Method for calibrating time of red light running automatic recording system based on Internet of Things

Abstract

The invention provides a method for calibrating the time of a red light running automatic recording system based on the Internet of Things, and the method comprises the steps that the data of the red light running automatic recording system, a standard clock and a camera are obtained through an Internet of Things terminal, first data is generated, and the first data is transmitted to a cloud platform; the cloud platform performs extraction according to the received data to obtain red light running time data and intersection information; the cloud platform judges whether the current traffic light state is effective or not according to the red light running time data and the intersection information, and if so, the time error is calculated; and the cloud platform generates a verification report according to the time error, and calibrates the time of the red light running automatic recording system according to the verification report, so that field calibration is realized, and the safety and the accuracy are high.

Description

technical field [0001] The invention relates to the technical field of calibration, in particular to a calibration method for automatically recording system time for running a red light based on the Internet of Things. Background technique [0002] The on-site system time calibration method of the red light automatic recording system is based on GA / T496-2014 "General Technical Specifications for the Red Light Automatic Recording System": the red light automatic recording system works continuously for 24 hours, compares the system timing with the standard timing, and calculates the error. The automatic recording system for running a red light is installed outdoors. During the on-site calibration, the standard clock is required to be on site continuously for 24 hours. It is difficult to carry out on-site calibration. The specific disadvantages are as follows: [0003] (1) On-site calibration requires the traffic police department to close the detection area; [0004] (2) Low ...

AI Technical Summary

Problems solved by technology

[0003] (1) On-site calibration requires the traffic police department to close the detection area;

[0004] (2) Low work efficiency and waste of social resources;

[0005] (3) In the calibration area at night, it is easy to cause traffic accidents and cause casualties of on-site calibration personnel;

[0006] (4) The continuous 24h environmental conditions on site cannot meet the requirements of the standard clock environment

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