CN-121981454-A - Operation and maintenance processing method and system for tunnel intelligent fire-fighting system

CN121981454ACN 121981454 ACN121981454 ACN 121981454ACN-121981454-A

Abstract

The invention provides an operation and maintenance processing method and system of a tunnel intelligent fire protection system, which relate to the technical field of operation and maintenance of tunnel fire protection systems, and comprise the steps of firstly, receiving an operation and maintenance trigger signal to start an interactive response flow, wherein the trigger signal is derived from abnormal feedback of equipment or preset conditions of environmental change; the method comprises the steps of collecting equipment operation situation and environment influence situation information to construct a comprehensive situation data set, establishing interaction correlation characteristics of the equipment operation situation and the environment influence situation information based on a dynamic situation mapping model, generating a targeted operation and maintenance action sequence according to the interaction correlation characteristics, including equipment adjustment, component maintenance and environment adaptation operation and sequencing according to priority, and collecting and updating a situation information optimization model after the sequence is executed. The method can actively find hidden dangers, comprehensively and accurately analyze situation, generate targeted operation and maintenance actions, improve operation and maintenance efficiency and ensure stable operation of the tunnel fire-fighting system.

Inventors

ZHOU WEN
WEN WENBIN
QIU KUN
LIN JIE
CHEN XUANYI
WANG WEI

Assignees

四川九通智路科技有限公司
四川省交通运输厅信息中心
四川云控交通科技有限责任公司

Dates

Publication Date: 20260505
Application Date: 20260114

Claims (10)

