Bangxin AI Management Network
The Bangxin AI pipeline network achieves real-time monitoring and early warning of pipeline operating status, inspection optimization, pipeline risk prediction, and asset full lifecycle traceability through sensors, data platforms, and AI technologies, forming an integrated platform. By implementing the following functions, it effectively enhances the efficiency of pipeline asset management, reduces leakage rates, decreases labor costs, and significantly lowers overall costs compared to traditional methods.
Leakage monitoring & precise location
Real-time monitoring & risk prediction
Fault Alarm & Intelligent Scheduling
Asset Full Life Cycle Management
System Functions
1. Leakage, fault monitoring and precise positioning
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With the high-frequency pressure real-time monitoring and analysis system as the core, big data analysis, AI and other technologies are used to combine data from multiple dimensions to timely detect pipeline leakage and faults and achieve precise positioning.
2. Real-time monitoring and risk prediction
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It can combine multiple sensors to monitor pressure, flow, temperature, cathodic protection and other data in real time, and analyze the pipeline operation status in real time.
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Through the accumulation and mining of pipeline data and the analysis of abnormal state events, the pipeline network that may have problems is predicted.
3. Fault alarm and emergency dispatch
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Once an abnormal situation (such as leakage, abnormal pressure, etc.) is detected, the system automatically triggers an alarm and notifies relevant personnel.
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Through real-time monitoring, intelligent early warning and remote command, rapid response to emergencies, optimal allocation of resources and efficient coordinated disposal are achieved to ensure the safe and stable operation of liquid and gas pipelines.
4. Asset life cycle traceability
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Through GIS, RFID and IoT technologies, the whole process data of pipelines from design, construction to operation and maintenance is recorded to achieve accurate traceability, intelligent management and risk warning, and improve operation and maintenance efficiency and safety.
5. Equipment remote control
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The system integrates intelligent hardware such as electric valves, and links with the monitoring platform through wireless networks to achieve remote control without on-site operation.
6. Pipeline network asset management
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The AI pipeline network system provides big data support for the full life cycle management of PAM, covering planning, design, procurement, construction or acquisition, operation, maintenance upgrade, update/replacement, review and redesign.