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Method for Intelligent Judgment on the Resumption of Work and Production

Authors :
Zongpeng Li
Jiakui Zhao
Jian Liu
Guo Min
Xuemin Fang
Wang Honggang
Kai Wan
Longliu Hua
Yuliang Zhao
Lei Li
Liu Shi
Source :
2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

The resumption of work and production helps to avoid the short-term suspension of economic development caused by COVID-19 virus epidemic from becoming long-term economic depression. However, during the COVID-19 virus epidemic, the resumption of work may cause infection. Facing the uncertainty of external environment, the pressure of capital turnover and lead time of orders, the resumption of work and production is a severe problem. To judge the schedule of resumption, we analyze the electricity usage of enterprises in Shaoxing, select 200 enterprises in 4 industries, including heavy industries, general industry and commerce, agricultural production industries, agricultural irrigation and drainage industries. Using the electricity usage before and after the epidemic, we use STL decomposition and Mann Kendall trend test to intelligently judge the situation of resumption. At the same time, combined with the date of suspension and resumption of work, we determine the resumption threshold of enterprises and plot the resumption rate of industries. From the threshold and the plots, we can analyze the schedule of resumption one month before and after the Spring Festival to support the effect of epidemic on different industries.

Details

Database :
OpenAIRE
Journal :
2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI)
Accession number :
edsair.doi...........0dee3fcd077449f5a2213d2c99f8ff94
Full Text :
https://doi.org/10.1109/iicspi51290.2020.9332378