CN111881278B - Fault confirmation method, device, storage medium, electronic equipment and air conditioner - Google Patents
Fault confirmation method, device, storage medium, electronic equipment and air conditioner Download PDFInfo
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- 238000004590 computer program Methods 0.000 claims description 15
- 238000003745 diagnosis Methods 0.000 claims description 10
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Abstract
The invention discloses a fault confirmation method, a device, a storage medium, electronic equipment and an air conditioner. According to the method, based on the knowledge graph, the fault investigation guiding information is sent to realize accurate guiding of fault investigation for the user based on the feedback information of the user on the fault investigation guiding information, so that the fault investigation efficiency is greatly improved, and the use experience of the user is improved.
Description
Technical Field
The present invention relates to the field of computer applications, and in particular, to a fault confirmation method, a fault confirmation device, a storage medium, an electronic device, and an air conditioner.
Background
In the existing fault checking process, a user usually needs to find out the fault type from a maintenance instruction according to the fault phenomenon of equipment, and then check the fault reasons one by one based on the fault type, so that the user needs to spend more time and the problem of missing checking the fault reasons or inaccurate fault reason confirmation can occur.
Disclosure of Invention
The invention aims to solve the technical problems that: the fault detection method and the fault detection device can accurately guide the user to conduct fault detection, and improve the experience of the user.
In order to solve the technical problems, the invention provides a fault confirmation method, a device, a storage medium, electronic equipment and an air conditioner.
In a first aspect of the present invention, there is provided a fault confirmation method, comprising:
receiving a fault description instruction;
determining a fault type corresponding to the fault description instruction and a fault troubleshooting guide link corresponding to the fault type based on a knowledge graph;
Transmitting the fault troubleshooting guide information based on the fault troubleshooting guide link;
And receiving feedback information of the fault troubleshooting guide information, and confirming a fault reason based on the feedback information.
Optionally, determining, based on a knowledge graph, a fault type corresponding to the fault description instruction and a fault troubleshooting guide link corresponding to the fault type includes:
Based on a knowledge graph, sending fault type inquiry information corresponding to the fault description instruction, and based on a response of a user to the fault type inquiry information, determining a fault type corresponding to the fault description instruction and a fault troubleshooting guide link corresponding to the fault type.
Optionally, the fault type corresponds to a plurality of the fault troubleshooting guide links, and the sending the fault troubleshooting guide information based on the fault troubleshooting guide links includes:
and randomly selecting one of a plurality of fault troubleshooting guide links corresponding to the fault type, and sending fault troubleshooting guide information based on the fault troubleshooting guide link.
Optionally, the fault type corresponds to a plurality of the fault troubleshooting guide links, and the sending the fault troubleshooting guide information based on the fault troubleshooting guide links includes:
Querying historical fault statistics;
and selecting the fault diagnosis guide link which corresponds to the fault type and has the largest fault frequency according to the fault frequency corresponding to each fault diagnosis guide link in the historical fault statistic data, and sending the fault diagnosis guide information.
Optionally, receiving feedback information of the troubleshooting guide information, and confirming a cause of the fault based on the feedback information, including:
Receiving feedback information of the fault troubleshooting guide information, and ending the fault troubleshooting guide when the feedback information indicates that the cause of the fault is confirmed;
And when the feedback information indicates that the fault cause cannot be confirmed, replacing the fault cause with other fault troubleshooting guide links corresponding to the fault type, and sending the fault troubleshooting guide information to confirm the fault cause.
Optionally, receiving feedback information of the troubleshooting guide information, and when the feedback information indicates that the cause of the fault is confirmed, the fault confirmation method further includes: and recording a fault troubleshooting guide link corresponding to the fault reason, and updating the fault times of the fault troubleshooting guide link in the historical fault statistical data.
Optionally, the sending the troubleshooting guiding information includes: and sending the fault troubleshooting guide information in a voice broadcasting mode.
In a second aspect of the present invention, there is provided a fault confirmation apparatus comprising:
The instruction receiving module is used for receiving the fault description instruction;
The fault analysis module is used for determining a fault type corresponding to the fault description instruction and a fault troubleshooting guide link corresponding to the fault type based on the knowledge graph;
the troubleshooting guide module is used for sending troubleshooting guide information based on the troubleshooting guide link;
And the fault confirming module is used for receiving feedback information of the fault troubleshooting guide information and confirming a fault reason based on the feedback information.
