CN113839825A - Equipment fault detection method, system, device, computer equipment and storage medium - Google Patents

Equipment fault detection method, system, device, computer equipment and storage medium Download PDF

Info

Publication number
CN113839825A
CN113839825A CN202010578333.8A CN202010578333A CN113839825A CN 113839825 A CN113839825 A CN 113839825A CN 202010578333 A CN202010578333 A CN 202010578333A CN 113839825 A CN113839825 A CN 113839825A
Authority
CN
China
Prior art keywords
fault
self
information
detection instruction
detection
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010578333.8A
Other languages
Chinese (zh)
Other versions
CN113839825B (en
Inventor
唐念行
王晔
黄橙
赵飞
李敏知
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qingdao Haier Smart Technology R&D Co Ltd
Qingdao Haier Technology Co Ltd
Haier Smart Home Co Ltd
Original Assignee
Qingdao Haier Smart Technology R&D Co Ltd
Haier Smart Home Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qingdao Haier Smart Technology R&D Co Ltd, Haier Smart Home Co Ltd filed Critical Qingdao Haier Smart Technology R&D Co Ltd
Priority to CN202010578333.8A priority Critical patent/CN113839825B/en
Publication of CN113839825A publication Critical patent/CN113839825A/en
Application granted granted Critical
Publication of CN113839825B publication Critical patent/CN113839825B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/50—Testing arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/06—Generation of reports
    • H04L43/065—Generation of reports related to network devices
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0823—Errors, e.g. transmission errors
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/16—Threshold monitoring

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Telephonic Communication Services (AREA)

Abstract

The application relates to a method, a system, a computer device and a storage medium for detecting device faults, wherein the method comprises the following steps: acquiring historical fault information of the intelligent networking equipment according to a fault detection instruction sent by a user terminal, generating a self-detection instruction according to the historical fault information, sending the self-detection instruction to the intelligent networking equipment, receiving the current fault information sent by the intelligent networking equipment, generating a fault analysis report according to the current fault information, and sending the fault analysis report to the user terminal; the method can remotely detect the fault problem of the intelligent networking equipment in real time to obtain the current fault information, and can acquire the fault analysis report through the current fault information, and the fault problem of the intelligent networking equipment can be rapidly detected through the set of remote online fault detection technology, so that the fault detection efficiency is improved.

Description

Equipment fault detection method, system, device, computer equipment and storage medium
Technical Field
The present application relates to the field of fault detection technology for intelligent networking devices, and in particular, to a method, a system, an apparatus, a computer device, and a storage medium for detecting a device fault.
Background
With the wide application of computer technology in the field of intelligent equipment, the functions of the intelligent equipment control system are continuously perfected, and the automatic control functions are more and more abundant. The intelligent equipment mostly utilizes the technology of the internet of things so as to automatically control and operate the intelligent equipment through a network.
However, the smart device may also fail during the use process, and when the smart device fails, a manual detection method is usually used to determine the cause of the failure, and corresponding measures are taken according to the cause of the failure to solve the failure problem. However, the conventional failure detection method results in low failure detection efficiency.
Disclosure of Invention
In view of the above, it is desirable to provide a device failure detection method, system, computer device, and storage medium capable of improving failure detection efficiency.
In a first aspect, a method for device fault detection, the method comprising:
acquiring historical fault information of the intelligent networking equipment according to a fault detection instruction sent by a user terminal;
generating a self-detection instruction according to the historical fault information, and sending the self-detection instruction to the intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to perform fault detection;
receiving the fault information sent by the intelligent networking equipment;
and generating a fault analysis report according to the fault information, and sending the fault analysis report to the user terminal.
In one embodiment, the method further comprises:
receiving usage record information; wherein the usage record information includes: the current use record information and the historical use record information;
generating a fault analysis report according to the current fault information, wherein the fault analysis report comprises the following steps:
and generating the fault analysis report according to the use record information and the current fault information.
In one embodiment, the generating the fault analysis report according to the usage record information and the current fault information includes:
analyzing the use record information and the current fault information to determine fault solving information;
and generating the fault analysis report according to the use record information, the current fault information and the fault solution information.
In one embodiment, the fault detection instructions include an identification of the intelligent networking device; the acquiring of the historical fault information of the intelligent networking device according to the fault detection instruction sent by the user terminal comprises the following steps:
matching the identification of the intelligent networking equipment with a preset identification in a preset fault information base to obtain a target identification successfully matched with the identification of the intelligent networking equipment;
and acquiring historical fault information corresponding to the target identification from the preset fault information base.
In one embodiment, the generating a self-detection instruction according to the historical fault information includes:
acquiring a first type of fault of the intelligent networking equipment from the historical fault information; wherein the occurrence frequency of the first type of fault is greater than a preset frequency threshold;
and generating a corresponding first self-detection instruction according to the first type fault.
