CN116062009A - Fault analysis method, device, electronic equipment and storage medium - Google Patents
Fault analysis method, device, electronic equipment and storage medium Download PDFInfo
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- CN116062009A CN116062009A CN202211518134.3A CN202211518134A CN116062009A CN 116062009 A CN116062009 A CN 116062009A CN 202211518134 A CN202211518134 A CN 202211518134A CN 116062009 A CN116062009 A CN 116062009A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/50—Trackside diagnosis or maintenance, e.g. software upgrades
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Abstract
The invention provides a fault analysis method, a fault analysis device, electronic equipment and a storage medium, which relate to the technical field of rail transit and comprise the following steps: acquiring fault information in an urban rail transit signal system in the urban rail transit signal system; n fault reasons corresponding to the fault information and the fault occurrence probability of each fault reason are determined in a fault database of a fault handling module of the signal operation and maintenance system, the N fault reasons are displayed in a fault statistics analysis interface according to the order of the fault occurrence probabilities, and N is a positive integer.
Description
Technical Field
The present invention relates to the field of rail transit technologies, and in particular, to a fault analysis method, a fault analysis device, an electronic device, and a storage medium.
Background
With the gradual development of urban rail transit technology, the technology of urban rail system signal systems has been steadily improved. Meanwhile, the overall basic monitoring and acquisition functions of the signal system cannot meet the current all-round monitoring requirements, the intelligent operation and maintenance system is generated based on the problems of incomplete state acquisition, lack of unified standards, single data source and the like, and the final purpose of the intelligent operation and maintenance system is to gradually develop from the GoA2 level to the GoA4 level along with the automatic level of the CBTC system, so that the intelligent operation and maintenance system is ensured to be matched with the automatic level of the subway.
One of the most important parts in the intelligent operation and maintenance system, namely a fault handling function, particularly how to help operation and maintenance staff to effectively analyze fault problems generated in the urban rail transit operation process, is a problem to be solved in the industry.
Disclosure of Invention
The invention provides a fault analysis method, a fault analysis device, electronic equipment and a storage medium, which are used for solving the problem of how to help operation and maintenance staff to effectively analyze fault problems generated in the urban rail transit operation process in the prior art.
The invention provides a fault analysis method, which comprises the following steps:
acquiring fault information in an urban rail transit signal system in the urban rail transit signal system;
n fault reasons corresponding to the fault information and the fault occurrence probability of each fault reason are determined in a fault database of a fault handling module of the signal operation and maintenance system, the N fault reasons are displayed on a fault statistics analysis interface according to the order of the fault occurrence probability, and N is a positive integer.
According to the fault analysis method provided by the invention, after the step of displaying the N fault reasons according to the size of the occurrence probability of each fault by the fault statistics analysis interface, the method further comprises the following steps:
receiving a first input for adjusting the N fault cause display orders by a user;
and responding to the first input, displaying the N fault reasons according to the adjusted second ordering order in the fault statistics analysis interface, and adjusting the fault occurrence probability of the fault reasons according to the second ordering order.
According to the fault analysis method provided by the invention, after the step of displaying the N fault reasons according to the size of the occurrence probability of each fault by the fault statistics analysis interface, the method further comprises the following steps:
receiving a second input of a user for a target fault cause of the N fault causes;
and responding to the second input, and displaying fault case information associated with the target fault reason.
According to the fault analysis method provided by the invention, the method further comprises the following steps:
receiving a third input of a user to the fault knowledge graph interface;
responding to the third input, and displaying M subsystem fault identifications on the fault knowledge graph interface, wherein each subsystem fault identification points to a fault device of a subsystem;
receiving a fourth input of a user to a target subsystem fault identifier in the M subsystem fault identifiers;
responding to the fourth input, displaying P subsystem main equipment identifiers on the fault knowledge graph interface, wherein each subsystem main equipment identifier points to a fault phenomenon of one subsystem main equipment;
receiving a fifth input of a user to a target subsystem master device identifier in the P subsystem master device identifiers;
and responding to the fifth input, and displaying the fault site of the main equipment of the target subsystem and the occurrence reason of the fault phenomenon on the fault knowledge graph interface, wherein M and P are positive integers.
