Discussion on human factor control of sensor manufacturing process in computer information acquisition system based on total process management

Yangyang Chen; Jing Guo; Yuan Yao; Jingyuan Yang; Zhijia Yang

doi:10.1117/12.2626807

14 February 2022 Discussion on human factor control of sensor manufacturing process in computer information acquisition system based on total process management

Yangyang Chen, Jing Guo, Yuan Yao, Jingyuan Yang, Zhijia Yang

Author Affiliations +

Proceedings Volume 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021); 121611P (2022) https://doi.org/10.1117/12.2626807
Event: 4th International Conference on Informatics Engineering and Information Science, 2021, Tianjin, China

Abstract

The special requirements of computer information processing system for safety and availability determine the importance of terminal sensor quality management in information acquisition system in the process of engineering construction. Industrial process instruments and equipment have the characteristics of large quantity, many types, low price, most suppliers are agents, simple process, short manufacturing cycle and few nonconformities. How to ensure the quality of purchased instruments has become the primary task of instrument procurement in the whole process. Therefore, purchasing personnel must strictly abide by quality management standards and use effective quality management methods to ensure the high quality, efficiency and safety of purchased items. This paper adopts the quality control method of Total Quality Management to explore the quality management of process instrument procurement and take a nuclear power plant for an example.

Citation Download Citation

Yangyang Chen, Jing Guo, Yuan Yao, Jingyuan Yang, and Zhijia Yang "Discussion on human factor control of sensor manufacturing process in computer information acquisition system based on total process management", Proc. SPIE 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021), 121611P (14 February 2022); https://doi.org/10.1117/12.2626807

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KEYWORDS

Manufacturing

Computing systems

Safety

Control systems

Inspection

Sensors

Signal processing

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