1. An operation and maintenance processing method of a tunnel intelligent fire protection system is characterized by comprising the following steps: receiving an operation and maintenance trigger signal and starting an interactive response flow of equipment operation, environment change and operation and maintenance actions, wherein the operation and maintenance trigger signal is derived from a preset condition triggered by abnormal equipment state feedback or tunnel environment change of a tunnel intelligent fire protection system; Acquiring equipment operation situation information of a tunnel intelligent fire protection system and tunnel internal environment influence situation information, and constructing a comprehensive situation data set, wherein the equipment operation situation information comprises function output state and component operation stability information of fire protection equipment, and the environment influence situation information comprises various environment factor related information influencing equipment operation in the tunnel; Establishing interactive correlation characteristics of equipment operation situation information and environment influence situation information based on a preset dynamic situation mapping model, wherein the dynamic situation mapping model is formed by training historical interaction data of equipment operation and environment change, and the interactive correlation characteristics reflect evolution rules of equipment operation states under different environment influences; Generating a targeted operation and maintenance action sequence according to the interactive association characteristics, wherein the operation and maintenance action sequence comprises equipment adjustment operation, component maintenance operation and environment adaptation operation for adapting to the current situation, and the operations are ordered according to situation response priorities; And executing an operation and maintenance action sequence, collecting equipment operation updating situation information and environment influence updating situation information after the action is executed, inputting the equipment operation updating situation information and the environment influence updating situation information into a dynamic situation mapping model, and optimizing the interactive association matching precision of the dynamic situation mapping model.
2. The operation and maintenance processing method of the tunnel intelligent fire protection system according to claim 1, wherein the collecting the equipment operation situation information of the tunnel intelligent fire protection system and the tunnel internal environment influence situation information, constructing the comprehensive situation data set, comprises: Setting equipment operation situation awareness core dimensions of the fire-fighting equipment, wherein the equipment operation situation awareness core dimensions comprise a starting response state, an operation duration state, a function output standard reaching state and a component cooperative working state, and each equipment operation situation awareness core dimension corresponds to a specific situation description index; The method comprises the steps that distributed sensing nodes are deployed to capture the starting response state of the fire-fighting equipment in real time, the distributed sensing nodes are installed on an equipment core control module and an output port, and response process information after a starting instruction is received by capture equipment; acquiring component operation stability information of the fire-fighting equipment through a component built-in sensing unit, wherein the component built-in sensing unit continuously monitors operation vibration information, heat dissipation information and action coordination information of a core component; Dividing an internal environment influence area of a tunnel, and deploying environment sensing equipment according to an environment area corresponding to an equipment installation position, wherein the environment sensing equipment is used for capturing environment factor change information of the corresponding area; Setting the air component change, airflow motion state and external environment permeation influence in the tunnel as core associated factors of environment influence situation; collecting air component change information of each area through environment sensing equipment, and recording the change of the duty ratio and the continuous change process of various substances in the air component; capturing airflow motion state information of each environment area, and recording the flow track, coverage area and contact mode of the airflow and the surface of equipment; monitoring external environment permeation influence information, and recording a diffusion path and an influence range of external temperature, humidity and other factors after entering through a tunnel ventilation opening and an entrance; integrating starting response state information captured by the distributed sensing nodes and component operation stability information acquired by the component built-in sensing units to form an equipment operation situation information set; And correspondingly associating air component change information, airflow movement state information and external environment permeation influence information with the equipment position according to the environment area, integrating to form an environment influence situation information set, and merging the equipment operation situation information set and the environment influence situation information set according to the time synchronization relationship to construct a comprehensive situation data set.
3. The operation and maintenance processing method of the tunnel intelligent fire protection system according to claim 1, wherein the establishing the interactive correlation feature of the equipment operation situation information and the environmental impact situation information based on the preset dynamic situation mapping model comprises the following steps: Acquiring historical interaction data of equipment operation and environmental change, wherein the historical interaction data comprises past equipment operation situation information, environmental influence situation information of a corresponding period and evolution result records of equipment operation states; Classifying historical interaction data according to the stability degree of equipment operation situation and the change strength of environmental influence situation to form a plurality of situation category groups; building a dynamic situation mapping model basic framework comprising three core layers of a situation input layer, an association processing layer and an evolution output layer, wherein each layer realizes information circulation through a data transmission channel; The historical interaction data of each situation category group is input into a situation input layer of a dynamic situation mapping model basic framework, and the historical interaction data are distributed to corresponding processing channels according to data types; Setting a situation association factor extraction unit at an association processing layer, and extracting interaction factors of each dimension index in equipment operation situation information and each association factor in environment influence situation information; analyzing evolution paths and change characteristics of the running states of the equipment under different environmental impact factor combinations based on the extracted interaction factors by an evolution rule mining unit of the association processing layer; Converting the evolution path and the change characteristics into association rules which can be identified by the model, wherein the association rules are used for determining the corresponding relation between the environmental impact situation change and the equipment operation situation evolution; adjusting the matching precision of the association rule by utilizing the evolution result record in the history interaction data to keep the association rule consistent with the actual evolution result; Embedding the adjusted association rule into an evolution output layer of the dynamic situation mapping model to complete the training process of the model; and inputting the equipment operation situation information and the environment influence situation information in the comprehensive situation data set into a trained dynamic situation mapping model, and establishing interactive association characteristics between the equipment operation situation information and the environment influence situation information through matching of association rules in the dynamic situation mapping model.
