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As the cornerstone of economic development, power infrastructure business is of great significance for improving the quality of economic development. Compared with the traditional power infrastructure, the new power infrastructure is more technical and professional, and more intelligent. Taking the application of abnormal object detection in edge computing in line infrastructure construction site as an example, this paper expounds the important role of front-end intelligent sensing devices in new infrastructure construction. Compared with the traditional cloud platform processing method, edge computing technology deploys computing power on the physical equipment and data source side of the near power distribution terminal, conducts data analysis, system operation status situational awareness, and makes independent and rapid decisions on the control execution unit side, effectively making up for the shortcomings of cloud computing, responding more timely, and having higher reliability, so it is more suitable for deployment in business scenarios with unstable network environment and high response requirements. In this paper, a new method of edge computing node deployment is proposed to meet the requirements of distributed edge computing in distribution information physics system, considering information stability and power stability The calculation model of computing information stability is constructed by quantifying the real-time degree, accuracy and integrity of information. The power stability scale is established by observing small signal voltage changes. The system information power mixed entropy is calculated based on the mixed entropy theory, and the optimal deployment of network edge computing nodes is solved Finally, based on the IEEE 39 bus power system standard example simulation, the system power stability, information transmission stability and power grid frequency control performance are numerically analyzed. The experimental simulation results verify that the ECN deployment scheme obtained by the proposed method can effectively improve the network response speed, have stronger reactive power support, and achieve rapid suppression of system frequency deviation.
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