Intelligent detection method and device for power equipment fault of expressway tunnel

Abstract

The invention discloses an intelligent detection method and device for power equipment faults of a highway tunnel, and the method comprises the steps: building a three-dimensional tunnel model of the highway tunnel, collecting the current information of all power equipment in the tunnel, inputting the current information into a current analysis artificial intelligence model, obtaining a corresponding current information analysis result, and obtaining a current information analysis result; when the analysis result shows that the current information is abnormal, determining the power equipment as to-be-rechecked equipment; determining the position of the to-be-rechecked equipment and rechecking the to-be-rechecked equipment to obtain a rechecking result; when the recheck result shows that the to-be-rechecked equipment has a fault, determining that the to-be-rechecked equipment is to-be-maintained equipment and performing maintenance; therefore, the current information of all the power equipment in the expressway tunnel can be collected and input into the current analysis artificial intelligence model for analysis, when the current information is abnormal, reinspection is carried out, the to-be-maintained equipment is determined according to the reinspection result for maintenance, and the detection accuracy and efficiency of the fault of the power equipment in the expressway tunnel can be improved.

Description

Technical Field

[0001] The present invention relates to the field of highway power technology, and in particular to an intelligent detection method and device for highway tunnel power equipment faults. Background Art

[0002] With the continuous development of highway tunnel construction, power equipment in tunnels, such as lighting systems, ventilation systems, and monitoring systems, are crucial to the normal operation and safety of tunnels. However, the tunnel environment is complex, and power equipment is easily affected by factors such as humidity, temperature changes, and dust, resulting in frequent failures. Traditional equipment fault monitoring mainly relies on manual inspection and regular maintenance, which is not only inefficient, but also prone to missed detection and misjudgment. Therefore, it is particularly important to provide an intelligent detection solution for highway tunnel power equipment failures to improve the detection accuracy and efficiency of highway tunnel power equipment failures. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent detection method and device for highway tunnel power equipment faults, which can improve the detection accuracy and efficiency of highway tunnel power equipment faults.

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent detection method for faults of power equipment in a highway tunnel, the method comprising: Establishing a three-dimensional tunnel model corresponding to the highway tunnel; the three-dimensional tunnel model is marked with the locations of all power equipment in the highway tunnel; Collecting current information of all the power equipment in the highway tunnel within a first target time period; For each of the electric power equipment, the current information of the electric power equipment in the first target time period is input into a predetermined current analysis artificial intelligence model to obtain a current information analysis result corresponding to the electric power equipment; when the current information analysis result corresponding to the electric power equipment is used to indicate that the current information of the electric power equipment in the first target time period is abnormal, the electric power equipment is determined as a device to be re-inspected; For each of the equipment to be re-inspected, the position of the equipment to be re-inspected is determined by the three-dimensional tunnel model; and based on the position of the equipment to be re-inspected, the equipment to be re-inspected is re-inspected to obtain a re-inspection result of the equipment to be re-inspected; when the re-inspection result of the equipment to be re-inspected is used to indicate that the equipment to be re-inspected has a fault, the equipment to be re-inspected is determined to be a equipment to be repaired, and a repair operation is performed on the equipment to be repaired.

[0005] As an optional embodiment, in the first aspect of the present invention, the method further comprises: Collecting an environmental parameter set corresponding to the highway tunnel, wherein the environmental parameter set includes at least one of a humidity parameter, a temperature parameter, and an air quality parameter; When each environmental parameter in the environmental parameter set satisfies a preset normal environmental parameter condition, all power equipment in the highway tunnel is inspected based on a first time interval, and when a power equipment is found to be faulty during the inspection, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; When at least one environmental parameter in the environmental parameter set does not meet the normal environmental parameter condition, all power equipment in the highway tunnel is inspected based on a second time interval, and when a fault is found in any power equipment during the inspection, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; wherein the second time interval is smaller than the first time interval.

[0006] As an optional implementation manner, in the first aspect of the present invention, when the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, determining that the device to be re-inspected is a device to be repaired, and performing a repair operation on the device to be repaired includes: When the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, the device to be re-inspected is determined to be a device to be repaired, and an estimated repair time corresponding to the device to be repaired is determined; Collecting real-time traffic flow data of the highway tunnel, and determining an estimated maintenance time period corresponding to the equipment to be maintained based on the real-time traffic flow data of the highway tunnel and the estimated maintenance time period corresponding to the equipment to be maintained; Based on the estimated maintenance time period corresponding to the equipment to be maintained, performing maintenance operations on the equipment to be maintained; And, the method further comprises: Based on the estimated maintenance time period corresponding to each of the equipment to be maintained, maintenance reminder information corresponding to the highway tunnel is sent to all target vehicles traveling on the highway where the highway tunnel is located; the maintenance reminder information includes the estimated maintenance time period corresponding to the equipment to be maintained; the target vehicles are vehicles that have not yet passed through the highway tunnel.

[0007] As an optional implementation, in the first aspect of the present invention, the power equipment at least includes a monitoring device and a non-monitoring device; Furthermore, before determining the position of each device to be re-inspected by using the three-dimensional tunnel model, the method further includes: For each monitoring device in the highway tunnel, the monitoring device is inspected. When it is detected that the monitoring device has a missing monitoring screen and / or a change in the monitoring angle, the corresponding position of the monitoring device in the highway tunnel is determined based on the three-dimensional tunnel model corresponding to the highway tunnel, and the monitoring device is determined as a device to be re-inspected.

[0008] As an optional implementation, in the first aspect of the present invention, the non-monitoring equipment includes at least lighting equipment and ventilation equipment; And, the method further comprises: Divide the highway tunnel into a number of tunnel sections; For each of the tunnel partitions, the lighting brightness of the tunnel partition is detected within the second target time period. When it is detected that the lighting brightness of the tunnel partition is lower than a preset lighting brightness threshold and / or the lighting brightness changes within the second target time period, all of the lighting devices of the tunnel partition and the corresponding positions of all of the lighting devices in the highway tunnel are determined based on the three-dimensional tunnel model corresponding to the highway tunnel; for each of the lighting devices in the tunnel partition, the lighting device is determined as a device to be re-inspected.