4. The operation and maintenance processing method of the tunnel intelligent fire protection system according to claim 1, wherein the generating a targeted operation and maintenance action sequence according to the cross-correlation feature comprises: analyzing the core action relation between the equipment operation situation information and the environment influence situation information in the interaction correlation characteristics, and separating out main environment influence factors causing the current operation state of the equipment and key operation dimensions of the equipment; Setting a core target of the operation and maintenance action based on a core action relation, wherein the core target is used for eliminating adverse effects of the environment, optimizing the running state of equipment or coordinating the adapting relation between the equipment and the environment; dividing the operation and maintenance action into a plurality of action categories according to a core target, wherein each action category corresponds to a specific action object, and the plurality of action categories comprise equipment adjustment operation, component maintenance operation and environment adaptation operation; Aiming at equipment adjustment operation, according to the key operation dimension of equipment in a core action relationship, an adjustment parameter and an operation mode are constructed, wherein the adjustment parameter corresponds to a core control index of equipment operation, and the operation mode is used for determining an execution flow of parameter adjustment; Aiming at component maintenance operation, combining component operation stability information in equipment operation situation information, and constructing a maintenance flow and an operation standard, wherein the maintenance flow comprises specific steps of component state improvement, and the operation standard is used for determining the maintained component operation state requirement; aiming at the environment adaptation operation, constructing an environment intervention mode and an execution path according to main environment influence factors in a core action relation, wherein the environment intervention mode is used for changing the influence states of adverse environment factors, and the execution path is used for determining the implementation sequence of the intervention operation; analyzing the mutual influence relation among various operation and maintenance actions, and judging the situation of synergistic effect or conflict when different operations are executed simultaneously; setting response priorities of various operation and maintenance actions based on emergency degree of situation change in the interactive correlation characteristics, and allocating priority execution sequences of the operation and maintenance actions corresponding to the situation change emergency; And supplementing the execution time interval and the connection requirement of each operation and maintenance action in the targeted operation and maintenance action sequence, wherein the connection requirement comprises a time node and an operation conversion condition from the completion of the previous operation to the start of the next operation.
5. The operation and maintenance processing method of the tunnel intelligent fire protection system according to claim 1, wherein the executing operation and maintenance action sequence and collecting the equipment operation update situation information and the environment influence update situation information after the execution of the action, inputting the equipment operation update situation information and the environment influence update situation information into a dynamic situation mapping model, optimizing the cross-correlation matching precision of the dynamic situation mapping model, comprises: Sequentially starting and executing equipment adjustment operation, component maintenance operation and environment adaptation operation according to the priority order and execution requirement in the operation and maintenance action sequence; In the execution process of each operation and maintenance action, deploying real-time monitoring equipment to capture process information of operation execution, wherein the process information comprises the execution progress of the operation, the actual effect acting on a target object and the environment change condition in the operation process; Continuously collecting equipment operation updating situation information after all operation and maintenance actions are executed, wherein the equipment operation updating situation information comprises an adjusted starting response state of equipment, component operation stability information and a function output state; Synchronously collecting environment influence update situation information, wherein the environment influence update situation information comprises air component change information, airflow movement state information and external environment penetration influence information in a tunnel after operation and maintenance operation; The method comprises the steps of correlating equipment operation updating situation information with environment influence updating situation information in time sequence to form an operation and maintenance feedback data set, and extracting key change indexes in the operation and maintenance feedback data set, wherein the key change indexes comprise improvement conditions of equipment operation situations, optimization conditions of environment influence situations and change conditions of interaction relations of the equipment operation situations and the environment influence situation; comparing the actual interaction relationship in the operation and maintenance feedback data set with the expected interaction relationship output by the dynamic situation mapping model, and identifying a difference point between the actual interaction relationship and the expected interaction relationship; Judging the reason type generated by the difference points, wherein the reason type comprises the matching deviation of the model association rule, the deviation of the operation and maintenance action execution or the deviation of situation information acquisition; according to the difference points and the generation reason types thereof, adjusting association rule parameters in the dynamic situation mapping model; and the dynamic situation mapping model after the association rule parameters are adjusted is used for establishing interaction association characteristics of the follow-up equipment operation situation information and the environment influence situation information.
