To address the operational quality assessment requirements of the high speed power line carrier communication (HPLC) unit in energy metering equipment, a multi-model integration-based assessment method utilizing KICA-CIM is proposed. Firstly, the main performance influencing factors of local internet of things (IoT) application scenarios and communication technologies of typical customer-side metering equipment are integrated and analyzed, and a universally applicable index library for performance evaluation of IoT scenarios is comprehensively constructed. Next, in the operational scenario with multi-source, heterogeneous, and high-dimensional data environment, on the one hand, kernel independent component analysis (KICA) is used to process nonlinear features and solve principal components, calculating individual weights of each indicator. On the other hand, component importance measure (CIM) model is utilized to distinguish and measure the different impact levels of each indicator evaluation result on the overall evaluation effect, assigning importance weights to the indicators to determine the functional weight of each indicator. Through the implementation of integrated weighting models, comprehensive assessment of operational quality is achieved. Finally, the feasibility and effectiveness of the proposed method are verified using data from energy metering equipment in a certain region, which contributes to improving the accuracy and rationality of the assessment results.