In one embodiment, the generating a self-test instruction according to the historical fault information further includes:
acquiring a second type of fault of the intelligent networking equipment from the historical fault information; wherein the frequency of occurrence of the first type of fault is less than or equal to the preset frequency threshold;
generating a corresponding second self-detection instruction according to the second type fault;
the sending the self-detection instruction to the intelligent networking device comprises:
and if the intelligent networking equipment completes fault detection according to the first self-detection instruction, sending the second self-detection instruction to the intelligent networking equipment.
In a second aspect, a method of device fault detection, the method comprising:
receiving a self-detection instruction sent by a cloud server; the self-detection instruction is an instruction generated by the cloud server according to historical fault information of the intelligent networking equipment;
responding to the self-detection instruction to carry out fault detection and generating current fault information;
and sending the current fault information to the cloud server so that the cloud server generates a fault analysis report according to the current fault information and sends the fault analysis report to a user terminal.
In one embodiment, the receiving a self-detection instruction sent by a cloud server includes:
receiving a first self-detection instruction sent by the cloud server; the first self-detection instruction is a self-detection instruction generated according to fault information of a first type fault, and the occurrence frequency of the first type fault is greater than a preset frequency threshold.
In one embodiment, the receiving a self-detection instruction sent by a cloud server further includes:
receiving a second self-detection instruction sent by the cloud server; the second self-detection instruction is a self-detection instruction generated according to fault information of a second type of fault, and the occurrence frequency of the second type of fault is smaller than or equal to a preset frequency threshold.
In a third aspect, a device failure detection system, the system comprising: the system comprises a user terminal, intelligent networking equipment and a cloud server; wherein the content of the first and second substances,
the cloud server is configured to perform the method of any of the first aspect above;
the intelligent networking device is configured to perform the method of any of the second aspects above.
In a fourth aspect, a computer device includes a memory and a processor, the memory storing a computer program, wherein the processor implements the following steps when executing the computer program:
acquiring historical fault information of the intelligent networking equipment according to a fault detection instruction sent by a user terminal;
generating a self-detection instruction according to the historical fault information, and sending the self-detection instruction to the intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to perform fault detection;
receiving the fault information sent by the intelligent networking equipment;
generating a fault analysis report according to the fault information, and sending the fault analysis report to the user terminal; or
Receiving a self-detection instruction sent by a cloud server; the self-detection instruction is an instruction generated by the cloud server according to historical fault information of the intelligent networking equipment;
responding to the self-detection instruction to carry out fault detection and generating current fault information;
and sending the current fault information to the cloud server so that the cloud server generates a fault analysis report according to the current fault information and sends the fault analysis report to a user terminal.
In a fifth aspect, a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of:
acquiring historical fault information of the intelligent networking equipment according to a fault detection instruction sent by a user terminal;
generating a self-detection instruction according to the historical fault information, and sending the self-detection instruction to the intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to perform fault detection;
receiving the fault information sent by the intelligent networking equipment;
generating a fault analysis report according to the fault information, and sending the fault analysis report to the user terminal; or
Receiving a self-detection instruction sent by a cloud server; the self-detection instruction is an instruction generated by the cloud server according to historical fault information of the intelligent networking equipment;
responding to the self-detection instruction to carry out fault detection and generating current fault information;
and sending the current fault information to the cloud server so that the cloud server generates a fault analysis report according to the current fault information and sends the fault analysis report to a user terminal.
According to the equipment fault detection method, the system, the computer equipment and the storage medium, historical fault information of the intelligent networking equipment is obtained according to a fault detection instruction sent by a user terminal, a self-detection instruction is generated according to the historical fault information and sent to the intelligent networking equipment, the current fault information sent by the intelligent networking equipment is received, a fault analysis report is generated according to the current fault information, and the fault analysis report is sent to the user terminal; the method can remotely detect the fault problem of the intelligent networking equipment in real time to obtain the current fault information, and can acquire the fault analysis report through the current fault information, and the fault problem of the intelligent networking equipment can be rapidly detected through the set of remote online fault detection technology, so that the fault detection efficiency is improved.
Drawings
Fig. 1 is a diagram illustrating an application scenario of an apparatus failure detection system according to an embodiment;
FIG. 2 is a schematic flow chart diagram illustrating a method for device fault detection, according to an embodiment;
FIG. 3 is a diagram of a display interface for fault detection and neutralization of fault detection results provided by another embodiment;
FIG. 4 is a flowchart illustrating a specific method for obtaining historical failure information of an intelligent networked device according to another embodiment;
FIG. 5 is a flowchart illustrating a specific method for generating a self-test instruction according to another embodiment;
FIG. 6 is a schematic flow chart diagram illustrating another method for device fault detection according to another embodiment;
FIG. 7 is a schematic block diagram of an apparatus failure detection system according to an embodiment;
FIG. 8 is a schematic structural diagram of an apparatus failure detection apparatus according to an embodiment;
fig. 9 is a schematic structural diagram of an apparatus fault detection apparatus according to another embodiment;
FIG. 10 is a diagram illustrating an internal structure of a computer device, according to an embodiment;
FIG. 11 is a schematic diagram of an internal architecture of an intelligent networked device, according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The device fault detection method provided by the embodiment can be applied to an application scenario diagram of the device fault detection system shown in fig. 1. The system comprises intelligent networking equipment, a user terminal and a cloud server. The intelligent networking equipment, the user terminal and the cloud server can be communicated through wireless connection; the wireless connection may be Wi-Fi, mobile network or bluetooth connection, etc. Optionally, the user terminal may be an electronic device capable of installing an application, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, or a personal digital assistant. Optionally, the intelligent networking device may be a networking intelligent device, such as an intelligent home device, and the intelligent home device may be an intelligent wardrobe, an intelligent television, an intelligent washing machine, and the like.
