Subway facility equipment fault diagnosis and analysis method, device, equipment and storage medium

Abstract

The invention relates to the technical field of urban rail transit fault analysis, and discloses a subway facility equipment fault diagnosis and analysis method, device and equipment and a storage medium. The method comprises the following steps: when a fault signal is monitored, positioning fault equipment and a corresponding equipment instance according to an analysis model and the fault signal; retrieving whether the equipment instances have associated equipment instances or not; if yes, inspecting whether the associated equipment instance has a fault or not; if the associated equipment instances do not exist or the associated equipment instances do not fail, fault representations associated with the equipment instances are positioned based on the analysis model; determining associated corresponding fault causes and solutions according to the fault representation; and performing a troubleshooting operation based on the fault cause and the solution. According to the method, the analysis model is constructed according to subway repair and maintenance requirements, faults and solution measures are quickly retrieved and guided through the analysis model, fault hidden dangers are quickly found and timely handled, and equipment faults are quickly and automatically positioned and diagnosed and the influence range of the faults is automatically judged.

Description

Technical Field

[0001] The present invention relates to the technical field of urban rail transit fault analysis, and in particular to a method, device, equipment and storage medium for diagnosing and analyzing faults of subway facilities and equipment. Background Art

[0002] Urban rail transit requires the repair and maintenance of a large number of facilities and equipment. The diagnosis and analysis of massive equipment failures is a difficult problem that plagues operation and maintenance personnel, that is, how to quickly locate the source of a fault and the scope of related equipment that may cause the fault after a fault occurs.

[0003] At present, there are two main methods for fault diagnosis and analysis of urban rail transit facilities and equipment. One is based on manual experience analysis; the other is an analysis model based on the historical data of a certain type of equipment combined with artificial intelligence technology. The effect of the former analysis mainly depends on the experience level of the analyst, and the effect of the latter analysis mainly depends on the accuracy and volume of the historical data. The above scheme still has shortcomings. First, there is usually a certain correlation between the faults between equipment. The traditional historical data analysis model based on a certain type of equipment is difficult to reflect the correlation faults between multiple related equipment; second, the subway production system has more than ten subsystems (such as vehicles, signals, power supply, communications, integrated monitoring, escalators, platform doors, BAS, etc.), and the facilities and equipment between each subsystem are collaborative and related. The current diagnostic analysis scheme is difficult to reflect the correlation relationship between facilities and equipment between different systems, and the multi-professional fault diagnosis and positioning capabilities are lacking.

[0004] At present, the location and correlation analysis of equipment failures mainly adopt manual experience (only experts with rich maintenance experience can more accurately determine the cause and scope of the failure). However, the fault diagnosis location and correlation analysis relying on experience are not sustainable and difficult to achieve standardized management. In order to solve this problem, operation and maintenance personnel establish facility equipment data archives to record possible failures of individual equipment. To a certain extent, it solves the current status of manual experience in fault diagnosis and analysis, but still does not solve problems such as equipment fault diagnosis and automated analysis of fault scope. Summary of the invention

[0005] The main purpose of the present invention is to provide a method, device, equipment and storage medium for diagnosing and analyzing faults of subway facilities and equipment, aiming to solve at least one of the above-mentioned problems.

[0006] To achieve the above object, the present invention provides a method for diagnosing and analyzing faults of subway facilities and equipment, comprising:

[0007] When a fault signal is detected, locating the faulty device and the corresponding device instance according to the analysis model and the fault signal;

[0008] Retrieve whether the device instance has an associated device instance;

[0009] If there is an associated device instance, inspect whether the associated device instance is faulty;

[0010] If there is no associated device instance or the associated device instance is not faulty, locating the fault phenomenon associated with the device instance based on the analysis model;

[0011] Determine the associated corresponding fault cause and solution according to the fault symptom;

[0012] Perform troubleshooting operations based on the fault cause and solution.

