CN112183780A - Fault maintenance guiding method, device and system and storage medium - Google Patents
Fault maintenance guiding method, device and system and storage medium Download PDFInfo
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- 238000012423 maintenance Methods 0.000 title claims abstract description 93
- 238000000034 method Methods 0.000 title claims abstract description 61
- 230000008439 repair process Effects 0.000 claims abstract description 29
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000012549 training Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 9
- 238000013024 troubleshooting Methods 0.000 claims description 6
- 238000002372 labelling Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 abstract description 2
- 238000004458 analytical method Methods 0.000 description 6
- 238000003909 pattern recognition Methods 0.000 description 5
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- 238000012545 processing Methods 0.000 description 3
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- 238000004422 calculation algorithm Methods 0.000 description 2
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- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013145 classification model Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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- 238000013507 mapping Methods 0.000 description 1
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
Abstract
The invention discloses a fault maintenance guiding method, a device and a system thereof, and a storage medium, wherein the method comprises the following steps: monitoring the working parameters of the target electrical appliance in real time, and judging whether the working parameters are within a preset working parameter threshold range: if so, inputting the working parameters into a fault category judgment model, determining the fault category of the target electrical appliance, and determining whether the fault of the target electrical appliance belongs to a fault which can be automatically repaired or a fault which cannot be automatically repaired according to the fault category of the target electrical appliance; when the fault of the target electrical appliance belongs to the fault which can be repaired by self, providing a maintenance operation guide corresponding to the fault; when the fault of the target electrical appliance belongs to the fault which can not be repaired by self, the information of maintenance personnel corresponding to the fault is provided, whether the electrical appliance fault belongs to the fault which can be repaired by a user or not is judged according to the data analysis of the electrical appliance fault, the user is guided to manually repair or report the fault, and the fault can be repaired more timely and more accurately.
Description
Technical Field
The invention belongs to the technical field of electric appliance maintenance application, and particularly relates to a fault maintenance guiding method, a fault maintenance guiding device, a fault maintenance guiding system and a storage medium.
Background
The electric appliance changes the life of people and relieves the people from the complicated and repeated housework; with the development of science and technology, intelligent household appliances are also increasingly involved in the life of people, so that more intelligent, easier-to-use and more personalized life experience is brought to people. The functions of the household appliances are continuously innovated, but the processing mode of the electric appliance faults is not advanced greatly, when the electric appliance is in fault, the cause of the fault is not clear, the problem is solved without the start of the fault, and finally, the fault can only be reported; if the user maintains the electric appliance by himself, on one hand, the user is difficult to have the opportunity and power to learn the maintenance of the electric appliance, and on the other hand, even if the user learns the maintenance of the electric appliance, the reason of the fault can not be accurately judged.
Patent No. CN 110909891 a discloses a method and device for repairing electrical faults. Wherein, the method comprises the following steps: acquiring a structural image of a target electrical appliance; analyzing the structural image by using a fault model to obtain a fault problem; determining a maintenance scheme based on the fault problem, wherein the maintenance scheme at least comprises the following steps: a service tool used to service a target appliance. This patent has solved the technical problem that the maintenance personal need spend a large amount of time to confirm the maintenance mode when relevant art overhauls electrical apparatus. However, for the failure of the electrical appliance, the time for the maintenance personnel to determine the maintenance mode is only reduced, for the user, as long as the electrical appliance fails, the maintenance personnel still need to be contacted, and even if the failure is not large, the user can use the electrical appliance after waiting for the maintenance of the maintenance personnel, so that the user is delayed to use the electrical appliance in time, the maintenance cost is also paid, and meanwhile, a merchant selling the electrical appliance needs to bear a large amount of maintenance work, so that the user and the merchant have poor experience in the aspect of electrical appliance maintenance.
There is a need for a method, apparatus and system for guiding fault maintenance, and a storage medium.
Disclosure of Invention
The invention aims to solve the technical problem of how to guide a user to quickly solve the problem of maintenance faults when the electric appliance has faults.
In order to solve the problems, the invention provides a fault maintenance guiding method, a fault maintenance guiding device, a fault maintenance guiding system and a storage medium.
