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This paper explores the integration of Proportional-Integral-Derivative (PID) control in Adaptive Cruise Control (ACC) systems to enhance vehicle safety and driving comfort. It delves into the basics of PID control, its prevalent use in industrial systems, and its applicability in ACC. The principle of ACC, which leverages sensor data for speed and distance regulation, is elucidated. Various simulations under MATLAB/Simulink are discussed, comparing the PID-based ACC system with other control strategies. These simulations reveal the PID control's effectiveness in real-life driving scenarios, highlighting its rapid and accurate response in speed, acceleration, and spacing control. However, limitations, such as fixed parameter settings and suboptimal performance under certain conditions, are acknowledged. The paper also examines adaptations like fuzzy-PID control that enhance system responsiveness and precision. Conclusively, the paper underscores the significance of PID control in advancing ACC systems, paving the way for more sophisticated autonomous driving technologies. [ABSTRACT FROM AUTHOR]

The industry needs the ability of electrical engineers to program PLC-based industrial automation systems. Training this ability requires a simulator to visualize designs/plants in 3D and relate to real industrial contexts. To make teaching participants understand PLC-based control systems more accessible, we created a 3D visualization simulator for the induction motor speed control system as a conveyor drive. This article discusses designing and constructing an induction motor speed control system simulator as a conveyor drive. Conveyor visualization using factory IO software with real input from PLC is connected in a closed loop with VSD, induction motor, and encoder. This simulator teaches how to determine optimal Proportional and Integral (PI) controlling parameters and analysis of system response when there is a change in load on the conveyor. As a result, based on a series of tests, the 3D simulator of the closed-loop system for controlling the speed of the induction motor on the conveyor is functioning correctly. Optimal PI parameters are 20 and 12, respectively. The design responds to load changes to return to the setpoint condition average 11 seconds. [ABSTRACT FROM AUTHOR]

The pervasive integration of technology into our daily lives is a commonplace occurrence, extending its influence to operators of industrial systems who are increasingly harnessing the potential of new technologies. Adapting the use of cyber-physical systems (CPS) beyond their original scope is often necessary to support evolving applications. However, this heightened interconnectivity and exposure to the Internet make these systems more vulnerable to attacks, given the expanded attack surface. Timely detection of security issues in Cyber-Physical Systems (CPS) is critical due to their integration with the real environment, as delayed detection could lead to significant harm. Anomaly and intrusion detection play a pivotal role in identifying potential threats, serving as a prerequisite for initiating a prompt incident response. To address the industrial sector's specific needs, we illustrate the process of transferring and adapting existing detection systems. However, the restricted availability of data in industrial applications can pose challenges to the utilization of current detection systems, despite their indispensable nature. Consequently, we delve into valuable data exploration and introduce two Cyber-Physical Systems (CPS)-specific approaches to obtain essential information for existing intrusion detection algorithms. To optimize the efficient gathering of real-world data, we suggest employing a streamlined and effective compression technique tailored specifically for industrial network data. Recognizing the constraints of direct capture in specific scenarios, we illustrate the generation of suitable datasets through the simulation of underlying processes. In the domain of anomaly detection, we present an innovative approach crafted to address the unique conditions prevalent in Cyber-Physical Systems (CPSs). Harnessing the power of deep learning, we formulate a method for efficient feature learning and anomaly detection that can be applied to various industrial field bus protocols. Not requiring knowledge of data encoding in the protocols, this approach achieves detection rates as high as 99% for specific attack types. Building upon these foundational components, we investigate the behavior of distributed detection methods in Cyber-Physical Systems (CPS). Leveraging simulations of complex CPS networks allows for the evaluation and optimization of specific configurations. Through this process, optimal configurations can be derived, minimizing the time before detection or maximizing detection rates while considering resource limitations. In conclusion, this study provides crucial insights into the deployment of anomaly and intrusion detection systems within the industrial sector. The application of these measures in practical scenarios empowers operators to detect security issues at an earlier stage, thereby mitigating potential severe damages through prompt incident response. [ABSTRACT FROM AUTHOR]

In this paper, the Industrial Internet of Things (IIoT) is used to develop a design for an online industrial motor monitoring system. The system enables real-time data gathering, processing, and analysis from motor sensors to answer the growing demand for dependable and efficient industrial operations. Motor performance can be improved and preventive maintenance made easier by integrating IIoT technologies. The IIoT platform is cloud-based, and the system architecture includes motor sensors, a data acquisition system, data processing algorithms, visualisation dashboards, and interface with current industrial systems. While advanced analytics methods like machine learning and anomaly detection offer insights into motor health and enable predictive maintenance, the IIoT platform ensures seamless data transmission, storage, and analysis. Real-time motor health status, historical trends, and alerts are provided by a user-friendly interface to operators and maintenance staff, enabling prompt intervention and maintenance optimisation. The system also has security safeguards, scalability, and integration capabilities to support future development, protect data privacy, and make the most of existing infrastructure. Industrial settings can improve motor reliability, decrease downtime, and optimise maintenance practises by deploying an online motor monitoring system using IIoT. [ABSTRACT FROM AUTHOR]

The article examines the impact of the correct choice of power and operation of electric drives on the supply network, energy indicators of power supply systems, their energy efficiency based on real measurements at existing installations, as well as the technological process, also provides recommendations for eliminating negative influences and consequences, as well as a way to eliminate them. [ABSTRACT FROM AUTHOR]