[0009] As an optional embodiment, in the first aspect of the present invention, the method further comprises: For each of the monitoring devices, determining a target power device corresponding to the monitoring device; the target power device is all the power devices within a monitoring viewing angle when the monitoring device performs a monitoring operation; For each of the monitoring devices, when the monitoring device performs a monitoring operation, a fault detection operation is performed on the target power equipment in the real-time monitoring screen of the monitoring device based on a predetermined equipment fault identification model; when a fault is detected in the target power equipment in the real-time monitoring screen of the monitoring device, the corresponding position of the faulty target power equipment in the highway tunnel is determined based on the three-dimensional tunnel model corresponding to the highway tunnel, and the faulty target power equipment is determined as the equipment to be re-inspected.

[0010] As an optional embodiment, in the first aspect of the present invention, the method further comprises: For each of the electric power equipment in the highway tunnel, determining the associated electric power equipment corresponding to the electric power equipment; the associated electric power equipment includes electric power equipment that will be affected by the failure of the electric power equipment and / or electric power equipment that will have an impact on the electric power equipment if a failure occurs; Based on each power device in the highway tunnel and the associated power devices corresponding to the power device, a directed association graph of the equipment corresponding to the highway tunnel is established; the directed association graph of the equipment includes a number of nodes and directed connecting lines between the nodes; the nodes correspond to each of the power devices, and the directed connecting lines are used to represent the causal relationship between each of the power devices and the associated power devices; When there are at least two of the equipment to be repaired in the highway tunnel, based on the directed association graph of the equipment corresponding to the highway tunnel, it is determined whether there is a connection relationship between the nodes corresponding to the two equipment to be repaired through nodes and directed connection lines; if so, the power equipment corresponding to all nodes passed by the connection relationship between the nodes corresponding to the two equipment to be repaired is determined as the equipment to be re-inspected.

[0011] The second aspect of the present invention discloses an intelligent detection device for faults of power equipment in a highway tunnel, the device comprising: A building module is used to build a three-dimensional tunnel model corresponding to the highway tunnel; the three-dimensional tunnel model is marked with the locations of all power equipment in the highway tunnel; A collection module, used for collecting current information of all the power equipment in the highway tunnel within a first target time period; An analysis module is used to input the current information of each of the electric power equipment in the first target time period into a predetermined current analysis artificial intelligence model to obtain a current information analysis result corresponding to the electric power equipment; when the current information analysis result corresponding to the electric power equipment is used to indicate that the current information of the electric power equipment in the first target time period is abnormal, the electric power equipment is determined as a device to be re-inspected; The re-inspection module is used to determine the position of each device to be re-inspected through the three-dimensional tunnel model; and re-inspect the device to be re-inspected based on the position of the device to be re-inspected to obtain a re-inspection result of the device to be re-inspected; when the re-inspection result of the device to be re-inspected is used to indicate that the device to be re-inspected has a fault, determine that the device to be re-inspected is a device to be repaired, and perform a repair operation on the device to be repaired.

[0012] As an optional implementation, in the second aspect of the present invention, the device further includes: A patrol module is used to collect an environmental parameter set corresponding to the highway tunnel, wherein the environmental parameter set includes at least one of a humidity parameter, a temperature parameter and an air quality parameter; when each environmental parameter in the environmental parameter set meets the preset normal environmental parameter condition, all power equipment in the highway tunnel is patrolled based on a first time interval, and when a fault is detected in any power equipment during patrol, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; when at least one environmental parameter in the environmental parameter set does not meet the normal environmental parameter condition, all power equipment in the highway tunnel is patrolled based on a second time interval, and when a fault is detected in any power equipment during patrol, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; wherein the second time interval is less than the first time interval.

[0013] As an optional implementation, in the second aspect of the present invention, when the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, the re-inspection module determines that the device to be re-inspected is a device to be repaired, and performs a repair operation on the device to be repaired, specifically in the following manner: When the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, the device to be re-inspected is determined to be a device to be repaired, and an estimated repair time corresponding to the device to be repaired is determined; Collecting real-time traffic flow data of the highway tunnel, and determining an estimated maintenance time period corresponding to the equipment to be maintained based on the real-time traffic flow data of the highway tunnel and the estimated maintenance time period corresponding to the equipment to be maintained; Based on the estimated maintenance time period corresponding to the equipment to be maintained, performing maintenance operations on the equipment to be maintained; And, the device further comprises: A prompt module is used to send maintenance prompt information corresponding to the expressway tunnel to all target vehicles traveling on the expressway where the expressway tunnel is located based on the expected maintenance time period corresponding to each of the equipment to be maintained; the maintenance prompt information includes the expected maintenance time period corresponding to the equipment to be maintained; and the target vehicles are vehicles that have not yet passed through the expressway tunnel.

[0014] As an optional implementation, in the second aspect of the present invention, the power equipment at least includes a monitoring device and a non-monitoring device; And, the device further comprises: The first monitoring module is used to detect each monitoring device in the highway tunnel before the re-inspection module determines the position of each device to be re-inspected through the three-dimensional tunnel model, and when it is detected that the monitoring device has a missing monitoring screen and / or a change in the monitoring angle, determine the corresponding position of the monitoring device in the highway tunnel based on the three-dimensional tunnel model corresponding to the highway tunnel, and determine the monitoring device as the device to be re-inspected.

