A security management method and device for a tunnel network

Abstract

The application belongs to the technical field of safety control, and particularly relates to a safety control method and device for a tunnel network. The safety control method analyzes abnormal interference data of each time period in history, collects the abnormal data, performs correlation matching in a historical database, obtains associated adjustment parameters, and then provides a reference basis for a same type of event that may occur in the future, directly references adjustment of a functional component and application parameters, and timely reacts and processes when an abnormal event occurs, so as to reduce problems of untimely adjustment and difficulty in reaching an expected effect caused by manual adjustment, provide adaptive adjustment, and constantly enrich adjustment strategies with data improvement.

Description

Technical Field

[0001] This invention belongs to the field of construction management and control technology, specifically relating to a method and device for the safety management and control of tunnel networks. Background Technology

[0002] Tunnel construction is a unique construction scenario. Compared to ordinary construction scenarios, tunnel construction carries higher risks and is more susceptible to various factors, making it highly prone to accidents. Furthermore, rescue operations within tunnels are difficult, on-site management is often delayed, and control systems cannot be immediately deployed, significantly increasing the risk of secondary accidents, economic losses, and negative social impacts. Therefore, building a timely and efficient tunnel safety management system is imperative. However, existing tunnel network safety management methods have shortcomings, including: 1. Due to the different road conditions inside tunnels compared to ordinary roads, the consequences of accidents involving cables and personnel are more severe. Existing technologies for tunnel management are flawed, repeatedly processing numerous similar events, which not only consumes manpower but also results in slow identification and processing of abnormal interference data, failing to achieve the desired effect and hindering rapid response from various adjustment components; 2. After acquiring abnormal data at the tunnel site, the process of manually identifying key information is cumbersome, prone to omissions and errors. There is a lack of accurate division of labor between events requiring human intervention and those that can be remotely adjusted. The independent processing in both directions results in poor coordination, making it difficult to meet adjustment needs in a timely manner. Summary of the Invention

[0003] In view of the above-mentioned shortcomings of the prior art, the present invention provides a security management method and device for tunnel networks, which can effectively solve the problems of the prior art.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0005] In a first aspect, the present invention provides a security management method for a tunnel network, comprising the following steps:

[0006] Information collection units are deployed in the target tunnel to acquire indicator data; the indicator data includes: cable information, cable temperature, lighting brightness, air visibility, smoke, tunnel temperature and noise level data.

[0007] Reasonable threshold ranges for each indicator data are preset in different time periods, and the data of each indicator are detected on-site in the tunnel.

[0008] Determine if there are any anomalies in the data of each indicator;

[0009] No abnormalities were found, and the system continued to operate according to the preset settings.

[0010] Abnormalities exist, alarms are given and emergency reports are sent to the field controller, and the synchronous submission management unit;

[0011] The abnormal parameters involved in the emergency report are analyzed, and the key features are extracted and identified;

[0012] The functional components that can be adjusted to eliminate abnormal data are marked and sent to the manual adjustment end for remote adjustment. For cases where the abnormal data cannot be adjusted to eliminate, an artificial intervention plan is edited and submitted to the management unit for adjustment;

[0013] Record historical interference data at each time period, as well as corresponding adjustment data and emergency plan data, to form a data pool, and extract data samples for simulation prediction model training;

[0014] Use the simulation prediction model to simulate interference event data on different weather states on future dates, send to the management unit, and output adaptive adjustment data and solutions based on historical data, as adjustment reference submitted to the management unit.

[0015] Further, in the step of deploying the information collection unit in the target tunnel, the deployment collection area of the target tunnel includes: tunnel entrance, tunnel midcourse, tunnel exit.

[0016] Further, in the step of deploying the information collection unit in the target tunnel, the information collection unit is embedded with an embedded core analysis unit and a wireless communication module. In the starting state, it can autonomously collect device operation data, state data and fault data, and can be transmitted to the upper management system through wired or wireless communication. The wireless communication module can realize data reception and control access of the tunnel collection device. The information collection unit supports devices including cable information detection components, carbon monoxide concentration and visibility detectors, combustible gas detectors, wind speed and direction detectors, fire fighting component controllers, ventilation component controllers, lighting component controllers and noise detectors.

