Gas Network
Scene Introduction Demand Analysis Program Highlights Core Products Typical Case
Scene Introduction

Gas supply is a vital component of a Urban's lifeline. A reliable gas supply is essential for supporting industries, households, and public services, making it indispensable for urban functionality. Gas accidents, such as leaks or explosions, can lead to severe consequences, including casualties, property damage, and widespread disruption to urban operations.

The Ruhr IoT Gas Network Sensing System is a comprehensive framework based on IoT, sensor networks, big data, and artificial intelligence. The monitoring system tracks the gas network's status and risks in real time, providing early warnings to detect risks and maintain safety.

Demand Analysis
  • Leakage of Pipeline Gas
    Causes of gas pipeline leakage include: aging of gas pipelines; deformation of gas pipelines ; damage to gas pipelines caused by external construction activities.
  • Safety of Gas Stations
    Gas Stations process flammable materials like natural gas and LNG. Gas leaks may result in fires or explosions.
  • Safety of Gas Users
    High-density public spaces such as markets, hotels, commercial complexes, small restaurants, and corporate canteens, as well as residential areas, are critical zones for gas safety. Accidents in these areas can lead to severe consequences.
Program Highlights
  • Digital Twin Platform
    The features of the Digital Twin Platform: integrated with GIS services and BIM models; underground pipeline visualization; risks early warning and predicting potential property losses.
  • Real-time Security Situation Awareness
    Real-time Security Situation Awareness involves continuously monitoring the pressure, flow rate, gas leakage, as well as environmental factors such as wind and rain, to timely assess the safety conditions of Gas Network.
  • Emergency Command Collaboration
    The efficient collaborative emergency command system leverages data analysis to quickly identify and respond to sudden alarm events, significantly reducing response times and improving overall safety.
  • Assist Decision-Making
    The Assist Decision-Making System offers smart assistance and knowledge services to decision-makers through the the accident analysis model library and the emergency plan knowledge base.
Core Products
Typical Case
Need help? We provide solutions for you.

400-119-1899

7×24 - hour service hotline

Company Address

Floor 8-11, Building 5, No. 8-5, Keji Avenue, Yuhang Street, Yuhang District, Hangzhou City, Zhejiang Province

Follow Us

RUHRloT

Follow the public number

RUHRloT

Copyright © 2025 杭州鲁尔物联科技有限公司 All Right Reserved 浙公网安备33011002013032号 浙ICP备13032182号-1 Sitemap