Overview

The system integrates real-time production data collection with AI-based recognition from key areas of the enterprise. By leveraging built-in risk models, it autonomously identifies hazards, pushes alerts, and dynamically visualizes enterprise-wide risks via a unified dashboard. This enables safety managers to swiftly detect, track, and manage risk responses.

Features
Real-Time Data Acquisition

Collects core production data (e.g., from DCS, SIS, SCADA, and environmental monitoring systems) and supports compatibility with most vendor systems。Monitors critical parameters such as pressure, level, temperature, and gas concentration

Unified Risk Visualization

Displays risk distribution, types, and surrounding hazardous materials on an intuitive "one-map" interface for clear situational awareness

Built-In Warning Models

Embeds analytical models to automatically classify risks (e.g., major, significant, general, or low-level) based on data type, anomaly duration, and trend analysis

Video Recognition

Incorporates multi-scenario AI algorithms to detect personnel incidents (e.g.,falls, absenteeism, sleep), crowd gatherings, intrusions, smoke, fire, and rapid movements, transforming passive monitoring into proactive threat response

Customer value
  1. Proactive Hazard Detection: Identifies potential accident sources to enhance safety management capabilities.

  2. Risk Prioritization: Accelerates hazard recognition through layered warning models.

  3. Active Monitoring: Converts passive surveillance into actionable insights via real-time AI video analytics.

  4. Comprehensive Safety Assurance: Reduces accident likelihood through integrated early warning and risk assessment solutions.

Application scenarios
  1. Suitable for hazardous chemical production facilities and industrial parks, including:

  2. Basic chemicals, refining, agrochemicals, coal chemical processing .

  3. Fine chemicals, mining-associated chemical plants, and new materials

Cases