Multidimensional Data Fusion New Area Running Condition Assessment Method of Perception

The operation status of low voltage platform area is very important to the effective management of the platform area. It is very important to understand and make use of the current situation of the station area to improve the quality of operation and maintenance management. However, the current assessment of station operation status lacks in-depth analysis of power consumption data, and adopting a single weighting method may introduce subjective or objective bias. To solve this problem, this paper proposes a new method of station operating state evaluation based on multi-dimensional data perception. First of all, the integrated intelligent monitoring terminal is installed in the platform area as the central node of data processing. These terminals can collect and analyze data in real time, and use their powerful computing power to establish a comprehensive evaluation system of station operation status. Secondly, in order to ensure the fairness of weight distribution, the analytic hierarchy process and difference coefficient method are used to calculate the subjective and objective weights of each index, balance the weight distribution of different indicators, and use the least square combination method to determine the comprehensive weight of indicators. Finally, by assigning the weights of each index, the comprehensive evaluation results of the running state of the station are obtained. The actual case analysis shows that the evaluation method is effective and has certain engineering application value.