Value stream mapping (VSM) is a valuable practice employed by industry experts to identify inefficiencies in the value chain due to its visual representation capability and general ease of use. Enabled by a shift towards digitalization and smart connected systems, this project investigates the possibilities of transitioning VSM from a manual to digital process through the utilization of data generated from a Real-Time Location System (RTLS). This study focuses on merging the aspects of RTLS and VSM such that their advantages are combined to form a more robust and effective VSM process. Two simulated experiments and an initial validation test were conducted to demonstrate the capability of the system to function in an industrial environment by replicating an actual production process. The two experiments represent the current state of conditions of the company in two different instances of time. These outputs from the tracking system are then modified and converted into inputs for VSM. A VSM application was modified and utilized to create a digital value stream map with relevant performance parameters. Finally, a stochastic simulation was carried out to compare and extrapolate the results to a 16hrs shift to measure, among other outputs, the utilization of the machines with the two RTLS scenarios. [ABSTRACT FROM AUTHOR]

Markov models are frequently employed in a variety of real-world systems, including industrial and queuing systems. Higher order Markov model (HOM) of inventory system including remanufacture, substitution, and lost sales is developed in this study. Additionally taken into consideration are deterioration during storage, disposal, and probabilistic demand. A separate warranty period for newly created and previously manufactured goods is returned to the manufacturer. We believe that a higher order Markov model has only occasionally been applied to a production inventory system. Finding the system's steady state presents a hurdle. Another challenge is that one of the state variables depends not on its previous states but on the previous states of other variables. determines the system's requirements at its steady state 3910 regulations. Our results show increasing in the re-manufactured and deteriorated items over time. Also, inventory levels in the three warehouses. Meanwhile, an opposite conclusion in the case of manufactured, substitution, and lost sales. Substitution processes lead to increase the expected average profit. [ABSTRACT FROM AUTHOR]

Companies in the manufacturing industry are facing the challenges of both reducing energy costs as well as driving decarbonization. As a result, energy efficiency optimization of factory operations is gaining importance. Due to their high share in the energy consumption of a factory, industrial supply technology is of interest for these optimizations. Particularly cooling systems used in factories often offer considerable potential for energy efficiency improvements, some of which can be realized through optimized control strategies. Optimization based on control technology in particular requires a high level of energy consumption transparency in order to identify potentials and measure efficiency improvements. However, industrial supply systems are often complex and interconnected facilities composed of a combination of various individual assets. Consequently, the energy efficiency monitoring and analysis of such systems typically require a high manual effort. To reduce this effort, we propose the development of a modular system model which decomposes complex, interconnected energy systems to individual, recurring assets. The system model consists of a standardized data exchange format, a standardization of structural and behavioral models in the form of a model library for industrial supply systems at different hierarchy levels, and a standardized interface for using the data model on a target platform such as an energy management software. The data model of the data exchange format maps data points such as the control and media interfaces as well as energy performance indicators of the individual assets in a standardized and consistent way. Similar to the concept of digital twins, the knowledge of manufacturers and operators about the system is to be seamlessly combined and utilized. By connecting the interfaces of the individual asset models, an aggregate structural model of a factory supply system is built. The aggregate structural model enables the calculation of consistent and comparative energy performance indicators at equipment and system level. In this way, the implementation of energy efficiency monitoring and the assessment of energy efficiency potentials and improvements is facilitated. The system model concept is demonstrated using an industrial cooling system comprising individual assets such as a cooling tower, a chiller and pumps. [ABSTRACT FROM AUTHOR]

In high volume extraction systems adhesions and agglomerations of particles are detrimental to the gas flow throughput. Particle-wall adhesions can lead to severe skull formation, i.e. agglomeration of deposits, especially at high operation temperatures, which have to be manually removed at high effort and costs. Therefore, the conditions of increased build-up phases as well as conditions for spontaneous removal through crack formation and chipping are of major interest. To understand relevant mechanisms the operational conditions in an industrial extraction system were thoroughly documented including analyses of the elemental gas phase composition. Additionally, the chemical compositions of agglomerated adhesion samples were investigated by means of XRD and ICP-OES as well as their inner structure by means of SEM. In a second step mechanisms leading to these build-ups were simulated on lab-scale. Thereto, original wall surface specimens were covered in adhesion powder of defined particle size. In experiments at different high temperatures between 800 °C and 1200 °C, gas compositions and with varying content levels of CaCO3 in the powders a layered structure similar to the real system could be obtained. Additionally, crack formation at certain defined conditions and under different atmospheres was observed, which is of major interest regarding the chipping behavior of the adhesion material from wall surfaces in application. Through laboratory experiments certain operating conditions within the calcination cycle could be disclosed for which the autonomous discharge of large particle-wall agglomerations is widely enhanced. Thus, a general process optimization to increase the performance of the extraction system was proposed. [ABSTRACT FROM AUTHOR]

The focus of the report is on the organizational design of the management system of the reengineering industrial enterprise. The redesigned mechanism, technology and organizational management structure are described, which become a key architectural solution for successful realization of the company strategy. The organizational design of the transformed enterprise optimizes the possibility to effectively realize the objectives set while guaranteeing minimum costs. [ABSTRACT FROM AUTHOR]

