An intelligent health monitoring system for highway tunnel fire-fighting facilities

Abstract

The application belongs to the technical field of tunnel fire-fighting facility monitoring, and specifically discloses a highway tunnel fire-fighting facility intelligent health monitoring system, which comprises a fire-fighting interference information extraction and analysis module, a tunnel fire-fighting facility monitoring and analysis module, a tunnel ventilation facility monitoring and analysis module, a tunnel water supply facility monitoring and analysis module, a tunnel fire-fighting facility comprehensive analysis module and a fire-fighting facility analysis result feedback terminal. The application can effectively solve the limitations existing in the current conventional monitoring mode by monitoring and analyzing the three important support facilities of fire-fighting facilities, ventilation facilities and water supply facilities, and can enhance the strength of highway tunnel fire-fighting facility health monitoring, so as to greatly improve the reliability and credibility of the results of highway tunnel fire-fighting facility health monitoring, and to ensure the elimination efficiency of tunnel fire.

Description

Technical Field

[0001] This invention belongs to the field of tunnel fire protection facility monitoring technology, and relates to an intelligent health monitoring system for highway tunnel fire protection facilities. Background Technology

[0002] Compared to conventional road surfaces and bridge structures, highway tunnels are more enclosed, with smaller spaces and poorer lighting, ventilation, and climate. Therefore, in the event of a fire in an operational tunnel, it can easily cause traffic congestion, making it difficult to evacuate people and vehicles and hindering timely rescue efforts. The importance of monitoring the health of fire-fighting facilities within the tunnel, which are crucial for eliminating tunnel fires, is self-evident.

[0003] Highway tunnel fire protection facilities include fire hydrants, water supply pipes, etc. Because these facilities are installed in the harsh conditions of tunnels for extended periods, they are easily damaged. Current monitoring of highway fire protection facilities mainly focuses on the health status of equipment such as fire hydrants inside the fire hydrants, which is a conventional monitoring method with certain limitations. The following issues exist: 1. Smoke is the greatest hazard in highway tunnel fires. Currently, there is a lack of monitoring of smoke extraction and ventilation facilities, which cannot guarantee the safety of pedestrians in the event of a fire, nor can it provide reliable assistance to firefighters in their operations, thus failing to reduce the damage caused by tunnel fire accidents.

[0004] 2. Firefighting water supply is a crucial support for highway tunnel fire rescue. The quantity of water and the health of the water supply pipelines determine the fire extinguishing efficiency of tunnel fires. Currently, health monitoring of firefighting water supply only involves routine monitoring of fire water tanks and pipelines, without monitoring for fluctuations. However, the stability requirements of firefighting water supply are quite strict during firefighting, which means that the water supply in the later stages of firefighting cannot be effectively guaranteed. This makes it impossible to improve the rationality and accuracy of firefighting water supply health monitoring, and also fails to provide reliable water source support for subsequent firefighting operations.

[0005] 3. Currently, the health monitoring of fire protection facilities in highway tunnels is mainly carried out through personnel monitoring. However, fire protection equipment is numerous and scattered, and manual inspection is lagging behind. The monitoring intervals and delays are long, and the monitoring quality and inspection results are difficult to guarantee. Summary of the Invention

[0006] In view of this, in order to solve the problems mentioned in the background technology, an intelligent health monitoring system for fire protection facilities in highway tunnels is proposed.

[0007] The objective of this invention can be achieved through the following technical solution: This invention provides an intelligent health monitoring system for fire protection facilities in highway tunnels. The system includes a fire interference information extraction and analysis module, which is used to extract the length, average daily traffic flow, congestion rate, and number of historical accidents corresponding to the target highway tunnel. Based on this, the influence weight of the tunnel fire protection facility health assessment is set, denoted as β.

[0008] The tunnel fire extinguishing facility monitoring and analysis module is used to monitor the fire extinguishing facilities deployed in the target highway tunnel, obtain the status information of the fire extinguishing facilities in the target highway tunnel, and then analyze the fire extinguishing facility health assessment index, denoted as SZ.

[0009] The tunnel ventilation facility monitoring and analysis module is used to monitor the ventilation facilities deployed in the target highway tunnel, thereby obtaining the status information of the ventilation facilities in the target highway tunnel, and thus analyzing the ventilation facility health assessment index, denoted as PZ.

[0010] The tunnel water supply facility monitoring and analysis module is used to monitor the water supply facilities deployed in the target highway tunnel, obtain the status information of the water supply facilities in the target highway tunnel, and then analyze the health assessment index of the water supply facilities, denoted as LZ.

[0011] The tunnel fire protection facility comprehensive analysis module is used to comprehensively analyze the health status of the fire protection facilities in the target highway tunnel and obtain the health status of the fire protection facilities in the target highway tunnel.

[0012] The fire protection facility analysis result feedback terminal is used to provide feedback on the health status of the fire protection facilities in the target highway tunnel to the monitoring and management personnel of the target highway tunnel.

[0013] Preferably, the process of setting the health assessment impact weight of the tunnel fire protection facilities includes: denoting the length, average daily traffic flow, congestion rate, and number of historical accidents of the target highway tunnel as l, c, f, and y, respectively.

[0014] Based on the analysis formula The analysis yielded the tunnel fire health impact weight β, where a1, a2, a3, and a4 represent the tunnel health assessment proportion weights corresponding to the set tunnel length, traffic flow, congestion rate, and number of historical accidents, respectively. l′, c′, f′, and y′ represent the reference highway tunnel length, reference daily traffic flow, reference congestion rate, and reference number of accidents under the set controllable fire conditions, respectively. δ is the set fire health assessment correction factor.

[0015] Preferably, the fire-fighting facilities include fire-fighting equipment and fire-fighting water supply pipelines, and the specific monitoring process includes the following steps: using cameras installed in each fire box in the target highway tunnel to collect images of fire hydrants and fire hoses, and locating the defective area of ​​each fire hydrant and the defective area of ​​each fire hose from the collected images as the corresponding status information of the fire-fighting equipment.

