Journal Article

Automatic monitoring and early warning method for power grid infrastructure investment progress using building information model and blockchain

Lu, Jing, Wu, Shihong, Yu, Weidong

2024

Overview

In order to improve the precise control level of power grid infrastructure investment, this paper proposes a monitoring and early warning method of power grid infrastructure investment progress based on building information model and blockchain. By capturing the project construction progress images, the features of the power grid infrastructure are extracted automatically. Combined with the technical characteristics of distributed, tamper‐proof, and traceable blockchain, statistical indicators are generated automatically, monitoring and early warning of the investment progress execution deviation are triggered by the rules running on the smart contracts. The case study results show that the mean absolute error of the target image recognition method based on the image features is 4.32%, and the prediction accuracy of the incoming line is better than that of the engineering civil and substation. The early warning model of investment statistics based on smart contracts can automatically monitor the investment progress and generate early warnings, which provides a basis for the dynamic adjustment of the investment plan, and effectively improves the refined management level of power grid infrastructure investment projects. This paper proposes a monitoring and early warning method of power grid infrastructure investment progress based on building information model and blockchain. The results show that the mean absolute error of the target image recognition method based on the image features is 4.32%, and the prediction accuracy of the incoming line is better than that of the engineering civil and substation.

• Publisher: Wiley
• Subject: blockchain applications and digital technology / data analysis / governance / intelligent cities / planning and policy / smart cites / socio‐economic effects