[0017] Further, in the process of detecting each index data in the tunnel, the linkage video monitoring system confirms and runs the network fault detection mechanism, calculates the fault variable based on the current network environment, and displays it in real time. The calculation formula of the fault variable is:

[0018]

[0019] In the formula, K represents the fault variable; H represents the fault probability center point parameter; F represents the communication path parameter of the communication fault; Y represents the network matching degree parameter; Y0 represents the Bayesian network fault distribution probability.

[0020] Further, in the step of further dividing the time period and presetting the reasonable threshold range of each index data, the presetting method is: dividing the time interval, manually defining the parameters of the collected index one by one, and corresponding to the preset value respectively.

[0021] Further, in the step of sending to the manual adjustment end for remote adjustment, the process of remote adjustment of the manual adjustment end includes the following steps:

[0022] Adjusting the lighting function part according to the abnormality of the lighting brightness and the air visibility;

[0023] Adjusting the fire-fighting part according to the abnormality of the cable temperature, the temperature in the tunnel and the smoke data;

[0024] Adjusting the ventilation part according to the abnormality of the air quality.

[0025] Further, in the step of adjusting the abnormal data, the abnormal data that cannot be adjusted to eliminate the abnormal data includes: cable failure in the tunnel, equipment failure in the tunnel and personnel accident.

[0026] Further, the step of outputting the adaptive adjustment data and the scheme includes:

[0027] The management unit associates and matches according to the original parameters of the historical adjustment data and the emergency plan data;

[0028] The interference event data reaching the association degree of the association requirement can be connected with the historical adjustment data and the emergency plan data as the preliminary adjustment data and the preliminary emergency scheme;

[0029] When the prediction period is reached, the adaptive adjustment and sending are performed through the preliminary adjustment data and the preliminary emergency scheme.

[0030] Further, in the step of associating and matching, the error range reaching the association degree of the association requirement can be manually adjusted by manual intervention.

[0031] The second aspect of the application provides a safety management and control device of a tunnel network, which comprises:

[0032] An information collection unit is configured to acquire index data, and the index data includes cable temperature, lighting brightness, air visibility, smoke, temperature in the tunnel and noise index data;

[0033] A field control unit is configured to preset the reasonable threshold range of each index data in time periods, and detect each index data in the tunnel field.

[0034] It is judged whether the index data is abnormal or not;

[0035] If there is no abnormality, the device continuously operates according to the predetermined setting;

[0036] There are abnormalities, alarm and send emergency report to the field controller, synchronous delivery management unit;

[0037] The identification unit is used for analyzing the abnormal parameters involved in the emergency report, extracting and identifying the key features;

[0038] The function part that can be adjusted to eliminate abnormal data is marked and sent to the manual adjustment end for remote adjustment, and for the case that cannot be adjusted to eliminate abnormal data, the manual intervention plan is edited and submitted to the management unit for adjustment;

[0039] The interference data of each period of history, and the corresponding adjustment data and emergency plan data are recorded to form a data pool, and the data samples are extracted for simulation prediction model training;

[0040] The interference event data of the future date under different weather conditions is simulated by using the simulation prediction model, and is sent to the management unit, and the adaptive adjustment data and scheme are output in combination with the historical data, and are submitted to the management unit as adjustment reference.

[0041] Compared with the known prior art, the technical scheme provided by the present application has the following beneficial effects,

[0042] 1、The present application analyzes the abnormal interference data of each period of history, collects the abnormal data when it occurs, performs association matching in the historical database, obtains the associated adjustment parameters, and further provides a reference basis for the same type of event that may occur in the future, directly references the adjustment of the functional components and the application parameters, and timely reacts and processes when the abnormal event occurs, so as to reduce the problem that the adjustment is not timely and the adjustment is difficult to achieve the expected effect caused by manual adjustment, and to provide adaptive adjustment, and with the improvement of data, the adjustment strategy is continuously enriched.

