The robot network adopts 5G network technology, which can realize the transmission of real-time detection content, check that the entire line has no signal dead zone, and has high transmission bandwidth and low delay. The robot inspection scheme adopts charging robot, which can run continuously for 6-8 hours on a single charge, basically guaranteeing the completion of subway line inspection. The robot is equipped with a 3D visual cognition system, which ensures that the robot can see, understand and perform independent high-precision work.

The subway is an important public transportation, carrying thousands of people every day to ensure the safe operation of trains, that is, to ensure the safety of passengers.

Metro line inspection is a very important job in daily life. Inspectors conduct on-site inspections of the subway. Every inch of rail and every screw is related to the safety of the subway; at present, domestic subways are basically checked regularly by manual equipment. Each line requires 10 to 20 track maintenance personnel to enter the tunnel in the early morning for walking maintenance, and can only detect 5 kilometers of track lines per hour. There are many disadvantages such as low operating efficiency, hidden dangers to personal safety, no objective standards, no detailed records of raw data, and inevitable missed inspections during night operations.

Currently, domestic subway line inspections can only be done with a lot of manpower. Manual inspection is difficult, time-consuming, low-efficiency, and occupies a long line cycle, which is very dependent on the work experience of the inspectors.

Subway automatic patrol robots can replace manual track patrols. Through AGV vehicles equipped with cooperative robotic arms, the functions of movement and detection within the track are realized, various routine detection tasks are performed, and the labor intensity of personnel is reduced. The robot network adopts 5G network technology, which can realize the transmission of real-time detection content, check that the entire line has no signal dead zone, and has high transmission bandwidth and low delay.

The robot inspection scheme adopts charging robot, which can run continuously for 6-8 hours on a single charge, basically guaranteeing the completion of subway line inspection. The AD5627BRMZ robot is equipped with a 3D visual cognition system, which ensures that the robot can see, understand and perform independent high-precision work.

At present, the automatic inspection robot can accurately detect more than ten standards of the three major systems: rail line bed, fasteners and common inspection of rails. Whether fasteners are missing, broken, floating, rail cracks, track bed water, foreign objects, etc., they can be found in time and reported through the 5G network.

The 5g network adopts 5g industrial gateway equipment, and the hardware adopts industrial-grade vehicle-mounted standard design to meet the application environment of unmanned vehicles under closed conditions. The uplink adopts 5g network to support network data transmission such as mobile, China Unicom, and telecommunications. At the same time, it also supports specific network communication requirements to meet users' requirements for high real-time, low-latency data transmission.

To ensure data security, 5G devices use built-in CA encryption and authentication algorithms, compatible with various communication/control protocols, and custom protocol development, tailored for users to meet user needs.

MWG-3500 industrial 5G router supports three Netcom NSA and SA networking, compatible with N41/N78/N79 and other frequency bands, theoretical downlink is greater than 2Gbps, uplink is greater than 200Mbps, low latency, and can support multi-channel high-definition video stable playback.

5G machine inspection robot system features:

1. Use 5G network with large bandwidth and low transmission delay;

2. Use 5G network slicing to ensure transmission security;

3. All-weather intelligent real-time inspection, low cost;

4. Artificial intelligence expert system fault diagnosis, stable quality;

5. Big data tunnel disease trend prediction, high operating efficiency;

6. It integrates detection, monitoring and early warning for easy management.