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OPC has been widely applied to coal mine automation control system as an industry standard of communication between the field control substation and PC in the control system. In this paper, through the analysis and design for the transport system of coal mine belt conveyor, communication between the PC and S7-300 PLC is realized by using OPC technology. This paper gives the configuration scheme of OPC Server and develops the OPC Client program. The actual operation shows that the system is stable, reliable of communication and high of data real-time.

Considering thermal power plant boiler’s nonlinear, large delay and time-varying, the paper proposes a compensatory fuzzy neural network control based on fuzzy control and neural network control. The compensatory fuzzy neural network is better than the PID controller and general fuzzy network controller in properties by using fuzzy inference and compensatory arithmetic. The paper makes a preliminary simulation using simulation tools of Matlab. And, the superiority of the compensatory fuzzy neural network control is proved by comparing the two kinds of simulation.

For the varied circumstances in the evaluation of complex power communication systems, this paper proposes a reliable evaluation method based on normal cloud model and fuzzy Petri net. The simulation results show that the model in this paper can effectively evaluate the system reliability when compared with the other models for the same factor.

The fault in power system cannot be completely avoided. In this paper, we developed a method to resolve fault localization problems in power system. Though the data acquisition process has been highly automated, the process of assimilating and analyzing data still lags behind. Raw data must be transformed into knowledge in order to help users decide how to respond to the event and implement the necessary actions. A promising technique for substation event analysis using rough set theory is described in this paper. It interprets the data and outputs meaningful and concise information, which improves the performance of a data analysis system and help with the knowledge acquisition process. A substation model was developed to generate various fault scenarios for our case studies to evaluate the performance of the rough set algorithm. The results show that it works well and efficiently with the overwhelming data.

In this paper, the process of the developments and changes of the network intrusion behaviors were analyzed. An improved epidemic spreading model was proposed to study the mechanisms of aggressive behaviors spreading, to predict the future course of an outbreak and to evaluate strategies to control a network epidemic. Based on Artificial Immune Systems, the concepts and formal definitions of immune cells were given. And in this paper, the forecasting algorithm based on Markov chain theory was proposed to improve the precision of network risk forecasting. The data of the Memory cells were analyzed directly and kinds of state-spaces were formed, which can be used to predict the risk of network situation by analyzing the cells status and the classification of optimal state. Experimental results show that the proposed model has the features of real-time processing for network situation awareness.

Introduced key technologies of Automated Testing Framework. Firstly, started from the opinion of software reusing, combined with the characteristic of Object-Oriented software and based on analyzing the feasibility of software reusing, this paper discusses the significance of Design Pattern. Secondly, in order to make the framework reusable, expansive, maintainable, referenced the idea of XUnit framework, Pattern generating Framework, this paper gives detailed introduction about the key technologies that are used in the ATF framework. The framework is implemented by using and applying many existing related design patterns and techniques such as Command, Observer, Composite, Adapter and Template Method, etc. In addition to the above, this paper also describes (Automated Testing Framework for N.E.W.), which is apply ATF to the functionality testing of N.E.W. It also analyses the test results, the framework’s shortage and provides the improved advices.

With the development of network science, the link prediction problem has attracted more and more attention. Among which, link prediction methods based on similarity has been most widely studied. Previous methods depicting similarity of nodes mainly consider their common neighbors. But in this paper, from the view of network environment of nodes, which is to analysis the links around the pair of nodes, derive nodes similarity through that of links, a new way to solve the link prediction problem is provided. This paper establishes a link prediction model based on similarity between links, presents the LE index. Finally, the LE index is tested on five real datasets, and compared with existing similarity-based link prediction methods, the experimental results show that LE index can achieve good prediction accuracy, especially outperforms the other methods in the Yeast network.

In this paper, we apply the Sugeno integral to text classification, which generalizes its usefulness as a classifier. In the classifier, the traditional weight method is replaced by fuzzy measure. Based on word co-occurrence frequency theory, which is improved in the paper, and based on 2-additive measure theory, this paper build a fuzzy measure model well. The paper creates the Sugeno integral text classifier in the last.