[0016] Based on the location of each fire hydrant in the target highway tunnel, the water supply pipeline in the target highway tunnel is divided into various pipeline sections, and the maximum and minimum water supply pressures are set. The water supply pressure is monitored by a pressure sensor installed in the pump outlet.

[0017] When the water pressure is lower than the set minimum water pressure value, the water pump is started to supply water and pressurize it. When the water pressure reaches the maximum water pressure value, the water pump stops supplying water and pressurizing it. During the pressurization process, vibration signals are monitored by vibration sensors installed in each pipeline section at set monitoring time intervals. At the same time, after the pressurization is completed, vibration signals are monitored by vibration sensors installed in each pipeline section at set monitoring time intervals. The vibration signals monitored during each pressurization monitoring time period and after the pressurization is completed are obtained and used as the status information of the fire water supply pipeline.

[0018] Preferably, the fire-fighting facility health assessment index is obtained by analysis. The specific analysis process includes the following steps: locating the status information of the fire-fighting equipment from the status information of the fire-fighting facilities in the target highway tunnel, analyzing and obtaining the fire-fighting equipment health assessment index, and recording it as φ1.

[0019] The status information of the fire water supply pipeline is located from the status information of the fire-fighting facilities in the target highway tunnel. Then, the vibration signals monitored during each pressurization monitoring period and the end monitoring period after the pressurization of the water pump are extracted from each pipeline section. The health assessment index of the fire water supply pipeline is obtained by analysis and recorded as φ2.

[0020] Based on the analysis formula The analysis yielded the fire extinguishing facility health assessment index SZ, where e represents the natural constant and ξ is the set reference fire extinguishing facility health assessment correction factor.

[0021] Preferably, the health assessment index of the fire-fighting water supply pipeline includes the following steps in its analysis process: extracting the highest and lowest vibration signals from the vibration signals monitored during each pressurization monitoring time period of each pipeline section during the water pump pressurization process, and subtracting them to obtain the vibration signal amplitude corresponding to each pipeline section during each pressurization monitoring time period during the water pump pressurization process, denoted as A. it, i represents the pipeline segment number, i = 1, 2, ..., n, t represents the pressure monitoring time period number, t = 1, 2, ..., p;

[0022] The highest and lowest vibration signals are extracted from the vibration signals monitored at each end of the monitoring period after the water pump pressurization of each pipeline section. The difference between these signals is taken to obtain the vibration signal amplitude for each pipeline section at each end of the monitoring period after the water pump pressurization, denoted as A. i ′ t′ t′ represents the end monitoring period number, t′=1′,2′,......p′;

[0023] Based on the analysis formula Analysis yielded the leakage safety assessment index γ for each pipeline section. i γ i The value can be τ0, τ1, or τ2, where τ0>τ1>τ2>0, A0 and A1 are the set first permissible vibration amplitude threshold and second permissible vibration amplitude threshold, respectively, and A0<A1;

[0024] Based on the analysis formula The analysis yielded the health assessment index φ2 for fire water supply pipelines, where γ′ and σ represent the set reference leakage safety assessment index and the set correction factor for the health assessment of fire water supply pipelines, respectively.

[0025] Preferably, the ventilation facility includes an air supply facility and a smoke exhaust facility, wherein the status information corresponding to the air supply facility includes the wind speed corresponding to each air supply outlet and the gas flow rate monitored at each flow monitoring point in the air supply duct; the status information corresponding to the smoke exhaust facility includes the dust concentration, soiled area, smoke exhaust wind speed corresponding to each smoke exhaust outlet and the internal pressure monitored at each pressure monitoring point in the smoke exhaust duct.

[0026] Preferably, the analysis yields the health assessment index of the ventilation facility. The specific analysis process is as follows: extract the status information of the air supply facility from the status information of the ventilation facility in the target highway tunnel, and then extract the wind speed corresponding to each air outlet and the gas flow rate monitored at each flow monitoring point in the air supply duct, denoted as v. g and ql d g represents the air outlet number, g = 1, 2, ... u, and d represents the flow monitoring point number, d = 1, 2, ... m.

[0027] Based on the analysis formula The analysis yields the air supply facility health assessment index ψ1, where K1, K2, and K3 represent the weights of the air supply facility health assessment corresponding to the set minimum wind speed deviation, maximum wind speed deviation, and gas flow rate deviation, respectively. min v maxql′ represents the set minimum supply air velocity, maximum supply air velocity, and reference gas flow rate, respectively.

[0028] The dust concentration, contaminated area, exhaust velocity, and internal pressure at each pressure monitoring point in the exhaust duct are extracted from the status information of the ventilation facilities of the target highway tunnel. The resulting health assessment index of the exhaust facilities is denoted as ψ2.

[0029] Based on the analysis formula The analysis yielded the ventilation facility health assessment index PZ, where η1 and η2 represent the weights of the ventilation facility assessment corresponding to the set health of the air supply facility and the smoke exhaust facility, respectively. The set ventilation facility evaluation correction factor.

[0030] Preferably, the target highway tunnel water supply facility includes a high-level water tank and a low-level water tank. The status information of the high-level water tank includes the water level height and apparent defect level of the high-level water tank during each water level monitoring period. The status information of the low-level water tank includes the water level height, outlet water pressure, outlet water flow rate and apparent defect level of the low-level water tank during each water level monitoring period.

[0031] Preferably, the health assessment index of the water supply facility is obtained through analysis. The specific analysis process includes the following steps: extracting the water level height of the elevated water tank and the apparent defect degree of the elevated water tank in each water level monitoring period from the status information of the target highway tunnel water supply facility, denoted as h respectively. r and X 高 r represents the water level monitoring time period number, r = 1, 2, ..., z.

[0032] The highest and lowest water levels are extracted from the water level in the high-level pool during each water level monitoring period. The difference between the highest and lowest water levels is then calculated to obtain the extreme water level difference, denoted as Δh0.

