An intelligent monitoring method and system for railway tunnel security emergency equipment

Abstract

This application relates to the field of security and emergency technologies, and particularly to an intelligent monitoring method and system for security and emergency equipment in railway tunnels. The method includes: if the operating parameters of the security and emergency equipment are detected, and based on the operating parameters, obtaining the current operating state of the security and emergency equipment; obtaining the environmental parameters in the target tunnel, and based on the environmental parameters, obtaining the ideal operating state of the security and emergency equipment; if the current operating state does not match the ideal operating state, then obtaining abnormal parameters; based on the abnormal parameters, obtaining the first risk level; based on the first risk level, generating the first alarm information; if the current operating state matches the ideal operating state, then obtaining the usage parameters of the security and emergency equipment; based on the usage parameters and the environmental parameters, obtaining the second risk level; based on the second risk level, generating the second alarm information. This application helps to improve the safety and reliability of railway tunnel operations.

Description

Technical Field

[0001] This application relates to the field of security and emergency technologies, and particularly to an intelligent monitoring method and system for railway tunnel security and emergency equipment. Background Art

[0002] As an important part of railway transportation infrastructure, railway tunnels play a key role in ensuring the safe passage of trains. Due to their special enclosed space and complex environment, once a safety accident occurs, it may cause serious property losses, traffic interruptions, and even casualties. The railway tunnel security and emergency equipment, as an important line of defense for safety hazard monitoring and safety rescue, the stability and reliability of its operating state are directly related to the safety and reliability of railway tunnel operations. Therefore, the monitoring of railway tunnel security and emergency equipment is particularly important.

[0003] Traditional monitoring methods for railway tunnel security and emergency equipment mostly rely on manual inspections and simple equipment status feedback. Manual inspections are not only inefficient and difficult to achieve real-time monitoring, but also prone to human negligence, resulting in untimely discovery of faults and potential hazards. At the same time, the simple equipment status feedback mechanism only simply compares the current data with the pre-set thresholds. However, the environment of railway tunnels is complex and changeable, and the ideal state of security and emergency equipment also varies under different environments. Therefore, the simple equipment status feedback mechanism cannot comprehensively and deeply analyze the operating state of the equipment, and it is difficult to accurately predict the equipment failure risk in advance, resulting in the inability of emergency equipment to respond quickly in the face of sudden safety incidents, seriously affecting the operating safety of railway tunnels.

[0004] With the rapid development of railway construction, the number of railway tunnels is increasing continuously, and the scale is expanding continuously. The disadvantages of traditional monitoring methods are becoming more and more prominent. Therefore, there is an urgent need for a method that can monitor railway tunnel security and emergency equipment in real time, comprehensively, and intelligently to improve the safety and reliability of railway tunnel operations. Summary of the Invention

[0005] To help improve the safety and reliability of railway tunnel operations, this application provides an intelligent monitoring method and system for railway tunnel security and emergency equipment.

[0006] In a first aspect, an intelligent monitoring method for railway tunnel security and emergency equipment provided by this application adopts the following technical solution:

[0007] An intelligent monitoring method for railway tunnel security and emergency equipment includes:

[0008] If the operating parameters of the security and emergency equipment are detected, and based on the operating parameters, the current operating state of the security and emergency equipment is obtained;

[0009] Obtain the environmental parameters in the target tunnel, and based on the environmental parameters, obtain the ideal operating state of the security and emergency equipment;

[0010] If the current operating state does not match the ideal operating state, obtain abnormal parameters;

[0011] Based on the abnormal parameters, obtain the first risk level;

[0012] Based on the first risk level, generate a first alarm message;

[0013] If the current operating state matches the ideal operating state, obtain the usage parameters of the security and emergency equipment;

[0014] Based on the usage parameters and the environmental parameters, obtain the second risk level;

[0015] Based on the second risk level, generate a second alarm message.

[0016] By adopting the above technical solution, according to the operating parameters of the railway tunnel security and emergency equipment, obtain the current operating state, and then according to the environmental parameters in the target tunnel, obtain the ideal operating state of the security and emergency equipment, and compare the current operating state with the ideal operating state. If the two do not match, it indicates that the current operating state is not the ideal operating state of the security and emergency equipment in the current environment, and there is a security risk. Therefore, it is necessary to further obtain abnormal parameters and obtain the first risk level according to the abnormal parameters, and generate a first alarm message according to the first risk level; if the two match, it means that the current operating state is the ideal operating state of the security and emergency equipment in the current environment. To further determine whether there is a risk in the security and emergency equipment, obtain the usage parameters of the security and emergency equipment, and obtain a second alarm message according to the usage parameters, and generate a second alarm message according to the second risk level;

[0017] By combining the current operating parameters with the environmental parameters, the ideal operating state of the security and emergency equipment in the current environment can be obtained. This analysis method of combining operating parameters with environmental parameters can fully consider the complex and changeable environmental factors of railway tunnels, provide a more scientific and accurate basis for equipment status evaluation, significantly improve the accuracy and reliability of monitoring the operating state of security and emergency equipment and evaluating potential risks, and at the same time combine the usage parameters of security equipment with environmental parameters to further strengthen the impact of different environments on security equipment, thereby helping to further improve the accuracy of evaluating potential risks of security equipment, generate corresponding alarm messages according to accurate risk assessments, and process the alarm messages in a timely manner, which in turn helps to improve the safety and reliability of railway tunnel operations.