In a first aspect, the present invention provides a fault maintenance guiding method, including the following steps:
monitoring the working parameters of the target electrical appliance in real time, and judging whether the working parameters are within a preset working parameter threshold range:
when the working parameters are not within the preset working parameter threshold value range, inputting the working parameters into a fault type judgment model, and determining the fault type of the target electrical appliance;
different maintenance guidance information is provided according to different fault categories.
According to the embodiment of the present invention, preferably, the providing of different maintenance guidance information according to different fault categories includes the following steps:
determining whether the fault of the target electrical appliance belongs to a fault which can be repaired by self or a fault which cannot be repaired by self according to the fault category of the target electrical appliance;
when the fault of the target electrical appliance belongs to the fault which can be repaired by self, providing a maintenance operation guide corresponding to the fault;
and when the fault of the target electrical appliance belongs to the fault which cannot be repaired by self, providing maintenance personnel information corresponding to the fault.
According to the embodiment of the present invention, preferably, the determining whether the operating parameter is within a preset operating parameter threshold range includes the following steps:
and comparing the different types of working parameters with the respective corresponding preset working parameter threshold value ranges, and judging whether each type of working parameter is in the corresponding preset working parameter threshold value range or not so as to obtain the working parameters out of the preset working parameter threshold value ranges.
According to an embodiment of the present invention, preferably, the method further comprises the steps of:
and carrying out classification training by using the known working parameters and the fault classes corresponding to the working parameters to obtain a fault class judgment model.
According to an embodiment of the present invention, preferably, after determining the fault category of the target appliance, the method further comprises the steps of:
counting the occurrence frequency of each fault of the target electric appliance, and sending the type of the fault of which the occurrence frequency exceeds the preset frequency to the electric appliance with the same model as the target electric appliance for reminding the regular check of the fault.
According to the embodiment of the present invention, preferably, before determining whether the fault of the target electrical apparatus belongs to the self-repairable fault or the non-self-repairable fault according to the fault category of the target electrical apparatus, different maintenance guidance information is provided according to different fault categories, further comprising the steps of: :
and labeling each fault category of the target electrical appliance with a label which can be repaired by self or can not be repaired by self.
According to the embodiment of the present invention, it is preferable that after the maintenance staff information corresponding to the failure is provided, different maintenance guide information is provided according to different failure categories, further including the steps of: :
and determining all possible reasons causing the fault according to the fault category based on the corresponding relation between the preset fault category and the reason causing the fault, and providing the reasons for maintenance personnel.
In a second aspect, the present invention provides a malfunction repair guide apparatus, including:
the judging module is used for monitoring the working parameters of the target electrical appliance in real time and judging whether the working parameters are within a preset working parameter threshold range:
the classification module is used for inputting the working parameters into a fault category judgment model when the working parameters are not within a preset working parameter threshold range, determining the fault category of the target electrical appliance, and determining whether the fault of the target electrical appliance belongs to a fault which can be repaired by self or a fault which cannot be repaired by self according to the fault category of the target electrical appliance;
the system comprises a providing module, a judging module and a judging module, wherein the providing module is used for providing a maintenance operation guide corresponding to a fault when the fault of a target electric appliance belongs to the fault which can be repaired by self; and the system is also used for providing maintenance personnel information corresponding to the fault when the fault of the target electrical appliance belongs to the fault which cannot be repaired by self.
In a third aspect, the invention provides a storage medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the steps of the above-described method.
In a fourth aspect, the present invention provides a troubleshooting guidance system, comprising:
the acquisition device is used for acquiring the working parameters of the target electric appliance;
and the server is connected with the acquisition device and comprises a memory and a processor, wherein the memory is stored with a computer program, and the computer program is executed by the processor and realizes the steps of the method according to the working parameters acquired by the acquisition device.