[0033] Based on the analysis formula Analysis yielded the health assessment index of the elevated water tank. F1 and F2 represent the assessment weights corresponding to the set water level height and water level deviation, respectively; h′ and Δh0′ represent the suitable water level height and permissible water level extreme difference corresponding to the set high-level water tank, respectively; and ε1 is the set health assessment correction factor for the high-level water tank.

[0034] The water level height, outlet water pressure, outlet flow rate, and apparent defect degree of the low-level water tank at each water level monitoring time period are extracted from the status information of the water supply facilities of the target highway tunnel. These are denoted as h. r ′、N r qr and X 低 .

[0035] By comparing the water level heights of the low-level water tank during each monitoring period, the water level height difference between the monitoring periods is obtained. The maximum water level height difference is extracted as the water level fluctuation value, denoted as h. 波 .

[0036] The lowest and highest outflow water pressures are extracted from the outflow water pressures corresponding to each water level monitoring period in the low-level water tank. Based on this, a water pressure stability weighting factor is set, denoted as κ1.

[0037] The minimum and maximum outflow rates are extracted from the outflow rates corresponding to each water level monitoring period in the low-level water tank. Based on this, an outflow rate stability weighting factor is set, denoted as κ2.

[0038] Based on the analysis formula

[0039] Analysis yielded the health assessment index of the low-level water tank. F3, F4, F5, and F6 represent the weightings of the low-level water tank health assessment corresponding to the set water level height, water level fluctuation, outlet pressure, and outlet flow rate, respectively. h″ and h′ are also relevant. 波 N0 and q0 represent the permissible water level deviation, water level height threshold, permissible water level fluctuation value, reference outlet pressure, and reference outlet flow rate for the set low-level water tank, respectively, and ε2 is the set low-level water tank health assessment correction factor.

[0040] Based on the analysis formula The analysis yielded the water supply facility health assessment index LZ. F7 and F8 represent the weights of the water supply facility health assessment corresponding to the health of the high-level water tank and the health of the low-level water tank, respectively. ε3 is the set correction factor for the water supply facility health assessment index.

[0041] Preferably, the comprehensive analysis of the health status of the fire protection facilities in the target highway tunnel includes the following specific analysis process: extracting the influence weight β of the tunnel fire protection facility health assessment, the fire extinguishing facility health assessment index SZ, the ventilation facility health assessment index PZ, and the water supply facility health assessment index LZ.

[0042] According to the calculation formula The comprehensive health assessment index FA of the fire protection facilities corresponding to the target highway tunnel is calculated. μ1, μ2, and μ3 represent the assessment weights of the set fire-fighting facilities, ventilation facilities, and water supply facilities, respectively. ζ is the set fire protection facility health assessment correction factor. SZ′, PZ′, and LZ′ are the fire health assessment indices of the set reference fire-fighting facilities, ventilation facilities, and water supply facilities, respectively.

[0043] The comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is compared with the set first health assessment index threshold. If the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is greater than the first health assessment index threshold, the health status of the fire protection facilities is determined to be normal.

[0044] If the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is less than the first health assessment index threshold, then the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is compared with the set second health assessment index threshold. If the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is greater than the set second health assessment index threshold, then the health status of the fire protection facilities is a potential hazard; otherwise, the health status of the fire protection facilities is determined to be a dangerous state.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention effectively solves the limitations of the current conventional monitoring method by monitoring and analyzing the three important support facilities for the construction of tunnel fire protection, namely fire-fighting facilities, ventilation facilities and water supply facilities. This enhances the strength of health monitoring of highway tunnel fire protection facilities, thereby greatly improving the reliability and credibility of the results of health monitoring of highway tunnel fire protection facilities, and also ensures the effectiveness of health monitoring of highway tunnel fire protection facilities, providing a reliable foundation for subsequent tunnel fire rescue, thereby ensuring the efficiency of tunnel fire suppression.

[0046] (2) This invention effectively eliminates the lag in human monitoring by automating the monitoring of the health of fire protection facilities in highway tunnels, realizes continuous monitoring of fire protection facilities in highway tunnels, effectively ensures the quality of health monitoring of fire protection facilities in highway tunnels, and improves the effect and efficiency of health monitoring of fire protection facilities in highway tunnels. At the same time, through the automated monitoring method, the monitoring coverage is wider, the utilization rate of subsequent monitoring data is higher, and it also lays the groundwork for the later maintenance of fire protection facilities in highway tunnels.

[0047] (3) By monitoring and analyzing the health of smoke exhaust facilities and ventilation facilities, this invention effectively makes up for the current lack of monitoring of smoke exhaust and ventilation levels. In the event of a tunnel fire, it provides strong protection for the safety of tunnel personnel and provides reliable assistance for firefighters. This greatly reduces the damage caused by tunnel fire accidents and the workload and difficulty of subsequent tunnel repairs.

[0048] (4) By monitoring and analyzing the water supply facilities, this invention realizes the dynamic monitoring of the water supply facilities in highway tunnels, expands the basis for fire water supply analysis, and thus greatly improves the rationality, scientificity and accuracy of the health monitoring of fire water supply facilities, providing reliable water source support for subsequent fire operations. Attached Figure Description

[0049] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 This is a schematic diagram showing the connections of the various modules in the system of the present invention. Detailed Implementation

[0051] The following description, in conjunction with the implementation of the present invention, is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

[0052] Please see Figure 1 As shown, the present invention provides an intelligent health monitoring system for fire protection facilities in highway tunnels, including a fire interference information extraction and analysis module, a tunnel fire-fighting facility monitoring and analysis module, a tunnel ventilation facility monitoring and analysis module, a tunnel water supply facility monitoring and analysis module, a tunnel fire protection facility comprehensive analysis module, and a fire protection facility analysis result feedback terminal.

[0053] The tunnel fire protection facility comprehensive analysis module is connected to the fire interference information extraction and analysis module, the tunnel fire extinguishing facility monitoring and analysis module, the tunnel ventilation facility monitoring and analysis module, the tunnel water supply facility monitoring and analysis module, and the fire protection facility analysis result feedback terminal.

