A multi-point cooperative gas emergency shutdown positioning method based on a gas monitoring system

Abstract

The present application relates to a kind of multi-point cooperative gas emergency shutdown positioning method based on gas monitoring system, belong to the field of automation control technology. Among them, the method includes: real-time acquisition multi-source alarm signal;And the analog quantity and switch quantity of the multi-source alarm signal are uniformly converted into digital processing code;Multi-source alarm signal digital processing code is analyzed in real time to obtain alarm priority and associated equipment address, and data accuracy is verified by actual combat coefficient correction model;Combining dynamic networking and cooperative decision mechanism generates shutdown path;Shutdown path is executed, and execution result is fed back to host computer monitoring platform in real time, and field alarm lamp state and broadcast system are updated simultaneously;Through host computer monitoring platform, alarm history curve, equipment state and linkage logic of shutdown operation are recorded, and manual reset interface is provided to remove shutdown state. Efficient processing and accurate response of gas leakage accident are realized.

Description

A multi-point collaborative gas emergency shutdown location method based on a gas monitoring system Technical Field

[0001] This invention belongs to the field of automation control technology, specifically relating to a multi-point collaborative gas emergency shutdown positioning method based on a gas monitoring system. Background Technology

[0002] For applications involving flammable, explosive, or toxic gases (such as in semiconductor plants, chemical plants, and gas stations), real-time monitoring of gas leaks, fires, physical impacts, and manual emergency intervention (EMO button) is required. Distributed equipment deployment (multi-area gas holders, VMB valve boxes) necessitates coordinating global shutdown logic for valves, gas sources, and evacuation routes. Millisecond-level response is required, and erroneous or delayed shutdowns that could escalate the accident must be avoided. Decision-making relies on multi-source signal collaboration; a single signal is prone to false alarms.

[0003] Traditional standalone alarm systems cannot handle multi-device linkage (such as GIS coordinates, fire zone linkage), and need to be combined with dynamic topology (device-valve mapping table) and real-time risk calculation (risk-distance weighted map).

[0004] The main problems at this stage are:

[0005] (1) The lack of uniformity between analog and digital signals and the asynchronous clocks lead to timing chaos. Transmission errors affect decision-making, resulting in distortion or delay of alarm signals and reduced shutdown accuracy.

[0006] (2) Traditional systems cannot correlate signals from multiple devices in real time, and a single alarm may be falsely triggered to shut down (such as gas leaks that are not combined with flame / earthquake signals), or may fail to report critical risks.

[0007] (3) Fixed alarm thresholds cannot adapt to environmental changes, and sensor zero drift / full drift leads to measurement deviation, resulting in a high false alarm rate.

[0008] (4) The preset shutdown path cannot be dynamically adjusted. There is no emergency mechanism when the link is interrupted or the valve fails, which causes shutdown delay or failure and expands the scope of the accident.

[0009] (5) There is no real-time feedback on the shutdown result and no audit traceability for the reset operation, so the effectiveness of the shutdown cannot be confirmed and manual reset may cause secondary risks. Summary of the Invention

[0010] To address the aforementioned problems in the existing technology, this invention provides a multi-point coordinated gas emergency shutdown positioning method. The objective of this invention can be achieved through the following technical solution:

[0011] S1: Based on the distributed deployment of gas detectors, flame detectors, seismographs, and EMO emergency stop buttons, it collects multi-source alarm signals in real time, including gas concentration, flame signal, seismic acceleration, and manual trigger signal; and converts the analog and digital quantities of the multi-source alarm signals into digital processing codes.

[0012] S2: Perform real-time collaborative analysis on the digital processing encoding of the multi-source alarm signals to obtain alarm priority and associated device address, and verify the accuracy of the data through a practical coefficient correction model; combine dynamic networking and collaborative decision-making mechanisms to generate collaborative decisions for multi-source alarms, and dynamically generate shutdown paths based on the collaborative decision-making results;

[0013] S3: Execute the shutdown path and feed the execution result back to the host computer monitoring platform in real time, and update the status of the on-site alarm lights and the broadcast system simultaneously to complete the closed-loop control of the gas emergency shutdown;

[0014] S4: Records alarm history curves, device status and linkage logic of shutdown operations through the host computer monitoring platform, and provides a manual reset interface to release the shutdown state.

