Fault monitoring method and device for cable tunnel, electronic equipment and storage medium

Abstract

The invention discloses a fault monitoring method and device for a cable tunnel, electronic equipment and a storage medium, and the method comprises the steps: obtaining a plurality of current tunnel parameters of a plurality of tunnel regions, and enabling each current tunnel parameter to correspond to one tunnel region; determining a current parameter standard score of each tunnel area according to the plurality of current tunnel parameters to obtain a plurality of current parameter standard scores; and determining whether the plurality of tunnel areas have faults according to the plurality of current parameter standard scores. According to the method, the current parameter standard score of each tunnel region is calculated according to the monitored current tunnel parameters of the plurality of tunnel regions, and fault monitoring is performed on the corresponding tunnel region based on each current parameter standard score. The problem that a fault monitoring result is influenced by subjective experience of inspectors due to manual inspection can be suppressed, and the monitoring accuracy of fault monitoring of the cable tunnel is improved.

Description

Technical Field

[0001] This application belongs to the technical field of fault monitoring, and particularly relates to a fault monitoring method, device, electronic device and storage medium for a cable tunnel. Background Art

[0002] A cable tunnel is an underground passage structure specifically used for laying and protecting power cables. Inside the cable tunnel, multiple high-voltage or low-voltage cables are usually laid, and auxiliary tunnel equipment such as ventilation, drainage, lighting, and access control is equipped to ensure the safe operation and convenient maintenance of the cables. The cable tunnel environment is complex and the space is enclosed. Once a fault occurs, such as an environmental fault or a tunnel equipment fault, it is easy to cause large-scale power outages or safety accidents. Therefore, it is particularly important to monitor the faults in the cable tunnel.

[0003] Currently, the fault monitoring of cable tunnels mainly relies on inspection personnel to manually check for faults in the cable tunnel environment and tunnel equipment. The manual inspection method is affected by the subjective experience of the inspection personnel, resulting in low monitoring accuracy for fault monitoring of cable tunnels. Summary of the Invention

[0004] In view of this, embodiments of the present application provide a fault monitoring method, device, electronic device and storage medium for a cable tunnel to overcome the above problems of the prior art.

[0005] In a first aspect, embodiments of the present application provide a fault monitoring method for a cable tunnel, including: obtaining multiple current tunnel parameters of multiple tunnel areas, each current tunnel parameter corresponding to a tunnel area; determining a current parameter standard score for each tunnel area according to the multiple current tunnel parameters, obtaining multiple current parameter standard scores; and determining whether there are faults in the multiple tunnel areas according to the multiple current parameter standard scores.

[0006] Wherein, in some alternative embodiments, the determining a current parameter standard score for each tunnel area according to the multiple current tunnel parameters includes: calculating a current average tunnel parameter and a current tunnel parameter standard deviation according to the multiple current tunnel parameters; and calculating the current parameter standard score according to a current tunnel parameter of each tunnel area, the current average tunnel parameter, and the current tunnel parameter standard deviation.

[0007] Among them, in some alternative embodiments, determining whether there are faults in the multiple tunnel areas according to the multiple current parameter standard scores includes: when the target current parameter standard score among the multiple current parameter standard scores is greater than the standard score threshold, determining that there is a fault in the target tunnel area corresponding to the target current parameter standard score; when the target current parameter standard score is less than or equal to the standard score threshold, determining that there is no fault in the target tunnel area.

[0008] Among them, in some alternative embodiments, the fault monitoring method for the cable tunnel further includes: when it is determined that there is a fault in the target tunnel area, determining the regression line slope of the target current tunnel parameter of the target tunnel area, where the regression line slope is used to characterize the parameter change amount of the target current tunnel parameter per unit time; based on the target current tunnel parameter, the regression line slope, and time, constructing a tunnel parameter prediction function for the target current tunnel parameter.

[0009] Among them, in some alternative embodiments, when it is determined that there is a fault in the target tunnel area, determining the regression line slope of the target current tunnel parameter of the target tunnel area includes: when it is determined that there is a fault in the target tunnel area, obtaining multiple historical tunnel parameters of the target tunnel area; performing Theil-Sen estimation on the multiple historical tunnel parameters to obtain the regression line slope.

[0010] Among them, in some alternative embodiments, the fault monitoring method for the cable tunnel further includes: calculating a safe handling duration according to the warning threshold of the target current tunnel parameter and the tunnel parameter prediction function; sending the safe handling duration to a client associated with an operation and maintenance personnel.

[0011] Among them, in some alternative embodiments, the fault monitoring method for the cable tunnel further includes: generating an alarm message when it is determined that there is a fault in the target tunnel area among the multiple tunnel areas.

[0012] In a second aspect, an embodiment of the present application provides a fault monitoring device for a cable tunnel. The fault monitoring device for the cable tunnel includes an acquisition module, a first determination module, and a second determination module. The acquisition module is configured to acquire multiple current tunnel parameters of multiple tunnel areas, and each current tunnel parameter corresponds to a tunnel area; the first determination module is configured to determine a current parameter standard score of each tunnel area according to the multiple current tunnel parameters, and obtain multiple current parameter standard scores; the second determination module is configured to determine whether there are faults in the multiple tunnel areas according to the multiple current parameter standard scores.

[0013] In a third aspect, an embodiment of the present application provides an electronic device, including a memory; one or more processors coupled to the memory; and one or more application programs. Among them, the one or more application programs are stored in the memory and configured to be executed by the one or more processors, and the one or more application programs are configured to execute the cable tunnel fault monitoring method provided in the first aspect above.

[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which program code is stored, and the program code can be called by a processor to execute the cable tunnel fault monitoring method provided in the first aspect above.

[0015] In a fifth aspect, an embodiment of the present application provides a computer program product, which, when running on a computer device, causes the computer device to execute the cable tunnel fault monitoring method provided in the first aspect above.

[0016] The solution provided by the present application obtains multiple current tunnel parameters of multiple tunnel areas, each current tunnel parameter corresponding to a tunnel area, determines a current parameter standard score for each tunnel area according to the multiple current tunnel parameters, obtains multiple current parameter standard scores, and determines whether there are faults in the multiple tunnel areas according to the multiple current parameter standard scores. It realizes calculating a current parameter standard score for each tunnel area based on the multiple current tunnel parameters monitored in multiple tunnel areas, and performing fault monitoring on the corresponding tunnel area based on each current parameter standard score, which can suppress the problem that the fault monitoring result is affected by the subjective experience of the inspection personnel due to manual inspection, and improves the monitoring accuracy of cable tunnel fault monitoring. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to these drawings.

