Project Overview:
The Sichuan Hazardous Chemicals Major Hazard Source Monitoring and Early Warning System leverages AI video analysis to provide real-time monitoring and risk prevention for hazardous chemicals enterprises. By identifying unsafe behaviors and dangerous events in key operational areas, the system transforms traditional manual surveillance into an unmanned, real-time early warning platform, greatly improving monitoring efficiency and ensuring workplace safety.
Industry:
Chemical Industrial Parks
Project Goals:
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Real-time detection of unsafe behaviors and hazardous events in hazardous chemicals enterprises.
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Transform manual monitoring into an intelligent, unmanned, and predictive surveillance system.
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Strengthen compliance with safety protocols and minimize fire, explosion, and other operational risks.
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Integrate AI-based monitoring into a “province-city-county-park-enterprise” five-level closed-loop early warning system.
Implementation Approach:
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Deploy Fuwee AI Smart Park Video Analysis System and FIS Intelligent Image Recognition Platform with extensive camera coverage.
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Perform continuous monitoring and analysis of personnel, equipment, materials, and restricted areas.
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Detect unsafe behaviors such as smoking, fire hazards, unauthorized access, absence from posts, unsafe use of protective gear, and automatically trigger alerts.
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Integrate with a custom-developed video management platform for backend analysis and operational reporting.
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Build a comprehensive hazardous chemicals safety risk database for all major hazard sources in the province, enabling “one park, one file; one enterprise, one file” management.
Project Challenges:
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Integrating video streams from 117 hazardous chemical enterprises, with an average of 15 cameras per enterprise, totaling 1,755 channels.
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Tight 12-month timeline for deployment across 114 enterprises and 3 enterprise groups.
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Ensuring real-time alarm, data push, email and SMS notification capabilities, and interface integration for AI alert reporting.
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Managing hazardous chemical production and storage areas where safety is critical and human oversight is prone to errors or neglect.
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Monitoring for unauthorized personnel in sensitive areas without using physical barriers, requiring real-time AI-based video detection.
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High fire and explosion risk areas require uninterrupted monitoring and proactive warning.
Fuwee AI Solution:
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The system comprises front-end cameras, intelligent recognition servers, video analysis software, alarm terminals, web-based management platforms, and data push interfaces.
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Front-end cameras: Capture high-definition video in key areas, including high-risk zones and personnel passageways.
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Smart Park Video Analysis System: Parallel processing clusters perform helmet detection, smoking detection, fire/smoke detection, perimeter intrusion alerts, uniform verification, facial recognition, absence monitoring, high-altitude safety harness detection, and inspection checks.
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Alarm terminals: Use cameras to trigger outdoor speakers for immediate alerts.
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Web management platform: Aggregates, displays, and manages captured data, enabling effective supervision and decision-making.
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System architecture ensures full-area, full-time monitoring, proactive alerting, and automated hazard prevention.
Client Benefits:
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Achieved a province-wide network integrated with the Emergency Management Department, connecting all major hazardous chemical enterprises.
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Real-time detection and risk management capabilities for city, county, and park-level authorities.
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Comprehensive database of safety production risks for 117 major hazard enterprises, enabling precise, file-based management.
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The system enables full coverage, network-wide sharing, complete traceability, and intelligent monitoring, significantly enhancing safety control, operational management, and innovative governance in hazardous chemical enterprises.
Impact:
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Improved safety supervision and compliance in hazardous chemicals enterprises.
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Enabled predictive and preventive monitoring, reducing the likelihood of accidents, fire, or unauthorized access.
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Enhanced efficiency and effectiveness of regulatory oversight through AI-powered video analytics.
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Established a model for intelligent, data-driven hazardous chemical enterprise management in Sichuan Province.
This project demonstrates how AI video analytics can transform hazardous chemicals safety management, providing real-time, proactive, and unmanned monitoring, while strengthening the province’s risk control and regulatory capabilities.