In a third aspect of the present invention, there is provided a storage medium having stored therein a computer program which, when executed by a processor, is capable of implementing the fault confirmation method as described above.
In a fourth aspect of the present invention, there is provided an electronic device comprising a processor and a memory, the memory having stored therein a computer program, the processor being capable of implementing the fault confirmation method as described above when executing the computer program stored in the memory.
In a fifth aspect of the present invention, there is provided an air conditioner comprising an air conditioner body, a processor and a memory, wherein the memory stores a computer program, and the processor is capable of implementing the fault confirmation method as described above when executing the computer program stored in the memory.
One or more embodiments of the above-described solution may have the following advantages or benefits compared to the prior art:
By receiving the fault description instruction, determining the fault type corresponding to the fault description instruction and the fault troubleshooting guide link corresponding to the fault type based on the knowledge graph, sending the fault troubleshooting guide information based on the fault troubleshooting guide link, and confirming the fault reason based on the feedback information by receiving the feedback information of the fault troubleshooting guide information. According to the method, based on the knowledge graph, the fault investigation guiding information is sent to realize accurate guiding of fault investigation for the user based on the feedback information of the user on the fault investigation guiding information, so that the efficiency of fault investigation and fault cause confirmation is greatly improved, and the use experience of the user is improved.
Drawings
The scope of the present disclosure may be better understood by reading the following detailed description of exemplary embodiments in conjunction with the accompanying drawings. The drawings included herein are:
Fig. 1 is a schematic flow chart of a fault confirmation method according to an embodiment of the present invention;
fig. 2 shows a schematic diagram of a knowledge graph according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a fault confirmation method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a fault confirmation device according to an embodiment of the present invention;
fig. 5 shows a schematic structural diagram of an air conditioner according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following detailed description of the implementation method of the present invention will be given with reference to the accompanying drawings and examples, by which the technical means are applied to solve the technical problems, and the implementation process for achieving the technical effects can be fully understood and implemented accordingly.
In the existing fault checking process, a user usually needs to find out the fault type from a maintenance instruction according to the fault phenomenon of equipment, then check the fault reasons one by one based on the fault type, more time is required for the user, and the problem of missing checking the fault reasons or inaccurate fault reason confirmation can occur.
In view of the above, the present invention provides a fault confirmation method, a device, a storage medium, an electronic apparatus, and an air conditioner, which are configured to determine a fault type corresponding to a fault description instruction and a fault troubleshooting guide link corresponding to the fault type based on a knowledge graph by receiving the fault description instruction, send the fault troubleshooting guide information based on the fault troubleshooting guide link, and confirm a cause of the fault based on the feedback information by receiving feedback information for the fault troubleshooting guide information. According to the method, based on the knowledge graph, the fault investigation guiding information is sent to realize accurate guiding of fault investigation for the user based on the feedback information of the user on the fault investigation guiding information, so that the fault investigation efficiency is greatly improved, and the use experience of the user is improved.
Example 1
Referring to fig. 1, fig. 1 shows a flow chart of a fault confirmation method according to an embodiment of the present invention, which includes:
step S01: and receiving a fault description instruction.
Step S02: based on the knowledge graph, determining a fault type corresponding to the fault description instruction and a fault troubleshooting guide link corresponding to the fault type.
Step S03: and transmitting the fault troubleshooting guide information based on the fault troubleshooting guide link.
Step S04: and receiving feedback information of the fault troubleshooting guide information, and confirming a fault reason based on the feedback information.
In the embodiment of the present invention, step S01 may be to receive a fault description instruction based on a voice or key input interaction manner, and as an example, when the fault description instruction is received based on a voice interaction manner, the voice type fault description instruction may be converted into a text type fault description instruction by using a voice recognition technology, and then the text type fault description instruction is transmitted to a natural language processing server, so that the text type fault description instruction is analyzed by using the natural language processing server.
In step S02, the fault type corresponding to the fault description instruction and the fault troubleshooting guide link corresponding to the fault type may be determined based on the knowledge graph by using the instruction information analyzed by the natural language processing server.
The determining of the fault type corresponding to the fault description instruction may be based on a knowledge graph, and the fault type is directly determined according to the fault description instruction; the fault type query information corresponding to the fault description instruction may be sent based on the knowledge graph, so as to determine the fault type corresponding to the fault description instruction based on the reply of the user to the fault type query information.