[0018] Figure 1 Fig. shows a schematic diagram of a scenario of a cable tunnel fault monitoring system provided by an embodiment of the present application.

[0019] Figure 2 Fig. shows a schematic flowchart of a cable tunnel fault monitoring method provided by an embodiment of the present application.

[0020] Figure 3It shows a schematic diagram of a scenario of the current CO2 concentration distributions in multiple tunnel areas in the fault monitoring method for a cable tunnel provided by an embodiment of the present application.

[0021] Figure 4 It shows a schematic diagram of a scenario of the historical tunnel parameter change rate in the fault monitoring method for a cable tunnel provided by an embodiment of the present application.

[0022] Figure 5 It shows another schematic flow diagram of the fault monitoring method for a cable tunnel provided by an embodiment of the present application.

[0023] Figure 6 It shows a structural block diagram of a fault monitoring device for a cable tunnel provided by an embodiment of the present application.

[0024] Figure 7 It shows a functional block diagram of an electronic device provided by an embodiment of the present application.

[0025] Figure 8 It shows a computer-readable storage medium for storing or carrying program codes for implementing the fault monitoring method for a cable tunnel provided by an embodiment of the present application.

[0026] Figure 9 It shows a computer program product for storing or carrying program codes for implementing the fault monitoring method for a cable tunnel provided by an embodiment of the present application. Detailed implementation manners

[0027] To make the invention objectives, features, and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the embodiments described below are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts belong to the scope of protection of the present application.

[0028] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0029] It should also be understood that the terms used in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. As used in the specification of this application and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0030] It should be further understood that the term "and / or" used in the specification of this application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0031] In addition, in the description of this application, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0032] A cable tunnel is an underground passage structure specifically used for laying and protecting power cables. Inside the cable tunnel, multiple high-voltage or low-voltage cables are usually arranged, and auxiliary tunnel equipment such as ventilation, drainage, lighting, and access control is equipped to ensure the safe operation and convenient maintenance of the cables. The cable tunnel environment is complex and the space is enclosed. Once a fault occurs, such as an environmental fault or a tunnel equipment fault, it is easy to cause large-scale power outages or safety accidents. Therefore, it is particularly important to monitor faults in the cable tunnel.

[0033] Currently, the fault monitoring of cable tunnels mainly relies on inspection personnel to manually check for faults in the cable tunnel environment and tunnel equipment. The manual inspection method is affected by the subjective experience of the inspection personnel, resulting in relatively low monitoring accuracy for fault monitoring of cable tunnels.

[0034] In response to the above problems, the fault monitoring method, device, electronic device, and storage medium for cable tunnels provided in the embodiments of this application obtain multiple current tunnel parameters of multiple tunnel areas, each current tunnel parameter corresponding to a tunnel area, and determine a current parameter standard score for each tunnel area based on the multiple current tunnel parameters, obtaining multiple current parameter standard scores, and determine whether there are faults in multiple tunnel areas based on the multiple current parameter standard scores, realizing calculating a current parameter standard score for each tunnel area based on the monitored multiple current tunnel parameters of multiple tunnel areas, and performing fault monitoring on the corresponding tunnel area based on each current parameter standard score, which can suppress the problem that the fault monitoring results are affected by the subjective experience of the inspection personnel caused by manual inspection, and improve the monitoring accuracy of fault monitoring of cable tunnels.

[0035] Next, the technical solutions in the embodiments of this application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this application.

[0036] Please refer to Figure 1, which shows a schematic diagram of an application scenario of the fault monitoring system for a cable tunnel provided by an embodiment of the present application. The fault monitoring system for a cable tunnel may include a cable tunnel 100, tunnel equipment 200, tunnel sensors 300, a gateway device 400, a processing device 500, etc. The tunnel equipment 200, tunnel sensors 300, and gateway device 400 can all be installed in the cable tunnel 100. The gateway device 400 can be communicatively connected to the tunnel equipment 200, tunnel sensors 300, and processing device 500, and perform data interaction with the tunnel equipment 200, tunnel sensors 300, and processing device 500.

[0037] Among them, the cable tunnel 100 can be any one of a shield tunnel, a manhole tunnel, a pipe tunnel, a winch tunnel, etc., and no limitation is made here.

[0038] The tunnel equipment 200 can include at least any one of ventilation equipment, drainage equipment, lighting equipment, cameras, access control equipment, etc., and no limitation is made here.

[0039] The camera can be any one of a white light camera, an infrared camera, a laser camera, etc. The type of the camera is not limited here, and it can be specifically set according to actual needs.

[0040] The tunnel sensors 300 can be used to collect tunnel parameters of the cable tunnel 100, and send the collected tunnel parameters to the gateway device 400 through a network.

[0041] The tunnel sensors 300 can include at least any one of gas sensors, particulate matter sensors, temperature sensors, current sensors, voltage sensors, and liquid level sensors, and no limitation is made here.

[0042] The tunnel parameters can include at least any one of gas concentration (for example, oxygen (O2) concentration, carbon dioxide (CO2) concentration, carbon monoxide (CO) concentration, methane (CH4) concentration, ozone (O3) concentration), PM2.5 parameters, cable temperature, cable current, cable voltage, and sump well liquid level, and no limitation is made here.

[0043] The gateway device 400 can be connected to the processing device 500 through a network, and perform data interaction with the processing device 500 through the network.

[0044] The gateway device 400 can be used to control the tunnel equipment 200 to work, control the tunnel sensors 300 to collect parameters of the cable tunnel 100, and send the collected tunnel parameters to the processing device 500 through a network.

[0045] The gateway device 400 may include any one of a local area network / host gateway device, a local area network / local area network gateway device, an Internet / local area network gateway device, etc., which is not limited herein.