[0015] Specifically, the analog and digital signals of the multi-source alarm signals are uniformly converted into digital processing codes, which includes the following steps:

[0016] S101: The acquired multi-source alarm signals are encapsulated into a unified data frame that follows a predefined structure. The data frame includes: a timestamp field for identifying the signal acquisition time, a source device address field for uniquely identifying the signal source, a signal type encoding field for distinguishing signal types, and a data payload field for carrying the actual measured value.

[0017] S102: For analog signals, the standardized electrical signal is converted into a corresponding digital quantity by an analog-to-digital converter, and the digital quantity is used as the data load field; for switch signals, the on / off or open / closed state is directly mapped to a preset binary value of 1 or 0, and the binary value is used as the data load.

[0018] S103: Synchronize the local clocks of all distributed detectors, probes, seismographs and emergency stop buttons in the system based on the time protocol. The value of the timestamp field comes from the synchronized local clock.

[0019] S104: When generating a unified data frame, the receiving end automatically corrects bit errors generated during transmission using forward error correction codes without requesting retransmission. The forward error correction codes are added to a preset field of the data frame.

[0020] Specifically, the real-time collaborative analysis method is as follows:

[0021] S201: Receive and buffer unified data frames from all distributed nodes, establish a sliding time window according to the timestamp field, and construct a real-time signal matrix within the window using the source device address as an index;

[0022] S202: Based on the local danger index of each type of signal, perform priority sorting according to the real-time signal matrix, and construct a collaborative correlation graph;

[0023] S203: Cluster the collaborative association graph based on the graph segmentation algorithm to obtain collaborative alarm clusters; and calculate the danger level of each collaborative alarm cluster;

[0024] S204: Sort the alarm priority queue in descending order according to the danger level of each cluster; at the same time, extract the addresses of all nodes in the cluster to form a set of associated device addresses.

[0025] Specifically, the practical coefficient correction model includes environmental parameter calibration, equipment health correction, and dynamic range locking. The environmental parameter calibration is based on sensor data to dynamically compensate for gas concentration values. The equipment health correction adjusts the alarm threshold based on the real-time health status of the fault status and power status displayed on the detector list screen of the host computer monitoring platform, as well as the equipment's runtime and number of faults. The dynamic range locking automatically performs "zero drift - full drift" two-point calibration after the equipment is powered on or after each maintenance, records the current zero point and full point, calculates the error between the current zero point and full point and the zero point and full point before maintenance, locks the new range, and immediately pushes it to all related nodes.

[0026] Specifically, the implementation logic of the dynamic networking in the gas emergency shutdown is as follows:

[0027] When a collaborative alarm cluster is formed, the communication path is automatically switched based on the PLC redundancy architecture. The main path is directly connected to high-priority devices through a switch, and the backup path is connected to secondary devices through a serial port converter, forming a ring topology.

[0028] Shutdown commands take priority in using the real-time control channel; a local command cache is deployed at the gas holder level to store backup shutdown commands; in the event of a network interruption, the area PLC executes the last valid command received.

[0029] Specifically, the decision-making logic of the collaborative decision-making mechanism is as follows:

[0030] The on-site PLC directly generates a shutdown command based on the locally stored device-valve mapping table, immediately shuts down the corresponding gas cylinder cabinet or VMB valve, and caches a copy of the command.

[0031] The redundant PLC collects the status of all nodes in the cluster through a ring Ethernet network and solves the minimum impact shutdown set on the topology graph.

[0032] The host computer server combines GIS coordinates, evacuation routes, and fire zones to generate a global shutdown path.

[0033] Specifically, the mechanism for generating and executing the shutdown path is as follows:

[0034] Using the highest priority collaborative alarm cluster as the root node, a risk-distance weighted graph is constructed by combining the device topology diagram; the shortest shutdown path from the root node to all valves that need to be closed is searched in the graph;

[0035] When a valve fails or the link is interrupted, the area PLC recalculates the local path and pushes it to the host computer; the host computer monitoring platform recalculates the global path and immediately issues an update command.