In this embodiment, the user terminal may install a fault detection application corresponding to the intelligent networking device; the user clicks a fault detection function button to start a fault detection application program, then the user terminal sends a fault detection instruction to the cloud server, and the cloud server performs fault detection on the intelligent networking equipment after receiving the fault detection instruction so as to obtain a fault analysis report. The specific procedure of the device failure detection method will be specifically described in the following embodiments. In this embodiment, the execution subject for implementing the device fault detection method may be a cloud server and an intelligent networking device, and a specific process of the device fault detection method will be described in the following embodiments.
Fig. 2 is a schematic flowchart of an apparatus fault detection method according to an embodiment. An execution main body of the device fault detection method provided by the embodiment can be a cloud server, and the embodiment relates to a process of how to perform fault diagnosis on intelligent networking devices and obtain fault analysis reports. As shown in fig. 2, the method may be implemented by:
and S1000, acquiring historical fault information of the intelligent networking equipment according to the fault detection instruction sent by the user terminal.
Specifically, the user can input a fault detection instruction of the intelligent networking device to a user terminal in the device fault detection system, and then the user terminal sends the received fault detection instruction to the cloud server. Optionally, the mode of inputting the fault detection instruction by the user may be manually clicking a fault detection function button, or may be a voice input mode. Optionally, the fault detection instruction may include detection instructions corresponding to different types of faults and identifications of the intelligent networking devices. In this embodiment, the fault detection instruction may include a common fault detection instruction corresponding to a common fault of the intelligent networking device, may also include an unusual fault detection instruction corresponding to an unusual fault of the intelligent networking device, and of course, may also include an abnormal operation fault detection instruction corresponding to an abnormal operation fault of the intelligent networking device; the fault detection instruction may also be a one-key all fault detection instruction or a specific fault detection instruction. For example, if the intelligent networking device is a washing machine, the common fault detection instruction may be a water injection fault detection instruction, a washing fault detection instruction, a dehydration fault detection instruction, a spin-drying fault detection instruction, and the like of the washing machine, and the abnormal operation fault detection instruction may be an abnormal rotation speed operation fault detection instruction of a motor of the washing machine, and the like.
It should be noted that, after receiving a fault detection instruction sent by a user terminal, the cloud server may obtain historical fault information of corresponding intelligent networking devices according to fault detection instructions corresponding to different intelligent networking devices. The historical fault information may include fault types corresponding to faults occurring in the intelligent networking device before the current time, and occurrence frequencies corresponding to different types of faults occurring before the current time; in addition, the historical fault information can also be understood to include abnormal operation fault information and common fault information of the intelligent networking equipment occurring before the current moment. If the intelligent networking equipment is a washing machine, the fault type of the washing machine can be a water injection fault, a washing fault, a dehydration fault, a spin-drying fault and the like.
S2000, generating a self-detection instruction according to the historical fault information, and sending the self-detection instruction to the intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to carry out fault detection.
Specifically, the cloud server can acquire common fault information in the historical fault information, generate a self-detection instruction of the common fault according to the common fault information, and send the self-detection instruction to the intelligent networking equipment, so that the intelligent networking equipment can respond to the self-detection instruction; the cloud server can also acquire abnormal operation fault information in the historical fault information, generate a self-detection instruction of the abnormal operation fault according to the abnormal operation fault information, and send the self-detection instruction to the intelligent networking equipment, so that the intelligent networking equipment responds to the self-detection instruction. Optionally, the self-detection instruction may be understood as an operation program starting instruction corresponding to normal operation that the intelligent networking device has; the self-test instruction may include a test command for one fault type, and may also include test commands for multiple fault types.
And S3000, receiving the current fault information sent by the intelligent networking equipment.
Specifically, the cloud server can start fault detection after receiving the self-detection instruction of the intelligent networking device response, and generate the fault information. Optionally, the current fault information may be represented as fault information corresponding to a fault problem occurring when the operation program of the intelligent networking device is detected; the fault information may include a fault type corresponding to a fault problem occurring when the operation program of the intelligent networking device is detected, an occurrence frequency corresponding to a fault of the type, and a detection parameter. Generally, the occurrence frequency corresponding to the fault information of this time may be equal to 1.