[0043] 2、The present application reduces the difficulty of obtaining key information, shortens the processing period, improves the processing efficiency, and accurately classifies the events that can be adjusted on site and need human intervention, provides a reasonable two-way processing mechanism to avoid confusion in event processing, ensures a reasonable and orderly state, and submits an independent emergency plan for the events that need human intervention. DETAILED DESCRIPTION

[0044] The drawings accompanying the specification of this application form a part of the application and serve to provide further understanding of the present application, the illustrative embodiments of the present application and their descriptions serve to explain the present application, and do not constitute an improper limitation on the present application. In the drawings:

[0045] Figure 1 It is a flowchart of the safety control method of the tunnel network in the present application;

[0046] Figure 2 The flow chart of output adaptive adjustment data and scheme in the present application;

[0047] Figure 3 The flow chart of remote adjustment in the present application;

[0048] Figure 4 The frame chart of security management device of tunnel network in the present application;

[0049] The numbers in the figure respectively represent 1, management unit; 2, field control unit; 3, monitoring unit; 4, lighting unit; 5, ventilation unit; 6, fire-fighting unit; 7, information acquisition unit; 8, alarm unit; 9, emergency unit; 10, identification unit; 11, adaptive adjustment module. DETAILED DESCRIPTION

[0050] The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0051] The following detailed description is exemplary description and is intended to provide further detailed description of the present application. Unless otherwise specified, all technical terms used in the present application have the same meaning as generally understood by those skilled in the art to which the present application belongs. The terms used in the present application are only for the purpose of describing the specific embodiments and are not intended to limit the exemplary embodiments according to the present application.

[0052] The security management method of tunnel network in the present embodiment, as shown in Figure 1 includes the following steps:

[0053] Step 1: Deploy an information acquisition unit in the target tunnel to obtain index data; wherein the index data includes: cable information, cable temperature, lighting brightness, air visibility, smoke, temperature and noise index data in the tunnel.

[0054] Specifically, the deployment collection area of the target tunnel in step 1 includes: tunnel entrance, tunnel midcourse, and tunnel exit.

[0055] Specifically, the information collection unit in step 1 is embedded with an embedded core analysis unit and a wireless communication module. In the starting state, the device working data, state data and fault data are autonomously collected and can be transmitted to the upper management system through wired or wireless communication. The wireless communication module can realize data reception and control access of the tunnel collection equipment. The information collection unit supports equipment including cable information detection components, carbon monoxide concentration and visibility detectors, combustible gas detectors, wind speed and direction detectors, fire control component controllers, ventilation component controllers, lighting component controllers and noise detectors.

[0056] Step 2: Time period is divided to preset reasonable threshold range of each index data, and tunnel site detects each index data.

[0057] Specifically, in step 2, during the process of detecting each index data at the tunnel site, the linkage video monitoring system confirms and runs the network fault detection mechanism, calculates the fault variable under the current network environment based on the Bayesian network, and displays it in real time. The calculation formula of the fault variable is:

[0058]

[0059] In the formula, K represents the fault variable; H represents the fault probability center point parameter; F represents the communication path parameter of the communication fault; Y represents the network matching degree parameter; Y0 represents the Bayesian network fault distribution probability, which corresponds to the Bayesian network internal expected value, and reflects the maximum relationship of the communication network fault.

[0060] Specifically, the time period is divided in step 2, and the collected index is manually edited parameter by parameter, which is respectively used as a preset value.

[0061] Step 3: Determine whether each index data is abnormal.

[0062] Step 4: If there is no abnormality, continue to run according to the predetermined setting.

[0063] Step 5: If there is an abnormality, an alarm is given and an emergency report is sent to the site controller and the management unit.

[0064] Step 6: Analyze the abnormal parameters involved in the emergency report, extract and identify the key features.

[0065] Step 7: Mark the functional components that can be adjusted to eliminate abnormal data and send them to the manual adjustment end for remote adjustment. If the functional components cannot be adjusted to eliminate abnormal data, edit and submit a manual intervention plan to the management unit for adjustment.

[0066] Specifically, the step 7 cannot be adjusted to eliminate abnormal data, including: tunnel cable failure, tunnel equipment failure and personnel accident.