6. The operation and maintenance processing method of the tunnel intelligent fire protection system according to claim 3, wherein the evolution rule mining unit through the association processing layer analyzes evolution paths and change characteristics of the equipment operation states under different environmental impact factor combinations based on the extracted interaction factors, and the operation and maintenance processing method comprises the following steps: Classifying and sorting the extracted interaction factors according to the environmental impact factor types and the equipment operation dimension to form factor classification sets, wherein each classification corresponds to a group of specific action relations between the environmental factors and the equipment dimension; Constructing a plurality of typical scenes according to different combination modes of core association factors, wherein each typical scene comprises a specific environment factor combination state; under each typical scene, simulating an initial change trend of the running state of the equipment based on the interaction factors in the factor classification set, wherein the initial change trend reflects the initial influence of the environmental factor combination on the running of the equipment; Tracking continuous change of the running state of the equipment in the simulation process, and recording the running parameter change condition of the equipment in each time stage to form a staged change record; according to the stepwise change record, an evolution path from an initial state to a stable state or a change termination state of the running state of the equipment is presented, and key change nodes in the evolution path are marked; analyzing the action intensity of environmental factors corresponding to key change nodes in an evolution path, and determining dominant environmental factors for promoting the change of the running state of equipment; extracting change characteristics of each evolution path, wherein the change characteristics comprise change rate, change amplitude, change reversibility and changed stable state characteristics; Comparing the evolution paths and the change characteristics of the combined scene of different environmental influence factors, and finding out the corresponding relation between scene differences and evolution differences; Integrating the evolution path, the key change nodes, the dominant environmental factors and the change characteristics to form an evolution rule description corresponding to each environmental influence factor combination; And converting the evolution rule description into a standardized rule expression form, so that the dynamic situation mapping model can identify and apply the corresponding evolution rule.
7. The operation and maintenance processing method of the tunnel intelligent fire protection system according to claim 4, wherein the constructing an environmental intervention mode and an execution path according to main environmental influence factors in a core action relation for the environment adaptation operation comprises: separating environmental factors which have adverse effects on the operation of the equipment from the core action relationship, and marking the influence range, the influence strength and the mode of acting on the equipment of each adverse environmental factor; analyzing the generated root and propagation path aiming at each adverse environmental factor, and setting an intervention direction capable of blocking the root or cutting off the propagation path; based on the intervention direction, constructing a corresponding environmental intervention mode, wherein the environmental intervention mode comprises a physical intervention mode, a chemical intervention mode or an air flow regulating mode, and each mode corresponds to a specific adverse environmental factor; Determining an implementation object of each environmental intervention mode, wherein the implementation object is a generation area of adverse environmental factors, a key node on a propagation path or an environmental area around equipment; constructing implementation parameters of the environmental intervention mode, wherein the implementation parameters comprise the intensity, duration, implementation frequency and implementation range of the intervention, and the implementation range covers an adverse influence area; analyzing the synergies among the environment intervention modes corresponding to the adverse environment factors, and judging the conditions of enhancing effect or mutual interference generated when different intervention modes are implemented simultaneously; based on the result of the collaborative analysis, ordering the environmental intervention modes, wherein the ordering rule is to preferentially implement the intervention modes which act on main adverse environmental factors and produce an enhancement effect in the collaborative analysis; Constructing an execution path of intervention operation, determining a starting sequence of each environmental intervention mode, implementation steps and a connection mode between operations, and configuring corresponding implementation equipment for each operation step in the execution path, wherein the implementation equipment is adapted to the requirements of the intervention modes; And integrating the environment intervention mode, the implementation object, the implementation parameter, the execution path and the corresponding implementation equipment to form an environment adaptation operation scheme.
8. The operation and maintenance processing method of the tunnel intelligent fire protection system according to claim 5, wherein the adjusting the association rule parameters in the dynamic situation mapping model according to the difference points and the generation reason types thereof comprises: Classifying according to the influence degree of the difference points on the operation and maintenance effect, and distinguishing the difference points with the influence degree higher than a preset threshold value from the difference points with the influence degree lower than the preset threshold value; aiming at the difference points with the influence degree higher than a preset threshold, judging the type of the generation reason of the difference points, and distinguishing parameter setting deviation of a model association rule, operation deviation in the operation and maintenance action execution process or data deviation in the situation information acquisition process; if the difference point is caused by parameter setting deviation of the model association rule, extracting the association rule corresponding to the difference point, and determining a parameter item which is not matched with the actual situation in the association rule; Based on the actual interaction relation in the operation and maintenance feedback data set, calculating a reasonable value range of the parameter item, and setting the reasonable value range as a new value constraint of the parameter item; If the difference point is caused by the operation and maintenance action execution deviation, analyzing the influence degree of the action execution deviation on the situation interaction relation, and reducing the numerical value of the weight parameter corresponding to the operation and maintenance action in the association rule according to the influence degree; If the difference points are caused by situation information acquisition deviation, identifying situation dimensions corresponding to the acquisition deviation, and reducing the action coefficient of parameters corresponding to the situation dimensions in the association rule; Aiming at the difference points with the influence degree lower than the preset threshold, according to the generation reason type, corresponding association rule parameters are adjusted in a mode lower than a first preset adjustment amplitude; In the parameter adjustment process, correcting the parameter adjustment direction according to the fit degree of the interaction correlation characteristics output by the dynamic situation mapping model and the actual interaction relation in the operation and maintenance feedback data set; after all parameter adjustment is completed, checking logic consistency among all association rule parameters, generating a parameter adjustment log, and recording the adjusted parameters, adjustment basis and adjustment amplitude.
9. A computer program product, characterized in that the computer program product comprises machine executable instructions stored in a computer readable storage medium, from which a processor of an operation and maintenance processing system of a tunnel intelligent fire protection system reads, the processor executing the machine executable instructions such that the operation and maintenance processing system of the tunnel intelligent fire protection system performs the operation and maintenance processing method of the tunnel intelligent fire protection system according to any one of claims 1 to 8.
10. An operation and maintenance processing system of a tunnel intelligent fire protection system is characterized by comprising: A processor; a machine-readable storage medium storing machine-executable instructions for the processor; wherein the processor is configured to perform the operation and maintenance processing method of the tunnel intelligent fire protection system of any one of claims 1 to 8 via execution of the machine executable instructions.