For example, if the self-detection instruction is a water injection fault self-detection instruction of the washing machine, after receiving the water injection fault self-detection instruction, the washing machine starts a water injection operation program, and if the water injection operation is abnormally operated, the washing machine may send water injection abnormal fault information corresponding to the water injection abnormal operation to the cloud server. In addition, if the water injection operation is abnormal, the intelligent networking equipment is communicated with the user terminal, and the result of the abnormal water injection operation can be sent to the user terminal for display so that a user can check the result in time; one of the display results can be shown in fig. 3, where the left side of fig. 3 is a detection interface diagram during water filling operation detection, and the right side of fig. 3 is a detection result interface diagram after water filling operation detection is finished.
And step S4000, generating a fault analysis report according to the current fault information, and sending the fault analysis report to the user terminal.
Specifically, the cloud server can arrange the fault information into a fault analysis report, and sends the fault analysis report to the user terminal, so that the fault analysis report is output and displayed to the user through the user terminal, and the user can know the fault condition of the intelligent networking device in real time. Optionally, the mode of outputting the fault analysis report by the user terminal may be a mode of displaying a view text, a mode of voice broadcasting, or a mode of playing a video.
The equipment fault detection method can acquire historical fault information of the intelligent networking equipment according to a fault detection instruction sent by the user terminal, generate a self-detection instruction according to the historical fault information, send the self-detection instruction to the intelligent networking equipment, receive the current fault information sent by the intelligent networking equipment, generate a fault analysis report according to the current fault information, and send the fault analysis report to the user terminal; the method can remotely detect the fault problem of the intelligent networking equipment in real time to obtain the current fault information, and can acquire the fault analysis report through the current fault information, and the fault problem of the intelligent networking equipment can be rapidly detected through the set of remote online fault detection technology, so that the fault detection efficiency is improved.
As one embodiment, before step S4000, the method for detecting the device failure may further include: receiving usage record information, wherein the usage record information comprises: the usage record information and the historical usage record information.
Specifically, the cloud server may receive the usage record information and store the usage record information in a usage information repository of the intelligent networked device. The usage information may include common operation programs, usage habit information, total resource consumption amount, and the like of the intelligent networking device; in addition, the usage record information may include the current usage record information acquired after the current intelligent networking device performs fault detection, and the historical usage record information of the intelligent networking device acquired before the current fault detection. The using record information can be the using habit information and the total resource consumption of the washing machine in the process of executing the self-detection instruction by the washing machine; the using habit information can be name information of the detergent used by the washing machine, the online time of the operation process of the washing machine, and the water consumption and the power consumption of the washing machine.
In this embodiment, after each fault detection is performed on the intelligent networking device, the use information of the intelligent networking device can be automatically stored in a use information base stored by the cloud server; the historical usage record information in the usage information base may be understood as cumulative record information.
For example, if the intelligent networked device is a washing machine, the common operation program of the washing machine may be an air washing and washing-drying integrated operation program; the using habit information of the washing machine can comprise information that the common detergent is blue moon, wonderful and the like, and can also comprise information of the general online time of the washing machine and the like; the total resource consumption amount of the washing machine may include a total water consumption amount and a total power consumption amount corresponding to one time the washing machine is used.
In this embodiment, after fault detection is performed on the intelligent networking device each time, the cloud server can store the current usage record information to the usage information base, which is equivalent to updating the usage information base stored last time.
The process of generating the fault analysis report according to the current fault information in step S4000 may include: and generating a fault analysis report according to the use record information and the current fault information.
Specifically, the cloud server can arrange the fault information and the use record information into a fault analysis report in a classified list mode, and sends the fault analysis report to the user terminal, so that the fault analysis report is output and displayed to the user through the user terminal, and the user can know the fault condition of the intelligent networking device in real time. Optionally, the mode of outputting the fault analysis report by the user terminal may be a mode of displaying a view text, a mode of voice broadcasting, or a mode of playing a video.
Further, the process of generating the fault analysis report according to the usage record information and the current fault information may specifically include: analyzing the use record information and the current fault information to determine fault solution information; and generating a fault analysis report according to the use record information, the current fault information and the fault solution information.
It can be understood that the cloud server can analyze the current fault information and the usage record information in the fault analysis report, and obtain a set of rationalized fault solutions through logical calculation, so as to obtain fault solution information in the fault solutions; and then, the cloud server can arrange the use record information, the current fault information and the fault solution information into a fault analysis report in a classified list mode, and send the fault analysis report to the user terminal, and the user terminal can display the fault analysis report in forms of view characters, video playing, voice broadcasting and the like so that a user can master the fault state of the intelligent networking equipment in real time.
