A Digital Twin-based Method for Identifying Weak Points in Integrated Energy Smart Systems

The setting of weak point identification nodes in integrated energy intelligent systems is usually based on basic layout, with a low identification frequency, resulting in an increase in the false identification rate of the final weak point. Therefore, a weak point identification method for comprehensive energy smart systems based on digital twins is established. Adopting a multistage approach to increase recognition frequency, deploying multistage recognition nodes, setting weak point recognition constraints, constructing a weak point recognition model for the digital twin integrated energy intelligent system, and using a secondary verification calibration method to identify weak points in the integrated energy intelligent system. The test results show that the final weak point misidentification rate obtained is relatively low, indicating that the weak point identification method of the integrated energy intelligent system is more flexible and versatile, with strong stability and security, and the overall identification efficiency is further improved.