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Urban Lifeline Gas Safety Solution

Solution Overview

Leveraging big data, IoT, AI, and spatial AR technologies to promptly identify operational risks and safety hazards in gas systems. This supports gas regulators in accelerating the development of intelligent monitoring and early warning capabilities, driving the industry's transformation from experience-based operations to a dual model powered by data and technology.

Core Modules

Gas Safety Operation Monitoring Sensing Network

Using multiple monitoring methods to track gas equipment in valve chambers, regulator cabinets, pipeline networks, distribution stations, and end-user terminals enables early detection and resolution of safety hazards. This reduces accident risks and enhances the safety management capabilities of gas companies.

Gas Safety Operation Monitoring and Sensing Network

Data Engineering

Data engineering encompasses data inventory and ingestion, database construction and maintenance, data organization and entry, and digital twin modeling.

Data Engineering

Basic Support Platform

To support the display of upper-layer applications, we provide a range of foundational platforms, including IoT Sensing, Unified Service, Message Notification, Workflow Engine, Digital Twin, Big Data, and GIS platforms.

Foundational Support Platform

Gas Safety Application System

Build a digital regulatory system covering the entire gas industry safety chain—gas, cylinders, valves, pipes, networks, and environment—to enable source governance, process monitoring, foundational management, and spatial command. By integrating multi-dimensional data including operator information, equipment status, hazard identification and rectification, and IoT-based monitoring and early warning, achieve real-time supervision and intelligent analysis across all stages of gas supply, distribution, and usage.

Gas Safety Application System

Customer Value

80%+ reduction in safety incident rate
Hazard detection efficiency increased by 70%+
Regulatory compliance rate 100%

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Zhejiang ICP Filing No. 19014130-17