[0018] Optionally, it further includes:

[0019] If the operating parameter is not detected, obtain the target operating state of the security emergency device;

[0020] If the target operating state is the normally closed state, generate a third alarm message;

[0021] If the target operating state is the normally closed state, obtain the historical start record of the security emergency device;

[0022] Based on the historical start record, obtain the historical start count and determine whether there is a start failure record;

[0023] If there is the start failure record, obtain the start failure count;

[0024] Based on the historical start count and the start failure count, obtain the start success rate;

[0025] If the start success rate is less than the preset success rate threshold, generate a fourth alarm message based on the start success rate.

[0026] Optionally, the obtaining the start success rate based on the historical start count and the start failure count includes:

[0027] Determine whether the historical start count exceeds a preset quantity threshold;

[0028] If the historical start count exceeds the preset quantity threshold, obtain a first start success rate based on the historical start count and the start failure count;

[0029] Obtain a unit start record and, based on the unit start record, obtain the unit failure count;

[0030] Obtain a second start success rate based on the unit start record and the unit failure count;

[0031] Obtain the start success rate based on the first start success rate and the second start success rate.

[0032] Optionally, after determining whether the historical start count exceeds the preset quantity threshold, it further includes:

[0033] If the historical start count does not exceed the preset quantity threshold, obtain a success rate compensation coefficient based on the usage parameter and the environment parameter;

[0034] Obtain the start success rate based on the start count, the failure count, and the success rate compensation coefficient, and the start success rate satisfies the following calculation formula:

[0035]

[0036] Wherein, S is the startup success rate, N is the number of startups, F is the number of failures, K is the success rate compensation coefficient, and K0 is the basic compensation coefficient. is the weight coefficient of the i-th usage parameter, is the current value of the i-th usage parameter, is the historical average value of the i-th usage parameter, is the weight coefficient of the j-th environmental parameter, is the current value of the j-th environmental parameter, is the historical average value of the j-th environmental parameter, m is the number of usage parameters, and n is the number of environmental parameters.

[0037] Optionally, obtaining the first risk level based on the abnormal parameter includes:

[0038] Determine whether there is a specified mode;

[0039] If the specified mode does not exist, obtain the first risk level based on the abnormal parameter;

[0040] If the specified mode exists, obtain the specified parameter corresponding to the specified mode;

[0041] Determine whether the specified parameter matches the abnormal parameter;

[0042] If the specified parameter does not match the abnormal parameter, obtain the parameter difference based on the abnormal parameter and the specified parameter;

[0043] Obtain the first risk level based on the parameter difference and the preset comparison table.

[0044] Optionally, obtaining the second risk level based on the usage parameter and the environmental parameter includes:

[0045] Based on the usage parameter, obtain the current usage duration and maintenance record of the security emergency device;

[0046] Obtain the rated usage duration of the security emergency device;

[0047] Based on the current usage duration and the rated usage duration, obtain the usage duration ratio;

[0048] Based on the maintenance record, the current usage duration, and the usage duration ratio, obtain the first risk value;

[0049] Obtain the environmental ideal parameter corresponding to the environmental parameter;

[0050] Based on the environmental parameter and the environmental ideal parameter, obtain the second risk value;

[0051] Obtain a second risk level based on the first risk value and the second risk value.

[0052] Optionally, the maintenance record includes an overhaul record and a repair record; the obtaining of the first risk value based on the maintenance record, the current usage duration, and the usage duration ratio includes:

[0053] Obtain a target overhaul frequency and an initial risk value based on the current usage duration;

[0054] Obtain a pending overhaul frequency based on the overhaul record and the target overhaul frequency;

[0055] Obtain a repair frequency based on the repair record;

[0056] Obtain a first risk value based on the initial risk value, the usage duration ratio, the pending overhaul frequency, and the repair frequency.

[0057] Optionally, the obtaining of the second risk value based on the environmental parameters and the ideal environmental parameters includes:

[0058] Obtain an environmental parameter vector based on the environmental parameters;

[0059] Obtain an ideal parameter vector based on the ideal environmental parameters;

[0060] Obtain a direction sensitivity coefficient corresponding to the environmental parameters;

[0061] Obtain a second risk value based on the environmental parameter vector, the ideal environmental parameter vector, and the direction sensitivity coefficient.