The invention also provides a fault analysis device, comprising:
the acquisition module is used for acquiring fault information in the urban rail transit signal system;
the analysis module is used for determining N fault reasons corresponding to the fault information and the fault occurrence probability of each fault reason in a fault database of the fault handling module of the signal operation and maintenance system, and displaying the N fault reasons in a fault statistics analysis interface according to the order of the fault occurrence probability, wherein N is a positive integer.
According to the present invention, there is provided a fault analysis apparatus, the apparatus further comprising:
the first receiving module is used for receiving a first input for adjusting the N fault reason display sequences by a user;
the first display module is used for responding to the first input, displaying the N fault reasons according to the adjusted second ordering sequence on the fault statistics analysis interface, and adjusting the fault occurrence probability of the fault reasons according to the second ordering sequence.
According to the present invention, there is provided a fault analysis apparatus, the apparatus further comprising:
the second receiving module is used for receiving a second input of a user for a target fault reason in the N fault reasons;
and the second display module is used for responding to the second input and displaying the fault case information related to the target fault reason.
According to the present invention, there is provided a fault analysis apparatus, the apparatus further comprising:
the third receiving module is used for receiving a third input of a fault knowledge graph interface from a user;
the third display module is used for responding to the third input and displaying M subsystem fault identifiers on the fault knowledge graph interface, wherein each subsystem fault identifier points to a fault device of a subsystem;
the fourth receiving module is used for receiving fourth input of a user on a target subsystem fault identifier in the M subsystem fault identifiers;
the fourth display module is used for responding to the fourth input and displaying P subsystem main equipment identifiers on the fault knowledge graph interface, wherein each subsystem main equipment identifier points to a fault phenomenon of one subsystem main equipment;
a fifth receiving module, configured to receive a fifth input of a user to a target subsystem master device identifier in the P subsystem master device identifiers;
and the fifth display module is used for responding to the fifth input and displaying the fault site of the main equipment of the target subsystem and the occurrence reason of the fault phenomenon on the fault knowledge graph interface, wherein M and P are positive integers.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the fault analysis method as described in any of the above when executing the program.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a fault analysis method as described in any of the above.
The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a fault analysis method as described in any of the above.
According to the fault analysis method, the device, the electronic equipment and the storage medium, after the fault information in the urban rail transit signal system is obtained, one or more fault reasons matched with the current fault are calculated after the fault analysis is carried out, and then the N fault reasons are displayed in the fault statistics analysis interface according to the order of the occurrence probability of each fault, so that an operation and maintenance person can intuitively check the occurrence reason of the fault information, and the operation and maintenance processing is convenient for a user.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a fault analysis method described in an embodiment of the present application;
FIG. 2 is a schematic diagram of a fault analysis process according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a fault analysis device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a schematic flow chart of a fault analysis method described in an embodiment of the present application, as shown in fig. 1, including:
specifically, the fault information described in the embodiments of the present application may be obtained by a fault handling module in a train operation and maintenance system, where the fault handling module is used as a core database storage part in an intelligent operation and maintenance system, and provides a fault cause of a fault phenomenon of various types of devices. When a fault occurs, the fault handling module sends an operation command for the fault reason to the system background.
In this embodiment of the present application, the fault information may specifically be alarm information obtained by a train operation and maintenance system, for example, fault information such as a switch fault, a ZC board card fault, and the like.
And 120, determining N fault reasons corresponding to the fault information and the fault occurrence probability of each fault reason in a fault database of a fault handling module of the signal operation and maintenance system, and displaying the N fault reasons in a fault statistics analysis interface according to the order of the fault occurrence probability, wherein N is a positive integer.
