Open AccessOn line monitoring method of forklift truck working condition based on multi sensor
Author(s) -
Zhiqiang Zhang,
Jinjin Tian,
Ping Zhan
Publication year - 2020
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 - 10.1088/1742-6596/1635/1/012041
Subject(s) - truck , automotive engineering , modular programming , condition monitoring , computer science , engineering , realization (probability) , real time computing , mathematics , statistics , electrical engineering , programming language
Aiming at the problems of poor timeliness and poor monitoring accuracy of domestic forklift working condition monitoring, a multi-sensor online monitoring method for forklift condition is proposed. Analyze the relevant factors that affect the status of the forklift truck, optimize the structure of the forklift truck condition monitoring platform, design the main control algorithm for forklift truck condition monitoring, and obtain the loading status and monitoring parameters of the forklift in the warehouse in real time. Status online monitoring. In order to verify the monitoring performance of this method, a comparative experiment is designed. The results show that the method in this paper can effectively shorten the monitoring delay and improve the detection accuracy, which is of great significance for the realization of network, intelligence and modularization of electric forklifts.