Design and Application of Logistics Vehicle Safety Control System Based on Fuzzy-Pid
Starting from the actual needs of logistics enterprises,a logistics vehicles safety control system platform was established.MATLAB software was used to simulate and analyze the core mechanism algo-rithm of the platform,and combined with specific logistics enterprises for application analysis.The re-search shows that the temperature monitoring parts of the logistics vehicles safety control system cover a wide range,and compared with wired vehicle temperature monitoring devices,wireless monitoring devices are easier to install and have lower costs.In terms of core mechanism algorithms,compared to the PID model,Fuzzy-Pid has a faster rise time,higher responsiveness,smaller overshoot,and stronger adaptabil-ity.In practical applications of logistics enterprises,the frequency of over-temperature warnings for logis-tics vehicle hubs is relatively high,and the temperatures of engines and transmissions are relatively stable,indicating the possibility of brake failure and tire blowouts.Therefore,logistics vehicles need to be stopped for safety inspections.
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