The fault statistics analysis interface described in the embodiments of the present application may specifically be configured to display fault information and N fault causes corresponding to the fault information.
In the embodiment of the application, after the fault information in the urban rail transit signal system is obtained, N fault reasons matched with the current fault information can be calculated after system analysis, each fault reason is likely to correspond to different fault occurrence probabilities, and the operation and maintenance personnel need to pay attention to the fault occurrence probability more and more, so that the fault reasons with the higher fault occurrence probability can be ranked more forward when displayed, the fault reasons with the lower fault occurrence probability are ranked more backward when displayed.
Multiple fault reasons are displayed on a user interface after being sequenced according to probability priorities, each reason corresponds to one fault treatment suggestion independently, a solution is provided for a user, and an operator performs reason checking.
Optionally, in the embodiment of the present application, the fault handling module receives feedback of the fault reason, orders the fault reason by probability ratio after statistical analysis, and updates in the expert database of the fault handling module periodically (week/month/year).
In the embodiment of the application, after the fault information in the urban rail transit signal system is obtained, one or more fault reasons matched with the current fault are calculated after the fault analysis is performed, and then the N fault reasons are displayed on a fault statistics analysis interface according to the order of the occurrence probability of each fault, so that an operation and maintenance person can intuitively check the occurrence reason of the fault information, and the operation and maintenance processing is convenient for a user.
Optionally, after the step of displaying the N fault causes by the fault statistics analysis interface according to the magnitude order of the occurrence probabilities of the faults, the method further includes:
receiving a first input for adjusting the N fault cause display orders by a user;
and responding to the first input, displaying the N fault reasons according to the adjusted second ordering order in the fault statistics analysis interface, and adjusting the fault occurrence probability of the fault reasons according to the second ordering order.
Specifically, after the operation and maintenance personnel in the embodiment of the present application views that N fault causes are displayed according to the order of occurrence probability of each fault in the fault statistics analysis interface, it is possible to consider that the order of the order is not reasonable at this time, and at this time, the user can adjust the order of the N fault causes by himself.
The first input in the embodiment of the present application may specifically be an active input or a drag input, or may be a voice command input, which is not limited in the embodiment of the present application.
More specifically, in response to the first input, the display order of the N fault causes is further adjusted according to the first input, and then the adjusted content is displayed in the fault statistics analysis interface.
Meanwhile, the fault occurrence probability of the fault reasons can be correspondingly adjusted according to the adjusted second ordering sequence, namely, the ordering is adjusted to the front fault reason, the corresponding fault occurrence probability can be increased, the ordering is adjusted to the rear fault reason, and the corresponding fault occurrence probability can be reduced.
More specifically, in the embodiment of the application, the relevant data can be further stored after the adjustment is completed, so that the subsequent data can be tidied or stored.
In the embodiment of the application, the user can further adjust the display sequence of the N fault reasons according to the first input, so that the user can further adjust the display sequence of the fault reasons conveniently, and after adjusting the display sequence, the fault occurrence probability corresponding to the fault reasons can also be further adjusted.
Optionally, after the step of displaying the N fault causes by the fault statistics analysis interface according to the magnitude order of the occurrence probabilities of the faults, the method further includes:
receiving a second input of a user for a target fault cause of the N fault causes;
and responding to the second input, and displaying fault case information associated with the target fault reason.
Specifically, the second input in the embodiment of the present application is specifically configured to view fault case information corresponding to the target fault cause, which may specifically be a click operation or a long press operation.
In the embodiment of the application, the fault case library is mainly divided into two parts of 'fault statistical analysis' and 'case search query'. And carrying out rule classification on faults which are counted by fault analysis, and displaying the faults on a knowledge graph interface after sequencing the faults according to the quantity from at least more. The user can intuitively acquire the overall occurrence condition of the faults in the case library and the specific recorded content. The rule classification of the case library may be performed at a fixed period.
