This case study demonstrates the "testing equipment procurement + system platform + continuous technical service" cooperation model offered by Anhui Tongtu Information Technology Co., Ltd. to third-party testing companies.

The cooperation includes delivering vehicle-mounted testing equipment and supporting software to testing companies, providing equipment installation and commissioning, personnel training, technical consultation, data processing and report template support, and remote/on-site quality control services. This cooperation model enables testing companies to quickly develop testing capabilities, conduct business according to localized needs, and ensure that the quality and standards of testing results are consistent with mainstream outputs.

Since 2022, the company has been providing automated testing and assessment services for the technical condition of rural road surfaces to numerous county-level road administration and maintenance units. The company's independently developed lightweight testing equipment has passed national metrological certification, and its testing accuracy meets the technical parameter requirements of the Ministry of Transport's standards.

By utilizing vehicle-mounted inspection equipment, image and sensor data fusion, automated defect identification and grading algorithms, and an integrated data management platform, a closed-loop workflow covering data collection, analysis, assessment, and reporting has been established. Compared to the cumbersome procedures of traditional segment-by-segment inspection, such as route finding, location determination, data recording, and dedicated personnel operation, the non-stop continuous field inspection mode significantly improves inspection efficiency. The average daily inspection mileage per vehicle can reach 100 kilometers, and the inspection path can be viewed in the background.

With the widespread application of digital and intelligent technologies in urban management, public facility maintenance, and safe operation, traditional manual inspection methods are gradually being upgraded and transformed into intelligent inspection systems. Intelligent inspection, through core technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), mobile communication, and data analytics, enables real-time monitoring, intelligent identification, and risk warning of facility operation status, improving inspection efficiency, accuracy, and safety. It is a crucial tool for promoting the digitalization of urban infrastructure.

This project addresses the actual needs of intelligent road inspection in Ma'anshan City, providing a comprehensive, integrated intelligent road inspection solution for diverse road scenarios, including national and provincial highways and rural roads. By deploying intelligent inspection equipment on various everyday vehicles such as three-wheeled inspection vehicles, buses, and road administration vehicles, the project integrates inspection capabilities into existing city and county-level platform systems, constructing a normalized, three-dimensional road inspection network. This achieves automated inspection processes, real-time data collection, and visualized management results, comprehensively improving road inspection efficiency and the level of refined management.