Internet of Things monitoring and early warning system for highway traffic safety meteorology

Abstract

The invention discloses an expressway traffic safety weather Internet of Things monitoring and early warning system, and the system comprises a front-end distributed integrated multi-element weather monitoring node and a rear-end cloud platform which establish network communication with each other; the front-end distributed integrated multi-factor meteorological monitoring node is in communicationconnection with a sensing module, a network transmission module, a video monitoring module and a power supply module. The sensing module collects original meteorological data and uploads the originalmeteorological data to the network transmission module, and the network transmission module carries out data preprocessing and then sends the data to the back-end cloud platform. The rear-end cloud platform comprises a monitoring data receiving / processing module, a database, a monitoring system configuration and management module, a data visualization module, an early warning and forecasting module, a multi-user configuration and authority management module, a GIS module and a video monitoring module. The rear-end cloud platform realizes interactive management of the monitoring and early warning system and users through network communication, can realize multi-department and multi-party timely decision and timely response, and reduces traffic accidents caused by highway meteorological problems.

Description

technical field [0001] The invention relates to the technical field of monitoring and early warning systems, in particular to a monitoring and early warning system for expressway traffic safety meteorological Internet of Things. Background technique [0002] With the rapid development of highway construction in our country, the problem of highway traffic safety under the influence of bad weather has become increasingly prominent. The "Report on Traffic Safety Production Accidents (2019)" pointed out that the impact of extreme weather on traffic safety cannot be ignored. Expressway traffic safety is closely related to meteorological conditions, among which strong wind, heavy fog, and rainfall are the main meteorological factors affecting highway driving safety. It is very necessary to establish a stable and reliable real-time monitoring and early warning system for expressway traffic meteorological information. Judging from the actual use of my country's current expressway ...

AI Technical Summary

Problems solved by technology

Judging from the actual use of my country's current expressway meteorological monitoring and early warning system, the main problems are as follows: 1) There are too many qualitative monitoring and insufficient quantitative detection

2) Limited by the traditional network architecture technology, the density of weather monitoring stations is too low

3) The monitoring mode is single, the information is scattered, and the system is not practical

4) Insufficient capabilities in analysis of monitoring results and information sharing, single means of information release, and delayed communication of decision-making

5) The current monitoring system lacks comprehensive analysis and comprehensive judgment on the monitoring data of multiple meteorological elements

6) Most of the sensors used in the monitoring system contain mechanical structures, which have low reliability in long-term operation and are prone to defects such as large error in measurement values ​​and heavy maintenance workload due to mechanical failures

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