Design and Implementation of monitoring and Management System for Discrete Manufacturing Process Based on IOT Technology

Abstract

Abstract-For active perception of multi-source information, coupling of heterogeneous information, and effective integration of manufacturing information and knowledge layer, this paper proposed some key technologies and a new implementation framework. The RFID and other sensing technologies were used to acquire the multi-source heterogeneous information. It developed a monitoring and management system for discrete manufacturing process, based on the Internet of Things. The main function modules of the system were characterized. It has been realized active sensing and dynamic optimization of manufacturing process information, and put forward a new mode and way for quantitative analysis and tracking decision optimization of multi-source heterogeneous information. IOT, as the key theory and technology of information technology industry, has been effectively applied in many fields, such as logistics [12] and industrial automation [13]. Nevertheless, there are some exceptions in real-time monitoring of production process. In recent years, the research of some typical discrete manufacturing enterprises shows that, in the process of implementation, the demand and challenges of traditional MES concentrate on such aspects: Keywords(1) The real-time and accuracy of multi-source heterogeneous information collection With the expanding industrial production and personalized market demand, information are massive and multi-source heterogeneous in discrete manufacturing process. Lack of effectively real-time automatic acquisition and active perception, multi-source heterogeneous information cannot be obtained timely, and integration of data and knowledge layer is not good in manufacturing information system [14][15].(2) The relevance and effectiveness of perceptual informationThe physical space and information space is strongly associated, non deterministic and highly mixed [16]. It brings a great challenge to the discrete manufacturing monitoring common modeling, unified description and system design. It urgent needs a comprehensive analysis and description for the coupling and correlation mechanism of information space and physical space [17].(3) The real-time dynamic management of manufacturing process information and resourcesThe production model has changed from mass to "just in time" (JIT) , materials tracking and production monitoring are required more timely, flexible and complicated. Due to a lack of production planning and timely feedback of manufacturing process information, it is difficult to conduct effective control and scheduling to the manufacturing process, and real-time monitoring and dynamic optimization of production resources, tasks and quality.In view of the present situation of backward multi-source heterogeneous information collection method and poor in real time of data, integrating IOT technology, it proposed an open, hierarchical and scalable network framework of monitoring and management system for discrete manufacturing process. The application of IOT technology in discrete manufacturing process, ...

Intelligent Monitoring System for Real-Time Optimization of Ultra-Precision Manufacturing Processes

“…Additionally, the literature underscores the importance of affordable artificial intelligenceassisted machine supervision systems for small and medium-sized manufacturers to reduce labor costs and enhance energy efficiency in smart manufacturing . Real-time monitoring of manufacturing processes using a single sensor is acknowledged as a significant challenge (Kannatey-Asibu et al, 2017), alongside the necessity for effective control, scheduling, and real-time monitoring in discrete manufacturing processes (Lu & Sheng, 2015). Moreover, the development of performance evaluation tools utilizing real-time supply information is deemed crucial for intelligent manufacturing systems (Allon & Mieghem, 2010).…”