This paper presents our recent work towards the development of a public transportation query system based on speech error correction and natural language processing. The system enhances the accuracy of speech recognition by combining rules and word frequencies. This paper summarizes and classifies the error types of speech recognition in the field of transportation query, and then brings forth a semantic framework and a word-frequency-precedence mechanism with pinyin-text mapping. For the text after correctly recognizing, the system extracts the origin and the destination by forward-search-backward-match algorithm. And it synthesizes the least transferring algorithm and the shortest path algorithm to find a route. So it has characteristics of humanity and intelligence.

This paper targets to the lag of code protection technology for Mach-O executable file on iOS. Consideration of code tamper, code injection on iOS, this paper has proposed a code protection scheme MFP(Mach-O File Protector) featuring with both encryption function and anti-debugging function based on UPX(the Ultimate Packer for eXecutables). Compared with UPX, MFP encrypt Mach-O executable file through 3DES and insert anti-debugging code to disable mainstream debugging software.

With the rapid development of network, the security problem of network becomes an issue which has been paid more and more attentions to. Among so many methods of intrusion prevention, data mining is a very effective one. The FP-growth algorithm is the most widely used algorithm for mining frequent item-sets, which is also an algorithm for mining association rules without candidate set. However, the FP-growth algorithm needs large memory when mining large database,and its running speed is slow. In order to overcome these problems, based on the FP-growth algorithm, this paper proposed an optimized algorithm. This paper compared the new algorithm with the previous one based on intrusion prevention model for campus network by experiments. Based on Experiments, we can draw the conclusion that, mining association rules by using the improved FP-growth algorithm can effectively detect the users’ behavior pattern, historical pattern and the current model to calculate the similarity of users, and provides the possibility to accurately judge the user behavior.

Facing asymmetric threats in a network centric environment, modern naval command and control systems confront increasingly demanding challenges in data fusion. It is very important to efficiently and promptly predict the enemy’s or adversary tactical intention from level 2 data fusion. In this paper, a layered intention model is proposed to represent the uncertain elements relating to adversarial intention and their uncertain relations in naval battlefield domain. The main ideal of this paper is to develop a hierarchical Bayesian network based on situation-specific Bayesian network (SSBN) and dynamic Bayesian network (DBN) that can be adapted to cope with the multi-timescales layered intention recognition problem.

Along with the rapid development of computer technology, application of technology of network, communication, database and so on to the daily teaching activities become very practical method. The network examination is an attempt to replace the traditional examination mode, more and more subject’s examination using a paperless network examination mode. In this paper, we take basic computer course as an example, investigate the related evaluation technology, and give the basic design principle and coding method for automatic scoring function of basic computer course papers.

Neural network has obvious advantages on dealing with the uncertain problems with a huge amount of data. Some equipment’s faults performance of such characteristics that the date is abundant, and failure phenomenon is not explicit and uncertain. Then, it leads to being hard to diagnose the faults through the traditional diagnosis method in a short time. This paper will analysis the data feature and then build a model to deal with the qualitative data attributes in order that the BP network can use it smoothly. Calculation result shows that using this method, fault diagnosis can be simply and quickly. The paper also provides a new kind of composite way to figure out fault positions for the front-line operators based on experts’experience knowledge but not on measurement signals.

This paper investigates the quasi Z-source cascaded multilevel inverter for a photovoltaic system with maximum power point tracking. The main advantage of quasi z-source configuration is that it has boost characteristics and inversion capability in a single stage avoiding complexity of having a number of converter stages thereby increasing the efficiency. Also it has continuous input characteristic which makes it best suitable for PV applications. Perturb and Observe (P&O) algorithm has been chosen for tracking the maximum power point of the PV source. Five level cascaded inverter with quasi - impedance network powered by PV sources has been considered in this paper. Maximum constant boost control technique has been implemented for controlling the shoot-through period of the inverter. Simulation of the proposed topology has been carried out in Matlab/Simulink and performance parameters have been calculated and the results are verified.

This paper mainly discusses the application of the mass real-time data mining technology in equipment safety state evaluation in the power plant and the realization of the equipment comprehensive quantitative assessment and early warning of potential failure by mining analysis and modeling massive amounts of real-time data the power equipment. In addition to the foundational technology introduced in this paper, the technology is also verified by the application case in the power supply side remote diagnosis center of Guangdong electric institute.

Frequent pattern mining has been an important research direction in association rules. This paper use a methodology by preprocessing the original dataset using fuzzy clustering which can mapped quantitative datasets into linguistic datasets. Then we propose a algorithm based on fuzzy frequent pattern tree for extracting fuzzy frequent itemset from mapped linguistic datasets. Experimental results show that our algorithm is shorter than the F-Apriori on computing time to huge database. For large database, the algorithm presented in this paper is proved to have a good prospect.

