Page 510 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

2 Use Case Description

2�1 Description

In industrial fields such as power and chemical industries, equipment inspection is a crucial
part of ensuring production safety and stable operation. Traditional manual inspection relies
on the experience and subjective judgment of inspectors, which is not only inefficient but also
poses great safety hazards in high - risk environments (such as high - voltage power facilities and
toxic gas environments). Moreover, manual inspection is difficult to achieve high - frequency
and full - coverage, and it is easy to overlook potential equipment failures.

This use case aims to develop an intelligent inspection robot based on embodied intelligence
to realize the intelligent, automated, and efficient inspection of industrial equipment. The robot
can autonomously complete tasks such as equipment appearance inspection, temperature
monitoring, gas leak detection, and vibration analysis in complex and high - risk industrial
environments, collect multi - dimensional data in real - time, and through intelligent analysis,
promptly detect equipment abnormalities, provide early warnings of failures, and reduce
equipment failure rates and downtime.

The project integrates multimodal sensors to build the robot's perception system, enabling
it to comprehensively obtain equipment status information. Deep learning algorithms are
used to analyze the collected data to accurately identify equipment abnormalities. Combined
with reinforcement learning, the robot can autonomously plan the optimal inspection path
according to environmental changes and respond to emergencies when encountering
unexpected situations.

It is expected that this solution can increase the equipment inspection efficiency by more
than 50%, reduce manual inspection costs by 60%, and decrease the probability of sudden
equipment failures by 40%, effectively guaranteeing the safety and stability of industrial
production and improving the enterprise's operation and management level.

Use Case Status: Pilot stage

Partners

Industrial equipment manufacturing enterprises: Provide equipment operation data and
technical support, and assist in the adaptation between the robot and the equipment.

University robot laboratories: Provide technical guidance in the research and development
of embodied intelligence algorithms and model optimization, and jointly carry out scientific
research cooperation.

2�2 Benefits of the use case

Promote the innovation of industrial inspection technology and facilitate the application of
intelligent infrastructure in the industrial field.

Through predictive maintenance, reduce resource waste caused by equipment failures,
improve production efficiency, and promote sustainable production.

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