Port belt conveyor as the main bearing equipment of material conveying system, in order to ensure normal operation, it is necessary to invest a lot of manpower to carry out daily inspection work on the belt conveyor corridor, transfer station and other places. Tianchuang Robot adopts the autonomous mobile robot with integrated AI algorithm, and is equipped with the centralized control system platform to comprehensively build the whole process work system of intelligent inspection operation and maintenance of the material conveying system, information data collection, visual equipment status presentation, digital analysis and decision making. Greatly reduce the labor intensity of operation and maintenance personnel, release human resources, and improve work efficiency and safety index.
Inefficiency
The longitudinal length of the operation is large, the inspection efficiency is low, the fault occurs, and the response timeliness is poor
Bad Environment
During the operation of port material conveying pipe and belt machine, the noise is loud and the environment is bad, and manual inspection has high labor intensity and high safety risk
Great Intensity
The passage area is small, manual inspection has high labor intensity and high safety risk
Tianchuang robot port material conveying system inspection solution to achieve full coverage of pipe and belt machine, all-weather, unmanned inspection, through the belt crack identification, roller abnormal identification, conveyor noise diagnosis and other functions, greatly improve the safety of the conveying system and equipment reliability.
Edge cloud collaboration, unified management
Data collection is uploaded in real time to form a digital inspection ledger
Inspection data trend analysis, visual presentation
The inspection work has changed from regular on-site inspection to unmanned, all-weather inspection of equipment status
Create a safe environment and reduce operational risks
Belt deviation, tear monitoring
Rollers and other components heating monitoring
Early warning of personnel violations
Product support
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Application Scenario Case