Anti-collision alarm based on vehicle-mounted internet-of-things

Abstract

The invention relates to an anti-collision alarm based on vehicle-mounted internet-of-things. A vehicle-mounted 12V power supply is used for supplying power for the anti-collision alarm in a voltage reducing and stabilizing manner through a vehicle-mounted USB (universal serial bus), an STM32F103 processor module is in interaction with a nanoPAN5275 wireless ranging module through an SPI (serial peripheral interface) so as to acquire wireless distance values which are then displayed through an LCD (liquid crystal display) nixie tube display module. The maximum value displayed on the two-digit nixie tube is 99 meters; if the distance is smaller than a certain threshold value, then the STM32F103 processor module controls a buzzer alarm module to send an alarm, and meanwhile the two-digit nixie tube is in fast blink. The anti-collision alarm based on the vehicle-mounted internet-of-things has the advantages of large ranging, high ranging precision, high ranging speed, capability of measuring multiple wireless distances between the vehicle and multiple adjacent vehicles and the like, and is applicable to sending anti-collision safety alarm for vehicles running in highway at high speed.

Description

technical field [0001] The invention belongs to the technical field of wireless ranging and positioning, and in particular relates to an anti-collision early warning device for vehicle anti-collision based on wireless ranging and networking. Background technique [0002] With the rapid development of modern society and the continuous innovation of automotive electronic technology, automobiles have become an important means of transportation in modern society. At present, there are about 1 billion automobiles in the world. According to recent forecasts by overseas authoritative organizations, global car ownership will continue to grow by 20% in the next five years, with the main growth potential coming from developing countries. However, the rapid development of the automobile industry has also brought many negative impacts, among which people's livelihood is most concerned about traffic accidents. With the continuous improvement of high-speed road conditions, vehicles are o...

AI Technical Summary

Problems solved by technology

However, the automobile anti-collision system is extremely complex. In the face of complex environments such as dynamics and multiple targets, it is necessary to judge the distance between vehicles in real time, quickly and with high resolution.

At present, three methods are generally used to achieve vehicle collision avoidance: 1) Using radar ranging method, this method is direct, fast and accurate, but for the distance between two moving targets, ranging is very difficult, so it is generally used It is used to measure the distance from a fixed target to a moving target; 2) Use a camera to capture an image, and then judge the distance through the image, but the image processing has a large amount of calculation, and the real-time performance is difficult to guarantee, especially for high-speed vehicles; 3) Use the vehicle-mounted GPS to judge the distance This method needs to upload the location information to the server, but the wireless data upload is unstable and has a long delay, so it is impossible to achieve fast ranging between high-speed targets

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