[0054] The fire interference information extraction and analysis module is used to extract the length, average daily traffic flow, congestion rate, and number of historical accidents corresponding to the target highway tunnel, thereby setting the influence weight of the tunnel fire protection facility health assessment, denoted as β.

[0055] Specifically, the process of setting the weights for the health assessment of tunnel fire protection facilities includes: denoting the length, average daily traffic flow, congestion rate, and number of historical accidents of the target highway tunnel as l, c, f, and y, respectively.

[0056] Based on the analysis formula The analysis yielded the tunnel fire health impact weight β, where a1, a2, a3, and a4 represent the tunnel health assessment proportion weights corresponding to the set tunnel length, traffic flow, congestion rate, and number of historical accidents, respectively. l′, c′, f′, and y′ represent the reference highway tunnel length, reference daily traffic flow, reference congestion rate, and reference number of accidents under the set controllable fire conditions, respectively. δ is the set fire health assessment correction factor.

[0057] The tunnel fire-fighting facility monitoring and analysis module is used to monitor the fire-fighting facilities deployed in the target highway tunnel, obtain the status information of the fire-fighting facilities in the target highway tunnel, and thereby analyze and obtain the fire-fighting facility health assessment index, denoted as SZ.

[0058] Specifically, fire-fighting facilities include fire-fighting equipment and fire-fighting water supply pipelines. The specific monitoring process includes the following steps: using cameras installed in each fire box inside the target highway tunnel to collect images of fire hydrants and fire hoses, and locating the defective areas of each fire hydrant and each fire hose from the collected images as the corresponding status information of the fire-fighting equipment.

[0059] Based on the location of each fire hydrant in the target highway tunnel, the water supply pipeline in the target highway tunnel is divided into various pipeline sections, and the maximum and minimum water supply pressures are set. The water supply pressure is monitored by a pressure sensor installed in the pump outlet.

[0060] When the water pressure is lower than the set minimum water pressure value, the water pump is started to supply water and pressurize it. When the water pressure reaches the maximum water pressure value, the water pump stops supplying water and pressurizing it. During the pressurization process, vibration signals are monitored by vibration sensors installed in each pipeline section at set monitoring time intervals. At the same time, after the pressurization is completed, vibration signals are monitored by vibration sensors installed in each pipeline section at set monitoring time intervals. The vibration signals monitored during each pressurization monitoring time period and after the pressurization is completed are obtained and used as the status information of the fire water supply pipeline.

[0061] Furthermore, the health assessment index of the fire-fighting facilities is obtained through analysis. The specific analysis process includes the following steps: locating the status information of the fire-fighting equipment from the status information of the fire-fighting facilities in the target highway tunnel, analyzing and obtaining the health assessment index of the fire-fighting equipment, and recording it as φ1.

[0062] It should be noted that the analysis yielded the fire-fighting equipment health assessment index. The specific analysis process included: extracting the defective area of ​​each fire hydrant and the defective area of ​​each fire hose from the corresponding status information of the fire-fighting equipment, which were denoted as S0. j and S1 xj represents the fire hydrant number, j = 1, 2, ..., m, and x represents the fire hose number, x = 1, 2, ..., w.

[0063] Based on the analysis formula The analysis yields the fire-fighting equipment health assessment index φ1, where E1 and E2 represent the weighted proportions of the health assessment corresponding to the set fire hydrant defect area and fire hose defect area, respectively, and S0′ and S1′ represent the set reference fire hydrant defect area and fire hose defect area, respectively.

[0064] The status information of the fire water supply pipeline is located from the status information of the fire-fighting facilities in the target highway tunnel. Then, the vibration signals monitored during each pressurization monitoring period and the end monitoring period after the pressurization of the water pump are extracted from each pipeline section. The health assessment index of the fire water supply pipeline is obtained by analysis and recorded as φ2.

[0065] Understandably, the health assessment index for fire-fighting water supply pipelines involves the following steps: extracting the highest and lowest vibration signals from the vibration signals monitored during each pressurization monitoring period of each pipeline section during the pump pressurization process, and subtracting them to obtain the vibration signal amplitude corresponding to each pipeline section during each pressurization monitoring period, denoted as A. it , i represents the pipeline segment number, i = 1, 2, ..., n, t represents the pressure monitoring time period number, t = 1, 2, ..., p;

[0066] The highest and lowest vibration signals are extracted from the vibration signals monitored at each end of the monitoring period after the water pump pressurization of each pipeline section. The difference between these signals is taken to obtain the vibration signal amplitude for each pipeline section at each end of the monitoring period after the water pump pressurization, denoted as A. i ′ t′ t′ represents the end monitoring period number, t′=1′,2′,......p′;

[0067] Based on the analysis formula Analysis yielded the leakage safety assessment index γ for each pipeline section. i γ i The value can be τ0, τ1, or τ2, where τ0>τ1>τ2>0, A0 and A1 are the set first permissible vibration amplitude threshold and second permissible vibration amplitude threshold, respectively, and A0<A1;

[0068] Based on the analysis formula The analysis yielded the health assessment index φ2 for fire water supply pipelines, where γ′ and σ represent the set reference leakage safety assessment index and the set correction factor for the health assessment of fire water supply pipelines, respectively.

[0069] Based on the analysis formula The analysis yielded the fire extinguishing facility health assessment index SZ, where e represents the natural constant and ξ is the set reference fire extinguishing facility health assessment correction factor.

[0070] This invention improves the accuracy of leak detection by monitoring the vibration frequency of the water pipeline during the pressurization process, thereby significantly enhancing the timeliness of leak detection and handling, and providing strong support for the stability of subsequent fire-fighting pipeline transportation.

[0071] The tunnel ventilation facility monitoring and analysis module is used to monitor the ventilation facilities deployed in the target highway tunnel, thereby obtaining the status information of the ventilation facilities in the target highway tunnel, and thus analyzing the ventilation facility health assessment index, denoted as PZ.