According to an embodiment of the present invention, preferably, the system further comprises:
and the client is connected with the server and used for displaying the maintenance operation guide or the maintenance personnel information provided by the server.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
by applying the fault maintenance guiding method, the working parameters of the target electrical appliance are monitored in real time, and whether the working parameters are within the range of the preset working parameter threshold value is judged: when the working parameters are not within the preset working parameter threshold value range, inputting the working parameters into a fault type judgment model, and determining the fault type of the target electrical appliance so as to determine whether the fault of the target electrical appliance belongs to a self-repairable fault or a self-irreparable fault according to the fault type of the target electrical appliance; when the fault of the target electrical appliance belongs to the fault which can be repaired by self, providing a maintenance operation guide corresponding to the fault; when the fault of the target electrical appliance belongs to the fault which cannot be repaired by self, the information of maintenance personnel corresponding to the fault is provided, whether the electrical appliance fault belongs to the fault which can be repaired by a user is judged according to the data analysis of the electrical appliance fault, the user is guided to manually repair or report the repair, the user can know the electrical appliance fault more timely, repair more accurately and know the operation condition of the electrical appliance more.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart illustrating a method for troubleshooting guidance in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of a troubleshooting guiding method according to a second embodiment of the invention;
FIG. 3 shows a flow chart of a third troubleshooting boot method of an embodiment of the invention;
FIG. 4 is a flowchart illustrating a three-fault classification judgment model training process according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a specific implementation of step S303 in the third fault repair guidance method according to the embodiment of the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
Example one
In order to solve the technical problems in the prior art, the embodiment of the invention provides a fault maintenance guiding method.
Referring to fig. 1, the fault repair guiding method of the present embodiment includes the following steps:
s110, monitoring working parameters of a target electric appliance in real time;
s120, judging whether the working parameters are within a preset working parameter threshold range:
if yes, no response is given;
if not, executing step S130;
s130, inputting the working parameters into a fault type judgment model, and determining the fault type of the target electric appliance;
s140, judging whether the fault of the target electrical appliance belongs to the fault capable of being repaired by self according to the fault category of the target electrical appliance;
if yes, go to step S150;
if not, go to step S160;
s150, providing a maintenance operation guide corresponding to the fault;
and S160, providing maintenance personnel information corresponding to the fault.
Wherein, before step S130, the method further comprises the steps of:
and carrying out classification training by using the known working parameters and the fault classes corresponding to the working parameters to obtain a fault class judgment model. The failure category judgment model may be any one of a pattern recognition model, a neural network model, and a model combining pattern recognition and a neural network.
After determining the fault category of the target appliance at step S130, the method further includes the steps of:
counting the occurrence frequency of each fault of the target electric appliance, and sending the type of the fault of which the occurrence frequency exceeds the preset frequency to the electric appliance with the same model as the target electric appliance for reminding the regular check of the fault.
Before determining whether the fault of the target appliance belongs to the self-repairable fault or the non-self-repairable fault according to the fault category of the target appliance at step S130, the method further includes the steps of:
and labeling each fault category of the target electrical appliance with a label which can be repaired by self or can not be repaired by self.
After providing the serviceman information corresponding to the failure at step S150, the method further includes the steps of:
and determining all possible reasons causing the fault according to the fault category based on the corresponding relation between the preset fault category and the reason causing the fault, and providing the reasons for maintenance personnel.
The fault maintenance guiding method of the embodiment intelligently identifies the fault type through the fault type judgment model, can find the fault in time, and can efficiently and accurately judge the fault type by using a mode identification technology;
the fault maintenance guiding method of the embodiment analyzes and judges whether the electrical appliance fault belongs to the user repairable fault or not according to the electrical appliance fault data, guides the user to manually repair or report the fault, and can help the user to better use the electrical appliance and obtain more careful electrical appliance service.
The fault maintenance guiding method of the embodiment divides the fault into the user repairable fault and the user unrepairable fault, and solves the minor fault for the user, so that the load of a company for repairing the fault can be reduced, the user can repair the fault by himself, the time for contacting with a repairer is reduced, the faulty electric appliance can be effectively repaired, and the maintenance cost can be saved for the user.
According to the fault maintenance guiding method, the fault which is easy to occur in the target electrical appliance is obtained by counting the frequency of certain fault occurring in the target electrical appliance, so that the electrical appliance of the same type as the target electrical appliance is informed of paying attention to the fault, and the experience of a user in using the electrical appliance is optimized.
