AI replaces labor? Road maintenance inspection market changes


Spark Global Limited Reports:

Roads are engineering structures with a certain service life. After the road is completed, affected by factors such as the environment and traffic load, the performance of the road surface and various facilities will be damaged to varying degrees. The deterioration of the road surface performance will increase the operating cost of the vehicle, including the fuel, tires and warranty materials. Expenses such as consumption and travel time.

Serious road damage may even affect the safety of driving. Therefore, for the urban road network and highway network that have been built, it is necessary to detect road damage in time, and implement regular and periodic maintenance and management of the road to ensure that the road network can reach the required level of service. This is also road management at all levels. One of the main responsibilities of the department.

01. Development of intelligent inspection

With the passage of time and the increase in the total number of facilities, the demand for road maintenance in my country has shown a rapid growth trend. Coupled with my country’s long-standing concept of “reconstruction and maintenance”, the road maintenance foundation is very weak and the maintenance tasks are arduous. A large number of early roads have entered the stage of reconstruction and expansion and large and medium maintenance, and the maintenance tasks have increased year by year.

In recent years, the proportion of road maintenance mileage to the total road mileage has been increasing; in 2016, the proportion of road maintenance mileage has reached 97.7%. According to statistics from the Ministry of Transport, in 2019, my country’s highway maintenance mileage was 4,953,100 kilometers, accounting for 98.8% of the total highway mileage. The road must be maintained basically, and the investment in highway maintenance every year is as high as tens of billions. The market is huge.

my country has entered an era of large-scale road maintenance and is faced with major maintenance tasks. Strengthening road management has become a top priority for the development of road infrastructure in my country, an important measure to promote the fine management of cities, and an important part of the development of road safety and people’s livelihood in my country. Assure.

Road inspection is the first priority for daily road maintenance, but the current road inspection methods are automated, informatized, and intelligent at a low level. Taking Shanghai as an example, the current Shanghai municipal road inspections are mainly manual inspections, using cars and battery cars as transportation tools, and using tablets, mobile phones, and log sheets as recording tools.

For the management and maintenance unit, the manual inspection method is low in efficiency and timeliness. At the same time, the safety of personnel during the inspection process is difficult to guarantee; for the industry supervision unit, the manual inspection method is mainly used. The subjectivity is too strong, and the effectiveness of the inspection, the authenticity of the inspection results, and the integrity are difficult to guarantee. The inspection results formed are unstructured data, which is difficult to use to promote the refined management of urban road facilities.

In addition, traditional pavement disease detection represented by traditional high-precision inspection vehicles relies on heavy-duty inspection equipment. Although it can detect pavement diseases more accurately, it can also form structured data that is effective for road maintenance, but the cost is high, and The inspection speed is slow, and it is difficult to meet the operation and maintenance of my country’s large-scale medium and low-grade roads. Most roads are rarely inspected or even inspected all the year round, missing the best maintenance period.

Figure 1 High-precision inspection vehicle

On the whole, there is a more prominent “contradiction between supply and demand” in the collection of road health data in my country. In daily inspections, intelligent and informatized means can not only reduce costs and improve efficiency, but also more accurately identify the road disease identification and traffic facility abnormal identification required by the owner, and can also form structured data. Thereby enhancing the value of inspection data; at the same time, considering that China’s large-scale urban road facilities are not inspected, the intelligent inspection of urban roads has a great market space.