Description

Operation and maintenance processing method and system for tunnel intelligent fire-fighting system Technical Field The invention relates to the technical field of operation and maintenance of tunnel fire-fighting systems, in particular to an operation and maintenance processing method and system of a tunnel intelligent fire-fighting system. Background At the moment of increasingly heavy tunnel traffic, tunnel fire safety is of paramount importance. The tunnel is used as a relatively closed space, and if fire protection treatment cannot be effectively performed in case of emergency such as fire, serious casualties and property loss can be caused. Therefore, tunnel intelligent fire-fighting systems have been developed which aim to achieve real-time monitoring and rapid response to tunnel fire-fighting by intelligent means. However, the existing operation and maintenance treatment method of the tunnel fire-fighting system has a plurality of defects. On the one hand, the traditional operation and maintenance process is often started when the equipment has obvious faults or the environment reaches extreme conditions, and potential fire hazards cannot be found in time due to lack of initiative and foresight. For example, for some fire fighting equipment component aging problems, often replacement is performed after the equipment has failed completely, during which time the best maintenance opportunity may have been missed, increasing the risk of fire. On the other hand, existing operation and maintenance methods generally treat these two factors in isolation when processing equipment operation and environment changes, and do not fully consider the interaction effect between them. In fact, environmental factors in the tunnel, such as temperature, humidity, ventilation, etc., can directly affect the operation state of the fire-fighting equipment, and the operation of the equipment can also generate a certain feedback effect on the environment. In addition, the existing operation and maintenance actions lack pertinence and systematicness, and a reasonable operation and maintenance action sequence is not generated according to different situations, so that the operation and maintenance efficiency is low, and the stable operation of the tunnel intelligent fire-fighting system cannot be effectively guaranteed. Disclosure of Invention In view of the above-mentioned problems, in combination with the first aspect of the present invention, an embodiment of the present invention provides an operation and maintenance processing method of a tunnel intelligent fire protection system, where the method includes: receiving an operation and maintenance trigger signal and starting an interactive response flow of equipment operation, environment change and operation and maintenance actions, wherein the operation and maintenance trigger signal is derived from a preset condition triggered by abnormal equipment state feedback or tunnel environment change of a tunnel intelligent fire protection system; Acquiring equipment operation situation information of a tunnel intelligent fire protection system and tunnel internal environment influence situation information, and constructing a comprehensive situation data set, wherein the equipment operation situation information comprises function output state and component operation stability information of fire protection equipment, and the environment influence situation information comprises various environment factor related information influencing equipment operation in the tunnel; Establishing interactive correlation characteristics of equipment operation situation information and environment influence situation information based on a preset dynamic situation mapping model, wherein the dynamic situation mapping model is formed by training historical interaction data of equipment operation and environment change, and the interactive correlation characteristics reflect evolution rules of equipment operation states under different environment influences; Generating a targeted operation and maintenance action sequence according to the interactive association characteristics, wherein the operation and maintenance action sequence comprises equipment adjustment operation, component maintenance operation and environment adaptation operation for adapting to the current situation, and the operations are ordered according to situation response priorities; And executing an operation and maintenance action sequence, collecting equipment operation updating situation information and environment influence updating situation information after the action is executed, inputting the equipment operation updating situation information and the environment influence updating situation information into a dynamic situation mapping model, and optimizing the interactive association matching precision of the dynamic situation mapping model. In still another aspect, an embodiment of the present invention further provide