[0046] The network may be any one of a Bluetooth (BT) network, a 5th Generation Mobile Communication Technology (5G) network, a ZigBee network, a Wireless Fidelity (Wi-Fi) network, a Thread network, a Long Range Radio (LoRa) network, a Low-Power Wide-Area Network (LPWAN), an infrared network, a Narrow Band Internet of Things (NB-IoT), a Controller Area Network (CAN), a Digital Living Network Alliance (DLNA) network, a Wide Area Network (WAN), a Local Area Network (LAN), a Metropolitan Area Network (MAN), or a Wireless Personal Area Network (WPAN), etc., which is not limited herein.

[0047] The processing device 500 may be used to receive the tunnel parameters reported by the gateway device 400 and perform fault monitoring on the cable tunnel 100 according to the tunnel parameters.

[0048] The processing device 500 may be a terminal device or a server, etc. The type of the processing device 500 is not limited herein and may be specifically set according to actual requirements.

[0049] The terminal device may be a mobile terminal device (for example, any one of a mobile phone, a personal digital assistant (PDA), a tablet personal computer (Tablet PC), a laptop computer, a smart watch, a smart bracelet, or a wearable device, etc.), or a fixed terminal device (a desktop computer, a smart panel, etc.).

[0050] The server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), big data or artificial intelligence platforms, etc.

[0051] In some embodiments, the gateway device 400 may be configured with a network communication module. The gateway device 400 can be communicatively connected to the processing device 500 based on the network communication module and perform data interaction with the processing device 500 through the network communication module.

[0052] The network communication module can include at least any one of a Bluetooth communication module, a 5G communication module, a Zigbee communication module, a Wi-Fi communication module, a Thread communication module, a LoRa communication module, an LPWAN communication module, and an infrared communication module, etc., which is not limited herein.

[0053] In some embodiments, the cable tunnel 100 may include multiple tunnel areas. Each tunnel area may be provided with multiple tunnel devices 200, tunnel sensors 300, and at least one gateway device 400. The tunnel sensors 300 in each tunnel area can be used to collect the tunnel parameters of the tunnel area and send them to the gateway device 400 in the tunnel area. The gateway device 400 in each tunnel area can be used to control the tunnel devices 200 in the tunnel area, receive the tunnel parameters sent by the tunnel sensors 300 in the tunnel area, and send the tunnel parameters in the tunnel area to the processing device 500 through the network.

[0054] The processing device 500 can be used to receive the tunnel parameters reported by the gateway device 400 in each tunnel area and perform fault monitoring on the cable tunnel 100 according to the multiple tunnel parameters of the multiple tunnel areas.

[0055] Among them, the gateway device 400 in each tunnel area can operate independently and is not affected by other tunnel areas.

[0056] The tunnel devices 200, tunnel sensors 300, and gateway devices 400 in each tunnel area can be jointly packaged in the factory to form a partitioned and complete set for shipment, which can reduce the on-site equipment distribution time and is beneficial to improving the equipment installation efficiency in each tunnel area.

[0057] There are many configuration parameters for the gateway device 400 in each tunnel area. The configuration parameters of the gateway device 400 in each tunnel area can be copied with one key according to the tunnel area, which is beneficial to improving the configuration efficiency of parameter configuration for the gateway device 400 in each tunnel area.

[0058] In some embodiments, the fault monitoring system of the cable tunnel may further include a monitoring platform, which is connected to the processing device 500 through a network and performs data interaction with the processing device 500 through the network.

[0059] Among them, the monitoring platform can be an independent physical cloud platform, or a cloud platform cluster or distributed system composed of multiple physical cloud platforms, or can also be any one of cloud platforms that provide basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), big data, or artificial intelligence platforms, etc., which is not limited here.

[0060] Please refer to Figure 2 , which shows a flowchart of the fault monitoring method for a cable tunnel provided by an embodiment of the present application. In a specific embodiment, the fault monitoring method for a cable tunnel can be applied to the processing device 500 in the fault monitoring system of the cable tunnel as shown in Figure 1 . Taking the processing device 500 as an example, the process shown in Figure 2 will be elaborated in detail below. The fault monitoring method for a cable tunnel may include the following steps 110 to step 130.

[0061] Step 110: Obtain multiple current tunnel parameters of multiple tunnel areas.

[0062] In the embodiment of the present application, the cable tunnel may include multiple tunnel areas, and each tunnel area is provided with a tunnel sensor and a gateway device.

[0063] When the user needs to perform fault monitoring on the cable tunnel, a monitoring instruction can be sent to the processing device. The processing device receives and responds to the monitoring instruction, and sends an acquisition instruction to the gateway device of each tunnel area through the network. The gateway device of each tunnel area receives and responds to the acquisition instruction, sends a collection instruction to the tunnel sensor in the tunnel area, the tunnel sensor receives and responds to the collection instruction, performs parameter collection on the tunnel area, and sends the collected current tunnel parameters to the corresponding gateway device. Each gateway device sends the current tunnel parameters of the corresponding tunnel area to the processing device through the network, and the processing device receives one current tunnel parameter returned by the gateway device of each tunnel area to obtain multiple current tunnel parameters of multiple tunnel areas.

[0064] Among them, each current tunnel parameter may correspond to a tunnel area. The current tunnel parameters may include at least any one of the current gas concentration (for example, current O2 concentration, current CO2 concentration, current CO concentration, current CH4 concentration, current O3 concentration), current PM2.5 parameter, current cable temperature, current cable current, current cable voltage, and current sump level, etc., which are not limited here.

[0065] In some embodiments, the processing device may detect a user's operation. When it is determined according to the detected user operation that the user has input a monitoring instruction for fault monitoring of the cable tunnel, that is, a monitoring instruction for fault monitoring of the cable tunnel is received.

[0066] For example, when the user needs to perform fault monitoring on the cable tunnel, the user can perform a touch operation on the operation panel of the processing device. The processing device responds to the user's touch operation, generates a corresponding touch signal, and analyzes the touch signal. When it is determined that the touch signal is a preset monitoring signal for indicating fault monitoring of the cable tunnel, it is determined that a monitoring instruction for fault monitoring of the cable tunnel is received.

[0067] In some embodiments, the processing device may be provided with a voice recognition module. When the user needs to perform fault monitoring on the cable tunnel, the user can send a voice message within the voice collection range of the voice recognition module. The voice recognition module collects the voice message sent by the user, performs voice recognition on the collected voice message, and determines, according to the recognition result of the voice recognition, that the recognition result contains keywords for indicating fault monitoring of the cable tunnel, such as "cable tunnel fault monitoring", or for example, "cable tunnel" and "fault monitoring", etc., then it is determined that a monitoring instruction for fault monitoring of the cable tunnel is received.