According to the fault maintenance guiding method, the fault type is labeled to determine whether the fault of the target electrical appliance belongs to the fault which can be repaired by self or the fault which cannot be repaired by self, and the fault repairing scheme can be determined quickly.
The fault maintenance guiding method of the embodiment can guide the maintenance personnel to quickly repair the fault which can not be repaired by the user by providing the possible occurrence reason of the fault which can not be repaired by the user for the maintenance personnel.
Example two
In order to solve the above technical problems in the prior art, an embodiment of the present invention provides a fault repair guidance method based on the first embodiment, where the method in the first embodiment of the present invention improves step S120.
Referring to fig. 2, the fault repair guiding method of the present embodiment includes the following steps:
s210, monitoring working parameters of a target electric appliance in real time;
s221, comparing different kinds of working parameters with respective corresponding preset working parameter threshold ranges;
s222, judging whether each working parameter is in the corresponding preset working parameter threshold range:
if yes, no response is given;
if not, go to step S230;
s230, inputting the working parameters into a fault type judgment model, and determining the fault type of the target electric appliance;
s240, judging whether the fault of the target electrical appliance belongs to the fault capable of being repaired by self according to the fault category of the target electrical appliance;
if yes, go to step S250;
if not, go to step S260;
s250, providing a maintenance operation guide corresponding to the fault;
and S260, providing maintenance personnel information corresponding to the fault.
According to the fault maintenance guiding method, whether the target electrical appliance has a fault or not can be quickly judged by judging whether different types of working parameters are within the preset working parameter threshold range or not.
The fault maintenance guiding method of the embodiment organically combines fault type judgment and user guidance, improves user participation, enlarges user right of awareness, reduces user maintenance cost, saves user maintenance waiting time, and improves user experience.
EXAMPLE III
In order to solve the above technical problems in the prior art, an embodiment of the present invention is an application example of the fault repair guidance method according to the first embodiment.
Referring to fig. 3, the fault repair guiding method of the present embodiment includes the following steps:
s310: the method comprises the following steps that sensors built in different types of electric appliances acquire working parameters of the electric appliances during operation, and when a fault occurs, the working parameters are uploaded to a server;
s320: the server calls a fault category judgment model to process the collected fault information, and the training flow of the model is shown in fig. 4. The model is obtained through training of a pattern recognition technology, and each set of training data is a working parameter and corresponding fault information, wherein the fault information comprises fault categories. Manually selecting features with high correlation according to the corresponding relation between common faults of the electric appliance and various parameters, training to obtain a classification model or rule, verifying the performance of the classifier by using test data, and continuously optimizing the model;
s330: the processing flow is shown in fig. 5, which pushes different information to the user according to the failure category. If the fault belongs to the fault repairable by the user, providing an operation guide (fault reason, fault analysis, maintenance method and maintenance video) for the user to guide the user to repair manually, wherein the operation guide is made by a merchant, is classified and stored on a server according to the type of the electric appliance and the type of the fault, and can be called when the corresponding fault is processed; otherwise, guiding the user to report the repair, generating a fault possible reason analysis list for the user, and assisting maintenance personnel to repair the fault.
In step S320, a training process of the pattern recognition model is described below by taking the training of the air conditioner fault determination model as an example.
Firstly, the method has the following conditions that firstly, an index set X which is representative for the model exists, X is { X1, X2, x3..., xn }, a conclusion set of all possible results of the model exists, a method set which can carry out pattern recognition and map the index set to a conclusion set exists, and if two or more types of pattern processing results in the method set have intersection, the final decision is obtained by algorithm balance adjustment. Then, training is performed according to the following procedure: the model index set comprises a plurality of groups of items of indexes, which are divided into general indexes and special indexes (both manually labeled and judged according to expert experience), and for the general indexes, the general indexes are observed by pairwise values from the indexes and conclusions at random, and a regression equation and corresponding weight coefficients of the conclusions about the indexes are obtained by using a mathematical method; and for the special indexes, the special indexes form a search algorithm, each special index is mapped into a node, when the node is searched, the mapping conclusion is recorded, and after the search is finished, all the conclusions of the search are connected. And finally, synthesizing according to an algorithm and giving a final conclusion.