The goal of any innovation process is to transform scientific knowledge into a market-driven highly competitive product or technology. This goal of the innovation process in the bio-based industry is specified society. The object of the study is bio-based industry, operating in the conditions of rapidly changing interaction of nature, society and business. The focus is on the growing need to develop systems and models for industrial and social monitoring through the prism of process innovations in organic production. The subject of the research are the possibilities of process innovations in organic production through the prism of complex reengineering. The aim of the research is to reveal the importance of process innovations in organic production and their role in the application of bio-business models, incl. to identify good practices and support schemes and to increase the level of technological readiness of bio-based industry to participate and create a new generation of value-added chains through the prism of the theory of complex reengineering. [ABSTRACT FROM AUTHOR]

We are entering an era of radical and multifaceted transformations affecting the relation: "nature-economy". More and more transformations are directly related to the development of the bioeconomy, the circular economy and complex reengineering. At the heart of these transformations are process innovations in the three markets that determine the rise of each economy: the intellectual property market, the innovation market, and the investment market. Unfortunately, the world today is still largely governed by the intellectual tools of traditional management, neglecting process innovation even in such an important area for the development of human civilization as the bioeconomy. Methods and systems based on classical theories of human behavior management and classical theories of company management are applied. The object of the study is bio-based industry, operating in the conditions of rapidly changing interaction of nature, society and business. The focus is on the growing need to develop systems and models for industrial and social monitoring through the prism of process innovations in organic production. The subject of the research are the possibilities of process innovations in organic production through the prism of complex reengineering. [ABSTRACT FROM AUTHOR]

The article is devoted to the development of two types of radiators for influencing gaseous media and systems for cleaning industrial emissions installed directly in gas ducts. A feature of the ring radiator is the high uniformity of vibrations of the radiating surface, which ensures a high level of sound pressure within the central channel of the radiator. This allows it to be used as an acoustic barrier providing highly efficient coagulation of particles passing through it. A feature of the second type of emitters (tubular emitter) is the possibility of creating a sufficiently extended bending-oscillating section of the gas duct, which can also be used as a device for pre-treatment of the flow to combine the particles contained in it. [ABSTRACT FROM AUTHOR]

Data mining and text mining models have been frequently carried out in a variety of engineering disciplines and sciences. In this paper, we have evaluated data mining and text mining models in industrial and systems engineering. We have categorized the results by journal, country, applications, etc. The results show that there is an increase growth on all aspects of data and text mining in industrial engineering and these novel methods will change the future of industrial engineering professions. [ABSTRACT FROM AUTHOR]

This research paper introduces an innovative concurrent reliability computation model through experimentation, utilizing system vibration signals to address and minimize the adverse effects of misalignment on rotor system components. To assess reliability and understand the complex interplay, we present adapted design equations and employ a simulation-driven approach within the stress-strength interference paradigm. Furthermore, we suggest a framework to define secure and crucial thresholds for parallel misalignment and rotational speed, with the goal of achieving predetermined reliability objectives for flexible coupling pins. This model demonstrates efficacy in industrial rotor systems for regulating misalignment levels among components tailored to specific rotational speeds. [ABSTRACT FROM AUTHOR]

Cyber-physical physical systems find their place in all spheres of modern life and are in a stage of rapid development. The prospects for the development of cyber-physical systems affect the interests of society as a whole, so they should be considered not only in a technical, but also in a broader socio-cultural aspect. The scope of application of cyber-physical systems extends to industrial systems, energy, transport and military systems, as well as all types of life support systems. Researchers repeatedly consider issues related to ensuring the reliability and security of cyber-physical systems. It is very important to solve the proposed problem, firstly, a cyber-physical system is a complex system with a large number of structural elements that require coordinated and continuous operation of the elements for their operation. Secondly, the cyber-physical system is a fully automated system, and the reliability and security issues of automated systems have not yet been resolved. An important aspect of the development of cyber-physical systems is the requirement of security. Therefore, security requirements engineering has developed rapidly in recent years, and more and more security techniques have been proposed in the research community. To date, there are several studies available in the literature that have focused on examining security requirements engineering from different perspectives. In paper, information was obtained about the considered solutions for developing security requirements and tools for their implementation. The results showed that there is a growing trend of interest in security requirements engineering, especially in cyber-physical systems research. Research helps to better understand the methods used to ensure safety. [ABSTRACT FROM AUTHOR]

The work is dedicated to formalizing the process of designing embedded systems with distributed heterogeneous organization. The original model of representing a computational system as a set of computational platforms interconnected both hierarchically and within the same level is taken as the basis. The abstraction of a 'design platform' is interpreted as a design solution that is fixed for reuse and provides an application interface for building an "upward" hierarchy of abstractions alongside specifications for creating implementations "downward". Today, the stages of system design still suffer from a lack of essential design abstractions, which is evident both in the level of information presentation in technical documentation and in the capabilities of the design tools. The focus has shifted from discussing conceptual solutions toward final implementations. The authors demonstrate a system of architectural and microarchitectural abstractions aimed at developing methods and tools for conceptual-level design. This enhances the rationale behind design decisions by representing embedded systems as compositions of abstractions with a wide range of engineering-relevant parameters and characteristics. The authors develop an aspect-oriented approach to designing embedded computational systems, proposing a method for formalizing engineering-relevant attributes for diverse design abstractions such as network interfaces, protocols, controllers, drivers, operating systems, their components, programming languages, their translators, and virtual machines. [ABSTRACT FROM AUTHOR]