[0068] As an example, the voice message sent by the user is: perform fault monitoring on the cable tunnel. Then the recognition result of the voice recognition contains the keywords "cable tunnel" and "fault monitoring", and it is determined that a monitoring instruction for fault monitoring of the cable tunnel is received.

[0069] In some embodiments, the fault monitoring system of the cable tunnel may further include a client. The client is connected to the processing device through a network and performs data interaction with the processing device through the network.

[0070] When the user needs to perform fault monitoring on the cable tunnel, a monitoring instruction may be sent to the client. The client receives and responds to the monitoring instruction, forwards the monitoring instruction to the processing device through the network, and the processing device receives the monitoring instruction forwarded by the client.

[0071] Among them, the client can be a mobile client (for example, any one of a mobile phone client, a PDA client, a Tablet PC client, a laptop client, a smart watch client, a smart bracelet client, or a wearable client, etc.) or a fixed client (for example, a desktop computer client, a smart panel client, etc.). The type of the client is not limited here, and it can be specifically set according to actual needs.

[0072] In an application scenario, as Figure 3 shown, multiple tunnel areas can include a first tunnel area, a second tunnel area, a third tunnel area, a fourth tunnel area, and a fifth tunnel area. The CO2 concentration is collected for different areas in the first tunnel area, the second tunnel area, the third tunnel area, the fourth tunnel area, and the fifth tunnel area respectively, and multiple current CO2 concentrations of each tunnel area are obtained.

[0073] Step 120: Determine a current parameter standard score for each tunnel area according to multiple current tunnel parameters, and obtain multiple current parameter standard scores.

[0074] In the embodiment of the present application, after the processing device obtains multiple current tunnel parameters of multiple tunnel areas, it can determine a current parameter standard score for each tunnel area according to the multiple current tunnel parameters, and obtain multiple current parameter standard scores.

[0075] Among them, each current parameter standard score can be used to represent the deviation degree of a corresponding current tunnel parameter relative to the current average tunnel parameter of multiple current tunnel parameters, that is, the position of the current tunnel parameter among multiple current tunnel parameters.

[0076] The processing device can calculate the current average tunnel parameter and the current tunnel parameter standard deviation of multiple current tunnel parameters according to the multiple current tunnel parameters, and calculate a current parameter standard score according to a current tunnel parameter, the current average tunnel parameter, and the current tunnel parameter standard deviation of each tunnel area. Calculate a current parameter standard score according to the current tunnel parameter of each tunnel area and the current average tunnel parameter and the current tunnel parameter standard deviation of multiple current tunnel parameters, which improves the calculation accuracy of the current parameter standard score.

[0077] In an application scenario, multiple tunnel areas can include tunnel area 1, tunnel area 2,..., tunnel area N. The current tunnel parameter of tunnel area 1 is X1, the current tunnel parameter of tunnel area 2 is X2,..., and the current tunnel parameter of tunnel area N is X N .

[0078] The current tunnel parameter X1, the current tunnel parameter X2,..., the current tunnel parameter X N, calculate the current average tunnel parameter μ according to Formula 1.

[0079] Formula 1 is: where i is the serial number of the tunnel area.

[0080] The current tunnel parameter standard deviation σ can be calculated according to the current tunnel parameters X1, current tunnel parameters X2, …, current tunnel parameters X N , according to Formula 2.

[0081] Formula 2 is:

[0082] The current parameter standard score Z corresponding to the current tunnel parameter X of the tunnel area j can be calculated according to the current average tunnel parameter μ and the current tunnel parameter standard deviation σ of the tunnel area j, according to Formula 3 j j .

[0083] Formula 3 is:

[0084] Step 130: Determine whether there are faults in multiple tunnel areas according to multiple current parameter standard scores.

[0085] In the embodiment of the present application, the processing device determines a current parameter standard score of each tunnel area according to multiple current tunnel parameters. After obtaining multiple current parameter standard scores, it can determine whether there are faults in multiple tunnel areas according to the multiple current parameter standard scores, realizing calculating a current parameter standard score of each tunnel area according to multiple current tunnel parameters of multiple monitored tunnel areas, and performing fault monitoring on the corresponding tunnel area based on each current parameter standard score, which can suppress the problem that the fault monitoring result is affected by the subjective experience of the patrol personnel due to manual patrol, and improve the monitoring accuracy of fault monitoring of the cable tunnel.

[0086] When the target current parameter standard score among multiple current parameter standard scores is greater than the standard score threshold, it is determined that the target tunnel area corresponding to the target current parameter standard score has a fault; when the target current parameter standard score is less than or equal to the standard score threshold, it is determined that the target tunnel area has no fault. Judging the fault of the tunnel area according to the current parameter standard score of each tunnel area and the standard score threshold is beneficial to improving the judgment accuracy of fault judgment of the tunnel area.

[0087] Among them, the standard score threshold can be used to represent the maximum parameter standard score for a tunnel area to have a fault. The standard score threshold can be a parameter standard score preset by the user, or a parameter standard score automatically generated by the processing device according to the process of performing fault monitoring on the cable tunnel multiple times, etc., which is not limited here.

[0088] In some embodiments, when the processing device determines that there is a fault in the target tunnel area, it can determine the regression line slope of the target current tunnel parameters in the target tunnel area, and construct a tunnel parameter prediction function of the target current tunnel parameters based on the target current tunnel parameters, the regression line slope, and time, so as to predict the tunnel parameters of the target tunnel area according to the tunnel parameter prediction function, enabling the user to timely understand the change area of the tunnel parameters in the target tunnel area and improving the user experience in the process of fault monitoring of the cable tunnel.

[0089] Among them, the regression line slope can be used to characterize the parameter change amount of the target current tunnel parameters per unit time.

[0090] When the processing device determines that there is a fault in the target tunnel area, it can obtain multiple historical tunnel parameters of the target tunnel area, perform Theil - Sen estimation on the multiple historical tunnel parameters, obtain the regression line slope, and improve the calculation accuracy of the regression line slope based on the Theil - Sen estimation of the multiple historical tunnel parameters in the target tunnel area.