Referring to fig. 2, fig. 2 shows a schematic diagram of a knowledge graph provided by an embodiment of the present invention, and as a specific example, when the fault type is directly determined according to the fault description instruction, that is, when the instruction information analyzed by using the natural language processing server includes a keyword "no refrigeration", the fault type corresponding to the fault description instruction is directly determined to be "no refrigeration" by searching in the knowledge graph. As another specific example, based on the knowledge graph, fault type inquiry information corresponding to the fault description instruction is sent, so that based on a response of a user to the fault type inquiry information, when the fault type corresponding to the fault description instruction is determined to be bad by the keyword air conditioner included in the instruction information analyzed by the natural language processing server, three fault types corresponding to the fault description instruction can be obtained based on the knowledge graph, and based on the response of the user to the fault type inquiry information, fault type inquiry information containing whether the air conditioner is noisy, not refrigerating or leaking is sent to the user in a voice inquiry mode, and then the fault type corresponding to the fault description instruction is determined. And the fault type inquiry is carried out based on the knowledge graph and the knowledge graph, so that the efficiency of fault investigation is improved.
In the embodiment of the invention, a knowledge graph can be constructed based on the fault types of the equipment, wherein each fault type can correspond to a plurality of fault troubleshooting guide links, and each fault troubleshooting guide link can comprise at least one fault reason node. Referring to fig. 2, the "noise of air conditioner" of the fault type corresponds to two fault investigation guiding links, one of which corresponds to "noise of external machine", the other corresponds to "noise of internal machine", and two fault cause nodes, namely "asynchronous motor" and "cross wind", are also corresponding under the fault investigation guiding link corresponding to "noise of internal machine".
In step S03, as an example, when there is only one troubleshooting guide link, troubleshooting guide information may be transmitted based on the troubleshooting cause node on the troubleshooting guide link in the knowledge graph.
As another example, when the failure type corresponds to the plurality of failure troubleshooting guide links, the failure troubleshooting guide information may be sent based on one of the plurality of failure troubleshooting guide links corresponding to the failure type selected at random. According to the method, the user is guided to conduct fault investigation based on the knowledge graph, and convenience in fault investigation can be achieved.
As another example, when the failure type corresponds to a plurality of failure troubleshooting guide links, it may also be: querying historical fault statistics; according to the historical fault statistics data, the fault detection guide links corresponding to the fault detection guide links with the largest fault times based on the fault types are selected, and the fault detection guide information is sent. The failure detection guide link with the largest failure frequency is used for sending the failure detection guide information, so that the failure detection efficiency is further improved.
In addition, when the failure troubleshooting guide link includes a failure cause node sub-level, based on the failure troubleshooting guide link, failure troubleshooting guide information is sent, wherein the failure troubleshooting guide information includes: the inquiry information for directing to confirm the troubleshooting directing link and the inquiry information for directing to confirm the cause of the failure. As a specific example, referring to fig. 2, on a fault detection guide link corresponding to "noise of an internal machine", including a fault cause node "asynchronous motor" and "through-flow wind page", based on the fault detection guide link, the sending of the fault detection guide information may be: the method comprises the steps of sending inquiry information which is used for guiding and confirming a fault checking guiding link and has the content of 'whether an internal machine has noise', continuously sending inquiry information which is used for guiding and confirming the cause of the fault and has the content of 'whether the internal machine has noise' when receiving feedback information which is 'yes', and confirming that the cause of the fault is 'asynchronous motor' when receiving the feedback information which is 'yes', and ending the fault checking guiding; when the feedback information is received as ' not ', the inquiry information of whether the content is a cross-flow fan page ' can be continuously sent so as to guide the user to confirm the failure cause based on the knowledge graph.
When the troubleshooting guide link only comprises one failure cause node level, the troubleshooting guide link is based on the troubleshooting guide link, namely, the troubleshooting guide information is sent to guide and confirm the inquiry information of the troubleshooting guide link based on the failure cause in the failure cause node level. As a specific example, referring to fig. 2, the "external noise" troubleshooting guide link includes only one node level of the cause of the failure, and then the "whether the external noise" is the troubleshooting guide link inquiry information is sent, and when the feedback information is received as "yes", then the cause of the failure is confirmed to be "noise of the external machine", and the troubleshooting guide is finished.
In the embodiment of the invention, the troubleshooting guide information can be sent in a voice broadcasting mode, can be sent in a display screen display mode, and can be sent to the user in other modes, which are not limited in detail.
