基于零代码编排的煤矿智能化安全巡查系统研究OA

To address the challenges of traditional coal mine safety inspection systems,such as long development cycles,high costs,and poor adaptability,this paper proposes an innovative solution integrating zero-code orchestration with customizable AI configuration.The approach features a visual component-based intelligent orchestration platform tailored for coal mine scenarios,enabling drag-and-drop configuration of inspection workflows,multi-source data fusion,and flexible AI model composition.The system includes preconfigured AI templates and parameters for typical mining scenarios,such as longwall faces,heading faces,and haulage roadways,allowing non-technical personnel to rapidly deploy customized intelligent inspection systems.Field implementation demonstrates that development time reduces from 7 days to 1 hour,costs decrease by 80%,inspection efficiency improves by 75%,and risk response time shortens by 83.3%.This solution offers a low-cost,high-efficiency pathway for intelligent inspection of coal mine safety inspections,demonstrating significant practical value and broad applicability.