Automate maintenance and management of transportation infrastructure in 3 steps

It is predicted that the sustainable maintenance of transportation infrastructure such as roads, bridges, and tunnels that we use every day will become difficult in the future due to factors such as the decline in the productive workforce due to the declining birthrate and aging population, the expansion of aging infrastructure, the promotion of work style reforms, and soaring costs. Macnica provides smart transportation infrastructure maintenance methods to address this social issue. First, we will collect sensing data using autonomous mobility such as autonomous driving vehicles and robots. Then, from the obtained sensing data, AI automatically analyzes the state of the transportation infrastructure, and finally visualizes the results on the cloud system. Using Macnica 's data platform, Macnica Mobility Data Platform (Macnica Mobility Data Platform), we aim to make the most of sensors, AI, and digital technologies to achieve sustainable transportation infrastructure.

(1) Collection of sensing data by mobility

Sensors will be installed in autonomous mobility such as autonomous driving vehicles, robots, and drones, as well as in everyday automobiles, motorcycles, and bicycles. Also, since smartphones can be used, there is a degree of freedom to use smartphone sensors and install them in small mobility vehicles. Sensors are installed in mobility vehicles to sense the surrounding environment while driving and collect the data.

(2) Analysis of sensing data

AI automatically analyzes the camera images mounted on the vehicle and classifies road cracks. In addition to camera images, by combining other sensors such as vibration sensors and LiDAR, it is possible to improve accuracy and detect abnormalities in other ground structures.

When analyzing data using AI, Macnica 's AI specialized organization ARIH (AI Research & Innovation Hub) will help solve problems. We research, investigate, and implement the latest AI models to identify problems with objects.

(3) Visualization on the data platform

Integrate road analysis results and location information and visualize the results on the data platform of Re:Alize, an AI social implementation service. At this time, we will continue to evolve and upgrade the system, such as filtering and displaying abnormal road conditions and adding functions that suggest roads that should be repaired or repaired based on trends in abnormal locations. Visualize the priority of management so that you can understand it at a glance.

Inquiry

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