[0013] In some embodiments, when a fault signal is detected, locating the faulty device and the corresponding device instance according to the analysis model and the fault signal includes:

[0014] When the fault signal of subway facilities and equipment is detected, the analysis model is started;

[0015] Locating a faulty device corresponding to the fault signal based on the analysis model;

[0016] Determine a device instance corresponding to the faulty device and a knowledge graph associated node of the device instance.

[0017] In some embodiments, locating the fault symptom associated with the device instance based on the analysis model includes:

[0018] determining a failure of the device instance;

[0019] The knowledge graph association node based on the device instance locates the fault phenomenon associated with the device instance in the knowledge graph according to the fault of the device instance.

[0020] In some embodiments, if there is an associated device instance, inspecting whether the associated device instance is faulty includes:

[0021] If there is an associated device instance, inspect the associated device instance to determine whether the associated device instance has a fault;

[0022] If the associated device instance has a fault, the associated device instance is used as an updated device instance, and the process returns to the step of retrieving whether the device instance has an associated device instance.

[0023] In some embodiments, the method further comprises:

[0024] An analysis model of equipment entities and fault symptoms is constructed according to the actual needs of subway repair and maintenance; wherein the analysis model includes six meta-elements, including equipment type, equipment instance, fault symptom, fault cause, affected subsystem and solution.

[0025] In some embodiments, the association logic between the meta-elements includes belonging to, related to, and causing;

[0026] in,

[0027] The association relationship from the meta-element device type to the meta-element device instance is belongs to;

[0028] The association relationship from the meta-element equipment type to the meta-element fault manifestation is belongs to;

[0029] The association relationship from meta-element device instance to meta-element device instance is related;

[0030] The association relationship from the meta-element equipment instance to the meta-element fault representation is belongs to;

[0031] The association relationship of the meta-element device instance to the meta-element affected subsystem is belongs to;

[0032] The correlation between the meta-element failure symptom and the meta-element failure cause is caused by;

[0033] The relationship from the meta-element failure cause to the meta-element solution is belongs to.

[0034] In some embodiments, the method further comprises:

[0035] When the analysis model cannot retrieve the result, automatically create a new meta-element device instance and a meta-element device fault according to the updated device and the updated fault, and supplement the connection relationship according to the association logic between the meta-elements;

[0036] When the update failure cause and the update solution appear, the meta-element failure cause and the meta-element solution are newly created for the analysis model, and the connection relationship is supplemented according to the association logic between the meta-elements.

[0037] In addition, to achieve the above-mentioned purpose, the present invention also proposes a subway facility equipment fault diagnosis and analysis device, comprising:

[0038] A monitoring module, used for locating a faulty device and a corresponding device instance according to an analysis model and the fault signal when a fault signal is detected;

[0039] A retrieval module, used for searching whether the device instance has an associated device instance;

[0040] A patrol module, used for patrolling and checking whether the associated device instance is faulty if there is an associated device instance;

[0041] A positioning module, configured to locate the fault phenomenon associated with the device instance based on the analysis model if there is no associated device instance or the associated device instance is not faulty;

[0042] An output module, used to determine the associated corresponding fault cause and solution according to the fault symptom;

[0043] An execution module is used to execute a fault repair operation based on the fault cause and solution.

[0044] In addition, to achieve the above-mentioned purpose, the present invention also proposes an electronic device, which includes: a memory, a processor, and a subway facility equipment fault diagnosis and analysis program stored in the memory and executable on the processor, wherein the subway facility equipment fault diagnosis and analysis program is configured to implement the subway facility equipment fault diagnosis and analysis method as described above.

[0045] In addition, to achieve the above objectives, the present invention also proposes a storage medium, which stores a subway facility equipment fault diagnosis and analysis program, and the subway facility equipment fault diagnosis and analysis program is used to enable the processor to implement the subway facility equipment fault diagnosis and analysis method described above when executing.