[0091] In an application scenario, the multiple historical tunnel parameters of the target tunnel area may include x1, x2, x3, …, x n , the sampling time corresponding to x1 is t1, the sampling time corresponding to x2 is t2, the sampling time corresponding to x3 is t3, …, x n corresponds to the sampling time t n .

[0092] As Figure 4 shown, the historical tunnel parameter change rate θ i corresponding to the sampling time t i and the historical tunnel parameter x j corresponding to the sampling time t j can be calculated according to Formula 4 for the historical tunnel parameter change rate from the sampling time t i to the sampling time t j , obtaining the historical tunnel parameter change rate group (θ ij , θ 12 , θ 13 , …, θ 14 , …, θ n-1，n ).

[0093] Formula 4 is:

[0094] θ 12 represents the historical tunnel parameter change rate from the sampling time t1 to the sampling time t2, θ 13 represents the historical tunnel parameter change rate from the sampling time t1 to the sampling time t3, θ 14 represents the historical tunnel parameter change rate from the sampling time t1 to the sampling time t4, …, θn-1，n Indicates the sampling time t n-1 Up to the sampling time t n The historical change rate of tunnel parameters

[0095] Sort the historical tunnel parameter change rate group (θ 12 , θ 13 , θ 14 , …, θ n-1，n ) from small to large, and then take the median as the regression line slope

[0096] When the number of data in the historical tunnel parameter change rate group (θ 12 , θ 13 , θ 14 , …, θ n-1，n ) is odd, take the historical tunnel parameter change rate in the middle of the median; when the number of data in the historical tunnel parameter change rate group (θ 12 , θ 13 , θ 14 , …, θ n-1，n ) is even, take the median as the average of the two historical tunnel parameter change rates in the middle

[0097] In some embodiments, after the processing device constructs a tunnel parameter prediction function for the target current tunnel parameter based on the target current tunnel parameter, the regression line slope, and time, it can calculate the safe handling duration according to the warning threshold of the target current tunnel parameter and the tunnel parameter prediction function, and send the safe handling duration to the client associated with the operation and maintenance personnel, realizing predicting the safe handling duration of the target tunnel area based on the tunnel parameter prediction function when a fault is detected in the target tunnel area, and pushing the safe handling duration to the operation and maintenance personnel, so that the operation and maintenance personnel can plan a reasonable operation and maintenance time for the target tunnel area according to the safe handling duration, improving the user experience in the process of fault monitoring of the cable tunnel

[0098] Among them, the warning threshold can be used to represent the maximum tunnel parameter when the tunnel area is in a safe state. The warning threshold can be a tunnel parameter preset by the user, or a tunnel parameter automatically generated by the processing device according to the process of multiple fault monitoring of the cable tunnel, etc., which is not limited here

[0099] In an application scenario, as shown in Table 1, the tunnel parameters can include O2 concentration, CO2 concentration, CO concentration, CH4 concentration, O3 concentration, PM2.5 parameter, cable temperature, cable current, and sump well liquid level, etc

[0100] Table 1

[0101] Tunnel parameters Sampling period Standard score threshold Regression line slope threshold 4-day prediction value threshold <![CDATA[O2 concentration]]> 1 min -2 -2 ppm / h 20％ <![CDATA[CO2 concentration]]> 1 min 2 3 ppm / h 100 ppm CO concentration 1 min 2 0.12 ppm / h 10 ppm <![CDATA[CH4 concentration]]> 1 min 2 480 ppm / h 50000 ppm <![CDATA[O3 concentration]]> 1 min 2 <![CDATA[1μg / m 3 > <![CDATA[100μg / m 3 > PM2.5 parameters 10s 2 <![CDATA[1μg / m 3 > <![CDATA[100μg / m 3 > Cable temperature 10s 2 0.5℃ / s 70℃ Cable current 10s 2 - μA Sump well liquid level 10s 2 5 cm / s V

[0102] The sampling period of O2 concentration is 1 min, the standard score threshold of O2 concentration is -2, the regression line slope of O2 concentration is -2 ppm / h, and the 4-day prediction threshold of O2 concentration is 20%.

[0103] When the standard score of O2 concentration is greater than -2, it can be judged that there may be ventilation problems in the corresponding tunnel area; when the regression line slope of O2 concentration is greater than -2 ppm / h, it can be judged that there may be continuous cable heating problems in the corresponding tunnel area; when the 4-day predicted value of O2 concentration is less than 20%, it can be judged that there may be hypoxia in the corresponding tunnel area.

[0104] The sampling period of CO2 concentration is 1 min, the standard score threshold of CO2 concentration is 2, the regression line slope of CO2 concentration is 3 ppm / h, and the 4-day predicted value of CO2 concentration is 1000 ppm.

[0105] When the standard score of CO2 concentration is greater than 2, it can be judged that there may be ventilation problems in the corresponding tunnel area; when the regression line slope of CO2 concentration is greater than 3 ppm / h, it can be judged that there may be continuous cable heating problems in the corresponding tunnel area; when the 4-day predicted value of CO2 concentration is greater than 1000 ppm, it can be judged that there may be a fire risk in the corresponding tunnel area.

[0106] The sampling period of CO concentration is 1 min, the standard score threshold of CO concentration is 2, the regression line slope of CO concentration is 0.12 ppm / h, and the 4-day predicted value of CO concentration is 10 ppm.

[0107] When the standard score of CO concentration is greater than 2, it can be judged that there may be ventilation problems in the corresponding tunnel area; when the regression line slope of CO concentration is greater than 0.12 ppm / h, it can be judged that there may be continuous cable heating problems in the corresponding tunnel area; when the 4-day predicted value of CO concentration is greater than 10 ppm, it can be judged that there may be a fire risk in the corresponding tunnel area.

[0108] The sampling period of CH4 concentration is 1 min, the standard score threshold of CH4 concentration is 2, the regression line slope of CH4 concentration is 480 ppm / h, and the 4-day predicted value of CH4 concentration is 50000 ppm.

[0109] When the standard score of CH4 concentration is greater than 2, it can be judged that there may be ventilation problems in the corresponding tunnel area; when the regression line slope of CH4 concentration is greater than 480 ppm / h, it can be judged that there may be continuous cable heating problems in the corresponding tunnel area; when the 4-day predicted value of CH4 concentration is greater than 50000 ppm, it can be judged that there may be a fire risk in the corresponding tunnel area.

