Solutions
Focusing on the Internet of Things in the fields of meteorology, hydrology, water quality, and environmental safety Solutions
Severe Weather Vehicle Application System Platform

The front-end adopts bootstrap, qurey, and back-end three-layer MVC mode to connect with the meteorological bureau's data collector for real-time synchronization with the server, including longitude, latitude, altitude, visibility remote sensing road friction coefficient, wind speed, direction, and rainfall data. The technology is developed using the ASP.net window service. It can achieve real-time wind speed and visibility combined with GPS signal display to distinguish the impact of high-speed heavy fog on analysis, accumulate raw data, historical data historical curves, report output, historical queries, and equipment fault reminders. Log management and release of meteorological information.

Core: GPS signal conversion to Baidu BD09 coordinate system, algorithm to remove GPS drift points, shallow use of navigation road adhesion technology principle; To improve the management level of the highway for the Traffic Police Brigade Expressway Management Bureau, first-hand information has been provided to detect foggy and dense fog on the road section. The linked mobile tablet app detection can achieve real-time viewing of meteorological information such as fog visibility in the vehicle, and provide fog alarms and information retrieval with the management app, effectively notifying the management of the fog situation on the highway section.

Purpose: To improve the level of highway management by the Highway Management Bureau

Role: Heavy fog, rainstorm, nighttime, early morning and other environmental factors deal with the danger of truck drivers, car drivers and high-speed driving to ensure the safety of people's lives and property.

Linkage: The Internet of Things can be applied, and things in the car can be controlled through the public network, and then big brand LED lights on the highway can be controlled through the traffic police internal network