The case search query supports the use of search options to retrieve and query data records in a case library using time of occurrence of a fault, subsystem/device of occurrence of a fault, location of occurrence of a fault, etc. as screening conditions.
In the embodiment of the application, the fault case information related to the fault cause can be further checked through the second input, so that operation and maintenance personnel can be better helped to perform fault analysis, and a fault solution can be formulated.
Optionally, the method further comprises:
receiving a third input of a user to the fault knowledge graph interface;
responding to the third input, and displaying M subsystem fault identifications on the fault knowledge graph interface, wherein each subsystem fault identification points to a fault device of a subsystem;
receiving a fourth input of a user to a target subsystem fault identifier in the M subsystem fault identifiers;
responding to the fourth input, displaying P subsystem main equipment identifiers on the fault knowledge graph interface, wherein each subsystem main equipment identifier points to a fault phenomenon of one subsystem main equipment;
receiving a fifth input of a user to a target subsystem master device identifier in the P subsystem master device identifiers;
and responding to the fifth input, and displaying the fault site of the main equipment of the target subsystem and the occurrence reason of the fault phenomenon on the fault knowledge graph interface, wherein M and P are positive integers.
Specifically, in the embodiment of the application, all fault information of the operation and maintenance system can be displayed in a fault knowledge graph interface, and a knowledge graph part of the fault handling module provides fault analysis and fault handling measures for common faults; the display of the fault problem is divided into three stages, the first stage displays the fault equipment of the subsystem, the second stage displays the fault phenomenon of the subsystem main equipment, the third stage displays the specific reason of the phenomenon causing the fault, the fault description interface can intuitively display the detailed condition of the fault, and an operator can simply and conveniently acquire the fault equipment, the equipment fault phenomenon and the fault reason, so that the operator can know and examine and modify the fault more efficiently and accurately in an omnibearing manner.
Optionally, in the embodiment of the present application, fault statistical analysis may be further performed, for example, by classifying the faults in the case library according to rules, and displaying the faults in the fault statistical analysis interface after at least sorting the faults according to the number. The user can intuitively acquire the overall occurrence condition of the faults in the case library, and can support clicking any fault problem to check a plurality of detailed fault records of the type. Options are provided on the fault statistics analysis interface so that rule classification of the case library can be performed according to a fixed period.
Fig. 2 is a schematic diagram of fault analysis processing provided in an embodiment of the present application, as shown in fig. 2, including: after the user layer in the train operation and maintenance system discovers fault information, the user layer sends the alarm information to the monitoring alarm unit, the monitoring alarm unit generates alarm detail information according to the alarm information, then the alarm detail information is further sent to the fault handling module for processing, and the fault handling module can further inquire fault reasons in the database according to the alarm detail, and N fault reasons which can cause the fault information are possibly inquired at the moment.
At this time, the N fault causes may be further sent to a prediction analysis module, where the prediction analysis module may sort the N fault causes according to the occurrence probability of each fault cause, and finally, the sorted result is displayed or stored in a corresponding database after the user performs secondary inspection and adjustment.
The fault analysis apparatus provided by the present invention will be described below, and the fault analysis apparatus described below and the fault analysis method described above may be referred to correspondingly to each other.
Fig. 3 is a schematic structural diagram of a fault analysis device provided in an embodiment of the present application, as shown in fig. 3, including: an acquisition module 310 and an analysis module 320;
the acquiring module 310 is configured to acquire fault information in the urban rail transit signal system;
the analysis module 320 is configured to determine N fault reasons corresponding to the fault information and fault occurrence probabilities of the fault reasons in a fault database of the fault handling module of the signal operation and maintenance system, and display the N fault reasons in a fault statistics analysis interface according to the order of the fault occurrence probabilities, where N is a positive integer.