[0015] As an optional implementation, in the second aspect of the present invention, the non-monitoring equipment includes at least lighting equipment and ventilation equipment; And, the device further comprises: A lighting module is used to divide a highway tunnel into a plurality of tunnel partitions; for each of the tunnel partitions, the lighting brightness of the tunnel partition is detected within a second target time period; when it is detected that the lighting brightness of the tunnel partition is lower than a preset lighting brightness threshold and / or the lighting brightness changes within the second target time period, all the lighting devices of the tunnel partition and the corresponding positions of all the lighting devices in the highway tunnel are determined based on a three-dimensional tunnel model corresponding to the highway tunnel; for each of the lighting devices in the tunnel partition, the lighting device is determined as a device to be re-inspected.

[0016] As an optional implementation, in the second aspect of the present invention, the device further includes: The second monitoring module is used to determine, for each of the monitoring devices, the target power equipment corresponding to the monitoring device; the target power equipment is all the power equipment within the monitoring field of view when the monitoring device performs the monitoring operation; for each of the monitoring devices, when the monitoring device performs the monitoring operation, a fault detection operation is performed on the target power equipment in the real-time monitoring screen of the monitoring device based on a predetermined device fault identification model; when a fault is detected in the target power equipment in the real-time monitoring screen of the monitoring device, the corresponding position of the faulty target power equipment in the highway tunnel is determined based on the three-dimensional tunnel model corresponding to the highway tunnel, and the faulty target power equipment is determined as the equipment to be re-inspected.

[0017] As an optional implementation, in the second aspect of the present invention, the device further includes: An association detection module is used to determine, for each of the power equipment in the highway tunnel, the associated power equipment corresponding to the power equipment; the associated power equipment includes the power equipment that will be affected by the failure of the power equipment and\or the power equipment that will have an impact on the power equipment if it fails; a directed association graph of equipment corresponding to the highway tunnel is established based on each of the power equipment in the highway tunnel and the associated power equipment corresponding to the power equipment; the directed association graph of equipment includes a number of nodes and directed connecting lines between the nodes; the node corresponds to each of the power equipment, and the directed connecting line is used to represent the causal relationship between each of the power equipment and its associated power equipment; when there are at least two of the equipment to be repaired in the highway tunnel, based on the directed association graph of equipment corresponding to the highway tunnel, it is determined whether there is a connection relationship between the nodes corresponding to the two equipment to be repaired that is directed connected through the nodes and the directed connecting lines, and if so, the power equipment corresponding to all the nodes through which the connection relationship between the nodes corresponding to the two equipment to be repaired passes is determined as the equipment to be re-inspected.

[0018] The third aspect of the present invention discloses an intelligent detection system for faults of power equipment in a highway tunnel, the system comprising: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the steps of the intelligent detection method for highway tunnel power equipment fault disclosed in the first aspect of the present invention.

[0019] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the intelligent detection method for highway tunnel power equipment faults disclosed in the first aspect of the present invention.

[0020] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In an embodiment of the present invention, a three-dimensional tunnel model of a highway tunnel is established, current information of all power equipment in the tunnel is collected and input into a current analysis artificial intelligence model to obtain corresponding current information analysis results, and when the analysis result indicates that the current information is abnormal, the power equipment is determined as a device to be re-inspected; the position of the device to be re-inspected is determined, and the device to be re-inspected is re-inspected to obtain a re-inspection result; when the re-inspection result indicates that the device to be re-inspected has a fault, the device to be re-inspected is determined as a device to be repaired and maintenance is performed; it can be seen that the present invention can collect current information of all power equipment in a highway tunnel and input into a current analysis artificial intelligence model for analysis, and when the current information is abnormal, re-inspection is performed, and the device to be repaired is determined to be repaired according to the re-inspection result, which is beneficial to improving the detection accuracy and efficiency of power equipment faults in highway tunnels and reducing detection costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 It is a flow chart of an intelligent detection method for faults of power equipment in a highway tunnel disclosed in an embodiment of the present invention; Figure 2 It is a structural schematic diagram of an intelligent detection device for faults of power equipment in a highway tunnel disclosed in an embodiment of the present invention; Figure 3 It is a structural schematic diagram of another intelligent detection device for faults of power equipment in a highway tunnel disclosed in an embodiment of the present invention; Figure 4 The invention is a schematic structural diagram of an intelligent detection system for faults of power equipment in a highway tunnel disclosed in an embodiment of the invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or terminal including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or terminals.

[0025] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0026] The present invention discloses an intelligent detection method and device for faults in power equipment in highway tunnels. The method described in the embodiments of the present invention can collect current information of all power equipment in highway tunnels and input it into a current analysis artificial intelligence model for analysis. When the current information is abnormal, a re-inspection is performed, and the equipment to be repaired is determined according to the re-inspection results, which is conducive to improving the detection accuracy and efficiency of faults in power equipment in highway tunnels and reducing the detection cost. The following are detailed descriptions.

[0027] Embodiment 1 See also Figure 1 , Figure 1 The figure is a flow chart of an intelligent detection method for faults of power equipment in a highway tunnel disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to any highway tunnel power equipment failure detection scenario, and can also be used in submarine tunnels, subway tunnels, urban expressway tunnels and other tunnel types of power equipment failure detection scenarios, the embodiment of the present invention is not limited. Figure 1 As shown, the intelligent detection method for highway tunnel power equipment failure includes the following operations: 101. Establish a three-dimensional tunnel model corresponding to the highway tunnel; the three-dimensional tunnel model is marked with the locations of all power equipment in the highway tunnel; 102. Collecting current information of all power equipment in the highway tunnel within the first target time period; 103. For each electric power equipment, input the current information of the electric power equipment in the first target time period into a predetermined current analysis artificial intelligence model to obtain a current information analysis result corresponding to the electric power equipment; when the current information analysis result corresponding to the electric power equipment is used to indicate that the current information of the electric power equipment in the first target time period is abnormal, the electric power equipment is determined as a device to be re-inspected; 104. For each device to be re-inspected, the position of the device to be re-inspected is determined by a three-dimensional tunnel model; and based on the position of the device to be re-inspected, the device to be re-inspected is re-inspected to obtain a re-inspection result of the device to be re-inspected; when the re-inspection result of the device to be re-inspected is used to indicate that the device to be re-inspected has a fault, the device to be re-inspected is determined to be a device to be repaired, and a repair operation is performed on the device to be repaired.