Cloud computing can dynamically allocate the software or hardware resource and information resource in accordance with the needs of different computer users, so as to expand the virtual resources of computer, but data information exists a big security risk in the process of data parallel calculation or the data sharing, so it needs to carry out the risk assessment on the security of signal. In cloud computing, this paper introduces the second-order difference quotient calculation principle in the model of information risk assessment that has accelerated the speed of information risk assessment, and adopts second order linear security authentication model that has strengthened the security of the cloud computing. In order to verify the validity and reliability of the model, this paper uses C program language to design the algorithm and inspects the cloud data with possible existing risk, and then it obtains the deviation curve of numerical calculation and theoretical value, which provides the technical reference for the research of cloud information security technology.

The proposed paper deals with two main ideas. The first is focused on design and realization of CNC engraving machine prototype where are described the principles of its mechanical construction focused on measurements of an electromagnetic diamond percussion tool prototype used for stone engraving describing its basic features and potential applications. The paper includes also chapters about electrical connections design and software/firmware implementation. The second part presents design and implementation of new algorithm for searching the shortest path connecting all bitmap pixels that need to be engraved with respect to specific constraints given by hardware of bitmap CNC engraver. New algorithm considered as a heuristic approximation of Hamiltonian shortest path was implemented and tested on a real prototype of a bitmap CNC engraver. Results of experiments are listed. Concerning a set of 17 real-life bitmaps, the new algorithm saves from 7% up to 17% of overall engraving time compared to original line-by-line tool path.

This paper introduces genetic algorithm in sensor path loss model, improves the target recognition function of sensor, and obtains the sensor target recognition method with relatively high resolution. We use MATLAB software, M function and genetic algorithm toolbox of MATLAB to design the algorithm, and apply sensor target recognition method in the identification of free combat action, and design the free combat movement recognition system based on wireless sensor. In order to verify the effectiveness and reliability of the system, this paper recognizes a set of continuous and rapid transformation of free combat movement, and obtains the curve of action recognition number changing with time, and the continuous action is displayed in the form of visualization. It provides the technical reference for the design of the free combat movement.

Cloud data centers should be flexible and available to the data forever. The replication method is used to achieve high availability and durability of cloud data center, if there is any failure to recover the messages from the cloud databases. The concern of this replication technology is that, the replica size is equal to the size of the original data object. When Error Detection Schemes were used, there is a reduction in the number of cloud distributed storage systems. The scope of this paper is to store the data efficiently in cloud data centers unlike the previous schemes which used erasure codes such as Reed Solomon codes only with a view to store data in datacenters. This paper proposes to encrypt the message using DES and to encode the message using Reed Solomon code before storing the message. Storing time is convincingly good in Reed Solomon code when compared with tornado code.

This paper analyses the security risks of the internal and external enterprise computer network, points out that the internal internet security of enterprise should focus on prevention which includes a variety of network security technology and the establishment of logging and review system. This paper also discusses the main technology of external internet security prevention such as firewall technology and encryption technology and so on and provides some suggestions about risk management and network security for some small and medium enterprises.

VxWorks operating system has been widely used in the field of embedded real-time operating system for its good reliability and excellent real-time performance. In this paper, the robot PC control interface is designed under VxWorks development environment. By reading the 24-bit true color bitmap, the image data is stored in memory, and window is created using WindMl multimedia database, bitmap is created and displayed in the window, background is displayed using the entire bitmap, buttons and text boxes are displayed by modifying and updating the corresponding position image display memory. The paper gives some modules of code, the method used is simple common, and the design interface is beautiful.

This paper discusses some specific problems in the process of palletizing firebrick by industrial robot, and then discusses the optimization of the palletizing method by proposing two optimization goals. First, a mathematical model containing two objectives for the optimization is constructed according to the palletizing problem. Then, in order to solve this optimization model, this paper uses the Pareto genetic algorithm, and states the procedure of this method in detail. Finally, an example is taken to prove the effect of the optimization model by using MATLAB.