[0046] The present invention provides a method for diagnosing and analyzing faults of subway facilities and equipment, including: when a fault signal is detected, locating the faulty equipment and the corresponding equipment instance according to the analysis model and the fault signal; retrieving whether there is an associated equipment instance for the equipment instance; if there is an associated equipment instance, inspecting whether the associated equipment instance is faulty; if there is no associated equipment instance or the associated equipment instance is not faulty, locating the fault phenomenon associated with the equipment instance based on the analysis model; determining the associated corresponding fault cause and solution measures according to the fault phenomenon; and performing fault inspection and repair operations based on the fault cause and solution measures. In the present invention, an analysis model of equipment entities and fault phenomena is constructed according to the actual needs of subway maintenance, and the analysis model is used to quickly retrieve and guide faults and solution measures, so as to assist maintenance and inspection personnel to quickly discover the hidden dangers of related facility equipment failures and deal with them in time, thereby realizing automatic location and diagnosis of equipment failures and automatic determination of the fault impact range, solving the pain point that it is difficult to quickly respond to and determine the impact range of massive equipment failures in subways. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic diagram of the structure of an electronic device in a hardware operating environment involved in an embodiment of the present invention;

[0048] Figure 2 A schematic diagram of a flow chart of an embodiment of a method for diagnosing and analyzing faults of subway facilities and equipment according to the present invention;

[0049] Figure 3 A schematic diagram of the representation relationship between the elements involved in the embodiment of the present invention;

[0050] Figure 4 A schematic diagram of the structure of the meta-elements and associated logic involved in the embodiment of the present invention;

[0051] Figure 5 A schematic diagram of a process for conducting facility equipment fault troubleshooting guidance and scope determination based on an analysis model according to an embodiment of the present invention;

[0052] Figure 6 It is a schematic diagram of an example of an analysis model involved in an embodiment of the present invention;

[0053] Figure 7 It is a structural block diagram of an embodiment of a subway facility equipment fault diagnosis and analysis device of the present invention;

[0054] Figure 8 The figure is a structural block diagram of a fault diagnosis device involved in an embodiment of the present invention.

[0055] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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.

[0057] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0058] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0059] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the structure of an electronic device of the hardware operating environment involved in the embodiment of the present invention.

[0060] like Figure 1 As shown, the electronic device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM memory) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0061] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0062] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and a subway facility equipment fault diagnosis and analysis program.

[0063] exist Figure 1In the electronic device shown, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the electronic device of the present invention can be set in the electronic device, and the electronic device calls the subway facility equipment fault diagnosis and analysis program stored in the memory 1005 through the processor 1001, and executes the subway facility equipment fault diagnosis and analysis method provided in an embodiment of the present invention.

[0064] The present invention provides a method, device, equipment and storage medium for diagnosing and analyzing faults of subway facilities and equipment.

[0065] The embodiment of the present invention provides a method for diagnosing and analyzing faults of subway facilities and equipment, referring to Figure 2 , Figure 2 It is a flow chart of an embodiment of a method for diagnosing and analyzing faults of subway facilities and equipment according to the present invention.

[0066] like Figure 2 As shown, the subway facility equipment fault diagnosis and analysis method includes:

[0067] Step S100: when a fault signal is detected, locating the faulty device and the corresponding device instance according to the analysis model and the fault signal;

[0068] Step S200: searching whether the device instance has an associated device instance;

[0069] Step S300: If there is an associated device instance, inspect whether the associated device instance is faulty;

[0070] Step S400: if there is no associated device instance or the associated device instance is not faulty, locating the fault phenomenon associated with the device instance based on the analysis model;

[0071] Step S500: determining the associated corresponding fault cause and solution according to the fault symptom;

[0072] Step S600: performing a fault repair operation based on the fault cause and solution.

[0073] It should be noted that the execution subject in this embodiment may be an electronic device, which may be a computer device with data processing functions, or other devices that can achieve the same or similar functions. This embodiment does not limit this. In this embodiment, a computer device is used as an example for explanation.