[0062] In a second aspect, the present application also discloses an intelligent monitoring system for railway tunnel security and emergency equipment, adopting the following technical solution:

[0063] An intelligent monitoring system for railway tunnel security and emergency equipment, comprising:

[0064] A first acquisition module, if the operating parameters of the security and emergency equipment are detected, and based on the operating parameters, the first acquisition module is used to acquire the current operating state of the security and emergency equipment;

[0065] A second acquisition module, used to acquire the environmental parameters in the target tunnel, and based on the environmental parameters, acquire the ideal operating state of the security and emergency equipment;

[0066] A third acquisition module, if the current operating state does not match the ideal operating state, the third acquisition module is used to acquire abnormal parameters;

[0067] A fourth acquisition module, used to acquire a first risk level based on the abnormal parameters;

[0068] A first generation module for generating a first alarm message based on the first risk level;

[0069] A fifth acquisition module, if the current operating state matches the ideal operating state, the fifth acquisition module is used to acquire the usage parameters of the security emergency equipment;

[0070] A sixth acquisition module for acquiring a second risk level based on the usage parameters and the environmental parameters;

[0071] A second generation module for generating a second alarm message based on the second risk level.

[0072] By adopting the above technical solution, according to the operating parameters of the railway tunnel security emergency equipment, the current operating state is obtained, and then according to the environmental parameters in the target tunnel, the ideal operating state of the security emergency equipment is obtained. The current operating state is compared with the ideal operating state. If the two do not match, it indicates that the current operating state is not the ideal operating state of the security emergency equipment in the current environment and there is a safety risk. Therefore, it is necessary to further obtain the abnormal parameters and obtain the first risk level according to the abnormal parameters, and generate the first alarm message according to the first risk level; if the two match, it means that the current operating state is the ideal operating state of the security emergency equipment in the current environment. To further determine whether there is a risk in the security emergency equipment, the usage parameters of the security emergency equipment are obtained, and the second alarm message is obtained according to the usage parameters, and the second alarm message is generated according to the second risk level;

[0073] By combining the current operating parameters with the environmental parameters, the ideal operating state of the security emergency equipment in the current environment is obtained. This analysis method of combining operating parameters with environmental parameters can fully consider the complex and changeable environmental factors of railway tunnels, provide a more scientific and accurate basis for equipment status evaluation, significantly improve the accuracy and reliability of monitoring the operating state of security emergency equipment and assessing potential risks, and at the same time combine the usage parameters of security equipment with environmental parameters to further strengthen the impact of different environments on security equipment, thereby helping to further improve the accuracy of assessing potential risks of security equipment, generate corresponding alarm messages according to accurate risk assessments, and process the alarm messages in a timely manner, which in turn helps to improve the safety and reliability of railway tunnel operations.

[0074] In summary, the present application includes the following beneficial technical effects:

[0075] By combining the current operating parameters with the environmental parameters, the ideal operating state of the security and emergency equipment in the current environment is obtained. This analysis method of combining operating parameters with environmental parameters can fully consider the complex and changeable environmental factors in railway tunnels, providing a more scientific and accurate basis for equipment status evaluation, significantly improving the accuracy and reliability of monitoring the operating state of security and emergency equipment and assessing potential risks. At the same time, by combining the usage parameters of the security equipment with the environmental parameters, the impact of different environments on the security equipment is further strengthened, which helps to further improve the accuracy of assessing the potential risks of the security equipment. Corresponding alarm information is generated based on the accurate risk assessment and the alarm information is processed in a timely manner, which in turn helps to improve the safety and reliability of railway tunnel operations. Description of the Drawings

[0076] Figure 1 is the main flowchart of an intelligent monitoring method for security and emergency equipment in railway tunnels according to an embodiment of the present application;

[0077] Figure 2 is the flowchart of steps S201 to S207;

[0078] Figure 3 is the flowchart of steps S301 to S305;

[0079] Figure 4 is the flowchart of steps S401 to S402;

[0080] Figure 5 is the flowchart of steps S501 to S506;

[0081] Figure 6 is the flowchart of steps S601 to S607;

[0082] Figure 7 is the flowchart of steps S701 to S704;

[0083] Figure 8 is the flowchart of steps S801 to S804;

[0084] Figure 9 is the module diagram of an intelligent monitoring system for security and emergency equipment in railway tunnels according to an embodiment of the present application.

[0085] Description of the Reference Numerals:

[0086] 1. First acquisition module; 2. Second acquisition module; 3. Third acquisition module; 4. Fourth acquisition module; 5. First generation module; 6. Fifth acquisition module; 7. Sixth acquisition module; 8. Second generation module. Detailed Embodiment

[0087] In a first aspect, the present application discloses an intelligent monitoring method for railway tunnel security emergency equipment.

[0088] Referring to Figure 1 , an intelligent monitoring method for railway tunnel security emergency equipment includes steps S101 to S108:

[0089] Step S101: If the operating parameters of the security emergency equipment are detected, and based on the operating parameters, obtain the current operating state of the security emergency equipment.

[0090] Specifically, in this embodiment, the security emergency equipment is the railway tunnel security emergency equipment, such as the through-earth communication equipment, gas monitoring equipment, video monitoring equipment, and emergency lighting equipment, etc.; the operating parameters are the real-time operating parameters of the security emergency equipment, such as collecting the vibration acceleration of the fan through a vibration sensor and collecting the motor temperature using a temperature sensor, etc.; the current operating state is the operating state of the security emergency equipment at the current time node.