Vibration dampening is a conventional method for controlling and decreasing undue vibrations in mechanical systems. Vibrational energy is dissipated by impact, exchange of energy, and frictional contact. As a result, industrial systems like gearboxes use particle impact dampening techniques to minimize undesired vibrations. The purpose of this study is to offer data from experiments on the gearbox vibrations to investigate the impacts of particle damping under a variety of circumstances, including load, Ratio of particle filling, diameter of particle, quantity of holes, and healthy and faulty gearbox. It was analyzed and confirmed using data from experiments and computation, interpretation by tableau platforms. In this study, only particle dampingand its impact on vibration reduction are considered. Hence it is beneficial to examine the effects of particle damping and develop the most practical damping design for the gearbox system under consideration. The efficiency of damping in relation to loading was evaluated in this study using the Data analytical tool as the Tableau platform for the characterization of vibrational data. Gear vibrations are dampened using the particle method because of the creation of the novel approach, which lowers vibrations. the capacity to increase damping by changing the particle size and the number of holes while taking speed into account and keeping load constant. [ABSTRACT FROM AUTHOR]

Numerous industries contribute to air pollution by releasing smoke and dust into the environment. Devices called settling chambers are used in industrial exhaust systems to filter out solid particles. As they move through the chamber, gravity's pull causes particles to fall to settling trays, cleaning the gas. The particular area unit is quite reliable at collection comparatively little particles. Such structures should be operationally effective, constructional safe and is implemented and efficient. This style of those equipment is confined to their hydro dynamic, which is simply centred within the particle on the particle following settling concept, and borderline focus dedicated to construction security and value reduction. The method for designing a settling chamber that meets the requirements for fluid dynamics, structural safety, and cost minimization. [ABSTRACT FROM AUTHOR]

The open shop scheduling (OSSP) problem has a significant role in the modern industrial and manufacturing systems. As the problem size increases, existing precise approaches are rarely solvable. Therefore, in this paper, a heuristic approach is developed to solve the open shop scheduling model with large job size in fuzzy environment. The concept of dealing the jobs in a string of two job-blocks which are disjoint to crack given jobs are well throughout considered. The study provided in this paper is to attain an optimum string of blocks in order to diminish the makespan. To check the effectiveness and to confirm the performance, numerous illustrations are generated in MATLAB (2018a). Also, the comparison of the acquired results is made with the existing heuristics proposed by Johnson and Palmer. [ABSTRACT FROM AUTHOR]

In the era of Industry 4.0, human resources are an indispensable part of the production process, so the human-machine relationship in intelligent production is a very important theme. Based on the classical theory of digital twin and ergonomics, this paper discusses the expansion and internal relationship of ergonomics theory under the digital twin system and puts forward a concept of human-machine interaction under the digital twin system(HMDT). According to the concept of HMDT, a universal digital twin system framework with the controller as the core is established and its parts are introduced. Finally, this paper tries to apply the digital twin system to industrial robots. The purpose of this paper is to discuss the human-machine interaction relationship in intelligent production and expect to propose a practical application to provide a reference for related research. [ABSTRACT FROM AUTHOR]

Control mechanism of two hydraulic actuators is developed in the present study for industrial automation. The main objective of this research was to control two actuators and push different types of objects according to necessity. Two double acting hydraulic actuators are used to do the job. A microcontroller is used to control actuators. On the other hand, a pump is used to circulate the oil and a solenoid valve is used to control the flow of oil. Finally a low cost system was developed which was capable to produce thrust of 0.4 KN-0.6 KN. It is possible to control the speed of the actuators through the code which is uploaded in the microcontroller board. One of the main advantages of the electro-hydraulic system is that it can be moved easily from one place to another. In industries if high density force needs to be applied at different stages of a manufacturing process, this system can be implemented. [ABSTRACT FROM AUTHOR]

Solar Heat for Industrial Process systems, SHIP, has become a growing and attractive option to achieve the goal of the decarbonization of the industry sector. In this context, Fresnel solar concentrators are a proven and reliable technology that has been implemented in SHIP systems. In the present work, a quasi-dynamic model has been developed to simulate the dynamics, inertia, and energy performance of SHIP systems with a modular Fresnel collector coupled with a steam drum. The dynamics and performance assessment of a case study of a SHIP system with modular Fresnel collectors under the IEA-SHC Task 64 SubTask C/SolarPaces Task IV has been carried out with the developed model. The results show that the analyzed SHIP system provides an annual solar fraction of 21.6%. [ABSTRACT FROM AUTHOR]

Construction quality is defined as the achievement of a satisfactory level of performance in construction work. One of the variables considered in the management of construction projects is quality. The quality of the building can be determined by its performance and compliance with all applicable requirements. However, the construction sector is facing difficulties because the quality of several projects has fallen short of expectations. As a result, the problem of lack of attention to construction quality must be addressed. Therefore, the objective of this study is to identify the elements that affect construction quality in the construction sector when IBS are used compared to conventional techniques, as well as to evaluate the success of construction with IBS compared to conventional methods in terms of quality. The final objective is to evaluate the link between the elements affecting the building quality in the Industrial Building System (IBS) and the conventional technology, as well as the quality success of the building. In this study, the quantitative analysis was conducted through questionnaire surveys that included the G7 construction companies in Selangor interested in building quality. Stratified random sampling approach was used in this study. QLASSIC was conducted by 130 Class 7 contractors from Selangor registered with the CIDB. This means that 97 people from the population are needed to complete the questionnaires. The results suggest that the most important elements affecting construction quality are that the construction of IBS components is not affected by extreme weather conditions because the prefabricated components are manufactured in a controlled environment, unlike the traditional technique. In addition, unlike traditional methods, IBS requires the use of professional personnel to install the structural components. As a result, the quality of a building can increases and defects can be reduced if it is successful. The importance of this study is that it will help contractors improve their quality on certain jobs and reduce unsatisfactory results in the future. [ABSTRACT FROM AUTHOR]