The fault maintenance guiding method of the embodiment identifies the fault type through the fault type judgment model, provides maintenance guidance for a user, specifically detects the operation condition of the electric appliance in real time and obtains the working parameters of the electric appliance, when the abnormal operation of the electric appliance is detected, the working parameters are input into the fault type judgment model, the fault type of the electric appliance is judged by the model according to the analysis of equipment fault data, and if the fault belongs to a fault which can be repaired by the user, an operation guide is provided for the user to guide the user to manually repair; otherwise, a possible failure reason analysis sheet is generated for the user, the user is guided to report the repair, the maintenance cost can be saved, the maintenance efficiency is improved, and the user experience is optimized.
Example four
In order to solve the technical problems in the prior art, an embodiment of the present invention provides a fault maintenance guiding device.
The trouble repair guide device of the present embodiment includes:
the judging module is used for monitoring the working parameters of the target electrical appliance in real time and judging whether the working parameters are within a preset working parameter threshold range:
the classification module is used for inputting the working parameters into a fault category judgment model when the working parameters are not in a preset working parameter threshold range, and determining the fault category of the target electrical appliance;
and the providing module is used for providing different maintenance guide information according to different fault categories.
The providing module is also used for determining whether the fault of the target electrical appliance belongs to the self-repairable fault or the self-unrepairable fault according to the fault category of the target electrical appliance;
when the fault of the target electrical appliance belongs to the fault which can be repaired by self, providing a maintenance operation guide corresponding to the fault; and the system is also used for providing maintenance personnel information corresponding to the fault when the fault of the target electrical appliance belongs to the fault which cannot be repaired by self.
The judging module is further configured to compare different types of working parameters with respective corresponding preset working parameter threshold ranges, and judge whether each type of working parameter is within the corresponding preset working parameter threshold range, so as to obtain a working parameter that is not within the preset working parameter threshold range.
The trouble repair guide device of the present embodiment further includes:
and the model training module is used for carrying out classification training by utilizing the known working parameters and the fault classes corresponding to the working parameters to obtain a fault class judgment model.
The trouble repair guide device of the present embodiment further includes:
and the counting module is used for counting the occurrence frequency of each fault of the target electrical appliance after the fault category of the target electrical appliance is determined, and sending the fault category of which the occurrence frequency exceeds the preset frequency to the electrical appliance of the same model as the target electrical appliance for reminding the regular check of the fault.
The trouble repair guide device of the present embodiment further includes:
and the marking module is used for marking a label capable of self-repairing or not capable of self-repairing for each fault category of the target electrical appliance before determining whether the fault of the target electrical appliance belongs to the fault capable of self-repairing or not capable of self-repairing according to the fault category of the target electrical appliance.
The trouble repair guide device of the present embodiment further includes:
and the fault reason providing module is used for determining all possible reasons causing the fault according to the fault category and providing the possible reasons for the fault to maintenance personnel according to the fault category based on the corresponding relation between the preset fault category and the reason causing the fault after providing the maintenance personnel information corresponding to the fault.
EXAMPLE five
In order to solve the above technical problems in the prior art, an embodiment of the present invention further provides a storage medium.
The storage medium of the present embodiment has stored thereon a computer program which, when executed by a processor, implements the steps of the method in the above-described embodiments.
EXAMPLE six
In order to solve the technical problems in the prior art, the embodiment of the invention also provides a fault maintenance guiding system.
The trouble repair guidance system of the present embodiment includes:
the acquisition device is used for acquiring the working parameters of the target electric appliance;
the server is connected with the acquisition device and comprises a memory and a processor, wherein the memory is stored with a computer program, and the computer program is executed by the processor and realizes the steps of the method according to the working parameters acquired by the acquisition device;
and the client is connected with the server and used for displaying the maintenance operation guide or the maintenance personnel information provided by the server.