Optionally, the apparatus further comprises:
the first receiving module is used for receiving a first input for adjusting the N fault reason display sequences by a user;
the first display module is used for responding to the first input, displaying the N fault reasons according to the adjusted second ordering sequence on the fault statistics analysis interface, and adjusting the fault occurrence probability of the fault reasons according to the second ordering sequence.
According to the present invention, there is provided a fault analysis apparatus, the apparatus further comprising:
the second receiving module is used for receiving a second input of a user for a target fault reason in the N fault reasons;
and the second display module is used for responding to the second input and displaying the fault case information related to the target fault reason.
Optionally, the apparatus further comprises:
the third receiving module is used for receiving a third input of a fault knowledge graph interface from a user;
the third display module is used for responding to the third input and displaying M subsystem fault identifiers on the fault knowledge graph interface, wherein each subsystem fault identifier points to a fault device of a subsystem;
the fourth receiving module is used for receiving fourth input of a user on a target subsystem fault identifier in the M subsystem fault identifiers;
the fourth display module is used for responding to the fourth input and displaying P subsystem main equipment identifiers on the fault knowledge graph interface, wherein each subsystem main equipment identifier points to a fault phenomenon of one subsystem main equipment;
a fifth receiving module, configured to receive a fifth input of a user to a target subsystem master device identifier in the P subsystem master device identifiers;
and the fifth display module is used for responding to the fifth input and displaying the fault site of the main equipment of the target subsystem and the occurrence reason of the fault phenomenon on the fault knowledge graph interface, wherein M and P are positive integers.
In the embodiment of the application, after the fault information in the urban rail transit signal system is obtained, one or more fault reasons matched with the current fault are calculated after the fault analysis is performed, and then the N fault reasons are displayed on a fault statistics analysis interface according to the order of the occurrence probability of each fault, so that an operation and maintenance person can intuitively check the occurrence reason of the fault information, and the operation and maintenance processing is convenient for a user.
Fig. 4 is a schematic structural diagram of an electronic device according to the present invention, as shown in fig. 4, the electronic device may include: processor 410, communication interface (Communications Interface) 420, memory 430 and communication bus 440, wherein processor 410, communication interface 420 and memory 430 communicate with each other via communication bus 440. Processor 410 may invoke logic instructions in memory 430 to perform a failure analysis method comprising: acquiring fault information in an urban rail transit signal system;
n fault reasons corresponding to the fault information and the fault occurrence probability of each fault reason are determined in a fault database of a fault handling module of the signal operation and maintenance system, the N fault reasons are displayed on a fault statistics analysis interface according to the order of the fault occurrence probability, and N is a positive integer.
Further, the logic instructions in the memory 430 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of performing the fault analysis method provided by the methods described above, the method comprising: acquiring fault information in an urban rail transit signal system;
n fault reasons corresponding to the fault information and the fault occurrence probability of each fault reason are determined in a fault database of a fault handling module of the signal operation and maintenance system, the N fault reasons are displayed on a fault statistics analysis interface according to the order of the fault occurrence probability, and N is a positive integer.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the fault analysis method provided by the above methods, the method comprising: acquiring fault information in an urban rail transit signal system;
n fault reasons corresponding to the fault information and the fault occurrence probability of each fault reason are determined in a fault database of a fault handling module of the signal operation and maintenance system, the N fault reasons are displayed on a fault statistics analysis interface according to the order of the fault occurrence probability, and N is a positive integer.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of fault analysis, comprising:
acquiring fault information in an urban rail transit signal system;
n fault reasons corresponding to the fault information and the fault occurrence probability of each fault reason are determined in a fault database of a fault handling module of the signal operation and maintenance system, the N fault reasons are displayed on a fault statistics analysis interface according to the order of the fault occurrence probability, and N is a positive integer.