The Industrial sectors are the ones that boost the national economy and the spirit of the developing nations. Here therefore the security systems should be worthwhile and evidence of the industrial growth. Most of us will be aware of the Internet of things that took all the credit nowadays and in this paper, we will be using the Internet of things for all the measures to take the industrial security system to a next level. In this methodology, we will be using real-time sensors for the collection of data‟s and then we will be enhancing the data‟s to ensure that it will work properly when there is an intruder through the artificial neural networking techniques to enhance the data‟s efficiency and the time-lapse of the event that happened. An auto-correction method is added to the algorithm to add extra efficiency for the system to work better. We will be using an artificial neural network to enhance the data‟s efficacy and it does not have any other purposes. The further process will be levitated by the sensors and successfully run the process. The entire database will be sent to the cloud server that acts as a barrier and no third-party system will be allowed to enroll and it needs a proper enrolled ID to access the cloud. The industrial security system is the most important factor and the reasonable position in all the economic development. Most of us think that it is a normal class of development that induces all the other factors of development stages. People think that the economy is surrounded by money but it is full of hard work and most essential amenities like the industry. The proposed system relieves all the myths behind the security system. The most important part of all these systems is to enhance the security devices in all forms. The security breach is one of the important perspectives and it cannot be contaminated. The sensor module is controlled by the controllers which are inbuilt into the systems. The internet of things is used to enhance the data frequency ranges while sending and receiving the data to the proposed system. Most of the devices use the same frequency ranges and IP address to control the data reception and transmission. The IP address is manually embedded in the controller. The IPO receivers are used to transmit the encrypted data sets to transfer the devices. The industrial security crisis is the most important system. The guarding range and angle from this proposed system are quite a bit easier and cheaper. [ABSTRACT FROM AUTHOR]

Motion detection and tracking systems used to quantify the mechanics of motion in many fields of research. Despite their high accuracy, industrial systems are expensive and sophisticated to use. However, it has shown imprecision in activity-delicate motions, to deal with the limitations. The Microsoft Kinect Sensor used as a practical and cheap device to access skeletal data, so it can be used to detect and track the body in different subjects such as, medical, sports, and analysis fields, because it has very good degrees of accuracy and its ability to track six people in real time. Sometimes research uses single or multiple Kinect devices based on different classification methods and approaches such as machine learning algorithms, neural networks, and others. Researches used global database like, CAD-60, MSRAction3D, 3D Action Pairs and others, while the others used their on database by collected them from different ages and genders. Some research connected a Kinect device to a robot to simulate movements, or the process done in virtual reality by using an avatar, where an unreal engine used to make it. In this research, we presents the related works in this subject, the used methods, database and applications. [ABSTRACT FROM AUTHOR]

A comparative analysis of the possibilities of using woven composite materials with specified sensory properties as information and measurement systems of the industrial Internet of Things (IIoT) is presented. It is proposed to consider such woven sensor systems as the basis for building a network interaction environment for components of wearable wireless sensor networks, as well as systems for monitoring the stress-strain state of products made of woven composite materials. [ABSTRACT FROM AUTHOR]

Object sorting based on various criteria is used in numerous industrial application systems. One of the criteria may be color. The process of waste segregation is no different, and plastic makes the third most waste product in the world. With the increase in production of various colored plastic bottle and containers these need to recycled differently than normal plastics due to the harmful chemicals that used to dye the bottle. The process of segregating waste prompts the generation of energy out of waste, diminishing landfills, recycling, and reduction of waste. The purpose of this study is to describe a color-based item sorting system that uses image processing. A webcam captures an image in real time, and image processing is used to identify color and extract information from it. This data is analyzed in order to select an object based on its color and location in a certain location. The aim of this project is to develop and automated sorting system through pick-and-mechanism using color detection which will include Red, Green, and Blue (RGB) using image processing. [ABSTRACT FROM AUTHOR]

Industrial systems are now more complex as manufactured units become more technical, manufacturing parts become more specific, and control standards change often. Digitalization attempts to address this issue by transforming systems to become more agile. Thus, production flexibility, quality, productivity, and dependability are all improved. Nevertheless, a considerable need still exists for efficient methods for developing models that can improve the capabilities of manufacturing systems. In order to achieve this goal, formal approaches and tools are becoming increasingly important. The developed tool takes as inputs a set of automata models for the plant and a set of semi-formal control specifications, and provides as output a set of distributed controllers in the form of Grafcet (IEC 60848 standard). Model-to-Model Transformations are used in the proof of concept proposition, which is developed as Eclipse open source solution. We illustrate the applicability of the framework through a manufacturing testbed example. [ABSTRACT FROM AUTHOR]

Warranty is an important part of product marketing that helps both manufacturer and customer. From the standpoint of the manufacturer, warranty can help the company make more money and improve its reputation. From the customer's perspective, warranty is seen as a dependable indicator to quality assurance (QA). The aim of this paper is to gain some initial insights on spare part analytics which is important for the development of any smart maintenance system in this new industrial era. We do this by first focusing on only one important aspect, which is warranty. This results in a discussion on some possible challenges that can be adopted in dealing with difficult issues related to spare parts warranty such as handling claims during the warranty period. [ABSTRACT FROM AUTHOR]