[0110] The sampling period of O3 concentration is 1 min, the standard score threshold of O3 concentration is 2, the regression line slope of O3 concentration is 1 μg / m 3 , and the 4-day predicted value of O3 concentration is 100 μg / m 3 .

[0111] When the standard score of O3 concentration is greater than 2, it can be judged that there may be ventilation problems in the corresponding tunnel area; when the regression line slope of O3 concentration is greater than 1 μg / m 3 , it can be judged that there may be continuous cable heating problems in the corresponding tunnel area; when the 4-day predicted value of O3 concentration is greater than 100 μg / m 3 , it can be judged that there may be a fire risk in the corresponding tunnel area.

[0112] The sampling period of PM2.5 parameter is 10 s, the standard score threshold of PM2.5 parameter is 2, the regression line slope of PM2.5 parameter is 1 μg / m 3 , and the 4-day predicted value of PM2.5 parameter is less than 100 μg / m 3 .

[0113] When the standard score of PM2.5 parameter is greater than 2, it can be judged that there may be ventilation problems in the corresponding tunnel area; when the regression line slope of PM2.5 parameter is greater than 1 μg / m 3 , it can be judged that there may be continuous cable heating problems in the corresponding tunnel area; when the 4-day predicted value of PM2.5 parameter is greater than 100 μg / m 3 , it can be judged that there may be a fire risk in the corresponding tunnel area.

[0114] The sampling period of cable temperature is 10 s, the standard score threshold of cable temperature is 2, the regression line slope of cable temperature is 0.5 °C, and the 4-day predicted value of cable temperature is 70 °C.

[0115] When the standard score of cable temperature is greater than 2, it can be judged that there may be a short circuit fault in the corresponding tunnel area; when the regression line slope of cable temperature is greater than 0.5 °C / s, it can be judged that there may be continuous cable heating problems in the corresponding tunnel area; when the 4-day predicted value of cable temperature is greater than 70 °C, it can be judged that there may be a fire risk in the corresponding tunnel area.

[0116] The sampling period of cable current is 10 s, the standard score threshold of cable current is 2, and the 4-day predicted value of cable current is less than UmA.

[0117] Among them, U can be the maximum current value set by the user according to actual needs.

[0118] When the standard score of cable temperature is greater than 2, it can be judged that there may be a short circuit fault in the corresponding tunnel area.

[0119] The sampling period of the sump well liquid level is 10 s, the standard score threshold of the sump well liquid level is 2, the regression line slope of the sump well liquid level is 5 cm / s, and the 4-day predicted value of the sump well liquid level is less than Vm.

[0120] Wherein, V can be the maximum sump well liquid level set by the user according to actual needs.

[0121] When the regression line slope of the sump well liquid level is greater than 5 cm / s, it can be determined that there may be a waterlogging fault in the corresponding tunnel area.

[0122] In an application scenario, the target current tunnel parameter is the current CO2 concentration, and the current CO2 concentration is 680 ppm. The gateway device in the target tunnel area monitors that the CO2 concentration of the previous day shows an upward trend, and calculates the regression line slope as 0.06 ppm / min according to the CO2 concentration of the previous day. Then, according to the current CO2 concentration of 680 ppm, the regression line slope of 0.06 ppm / min, and the time T, a CO2 concentration prediction function of the current CO2 concentration can be constructed.

[0123] The CO2 concentration prediction function is: X = 0.06T + 680.

[0124] If the warning threshold of the CO2 concentration is 1000 ppm, substituting the warning threshold of 1000 ppm into the CO2 concentration prediction function X = 0.06T + 680, the safe disposal duration is obtained as 88 h, indicating that the target tunnel area is in a safe state within the next 88 h, and the processing device can send the safe disposal duration of 88 hours to the client associated with the operation and maintenance personnel.

[0125] The solution provided by this application obtains multiple current tunnel parameters of multiple tunnel areas, each current tunnel parameter corresponding to a tunnel area, determines a current parameter standard score for each tunnel area according to the multiple current tunnel parameters, obtains multiple current parameter standard scores, and determines whether there are faults in the multiple tunnel areas according to the multiple current parameter standard scores, realizing calculating a current parameter standard score for each tunnel area based on the monitored multiple current tunnel parameters of the multiple tunnel areas, and performing fault monitoring on the corresponding tunnel area based on each current parameter standard score, which can suppress the problem that the fault monitoring result is affected by the subjective experience of the inspection personnel caused by manual inspection, and improves the monitoring accuracy of fault monitoring for cable tunnels.

[0126] Please refer to Figure 5 which shows the flowchart of the fault monitoring method for a cable tunnel provided by another embodiment of this application. In a specific embodiment, the fault monitoring method for a cable tunnel can be applied to, for example, Figure 1The processing device 500 in the fault monitoring system of the cable tunnel shown below will be taken as an example to elaborate on the Figure 5 process shown in detail. The fault monitoring method for the cable tunnel may include the following steps 210 to step 240.

[0127] Step 210: Obtain multiple current tunnel parameters of multiple tunnel areas.

[0128] Step 220: Determine a current parameter standard score for each tunnel area according to the multiple current tunnel parameters, and obtain multiple current parameter standard scores.

[0129] Step 230: Determine whether there are faults in multiple tunnel areas according to the multiple current parameter standard scores.

[0130] In this embodiment, steps 210, 220, and 230 may refer to the content of the corresponding steps in the foregoing embodiments, and will not be elaborated here.

[0131] Step 240: When it is determined that the target tunnel area in the multiple tunnel areas has a fault, generate an alarm message.

[0132] In this embodiment, when the processing device determines that the target tunnel area in the multiple tunnel areas has a fault, an alarm message can be generated so that the user can handle the target tunnel area according to the alarm message, which is beneficial to improving the operation safety of the cable tunnel.

[0133] Among them, the alarm message may include at least any one of a text alarm message, a sound alarm message, and a light alarm message, etc., which is not limited here.

[0134] In some embodiments, when the processing device determines that the target tunnel area in the multiple tunnel areas has a fault, a shutdown instruction can be sent to the target gateway device in the target tunnel area through the network. The target gateway device receives and responds to the shutdown instruction, and controls the target tunnel device in the target tunnel area to shut down, so as to reduce the damage degree of the target tunnel device when the target tunnel area has a fault, which is beneficial to improving the service life of the target tunnel device.