[0074] It can be understood that this embodiment is described by taking the fault diagnosis and analysis of urban rail transit facilities and equipment in the field of urban rail transit as an example.

[0075] In one embodiment, the method further includes: constructing an analysis model of equipment entities and fault symptoms according to the actual needs of subway maintenance; wherein the analysis model includes six meta-elements, and the meta-elements include equipment type, equipment instance, fault symptom, fault cause, affected subsystem and solution.

[0076] Specifically, an analysis model of equipment entities and fault symptoms is constructed. According to the actual needs of subway maintenance, the analysis model proposed in this embodiment includes but is not limited to six meta-elements: 1) equipment type, 2) equipment instance, 3) fault symptom, 4) fault cause, 5) affected subsystem, and 6) solution. Among them, equipment instance, fault symptom, fault cause, and solution are basic meta-elements; equipment type and affected subsystem are general meta-elements. Basic meta-elements are necessary contents in the analysis model, and general meta-elements can be flexibly selected according to actual application scenarios.

[0077] This embodiment uses the above six meta-elements as an example to achieve standardized representation of the core information such as the appearance, cause, impact range, and maintenance measures of facility and equipment failures. Figure 3 As shown, through the six meta-element identifiers and the representation relationship between the meta-elements, the correlation relationship between the fault manifestations, fault causes, impact scope, and maintenance measures of the facilities and equipment can be expressed.

[0078] In one embodiment, the association logic between the meta-elements includes belongs to, related to and causes; among them, the association relationship from the meta-element device type to the meta-element device instance is belongs to; the association relationship from the meta-element device type to the meta-element fault symptom is belongs to; the association relationship from the meta-element device instance to the meta-element device instance is related to; the association relationship from the meta-element device instance to the meta-element fault symptom is belongs to; the association relationship from the meta-element device instance to the meta-element affected subsystem is belongs to; the association relationship from the meta-element fault symptom to the meta-element fault cause is causes; the association relationship from the meta-element fault cause to the meta-element solution is belongs to.

[0079] For example, the analysis model proposed in this embodiment includes but is not limited to six meta-elements: 1) device type, 2) device instance, 3) fault symptom, 4) fault cause, 5) affected subsystem, and 6) solution. The association logic of meta-elements includes but is not limited to belongs to, is related to, and causes. The association method between each meta-element pair is described one by one below:

[0080] Specifically, device type->device instance: the association relationship is belongs to, and the association is based on the actual product specifications and types. For example, if the device type is a switch, the device instance is a specific switch device.

[0081] Specifically, device type->fault symptom: the association relationship is "belongs to", and the type of fault that may occur in this type of device is the association. For example, if the device type is a switch, the fault symptom is interface abnormality, electrical signal loss, etc. The fault symptom depends on the form in which the device fails. The relationship between device type and fault symptom can be obtained through historical sample data annotation.

[0082] Specifically, device instance->device instance: the association relationship is related, and the association is based on the logical or physical connection relationship between two devices. For example, a specific switch device (device instance 1) is connected to a camera device (device instance 2).

[0083] Specifically, device instance->fault symptom: the association relationship is belongs to, and the association is based on the type of fault that may occur in the device. For example, if the device instance is a switch, the fault symptom is interface abnormality, electrical signal loss, etc. The fault symptom depends on the form of the fault of a specific device.

[0084] Specifically, device instance->affected subsystem: the association relationship is belongs to, and the category to which the device instance belongs is the association, for example, a specific switch device (device instance) belongs to the CCTV system (affected subsystem).

[0085] Specifically, fault symptom -> fault cause: the correlation relationship is cause, and the causal relationship of the fault is correlation. For example, the causes of interface abnormality (fault symptom) include interface damage (fault cause 1), device power failure (fault cause 2), etc.

[0086] Specifically, fault cause->solution: the association relationship is belongs to, and the solution to the specific fault is the association. For example, the solutions to interface damage (fault cause) include replacing the interface (solution 1) and repairing the equipment (solution 2).