[0028] In an embodiment of the present invention, current information can be obtained by installing high-precision current sensors on the power equipment in the highway tunnel and collecting current waveform data in real time; data collection of the power equipment supports remote transmission, and current information data can be uploaded to the central monitoring platform in real time for analysis and processing; further, a predetermined current analysis artificial intelligence model can be obtained by training and optimizing based on historical current information and corresponding power equipment fault information using machine learning algorithms (such as support vector machines, neural networks, etc.); current feature extraction can be based on a variety of signal processing technologies such as time domain analysis, frequency domain analysis, phasor analysis, and statistical analysis. Time domain analysis refers to analyzing the shape, amplitude, period, and phase of the waveform; frequency domain analysis refers to converting the time domain signal into a frequency domain signal through Fourier transform to analyze the fundamental and harmonic components; phasor analysis refers to analyzing the phase relationship between voltage and current using complex number representation; statistical analysis refers to extracting characteristic quantities that can reflect the status of the equipment, such as average value, peak value, root mean square value, waveform factor, spectral characteristics, etc.

[0029] It can be seen that the present invention can collect the current information of all power equipment in the highway tunnel and input it into the current analysis artificial intelligence model for analysis. When the current information is abnormal, it is re-inspected, and the equipment to be repaired is determined according to the re-inspection results. Repair, which is beneficial to improve the detection accuracy and efficiency of power equipment faults in highway tunnels and reduce detection costs.

[0030] In an optional embodiment, the method may further include: Collecting an environmental parameter set corresponding to the expressway tunnel, the environmental parameter set including at least one of a humidity parameter, a temperature parameter and an air quality parameter; When each environmental parameter in the environmental parameter set meets the preset normal environmental parameter condition, all power equipment in the highway tunnel is inspected based on the first time interval, and when a power equipment is found to be faulty during the inspection, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; When at least one environmental parameter in the environmental parameter set does not meet the normal environmental parameter conditions, all power equipment in the highway tunnel is inspected based on a second time interval. When a fault is found in any power equipment during the inspection, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; wherein the second time interval is smaller than the first time interval.

[0031] In this optional embodiment, it can be understood that electrical equipment is easily affected by factors such as humidity, temperature changes, dust, etc. When environmental parameters do not meet normal environmental parameter conditions, the probability of electrical equipment failure is higher, so the inspection time interval can be shortened at this time.

[0032] It can be seen that this optional embodiment can collect the environmental parameter set corresponding to the highway tunnel, determine the inspection interval according to whether the environmental parameter set meets the normal environmental parameter conditions, and directly perform maintenance when the power equipment is found to be faulty during inspection. This is beneficial to improve the accuracy of determining the equipment to be repaired, thereby improving the detection accuracy and efficiency of highway tunnel power equipment faults and reducing the detection cost of highway tunnel power equipment faults.

[0033] In another optional embodiment, when the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, determining that the device to be re-inspected is a device to be repaired, and performing a repair operation on the device to be repaired may include: When the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, the device to be re-inspected is determined to be a device to be repaired, and an estimated repair time corresponding to the device to be repaired is determined; Collecting real-time traffic flow data of the highway tunnel, and determining the expected maintenance time period corresponding to the equipment to be maintained based on the real-time traffic flow data of the highway tunnel and the expected maintenance time period corresponding to the equipment to be maintained; Based on the estimated maintenance time period corresponding to the equipment to be maintained, performing maintenance operations on the equipment to be maintained; And, the method may further include: Based on the estimated maintenance time period corresponding to each equipment to be maintained, maintenance reminder information corresponding to the expressway tunnel is sent to all target vehicles traveling on the expressway where the expressway tunnel is located; the maintenance reminder information includes the estimated maintenance time period corresponding to the equipment to be maintained; the target vehicles are vehicles that have not yet passed through the expressway tunnel.

[0034] In this optional embodiment, it is understandable that the maintenance time can be evaluated and the appropriate maintenance time can be determined based on the traffic data. For example, non-urgent faults can be repaired as little as possible during peak hours, and faults that do not affect the passage of vehicles can be repaired immediately. In addition, notifying vehicles that may pass by can enable the vehicles to know the maintenance status and road conditions ahead in advance, so as to make good driving plans.

[0035] It can be seen that this optional embodiment can determine the estimated maintenance time corresponding to the equipment to be repaired and further determine the estimated maintenance time period corresponding to the equipment to be repaired, and prompt the vehicles expected to pass, which is conducive to improving the accuracy of determining the estimated maintenance time period, thereby improving the efficiency of equipment maintenance and vehicle passage.

[0036] In yet another optional embodiment, the power equipment includes at least a monitoring device and a non-monitoring device; Furthermore, before determining the position of each device to be re-inspected by using the three-dimensional tunnel model, the method may further include: For each monitoring device in the highway tunnel, the monitoring device is inspected. When it is detected that the monitoring device has a missing monitoring screen and / or a change in the monitoring angle, the corresponding position of the monitoring device in the highway tunnel is determined based on the three-dimensional tunnel model corresponding to the highway tunnel, and the monitoring device is determined as a device to be re-inspected.

[0037] It can be seen that this optional embodiment is capable of detecting the monitoring equipment. When an abnormality is detected in the monitoring equipment, the corresponding position of the monitoring equipment in the highway tunnel is determined and the monitoring equipment is determined as a device to be re-inspected. This is beneficial to the change detection of the monitoring equipment and improves the accuracy of determining the device to be re-inspected, thereby improving the detection accuracy and efficiency of highway tunnel power equipment failures and reducing the detection cost of highway tunnel power equipment failures.

