IoT Gas Firefighting Control for Enterprise Risk-Based Response
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Solution Overview
Problem
Existing gas firefighting systems fail to account for the differences in firefighting needs of different gas users/enterprises, leading to ineffective fire control strategies.
Innovation Solution
An Internet of Things (IoT) system for smart gas firefighting linkage based on government safety supervision, integrating a smart gas government safety supervision service platform, management platform, sensor network platform, and user platform, which assesses fire risk levels and adjusts operating parameters of gas firefighting equipment based on production stage, feedback, and historical data to provide tailored fire management programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a unified gas firefighting system is used for all enterprises, then system simplicity is maintained, but firefighting effectiveness deteriorates due to inability to account for different enterprise needs
Solution Approach 1:
The system segments enterprises into different risk levels (high-risk, medium-risk, low-risk) based on production stages and gas usage characteristics. Each risk level receives customized firefighting strategies, equipment configurations, and inspection cycles, resolving the contradiction by making the system adaptable to different enterprise needs without becoming overly complex.
Solution Approach 2:
The system dynamically adjusts firefighting parameters (equipment operating parameters, inspection cycles, alarm thresholds) based on real-time production stage data and historical accident information. This dynamic adaptation allows the system to maintain high effectiveness across different enterprises while using a unified platform architecture.
2Reliability
If fixed firefighting parameters are used for all production stages, then system operation is simplified, but fire risk control deteriorates due to lack of stage-specific adjustments
Solution Approach 1:
The system automatically determines appropriate firefighting parameters by analyzing enterprise production stage information, gas consumption data, and historical accident information. The platform self-adjusts equipment operating parameters and inspection cycles without manual intervention, achieving both high fire risk control and ease of operation.
Solution Approach 2:
The system incorporates feedback loops that continuously monitor production stage changes and adjust firefighting parameters accordingly. By using feedback from production data, alarm information, and malfunction information, the system maintains optimal fire risk control while automating parameter adjustments to preserve ease of operation.
3Reliability
If comprehensive monitoring of all enterprises is implemented, then fire safety coverage is improved, but information processing burden increases
Solution Approach 1:
The system applies different monitoring intensities and data collection frequencies to different risk levels. High-risk enterprises receive comprehensive monitoring with frequent data collection, while low-risk enterprises receive standard monitoring. This local differentiation improves overall fire safety coverage while reducing the total information processing burden.
Solution Approach 2:
The system changes monitoring parameters (data collection frequency, detail level, processing intensity) based on enterprise risk levels and production stages. By adjusting these parameters dynamically, the system maintains comprehensive safety coverage for high-risk areas while reducing processing burdens for lower-risk areas.
Data Source
AI summary
Embodiments of the present disclosure provide a method for smart gas firefighting linkage based on government safety supervision, wherein the method is executed by a smart gas government safety supervision management platform based on an Internet-of-Things (IoTs) system for smart gas firefighting linkage based on government safety supervision. The method comprises: determining production stage information of the one or more enterprises based on gas consumption statistics information, current production data, and production planning information of the one or more enterprises; obtaining feedback information from a gas company management platform of the smart gas government safety supervision object platform based on the production stage information of the one or more enterprises; obtaining at least one of alarm information, malfunction information, operating parameters, and hidden danger processing data of at least one set of gas firefighting equipment of the one or more enterprises, and assessing a fire risk level of each of the one or more enterprises; determining fire control parameters of the one or more enterprises based on the fire risk level of the one or more enterprises and the hidden danger processing data; determining an update command based on adjusted operating parameters; and sending the update command to at least one set of gas firefighting equipment corresponding to the update command, and controlling the gas firefighting equipment to update.