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A key technical solution for safety control of large-scale maintenance site measures in open substations is proposed. Firstly, the semantic analysis technology framework of the safety measures scheme is constructed. Natural language processing technology is applied for recognition. A novel Multi-TFC network model is proposed, which can simultaneously complete three sub-tasks of work ticket classification, frame extraction and text detection, and realize automatic generation of substation work tickets to safety measures steps. At the same time, it adopts real-world modeling technology for overall 3D modeling of substations, integrates the deep learning model for the abovementioned work ticket to safety measures program generation, develops subsystems and display interfaces for work ticket and safety measures step generation of the safety measures control platform, receives intelligent analysis and calculation results of safety measures based on the transmission of the safety measures control platform, and establishes a location mapping database model of actual spatial coordinate positions and twin 3D scenes, and automatically generates 3D fences and security measures through The basic data automatically generates 3D fence and grounding line. Finally, it realizes the intelligent visualization presentation of the safety measures layout map.