[0038] In yet another optional embodiment, the non-monitoring equipment includes at least lighting equipment and ventilation equipment; And, the method may further include: Divide the highway tunnel into a number of tunnel sections; For each tunnel partition, the lighting brightness of the tunnel partition is detected within the second target time period. When it is detected that the lighting brightness of the tunnel partition is lower than a preset lighting brightness threshold and / or the lighting brightness changes within the second target time period, all lighting devices of the tunnel partition and the corresponding positions of all lighting devices in the highway tunnel are determined based on the three-dimensional tunnel model corresponding to the highway tunnel; for each lighting device in the tunnel partition, the lighting device is determined as the device to be re-inspected.

[0039] In this optional embodiment, when the lighting brightness is lower than a preset lighting brightness threshold and / or when the lighting brightness changes, a fault may exist, and at this time, the lighting device can be determined as a device to be re-inspected.

[0040] It can be seen that this optional embodiment can divide the highway tunnel into several tunnel partitions and detect the lighting brightness of the tunnel partitions. When abnormal lighting brightness is detected, the positions of all lighting devices in the tunnel partition are determined and the lighting devices are determined as devices to be re-inspected. This is beneficial to improving the accuracy of determining the devices to be re-inspected through lighting brightness detection, thereby improving the detection accuracy and efficiency of highway tunnel power equipment failures and reducing the detection costs of highway tunnel power equipment failures.

[0041] In yet another optional embodiment, the method may further include: For each monitoring device, determining the target power device corresponding to the monitoring device; the target power device is all power devices within the monitoring viewing angle when the monitoring device performs the monitoring operation; For each monitoring device, when the monitoring device performs a monitoring operation, a fault detection operation is performed on the target power equipment in the real-time monitoring screen of the monitoring device based on a predetermined equipment fault identification model; when a fault is detected in the target power equipment in the real-time monitoring screen of the monitoring device, the corresponding position of the faulty target power equipment in the highway tunnel is determined based on the three-dimensional tunnel model corresponding to the highway tunnel, and the faulty target power equipment is determined as the equipment to be re-inspected.

[0042] In this optional embodiment, it can be understood that the monitoring equipment in the power equipment can be used to realize fault detection of other power equipment. Specifically, the faults of other power equipment captured in the monitoring video can be identified through target detection. The fault identification at this time can identify the external (physical) faults of other power equipment within the monitoring range, making full use of the monitoring resources of the monitoring equipment, which can play a positive role in the fault detection of power equipment.

[0043] It can be seen that this optional embodiment is capable of determining the target power equipment corresponding to each monitoring device; when the monitoring device performs a monitoring operation, a fault detection operation is performed on the target power equipment in the real-time monitoring screen of the monitoring device based on the equipment fault identification model; when a fault is detected in the target power equipment, the location of the faulty target power equipment is determined, and it is determined as the equipment to be re-inspected, which is beneficial to improve the accuracy of determining the equipment to be re-inspected through the detection of the monitoring equipment, thereby improving the detection accuracy and efficiency of highway tunnel power equipment faults, and reducing the detection cost of highway tunnel power equipment faults.

[0044] In yet another optional embodiment, the method may further include: For each power equipment in the highway tunnel, determining the associated power equipment corresponding to the power equipment; the associated power equipment includes power equipment that will be affected by the failure of the power equipment and / or power equipment that will affect the power equipment if the failure occurs; Based on each power device in the highway tunnel and the associated power devices corresponding to the power device, a directed association graph of the equipment corresponding to the highway tunnel is established; the directed association graph of the equipment includes a number of nodes and directed connecting lines between the nodes; the node corresponds to each power device, and the directed connecting line is used to represent the causal relationship between each power device and its associated power devices; When there are at least two devices to be repaired in a highway tunnel, based on the directed association graph of the equipment corresponding to the highway tunnel, it is determined whether there is a connection relationship between the nodes corresponding to the two devices to be repaired through nodes and directed connection lines. If so, the power equipment corresponding to all nodes passed by the connection relationship between the nodes corresponding to the two devices to be repaired are determined as the equipment to be re-inspected.

[0045] In this optional embodiment, it can be understood that the failure of some power equipment may be caused by its associated power equipment. When there is an association relationship between two equipment to be repaired, the intermediate power equipment in the association relationship may also have associated failures. At this time, the intermediate power equipment in the association relationship can be re-inspected to promptly discover potential faulty equipment.

[0046] It can be seen that this optional embodiment is capable of determining the associated power equipment corresponding to the power equipment; establishing a directed association graph of equipment based on the power equipment and the corresponding associated power equipment; when there are at least two equipment to be repaired in the highway tunnel, judging whether there is a connection relationship between the nodes corresponding to the two equipment to be repaired based on the directed association graph of equipment, and if so, determining the power equipment corresponding to all the nodes through which the connection relationship passes as the equipment to be re-inspected, which is beneficial to improving the accuracy of determining the equipment to be re-inspected through the association between the equipment, thereby improving the detection accuracy and efficiency of power equipment failures in highway tunnels, and reducing the detection cost of power equipment failures in highway tunnels.

[0047] Embodiment 2 See also Figure 2 , Figure 2 The structure diagram of an intelligent detection device for faults of power equipment in a highway tunnel disclosed in an embodiment of the present invention is shown in FIG. Figure 2 The described device can be applied to any highway tunnel power equipment failure detection scenario, and can also be used in submarine tunnels, subway tunnels, urban expressway tunnels and other tunnel types of power equipment failure detection scenarios, the embodiment of the present invention is not limited. Figure 2As shown, the intelligent detection device for faults of power equipment in a highway tunnel may include: Establishing module 201, used to establish a three-dimensional tunnel model corresponding to the highway tunnel; the three-dimensional tunnel model is marked with the locations of all power equipment in the highway tunnel; A collection module 202 is used to collect current information of all power equipment in the highway tunnel within a first target time period; The analysis module 203 is used to input the current information of each power device in the first target time period into a predetermined current analysis artificial intelligence model to obtain the current information analysis result corresponding to the power device; when the current information analysis result corresponding to the power device is used to indicate that the current information of the power device in the first target time period is abnormal, the power device is determined as a device to be re-inspected; The re-inspection module 204 is used to determine the position of each device to be re-inspected through the three-dimensional tunnel model; and re-inspect the device to be re-inspected based on the position of the device to be re-inspected to obtain the re-inspection result of the device to be re-inspected; when the re-inspection result of the device to be re-inspected is used to indicate that the device to be re-inspected has a fault, determine that the device to be re-inspected is a device to be repaired, and perform a repair operation on the device to be repaired.