[0087] For example, reference Figure 4 The schematic diagram of the structure of the meta-elements and associated logic shown in the figure, Figure 4 The meta-elements and associated logical structures related to device instance 1 are shown. The device type of device instance 1 is device type 1. Device instance 1 belongs to subsystem 1 and has logical or physical associations with device instance 2 and device instance 3. There are two types of device failures that may occur in device instance 1, namely device failure 1 and device failure 2. The causes of device failure 1 are failure cause 1 and failure cause 2. There are two solutions to failure cause 2, namely solution 1 and solution 2. It can be understood that Figure 4 The structure of the meta-elements and associated logic shown only represents a part of the content. The structure can be expanded and extended according to the actual scenario of equipment failure in actual application. Here, only the meta-elements and associated logic are introduced as examples.

[0088] In one embodiment, when a fault signal is monitored, the faulty equipment and the corresponding equipment instance are located according to the analysis model and the fault signal, including: when a fault signal of subway facility equipment is monitored, starting the analysis model; locating the faulty equipment corresponding to the fault signal based on the analysis model; determining the equipment instance corresponding to the faulty equipment and the knowledge graph associated node of the equipment instance.

[0089] In one embodiment, locating the fault phenomenon associated with the device instance based on the analysis model includes: determining the fault occurred in the device instance; locating the fault phenomenon associated with the device instance in the knowledge graph based on the knowledge graph association node of the device instance according to the fault of the device instance.

[0090] In one embodiment, if an associated device instance exists, then inspecting whether the associated device instance is faulty includes: if an associated device instance exists, inspecting the associated device instance to determine whether the associated device instance is faulty; if the associated device instance is faulty, using the associated device instance as an updated device instance, and returning to the step of retrieving whether the device instance has an associated device instance.

[0091] Specifically, refer to Figure 5 The figure shows the process of carrying out facility equipment fault maintenance guidance and scope determination based on the analysis model. Specifically, Step 1: When a facility equipment fault is detected, the analysis model is started to analyze the maintenance guidance and scope determination related to the facility equipment fault. Step 2: Locate the faulty equipment (equipment instance) in the analysis model, and search whether there is an associated equipment instance for the equipment instance; if so, jump to Step 3; if not, jump to Step 4. Step 3: Inspect the equipment instances that are associated with the above-mentioned faulty equipment; determine whether the associated equipment instance has a fault; if so, jump to Step 2. Step 4: Locate the faulty equipment found during this retrieval process respectively, and associate it with its fault symptoms according to the faulty equipment (equipment instance). Step 5: Further associate the corresponding fault cause and solution according to the fault symptoms, so as to initiate fault maintenance operations in a targeted manner.

[0092] It should be noted that in the process of conducting facility equipment fault inspection and repair guidance and scope determination based on the analysis model, it is possible to further facilitate the classification and statistics of various types of data for operation and maintenance personnel by marking the subsystem, equipment category and other information. The meta-elements in this embodiment are analyzed in six categories (1 equipment type, 2 equipment instance, 3 fault manifestation, 4 fault cause, 5 affected subsystem, 6 solution measures), but in actual application, they are not limited to the above six categories of meta-elements. In addition to the four basic meta-elements of equipment instance, equipment failure, fault cause and solution, equipment type and affected subsystem belong to general meta-elements, and the types of general meta-elements can be further increased according to the needs of actual statistical analysis. The association logic between general meta-elements can be set according to association attributes such as "belong to, related to, cause".

[0093] In one embodiment, the method also includes: when the analysis model cannot retrieve any results, automatically creating new meta-element device instances and meta-element device failures based on the updated devices and updated failures, and supplementing the connection relationships based on the association logic between the meta-elements; when update failure causes and update solutions appear, creating new meta-element failure causes and meta-element solutions for the analysis model, and supplementing the connection relationships based on the association logic between the meta-elements.