[0036] Specifically, the shutdown path is split into instruction frames containing valve address, action sequence, and expected shutdown time; the instruction frames are sent sequentially through redundant PLCs, switches, and valves, and are also backed up to local cache.

[0037] Specifically, the shut-off path is displayed in real time on the host computer monitoring platform in the form of a dynamic topology map, and the path color is set to correspond to the risk level; after the valve action is in place, the open / close status is fed back through the proximity switch or limit switch. If the action is not in place within the time limit or the status is abnormal, the host computer monitoring platform triggers the path rollback mechanism.

[0038] The shutdown path is displayed in real time on the host computer monitoring platform in the form of a dynamic topology map, and the path color is set to correspond to the risk level.

[0039] Specifically, the host computer monitoring platform presents the status of gas areas, valves, and detectors in a planar diagram, with alarm areas flashing red and normal areas displaying green; the current execution path is marked on the topology diagram with animated arrows and risk level color bars are superimposed; after the reset button is triggered, the system restores gas supply step by step in reverse order of valves, VMB, and gas holder, while recording the reset personnel and time.

[0040] The multi-point coordinated gas emergency shutdown location method of this invention has significant advantages. First, by uniformly converting the analog and digital signals of multi-source alarm signals into digital processing codes, it effectively solves problems such as inconsistent analog / digital signal protocols, clock asynchrony, and transmission errors, greatly improving the accuracy of shutdown. The unified data frame structure and synchronized clock ensure accurate and timely transmission of alarm signals, avoiding decision-making errors caused by signal distortion or delay.

[0041] The combination of real-time collaborative analysis and a practical coefficient correction model enables the system to correlate signals from multiple devices in real time, avoiding false alarms that could lead to shutdowns or missed critical risks. Prioritization and clustering analysis based on the local hazard indices of different signals accurately identify collaborative alarm clusters and their hazard levels, generating a reasonable alarm priority queue and a set of associated device addresses. Simultaneously, the practical coefficient correction model dynamically adjusts alarm thresholds and measurement data based on environmental parameters, device health, and range changes, effectively reducing the false alarm rate.

[0042] Dynamic networking and collaborative decision-making mechanisms provide the system with strong adaptability and reliability. The ring topology and backup communication paths of the dynamic networking ensure that shutdown commands can still be transmitted normally in the event of network interruption or link failure. The collaborative decision-making mechanism comprehensively considers information from field PLCs, redundant PLCs, and the host computer server to generate a global shutdown path, which can dynamically adjust the shutdown strategy according to the actual situation, avoiding the problem that preset shutdown paths cannot adapt to complex situations.

[0043] The mechanism for generating and executing shutdown paths, along with real-time feedback, ensures the effectiveness and traceability of shutdown operations. The search and dynamic adjustment of the shortest shutdown path allows for rapid response to valve failures or link interruptions, reducing the risk of shutdown delays and failures. Real-time feedback of shutdown results and visualization on the host computer monitoring platform enable operators to understand the shutdown status promptly. Furthermore, the audit and traceability function for reset operations avoids secondary risks that may arise from manual resets.

[0044] In summary, the multi-point coordinated gas emergency shutdown positioning method of the present invention can effectively solve the problems existing in the prior art, improve the accuracy, reliability and safety of gas emergency shutdown, and provide more comprehensive safety protection for places involving flammable, explosive and toxic gases. Attached Figure Description

[0045] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0046] Figure 1 is a flowchart illustrating a multi-point coordinated gas emergency shutdown positioning method according to the present invention;

[0047] Figure 2 is a visual schematic diagram of the global plane of the host computer monitoring platform in this invention;

[0048] Figure 3 is a visual schematic diagram of the area plane of the host computer monitoring platform in this invention;

[0049] Figure 4 is a visual schematic diagram of the interior of the host computer monitoring platform device in this invention;

[0050] Figure 5 shows the list of detectors in the monitoring screen of the host computer monitoring platform in this invention. Detailed Implementation

[0051] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0052] Please refer to Figures 1-5. A multi-point coordinated gas emergency shutdown location method includes:

[0053] S1: Based on the distributed deployment of gas detectors, flame detectors, seismographs, and EMO emergency stop buttons, it collects multi-source alarm signals in real time, including gas concentration, flame signal, seismic acceleration, and manual trigger signal; and converts the analog and digital quantities of the multi-source alarm signals into digital processing codes.