[0091] Step S102: Obtain the environmental parameters in the target tunnel, and based on the environmental parameters, obtain the ideal operating state of the security emergency equipment.

[0092] Specifically, the target tunnel is the tunnel that needs to be intelligently monitored for security emergency equipment; the environmental parameters are the parameters of the relevant environment in the target tunnel, including temperature, humidity, wind force, and various gas concentrations, etc.; in this embodiment, the standard parameters for different security emergency equipment to operate under different environmental parameters are set in advance, and the operating state corresponding to the standard parameters is the ideal operating state.

[0093] Step S103: If the current operating state does not match the ideal operating state, obtain the abnormal parameters.

[0094] Specifically, in this embodiment, the current operating state is compared with the ideal operating state, and it is judged whether the current operating state matches the ideal operating state. If not, it means that the current operating state is not the ideal operating state of the security emergency equipment in the current environment. Therefore, there is a safety risk in the security emergency equipment in the current operating state. Thus, it is necessary to further obtain the abnormal parameters. In this embodiment, the abnormal parameters are the parameters that are different when the operating parameters are compared with the standard parameters.

[0095] Step S104: Based on the abnormal parameters, obtain the first risk level.

[0096] Specifically, in this embodiment, the first risk level is the risk level determined according to the abnormal parameters.

[0097] Step S105: Generate a first alarm message based on the first risk level.

[0098] Step S106: If the current operating state matches the ideal operating state, obtain the usage parameters of the security emergency equipment.

[0099] Specifically, in this embodiment, the usage parameters include the usage duration of the security emergency equipment, the maximum usage period, and the relevant information of the faults occurring during the usage process, etc.

[0100] Step S107: Based on the usage parameters and the environmental parameters, obtain the second risk level.

[0101] Specifically, in this embodiment, the second risk level is the risk level generated according to the usage parameters and the environmental parameters.

[0102] Step S108: Based on the second risk level, generate the second alarm information.

[0103] The intelligent monitoring method for the security emergency equipment in the railway tunnel provided in this embodiment, by adopting the above technical solution, according to the operating parameters of the security emergency equipment in the railway tunnel, obtain the current operating state, and then according to the environmental parameters in the target tunnel, obtain the ideal operating state of the security emergency equipment, compare the current operating state with the ideal operating state. If the two do not match, it indicates that the current operating state is not the ideal operating state of the security emergency equipment in the current environment, and there is a security risk. Therefore, it is necessary to further obtain the abnormal parameters and obtain the first risk level according to the abnormal parameters, and generate the first alarm information according to the first risk level; if the two match, it means that the current operating state is the ideal operating state of the security emergency equipment in the current environment. To further determine whether there is a risk for the security emergency equipment, obtain the usage parameters of the security emergency equipment, and obtain the second alarm information according to the usage parameters, and generate the second alarm information according to the second risk level.

[0104] By combining the current operating parameters with the environmental parameters, the ideal operating state of the security emergency equipment in the current environment can be obtained. This analysis method of combining the operating parameters with the environmental parameters can fully consider the complex and changeable environmental factors in the railway tunnel, provide a more scientific and accurate basis for the equipment state evaluation, significantly improve the accuracy and reliability of the monitoring of the operating state of the security emergency equipment and the assessment of potential risks. At the same time, by combining the usage parameters of the security equipment with the environmental parameters, the influence of different environments on the security equipment is further strengthened, which helps to further improve the accuracy of the assessment of the potential risks of the security equipment. Generate the corresponding alarm information according to the accurate risk assessment and process the alarm information in a timely manner, which helps to improve the safety and reliability of the railway tunnel operation.

[0105] Refer to Figure 2 , in one implementation manner of this embodiment, it further includes steps S201 to S207:

[0106] Step S201: If the operating parameters are not detected, obtain the target working state of the security emergency device.

[0107] Specifically, in this embodiment, the target working state is the normal working state of the security emergency device, including the normally closed state and the non-normally closed state.

[0108] Step S202: If the target working state is the non-normally closed state, generate a third alarm message.

[0109] Specifically, in this embodiment, if the target working state is the non-normally closed state, it means that the security emergency device has been in the operating state under normal circumstances, but the corresponding operating parameters cannot be detected. There must be related faults causing this situation, so a third alarm message is generated for alarm.

[0110] Step S203: If the target working state is the normally closed state, obtain the historical startup record of the security emergency device.

[0111] Specifically, if the target working state is the normally closed state, it means that the security emergency device will always be in the closed state under normal circumstances, so the operating parameters of the security emergency device cannot be collected; the historical startup record is the startup record of the security emergency device at historical moments, including the startup time and the number of startups, etc. In this embodiment, the startup record of the security emergency device in the past year can be selected as the historical startup record.