With the development of 3D printer technology, industrial zones now can produce much product through the connection of each layer of the material by using a 3D printer. But the lack of interest in the study of the room temperature with the air-conditioning effect on the quality of the product still not receive the attention of scientists especially industrial system engineers. In the present study, the 3D printer hook was used as the imitated object, and the effect of the temperature on the hook was analyzed on force resistance. The setup of the experiments and parameters of the hook was then progressed by Taguchi. Also, based on the experiment results, the Minitab17 software was used to analyze the data. By an inspection of the trend of the force resistance on the hook, indicating that the Nozzle temperature had the most significant effect besides the AC room temperature. The results for the optimal design parameters show a good agreement with the achievement for the best combination of the model on force resistance is P11P21P31. With the AC room temperature P11 (18℃), nozzle temperature P21 (195℃), fan speed P31 (30%) and the maximum force the hook can be resisted is 85.35 N. The conclusion is drawn about the effects of AC room temperature on force resistance of 3D printing hook then promote the new way for developing the method to apply for controlling the quality of 3D products. [ABSTRACT FROM AUTHOR]

Maintenance has become a major problem in maintaining the minimal rights and safety of clothing workers. The technicians of clothing plants face labyrinths, and one of them is undoubtedly broken out of fire. Investors lose their right and the sector's importance gets untouched. We have suggested in this study a system that can detect fires but provide a spot for the area impacted. For control combined with several sensors and camera, Raspberry Pi 3 is employed. In order to prevent false alert, we supplied validation of the fire suspected system. In addition to the image of the afflicted area and device, the service will next deliver a message. If the administration can confirm or reject the conviction, the system raises an alert quickly and a computerized message is sent to the local fire department if the admin is confirming that the issue breaks out. [ABSTRACT FROM AUTHOR]

The issues of increasing the socio-economic efficiency of industrial real estate reproduction based on the industrial parks construction as a top-priority segment of the national industrial construction market responsible for the sustainable development of the Russian economy based on the priority implementation of the eco-industrial development concept are investigated. The relevance of this field of research is determined by the significant demand for improved use of global trends in sustainable development, green construction and environmental development applied to modern forms of industrial construction i.e., the industrial parks, in the course of construction, reconstruction or modernization of competitive industrial real estate. The purpose of the study is to elaborate methodological approaches and practical recommendations for structuring efficient industrial eco-development models as investment and construction systems for efficient management of multi-format industrial real estate facilities' reproduction in the course of industrial parks construction within the framework of public-private partnership models. The study focus is on industrial construction systems as industrial eco-development structures responsible for investment projects management in industrial parks at all stages of the life cycle of operation. The scientific results given in this paper: the peculiarities of the industrial parks' market formation and growth in Russia and abroad, as well as the analysis of organizational impact methods related to the state priorities of the national formation and development of industrial parks; the experience of global and domestic implementation of the sustainable development, green construction and eco-development concepts in relation to the industrial parks' construction; the author's functional and structural modeling of industrial and construction systems as institutions of industrial ecodevelopment of industrial parks, as well as the determination of the life cycle sustainability integral indicators in these ecodevelopment models; graphical interpretation of the predicted ecodevelopment sustainability indicators as the economic reliability of the life cycle functioning of industrial construction in relation to the industrial park "Severny Almaz" in the East Siberian region at the early stages of its planning. [ABSTRACT FROM AUTHOR]

Covid19, which took place in 2020, had a profound impact on the entire human race. Because of its rapid and widespread spread, it is necessary to wear face masks and gloves to avoid touching anything with contact. Masks can shield humans, but industrial tools are not so well protected. They have a higher ability to spread disease, such asCovid19.As a result, hand-held industrial instruments must be sanitized. This complex problem is thus solved by using a smart electronic device controlled by a PIC controller. To solve this problem, a method of sterilization using ultraviolet-C lights is proposed and developed.The proposed device employs a pair of UV-C tubes to ensure a successful outcome. [ABSTRACT FROM AUTHOR]

The paper describes the development of a digital model of the cooler to calculate in advance the technical characteristics of refrigerating units. The simulation method is used to compare and present the measurement and calculation results through the simulation model. The mathematical model of refrigerating units has been studied and improved. It was concluded that technical characteristics of refrigerating equipment can be specified by means of computational methods. The model developed can be used during the energy audits of enterprises by the experts. [ABSTRACT FROM AUTHOR]

One of the most significant sectors, such as the reliability, consumer and capital goods industries, aerospace and defense industries, is now growing rapidly. In latest period's modern practices have been used to increase the profitability of maintenance assumptions based on real configuration of models. This article discussed about the reliability modelling and examination of industrial systems. The main aim of this thesis is to develop reliability models for industrial systems like Fly Ash Bricks Plant, Rubber Plant, Rice Mill, etc. In the old days, or even now, most of the brick-making industries use manpower to make bricks. It is easy and advisable to use manpower if this is a very small number of bricks, but when it is huge, only machines can operate quicker and easier than humans. Persistent job fatigue of workers leads to fatigue. Considering the above problems, we have introduced a novel idea of automatic brick making machine. In modern periods, scientists and researchers around the world have been trying to find ways to better utilize industrial waste, such as fly ash, red mud for production. Only a tiny amount of this Fly Ash (FA) is worn and the remaining large amount is poured. In order to match the supply, the line must shift from the usual and conservative style of bricks and construction resources of the previous century to a brand new and automated system. We precede an automatic Fly Ash Brick Making Machine (FABMM) that provides low effluence, immature compact and recyclable bricks to prevent these impacts. The second objective of this work is to find out the MTSF and the availability and other measures of the computer models to perform computer model Cost Benefit Analysis (CBA) and compare the mathematical results. [ABSTRACT FROM AUTHOR]