[0054] S2: Perform real-time collaborative analysis on the digital processing encoding of the multi-source alarm signals to obtain alarm priority and associated device address, and verify the accuracy of the data through a practical coefficient correction model; combine dynamic networking and collaborative decision-making mechanisms to generate collaborative decisions for multi-source alarms, and dynamically generate shutdown paths based on the collaborative decision-making results;

[0055] S3: Execute the shutdown path and feed the execution result back to the host computer monitoring platform in real time, and update the status of the on-site alarm lights and the broadcast system simultaneously to complete the closed-loop control of the gas emergency shutdown;

[0056] S4: Records alarm history curves, device status and linkage logic of shutdown operations through the host computer monitoring platform, and provides a manual reset interface to release the shutdown state.

[0057] Specifically, the analog and digital signals of the multi-source alarm signals are uniformly converted into digital processing codes, which includes the following steps:

[0058] S101: The acquired multi-source alarm signals are encapsulated into a unified data frame that follows a predefined structure. The data frame includes: a timestamp field for identifying the signal acquisition time, a source device address field for uniquely identifying the signal source, a signal type encoding field for distinguishing signal types, and a data payload field for carrying the actual measured value.

[0059] S102: For analog signals, the standardized electrical signal is converted into a corresponding digital quantity by an analog-to-digital converter, and the digital quantity is used as the data load field; for switch signals, the on / off or open / closed state is directly mapped to a preset binary value of 1 or 0, and the binary value is used as the data load.

[0060] S103: Synchronize the local clocks of all distributed detectors, probes, seismographs and emergency stop buttons in the system based on the time protocol. The value of the timestamp field comes from the synchronized local clock.

[0061] S104: When generating a unified data frame, the receiving end automatically corrects bit errors generated during transmission using forward error correction codes without requesting retransmission. The forward error correction codes are added to a preset field of the data frame.

[0062] Specifically, the real-time collaborative analysis method is as follows:

[0063] S201: Receive and buffer unified data frames from all distributed nodes, establish a sliding time window according to the timestamp field, and construct a real-time signal matrix within the window using the source device address as an index;

[0064] S202: Based on the local danger index of each type of signal, perform priority sorting according to the real-time signal matrix, and construct a collaborative correlation graph;

[0065] S203: Cluster the collaborative association graph based on the graph segmentation algorithm to obtain collaborative alarm clusters; and calculate the danger level of each collaborative alarm cluster;

[0066] S204: Sort the alarm priority queue in descending order according to the danger level of each cluster; at the same time, extract the addresses of all nodes in the cluster to form a set of associated device addresses.

[0067] In this embodiment, the digital processing encoding is accomplished in the following way:

[0068] All 4-20 mA or 0-20 mA analog signals from gas detectors, dry contact switching signals from UVIR flame detectors, multi-segment dry contact or analog signals from seismographs, and dry contact signals from EMO emergency stop buttons are uniformly encoded using 16-bit signed integers; where:

[0069] The analog signal is linearly mapped from 0-20mA to 0-32767 through the PLC's AI module;

[0070] Switch signals are represented by 0 / 1 to indicate normal / alarm;

[0071] Multiple alarm signals are encoded in a bit field manner, with the lower 8 bits representing the alarm level (0-3) and the higher 8 bits representing the device address index.

[0072] A UTC millisecond-level timestamp is appended to the high 16 bits of each encoded word to ensure time synchronization of data packets across devices; at the same time, 2 bits of synchronization flag are reserved to identify whether the data packet has been cross-validated by the redundant PLC system.

[0073] A CRC-16 checksum is appended to the end of the encoded word, covering the timestamp, alarm level, device address, and signal value, to ensure data integrity during Ethernet transmission.

