Internet-based FSAC unmanned racing car data acquisition and monitoring system

Abstract

The invention relates to the technical field of racing car data acquisition and monitoring systems, and discloses an Internet-based FSAC racing car data acquisition and monitoring system, which comprises a sensor, a BMS battery management system, an ECU vehicle control unit, an STM32 single chip microcomputer, a vehicle-mounted serial port screen, a PC end virtual communication serial port, a cloud server, a DTU Internet of Things module and a LabVIEW program reading communication serial port; according to the FSAC unmanned racing car data collecting and monitoring system based on the Internet, signals sent by sensors distributed all over a car body are collected through the ECU, state information of a car is sent to the STM32 single-chip microcomputer through the CAN bus after analysis and processing, and meanwhile, the STM32 single-chip microcomputer sends the state information of the car to the STM32 single-chip microcomputer through the CAN bus. Meanwhile, the state information of the vehicle is further sent to a cloud server through a DTU Internet of Things module capable of sending and receiving 4G signals. The USR-VCOM is used on a computer to generate a PC end virtual communication serial port, and a corresponding LabView program reading communication serial port is connected into the PC end virtual communication serial port to read data on the cloud server so as to achieve whole vehicle information collection and vehicle state real-time monitoring.

Description

technical field [0001] The invention relates to the technical field of data collection and monitoring systems for unmanned racing cars, in particular to an Internet-based FSAC data collection and monitoring system for unmanned racing cars. Background technique [0002] The Formula SAE competition was launched by the American Society of Vehicle Engineers in 1979. The competition cars must be conceived, designed, manufactured and maintained by the student team members themselves. However, there are some problems in the data detection of the college student unmanned formula competition cars. The main problems are as follows : [0003] Traditional manual inspection is time-consuming and laborious, and the types of data obtained are limited, and the accuracy cannot meet the needs of the race. The most important thing is that it is impossible to monitor the real-time and effective status of the running car, so it is impossible to predict possible faults during the race in advance....

AI Technical Summary

Problems solved by technology

[0003] Traditional manual inspection is time-consuming and laborious, and the types of data obtained are limited, and the accuracy cannot meet the needs of the race. The most important thing is that it is impossible to monitor the real-time and effective status of the running car, so it is impossible to predict possible faults during the race in advance. , thus not only failing to achieve better competition results, but also making the life safety of the participants unable to be guaranteed, and there is a certain danger

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