With the rapid development of China's total highway mileage, the continuous expansion of the highway network, and the significant increase in vehicle flow, the maintenance and management of highways are facing unprecedented challenges. In order to cope with the increasingly prominent problems such as aging pavement, subgrade settlement, and road collapse, ensure driving safety, and improve the operation efficiency of the road network, China has put forward policies such as the "Outline for the Construction of a Transportation Power" and the "14th Five-Year Plan" for the Development of Highway Maintenance and Management, emphasizing the importance of strengthening the maintenance of transportation infrastructure, improving the level of monitoring and detection of infrastructure operation, maintenance specialization and informatization, and focusing on promoting the research and application of automated inspection technology based on artificial intelligence.
In this policy context, Guolang Technology focuses on the actual needs of the industry and has launched an intelligent road disease inspection system to realize intelligent inspection, digital maintenance and information management of roads. The system breaks through the high cost, long time, human error and safety problems existing in traditional road disease detection methods, and provides a fast, efficient, accurate and cost-effective solution for road maintenance.
Guolang Road Disease Intelligent Inspection System realizes integrated design and efficient deployment through on-board intelligent terminals. The terminal integrates high-definition industrial cameras, GPS, Beidou high-precision positioning modules, 4G 5G communication modules and intelligent AI computing units, so that maintenance vehicles can complete disease detection tasks while on the move. Through deep learning AI technology and image analysis technology, the system can analyze road information in real time, automatically identify and record disease data, and ensure the accuracy of location information through high-precision positioning.
After the data is collected, it will be uploaded to the road disease intelligent inspection cloud platform of Yiwei in real time, and the platform will conduct in-depth analysis and deduplication processing, which will significantly improve the accuracy of disease identification. It not only supports the detection of multiple disease types such as transverse and longitudinal cracks, potholes, cracks, and pavement garbage, but also continuously improves the identification ability and accuracy with the iteration of the algorithm.
The cloud platform presents an intuitive business core data dashboard through the data cockpit, realizes the real-time display of disease data and inspection data, and relies on high-precision maps to enable managers to grasp the status of highway maintenance in real time and intuitively, and promote the development of highway maintenance in the direction of real-time, digital, visualization and intelligence.