[0048] It can be seen that the embodiment described in the present invention can collect the current information of all power equipment in the highway tunnel and input it into the current analysis artificial intelligence model for analysis. When the current information is abnormal, it is re-inspected, and the equipment to be repaired is determined according to the re-inspection results. Repair, which is beneficial to improve the detection accuracy and efficiency of power equipment faults in highway tunnels and reduce detection costs.

[0049] In an optional embodiment, if Figure 3 As shown, the device also includes: The inspection module 205 is used to collect an environmental parameter set corresponding to the highway tunnel, where the environmental parameter set includes at least one of a humidity parameter, a temperature parameter and an air quality parameter; when each environmental parameter in the environmental parameter set meets the preset normal environmental parameter condition, all the power equipment in the highway tunnel is inspected based on a first time interval, and when it is found that there is a fault in the power equipment during the inspection, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; when at least one environmental parameter in the environmental parameter set does not meet the normal environmental parameter condition, all the power equipment in the highway tunnel is inspected based on a second time interval, and when it is found that there is a fault in the power equipment during the inspection, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; wherein the second time interval is smaller than the first time interval.

[0050] It can be seen that this optional embodiment can collect the environmental parameter set corresponding to the highway tunnel, determine the inspection interval according to whether the environmental parameter set meets the normal environmental parameter conditions, and directly perform maintenance when the power equipment is found to be faulty during inspection. This is beneficial to improve the accuracy of determining the equipment to be repaired, thereby improving the detection accuracy and efficiency of highway tunnel power equipment faults and reducing the detection cost of highway tunnel power equipment faults.

[0051] In another optional embodiment, when the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, the re-inspection module 204 determines that the device to be re-inspected is a device to be repaired, and performs a repair operation on the device to be repaired, specifically in the following manner: When the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, the device to be re-inspected is determined to be a device to be repaired, and an estimated repair time corresponding to the device to be repaired is determined; Collecting real-time traffic flow data of the highway tunnel, and determining the expected maintenance time period corresponding to the equipment to be maintained based on the real-time traffic flow data of the highway tunnel and the expected maintenance time period corresponding to the equipment to be maintained; Based on the estimated maintenance time period corresponding to the equipment to be maintained, performing maintenance operations on the equipment to be maintained; And, the device also includes: The prompt module 206 is used to send maintenance prompt information corresponding to the expressway tunnel to all target vehicles traveling on the expressway where the expressway tunnel is located based on the estimated maintenance time period corresponding to each device to be maintained; the maintenance prompt information includes the estimated maintenance time period corresponding to the device to be maintained; the target vehicle is a vehicle that has not yet passed through the expressway tunnel.

[0052] It can be seen that this optional embodiment can determine the estimated maintenance time corresponding to the equipment to be repaired and further determine the estimated maintenance time period corresponding to the equipment to be repaired, and prompt the vehicles expected to pass, which is conducive to improving the accuracy of determining the estimated maintenance time period, thereby improving the efficiency of equipment maintenance and vehicle passage.

[0053] In yet another optional embodiment, the power equipment includes at least a monitoring device and a non-monitoring device; And, the device also includes: The first monitoring module 207 is used to detect each monitoring device in the highway tunnel before the re-inspection module 204 determines the position of each device to be re-inspected through the three-dimensional tunnel model, and when it is detected that the monitoring device has a missing monitoring screen and / or a change in the monitoring angle, determine the corresponding position of the monitoring device in the highway tunnel based on the three-dimensional tunnel model corresponding to the highway tunnel, and determine the monitoring device as the device to be re-inspected.

[0054] It can be seen that this optional embodiment is capable of detecting the monitoring equipment. When an abnormality is detected in the monitoring equipment, the corresponding position of the monitoring equipment in the highway tunnel is determined and the monitoring equipment is determined as a device to be re-inspected. This is beneficial to the change detection of the monitoring equipment and improves the accuracy of determining the device to be re-inspected, thereby improving the detection accuracy and efficiency of highway tunnel power equipment failures and reducing the detection cost of highway tunnel power equipment failures.

[0055] In yet another optional embodiment, the non-monitoring equipment includes at least lighting equipment and ventilation equipment; And, the device also includes: The lighting module 208 is used to divide the highway tunnel into a plurality of tunnel partitions; for each tunnel partition, the lighting brightness of the tunnel partition is detected within the second target time period; when the lighting brightness of the tunnel partition is detected to be lower than a preset lighting brightness threshold value and / or the lighting brightness changes within the second target time period, all lighting devices of the tunnel partition and the corresponding positions of all lighting devices in the highway tunnel are determined based on the three-dimensional tunnel model corresponding to the highway tunnel; for each lighting device in the tunnel partition, the lighting device is determined as a device to be re-inspected.

[0056] It can be seen that this optional embodiment can divide the highway tunnel into several tunnel partitions and detect the lighting brightness of the tunnel partitions. When abnormal lighting brightness is detected, the positions of all lighting devices in the tunnel partition are determined and the lighting devices are determined as devices to be re-inspected. This is beneficial to improving the accuracy of determining the devices to be re-inspected through lighting brightness detection, thereby improving the detection accuracy and efficiency of highway tunnel power equipment failures and reducing the detection costs of highway tunnel power equipment failures.

