CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD. (20240247958). METHOD AND INTERNET OF THINGS (IOT) SYSTEM FOR SAFETY MONITORING AND EARLY WARNING OF SMART GAS PIPELINE NETWORK simplified abstract
METHOD AND INTERNET OF THINGS (IOT) SYSTEM FOR SAFETY MONITORING AND EARLY WARNING OF SMART GAS PIPELINE NETWORK
Organization Name
CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor(s)
METHOD AND INTERNET OF THINGS (IOT) SYSTEM FOR SAFETY MONITORING AND EARLY WARNING OF SMART GAS PIPELINE NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240247958 titled 'METHOD AND INTERNET OF THINGS (IOT) SYSTEM FOR SAFETY MONITORING AND EARLY WARNING OF SMART GAS PIPELINE NETWORK
The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for safety monitoring and early warning of a smart gas pipeline network. The method includes obtaining basic monitoring information, identifying abnormal information, determining abnormal information distribution maps, analyzing change features, determining key monitoring points, setting monitoring content, creating an inspection plan, adjusting monitoring frequencies, and generating alarm messages.
- Method and system for safety monitoring and early warning of a smart gas pipeline network
- Utilizes IoT technology for efficient monitoring and analysis
- Identifies abnormal information and determines key monitoring points
- Sets monitoring content and generates alarm messages for timely response
- Enhances safety and efficiency of gas pipeline networks
Potential Applications: - Gas pipeline industry - Safety monitoring systems - IoT technology applications
Problems Solved: - Early detection of abnormalities in gas pipeline networks - Efficient monitoring and response to potential safety risks
Benefits: - Improved safety measures - Timely response to potential hazards - Enhanced efficiency in gas pipeline operations
Commercial Applications: Title: IoT Safety Monitoring System for Gas Pipeline Networks This technology can be utilized by gas pipeline companies to enhance safety measures, improve operational efficiency, and ensure timely response to potential hazards. It can also be integrated into existing monitoring systems to provide real-time data analysis and early warning capabilities.
Prior Art: Researchers in the field of IoT technology and safety monitoring systems have explored similar concepts in the past. It is recommended to search for prior art related to gas pipeline safety monitoring and IoT systems for further insights.
Frequently Updated Research: Stay updated on the latest advancements in IoT technology for safety monitoring systems, gas pipeline network management, and early warning systems to enhance the effectiveness of this innovation.
Questions about IoT Safety Monitoring System for Gas Pipeline Networks:
1. How does this technology improve the safety of gas pipeline networks? This technology enhances safety by providing early warning of potential hazards and enabling timely response to abnormalities in the pipeline network.
2. What are the key features of the IoT system for safety monitoring in gas pipelines? The key features include identifying abnormal information, determining key monitoring points, setting monitoring content, and generating alarm messages for efficient safety monitoring.
Original Abstract Submitted
the embodiment of the present disclosure provides a method and an internet of things (iot) system for safety monitoring and early warning of a smart gas pipeline network. the method includes: obtaining basic monitoring information; identifying abnormal information in the basic monitoring information; determining at least one abnormal information distribution map; determining a change feature of the abnormal information along a direction of the pipeline network; determining a monitoring point whose change feature meets a preset change condition and an abnormal information type of the monitoring point as at least one key monitoring point and a monitoring content of the at least one key monitoring point; determining an inspection plan and a performance allocation plan; adjusting a preset monitoring frequency of distributed monitoring components located at different key monitoring points and at areas surrounding the different key monitoring points; and generating an alarm message.