[0112] Step S204: Based on the historical startup record, obtain the historical startup times, and determine whether there is a startup failure record.

[0113] Specifically, in this embodiment, the historical startup times are the total number of startups of the security emergency device in the historical startup record; the startup failure record is the record of not starting up normally when starting the security emergency device.

[0114] Step S205: If there is a startup failure record, obtain the number of startup failures.

[0115] Specifically, in this embodiment, the number of startup failures is the number of times of not starting up normally when starting the security emergency device.

[0116] Step S206: Based on the historical startup times and the number of startup failures, obtain the startup success rate.

[0117] Specifically, the startup success rate is the probability of successful startup when starting the security emergency device.

[0118] Step S207: If the startup success rate is less than the preset success rate threshold, generate a fourth alarm message based on the startup success rate.

[0119] Specifically, in this embodiment, the preset success rate threshold is a criterion preset for determining whether there is a risk in the startup success rate or whether this risk requires generating an alarm message. If the startup success rate is less than the preset success rate threshold, it indicates that the startup success rate of this security emergency device is too low, so there is a relatively large security risk and a fourth alarm message needs to be generated for alarm.

[0120] Refer to Figure 3 , in one implementation manner of this embodiment, step S206 for obtaining the startup success rate based on the historical startup times and startup failure times includes steps S301 to S305:

[0121] Step S301: Determine whether the historical startup times exceed the preset quantity threshold.

[0122] Specifically, in this embodiment, the preset quantity threshold is a standard value preset for determining whether the historical startup times can be used as a basis for obtaining the startup success rate.

[0123] Step S302: If the historical startup times exceed the preset quantity threshold, then based on the historical startup times and startup failure times, obtain the first startup success rate.

[0124] Specifically, if the historical startup times exceed the preset quantity threshold, it indicates that the startup times are relatively many, and the error of the first startup success rate calculated according to these startup times is relatively small. Therefore, the first startup success rate can be calculated based on the historical startup times and startup failure times. In this embodiment, the first startup success rate is the startup success rate calculated according to the historical startup times and startup failure times. In this embodiment, the first startup success rate = (historical startup times - startup failure times) ÷ historical startup times.

[0125] Step S303: Obtain the unit startup record and, based on the unit startup record, obtain the unit failure times.

[0126] Specifically, the unit startup record is the startup record of the security emergency device within the unit time. In this embodiment, the unit startup record is the startup record of this security emergency device in the most recent month. The unit failure times are the number of times this security emergency device fails to start normally in the most recent month. In this embodiment, if the total number of startups corresponding to the startup record of this security emergency device in the most recent month is less than 10 times, then the records of the most recent 10 startups can be selected as the unit startup record, which increases the calculation sample and can make the calculation result more accurate.

[0127] Step S304: Based on the unit startup record and the unit failure times, obtain the second startup success rate.

[0128] Specifically, in this embodiment, the second startup success rate is the startup success rate calculated based on the unit startup records and the number of unit failures. In this embodiment, the corresponding number of startups can be obtained according to the unit startup records, and then the second startup success rate can be calculated based on the number of startups and the number of unit failures. The second startup success rate = (number of startups - number of unit failures) ÷ number of startups.

[0129] Step S305: Based on the first startup success rate and the second startup success rate, obtain the startup success rate.

[0130] Specifically, weight values can be assigned to the first startup success rate and the second startup success rate respectively, and then the final startup success rate can be calculated based on the first startup success rate, the second startup success rate, and their corresponding weight values. For example, in this embodiment, the weight values of the first startup success rate and the second startup success rate are 0.4 and 0.6 respectively. Then the startup success rate = first startup success rate × 0.4 + second startup success rate × 0.6; it should be noted that using the first startup success rate and the second startup success rate to calculate the final startup success rate separately is to increase the proportion of recent data, so as to make the calculation result more accurate.

[0131] Refer to Figure 4 , in one implementation manner of this embodiment, after determining whether the historical number of startups exceeds the preset quantity threshold in step S301, steps S401 to S402 are further included:

[0132] Step S401: If the historical number of startups does not exceed the preset quantity threshold, obtain the success rate compensation coefficient based on the usage parameters and the environmental parameters.

[0133] Specifically, in this embodiment, if the historical number of startups does not exceed the preset quantity threshold, it means that the number of startups is small, and the error of the calculated startup success rate based on this number of startups is large. The startup success rate cannot be calculated based on the historical number of startups and the number of startup failures. Therefore, it is necessary to further obtain the parameters and environmental parameters to obtain the success rate compensation coefficient, where the success rate compensation coefficient is a parameter for correcting the startup success rate according to the usage parameters and the environmental parameters.

[0134] Step S402: Based on the number of startups, the number of failures, and the success rate compensation coefficient, obtain the startup success rate.