The equipment fault detection method can receive the use record information which comprises the current use record information and the historical use record information, generate a fault analysis report according to the use record information and the current fault information, then send the fault analysis report to the user terminal, and output the fault analysis report through the user terminal, so that a user can master the fault state and the use record information of the intelligent networking equipment in real time, can take corresponding measures in time to solve the fault problem of the intelligent networking equipment, and can master the use record information of the intelligent networking equipment in real time to control the resource consumption of the user, and can change the abnormal use habit of the intelligent networking equipment in time, so that resources are saved, the use cost is reduced, and the service life of the intelligent networking equipment is prolonged; meanwhile, the method can analyze the use record information and the current fault information, determine fault solution information, generate a fault analysis report according to the use record information, the current fault information and the fault solution information, and can acquire a rationalization suggestion for solving the current fault problem while a user can master the use record information and the current fault information of the intelligent networking equipment in real time, so that the user can solve the fault problem according to the rationalization suggestion, the fault solution efficiency is improved, and the influence on the normal use of the intelligent networking equipment is avoided.
As one embodiment, the fault detection instruction includes an identifier of the intelligent networking device; as shown in fig. 4, the process of acquiring the historical failure information of the intelligent networking device according to the failure detection instruction sent by the user terminal in step S1000 may specifically include the following steps:
and S1100, matching the identification of the intelligent networking equipment with a preset identification in a preset fault information base to obtain a target identification successfully matched with the identification of the intelligent networking equipment.
Specifically, the cloud server can match the identifier of the intelligent networking device contained in the fault detection instruction with a preset identifier in a preset fault information base to obtain a preset identifier successfully matched with the identifier of the intelligent networking device, and the preset identifier is used as a target identifier. The identification of the intelligent networking equipment can be understood as the identity information of the intelligent networking equipment; may be represented by a character string. Optionally, the preset fault information base may include historical fault information acquired before the intelligent networking device is detected to have a fault; and the preset fault information base can be stored in the cloud server. Optionally, the preset fault information base may include a preset identifier of the intelligent networking device and historical fault information of the intelligent networking device, and the preset identifier and the historical fault information have a mapping relationship.
Step S1200, obtaining historical fault information corresponding to the target identification from a preset fault information base.
Specifically, the cloud server may obtain historical fault information corresponding to the target identifier from a preset fault information base according to the obtained target identifier.
The equipment fault detection method can acquire historical fault information of the intelligent networking equipment, and then fault detection is sequentially carried out on the intelligent networking equipment according to the occurrence frequency of different types of faults in the historical fault information, so that the fault problem of the intelligent networking equipment can be quickly detected.
As shown in fig. 5, the process of generating the self-detection command according to the historical fault information in step S2000 may be implemented by the following steps:
step S2100, obtaining a first type fault of the intelligent networking device from the historical fault information. Wherein the occurrence frequency of the first type of fault is greater than a preset frequency threshold.
Specifically, the cloud server can acquire a first type of fault of the intelligent networking device from the historical fault information, and the occurrence frequency of the first type of fault is greater than a preset frequency threshold. In this embodiment, the first type of fault may be understood as a common fault occurring in the intelligent networking device before the fault detection is performed on the intelligent networking device this time. Alternatively, the preset frequency threshold may be understood as a critical occurrence frequency when the fault problem is determined to be a common fault and an unusual fault.
For example, if the intelligent networked device is a washing machine, the common faults may be water injection faults, washing faults, dehydration faults, spin-drying faults and the like of the washing machine; the occurrence frequency of the different types of faults of the washing machine may be a total occurrence frequency of the different types of faults of the washing machine before the current time.
Step S2200 is that a corresponding first self-detection instruction is generated according to the first type fault.
Specifically, the cloud server may generate a corresponding first self-detection instruction according to the first type of fault. If the first type fault is a dehydration fault of the washing machine, the first self-detection command may be a dehydration fault self-detection command.
In addition, with continued reference to fig. 5, the process of generating the self-detection instruction according to the historical failure information in step S2000 may also be implemented by the following steps:
and step S2300, acquiring the second type fault of the intelligent networking equipment from the historical fault information. Wherein the occurrence frequency of the first type of fault is less than or equal to a preset frequency threshold.
It should be noted that the cloud server may obtain a second type of fault of the intelligent networking device from the historical fault information, and the occurrence frequency of the second type of fault is less than or equal to the preset frequency threshold. In this embodiment, the second type of fault may be understood as an unusual fault or an abnormal operation fault occurring in the intelligent networking device before the fault detection is performed on the intelligent networking device this time.
Continuing with the previous example, if the common fault type is a washing fault of the washing machine, the normal operation corresponding to the washing fault may be a washing operation of the washing machine, and the operation starting program instruction corresponding to the normal operation may be a washing operation starting program instruction; if the common fault type is a dehydration fault of the washing machine, the normal operation corresponding to the dehydration fault can be the dehydration operation of the washing machine, and the operation starting program instruction corresponding to the normal operation can be a dehydration starting program instruction; normal running operation and corresponding startup running operation program instructions for other common faults are similar.
And S2400, generating a corresponding second self-detection instruction according to the second type fault.