[0072] Specifically, the ventilation facilities include air supply facilities and smoke exhaust facilities. The status information of the air supply facilities includes the wind speed at each air supply outlet and the gas flow rate monitored at each flow monitoring point in the air supply duct. The status information of the smoke exhaust facilities includes the dust concentration, soiled area, smoke exhaust wind speed at each smoke exhaust outlet and the internal pressure monitored at each pressure monitoring point in the smoke exhaust duct.

[0073] It should be noted that the airflow and smoke volume are monitored by the pipeline gas flow meter, the air velocity at the air supply outlet and the smoke exhaust outlet are monitored by the wind speed sensor, the dust concentration is monitored by the dust concentration sensor, the contaminated area is monitored by the high-definition camera inside the tunnel, and the internal pressure is monitored by the fiber optic grating sensor. The use of an external fiber optic grating sensor can reduce monitoring errors and is also easy to replace.

[0074] Furthermore, the health assessment index of the ventilation facilities was obtained through analysis. The specific analysis process was as follows: extracting the status information of the air supply facilities from the status information of the ventilation facilities in the target highway tunnel, and then extracting the wind speed corresponding to each air outlet and the gas flow rate monitored at each flow monitoring point in the air supply duct, which were denoted as v. g and ql d g represents the air outlet number, g = 1, 2, ... u, and d represents the flow monitoring point number, d = 1, 2, ... m.

[0075] Based on the analysis formula The analysis yields the air supply facility health assessment index ψ1, where K1, K2, and K3 represent the weights of the air supply facility health assessment corresponding to the set minimum wind speed deviation, maximum wind speed deviation, and gas flow rate deviation, respectively. min v maxql′ represents the set minimum supply air velocity, maximum supply air velocity, and reference gas flow rate, respectively.

[0076] The dust concentration, contaminated area, exhaust velocity, and internal pressure at each pressure monitoring point in the exhaust duct are extracted from the status information of the ventilation facilities of the target highway tunnel. The resulting health assessment index of the exhaust facilities is denoted as ψ2.

[0077] It should be noted that the analysis yielded the health assessment index for the smoke exhaust system. The specific analysis process included the following steps: The dust concentration, soiled area, and exhaust velocity corresponding to each smoke exhaust outlet were recorded as (hn). g′ (ws) g′ and v′ g′ g′ represents the exhaust port number, g′=1′,2′,......u′.

[0078] Based on the analysis formula The analysis yielded the smoke exhaust outlet health assessment index λ1. K4, K5, K6, and K7 represent the assessment weights corresponding to the set dust concentration, soiled area, minimum smoke exhaust velocity difference, and maximum smoke exhaust velocity difference, respectively. hn′, ws′, and v′ are also mentioned. min v′ max These represent the set permissible dust concentration, permissible contamination area, minimum reference smoke exhaust velocity, and maximum reference smoke exhaust velocity, respectively, with α1 being the set smoke exhaust outlet health assessment correction factor.

[0079] The internal pressure monitored at each pressure monitoring point in the flue gas duct is denoted as P. d′ d′ represents the pressure monitoring point number, d′=1′,2′,......m′, according to the analysis formula The analysis yielded the smoke exhaust duct health assessment index λ2, where P0 is the set internal reference pressure of the smoke exhaust duct, and α2 is the set smoke exhaust duct health assessment correction factor.

[0080] Based on the analysis formula The analysis yielded the smoke exhaust facility health assessment index ψ2, where e represents a natural constant, and K8 and K9 represent the set weights for the health assessment of the smoke exhaust outlet and the smoke exhaust duct, respectively.

[0081] Based on the analysis formula The analysis yielded the ventilation facility health assessment index PZ, where η1 and η2 represent the weights of the ventilation facility assessment corresponding to the set health of the air supply facility and the smoke exhaust facility, respectively. The set ventilation facility evaluation correction factor.

[0082] This invention effectively compensates for the current deficiencies in monitoring smoke exhaust and ventilation systems by monitoring and analyzing their health. This provides strong protection for the safety of tunnel personnel when a fire occurs, and also provides reliable assistance to firefighters in their firefighting operations. As a result, it significantly reduces the damage caused by tunnel fires and the workload and difficulty of subsequent tunnel repairs.

[0083] The tunnel water supply facility monitoring and analysis module is used to monitor the water supply facilities deployed in the target highway tunnel, obtain the status information of the water supply facilities in the target highway tunnel, and then analyze the health assessment index of the water supply facilities, denoted as LZ.

[0084] Specifically, the target highway tunnel water supply facility includes a high-level water tank and a low-level water tank. The status information of the high-level water tank includes the water level height and apparent defect level of the high-level water tank during each water level monitoring period. The status information of the low-level water tank includes the water level height, outlet water pressure, outlet water flow rate and apparent defect level of the low-level water tank during each water level monitoring period.

[0085] It should be noted that the water level is monitored by an ultrasonic level gauge, the outflow rate is monitored by a flow meter installed in the outlet of the low-level water tank, the outflow pressure is monitored by a pressure sensor installed in the outlet of the low-level water tank, and surface defects are monitored by a high-definition network monitoring camera.

[0086] It should be noted that the specific monitoring process for the apparent defects of the high-level water tank includes the following steps: images of the appearance of the high-level water tank are acquired using a high-definition network monitoring camera, and the number of cracks, the area of ​​each crack, the number of defects, and the area of ​​each defect are located from the acquired images.

[0087] The number of cracks and the number of defects are denoted as M0 and M1, respectively. The areas corresponding to each crack are summed to obtain the total crack area, denoted as LS. The highest defect area is extracted from the area corresponding to each defect and denoted as QS.

[0088] Defect degree calculation formula The high-level apparent defect degree is calculated, where B1, B2, B3, and B4 represent the defect assessment weights corresponding to the set number of cracks, number of defects, crack area, and defect area, respectively. M0′, M1′, LS′, and QS′ represent the set number of warning cracks, number of warning defects, total warning crack area, and warning defect area, respectively. H is a set constant, where H>1. This is a defect assessment correction factor. Similarly, the apparent defect degree corresponding to the low-level water tank is obtained and denoted as X. 低.