—– In this paper, problem faced by grid connected pv inverter is presented. Inverters connected to grid are mostly affected due to short circuit problems in the power systems. Therefore it is essential to analyze power quality disturbances in order to improve the quality of the system. Performance of inverter is affected severely by voltage sag compared to other type of power quality disturbances. Also in this paper, multilevel inverter with sag condition and without sag condition is simulated using MATLAB/SIMULINK software

This paper presents the design process of human knee implant. The design has been used CT scans from the actual clinical trials. To make a 3D model from CT images Materialise Mimics software was used. On the basis of the resulting model, further work was carried out to obtain a STL model is necessary to carry out research numerical finite element method. This paper presents the results of numerical only one element of which is the medical polyethylene insert, which will act as a prosthetic meniscus.

As sensor, semiconductor, embedded processing, such as the development of technology, smart home system is more and more get people's attention, make household intelligent has become a development trend. This paper analyzes the key technologies of Internet of things intelligent household the functional requirements, and the key technology of Internet of things intelligent household, expounds the principle and design requirements of the system, on this basis, design a set of relatively complete Internet of things intelligent household system. The smart home system designed in this paper can realize monitoring, alarm, control and reflect the intelligent household convenience and practicability, has wide application prospect.

In this paper, we mainly explore how to design and implement the user interfaces of Electricity Operation Information System based on Android. The paper extends its process as the following four aspects---requirements analysis, UI design, interaction design and programmatic implementation. In response to user actions fluidly and friendly, we add modules to handle exceptions. In the end, we give a briefly test on the system UI to ensure it run smoothly and make less mistakes. There are limited studies focusing on the flow design of UI combined with programmatic implementation. The UI design and implementation methodology has good reference at the early stage of developing an application, especially on Android platforms.

The goal of the presented article is a description of an inductive method of knowledge structure creating, which may be applied in a system of an autonomic vehicle control. The paper deals with the relatively simple task of industrial vehicles control, which operate in a specific environment. The information about the environment is achieved from camera mounted on the vehicle. An analysis of the image leads to the construction the knowledge in a form of structure of concepts (i.e. classes) and objects. The proposed approach is illustrated by simple example. The paper describes crucial problems of the proposed knowledge creation, especially concerning initial assumptions about visible phenomena and problems of the knowledge updating (learning). The article attempts to formulate conditions determining a successful usage of the proposed methodology. The main condition is building an efficient methods of searching the proper concept structure.

The paper introduces Working mode of brushless doubly-fed machine（BDFM） and mathematical model in the d-q coordinates for BDFM，a strategy of discrete space vector modulation in direct torque control for BDFM has been Proposed 。The paper uses Matlab / Simulink to model and simulate the system of the direct torque control for brush double-fed motor based on discrete Space Vector Modulation.Simulation results prove that the discrete space vector modulation technique can reduce the torque ripple of traditional direct torque control system for BDFM, and improve waveform of current and Flux of Control winding.

UCT (Upper confidential bounds on Trees) has been applied quite well as a selection approach in MCTS(Monte Carlo Tree Search) in imperfect information games like poker. By using risk dominance as complementary part of decision method besides payoff dominance, opponent strategies is better characterized as their risk factors, like bluff actions in Texas Hold’em Poker . In this paper, estimation method about the influence of risk factors on computing game equilibrium is provided. A novel algorithm, UCT-risk is proposed as modification about UCT algorithm basing on risk estimation methods. To verify the performance of new algorithm, Texas Hold’em, a popular test-bed for AI research is chosen as the experiment platform. The Agent adopted UCT-risk algorithm performs as well or better as the best previous approaches in experiments. And also it is applied in a poker agent named HITSZ_CS_13 in the 2013 AAAI Computer Poker Competition, which confirms the effectiveness of the UCT-risk provided in this paper.

Fuzzy rules and its inference mechanism are the assurance of achieving feature fusion. Conventional Proportional Integral Derivative (PID) control is often used in present industrial field. Because the control parameters are fixed, the tuning results are difficult to meet the demands and the system is unstable or even out of control. This paper has a design and analysis on the dual thumb pneumatic flexible robot hand base on the active flexible bending joints we have developed. The flexible joint is composed of four elongation artificial muscles with parallel arrangement. The robot hand has five multi-actuated fingers each with three flexible joints. In this paper, Matlab is used to confirm that the fuzzy control system has good adaptability and anti-jamming capability.

