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In order to make up for the lack of mobility of the robot and reduce the probability of causeless motion collision, a real-time obstacle avoidance and route control algorithm for the robot based on block chain was proposed. The ultrasonic signal processing circuit is used to extract the detection movement nodes that can be directly applied, and the completed MoveIt obstacle avoidance program is combined to realize the real-time obstacle avoidance movement planning of the detection robot. On this basis, LQR controller is set to establish the necessary motion control equation while controlling the detection speed of the robot, so as to complete the control of the detection robot's motion route and improve the travel flexibility related to the moving equipment components. To improve the P2P network platform, all the investigation information is packaged into the same block organization for interactive motion data as a processing support condition, and the obstacle avoidance control principle based on block chain is studied, so as to realize the real-time obstacle avoidance and route control algorithm construction of the detection robot. The experimental results show that, after the application of the block chain-based control algorithm, the extreme value of c-space parameter exceeds 8.0, and the RRT sensitivity also increases to 75%, realizing the flexible travel control of the detection robot and effectively inhibiting the occurrence of gratuitless motion collision events.