[0057] In yet another optional embodiment, the device further comprises: The second monitoring module 209 is used to determine, for each monitoring device, the target power equipment corresponding to the monitoring device; the target power equipment is all the power equipment within the monitoring field of view when the monitoring device performs the monitoring operation; for each monitoring device, when the monitoring device performs the monitoring operation, a fault detection operation is performed on the target power equipment in the real-time monitoring screen of the monitoring device based on a predetermined device fault identification model; when a fault is detected in the target power equipment in the real-time monitoring screen of the monitoring device, the corresponding position of the faulty target power equipment in the highway tunnel is determined based on the three-dimensional tunnel model corresponding to the highway tunnel, and the faulty target power equipment is determined as the device to be re-inspected.

[0058] It can be seen that this optional embodiment is capable of determining the target power equipment corresponding to each monitoring device; when the monitoring device performs a monitoring operation, a fault detection operation is performed on the target power equipment in the real-time monitoring screen of the monitoring device based on the equipment fault identification model; when a fault is detected in the target power equipment, the location of the faulty target power equipment is determined, and it is determined as the equipment to be re-inspected, which is beneficial to improve the accuracy of determining the equipment to be re-inspected through the detection of the monitoring equipment, thereby improving the detection accuracy and efficiency of highway tunnel power equipment faults, and reducing the detection cost of highway tunnel power equipment faults.

[0059] In yet another optional embodiment, the device further comprises: The association detection module 210 is used to determine, for each power device in the highway tunnel, the associated power devices corresponding to the power device; the associated power devices include power devices that will be affected by the failure of the power device and / or power devices that will have an impact on the power device if a failure occurs; a directed association graph of equipment corresponding to the highway tunnel is established based on each power device in the highway tunnel and the associated power devices corresponding to the power device; the directed association graph of equipment includes a number of nodes and directed connecting lines between the nodes; the node corresponds to each power device, and the directed connecting line is used to represent the causal relationship between each power device and its associated power devices; when there are at least two devices to be repaired in the highway tunnel, based on the directed association graph of equipment corresponding to the highway tunnel, it is determined whether there is a connection relationship between the nodes corresponding to the two devices to be repaired that is directed connected through the nodes and the directed connecting line, and if so, the power devices corresponding to all the nodes through which the connection relationship between the nodes corresponding to the two devices to be repaired passes are determined as devices to be re-inspected.

[0060] It can be seen that this optional embodiment is capable of determining the associated power equipment corresponding to the power equipment; establishing a directed association graph of equipment based on the power equipment and the corresponding associated power equipment; when there are at least two equipment to be repaired in the highway tunnel, judging whether there is a connection relationship between the nodes corresponding to the two equipment to be repaired based on the directed association graph of equipment, and if so, determining the power equipment corresponding to all the nodes through which the connection relationship passes as the equipment to be re-inspected, which is beneficial to improving the accuracy of determining the equipment to be re-inspected through the association between the equipment, thereby improving the detection accuracy and efficiency of power equipment failures in highway tunnels, and reducing the detection cost of power equipment failures in highway tunnels.

[0061] Embodiment 3 See also Figure 4 , Figure 4 Schematic diagram of the structure of an intelligent detection system for power equipment failure in a highway tunnel disclosed in an embodiment of the present invention. Figure 4 The intelligent detection system for faults of power equipment in the highway tunnel shown may include: A memory 301 storing executable program codes; a processor 302 coupled to the memory 301; The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the intelligent detection method for power equipment failure in a highway tunnel described in the first embodiment of the present invention.

[0062] Embodiment 4 An embodiment of the present invention discloses a computer storage medium storing computer instructions. When the computer instructions are called, they are used to execute the steps of the intelligent detection method for highway tunnel power equipment faults described in the first embodiment of the present invention.

[0063] Embodiment 5 An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the intelligent detection method for highway tunnel power equipment faults described in Example 1.

[0064] The system embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative labor.

[0065] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0066] Finally, it should be noted that the intelligent detection method and device for faults of power equipment in highway tunnels disclosed in the embodiments of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical scheme of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical schemes described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical schemes from the spirit and scope of the technical schemes of the embodiments of the present invention.

Claims

1. An intelligent detection method for power equipment failure in a highway tunnel, characterized in that: The method comprises: Establishing a three-dimensional tunnel model corresponding to the highway tunnel; the three-dimensional tunnel model is marked with the locations of all power equipment in the highway tunnel; Collecting current information of all the power equipment in the highway tunnel within a first target time period; For each of the electric power equipment, the current information of the electric power equipment in the first target time period is input into a predetermined current analysis artificial intelligence model to obtain a current information analysis result corresponding to the electric power equipment; when the current information analysis result corresponding to the electric power equipment is used to indicate that the current information of the electric power equipment in the first target time period is abnormal, the electric power equipment is determined as a device to be re-inspected; For each of the equipment to be re-inspected, the position of the equipment to be re-inspected is determined by the three-dimensional tunnel model; and based on the position of the equipment to be re-inspected, the equipment to be re-inspected is re-inspected to obtain a re-inspection result of the equipment to be re-inspected; when the re-inspection result of the equipment to be re-inspected is used to indicate that the equipment to be re-inspected has a fault, the equipment to be re-inspected is determined to be a equipment to be repaired, and a repair operation is performed on the equipment to be repaired.

2. The intelligent detection method for highway tunnel power equipment failure according to claim 1, characterized in that: The method further comprises: Collecting an environmental parameter set corresponding to the highway tunnel, wherein the environmental parameter set includes at least one of a humidity parameter, a temperature parameter, and an air quality parameter; When each environmental parameter in the environmental parameter set satisfies a preset normal environmental parameter condition, all power equipment in the highway tunnel is inspected based on a first time interval, and when a power equipment is found to be faulty during the inspection, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; When at least one environmental parameter in the environmental parameter set does not meet the normal environmental parameter condition, all power equipment in the highway tunnel is inspected based on a second time interval, and when a fault is found in any power equipment during the inspection, the faulty power equipment is determined as a device to be repaired, and a maintenance operation is performed on the device to be repaired; wherein the second time interval is smaller than the first time interval.

