Traditional video surveillance system for a chemical park VS intelligent identification and early warning system using AI
Traditional video surveillance system of the chemical park of the plant
Work tasks are planned and organized only by people, and there is no quick feedback on overdue tasks
Lack of real-time monitoring and manual binding of the operating status of equipment and facilities
Inspection of equipment depends on manual experience, and equipment problems cannot be detected in time
Warnings for water immersion, temperature and humidity, smoke, power on/off, etc. are not provided
Inadequate performance of daily security risk investigation and verification tasks
An intelligent AI-assisted identification, monitoring and early warning system for a chemical factory park
IoT device perception, thousands of data, active aggregation, deep analysis, active early warning
Data analysis through deep data analysis to provide a basis for decision making
Standardize manual operations, ensure controlled quality of manual operations and reduce operational risks caused by human factors;
Standardize work, extend equipment life and reduce maintenance accidents;