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The “Inspection Officer” intelligent inspection safety management system promotes the research and application of intelligent technologies such as the Internet, cloud computing, and big data in the cement production process. The application layer addresses practical problems; application-layer companies integrate software, hardware, and technology into their products and services, approaching specific industries or scenarios in order to meet the diverse needs of different sectors. “The inspection system features an \"AI intelligent module that uses high-definition cameras as its front end and image algorithms as its core; it offers a wide range of industry-specific applications. Customers can freely combine more than 100 different visual algorithm technologies based on their specific needs. Including violations involving equipment, personnel, vehicles, etc. When AI-powered video detection or recognition identifies any violations, it immediately triggers an alarm, providing alerts in the form of voice messages or warning lights. “The “Inspection Agent” AI system, with its combination of standardized and customized system architectures, enables enterprises to deploy AI algorithms easily, allowing for the efficient prevention of safety accidents in cement plants caused by potential issues such as equipment problems or staffing deficiencies ； Furthermore, due to the cement plant’s specific requirements regarding “lubricants”, “Inspection Master” has specially developed a “Lubrication Module”. This module lists in detail the type and quantity of lubricants required for each piece of equipment, serving as a reminder to inspection personnel and thereby preventing issues such as incorrect lubrication. “The “Inspection Officer” intelligent inspection safety management system creates a fully integrated business process loop. It deeply integrates data resources from various departments and fields, breaks down business scenarios into finer segments, and develops multi-dimensional dynamic thematic indicators. Utilizing rapid situational awareness analysis based on spatio-temporal joint visualization, it enables intelligent and precise root-cause analysis of problems as well as predictive modeling of event trends. This provides enterprises with comprehensive, scientific, and intelligent decision-making support for continuous improvement.