It can be understood that the cloud server may generate a corresponding second self-detection instruction according to the second type of fault. If the second type of fault is a rotational speed operation fault of the washing machine, the second self-detection command may be a rotational speed operation fault self-detection command.
Further, the process of sending the self-detection instruction to the intelligent networking device in step S2000 may specifically include: and if the fault detection is determined to be completed according to the first self-detection instruction, sending the second self-detection instruction to the intelligent networking equipment.
In this embodiment, if the cloud server receives the current fault information sent after the intelligent networking device executes the first self-detection instruction, it can be determined that the intelligent networking device completes fault detection according to the first self-detection instruction, and at this time, the second self-detection instruction can be continuously sent to the intelligent networking device to execute fault detection. Or, if the intelligent networking equipment receives the first self-detection instruction and sends a response to the cloud server, the intelligent networking equipment is represented to finish fault detection according to the first self-detection instruction, and at the moment, the second self-detection instruction can be continuously sent to the intelligent networking equipment to execute fault detection.
According to the equipment fault detection method, the first type fault of the intelligent networking equipment can be obtained from the obtained historical fault information, the corresponding first self-detection instruction is generated according to the first type fault, the first self-detection instruction is the self-detection instruction corresponding to the common fault, the first self-detection instruction is sent to the intelligent networking equipment, and the intelligent networking equipment responds to the self-detection instruction, so that the automatic detection technology can be realized, and the problem that the common fault occurs in the intelligent networking equipment at this time can be quickly determined; furthermore, a second type fault of the intelligent networking equipment is obtained from the obtained historical fault information, a corresponding second self-detection instruction is generated according to the second type fault, the second self-detection instruction is sent to the intelligent networking equipment, and the intelligent networking equipment responds to the self-detection instruction, so that other fault problems which are not common faults can be quickly determined to occur in the intelligent networking equipment at this time, and the specific fault problems which occur in the intelligent networking equipment can be quickly detected through the classified fault detection.
Fig. 6 is a schematic flowchart of an apparatus fault detection method according to another embodiment. The execution subject of the device failure detection method provided by the embodiment can be an intelligent networking device. The equipment fault detection method can be realized by the following steps:
and step S6000, receiving a self-detection instruction sent by the cloud server, wherein the self-detection instruction is generated by the cloud server according to the historical fault information of the intelligent networking equipment.
Specifically, the intelligent networking device can receive a self-detection instruction generated by historical fault information of the cloud server intelligent networking device. Optionally, the self-detection instruction may be understood as an operation program starting instruction corresponding to normal operation that the intelligent networking device has.
And S7000, responding to the self-detection instruction to perform fault detection, and generating the current fault information.
Specifically, the intelligent networking device receives a self-detection instruction sent by the cloud server, responds to the self-detection instruction to perform fault detection, and generates the fault information. In addition, the intelligent networking equipment can also generate the use record information after responding to the self-detection instruction, and send the use record information to the cloud server.
It should be noted that the intelligent networking device may respond to the self-detection instruction to obtain the current detection parameter, compare the current detection parameter with the standard operation parameter corresponding to the current operation, and determine that the current operation has a fault problem if it is determined that the current detection parameter is greater than the standard operation parameter, thereby obtaining the current fault information of the current operation executed by the intelligent networking device. Optionally, when the self-detection instruction is a spin-drying fault self-detection instruction corresponding to the washing machine, the current operation may be determined as a spin-drying operation of the washing machine. When the dehydration operation of the washing machine is normally operated, there are corresponding standard operation parameters.
And S8000, sending the current fault information to a cloud server so that the cloud server generates a fault analysis report according to the current fault information and sends the fault analysis report to a user terminal.
Specifically, the intelligent networking equipment can send the acquired fault information to the cloud server, so that the cloud server arranges the fault information into a fault analysis report, sends the fault analysis report to the user terminal, and outputs the fault analysis report through the user terminal, so that a user can know the fault condition of the intelligent networking equipment in real time.
The equipment fault detection method can receive a self-detection instruction sent by the cloud server, respond to the self-detection instruction to generate current fault information, and send the current fault information to the cloud server, so that the cloud server generates a fault analysis report according to the current fault information and sends the fault analysis report to the user terminal; the method can enable the intelligent networking equipment to respond to the self-detection instruction, carry out fault detection to obtain a fault detection result, and output the fault detection result through the user terminal, thereby realizing an automatic detection technology, improving the fault detection efficiency, and simultaneously, a user can timely obtain the fault detection result, so that the user can timely solve the fault problem according to the fault detection result, and the normal use of the intelligent networking equipment is prevented from being influenced.
As an embodiment, the process of receiving the self-detection instruction sent by the cloud server in step S6000 may include the following steps: receiving a first self-detection instruction sent by a cloud server; the first self-detection instruction is a self-detection instruction generated according to fault information of the first type of fault, and the occurrence frequency of the first type of fault is greater than a preset frequency threshold.