[0135] Specifically, in this embodiment, the startup success rate satisfies the following calculation formula:

[0136]

[0137] Among them, S is the startup success rate, N is the number of startups, F is the number of failures, K is the success rate compensation coefficient, and K0 is the basic compensation coefficient. is the weight coefficient of the i-th parameter used, is the current value of the i-th parameter used, is the historical average value of the i-th parameter used, is the weight coefficient of the j-th environmental parameter, is the current value of the j-th environmental parameter, is the historical average value of the j-th environmental parameter, m is the number of parameters used, and n is the number of environmental parameters.

[0138] Refer to Figure 5 , in one implementation manner of this embodiment, step S104 obtains the first risk level based on the abnormal parameter, including steps S501 to S506:

[0139] Step S501: Determine whether there is a specified mode.

[0140] Specifically, in this embodiment, the specified mode is the pre-specified operating mode.

[0141] Step S502: If there is no specified mode, obtain the first risk level based on the abnormal parameter.

[0142] Specifically, if there is no specified mode, it means that the abnormal parameter is indeed caused by certain abnormal factors or faults. Therefore, directly obtain the first risk level according to the abnormal parameter. In this embodiment, the first risk level can be set according to the gap between the abnormal parameter and the ideal operating parameter.

[0143] Step S503: If there is a specified mode, obtain the specified parameter corresponding to the specified mode.

[0144] Specifically, in this embodiment, if there is no specified mode, it means that the abnormal parameter may be caused by the specified mode. Therefore, obtain the specified parameter, and the specified parameter is the operating parameter under the specified mode.

[0145] Step S504: Determine whether the specified parameter matches the abnormal parameter.

[0146] Step S505: If the specified parameter does not match the abnormal parameter, obtain the parameter difference based on the abnormal parameter and the specified parameter.

[0147] Specifically, in this embodiment, if the specified parameter does not match the abnormal parameter, it means that the reason for the abnormal parameter is not or not entirely caused by the specified mode; the parameter difference is the value obtained by subtracting the corresponding specified parameter from the abnormal parameter.

[0148] Step S506: Obtain the first risk level based on the parameter difference and the preset comparison table.

[0149] Specifically, in this embodiment, the preset comparison table is a correspondence table between the preset parameter difference and the first risk level. The corresponding first risk level can be obtained from the preset comparison table through the parameter difference.

[0150] Refer to Figure 6 , in one implementation manner of this embodiment, step S107 for obtaining the second risk level based on the usage parameters and environmental parameters includes steps S601 to S607:

[0151] Step S601: Based on the usage parameters, obtain the current usage duration and maintenance records of the security emergency device.

[0152] Specifically, in this embodiment, the current usage duration is the duration corresponding to the security emergency device from the formal use to the current time node, and the maintenance records are the maintenance records and inspection records.

[0153] Step S602: Obtain the rated usage duration of the security emergency device.

[0154] Specifically, in this embodiment, the rated usage duration is the longest rated usage duration of the security emergency device.

[0155] Step S603: Based on the current usage duration and the rated usage duration, obtain the usage duration ratio.

[0156] Specifically, in this embodiment, the usage duration ratio = current usage duration ÷ rated usage duration.

[0157] Step S604: Based on the maintenance records, the current usage duration, and the usage duration ratio, obtain the first risk value.

[0158] Specifically, in this embodiment, the first risk value is the risk value calculated according to the maintenance records, the current usage duration, and the usage duration ratio.

[0159] Step S605: Obtain the ideal environmental parameters corresponding to the environmental parameters.

[0160] Specifically, in this embodiment, the ideal environmental parameters are the environmental parameters most suitable for the security emergency device.

[0161] Step S606: Based on the environmental parameters and the ideal environmental parameters, obtain the second risk value.

[0162] Specifically, in this embodiment, the second risk value is the risk value calculated according to the environmental parameters and the ideal parameters.

[0163] Step S607: Based on the first risk value and the second risk value, obtain the second risk level.

[0164] Specifically, in this embodiment, the first risk value and the second risk value are summed up to obtain the total risk value, and then the corresponding second risk level is obtained according to the preset correspondence between the risk value and the second risk level.

[0165] Refer to Figure 7 , in one implementation manner of this embodiment, step S604 obtains the first risk value based on the maintenance record, the current usage duration, and the usage duration ratio, including steps S701 to S704:

[0166] Step S701: Obtain the target maintenance times and the initial risk value based on the current usage duration.

[0167] Specifically, the target maintenance times are the number of times the security emergency equipment should be maintained during the time period corresponding to the current usage duration. In this embodiment, the security emergency equipment needs to be maintained on time, and according to the specific maintenance cycle and the current usage duration, the target maintenance times can be calculated; the initial risk value is the risk value corresponding to the current usage duration. In this embodiment, the setting of the initial risk value is related to the current usage duration. The longer the current usage duration, the greater the initial risk value.

[0168] Step S702: Obtain the number of times to be maintained based on the maintenance record and the target maintenance times.

[0169] Specifically, the number of times to be maintained is the number of missing maintenance times. In this embodiment, the number of times already maintained can be obtained according to the maintenance record, and then the number of times to be maintained can be obtained by subtracting the number of times already maintained from the target maintenance times.

