Open AccessDesign of Energy Refinement Management System for Agricultural Machinery Painting Based on Internet of Things
Author(s) -
Guangfu Ma,
Guiqing Zhang,
Qingfeng Li,
Chenlu Tian,
Peiyi Wang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1314/1/012164
Subject(s) - energy management , energy consumption , production (economics) , production line , computer science , the internet , energy management system , consumption (sociology) , management system , energy (signal processing) , manufacturing engineering , environmental economics , operations management , engineering , world wide web , electrical engineering , mechanical engineering , statistics , mathematics , sociology , economics , macroeconomics , social science
At present, because of extensive energy management methods and manual meter reading collection methods, the domestic agricultural machinery manufacturing industry has caused serious energy waste in agricultural machinery production line, which can not meet the energy management needs of modern agricultural machinery enterprises. In view of the above problems, after thorough analysis of agricultural machinery production process and its demand for energy management, this paper takes full advantage of the characteristics of low cost and comprehensive perception of the Internet of Things, puts forward an energy refinement management system of painting workshop based on the Internet of Things, and achieves energy consumption tracking of production workpieces and energy refinement management of workshop. BP neural network is used to predict energy consumption and diagnose energy saving in workshop. Finally, the test application in the demonstration project shows that the system can real-time and accurate monitor the abnormal situation of energy consumption and energy consumption in the workshop, and realize the fine management of energy in the agricultural machinery painting production line, thus saving production energy and improving enterprise efficiency.