[0074] Embed a 2-bit priority field in the 12th-13th bits of the encoded word:

[0075] 00 General Alarm

[0076] 01 Gas Stage Two Alarm

[0077] 10 UVIR / Seismograph Three-Stage Alarm

[0078] 11 EMO emergency stop highest priority

[0079] Bits 0-7 are used to store the device address index, which corresponds one-to-one with the field GIS coordinates and PLC station number, supporting up to 256 distributed nodes; the address index is fixed through the field configuration table to avoid addressing conflicts caused by dynamic allocation. Bit 14 is the redundancy flag, which is set to 1 when the signal passes cross-validation by the redundant PLC; Bit 15 is the fault flag, which is set to 1 when an open circuit, short circuit, or power failure of the sensor is detected, and a fault alarm process is triggered simultaneously.

[0080] Specifically, the practical coefficient correction model includes environmental parameter calibration, equipment health correction, and dynamic range locking. The environmental parameter calibration is based on sensor data to dynamically compensate for gas concentration values. The equipment health correction adjusts the alarm threshold based on the real-time health status of the fault status and power status displayed on the detector list screen of the host computer monitoring platform, as well as the equipment's runtime and number of faults. The dynamic range locking automatically performs "zero drift - full drift" two-point calibration after the equipment is powered on or after each maintenance, records the current zero point and full point, calculates the error between the current zero point and full point and the zero point and full point before maintenance, locks the new range, and immediately pushes it to all related nodes.

[0081] Specifically, the implementation logic of the dynamic networking in the gas emergency shutdown is as follows:

[0082] When a collaborative alarm cluster is formed, the communication path is automatically switched based on the PLC redundancy architecture. The main path is directly connected to high-priority devices through a switch, and the backup path is connected to secondary devices through a serial port converter, forming a ring topology.

[0083] Shutdown commands take priority in using the real-time control channel; a local command cache is deployed at the gas holder level to store backup shutdown commands; in the event of a network interruption, the area PLC executes the last valid command received.

[0084] Specifically, the decision-making logic of the collaborative decision-making mechanism is as follows:

[0085] The on-site PLC directly generates a shutdown command based on the locally stored device-valve mapping table, immediately shuts down the corresponding gas cylinder cabinet or VMB valve, and caches a copy of the command.

[0086] The redundant PLC collects the status of all nodes in the cluster through a ring Ethernet network and solves the minimum impact shutdown set on the topology graph.

[0087] The host computer server combines GIS coordinates, evacuation routes, and fire zones to generate a global shutdown path.

[0088] Specifically, the mechanism for generating and executing the shutdown path is as follows:

[0089] Using the highest priority collaborative alarm cluster as the root node, a risk-distance weighted graph is constructed by combining the device topology diagram; the shortest shutdown path from the root node to all valves that need to be closed is searched in the graph;

[0090] When a valve fails or the link is interrupted, the area PLC recalculates the local path and pushes it to the host computer; the host computer monitoring platform recalculates the global path and immediately issues an update command.

[0091] Specifically, the shutdown path is split into instruction frames containing valve address, action sequence, and expected shutdown time; the instruction frames are sent sequentially through redundant PLCs, switches, and valves, and are also backed up to local cache.

[0092] Specifically, the shut-off path is displayed in real time on the host computer monitoring platform in the form of a dynamic topology map, and the path color is set to correspond to the risk level; after the valve action is in place, the open / close status is fed back through the proximity switch or limit switch. If the action is not in place within the time limit or the status is abnormal, the host computer monitoring platform triggers the path rollback mechanism.

[0093] The shutdown path is displayed in real time on the host computer monitoring platform in the form of a dynamic topology map, and the path color is set to correspond to the risk level.

[0094] Specifically, the host computer monitoring platform presents the status of gas areas, valves, and detectors in a planar diagram, with alarm areas flashing red and normal areas displaying green; the current execution path is marked on the topology diagram with animated arrows and risk level color bars are superimposed; after the reset button is triggered, the system restores gas supply step by step in reverse order of valves, VMB, and gas holder, while recording the reset personnel and time.