[0094] Exemplarily, the basic elements in the analysis model are updated and iterated:

[0095] 1) When new equipment or new faults appear, they may not be found when searching the analysis model. In this case, new basic elements (such as equipment instances and equipment faults) are automatically created, and the connection relationships are supplemented according to the association logic between the basic elements.

[0096] 2) When new fault causes and new solutions appear, the analysis model can be manually added, new basic elements (such as fault causes and solutions) can be created, and the connection relationships can be supplemented according to the association logic between the basic elements.

[0097] It should be noted that, combined with Figure 6 The specific analysis model example is shown as follows: Figure 6 As shown, the method proposed in this embodiment is used to construct an analysis model using device instances such as switches, transmission machines, and cameras as examples. For example, when the s385 transmission machine 1 has a fault of electrical signal loss, possible causes of the fault include electrical interface damage, network abnormality, etc., and the two corresponding causes have respective solutions (such as Figure 6The solutions shown are replacing the electrical interface and repairing the network. At the same time, since the failure of the s385 transmission machine 1 may affect the failure of related devices, such as switch 1, switch 2, camera 1, camera 2, etc., the maintenance personnel should focus on the working status of switch 1, switch 2, camera 1 and camera 2, and deal with the possible related failures in time. At the same time, based on the two general elements of device type and affected subsystem, the method described in this embodiment can also output that the failure of the s385 transmission machine 1 may cause the CCTV system to issue an abnormal alarm.

[0098] The method provided in this embodiment can help subway operation and maintenance personnel quickly find solutions to faulty equipment and determine the scope of fault impact, and prevent and quickly deal with related faults in advance. Compared with the traditional data fault library analysis method based on a single system and the method based on manual experience judgment, the advantages of the method disclosed in this embodiment are: first, by constructing the association relationship between basic meta-elements and general meta-elements, the cause of the fault and measures can be quickly located, and the scope of fault impact can be quickly determined; second, the structure of meta-elements and association logic is scalable, and general meta-elements can be expanded according to the actual needs of users, and customized information output can be achieved. Therefore, the method disclosed in this embodiment can effectively alleviate the pain points of the difficulty in quickly responding to massive equipment failures in the subway and the inaccurate determination of the scope of impact.

[0099] This embodiment provides a method for diagnosing and analyzing faults of subway facilities and equipment, including: when a fault signal is detected, locating the faulty equipment and the corresponding equipment instance according to the analysis model and the fault signal; retrieving whether the equipment instance has an associated equipment instance; if the associated equipment instance exists, inspecting whether the associated equipment instance is faulty; if the associated equipment instance does not exist or the associated equipment instance is not faulty, locating the fault phenomenon associated with the equipment instance based on the analysis model; determining the associated corresponding fault cause and solution measures according to the fault phenomenon; and performing fault inspection and repair operations based on the fault cause and solution measures. In this embodiment, an analysis model of equipment entities and fault phenomena is constructed according to the actual needs of subway maintenance, and the analysis model is used to quickly retrieve and guide faults and solutions, assisting maintenance and inspection personnel to quickly discover the hidden dangers of related facility equipment failures and deal with them in a timely manner, thereby realizing automatic location and diagnosis of equipment failures and automatic determination of the scope of fault impact, solving the pain point that it is difficult to quickly respond to and determine the scope of impact of massive equipment failures in subways.

[0100] In addition, an embodiment of the present invention further proposes a storage medium, on which a subway facility equipment fault diagnosis and analysis program is stored. When the subway facility equipment fault diagnosis and analysis program is executed by a processor, the steps of the subway facility equipment fault diagnosis and analysis method described above are implemented.

[0101] Reference Figure 7 , Figure 7 It is a structural block diagram of an embodiment of a subway facility equipment fault diagnosis and analysis device of the present invention.