3. The intelligent detection method for highway tunnel power equipment failure according to claim 1, characterized in that: When the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, determining that the device to be re-inspected is a device to be repaired, and performing a repair operation on the device to be repaired, includes: When the re-inspection result of the device to be re-inspected indicates that the device to be re-inspected has a fault, the device to be re-inspected is determined to be a device to be repaired, and an estimated repair time corresponding to the device to be repaired is determined; Collecting real-time traffic flow data of the highway tunnel, and determining an estimated maintenance time period corresponding to the equipment to be maintained based on the real-time traffic flow data of the highway tunnel and the estimated maintenance time period corresponding to the equipment to be maintained; Based on the estimated maintenance time period corresponding to the equipment to be maintained, performing maintenance operations on the equipment to be maintained; And, the method further comprises: Based on the estimated maintenance time period corresponding to each of the equipment to be maintained, maintenance reminder information corresponding to the highway tunnel is sent to all target vehicles traveling on the highway where the highway tunnel is located; the maintenance reminder information includes the estimated maintenance time period corresponding to the equipment to be maintained; the target vehicles are vehicles that have not yet passed through the highway tunnel.

4. The intelligent detection method for highway tunnel power equipment failure as claimed in claim 1, characterized in that: The electrical equipment at least includes monitoring equipment and non-monitoring equipment; Furthermore, before determining the position of each device to be re-inspected by using the three-dimensional tunnel model, the method further includes: For each monitoring device in the highway tunnel, the monitoring device is inspected. When it is detected that the monitoring device has a missing monitoring screen and / or a change in the monitoring angle, the corresponding position of the monitoring device in the highway tunnel is determined based on the three-dimensional tunnel model corresponding to the highway tunnel, and the monitoring device is determined as a device to be re-inspected.

5. The intelligent detection method for highway tunnel power equipment failure as claimed in claim 4, characterized in that: The non-monitoring equipment includes at least lighting equipment and ventilation equipment; And, the method further comprises: Divide the highway tunnel into a number of tunnel sections; For each of the tunnel partitions, the lighting brightness of the tunnel partition is detected within the second target time period. When it is detected that the lighting brightness of the tunnel partition is lower than a preset lighting brightness threshold and / or the lighting brightness changes within the second target time period, all of the lighting devices of the tunnel partition and the corresponding positions of all of the lighting devices in the highway tunnel are determined based on the three-dimensional tunnel model corresponding to the highway tunnel; for each of the lighting devices in the tunnel partition, the lighting device is determined as a device to be re-inspected.

6. The intelligent detection method for highway tunnel power equipment failure according to claim 4 or 5, characterized in that: The method further comprises: For each of the monitoring devices, determining a target power device corresponding to the monitoring device; the target power device is all the power devices within a monitoring viewing angle when the monitoring device performs a monitoring operation; For each of the monitoring devices, when the monitoring device performs a monitoring operation, a fault detection operation is performed on the target power equipment in the real-time monitoring screen of the monitoring device based on a predetermined equipment fault identification model; when a fault is detected in the target power equipment in the real-time monitoring screen of the monitoring device, the corresponding position of the faulty target power equipment in the highway tunnel is determined based on the three-dimensional tunnel model corresponding to the highway tunnel, and the faulty target power equipment is determined as the equipment to be re-inspected.

7. The intelligent detection method for power equipment failure in a highway tunnel as claimed in claim 1, characterized in that: The method further comprises: For each of the electric power equipment in the highway tunnel, determining the associated electric power equipment corresponding to the electric power equipment; the associated electric power equipment includes electric power equipment that will be affected by the failure of the electric power equipment and / or electric power equipment that will have an impact on the electric power equipment if a failure occurs; Based on each power device in the highway tunnel and the associated power devices corresponding to the power device, a directed association graph of the equipment corresponding to the highway tunnel is established; the directed association graph of the equipment includes a number of nodes and directed connecting lines between the nodes; the nodes correspond to each of the power devices, and the directed connecting lines are used to represent the causal relationship between each of the power devices and the associated power devices; When there are at least two of the equipment to be repaired in the highway tunnel, based on the directed association graph of the equipment corresponding to the highway tunnel, it is determined whether there is a connection relationship between the nodes corresponding to the two equipment to be repaired through nodes and directed connection lines; if so, the power equipment corresponding to all nodes passed by the connection relationship between the nodes corresponding to the two equipment to be repaired is determined as the equipment to be re-inspected.

8. An intelligent detection device for faults of power equipment in highway tunnels, characterized in that: The device comprises: A building module is used to build a three-dimensional tunnel model corresponding to the highway tunnel; the three-dimensional tunnel model is marked with the locations of all power equipment in the highway tunnel; A collection module, used for collecting current information of all the power equipment in the highway tunnel within a first target time period; An analysis module is used to input the current information of each of the electric power equipment in the first target time period into a predetermined current analysis artificial intelligence model to obtain a current information analysis result corresponding to the electric power equipment; when the current information analysis result corresponding to the electric power equipment is used to indicate that the current information of the electric power equipment in the first target time period is abnormal, the electric power equipment is determined as a device to be re-inspected; The re-inspection module is used to determine the position of each device to be re-inspected through the three-dimensional tunnel model; and re-inspect the device to be re-inspected based on the position of the device to be re-inspected to obtain a re-inspection result of the device to be re-inspected; when the re-inspection result of the device to be re-inspected is used to indicate that the device to be re-inspected has a fault, determine that the device to be re-inspected is a device to be repaired, and perform a repair operation on the device to be repaired.

9. An intelligent detection system for power equipment failure in highway tunnels, characterized in that: The system comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the steps in the intelligent detection method for highway tunnel power equipment failure as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, the steps in the intelligent detection method for highway tunnel power equipment failure as described in any one of claims 1-7 are executed.

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