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How does the safety incident tracing system collect data?

Created on 2025-07-03 09:46:52
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The safety incident tracing system collects data through multiple methods to ensure comprehensive monitoring and accurate tracking of incidents.

  1. Automated Monitoring Tools: The system integrates with sensors, logs, and monitoring tools to automatically collect real-time data. For example, in industrial safety, IoT sensors can detect temperature, pressure, or gas leaks, while network security systems monitor traffic for anomalies.

    • Example: A manufacturing plant uses temperature sensors to detect overheating equipment, automatically sending alerts to the tracing system.

  2. Manual Input and Reporting: Human operators or employees can report incidents through forms, mobile apps, or dedicated platforms. This ensures subjective observations (e.g., near-misses or unsafe conditions) are captured.

    • Example: A construction worker reports a slip hazard via a mobile app, which is logged into the system for investigation.

  3. Integration with Existing Systems: The tracing system often connects with enterprise software (e.g., ERP, CRM, or ITSM) to pull relevant data. This helps correlate incidents with operational or technical contexts.

    • Example: A cybersecurity incident is traced by linking firewall logs, user access records, and system alerts from integrated ITSM tools.

  4. Cloud-Based Data Aggregation: For scalability and accessibility, data is often stored and processed in the cloud. Tencent Cloud’s Cloud Object Storage (COS) and Log Service (CLS) can efficiently collect, store, and analyze large volumes of incident-related data.

    • Example: A logistics company uses COS to store video footage from warehouse cameras, while CLS aggregates logs for pattern analysis.

  5. APIs and Third-Party Integrations: The system can pull data from external sources via APIs, such as weather services (for environmental incidents) or public safety databases.

    • Example: A transportation app integrates weather APIs to correlate accidents with adverse conditions.

By combining these methods, the safety incident tracing system ensures a holistic view of risks and enables faster response. Tencent Cloud’s Big Data Processing Service (EMR) and AI-powered analytics can further enhance data processing and insights.