[0067] As a preferred embodiment in the present embodiment, as shown in Figure 2 The process of remote adjustment of manual adjustment end in step 7 includes the following steps:

[0068] Step 71: adjust the lighting function part when the lighting brightness and air visibility are abnormal;

[0069] Step 72: adjust the fire-fighting part when the cable temperature, tunnel temperature and smoke data are abnormal;

[0070] Step 73: adjust the ventilation part when the air quality is abnormal.

[0071] Step 8: record the historical interference data of each period, and the corresponding adjustment data and emergency plan data to form a data pool, and extract data samples for simulation prediction model training.

[0072] Step 9: use the simulation prediction model to simulate the interference event data in different weather states on future dates, send it to the management unit, cooperate with the historical data, output the adaptive adjustment data and scheme as the adjustment reference to the management unit.

[0073] As a preferred embodiment in the present embodiment, as shown in Figure 3 The process of outputting adaptive adjustment data and scheme in step 9 includes the following steps:

[0074] Step 91: the management unit associates and matches according to the original parameters of the historical adjustment data and emergency plan data; in the process of association and matching, the error range of the association degree that meets the association requirements can be manually adjusted by manual intervention.

[0075] Step 92: the interference event data that meets the association degree of the association requirements can be connected with the historical adjustment data and emergency plan data as the preliminary adjustment data and preliminary emergency scheme;

[0076] Step 93: when the prediction period is reached, the adaptive adjustment and sending are performed through the preliminary adjustment data and preliminary emergency scheme.

[0077] By analyzing historical anomaly data from various time periods, when anomalies are detected, correlation matching is performed within the historical database to obtain associated adjustment parameters. This provides a reference for future similar events and allows for direct referencing of adjustments and application parameters for functional components. This enables timely responses to anomalies, reducing delays and difficulties in achieving desired results due to manual adjustments. Adaptive adjustments are provided, and adjustment strategies are continuously enriched as data becomes more comprehensive. Key features of on-site collected anomalies are extracted and labeled to reduce the difficulty of obtaining critical information, shorten processing cycles, and improve efficiency. Furthermore, events that can be adjusted on-site and those requiring human intervention are accurately categorized, providing a reasonable two-way processing mechanism to avoid chaotic event handling and ensure a rational and orderly state. Independent emergency plans are submitted for events requiring human intervention.

[0078] Example 2

[0079] This embodiment also provides a security management and control device for tunnel networks, such as... Figure 4 As shown, it includes:

[0080] Information acquisition unit 7 is used to acquire index data, cable temperature, lighting brightness, air visibility, smoke, tunnel temperature and noise index data;

[0081] The on-site control unit 2 is used to preset reasonable threshold ranges for various indicator data in different time periods and to detect various indicator data on-site in the tunnel.

[0082] Determine if there are any anomalies in the indicator data;

[0083] No abnormalities were found, and the system continued to operate according to the preset settings.

[0084] If an anomaly is detected, an alarm will be triggered and an emergency report will be sent to the field controller, and simultaneously submitted to the management unit.

[0085] The identification unit 10 is used to analyze the abnormal parameters involved in the emergency report and extract and identify key features;

[0086] Mark functional components that can be adjusted to eliminate abnormal data and send them to the manual adjustment terminal for remote adjustment. For cases where abnormal data cannot be adjusted to eliminate it, edit and submit a manual intervention plan to the management unit to complete the adjustment.

[0087] Record historical interference data for each period, along with corresponding adjustment data and emergency response plan data, to form a data pool, and extract data samples to train the simulation prediction model;

[0088] The interference event data in different weather states on a future date is simulated by using a simulation prediction model, sent to the management unit, and combined with historical data to output adaptive adjustment data and a scheme as adjustment reference to the management unit.