Designers of modern DC-DC converters for automotive and industrial systems challenges the issue of electromagnetic compatibility. Improper conducted emission level estimation leads to changes in the layout and the schematic of the device, which entails additional costs or increase the module development time. The paper solves the problem of increasing the accuracy of a conducted EMI simulation results for DC-DC converters by using component models that take into account parasitic parameters. A proposed approach for DC-DC converters design automation is using RLCG-models of printed circuit board traces and a library of reference layout solutions. The paper proposes a modified DC-DC converter design flow in order to reduce product development time. The measured results of conducted EMI from the designed step-down buck DC-DC converter module are presented and it is shown that including in the simulation circuit of preliminary estimated parasitic parameters at the pre-layout design stage helps to obtain an EMI profile close to profile obtained as a circuit simulation with extracted PCB parasitic parameters. [ABSTRACT FROM AUTHOR]

The modern level of industrial systems development is characterized by the complex nature of decided tasks. The certain interest has area of researches developed in theories of conformity. Technological designing and control are the process of acceptance of the various decisions. They determining technology and organizations of control of its feature of the technical equipment, methods of processing and other, and also process of calculation of values of the initial data necessary for the decision of numerous and various tasks of acceptance of those or other design decisions. [ABSTRACT FROM AUTHOR]

Industrial Building System (TBS) is one of the construction technology method applied in the low-cost housing construction sector. However, the use of TBS in the low-cost housing construction sector has received less response from the housing industry. In addition, problems with join and installation between TBS components are also often issues. The objective of the study is to identify the causes of the development of the construction sector which is still low on the exposure to TBS technology for the Affordable Housing project in Melaka. This study also explores the limitations and advantages of technology through two approaches, namely, the first approach is research sourced from previous studies as evidence to answer the problems of this study. In addition, the survey method through the distribution of survey forms is the second approach to obtain information on the findings of this study. A total of 44 peoples involved in this research study are comprised of contractor developers throughout Malaysia and in Melaka in particular. Overall, the results of the study collected from the answers of respondents and comparison with the results of previous studies found that the issues and problems that was highlighted in this questionnaire obtained a level of agreement that almost meets the facts contained in the literature review results. [ABSTRACT FROM AUTHOR]

The article is devoted to the results of the study of operation parameters ofthe modernized vertical-spindle cotton harvester for a row spacing of 60 cm. The development of constructive solutions and the improvement of the technical level of this machine were carried out within the framework of the intersectoral project with the financial support of the Ministry of Innovative Development and by order of the Ministry of Agriculture of Uzbekistan. Participation of research, design and testing institutions in the project made it possible to determine the directions for improving the harvesting device and the pneumatic transport system of the MX-2.4 industrial semitrailer. For the traditional technological scheme of harvesting apparatus operation, the parameters of the spindle drums, the working slot, and the modes of operation of the machine have been substantiatedtaking into account the features of the opened cotton bolls. The study of the aerodynamics of the pneumatic transport system of the semitrailer vehicle made it possible to create the rational design of the system and test it in field conditions. Comparative field tests of the machine were conducted according to the traditional harvesting method based on the state standards GOST 22587-91 and new methods of one-time picking, protected by patents of the Republic of Uzbekistan. The development and creation of a 4-row cotton harvesting machine of an improved technical level were carried out by the release of its experimental industrial samples. [ABSTRACT FROM AUTHOR]

The paper substantiates the systemic limitation of the application of the concept of a smart city in terms of duration of the planning horizon. It is shown that use of this method shall be based on the prerequisites for transforming the urban system itself in order to correspond to the current economic situation. In the analytical part of the paper, the assumption is substantiated that the method that makes it possible to assess and predict changes in the stage of the life cycle of the industrial system of a city are multidimensional classification algorithms that allow to separate objects in accordance with similar characteristics. The feature space of the problem of multidimensional classification will be an array of assessments of factors characterizing the state of the regional industrial system, such as: presence of markets for products to neighboring regions/countries, the availability of infrastructure for implementation of expanded production, and availability of raw materials and labor resources, the intensity of competition; availability of raw materials and local labor resources. As a result of approbation, research results were obtained with a sufficient level of statistical significance based on the estimates of these factors in the 50 largest cities of Russia. In conclusion, it was concluded that the regional industrial subsystems of the largest cities in Russia are at different stages of the life cycle, with the majority at the growth stage, which suggests that in these regions it is necessary to set the goal of long-term preservation of ecological landscapes, the load on which will continue grow in the coming decades. At the same time, in cities with industrial subsystems at the stage of maturity, it is necessary to plan for transition to a new type of arrangement of the regional economy, assuming that the next generation of residents will be mainly employed in the service sector. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) is a new development for several applications, including intelligent cities, physical security, intelligent grids, asset management and logistics, e-health, etc. Security issues now face industry for a day. The gas created by the machinery and stored asset concentrations are highly risky. Maintenance has become a major problem in maintaining the minimal rights and safety of clothing workers The technicians of clothing plants face labyrinths, and one of them is undoubtedly broken out of fire. Investors lose their right and the sector's importance gets untouched. We have suggested in this study a system that can detect fires but provide a spot for the area impacted. For control combined with several sensors and camera, Raspberry Pi 3 is employed. In order to prevent false alert, we supplied validation of the fire suspected system. In addition to the image of the afflicted area and device, the service will next deliver a message. If the administration can confirm or reject the conviction, the system raises an alert quickly and a computerized message is sent to the local fire department if the admin is confirming that the issue breaks out. [ABSTRACT FROM AUTHOR]