[0102] like Figure 7 As shown, the subway facility equipment fault diagnosis and analysis device comprises:

[0103] A monitoring module 10, for locating a faulty device and a corresponding device instance according to an analysis model and the fault signal when a fault signal is detected;

[0104] A retrieval module 20, used to retrieve whether the device instance has an associated device instance;

[0105] The inspection module 30 is used to inspect whether the associated device instance is faulty if there is an associated device instance;

[0106] A positioning module 40, configured to locate the fault phenomenon associated with the device instance based on the analysis model if there is no associated device instance or the associated device instance is not faulty;

[0107] An output module 50 is used to determine the associated corresponding fault cause and solution according to the fault symptom;

[0108] The execution module 60 is used to perform a fault troubleshooting operation based on the fault cause and solution.

[0109] Specifically, an analysis model of equipment entities and fault symptoms is constructed. According to the actual needs of subway maintenance, the analysis model proposed in this embodiment includes but is not limited to six meta-elements: 1) equipment type, 2) equipment instance, 3) fault symptom, 4) fault cause, 5) affected subsystem, and 6) solution. Among them, equipment instance, fault symptom, fault cause, and solution are basic meta-elements; equipment type and affected subsystem are general meta-elements. Basic meta-elements are necessary contents in the analysis model, and general meta-elements can be flexibly selected according to actual application scenarios.

[0110] This embodiment uses the above six meta-elements as an example to achieve standardized representation of the core information such as the appearance, cause, impact range, and maintenance measures of facility and equipment failures. Figure 3 As shown, through the six meta-element identifiers and the representation relationship between the meta-elements, the correlation relationship between the fault manifestations, fault causes, impact scope, and maintenance measures of the facilities and equipment can be expressed.

[0111] In one example, if Figure 8As shown, a fault diagnosis device is proposed based on the above analysis model, including: a basic element input module, an analysis model update module, a retrieval module, and a guidance and range determination output module.

[0112] Specifically, the basic element input module is used to input basic elements (equipment instances, equipment failures, causes of failures, and solutions). The input basic elements are used for subsequent retrieval, positioning, and judgment. The analysis model update module determines the input basic elements. If the basic element can be located, the model is not updated. If the basic element cannot be located, the basic element instance is added and the analysis model is updated. The search and find module locates and analyzes the correlation elements of the input basic elements, and conducts facility and equipment failure inspection and repair guidance and scope judgment. The guidance and scope judgment output module provides solutions to faulty equipment, fault scope, and other correlation information (general element information).

[0113] The device provided in this embodiment can help subway operation and maintenance personnel quickly find solutions to faulty equipment and determine the scope of fault impact, and prevent and quickly deal with related faults in advance. Compared with the traditional data fault library analysis method based on a single system and the method based on manual experience judgment, the advantages of the device described in this embodiment are: first, by constructing the association relationship between basic meta-elements and general meta-elements, the cause of the fault and measures can be quickly located, and the scope of fault impact can be quickly determined; second, the structure of meta-elements and association logic is scalable, and general meta-elements can be expanded according to the actual needs of users, and customized information output can be achieved. Therefore, the device proposed in this embodiment can effectively alleviate the pain points of the difficulty in quickly responding to massive equipment failures in the subway and the inaccurate determination of the scope of impact.

[0114] This embodiment provides a subway facility equipment fault diagnosis and analysis device, which constructs an analysis model of equipment entities and fault phenomena according to the actual needs of subway maintenance, and quickly retrieves and guides faults and solutions through the analysis model, assisting maintenance personnel to quickly discover hidden dangers of related facility equipment failures and deal with them in time, thereby realizing automatic location diagnosis of equipment failures and automatic determination of the impact scope of the failures, solving the pain point that it is difficult to quickly respond to and determine the impact scope of massive equipment failures in subways.

[0115] It should be noted that the technical details that are not described in detail in the embodiment of the subway facility equipment fault diagnosis and analysis device can be referred to the subway facility equipment fault diagnosis and analysis method provided in any embodiment of the present invention as described above, and will not be repeated here.