[0089] Furthermore, the health assessment index of the water supply facility was obtained through analysis. The specific analysis process included the following steps: extracting the water level height of the elevated water tank and the apparent defect degree of the elevated water tank in each water level monitoring period from the status information of the target highway tunnel water supply facility, denoted as h respectively. r and X 高 r represents the water level monitoring time period number, r = 1, 2, ..., z.

[0090] The highest and lowest water levels are extracted from the water level in the high-level pool during each water level monitoring period. The difference between the highest and lowest water levels is then calculated to obtain the extreme water level difference, denoted as Δh0.

[0091] Based on the analysis formula Analysis yielded the health assessment index of the elevated water tank. F1 and F2 represent the assessment weights corresponding to the set water level height and water level deviation, respectively; h′ and Δh0′ represent the suitable water level height and permissible water level extreme difference corresponding to the set high-level water tank, respectively; and ε1 is the set health assessment correction factor for the high-level water tank.

[0092] The water level height, outlet water pressure, outlet flow rate, and apparent defect degree of the low-level water tank at each water level monitoring time period are extracted from the status information of the water supply facilities of the target highway tunnel. These are denoted as h. r ′、N r q r and X 低 .

[0093] By comparing the water level heights of the low-level water tank during each monitoring period, the water level height difference between the monitoring periods is obtained. The maximum water level height difference is extracted as the water level fluctuation value, denoted as h. 波 .

[0094] The lowest and highest outlet water pressures were extracted from the outlet water pressures corresponding to each water level monitoring period in the low-level water tank, and denoted as N respectively. min and N max Set a water pressure stability weight factor, denoted as κ1.

[0095] It should be noted that, κ1 represents the water pressure stability weighting factor of the low-level water tank, and ΔN is the set peak-to-valley difference of the allowable outflow water pressure.

[0096] The minimum and maximum outflow rates were extracted from the outflow rates corresponding to each water level monitoring period in the low-level water tank, and denoted as q. min and q maxSet a stable weighting factor for the outflow rate, denoted as κ2.

[0097] It should be noted that, κ2 represents the stability weighting factor for the outflow of water from the low-level water tank, and Δq is the set peak-to-valley difference in the permissible outflow.

[0098] Based on the analysis formula Analysis yielded the health assessment index of the low-level water tank. F3, F4, F5, and F6 represent the weightings of the low-level water tank health assessment corresponding to the set water level height, water level fluctuation, outlet pressure, and outlet flow rate, respectively. h″ and h′ are also relevant. 波 N0 and q0 represent the permissible water level deviation, water level height threshold, permissible water level fluctuation value, reference outlet pressure, and reference outlet flow rate for the set low-level water tank, respectively, and ε2 is the set low-level water tank health assessment correction factor.

[0099] Based on the analysis formula The analysis yielded the water supply facility health assessment index LZ. F7 and F8 represent the weights of the water supply facility health assessment corresponding to the health of the high-level water tank and the health of the low-level water tank, respectively. ε3 is the set correction factor for the water supply facility health assessment index.

[0100] This invention, through monitoring and analysis of water supply facilities, achieves dynamic monitoring of water supply facilities in highway tunnels, expands the basis for fire-fighting water supply analysis, and thus significantly improves the rationality, scientificity, and accuracy of health monitoring of fire-fighting water supply facilities, providing reliable water source support for subsequent fire-fighting operations.

[0101] The tunnel fire protection facility comprehensive analysis module is used to comprehensively analyze the health status of the fire protection facilities in the target highway tunnel and obtain the health status of the fire protection facilities in the target highway tunnel.

[0102] Specifically, a comprehensive analysis of the health status of fire protection facilities in the target highway tunnel is conducted. The specific analysis process includes: extracting the influence weight β of the tunnel fire protection facility health assessment, the fire extinguishing facility health assessment index SZ, the ventilation facility health assessment index PZ, and the water supply facility health assessment index LZ.

[0103] According to the calculation formula The comprehensive health assessment index FA of the fire protection facilities corresponding to the target highway tunnel is calculated. μ1, μ2, and μ3 represent the assessment weights of the set fire-fighting facilities, ventilation facilities, and water supply facilities, respectively. ζ is the set fire protection facility health assessment correction factor. SZ′, PZ′, and LZ′ are the fire health assessment indices of the set reference fire-fighting facilities, ventilation facilities, and water supply facilities, respectively.

[0104] The comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is compared with the set first health assessment index threshold. If the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is greater than the first health assessment index threshold, the health status of the fire protection facilities is determined to be normal.

[0105] If the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is less than the first health assessment index threshold, then the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is compared with the set second health assessment index threshold. If the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is greater than the set second health assessment index threshold, then the health status of the fire protection facilities is a potential hazard; otherwise, the health status of the fire protection facilities is determined to be a dangerous state.

[0106] The fire protection facility analysis result feedback terminal is used to feed back the health status of the fire protection facilities in the target highway tunnel to the monitoring and management personnel of the target highway tunnel.

[0107] This invention, through monitoring and analysis of three crucial support facilities for tunnel fire protection operations—fire extinguishing systems, ventilation systems, and water supply systems—effectively addresses the limitations of conventional monitoring methods, enhancing the effectiveness of health monitoring of highway tunnel fire protection facilities. This significantly improves the reliability and credibility of monitoring results, ensuring the effectiveness of monitoring and providing a reliable foundation for subsequent tunnel fire rescue, thereby guaranteeing efficient fire suppression. Furthermore, by automating the monitoring of fire protection facilities within highway tunnels, the invention eliminates the lag inherent in manual monitoring, enabling continuous monitoring and ensuring the quality and efficiency of health monitoring. The automated monitoring method also provides broader coverage, higher utilization of subsequent monitoring data, and lays the groundwork for future maintenance of fire protection facilities within highway tunnels.

