Energy Nuclear Power
- Integrated Algorithm Server: The World's First Multi Algorithm Overlay Application Case in Nuclear Power Scenarios
- Rapid deployment: on-site deployment completed in 3 weeks, with zero interruption in the production process
- 40+exclusive algorithms for nuclear power: covering all scenarios of personnel behavior norms, equipment status, and environmental monitoring
The leading group in China's nuclear power industry (the world's third-largest nuclear power operator, operating 25 nuclear power units with an annual power generation of over 200 billion kilowatt hours) has launched an AI intelligent security system construction project in response to the National Energy Administration's "Smart Power Plant" strategy, led by its "Safety, Quality and Environment" research institute. The project aims to upgrade plant safety management through AI visual technology, create a benchmark case in the nuclear power industry, and promote it both inside and outside the group. The leading group in China's nuclear power industry (the world's third-largest nuclear power operator, operating 25 nuclear power units with an annual power generation of over 200 billion kilowatt hours) has launched an AI intelligent security system construction project in response to the National Energy Administration's "Smart Power Plant" strategy, led by its "Safety, Quality and Environment" research institute. The project aims to upgrade plant safety management through AI visual technology, create a benchmark case in the nuclear power industry, and promote it both inside and outside the group.
| Traditional Monitoring Pain Points | AI Intelligent Upgrade Solution | Actual Results |
|
There are many blind spots in manual inspection |
● Intelligent recognition of 5 types of high-risk violations (not wearing a safety helmet/not wearing work clothes, etc.) ● Automatically generate inspection reports and push work orders |
67% reduction in personnel compliance inspection time |
|
Passive monitoring |
● AI visual recognition+Hikvision monitoring platform+information management closed-loop ● Classification alarm triggers emergency process |
Abnormal response shortened to 3 minutes |
|
Equipment monitoring lags behind |
● AI 24-hour uninterrupted monitoring of equipment status ● AI vision+AIoT multimodal fusion analysis (vibration/temperature/current) |
The accuracy rate of equipment failure warning is 98% |
|
Serious data silos |
● Three dimensional digital twin safe cockpit ● Equipment Health Prediction Model (Historical Data+Real time Monitoring) |
Equipment operation and maintenance efficiency increased by 28% |
- Reuse 542 cameras to achieve full scene coverage
- L1 level (immediate disposal): Illegal intrusion into high-risk areas, fire and smoke warning
- Level 2 (30 minute disposal): Device offline; Alarm for not wearing work clothes or safety helmet
- L3 level (24-hour disposal): occupation of fire exits, etc
- AI initial judgment+manual review confirmation, with a false alarm rate of less than 0.3% for critical alarms