[0089] Further, it further comprises:

[0090] The monitoring unit 3 is used to display the running state and alarm information of the tunnel site equipment in real time, and create switching between multiple screens to provide independent screens for key monitoring equipment to display all control information and running state of the site equipment in the tunnel;

[0091] The lighting unit 4 is arranged in the tunnel to receive adjustment instructions and make corresponding adjustments according to the lighting brightness, air visibility weather state and night conditions;

[0092] The ventilation unit 5 is arranged in the tunnel to receive adjustment instructions and make corresponding adjustments to the ventilation capacity according to the real-time ventilation state;

[0093] The fire unit 6 is arranged in the tunnel to receive adjustment instructions and make corresponding feedback to the fire warning behavior;

[0094] The alarm unit 8 is used to receive the collected data of the management unit 1 and send an alarm instruction when the collected data exceeds the preset range;

[0095] The emergency unit 9 is used to set an emergency scheme and submit it after triggering a corresponding abnormal event;

[0096] The adaptive adjustment module 11 is used to edit and send adaptive adjustment instructions according to the key features identified by the identification unit 10;

[0097] The management unit 1 and the site control unit 2 are connected through a wireless network, the site control unit 2 and the monitoring unit 3 are connected through a telecommunication signal, the site control unit 2 and the lighting unit 4, the ventilation unit 5 and the fire unit 6 are connected through a telecommunication signal, the information collection unit 7 and the lighting unit 4, the ventilation unit 5 and the fire unit 6 are connected through a telecommunication signal, the information collection unit 7 and the alarm unit 8 are connected through a wireless network, the alarm unit 8 and the emergency unit 9 are connected through a wireless network, the alarm unit 8 and the emergency unit 9 are connected through a wireless network, the emergency unit 9 and the identification unit 10 are connected through a wireless network, the identification unit 10 and the adaptive adjustment module 11 are connected through a wireless network, and the adaptive adjustment module 11 and the site control unit 2 are connected through a wireless network.

[0098] In the specific implementation of the embodiment, the management unit 1 is used for overall control of the whole, sending remote control, the on-site control unit 2 is deployed on the tunnel site, direct on-site control is performed, the monitoring unit 3 is used for monitoring the monitored site, the information acquisition unit 7 is used for acquiring various index parameters of the tunnel site, the lighting unit 4, the ventilation unit 5 and the fire-fighting unit 6 both have two operation modes, normal operation and emergency operation, when the information acquisition unit 7 acquires abnormal data, an alarm instruction is sent to the alarm unit 8, emergency response is performed through the emergency unit 9, the lighting unit 4, the ventilation unit 5 and the fire-fighting unit 6 perform emergency operation, and the identification unit 10 extracts key features in the alarm instruction, when the self-adaptive adjustment module 11 is triggered, historical data is called through the self-adaptive adjustment module 11, correlation matching is performed, data is directly submitted to the emergency unit 9 for response, and the lighting unit 4, the ventilation unit 5 and the fire-fighting unit 6 make corresponding emergency responses.

[0099] In summary, the abnormal interference data of each period in the history is analyzed, when abnormal data is acquired, correlation matching is performed in the historical database, the associated adjustment parameters are acquired, and a reference basis is provided for the same type of event that may occur in the future, the adjustment of the functional components and the application parameters are directly referenced, when the abnormal event occurs, timely response and processing are made, the problem that adjustment is not timely and adjustment is difficult to achieve the expected effect caused by manual adjustment is reduced, adaptive adjustment is provided, with the improvement of data, the adjustment strategy is continuously enriched, the key features of the abnormal data collected on the site are extracted and marked, the difficulty of acquiring key information is reduced, the processing cycle is shortened, the processing efficiency is improved, and the events that can be adjusted on site and need human intervention are accurately classified, a reasonable two-way processing mechanism is provided, so that the event processing is not chaotic, the reasonable and orderly state is ensured, and the independent emergency plan of the event that needs human intervention is submitted;

[0100] When the device is in operation, the management unit 1 is used for overall control of the whole, sending remote control, the on-site control unit 2 is deployed on the tunnel site, direct on-site control is performed, the monitoring unit 3 is used for monitoring the monitored site, the information acquisition unit 7 is used for acquiring various index parameters of the tunnel site, the lighting unit 4, the ventilation unit 5 and the fire-fighting unit 6 both have two operation modes, normal operation and emergency operation, when the information acquisition unit 7 acquires abnormal data, an alarm instruction is sent to the alarm unit 8, emergency response is performed through the emergency unit 9, the lighting unit 4, the ventilation unit 5 and the fire-fighting unit 6 perform emergency operation, and the identification unit 10 extracts key features in the alarm instruction, when the self-adaptive adjustment module 11 is triggered, historical data is called through the self-adaptive adjustment module 11, correlation matching is performed, data is directly submitted to the emergency unit 9 for response, and the lighting unit 4, the ventilation unit 5 and the fire-fighting unit 6 make corresponding emergency responses.