[0170] Step S703: Obtain the number of repairs based on the repair record.

[0171] Specifically, in this embodiment, the number of repairs is the total number of times the security emergency equipment has been repaired.

[0172] Step S704: Obtain the first risk value based on the initial risk value, the usage duration ratio, the number of times to be maintained, and the number of repairs.

[0173] Specifically, in this embodiment, the first risk value satisfies the following calculation formula:

[0174]

[0175] Where Y1 is the first risk value, A is the initial risk value, p is the usage duration ratio, x is the number of times to be maintained, y is the number of repairs, b is the weight coefficient of the number of times to be maintained, and c is the weight coefficient of the number of repairs.

[0176] It should be noted that the maintenance and inspection records include overhaul records and repair records. In this embodiment, "repair" means that the security and emergency equipment has failed and needs to be repaired, while "maintenance and inspection" refers to regular inspections based on the characteristics and requirements of the security and emergency equipment.

[0177] Referring to Figure 8 , in one implementation manner of this embodiment, step S606 of obtaining the second risk value based on the environmental parameters and the ideal environmental parameters includes steps S801 to S804:

[0178] Step S801: Based on the environmental parameters, obtain an environmental parameter vector.

[0179] Specifically, in this embodiment, the environmental parameter vector is a vector composed of environmental parameters.

[0180] Step S802: Based on the ideal environmental parameters, obtain an ideal environmental parameter vector.

[0181] Specifically, in this embodiment, the ideal environmental parameter vector is a vector composed of ideal environmental parameters.

[0182] Step S803: Obtain a direction sensitivity coefficient corresponding to the environmental parameters.

[0183] Specifically, the direction sensitivity coefficient is the sensitivity coefficient to the positive deviation. In this embodiment, the direction sensitivity coefficient is set according to the difference between the environmental parameter vector and the ideal environmental parameter vector and .

[0184] Step S804: Based on the environmental parameter vector, the ideal environmental parameter vector, and the direction sensitivity coefficient, obtain the second risk value.

[0185] Specifically, in this embodiment, the second risk value satisfies the following calculation formula:

[0186]

[0187] Where Y2 is the second risk value, B is the adjustment coefficient, z is the number of items of the environmental parameters, E r is the value of the rth environmental parameter, I r is the value of the rth ideal environmental parameter, is the weight coefficient of the rth environmental parameter, is the direction sensitivity coefficient.

[0188] Second, the present application also discloses an intelligent monitoring system for railway tunnel security and emergency equipment.

[0189] Referring to Figure 9 , an intelligent monitoring system for railway tunnel security and emergency equipment includes:

[0190] The first acquisition module 1 is configured to acquire the current operating state of the security emergency device if the operating parameters of the security emergency device are detected and based on the operating parameters.

[0191] The second acquisition module 2 is configured to acquire the environmental parameters in the target tunnel and, based on the environmental parameters, acquire the ideal operating state of the security emergency device.

[0192] The third acquisition module 3 is configured to acquire abnormal parameters if the current operating state does not match the ideal operating state.

[0193] The fourth acquisition module 4 is configured to acquire the first risk level based on the abnormal parameters.

[0194] The first generation module 5 is configured to generate a first alarm message based on the first risk level.

[0195] The fifth acquisition module 6 is configured to acquire the usage parameters of the security emergency device if the current operating state matches the ideal operating state.

[0196] The sixth acquisition module 7 is configured to acquire the second risk level based on the usage parameters and the environmental parameters.

[0197] The second generation module 8 is configured to generate a second alarm message based on the second risk level.

[0198] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application shall be covered by the protection scope of the present application.

Claims

1. An intelligent monitoring method for railway tunnel security emergency equipment, characterized in that, Including: If the operating parameters of the security emergency device are detected, and based on the operating parameters, obtain the current operating state of the security emergency device; Obtain the environmental parameters in the target tunnel, and based on the environmental parameters, obtain the ideal operating state of the security emergency device; If the current operating state does not match the ideal operating state, obtain abnormal operating parameters; Based on the abnormal operating parameters, obtain the first risk level; Based on the first risk level, generate a first alarm message; If the current operating state matches the ideal operating state, obtain the usage parameters of the security emergency device; Based on the usage parameters and the environmental parameters, obtain the second risk level; Based on the second risk level, generate a second alarm message; If the operating parameters are not detected, obtain the target working state of the security emergency device; If the target working state is a normally closed state, generate a third alarm message; If the target working state is the normally closed state, obtain the historical startup record of the security emergency device; Based on the historical startup record, obtain the historical startup times, and determine whether there is a startup failure record; If there is the startup failure record, obtain the startup failure times; Based on the historical startup times and the startup failure times, obtain the startup success rate; If the startup success rate is less than the preset success rate threshold, generate a fourth alarm message based on the startup success rate; The obtaining the startup success rate based on the historical startup times and the startup failure times includes: Judge whether the historical startup times exceed the preset quantity threshold; If the historical startup times do not exceed the preset quantity threshold, obtain a success rate compensation coefficient based on the usage parameters and the environmental parameters; Based on the startup times, the failure times, and the success rate compensation coefficient, obtain the startup success rate, and the startup success rate satisfies the following calculation formula: Where S is the startup success rate, N is the number of startups, F is the number of failures, K is the success rate compensation coefficient, and K0 is the basic compensation coefficient. is the weight coefficient of the i-th usage parameter. is the current value of the i-th usage parameter. is the historical average value of the i-th usage parameter. is the weight coefficient of the j-th environmental parameter. is the current value of the j-th environmental parameter. is the historical average value of the j-th environmental parameter, m is the number of usage parameters, and n is the number of environmental parameters.