[0108] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

Claims

1. A highway tunnel fire-fighting facility intelligent health monitoring system, characterized in that: The system includes: The fire interference information extraction and analysis module is used to extract the length, average daily traffic flow, congestion rate, and historical accident count of the target highway tunnel. Based on this, the influence weight for the health assessment of the tunnel's fire protection facilities is set, denoted as... ; The tunnel fire extinguishing facility monitoring and analysis module is used to monitor the fire extinguishing facilities deployed in the target highway tunnel, obtain the status information of the fire extinguishing facilities within the target highway tunnel, and analyze it to obtain the fire extinguishing facility health assessment index, denoted as... ; Among them, the status information corresponding to the fire-fighting facilities includes the status information corresponding to the fire-fighting equipment and the status information corresponding to the fire-fighting water supply pipeline. The status information corresponding to the fire-fighting water supply pipeline includes each pipeline section during the pressurization process of the water pump and each vibration signal monitored during the end monitoring period after the water pump pressurization is completed. The assessment process for the fire extinguishing facility health assessment index includes: Locate the state information corresponding to the fire-fighting equipment from the state information corresponding to the fire-fighting facilities in the target highway tunnel, analyze to obtain a health evaluation index of the fire-fighting equipment, and record as ; The status information of the fire-fighting water supply pipeline is located from the status information of the fire-fighting facilities inside the target highway tunnel. Then, vibration signals are extracted from each pipeline section during the pressurization process and at the end of the pressurization period. By combining the vibration signals during and after the pressurization process, a health assessment index for the fire-fighting water supply pipeline is obtained and denoted as follows: ; Based on the analysis formula Analysis yielded the fire extinguishing facility health assessment index e represents the natural constant. The set reference fire extinguishing facility health assessment correction factor; The tunnel ventilation facility monitoring and analyzing module is configured to monitor the ventilation facility arranged in the target highway tunnel, and obtain the state information of the ventilation facility of the target highway tunnel, thereby analyzing the ventilation facility health evaluation index, denoted as ; The tunnel water supply facility monitoring and analysis module is used to monitor the water supply facilities deployed in the target highway tunnel, obtain the status information of the water supply facilities, and analyze it to obtain the health assessment index of the water supply facilities, denoted as... ; The tunnel fire protection facility comprehensive analysis module is used to comprehensively analyze the health status of the fire protection facilities in the target highway tunnel, and obtain the health status of the fire protection facilities in the target highway tunnel; The fire protection facility analysis result feedback terminal is used to provide feedback on the health status of the fire protection facilities in the target highway tunnel to the monitoring and management personnel of the target highway tunnel.

2. The intelligent health monitoring system for highway tunnel fire-fighting facilities according to claim 1, characterized in that: The process for setting the impact weights on the health assessment of tunnel fire protection facilities includes: The length, daily average traffic volume, congestion rate and historical number of accidents of the target highway tunnel are respectively denoted as , , and ; Based on the analysis formula Analysis yielded the weights of the tunnel fire safety and health impacts. , These represent the weightings of the tunnel health assessment corresponding to the set tunnel length, traffic flow, congestion rate, and number of historical accidents, respectively. These represent the reference highway tunnel length, reference daily traffic volume, reference congestion rate, and reference number of accidents, respectively, under the set controllable fire protection conditions. The fire health assessment correction factor is set.

3. The intelligent health monitoring system for highway tunnel fire protection facilities according to claim 1, characterized in that: The fire-fighting facilities include fire-fighting equipment and fire-fighting water supply pipelines, and the specific monitoring process includes the following steps: By using cameras installed in each fire hydrant box inside the target highway tunnel to collect images of fire hydrants and fire hoses, the defective areas of each fire hydrant and each fire hose can be located from the collected images, which will serve as the status information of the fire-fighting equipment. Based on the location of each fire hydrant in the target highway tunnel, the water supply pipeline in the target highway tunnel is divided into various pipeline sections, and the maximum and minimum water supply pressures are set. The water supply pressure is monitored by a pressure sensor installed in the pump outlet. When the water pressure is lower than the set minimum water pressure value, the water pump is started to supply water and pressurize it. When the water pressure reaches the maximum water pressure value, the water pump stops supplying water and pressurizing it. During the water pump pressurization process, vibration signals are monitored by vibration sensors installed in each pipeline section at set monitoring time intervals. At the same time, after the water pump pressurization ends, vibration signals are monitored by vibration sensors installed in each pipeline section at set monitoring time intervals. The vibration signals monitored during each pressurization monitoring time period and after the water pump pressurization ends are obtained and used as the status information of the fire water supply pipeline.

4. The intelligent health monitoring system for highway tunnel fire-fighting facilities according to claim 1, characterized in that: The specific analysis process for the health assessment index of the fire-fighting water supply pipeline includes the following steps: The highest and lowest vibration signals are extracted from the vibration signals monitored during each pressurization monitoring time period of each pipeline section during the water pump pressurization process. The difference between these signals yields the vibration signal amplitude for each pipeline section during each pressurization monitoring time period, denoted as . 'i' represents the pipe segment number. t represents the time period number for pressurization monitoring. ; The highest and lowest vibration signals are extracted from the vibration signals monitored at each end of the monitoring period after the water pump pressurization of each pipeline section. The difference between these signals is used to obtain the vibration signal amplitude for each pipeline section at each end of the monitoring period after the water pump pressurization. This amplitude is denoted as . , Indicates the end of the monitoring period number. ; Based on the analysis formula Analysis yielded leakage safety assessment indices for each pipeline section. , Values or or ,in, > > >0, These are the set first permissible vibration amplitude threshold and the second permissible vibration amplitude threshold, respectively. ; Based on the analysis formula Analysis yielded a health assessment index for fire-fighting water supply pipelines. , These are respectively represented as the set reference leakage safety assessment index and the set fire water supply pipeline health assessment correction factor.

