Abstract: Abstract: To ensure the efficient operation of distribution network lines， achieving safe and reliable live insulation coating is a critical prerequisite. However, various uncertain risk factors may cause potential safety hazards during the process in electrostatic coating operations.  To address the complexity of these risks and meet the demands for real-time safety monitoring， this paper proposes a risk assessment method for coating operations based on perception and multimodal collaboration. Firstly， the Decision Making Trail and Evaluating Laboratory （DEMATEL） method and Interpretative Structural Modeling （ISM） Method are combined with grey theory and the maximum inter-class variance algorithm to develop a comprehensive DEMATEL-ISM evaluation model. This model systematically analyzes multimodal risk indicators associated with coating operations and assesses the impact of each risk factor. Based on the evaluation results， risk membership functions are constructed for key risk indicators to map real-time operational data into risk membership degrees. Finally， a fuzzy integral is employed to establish a multimodal information fusion model， enabling real-time risk assessment throughout the coating process. This work validates the effectiveness of the proposed method through a case study on risk assessment for live-line insulated coating operations. Evaluation results demonstrate that the method accurately identifies and evaluates critical risk factors， providing strong support for real-time safety monitoring and significantly enhancing operational safety.

Key words: Key words: risk assessment, multimodal, data fusion, coating operations