In the embodiment of the present invention, as an example, step S04 may specifically be that when there is only one failure detection guiding link corresponding to the failure type, feedback information of the failure detection guiding information is received, and when the feedback information indicates that the failure cause is confirmed, the failure detection guiding is ended, and the failure cause is determined; when the issuing information indicates that the cause of the fault cannot be confirmed, the fault type can be reconfirmed.
As another example, step S04 may be specifically that, when the failure type corresponds to a plurality of failure troubleshooting guide links, feedback information of the failure troubleshooting guide information indicating that the failure cause is confirmed is received, and the failure troubleshooting guide is ended; when the feedback information indicates that the failure cause cannot be confirmed, the failure cause is confirmed by replacing the failure cause with other failure troubleshooting guide links corresponding to the failure type and sending the failure troubleshooting guide information.
In step S04, feedback information of the troubleshooting guide information is received, and when the feedback information indicates that the cause of the fault is confirmed, the fault confirmation method further includes: recording a fault troubleshooting guide link corresponding to the fault reason, and updating the fault times of the fault troubleshooting guide link in the historical fault statistical data. Further, the recommendation of the fault diagnosis guiding link can be performed according to the updated historical fault statistics data, so that the efficiency of fault diagnosis is improved.
The above method for confirming a fault provided by the embodiment of the invention receives the fault description instruction, determines the fault type corresponding to the fault description instruction and the fault troubleshooting guide link corresponding to the fault type based on the knowledge graph, sends the fault troubleshooting guide information based on the fault troubleshooting guide link, and finishes the fault troubleshooting guide when the feedback information indicates to confirm the cause of the fault by receiving the feedback information of the fault troubleshooting guide information; when the feedback information indicates that the fault cause cannot be confirmed, the fault cause can be confirmed by replacing the fault cause information with other fault troubleshooting guide links corresponding to the fault type and sending the fault troubleshooting guide information. According to the method, based on the knowledge graph, by sending the fault type inquiry information corresponding to the fault description instruction and sending the fault troubleshooting guide information, the accurate guide for troubleshooting the user is realized based on the reply of the user to the fault type inquiry information and the feedback information of the fault troubleshooting guide information, the efficiency of fault troubleshooting is greatly improved, and the use experience of the user is improved.
In the following embodiment two, a specific embodiment using the fault confirmation method provided by the embodiment of the present invention will be described in detail.
Example two
Referring to fig. 2 and fig. 3, fig. 3 shows a schematic flow chart of a fault confirmation method according to an embodiment of the present invention, which includes:
step S11: the user inputs a fault description instruction "the air conditioner is bad" by voice.
Step S12: and the equipment terminal receives the fault description instruction, analyzes the fault description instruction and then uploads the fault description instruction to the knowledge graph server.
Step S13: based on the knowledge graph, the knowledge graph server sends the content of "is the air conditioner noisy, not refrigeration, or water leakage? "fault type query information.
Step S14: the user replies to the fault type query.
Step S15: and receiving a reply of the user to the fault type inquiry information, and when the reply of the user is 'uncooled', determining that the fault type corresponding to the fault description instruction is 'uncooled', and determining two fault troubleshooting guide links, namely 'not started' and 'started', corresponding to the 'uncooled' fault type by the knowledge graph server.
Step S16: and the knowledge graph server randomly selects one of the fault investigation guiding links, and when the selected fault investigation guiding link is turned on, the knowledge graph server sends the fault investigation guiding link confirmation information of whether the content is turned on or not.
Step S17: the user replies to the troubleshooting guideline link acknowledgement.
Step S18: and receiving a reply of the user to the fault diagnosis guide link confirmation information, wherein when the reply of the user is 'started', the knowledge graph server randomly selects a 'cooling mode' fault original factor node from fault original factor nodes corresponding to the 'started' fault diagnosis guide link, and sends inquiry information 'cooling mode' for guiding and confirming a fault reason to the user based on the fault original factor node.
Step S19: the user replies to the inquiry information directing to confirm the cause of the failure.
Step S20: receiving a reply of a user to inquiry information for guiding and confirming fault reasons, and ending the fault checking guiding when the reply of the user is yes; when the answer of the user is 'no', the knowledge graph server randomly selects one fault reason child node from 'insufficient temperature' and 'insufficient refrigerant', continuously sends inquiry information for guiding and confirming the fault reason based on the selected fault reason child node, and receives the answer of the user on the inquiry information for guiding and confirming the fault reason until the fault reason is confirmed.
