Digital twin-driven new energy power station inspection method

The digital twin-driven inspection method for new energy power plants utilizes a combination of sensors, cameras, and robots to construct a 3D model and perform real-time fault diagnosis, solving the problem of low inspection efficiency in traditional photovoltaic power plants and achieving efficient and automated power plant management and fault detection.

CN122293028APending Publication Date: 2026-06-26CTG JIANGSU ENERGY INVESTMENT CO LTD
0 Cites 0 Cited by

Patent Information

Application Number
CN202610452536.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-08
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Traditional methods for safety inspection of photovoltaic power plant equipment are inefficient and outdated, failing to detect and address faults in a timely manner. Existing image processing and deep learning algorithms are costly and lack real-time performance, thus failing to meet the high-efficiency operation requirements of modern photovoltaic power plants.

Method used

A digital twin-driven inspection method for new energy power plants is adopted. By installing sensors, optimizing camera deployment, and combining laser scanning with cameras to construct a 3D model, and combining rule-based reasoning and machine learning for fault diagnosis, LoRa communication and intelligent inspection robots are used for real-time data collection and analysis to achieve automated inspection.

Benefits of technology

It enables rapid and accurate power plant inspections, timely detection of equipment failures, reduction of operating costs, improvement of power plant safety and management efficiency, and reduction of manual inspection workload.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a digital twin-driven new energy power station inspection method, which comprises the following steps of selecting and installing various types of sensors for key positions of key equipment in a power station; aiming at different positions in the power station, utilizing algorithm planning based on coverage and resolution optimization, and selecting camera distribution positions suitable for coverage; laser scanning and camera shooting are combined to complete a digital twin power station presentation model; an intelligent data display interface is formed based on rule reasoning and machine learning, fault prediction, diagnosis and alarm mechanisms are included, and then a digital twin system is built; based on a proper communication technology, information collected by the sensor and the camera is uploaded to a digital twin system; and acquiring power station data by using an inspection robot and a camera to complete power station inspection. On the premise of not increasing the cost budget, the requirements of real-time performance and accuracy can be met at the same time, and a powerful guarantee is provided for safe and stable operation of the new energy power station.
Need to check novelty before this filing date? Find Prior Art