The demand for electricity in economic development is increasing, so it is necessary to establish a unified power marketing audit evaluation system, standardize the power marketing audit workflow, and formulate scientific audit evaluation standards to make the power marketing audit more scientific and objective. This paper introduces multi-sensor cooperative sensing from IoT technology and uses multi-source data fusion technology for complete multi-sensor information fusion. The objective is to illustrate how multi-sensor information fusion and Internet of Things (IoT) improvements may improve the power industry's auditing process, especially at substations, resulting in increased efficiency, accuracy, and risk management. We focus on analyzing the environmental characteristics of the power IoT sensing system in the substation scenario and compare the advantages and disadvantages of various types of networking algorithms. Experiments show that our method has a low bandwidth footprint, energy consumption, and high data accuracy.