[0101] In the description of the present specification, the description of the terms "one embodiment", "an example", "a specific example" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Also, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in an appropriate manner.

[0102] It is apparent that the present application can be carried out in various modifications and alterations of the embodiments. Therefore, the above disclosed implementation is only for illustrative purpose and all modifications and alterations based on the concept of the present application are considered to be within the scope of the present application. Therefore, the scope of the present application should be gauged by the appended claims rather than the detailed description.

Claims

1. A security management and control method for tunnel networks, characterized in that, Includes the following steps: An information acquisition unit is deployed in the target tunnel to acquire indicator data, including cable information, cable temperature, lighting brightness, air visibility, smoke, tunnel temperature, and noise levels. The acquisition area in the target tunnel includes the tunnel entrance, tunnel mid-section, and tunnel exit. The information acquisition unit has a built-in embedded core analysis unit and a wireless communication module. In the activated state, it autonomously collects equipment operating data, status data, and fault data, and can transmit them to the upper-level management system via wired or wireless communication. The wireless communication module enables data reception and control access for the acquisition equipment in the tunnel. The information acquisition unit supports devices including cable information detection components, carbon monoxide concentration and visibility detectors, combustible gas detectors, wind speed and direction detectors, fire protection component controllers, ventilation component controllers, lighting component controllers, and noise detectors. Reasonable threshold ranges for each indicator data are preset in different time periods, and the data of each indicator are detected on the tunnel site. The method of preset in different time periods is as follows: divide the time interval, manually customize the parameters of each collected indicator, and use them as preset values ​​respectively. Determine if there are any anomalies in the data of each indicator; No abnormalities were found, and the system continued to operate according to the preset settings. If an anomaly is detected, an alarm will be triggered and an emergency report will be sent to the field controller, and simultaneously submitted to the management unit. Analyze the abnormal parameters involved in the emergency report, and extract and identify key features; Functional components whose abnormal data can be eliminated are marked and sent to the manual adjustment terminal for remote adjustment. For cases where abnormal data cannot be eliminated through adjustment, a manual intervention plan is edited and submitted to the management unit to complete the adjustment. Remote adjustments by the manual adjustment terminal include: adjusting lighting functional components for abnormal lighting brightness and air visibility; adjusting fire protection components for abnormal cable temperature, tunnel temperature, and smoke data; adjusting ventilation components for abnormal air quality; and situations where abnormal data cannot be eliminated through adjustment include: cable faults in the tunnel, equipment faults in the tunnel, and personnel accidents. Record historical interference data for each period, along with corresponding adjustment data and emergency response plan data, to form a data pool, and extract data samples to train the simulation prediction model; The simulation prediction model simulates interference event data under different weather conditions on future dates, sends it to the management unit, and, in conjunction with historical data, outputs adaptive adjustment data and plans, which are submitted to the management unit as adjustment references. The system outputs adaptive adjustment data and plans, including: the management unit performs correlation matching based on the original parameters of historical adjustment data and emergency plan data; interference event data that meet the correlation requirements can be connected to historical adjustment data and emergency plan data as reserve adjustment data and reserve emergency plans; when the predicted period is reached, adaptive adjustments are made and the data is sent through the reserve adjustment data and reserve emergency plans.

2. The security management and control method for tunnel networks according to claim 1, characterized in that, During the on-site monitoring of various indicators in the tunnel, the video surveillance system is used for confirmation, and a network fault detection mechanism is activated. Based on a Bayesian network, fault variables in the current network environment are calculated and displayed in real time. The formula for calculating the fault variables is as follows: K=H+ (Y- ) In the formula, K represents the fault variable; H represents the fault probability center point parameter; F represents the communication path parameter of the communication fault; and Y represents the network matching degree parameter. This represents the probability distribution of faults in a Bayesian network.

3. The security management method for tunnel networks according to claim 1, characterized in that, In the process of performing association matching, the error range of the association degree required to achieve the association can be manually adjusted by human intervention.

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