According to the analysis of text feature, the document with co-occurrence words expresses very stronger and more accurately topic information. So this paper puts forward a text clustering algorithm of word co-occurrence based on association-rule mining. The method uses the association-rule mining to extract those word co-occurrences of expressing the topic information in the document. According to the co-occurrence words to build the modeling and co-occurrence word similarity measure, then this paper uses the hierarchical clustering algorithm based on word co-occurrence to realize text clustering. Experimental results show the method proposed in this paper improves the efficiency and accuracy of text clustering compared with other algorithms.

Fine arts, in recent years, with the rapid development of information technology, its diverse artistic expression trends to be more obvious, at the same time, the artistic expression based on multimedia has been paid more attention by the fields. This paper firstly analyzes the general characteristics of art image fusion process in multimedia environment. On this basis, the digital-to-analog conversion (DAC) method of multimedia artistic expression is proposed, which takes the Gauss Pyramid as basis. In order to verify the scientificity of this method, this paper adopts the empirical method to carry on the empirical analysis. The results show that multimedia artistic expression behavior of fine arts based on this method is significant, and has strong practicability and operability.

Inspection tasks of pipes or channels are part of the engineering practice. In the past there were investigated conventional approaches like wheeled-based mechanisms. This paper deals with unconventional approach - snake robot moving in the pipe. In the paper locomotion pattern of concertina is introduced and subsequently kinematic model of concertina locomotion is established. Main requirements and conditions of presented locomotion pattern are stated. Using software Matlab the kinematic model is simulated according designed locomotion pattern in order to verify the kinematic model. For experimental purposes the experimental snake robot – LocoSnake is used. Simulation and experiment are compared and evaluated.

Currently, the electromagnetic environment has become more and more complicated. So, the research of real-time monitoring and analysis of regional radio signals and real-time display the electromagnetic situation of the region is more and more important. In this paper, the related technologies of the spectrum of existing monitoring systems is in-depth studied, and its own characteristics is analyzed, and on this basis, the reasons of using a distributed spectrum monitoring system is discussed. Secondly, for the demand of the issue, this paper put forward a design concept of distributed spectrum monitoring system which based on middleware, in other words, to apply the middleware technology to the distributed spectrum monitoring system, using the middleware to achieve the distribution of tasks and transmission of the results when coping with multiple testing tasks. Finally, designed and implemented the middleware, and the reliability and performance of middleware have been tested.

Through the software defect prediction can effectively guide the rational distribution of software system development resources, so as to improve the quality of software and software reliability. In order to fully utilize the existing historical data to guide the software development of existing software system development, this paper based on an improved classification and regression tree (Classification and Regression, CART) algorithm software defect prediction models. The paper first principal component analysis of the data predicted correlation dimension (Principle Component Analysis, PCA) between data and reduce the data, and configured according to the theory and optimized CART decision tree algorithm, existing software defect prediction system, and with traditional defect prediction method, the experimental results show that the proposed prediction model has higher prediction accuracy and stability.

According to data accumulated for years by ship operation enterprises, this paper designs and develops long voyage vessel data warehouse in order to manage and analyze these data. This article gives a detailed description about the design of data warehouse including theme analysis and design method for logical model and physical model. On the basis of data warehouse, multi-dimension data set is built and OLAP is applied on ship voyage situation statistics and analysis. The result shows the long voyage vessel data warehouse in this paper is effective and practical.

First of all, this paper expounds the necessity of designing the system of submit online of graduation design documents, analyzes the problems existing in document management in Zunyi medical university; Secondly, the system of paper submission of the documents was carried on the concrete analysis and design; Finally, by comparing the time cost of the traditional way of documents management of 2012 with the online mode to documents management of 2013, it is concluded that the submission system online can improve the work efficiency and has more advantages.

For the purpose of settling problems in the present automated testing frameworks, the paper presents an automated testing framework based on keyword driven technology. At first, it summarized and analyzed the recent automated testing frameworks; and then it proposed the framework’s system architecture, and also presented the key technology details of the framework. At last, this paper compared this paper’s framework with the recent frameworks by the IP phone, which proved that this framework had superiority in reducing the scale of test scripts, raising the overall efficiency of testing and so on.

This paper puts forward a safety inspection system for the security issues of miners carry contraband under well. This paper give the composition block diagram of the underground millimeter-wave detection system, and design the data acquisition module, present a design scheme and give the work flowchart.