In step S20, specifically, when the knowledge graph server randomly selects a failure source factor node of "insufficient temperature" from "insufficient temperature" and "insufficient refrigerant", it sends failure cause inquiry information of "whether insufficient temperature" to the user, and when the answer of the user is yes, it confirms the failure cause, and the failure check guide is finished; when the answer of the user is 'not yes', the knowledge graph is based on the 'refrigerant shortage' of the fault reason child node, and the 'refrigerant shortage' of the fault reason can be sent to the user, and the fault investigation is finished.
The fault confirmation method provided by the embodiment of the invention guides the user to conduct fault detection based on the constructed knowledge graph, realizes accurate guide of the user to conduct fault detection, and is beneficial to improving the efficiency of fault detection and the use experience of the user.
Example III
Referring to fig. 4, fig. 4 shows a schematic structural diagram of a fault confirmation device according to an embodiment of the present invention, which includes:
An instruction receiving module 401 for receiving a fault description instruction.
The fault analysis module 402 is configured to determine, based on the knowledge graph, a fault type corresponding to the fault description instruction and a fault troubleshooting guide link corresponding to the fault type.
And the troubleshooting guide module 403 is used for sending the troubleshooting guide information based on the troubleshooting guide link.
The fault confirming module 404 is configured to receive feedback information of the fault troubleshooting guide information, and confirm a cause of the fault based on the feedback information.
In another aspect of the present invention, there is also provided a storage medium having stored therein a computer program capable of implementing the fault confirmation method according to the first or second embodiments when executed by a processor.
In another aspect of the present invention, there is also provided an electronic device, including a processor and a memory, where the memory stores a computer program, and the processor is capable of implementing the fault confirmation method according to the first or second embodiment when executing the computer program stored in the memory.
In another aspect of the present invention, an air conditioner is further provided, and referring to fig. 5, fig. 5 shows a schematic structural diagram of the air conditioner provided in the embodiment of the present invention, where the air conditioner includes an air conditioner body 501, a processor 502, and a memory 503, and the memory 503 stores a computer program, and when the processor 502 executes the computer program in the memory 503, the fault confirmation method described in the first embodiment or the second embodiment can be implemented.
In addition, the air conditioner may further be provided with a voice recognition device 504 and a voice broadcasting device 505, so as to receive a fault description instruction sent by a user through a voice mode, and send fault troubleshooting guide information through a voice broadcasting mode, thereby greatly improving the convenience of interaction between the air conditioner and the user.
It should be noted that, the fault confirmation method provided by the embodiment of the invention not only can be applied to an air conditioner, but also can be applied to other electronic devices meeting the conditions.
Although the embodiments of the present invention are disclosed above, the embodiments are only used for the convenience of understanding the present invention, and are not intended to limit the present invention. Any person skilled in the art can make any modification and variation in form and detail without departing from the spirit and scope of the present disclosure, but the scope of the present disclosure is still subject to the scope of the present disclosure as defined by the appended claims.
Claims (10)
1. A method of fault verification comprising:
receiving a fault description instruction;
determining a fault type corresponding to the fault description instruction and a fault troubleshooting guide link corresponding to the fault type based on a knowledge graph;
Transmitting the fault troubleshooting guide information based on the fault troubleshooting guide link;
Receiving feedback information of the troubleshooting guide information under the condition that the fault type corresponds to a plurality of troubleshooting guide links, and confirming a fault reason based on the feedback information, wherein the method comprises the following steps: receiving feedback information of the fault troubleshooting guide information, and ending the fault troubleshooting guide when the feedback information indicates that the cause of the fault is confirmed; when the feedback information indicates that the fault cause cannot be confirmed, the fault cause is replaced by other fault troubleshooting guide links corresponding to the fault type, and the fault troubleshooting guide information is sent to confirm the fault cause, wherein when the fault troubleshooting guide links correspond to a plurality of fault source factor nodes, the fault cause confirmation according to the feedback information comprises: and randomly selecting one fault source factor node, receiving feedback information of the fault source factor node, and selecting other fault source child nodes until the fault source is confirmed under the condition that the fault source cannot be confirmed according to the feedback information.