2. The fault analysis method according to claim 1, wherein after the step of displaying the N fault causes by the fault statistics analysis interface in order of magnitude of each of the fault occurrence probabilities, the method further comprises:
receiving a first input for adjusting the N fault cause display orders by a user;
and responding to the first input, displaying the N fault reasons according to the adjusted second ordering order in the fault statistics analysis interface, and adjusting the fault occurrence probability of the fault reasons according to the second ordering order.
3. The fault analysis method according to claim 1, wherein after the step of displaying the N fault causes by the fault statistics analysis interface in order of magnitude of each of the fault occurrence probabilities, the method further comprises:
receiving a second input of a user for a target fault cause of the N fault causes;
and responding to the second input, and displaying fault case information associated with the target fault reason.
4. The fault analysis method of claim 1, wherein the method further comprises:
receiving a third input of a user to the fault knowledge graph interface;
responding to the third input, and displaying M subsystem fault identifications on the fault knowledge graph interface, wherein each subsystem fault identification points to a fault device of a subsystem;
receiving a fourth input of a user to a target subsystem fault identifier in the M subsystem fault identifiers;
responding to the fourth input, displaying P subsystem main equipment identifiers on the fault knowledge graph interface, wherein each subsystem main equipment identifier points to a fault phenomenon of one subsystem main equipment;
receiving a fifth input of a user to a target subsystem master device identifier in the P subsystem master device identifiers;
and responding to the fifth input, and displaying the fault site of the main equipment of the target subsystem and the occurrence reason of the fault phenomenon on the fault knowledge graph interface, wherein M and P are positive integers.
5. A fault analysis apparatus, comprising:
the acquisition module is used for acquiring fault information in the urban rail transit signal system;
the analysis module is used for determining N fault reasons corresponding to the fault information and the fault occurrence probability of each fault reason in a fault database of the fault handling module of the signal operation and maintenance system, and displaying the N fault reasons in a fault statistics analysis interface according to the order of the fault occurrence probability, wherein N is a positive integer.
6. The fault analysis device of claim 5, wherein the device further comprises:
the first receiving module is used for receiving a first input for adjusting the N fault reason display sequences by a user;
the first display module is used for responding to the first input, displaying the N fault reasons according to the adjusted second ordering sequence on the fault statistics analysis interface, and adjusting the fault occurrence probability of the fault reasons according to the second ordering sequence.
7. The fault analysis device of claim 5, wherein the device further comprises:
the second receiving module is used for receiving a second input of a user for a target fault reason in the N fault reasons;
and the second display module is used for responding to the second input and displaying the fault case information related to the target fault reason.
8. The fault analysis device of claim 5, wherein the device further comprises:
the third receiving module is used for receiving a third input of a fault knowledge graph interface from a user;
the third display module is used for responding to the third input and displaying M subsystem fault identifiers on the fault knowledge graph interface, wherein each subsystem fault identifier points to a fault device of a subsystem;
the fourth receiving module is used for receiving fourth input of a user on a target subsystem fault identifier in the M subsystem fault identifiers;
the fourth display module is used for responding to the fourth input and displaying P subsystem main equipment identifiers on the fault knowledge graph interface, wherein each subsystem main equipment identifier points to a fault phenomenon of one subsystem main equipment;
a fifth receiving module, configured to receive a fifth input of a user to a target subsystem master device identifier in the P subsystem master device identifiers;
and the fifth display module is used for responding to the fifth input and displaying the fault site of the main equipment of the target subsystem and the occurrence reason of the fault phenomenon on the fault knowledge graph interface, wherein M and P are positive integers.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the fault analysis method of any of claims 1 to 4 when the program is executed by the processor.
10. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the fault analysis method according to any one of claims 1 to 4.
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| CN117193252A (en) * | 2023-09-28 | 2023-12-08 | 广东百德朗科技有限公司 | Intelligent building remote operation and maintenance method and device based on data platform and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117193252A (en) * | 2023-09-28 | 2023-12-08 | 广东百德朗科技有限公司 | Intelligent building remote operation and maintenance method and device based on data platform and electronic equipment |
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