5. The intelligent health monitoring system for highway tunnel fire-fighting facilities according to claim 1, characterized in that: The ventilation system includes an air supply system and a smoke exhaust system. The status information of the air supply system includes the wind speed at each air outlet and the gas flow rate monitored at each flow monitoring point in the air supply duct. The status information of the smoke exhaust system includes the dust concentration, soiled area, smoke exhaust wind speed at each smoke exhaust outlet and the internal pressure monitored at each pressure monitoring point in the smoke exhaust duct.

6. The intelligent health monitoring system for highway tunnel fire-fighting facilities according to claim 1, characterized in that: The analysis yielded a health assessment index for the ventilation system. The specific analysis process is as follows: Extract the status information of the air supply facility from the status information of the ventilation facility of the target highway tunnel, and then extract the wind speed corresponding to each air outlet and the gas flow rate monitored at each flow monitoring point in the air supply duct, respectively denoted as... as well as 'g' indicates the air outlet number. d represents the flow monitoring point number. ; Based on the analysis formula Analysis yielded the health assessment index of the air supply facility. , These represent the weightings of the health assessment of the air supply facility corresponding to the set minimum wind speed deviation, maximum wind speed deviation, and gas flow rate deviation, respectively. These are respectively represented as the set minimum supply air velocity, maximum supply air velocity, and reference gas flow rate; extracting the dust concentration, the fouling area, the smoke exhaust speed and the internal pressure of each pressure monitoring point in the smoke exhaust duct corresponding to each smoke exhaust port from the state information corresponding to the target highway tunnel ventilation facility, and analyzing to obtain a smoke exhaust facility health assessment index, denoted as ; Based on the analysis formula Analysis yielded the health assessment index of ventilation facilities. , These represent the impact weights on the ventilation facility assessment corresponding to the set health of the air supply facility and the health of the smoke exhaust facility, respectively. The set ventilation facility evaluation correction factor.

7. The intelligent health monitoring system for highway tunnel fire-fighting facilities according to claim 1, characterized in that: The target highway tunnel water supply facility includes a high-level water tank and a low-level water tank. The status information of the high-level water tank includes the water level height and apparent defect level of the high-level water tank during each water level monitoring period. The status information of the low-level water tank includes the water level height, outlet water pressure, outlet water flow rate and apparent defect level of the low-level water tank during each water level monitoring period.

8. The intelligent health monitoring system for highway tunnel fire protection facilities according to claim 7, characterized in that: The analysis yields a health assessment index for the water supply facilities. The specific analysis process includes the following steps: Extract the water level height of the elevated water tank and the apparent defect degree of the elevated water tank for each water level monitoring period from the status information of the water supply facilities of the target highway tunnel, and record them as follows: and 'r' represents the water level monitoring time period number. ; The highest water level height and the lowest water level height are extracted from the water level heights corresponding to the water level monitoring time periods of the high water tank, and the water level extreme value difference is obtained by subtracting the lowest water level height from the highest water level height, denoted as ; Based on the analysis formula Analysis yielded the health assessment index of the elevated water tank. , These represent the weighted proportions of the assessment for the set water level height and water level deviation, respectively. These represent the suitable water level height and the permissible extreme water level difference corresponding to the designated elevated water tank. Correction factors for the health assessment of the elevated water tank; The water level height, outlet water pressure, outlet flow rate, and apparent defect degree of the low-level water tank at each water level monitoring time period are extracted from the status information of the target highway tunnel water supply facilities and recorded as follows: , , as well as ; By comparing the water level heights of the low-level water tank during each monitoring period, the water level height difference between the monitoring periods is obtained. The maximum water level height difference is extracted as the water level fluctuation value, denoted as . ; The lowest and highest effluent pressures are extracted from the effluent pressures of the low-level water tank during each water level monitoring period. Based on this, a water pressure stability weighting factor is established, denoted as [factor name missing]. ; The lowest water outlet flow and the highest water outlet flow are extracted from the water outlet flow corresponding to each water level monitoring time period of the low water pool, and a water outlet flow stability weight factor is set, denoted as ; Based on the analysis formula Analysis yielded the health assessment index of the low-level water tank. , These represent the weightings of the low-level water tank health assessment corresponding to the set water level height, water level fluctuation, outlet pressure, and outlet flow rate, respectively. These represent the permissible water level deviation, water level height threshold, permissible water level fluctuation value, reference outlet pressure, and reference outlet flow rate corresponding to the set low-level water tank, respectively. Correction factors for the health assessment of the low-level water tank; Based on the analysis formula Analysis yielded a health assessment index for water supply facilities. , These represent the weighted proportions of the water supply facility health assessment corresponding to the health of the high-level water tank and the health of the low-level water tank, respectively. This is a correction factor for the set health assessment index of water supply facilities.

9. The intelligent health monitoring system for highway tunnel fire-fighting facilities according to claim 1, characterized in that: The comprehensive analysis of the health status of the fire-fighting facilities inside the target highway tunnel includes the following specific analysis process: Extracting tunnel fire-fighting facility health assessment influence weight , fire-fighting facility health assessment index , ventilation facility health assessment index , and water supply facility health assessment index ; According to the calculation formula The comprehensive health assessment index of fire protection facilities corresponding to the target highway tunnel was calculated. , These represent the assessment weights for the designated fire-fighting facilities, ventilation facilities, and water supply facilities, respectively. For the established fire protection facility health assessment correction factors, These are the fire health assessment indices corresponding to the fire-fighting facilities, ventilation facilities, and water supply facilities for which references have been set; The comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is compared with the set first health assessment index threshold. If the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is greater than the first health assessment index threshold, the health status of the fire protection facilities is determined to be normal. If the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is less than the first health assessment index threshold, then the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is compared with the set second health assessment index threshold. If the comprehensive health assessment index of the fire protection facilities corresponding to the target highway tunnel is greater than the set second health assessment index threshold, then the health status of the fire protection facilities is a potential hazard; otherwise, the health status of the fire protection facilities is determined to be a dangerous state.

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