Optimization of intelligent supply chain of metering materials based on data mining technology

Youchun Ye; Rui Song; Yi Sun; Wei Jin; Peng Chen

doi:10.1117/12.2659116

28 October 2022 Optimization of intelligent supply chain of metering materials based on data mining technology

Youchun Ye, Rui Song, Yi Sun, Wei Jin, Peng Chen

Proceedings Volume 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022); 124530G (2022) https://doi.org/10.1117/12.2659116
Event: Third International Conference on Computer Communication and Network Security (CCNS 2022), 2022, Hohhot, China

Abstract

Metering asset equipment is an important basis for building a smart grid, and is mainly used for power metering at power supply terminals. Due to the big difference between the inventory management requirements of metering asset equipment and other materials of power supply enterprises, for example, it needs to be stored in special storage areas, warehouses and storage spaces. Therefore, it is usually necessary to use a dedicated inventory business for management. The main purpose of this paper is to optimize the intelligent supply chain of metering materials based on data mining technology. This paper mainly analyzes the organizational performance of the smart supply chain and the differences in metering materials. During the 10 iterations of the experiment, the maximum and average response times of the system gradually increased with the number of concurrent users. 1.965s and 1.224s, the maximum response time of which did not exceed the preset 3s target value, so the performance test passed.

Citation Download Citation

Youchun Ye, Rui Song, Yi Sun, Wei Jin, and Peng Chen "Optimization of intelligent supply chain of metering materials based on data mining technology", Proc. SPIE 12453, Third International Conference on Computer Communication and Network Security (CCNS 2022), 124530G (28 October 2022); https://doi.org/10.1117/12.2659116

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