[0135] The solution provided in this embodiment obtains multiple current tunnel parameters of multiple tunnel areas, determines a current parameter standard score for each tunnel area according to the multiple current tunnel parameters, obtains multiple current parameter standard scores, and determines whether there are faults in the multiple tunnel areas according to the multiple current parameter standard scores. When it is determined that a target tunnel area among the multiple tunnel areas has a fault, an alarm message is generated, which realizes calculating a current parameter standard score for each tunnel area based on the multiple current tunnel parameters of the monitored multiple tunnel areas, and performing fault monitoring on the corresponding tunnel area based on each current parameter standard score. This can suppress the problem that the fault monitoring result is affected by the subjective experience of the inspection personnel due to manual inspection, and improve the monitoring accuracy of fault monitoring for cable tunnels.

[0136] Furthermore, when it is determined that a target tunnel area among the multiple tunnel areas has a fault, an alarm message is generated so that the user can dispose of the target tunnel area according to the alarm message, which is beneficial to improving the operation safety of the cable tunnel.

[0137] Please refer to Figure 6 , which shows a fault monitoring device 600 for a cable tunnel provided in an embodiment of the present application. In a specific embodiment, the fault monitoring device 600 for a cable tunnel can be applied to a processing device 500 in a fault monitoring system for a cable tunnel as shown in Figure 1 . Taking the processing device 500 as an example, the fault monitoring device 600 for a cable tunnel shown in Figure 6 will be elaborated in detail below. The fault monitoring device 600 for a cable tunnel can include an acquisition module 610, a first determination module 620, and a second determination module 630.

[0138] The acquisition module 610 can be used to acquire multiple current tunnel parameters of multiple tunnel areas, and each current tunnel parameter can correspond to a tunnel area; the first determination module 620 can be used to determine a current parameter standard score for each tunnel area according to the multiple current tunnel parameters, and obtain multiple current parameter standard scores; the second determination module 630 can be used to determine whether there are faults in the multiple tunnel areas according to the multiple current parameter standard scores.

[0139] In some embodiments, the first determination module 620 can include a first calculation unit and a second calculation unit.

[0140] The first calculation unit can be used to calculate the current average tunnel parameter and the current tunnel parameter standard deviation according to the multiple current tunnel parameters; the second calculation unit can be used to calculate a current parameter standard score according to a current tunnel parameter, the current average tunnel parameter, and the current tunnel parameter standard deviation of each tunnel area.

[0141] In some embodiments, the second determination module 630 may include a first determination unit and a second determination unit.

[0142] The first determination unit may be configured to determine that there is a fault in the target tunnel area corresponding to the target current parameter standard score when the target current parameter standard score among multiple current parameter standard scores is greater than the standard score threshold; the second determination unit may be configured to determine that there is no fault in the target tunnel area when the target current parameter standard score is less than or equal to the standard score threshold.

[0143] In some embodiments, the fault monitoring device 600 for a cable tunnel may further include a third determination module and a construction module.

[0144] The third determination module may be configured to determine the regression line slope of the target current tunnel parameters of the target tunnel area when it is determined that there is a fault in the target tunnel area, and the regression line slope may be used to characterize the parameter change amount of the target current tunnel parameters per unit time; the construction module may be configured to construct a tunnel parameter prediction function of the target current tunnel parameters based on the target current tunnel parameters, the regression line slope, and time.

[0145] In some embodiments, the third determination module may include an acquisition unit and an estimation unit.

[0146] The acquisition unit may be configured to acquire multiple historical tunnel parameters of the target tunnel area when it is determined that there is a fault in the target tunnel area; the estimation unit may be configured to perform Theil-Sen estimation on the multiple historical tunnel parameters to obtain the regression line slope.

[0147] In some embodiments, the fault monitoring device 600 for a cable tunnel may further include a calculation module and a sending module.

[0148] The calculation module may be configured to calculate the safe handling duration according to the warning threshold of the target current tunnel parameters and the tunnel parameter prediction function; the sending module may be configured to send the safe handling duration to the client associated with the operation and maintenance personnel.

[0149] In some embodiments, the fault monitoring device 600 for a cable tunnel may further include a generation module.

[0150] The generation module may be configured to generate an alarm message when it is determined that there is a fault in the target tunnel area among multiple tunnel areas.

[0151] The solution provided in this embodiment obtains multiple current tunnel parameters of multiple tunnel areas, where each current tunnel parameter corresponds to a tunnel area, determines a current parameter standard score for each tunnel area based on the multiple current tunnel parameters to obtain multiple current parameter standard scores, and determines whether there are faults in the multiple tunnel areas based on the multiple current parameter standard scores. It realizes calculating a current parameter standard score for each tunnel area based on the monitored multiple current tunnel parameters of the multiple tunnel areas, and performing fault monitoring on the corresponding tunnel area based on each current parameter standard score. It can suppress the problem that the fault monitoring result is affected by the subjective experience of the inspection personnel caused by manual inspection, and improves the monitoring accuracy of fault monitoring for cable tunnels.

[0152] It should be noted that the various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the parts that are the same or similar among the various embodiments, reference can be made to each other. For device embodiments, since they are basically similar to method embodiments, the description is relatively simple, and reference can be made to the relevant parts of the method embodiments for the relevant parts. For any processing method described in the method embodiments, it can be implemented by the corresponding processing module in the device embodiments, and will not be elaborated one by one in the device embodiments.

[0153] In addition, in each embodiment of the present application, the various functional modules can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0154] Please refer to Figure 7 , which shows a functional block diagram of an electronic device 700 provided in an embodiment of the present application. The electronic device 700 may include one or more of the following components: a memory 710, a processor 720, and one or more application programs, where one or more application programs may be stored in the memory 710 and configured to be executed by one or more processors 720. One or more application programs are configured to execute the method described in the foregoing method embodiments.