Specifically, the intelligent networking device can receive a first self-detection instruction sent by the cloud server. Optionally, the cloud server may obtain a first type of fault of the intelligent networking device, and generate a corresponding first self-detection instruction according to the first type of fault. In this embodiment, the first type of fault may be understood as a common fault occurring in the intelligent networking device before the fault detection is performed on the intelligent networking device this time. Alternatively, the preset frequency threshold may be understood as a critical occurrence frequency when the fault problem is determined to be a common fault and an unusual fault. Optionally, the occurrence frequency of the first type of fault may be greater than a preset frequency threshold. If the first type fault is a dehydration fault of the washing machine, the first self-detection command may be a dehydration fault self-detection command.
The process of receiving the self-detection instruction sent by the cloud server in step S6000 may further include the following steps: receiving a second self-detection instruction sent by the cloud server; the second self-detection instruction is a self-detection instruction generated according to the fault information of the second type of fault, and the occurrence frequency of the second type of fault is smaller than or equal to a preset frequency threshold.
Specifically, the intelligent networking device can receive a second self-detection instruction sent by the cloud server. Optionally, the cloud server may obtain a second type fault of the intelligent networking device, and generate a corresponding second self-detection instruction according to the second type fault. In this embodiment, the second type of fault may be understood as an unusual fault or an abnormal operation fault occurring in the intelligent networking device before the fault detection is performed on the intelligent networking device this time. Alternatively, the occurrence frequency of the second type of fault may be less than or equal to a preset frequency threshold. If the second type of fault is a rotational speed operation fault of the washing machine, the second self-detection command may be a rotational speed operation fault self-detection command.
It can be understood that, if the intelligent networking device sends a response to the cloud server after receiving the first self-detection instruction, the intelligent networking device is characterized to complete fault detection according to the first self-detection instruction, and at the moment, the second self-detection instruction can be continuously sent to the intelligent networking device to execute fault detection. Or, if the cloud server receives the fault information sent after the intelligent networking device executes the first self-detection instruction, it can be determined that the intelligent networking device completes fault detection according to the first self-detection instruction, and at this time, the second self-detection instruction can be continuously sent to the intelligent networking device to execute fault detection.
According to the equipment fault detection method, a first self-detection instruction sent by the cloud server can be received, the first self-detection instruction is a self-detection instruction corresponding to a common fault, and the intelligent networking equipment responds to the self-detection instruction, so that an automatic detection technology can be realized, and the problem that the intelligent networking equipment has the common fault at this time can be quickly determined; furthermore, receive the second self-checking instruction that high in the clouds server sent to give intelligent networking equipment with this second self-checking instruction, this self-checking instruction of intelligent networking equipment response, thereby can confirm fast that other fault problems that intelligent networking equipment has not common trouble this time, can the short-term test of the concrete fault problem that intelligent networking equipment appears through this kind of categorised fault detection.
It should be understood that although the various steps in the flow charts of fig. 2 and 3-6 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2 and 3-6 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least some of the other steps or stages.
Fig. 7 is a schematic structural diagram of an apparatus failure detection system according to another embodiment; the equipment fault detection system comprises a user terminal, intelligent networking equipment and a cloud server.
The cloud server is configured to execute the method in any one of the embodiments corresponding to fig. 2 to 5;
the intelligent networked device is configured to perform the method of the corresponding embodiment of fig. 6 described above.
Specifically, the cloud server can match an identifier of the intelligent networking device contained in the fault detection instruction with a preset identifier in a preset fault information base to obtain a preset identifier successfully matched with the identifier of the intelligent networking device, the preset identifier is used as a target identifier, historical fault information corresponding to the target identifier is obtained from the preset fault information base according to the obtained target identifier, then a first type fault of the intelligent networking device is obtained from the historical fault information, a corresponding first self-detection instruction is generated according to the first type fault, a second type fault of the intelligent networking device is obtained from the historical fault information, and a corresponding second self-detection instruction is generated according to the second type fault. The cloud server can determine that the intelligent networking equipment completes fault detection according to the first self-detection instruction when receiving the fault information sent after the intelligent networking equipment executes the first self-detection instruction, and can continue to send the second self-detection instruction to the intelligent networking equipment to execute fault detection. Or, if the intelligent networking equipment receives the first self-detection instruction and sends a response to the cloud server, the intelligent networking equipment is represented to finish fault detection according to the first self-detection instruction, and at the moment, the second self-detection instruction can be continuously sent to the intelligent networking equipment to execute fault detection. In this embodiment, the occurrence frequency of the first type of fault is less than or equal to the preset frequency threshold, and the occurrence frequency of the second type of fault is less than or equal to the preset frequency threshold.
Furthermore, the cloud service can acquire the use record information of the intelligent networking equipment, arrange the current fault information and the use record information into a fault analysis report according to a classification list mode, and send the fault analysis report to the user terminal so as to output and display the fault analysis report to the user through the user terminal, and the user can know the fault condition of the intelligent networking equipment in real time. In addition, the cloud server can analyze the current fault information and the use record information in the fault analysis report, and obtains a set of rationalized fault solutions through logic calculation so as to obtain fault solution information in the fault solutions; and then, the cloud server can arrange the use record information, the current fault information and the fault solving information into a fault analysis report in a classification list mode and send the fault analysis report to the user terminal.