2. The intelligent monitoring method for railway tunnel security emergency equipment according to claim 1, wherein The obtaining the startup success rate further includes: If the historical startup times exceed the preset quantity threshold, obtain a first startup success rate based on the historical startup times and the startup failure times; Obtain the unit startup record, and based on the unit startup record, obtain the unit failure times; Based on the unit startup record and the unit failure times, obtain a second startup success rate; Based on the first startup success rate and the second startup success rate, obtain the startup success rate.

3. The intelligent monitoring method for railway tunnel security emergency equipment according to claim 1, characterized in that, The obtaining the first risk level based on the abnormal operating parameters includes: Judge whether there is a specified mode, and the specified mode is a pre-specified operating mode; If there is no such specified mode, obtain the first risk level based on the abnormal operating parameters; If there is the specified mode, obtain the specified parameters corresponding to the specified mode; Judge whether the specified parameters match the abnormal operating parameters; If the specified parameters do not match the abnormal operating parameters, obtain a parameter difference based on the abnormal operating parameters and the specified parameters; Based on the parameter difference and the preset comparison table, obtain the first risk level.

4. An intelligent monitoring method for railway tunnel security emergency equipment according to claim 1, characterized in that Obtaining the second risk level based on the usage parameters and the environmental parameters includes: Based on the usage parameters, obtaining the current usage duration and maintenance records of the security emergency device; Obtaining the rated usage duration of the security emergency device; Based on the current usage duration and the rated usage duration, obtaining the usage duration ratio; Based on the maintenance records, the current usage duration, and the usage duration ratio, obtaining the first risk value; Obtaining the ideal environmental parameters corresponding to the environmental parameters; Based on the environmental parameters and the ideal parameters, obtaining the second risk value; Based on the first risk value and the second risk value, obtaining the second risk level.

5. The intelligent monitoring method for railway tunnel security emergency equipment according to claim 4, characterized in that, The maintenance records include inspection records and repair records; obtaining the first risk value based on the maintenance records, the current usage duration, and the usage duration ratio includes: Based on the current usage duration, obtaining the target inspection times and the initial risk value; Based on the inspection records and the target inspection times, obtaining the times to be inspected; Based on the repair records, obtaining the number of repairs; Based on the initial risk value, the usage duration ratio, the times to be inspected, and the number of repairs, obtaining the first risk value.

6. The intelligent monitoring method for railway tunnel security and emergency equipment according to claim 4, characterized in that, Obtaining the second risk value based on the environmental parameters and the ideal parameters includes: Based on the environmental parameters, obtaining an environmental parameter vector; Based on the ideal parameters, obtaining an ideal parameter vector; Obtain a direction-sensitive coefficient corresponding to the environmental parameter, where the direction-sensitive coefficient is set according to the difference between the environmental parameter vector and the ideal parameter vector and , is the direction-sensitive coefficient; Based on the environmental parameter vector, the ideal parameter vector, and the direction sensitivity coefficient, obtaining the second risk value, and the second risk value satisfies the following calculation formula: Among them, Y2 is the second risk value, B is the adjustment coefficient, z is the number of items of the environmental parameters, E r is the value of the r-th environmental parameter, I r is the value of the r-th ideal parameter, The weight coefficient of the r-th environmental parameter.

7. An intelligent monitoring system for railway tunnel security emergency equipment is used to implement the intelligent monitoring method for railway tunnel security emergency equipment described in any one of the above claims 1-6, and is characterized in that, Including: The first acquisition module, if the operating parameters of the security emergency device are detected and based on the operating parameters, the first acquisition module is used to obtain the current operating state of the security emergency device; The second acquisition module is used to obtain the environmental parameters in the target tunnel and, based on the environmental parameters, obtain the ideal operating state of the security emergency device; The third acquisition module, if the current operating state does not match the ideal operating state, the third acquisition module is used to obtain abnormal operating parameters; The fourth acquisition module is used to obtain the first risk level based on the abnormal operating parameters; The first generation module is used to generate a first alarm message based on the first risk level; The fifth acquisition module, if the current operating state matches the ideal operating state, the fifth acquisition module is used to obtain the usage parameters of the security emergency device; The sixth acquisition module is used to obtain the second risk level based on the usage parameters and the environmental parameters; The second generation module is used to generate a second alarm message based on the second risk level.

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