[0155] The memory 710 may include a Random Access Memory (RAM), or may also include a Read-Only Memory. The memory 710 may be used to store instructions, programs, codes, code sets, or instruction sets. The memory 710 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as obtaining multiple current tunnel parameters, determining a current parameter standard score, obtaining multiple current parameter standard scores, determining whether a fault exists, calculating a current average tunnel parameter, calculating a current tunnel parameter standard deviation, calculating a current parameter standard score, determining that a fault exists, determining that no fault exists, determining a regression line slope, constructing a tunnel parameter prediction function, obtaining multiple historical tunnel parameters, Theil-Sen estimation, obtaining a regression line slope, calculating a safe handling duration, sending a safe handling duration, and generating an alarm message, etc.), instructions for implementing the following various method embodiments, etc. The data storage area may also store data created during the use of the electronic device 700 (such as multiple tunnel regions, multiple current tunnel parameters, each current tunnel parameter, one tunnel region, one current parameter standard score, multiple current parameter standard scores, current average tunnel parameter, current tunnel parameter standard deviation, target current parameter standard score, standard score threshold, target current tunnel parameter, regression line slope, unit time, parameter change amount, tunnel parameter prediction function, multiple historical tunnel parameters, safe handling duration, operation and maintenance personnel, client, and alarm message, etc.).

[0156] The processor 720 may include one or more processing cores. The processor 720 connects various parts within the entire electronic device 700 through various interfaces and lines. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 710, and by calling the data stored in the memory 710, it performs various functions of the electronic device 700 and processes data. Optionally, the processor 720 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 720 may integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the display content; the modem is used to process wireless communication. It can be understood that the above modem may not be integrated into the processor 720 and may be implemented separately through a communication chip.

[0157] Please refer to Figure 8 , which shows a structural block diagram of a computer-readable storage medium provided by an embodiment of the present application. Program code 810 is stored in the computer-readable storage medium 800, and the program code 810 can be called by a processor to execute the method described in the above method embodiment.

[0158] The computer-readable storage medium 800 may be an electronic memory such as a flash memory, EEPROM (electrically erasable programmable read-only memory), EPROM, hard disk, or ROM. Optionally, the computer-readable storage medium 800 includes a non-transitory computer-readable storage medium. The computer-readable storage medium 800 has a storage space for the program code 810 that executes any method step in the above method. These program codes may be read out from or written into one or more computer program products. The program code 810 may be compressed in an appropriate form, for example.

[0159] Please refer to Figure 9, which shows a structural block diagram of a computer program product 900 provided by an embodiment of the present application. The computer program product 900 includes computer programs / instructions 910, and the computer programs / instructions 910 are stored in a computer-readable storage medium of a computer device. When the computer program product 900 runs on the computer device, a processor of the computer device reads the computer programs / instructions 910 from the computer-readable storage medium, and the processor executes the computer programs / instructions 910, so that the computer device executes the method described in the above method embodiment.

[0160] The solution provided in this embodiment realizes calculating a current parameter standard score for each tunnel area based on multiple current tunnel parameters monitored for multiple tunnel areas, and performing fault monitoring on a corresponding tunnel area based on each current parameter standard score by obtaining multiple current tunnel parameters for multiple tunnel areas, where each current tunnel parameter corresponds to a tunnel area, determining a current parameter standard score for each tunnel area based on the multiple current tunnel parameters to obtain multiple current parameter standard scores, and determining whether there are faults in the multiple tunnel areas based on the multiple current parameter standard scores. This can suppress the problem that the fault monitoring result is affected by the subjective experience of the inspection personnel due to manual inspection, and improve the monitoring accuracy of fault monitoring for cable tunnels.

[0161] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A cable tunnel fault monitoring method, characterized in that: include: Acquire multiple current tunnel parameters of multiple tunnel areas, each current tunnel parameter corresponds to one tunnel area; Determine a current parameter standard score for each tunnel area according to the multiple current tunnel parameters to obtain multiple current parameter standard scores; It is determined whether the plurality of tunnel areas have faults according to the plurality of current parameter standard scores.

2. The fault monitoring method according to claim 1, characterized in that: The step of determining a current parameter standard score for each tunnel area according to the multiple current tunnel parameters includes: Calculate a current average tunnel parameter and a current tunnel parameter standard deviation according to the multiple current tunnel parameters; The current parameter standard score is calculated according to the current tunnel parameter of each tunnel area, the current average tunnel parameter and the current tunnel parameter standard deviation.

3. The fault monitoring method according to claim 1, characterized in that: The determining whether the multiple tunnel areas have faults according to the multiple current parameter standard scores includes: When a target current parameter standard score among the multiple current parameter standard scores is greater than a standard score threshold, determining that a fault exists in a target tunnel area corresponding to the target current parameter standard score; When the target current parameter standard score is less than or equal to the standard score threshold, it is determined that no fault exists in the target tunnel area.

4. The fault monitoring method according to claim 3, characterized in that: Also includes: When it is determined that a fault exists in the target tunnel area, determining a regression line slope of a target current tunnel parameter in the target tunnel area, wherein the regression line slope is used to characterize a parameter change amount of the target current tunnel parameter per unit time; A tunnel parameter prediction function of the target current tunnel parameter is constructed based on the target current tunnel parameter, the regression line slope and time.

5. The fault monitoring method according to claim 4, characterized in that: When it is determined that a fault exists in the target tunnel area, determining a regression line slope of a target current tunnel parameter in the target tunnel area includes: When it is determined that a fault exists in the target tunnel area, obtaining a plurality of historical tunnel parameters of the target tunnel area; The multiple historical tunnel parameters are estimated using the Theil-Sen method to obtain the slope of the regression line.

6. The fault monitoring method according to claim 4, characterized in that: Also includes: Calculating the safe handling time according to the warning threshold of the target current tunnel parameter and the tunnel parameter prediction function; The security handling duration is sent to a client associated with the operation and maintenance personnel.

7. The fault monitoring method according to any one of claims 1 to 6, characterized in that: Also includes: When it is determined that a fault exists in the target tunnel area among the multiple tunnel areas, alarm information is generated.

8. A fault monitoring device for a cable tunnel, characterized in that: include: An acquisition module, used for acquiring a plurality of current tunnel parameters of a plurality of tunnel areas, each current tunnel parameter corresponding to a tunnel area; A first determination module is used to determine a current parameter standard score for each tunnel area according to the multiple current tunnel parameters to obtain multiple current parameter standard scores; The second determination module is configured to determine whether there are faults in the plurality of tunnel areas according to the plurality of current parameter standard scores.

9. An electronic device, characterized in that: include: Memory; One or more processors coupled to the memory; One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to execute the fault monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program codes, and the program codes can be called by a processor to execute the fault monitoring method according to any one of claims 1 to 7.

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