In the fault maintenance guidance system provided by the embodiment, the sensor acquires working parameter data, and when a target electrical appliance fails, the working parameter data is uploaded to the server; the server is used for storing maintenance guidelines and repair materials and providing a fault category judgment model; the client is corresponding APP and small programs in the user smart phone and has various functions of matching information transmitted by the target electrical appliance and the decoding server and displaying or playing corresponding information.
The fault maintenance guiding system of the embodiment detects the running condition of the electric appliance in real time and obtains the working parameters of the electric appliance, when the abnormal running of the electric appliance is detected, the working parameters are input into the fault type judgment model, the fault type of the electric appliance is judged by the model according to the analysis of equipment fault data, and if the fault belongs to a fault repairable by a user, an operation guide is provided for the user to guide the user to manually repair the fault; otherwise, a possible failure reason analysis sheet is generated for the user, the user is guided to report the repair, the maintenance cost can be saved, the maintenance efficiency is improved, and the user experience is optimized.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (11)
1. A method of fault repair guidance, comprising the steps of:
monitoring the working parameters of the target electrical appliance in real time, and judging whether the working parameters are within a preset working parameter threshold range:
when the working parameters are not within the preset working parameter threshold value range, inputting the working parameters into a fault type judgment model, and determining the fault type of the target electrical appliance;
different maintenance guidance information is provided according to different fault categories.
2. The method of claim 1, wherein providing different service guide information according to different fault categories comprises the steps of:
determining whether the fault of the target electrical appliance belongs to a fault which can be repaired by self or a fault which cannot be repaired by self according to the fault category of the target electrical appliance;
when the fault of the target electrical appliance belongs to the fault which can be repaired by self, providing a maintenance operation guide corresponding to the fault;
and when the fault of the target electrical appliance belongs to the fault which cannot be repaired by self, providing maintenance personnel information corresponding to the fault.
3. The method of claim 1, wherein determining whether the operating parameter is within a predetermined operating parameter threshold comprises:
and comparing the different types of working parameters with the respective corresponding preset working parameter threshold value ranges, and judging whether each type of working parameter is in the corresponding preset working parameter threshold value range or not so as to obtain the working parameters out of the preset working parameter threshold value ranges.
4. The method according to claim 1, characterized in that the method further comprises the steps of:
and carrying out classification training by using the known working parameters and the fault classes corresponding to the working parameters to obtain a fault class judgment model.
5. The method according to claim 1, wherein after determining the fault category of the target appliance, the method further comprises the steps of:
counting the occurrence frequency of each fault of the target electric appliance, and sending the type of the fault of which the occurrence frequency exceeds the preset frequency to the electric appliance with the same model as the target electric appliance for reminding the regular check of the fault.
6. The method according to claim 2, wherein before determining whether the fault of the target appliance belongs to the self-repairable fault or the non-self-repairable fault according to the fault category of the target appliance, different maintenance guidance information is provided according to different fault categories, further comprising the steps of: :
and labeling each fault category of the target electrical appliance with a label which can be repaired by self or can not be repaired by self.
7. The method of claim 2, wherein after providing service personnel information corresponding to the fault, providing different service guide information according to different fault categories, further comprising the steps of: :
and determining all possible reasons causing the fault according to the fault category based on the corresponding relation between the preset fault category and the reason causing the fault, and providing the reasons for maintenance personnel.
8. A maintenance fault guide device, comprising:
the judging module is used for monitoring the working parameters of the target electrical appliance in real time and judging whether the working parameters are within a preset working parameter threshold range:
the classification module is used for inputting the working parameters into a fault category judgment model when the working parameters are not in a preset working parameter threshold range, and determining the fault category of the target electrical appliance;
and the providing module is used for providing different maintenance guide information according to different fault categories.
9. A storage medium on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
10. A troubleshooting guidance system, comprising:
the acquisition device is used for acquiring the working parameters of the target electric appliance;
a server connected to the acquisition device and comprising a memory and a processor, the memory having stored thereon a computer program that, when executed by the processor, implements the steps of the method according to any one of claims 1 to 7, depending on the operating parameters acquired by the acquisition device.
11. The troubleshooting guidance system of claim 10, further comprising:
and the client is connected with the server and used for displaying the maintenance operation guide or the maintenance personnel information provided by the server.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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