2. The method of claim 1, wherein determining, based on a knowledge graph, a fault type corresponding to the fault description instruction and a troubleshooting guidance link corresponding to the fault type comprises:
Based on a knowledge graph, sending fault type inquiry information corresponding to the fault description instruction, and based on a response of a user to the fault type inquiry information, determining a fault type corresponding to the fault description instruction and a fault troubleshooting guide link corresponding to the fault type.
3. The method of claim 2, wherein the failure type corresponds to a plurality of the troubleshooting guidance links, and wherein transmitting troubleshooting guidance information based on the troubleshooting guidance links comprises:
and randomly selecting one of a plurality of fault troubleshooting guide links corresponding to the fault type, and sending fault troubleshooting guide information based on the fault troubleshooting guide link.
4. The method of claim 2, wherein the failure type corresponds to a plurality of the troubleshooting guidance links, and wherein transmitting troubleshooting guidance information based on the troubleshooting guidance links comprises:
Querying historical fault statistics;
and selecting the fault diagnosis guide link which corresponds to the fault type and has the largest fault frequency according to the fault frequency corresponding to each fault diagnosis guide link in the historical fault statistic data, and sending the fault diagnosis guide information.
5. The method of claim 1, wherein receiving feedback information for the troubleshooting guidance information, the troubleshooting method further comprising, when the feedback information indicates that a cause of the fault is confirmed: and recording the fault investigation guiding link corresponding to the fault reason, and updating the fault times of the fault investigation guiding link in the historical fault statistical data.
6. The method of claim 1, wherein the sending troubleshooting guidance information comprises: and sending the fault troubleshooting guide information in a voice broadcasting mode.
7. A failure confirmation device, characterized by comprising:
The instruction receiving module is used for receiving the fault description instruction;
The fault analysis module is used for determining a fault type corresponding to the fault description instruction and a fault troubleshooting guide link corresponding to the fault type based on the knowledge graph;
the troubleshooting guide module is used for sending troubleshooting guide information based on the troubleshooting guide link;
The fault confirming module is used for receiving feedback information of the fault troubleshooting guide information, confirms a fault reason based on the feedback information and comprises the following components: receiving feedback information of the fault troubleshooting guide information, and ending the fault troubleshooting guide when the feedback information indicates that the cause of the fault is confirmed; when the feedback information indicates that the fault cause cannot be confirmed, the fault cause is replaced by other fault troubleshooting guide links corresponding to the fault type, and the fault troubleshooting guide information is sent to confirm the fault cause, wherein when the fault troubleshooting guide links correspond to a plurality of fault source factor nodes, the fault cause confirmation according to the feedback information comprises: and randomly selecting one fault source factor node, receiving feedback information of the fault source factor node, and selecting other fault source child nodes until the fault source is confirmed under the condition that the fault source cannot be confirmed according to the feedback information.
8. A storage medium having stored therein a computer program which, when executed by a processor, is capable of implementing the fault confirmation method of any one of claims 1 to 6.
9. An electronic device comprising a processor and a memory, wherein the memory has stored therein a computer program, and wherein the processor is capable of implementing the fault confirmation method according to any one of claims 1 to 6 when executing the computer program stored in the memory.
10. An air conditioner, comprising an air conditioner body, a processor and a memory, wherein the memory stores a computer program, and the processor can implement the fault confirmation method according to any one of claims 1 to 6 when executing the computer program stored in the memory.
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| CN112393376A (en) * | 2020-11-06 | 2021-02-23 | 北京小米移动软件有限公司 | Intelligent household equipment fault processing method and device and storage medium |
| CN112434831A (en) * | 2020-12-08 | 2021-03-02 | 中国建设银行股份有限公司 | Troubleshooting method and device, storage medium and computer equipment |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111414477A (en) * | 2020-03-11 | 2020-07-14 | 科大讯飞股份有限公司 | Vehicle fault automatic diagnosis method, device and equipment |
| CN111435366A (en) * | 2019-01-14 | 2020-07-21 | 阿里巴巴集团控股有限公司 | Equipment fault diagnosis method and device and electronic equipment |
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|---|---|---|---|---|
| CN111435366A (en) * | 2019-01-14 | 2020-07-21 | 阿里巴巴集团控股有限公司 | Equipment fault diagnosis method and device and electronic equipment |
| CN111414477A (en) * | 2020-03-11 | 2020-07-14 | 科大讯飞股份有限公司 | Vehicle fault automatic diagnosis method, device and equipment |
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