[0095] In this embodiment, the real-time collaborative analysis method receives and caches unified data frames from all distributed nodes, establishes a sliding time window according to the timestamp field, and the window length T_window is configurable; within the window, a real-time signal matrix M(t)∈ℝ^(N×4) is constructed with the source device address as the index, where N is the total number of currently online nodes, and the 4 columns correspond to the gas concentration value, flame status, seismic acceleration value and EMO status, respectively.

[0096] S202: Perform priority evaluation on M(t):

[0097] Calculate the local hazard index D for each type of signal. i (t):

[0098] -Gas: D gas =k1·(C / C TLV ) 2 Where C is the measured concentration, C TLV Permissible limits;

[0099] -Flame:D uvir = k2·S uvir S uvir ∈{0,1} represents the state of the flame detector;

[0100] -Earthquake:D eq = k3·(A / A set ), where A is the acceleration value, A set There are three alarm thresholds.

[0101] -EMO:D emo = k4·S emo S emo ∈{0,1};

[0102] Take D max (t)=max(D i (t) represents the instantaneous danger level of that node;

[0103] Construct a collaborative association graph G(t)=(V,E), where V is the set of nodes and E has edge weights w. ij =α·exp(-d ij / β)·|D i -D j |,d ij Let w be the physical distance between the two nodes, α = 0.8, β = 50 m; ij The threshold θ is then marked as a collaborative alarm edge;

[0104] A graph segmentation algorithm is used to cluster G(t) to obtain several cooperative alarm clusters {C_k}; the danger level D of each cluster is... cluster =Σ (i∈Ck) D i ·w i , where w i This represents the betweenness centrality of the node within the cluster.

[0105] According to D cluster Sort the alarms in descending order to generate an alarm priority queue Q. priority Simultaneously, extract the addresses of all nodes within the cluster to form the associated device address set A.cluster ;

[0106] D cluster A cluster The original signal is fed into the practical coefficient correction model. If the corrected D cluster If the value is ≥1.2·θ, the alarm is confirmed to be valid; otherwise, it is marked as a suspected false alarm and its priority is reduced.

[0107] Using the confirmed highest priority cluster as the root node, perform a shortest shutdown path search based on the equipment topology T (gas cylinder cabinet-valve-VMB-machine) to generate a dynamic shutdown path P(t)={v1→v2→…→v m}, where the total path risk R path =ΣD i ·t response Minimize, t response This refers to the valve's operating time.

[0108] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A multi-point coordinated gas emergency shutdown location method based on a gas monitoring system, characterized in that, include: S1: Based on the distributed deployment of gas detectors, flame detectors, seismographs, and EMO emergency stop buttons, it collects multi-source alarm signals in real time, including gas concentration, flame signal, seismic acceleration, and manual trigger signal; and converts the analog and digital quantities of the multi-source alarm signals into digital processing codes. Specifically, the process includes the following steps: S101: Encapsulating the collected multi-source alarm signals into a unified data frame following a predefined structure. The data frame includes: a timestamp field for identifying the signal acquisition time, a source device address field for uniquely identifying the signal source, a signal type encoding field for distinguishing signal types, and a data load field for carrying the actual measured value; S102: For analog signals, converting the standardized electrical signal into a corresponding digital quantity using an analog-to-digital converter, and using the digital quantity as the data load field; for switch signals, directly mapping the on / off or open / closed state to... S103: Based on a time protocol, synchronize the local clocks of all distributed detectors, probes, seismographs, and emergency stop buttons within the system. The value of the timestamp field comes from the synchronized local clock. S104: When generating a unified data frame, the receiving end automatically corrects bit errors generated during transmission using forward error correction codes without requesting retransmission. The forward error correction codes are added to a preset field in the data frame. S2: Perform real-time collaborative analysis on the digital processing encoding of the multi-source alarm signals to obtain alarm optimization. Priority and associated device addresses are identified, and data accuracy is verified through a practical coefficient correction model. A collaborative decision-making mechanism is used to generate collaborative decisions for multi-source alarms, and shutdown paths are dynamically generated based on the collaborative decision results. The real-time collaborative analysis method is as follows: S201: Receive and cache unified data frames from all distributed nodes, establish a sliding time window according to the timestamp field, and construct a real-time signal matrix within the window using the source device address as an index; S202: Perform priority sorting based on the local hazard index of each type of signal according to the real-time signal matrix, and construct a collaborative association graph; S203: Based on the graph segmentation algorithm... The collaborative association graph is clustered to obtain collaborative alarm clusters; and the danger level of each collaborative alarm cluster is calculated; S204: the alarm priority queue is generated by sorting the clusters in descending order of their danger levels; at the same time, the addresses of all nodes in the cluster are extracted to form a set of associated device addresses; S3: the shutdown path is executed, and the execution result is fed back to the host computer monitoring platform in real time, and the status of the on-site alarm lights and the broadcast system are updated synchronously to complete the closed-loop control of the gas emergency shutdown; S4: the alarm history curve, device status and linkage logic of the shutdown operation are recorded through the host computer monitoring platform, and a manual reset interface is provided to release the shutdown state.

