laitimes

+3 for one win!

author:Daya Bay Nuclear Power
+3 for one win!

Recently, in the artificial intelligence competition of China General Nuclear Power Group, the "Intelligent Nuclear Vision" of Daya Bay Nuclear Power Technology and Information Management Department won the third prize of achievement type, the "R&D and application of equipment condition monitoring and early warning technology based on advanced pattern recognition technology" of the Equipment Management Department won the Achievement Excellent Work Award, and the "Intelligent Monitoring and Intelligent Decision-making of Fault Accidents" of the Training Department won the Potential Excellent Work Award.

The CGN Artificial Intelligence Competition is divided into two tracks: achievement and potential. Each member company of the Group has declared a total of 54 achievement works and 110 potential works, and 20 finalist achievement and potential works have been shortlisted.

"Intelligent Core Vision": AI empowers digital transformation

The project

Take advantage of artificial intelligence technology

Promote the nuclear power management business in Daya Bay

Gradually transform to automation and unmanned

Reduced power generation costs

Reduce the probability of equipment failure

Improve the efficiency of the company's operations

+3 for one win!

Project application overrides

Equipment detection and security protection

Personnel behavior, park management

Four major business categories

More than 50 typical business scenarios have been established

Pioneering creation

More than 20 exploratory development scenarios for AI algorithms

Apply an integrated video surveillance management platform

Video image intelligent analysis and recognition platform

AI algorithm training platform: three major technology platforms

The unified operation of base video data has been realized

In terms of equipment management, on-site work control, etc

play an important role

R&D and Application of Equipment Condition Monitoring and Early Warning Technology Based on Advanced Pattern Recognition Technology: Make monitoring more scientific and accurate

The project consists of:

Daya Bay Nuclear Power is jointly developed with Suzhou Thermal Engineering Research Institute

Solved the traditional monitoring mode

Failure prevention is not possible

The effectiveness of monitoring is overly dependent on the input of personnel themselves

and knowledge and skills

Make equipment condition monitoring more scientific and accurate

Help the unit to operate safely

The project has been established

Intelligent monitoring of important equipment of 6 units

There are more than 1,000 models

1 month after the model goes live

False positive rate less than 10%

+3 for one win!

"Intelligent Monitoring and Intelligent Decision-making of Fault Accidents": Digital Guarantee of Safe Production

The main features of the project

It is an auxiliary master controller

Parameters for complex and diverse nuclear power plant units

Carry out rapid diagnosis and analysis, fault identification and positioning

+3 for one win!

Intelligent monitoring and intelligent decision-making system

It replaces the traditional human-machine response mode

Dramatically reduce dependence on people

Equipment abnormalities can be detected in time

Accurately locate faults and give a course of action

Thus reducing human errors

Ensure timely intervention of abnormalities

With digital means

Ensure the safe and stable operation of the unit

+3 for one win!

Project members in the finals

Outstanding performance in the defense link, display and other links

After fierce competition

The 3 projects stood out

Congratulate!

Daya Bay Nuclear Power will continue to promote digital construction

Through digital transformation

Improve the efficiency of the power station

Reduce management costs

Contribute to the improvement of nuclear safety and quality

Strive to create a new situation in the construction of digital nuclear power

+3 for one win!

Editor丨Ni Li

Contributed by丨Zhang Fan, Department of Science and Technology Information and Management

Proofreading | Xuan Wei

The copyright belongs to the original author, please indicate the source for reprinting!