Vibration-assisted turning combines conventional turning with high-frequency, small-amplitude tool vibration to improve the machining quality of intractable materials like titanium and nickel alloys used in aerospace applications. Elliptical vibration-assisted turning is a kind of two-dimension vibration-assisted turning. The tool tip is driven in an elliptical locus. This paper illustrates a miniature cutting tool designed for elliptical vibration-assisted turning and proposes a set of general formulas by kinematical analysis. These formulas show the effects of different vibration parameters on the final elliptical locus, and these effects are verified using MATLAB at the end of this paper.

The paper deals with optimization of the production process in a selected company. The proposal of elimination of bottlenecks that were revealed in the analysis of the production process is described here in this paper. For clarity and zooming of the production process models were processed in a simulation software module from Siemens PLM Software - Tecnomatix Plant Simulation. Improvement suggestions will help to reduce the time of production operations, to improve product quality, to facilitate the work of the staff and to increase economic efficiency of production. The application of PLM software enables companies to analyze and easily develop manufacturing processes in the future, or to build new processing lines and departments [4]. It will help to optimize the current state of workplace and will allow easier data management throughout the life cycle, not just within this particular company, but throughout the corporation to which the enterprise belongs.

The store image has 8 factors including merchandise image, service image, price image, convenience image, promotion image, atmosphere image, facilities image and reputation image, and the management of store image work is very complicated and inefficient. This paper proposed a solution which optimizes the management of store image based on Wechat Public Platform. Firstly, this paper describes the problems existing in the management of store image work, and introduces the development status of Wechat Public Platform. Then it discusses the design and implementation of solution based on the Wechat Public Platform.

This paper provides the simulation for a designed vehicle dispatching and routing system for safe and efficient vehicle transportation. The objective of the simulation is to verify the performance of the cooperative dispatching and routing decisions for vehicles within a specific area consisting of streets and several intersections. In addition to computing a specific routing path for the arrival vehicle based on its destination and safety considerations, the proposed scheme provides a detour mechanism under the transportation cost constraint. This paper also points out the existence of hidden conflicting path problems in the dispatching approach and proposes a backtracking approach to solve this problem at the route decision phase so that the travel time can be guaranteed. The simulation results show that the proposed scheme can effectively assign the vehicles with proper routes and without any collisions with good performance.

This paper mainly studies the method of dynamic embedded Web server technology and its realization. Taking S3C2440 processor as the core hardware platform, constructed the software system of based on Linux operating system on the hardware platform; Analysis the key technology of web server, select Boa as the embedded web server, Boa server and CGIC database successfully transplanted and run the static Webpage; The paper detailed analysis of the CGI technology and using C language to compile the CGI program to realize dynamic Web server, realize the use of the Web browser to the remote Web server access control function.

Many electrical engineers would agree that, had it not been for the improvement of von Neumann machines, the improvement of write-ahead logging might never have occurred. In this paper, we prove the simulation of virtual machines, which embodies the significant principles of theory. In this position paper we present a multimodal tool for deploying the Internet (Graff), which we use to prove that thin clients can be made metamorphic, certifiable, and "smart".

Automatic Dependent Surveillance Broadcast (ADS-B) system signal error detection and correction process scheme are introduced in this paper, and the working principle of cyclic redundancy check (CRC) is described. Then, this paper provides an error correction algorithm based on the confidence judgment and an error correction process flow chart based on ADS-B system. Finally, the design of CRC checksum is performed by taking use of Verilog HDL, and the simulation and verification are achieved in Modelism software platform. Experimental results show that the algorithm can carry out verification and error correction for ADS-B responding signal and can improve the reliability of ADS-B system signal transmission.

The formal modeling method can accurately describe systems. Using formal method to test software improves the efficiency of software testing and it is comprehensive. Common real-time embedded software formal testing methods include Z language, finite state machine (FSM) and unified modeling language (UML), Petri net and time input/output automata (TIOA). This paper analyzes the characteristics of embedded software testing. The above formal methods and test case coverage criterions and test data collection methods are introduced. Combined with the characteristics of missile-borne software, this paper presents suitable ideas of testing missile-borne software.

The paper designs the urban-rural power grid dispatching fault diagnosis expert system which acquires fault information by SCADA system of automatic system of urban-rural power grid, and uses artificial intellegence method to analyze fault information and make fault diagnosis. The paper implements the core part of the fault expert systemthe design of knowledge base and fault inference engine.