This paper proposes an approach for modeling and simulation testing of a robotic technological system and generated technological process for machining of complex parts in the environment of a specialized software package Roboguide. After verification, the generated and calibrated control programs are sent to the robot controller and the executive machining modules for execution via Internet/Ethernet connection. The system includes an industrial robot - executive machining modules - input-output belt conveyor. [ABSTRACT FROM AUTHOR]

The purpose of this research is to provide a solution for expanding the potentialities of Mitsubishi industrial robot system for interaction with its environment by the means of connecting with additional hardware, which is open-sourced, more flexible and much cheaper than the corresponding high-end branded equipment. In Part 1, system components and their connection options are reviewed. Attention is paid to the communication functionalities, which could allow inclusion of external devices. Some disadvantages of the available programming and processing capabilities are highlighted. The paper proposes a method for improvement by adding a Raspberry Pi microcomputer to the robot system and ensuring its proper communication trough MC Protocol. It can serve as a linking layer for other external devices such as data processing equipment, various sensors and vision systems which to enrich the robot performance at an affordable price. [ABSTRACT FROM AUTHOR]

Cooperative lifting (co-lift) is an important application of HRI with use-cases in many fields such as manufacturing, assembly, medical rehabilitation, etc. Successful industrial implementation of co-lifting requires the operations of approaching, attaching, lifting, carrying and placing the object to be handled as a whole rather than individually. In this paper, we target all stages of cooperative lifting in a holistic approach and extend previous results in [1] using IMU-based human motions estimates by introducing force-based control. We demonstrate through experiments on a UR5e robot how the force-based approach significantly improves on the position-based approach of [1]. Additionally, we improve the real-time control capabilities of the system by using a real-time data exchange communication interface. We believe that our system can be an advancing point for more human motion/gesture-based HRI applications as well as increasing the uptake of human-robot co-lifting systems in industrial settings. [ABSTRACT FROM AUTHOR]

Industrial companies can generate a high number of environmental impacts, often making it challenging to assess and monitor corresponding aspects. The ongoing development of the Industry 4.0 concept and its associated digital tools can be leveraged for the measurement and real-time monitoring of specific environmental impacts. Within the scope of this study, we focus on the design of a real-time environmental impact measurement and monitoring system for an industrial production unit, utilizing certain Industry 4.0 tools such as IoT devices. Additionally, we propose a comprehensive design approach based on a series of steps, including the identification of environmental aspects. In the literature, various approaches and methods are employed for identifying environmental aspects and impacts. These approaches often begin with the preliminary identification of processes and activities, followed by the identification of environmental aspects and impacts specific to those activities. However, the number of specific activities within an industrial production facility can be substantial, resulting in a high number of environmental aspects and impacts, and subsequently, a large number of sensors required for measurement and monitoring. To minimize the sensor count, we suggest adopting a holistic approach for identifying environmental aspects and impacts within our design process. The design approach we propose, founded on a set of steps, enables the management of complexity, cost, and project timeline for the development of an environmental impact measurement and monitoring system for an industrial unit. This work builds upon some of our prior research and publications in the fields of environmental impacts and Industry 4.0. [ABSTRACT FROM AUTHOR]

During all the historical processes which the world knew in the industrial field, from the first manufactures until today, while passing by course of the industrial revolution in XIXth century, the development of the mode of management of the company made always the concern for managers, business leaders and industrial researchers.The way to see, consider, understand, analyze and lead an organization must depend on the environmental constraints applied, because the incessant change in the business environment on all fronts has always been proof of the need to gradually rethink how the organization is managed.It was the trigger for the global experience with organizational management models, brought about by the transition from the Taylorian model of seeing the company as a whole, to a process system or “System composed of subsystems mutually influencing themselves through interactions and having their own objectives but working together towards a common goal” according to the work of researcher Jay W. Forrester. We aim to enhance and implement the system approach in the sphere of improving the dependability of a production system, in order to synchronize optimizing the Safety, Reliability, Maintainability and Availability attributes to optimizing the maintenance cost for a system. [ABSTRACT FROM AUTHOR]

Industry 4.0 and fourth industrial revolution (4IR) technologies are hot topics in the current business and technological era. However, very limited studies reported extensive reviews on these two research areas. The purpose of this paper is to give a comprehensive overview of the implications that 4IR technologies have on the Sustainable Development Goals based on the review and the analysis of the available literature. This study uses a literature review approach to find out the current research progress and future research possible of 4IR in terms of application and sustainability implications in the manufacturing sector. The paper is structured to give an insight into the role and impact of different 4IR technologies for manufacturing Sustainable Development Goals, then moves through the implications of new technologies on the Sustainable Development Goals, and finally, points out the areas that need to be addressed. We proposed a framework that identifies the effect of Industry 4.0 technologies on Sustainable Development Goals. This paper just tapped into the potentials and issues that 4IR while leaving room for indepth research of any of the analyzed areas. The result of the study shows that 4IR has a significant impact on manufacturing sustainability. The findings of this study provide new research scopes and future research directions in different research areas of 4IR which will be valuable for industry and academia in order to achieve manufacturing sustainability with 4IR technologies. [ABSTRACT FROM AUTHOR]