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Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the steady progress of intelligent mine construction and the acceleration of the implementation of digital transformation of coal enterprises, the demand for digital business applications of coal mine users is growing exponentially. This puts forward higher requirements for the efficiency of business application development. The traditional development model of application systems in the coal industry relies excessively on professional manufacturers. It has problems, such as long implementation cycles, high implementation costs and low resource reuse rates. It is difficult to meet the management requirements of coal mine users for rapid development of business applications. To solve the above problems, a design scheme of intelligent mine low code industrial IoT platform using the 'model driven' development mode is proposed. Based on microservices technology, the platform architecture including the data acquisition layer, data processing layer, data storage layer, data release layer, human-computer interaction and application layer is designed. The operation platform at each level resolves the corresponding functions of the development platform configuration through a resolution engine. By designing data encoding and master data specifications, platform internal data interaction specifications, platform interfaces and services, a unified technical system has been established. The unified supervision of various IoT monitoring objects on coal mine operation sites is achieved. By developing a low code component toolbox, a series of common functions and business logic that originally needed to be customized and developed in various monitoring system software for coal mines are uniformly encapsulated. It forms directly reusable components that can adapt to different types of monitoring system applications in coal mines. This provides users with a visual development environment for intelligent mining application software development by dragging and dropping components and configuring parameters. The application results indicate that this platform can provide a rapid development platform for coal mine monitoring systems, meeting the daily needs of coal mine users for emergency customized task development.

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the development of the internet of things (IoT),5G and industrial technology,industrial IoT has become a new research field.Due to the specific requirements of delay,security and stability in industrial production,the traditional DNS has limitations to meet the needs of industrial IoT because of its single identity object,rigid resolution results,and weak security.In this context,how to provide efficient,flexible and secure resolution services for universal objects has become a hot area worldwide.Firstly,we discussed the design principles and key supporting technologies of the identity resolution system in industrial IoT.Then summarized and compared the existing identity resolution systems in detail.Next,the new identity resolution schemes in academic research were introduced.Finally,the core problems and the future research trend in this field were discussed.

Copyright of Journal on Communication / Tongxin Xuebao is the property of Journal on Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)