2. The method according to claim 1, characterized in that, The practical coefficient correction model includes environmental parameter calibration, equipment health correction, and dynamic range locking. The environmental parameter calibration is based on sensor data and dynamically compensates for gas concentration values. The equipment health correction adjusts the alarm threshold based on the real-time health status of the fault status and power status displayed on the detector list screen of the host computer monitoring platform, as well as the equipment's runtime and number of faults. The dynamic range locking automatically performs "zero drift - full drift" two-point calibration after the equipment is powered on or after each maintenance, records the current zero point and full point, calculates the error between the current zero point and full point and the zero point and full point before maintenance, locks the new range, and immediately pushes it to all related nodes.

3. The method according to claim 1, characterized in that, The implementation logic of the dynamic networking in gas emergency shutdown is as follows: when a collaborative alarm cluster is formed, the communication path is automatically switched based on the PLC redundancy architecture. The main path is directly connected to high-priority devices through a switch, and the backup path is connected to secondary devices through a serial port converter to form a ring topology. Shutdown commands take priority to occupy the real-time control channel. A local command cache is deployed at the gas cabinet level to store backup shutdown commands. When the network is interrupted, the area PLC executes the last valid command received.

4. The method according to claim 1, characterized in that, The decision-making logic of the collaborative decision-making mechanism is as follows: the field PLC directly generates a shutdown command based on the locally stored device-valve mapping table, immediately shuts down the corresponding gas cylinder cabinet or VMB valve, and caches a copy of the command; the redundant PLC collects the status of all nodes in the cluster through a ring Ethernet and solves the minimum impact shutdown set on the topology map; the host computer server combines GIS coordinates, evacuation routes, and fire compartments to generate a global shutdown path.

5. The method according to claim 1, characterized in that, The mechanism for generating and executing the shutdown path is as follows: using the highest priority collaborative alarm cluster as the root node, a risk-distance weighted graph is constructed in conjunction with the equipment topology graph; the shortest shutdown path from the root node to all valves that need to be shut down is searched in the graph; when a valve fails or the link is interrupted, the area PLC recalculates the local path and pushes it to the host computer; the host computer monitoring platform recalculates the global path and immediately issues an update command.

6. The method according to claim 1, characterized in that, The shutdown path is split into instruction frames containing valve address, action sequence, and expected shutdown time; the instruction frames are sent sequentially through redundant PLCs, switches, and valves, and are also backed up to the local cache.

7. The method according to claim 1, characterized in that, The shut-off path is displayed in real time on the host computer monitoring platform in the form of a dynamic topology map, and the path color is set to correspond to the risk level. After the valve action is in place, the open / close status is fed back through the proximity switch or limit switch. If the action is not completed within the time limit or the status is abnormal, the host computer monitoring platform triggers the path rollback mechanism. The shut-off path is displayed in real time on the host computer monitoring platform in the form of a dynamic topology map, and the path color is set to correspond to the risk level.

8. The method according to claim 1, characterized in that, The host computer monitoring platform presents the status of gas areas, valves, and detectors in a planar diagram, with alarm areas flashing red and normal areas displaying green. The current execution path is marked with animated arrows on the topology diagram, and risk level color bars are superimposed. After the reset button is triggered, the system restores gas supply in reverse order of valves, VMB, and gas holder, while recording the reset personnel and time.

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