[0116] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0117] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0118] In addition, it should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0119] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0120] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0121] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for diagnosing and analyzing faults of subway facilities and equipment, characterized in that: include: When a fault signal is detected, locating the faulty device and the corresponding device instance according to the analysis model and the fault signal; Retrieve whether the device instance has an associated device instance; If there is an associated device instance, inspect whether the associated device instance is faulty; If there is no associated device instance or the associated device instance is not faulty, locating the fault phenomenon associated with the device instance based on the analysis model; Determine the associated corresponding fault cause and solution according to the fault symptom; Perform troubleshooting operations based on the fault cause and solution.

2. The method according to claim 1, characterized in that When a fault signal is detected, locating the faulty device and the corresponding device instance according to the analysis model and the fault signal includes: When the fault signal of subway facilities and equipment is detected, the analysis model is started; Locating a faulty device corresponding to the fault signal based on the analysis model; Determine a device instance corresponding to the faulty device and a knowledge graph associated node of the device instance.

3. The method according to claim 2, characterized in that The locating the fault phenomenon associated with the device instance based on the analysis model includes: determining a failure of the device instance; The knowledge graph association node based on the device instance locates the fault phenomenon associated with the device instance in the knowledge graph according to the fault of the device instance.

4. The method according to claim 1, characterized in that If there is an associated device instance, inspecting whether the associated device instance is faulty includes: If there is an associated device instance, inspect the associated device instance to determine whether the associated device instance has a fault; If the associated device instance has a fault, the associated device instance is used as an updated device instance, and the process returns to the step of retrieving whether the device instance has an associated device instance.

5. The method according to any one of claims 1 to 4, characterized in that The method further comprises: An analysis model of equipment entities and fault symptoms is constructed according to the actual needs of subway repair and maintenance; wherein the analysis model includes six meta-elements, including equipment type, equipment instance, fault symptom, fault cause, affected subsystem and solution.

6. The method according to claim 5, characterized in that The association logic between the meta-elements includes belonging to, related to and causing; wherein, The association relationship from the meta-element device type to the meta-element device instance is belongs to; The association relationship from the meta-element equipment type to the meta-element fault manifestation is belongs to; The association relationship from meta-element device instance to meta-element device instance is related; The association relationship from the meta-element equipment instance to the meta-element fault representation is belongs to; The association relationship of the meta-element device instance to the meta-element affected subsystem is belongs to; The correlation between the meta-element failure symptom and the meta-element failure cause is caused by; The relationship from the meta-element failure cause to the meta-element solution is belongs to.

7. The method according to claim 6, characterized in that The method further comprises: When the analysis model cannot retrieve the result, automatically create a new meta-element device instance and a meta-element device fault according to the updated device and the updated fault, and supplement the connection relationship according to the association logic between the meta-elements; When the update failure cause and the update solution appear, the meta-element failure cause and the meta-element solution are newly created for the analysis model, and the connection relationship is supplemented according to the association logic between the meta-elements.

8. A subway facility equipment fault diagnosis and analysis device, characterized in that: include: A monitoring module, used for locating a faulty device and a corresponding device instance according to an analysis model and the fault signal when a fault signal is detected; A retrieval module, used for searching whether the device instance has an associated device instance; A patrol module, used for patrolling and checking whether the associated device instance is faulty if there is an associated device instance; A positioning module, configured to locate the fault phenomenon associated with the device instance based on the analysis model if there is no associated device instance or the associated device instance is not faulty; An output module, used to determine the associated corresponding fault cause and solution according to the fault symptom; An execution module is used to execute a fault repair operation based on the fault cause and solution.

9. An electronic device, characterized in that: The electronic device includes: a memory, a processor, and a subway facility equipment fault diagnosis and analysis program stored in the memory and executable on the processor, wherein the subway facility equipment fault diagnosis and analysis program is configured to implement the subway facility equipment fault diagnosis and analysis method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a subway facility equipment fault diagnosis and analysis program, and the subway facility equipment fault diagnosis and analysis program is used to enable the processor to implement the subway facility equipment fault diagnosis and analysis method as described in any one of claims 1 to 7 when executed.

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