In addition, the intelligent networking equipment can receive a self-detection instruction generated by historical fault information of the intelligent networking equipment of the cloud server, respond to the self-detection instruction to perform fault detection, generate the current fault information, and send the acquired current fault information to the cloud server, so that the cloud server arranges the current fault information into a fault analysis report, sends the fault analysis report to the user terminal, and outputs the fault analysis report through the user terminal, and a user can know the fault condition of the intelligent networking equipment in real time.
The device fault detection system provided in this embodiment may implement the method embodiments described above, and the implementation principle and technical effect are similar, which are not described herein again.
In one embodiment, as shown in fig. 8, there is provided an apparatus for detecting a device failure, the apparatus for detecting a device failure including: the system comprises a historical fault information acquisition module 11, a self-detection instruction generation module 12, a fault information receiving module 13 and an analysis report generation module 14.
Specifically, the historical fault information obtaining module 11 is configured to obtain historical fault information of the intelligent networking device according to a fault detection instruction sent by the user terminal;
the self-detection instruction generation module 12 is used for generating a self-detection instruction according to the historical fault information and sending the self-detection instruction to the intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to carry out fault detection;
the fault information receiving module 13 is used for receiving the current fault information sent by the intelligent networking equipment;
and the analysis report generating module 14 is configured to generate a fault analysis report according to the current fault information, and send the fault analysis report to the user terminal.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, the device failure detection apparatus further includes: a record information receiving module is used.
Specifically, the usage record information receiving module is used for receiving the usage record information; wherein the usage record information includes: the usage record information and the historical usage record information.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, the analysis report generation module 14: an analysis report generation unit.
And the analysis report generating unit is used for generating a fault analysis report according to the use record information and the current fault information.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, the analysis report generation unit includes: an analysis subunit and an analysis report generation subunit.
Specifically, the analysis subunit is configured to analyze the usage record information and the current fault information, and determine fault resolution information;
and the analysis report generating subunit is used for generating a fault analysis report according to the use record information, the current fault information and the fault resolution information.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, the fault detection instructions include an identification of the intelligent networking device; the historical failure information acquisition module 11 includes: the device comprises a matching unit and a historical fault information acquisition unit.
Specifically, the matching unit is used for matching the identifier of the intelligent networking device with a preset identifier in a preset fault information base to obtain a target identifier successfully matched with the identifier of the intelligent networking device;
and the historical fault information acquisition unit is used for acquiring historical fault information corresponding to the target identifier from a preset fault information base.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, the self-test instruction generation module 12 includes: the device comprises a first type fault acquisition unit and a first self-detection instruction generation unit.
Specifically, the first-type fault obtaining unit is used for obtaining a first-type fault of the intelligent networking device from historical fault information; the occurrence frequency of the first type faults is greater than a preset frequency threshold value;
and the first self-detection instruction generating unit is used for generating a corresponding first self-detection instruction according to the first type fault.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, the self-test instruction generation module 12 further includes: the second type fault acquisition unit and the second self-detection instruction generation unit.
Specifically, the second-type fault obtaining unit is used for obtaining a second-type fault of the intelligent networking device from the historical fault information; wherein the occurrence frequency of the first type of fault is less than or equal to a preset frequency threshold;
and the second self-detection instruction generating unit is used for generating a corresponding second self-detection instruction according to the second type fault.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, the self-test instruction generation module 12 further includes: and a self-detection instruction sending unit.
And the self-detection instruction sending unit is used for sending the second self-detection instruction to the intelligent networking equipment if the intelligent networking equipment completes fault detection according to the first self-detection instruction.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, as shown in fig. 9, there is provided another device failure detection apparatus, the apparatus including: a self-detection instruction receiving module 21, a self-detection instruction responding module 22 and a fault information sending module 23.
Specifically, the self-detection instruction receiving module 21 is configured to receive a self-detection instruction sent by the cloud server; the self-detection instruction is an instruction generated by the cloud server according to historical fault information of the intelligent networking equipment;
a self-detection instruction response module 22, configured to respond to the self-detection instruction to perform fault detection, and generate current fault information;
the fault information sending module 23 is configured to send the current fault information to the cloud server, so that the cloud server generates a fault analysis report according to the current fault information, and sends the fault analysis report to a user terminal.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, the self-detection instruction receiving module 21 includes: a first self-test instruction receiving unit.
Specifically, the first self-detection instruction receiving unit is used for receiving a first self-detection instruction sent by the cloud server; the first self-detection instruction is a self-detection instruction generated according to fault information of the first type of fault, and the occurrence frequency of the first type of fault is greater than a preset frequency threshold.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
In one embodiment, the self-detection instruction receiving module 21 further includes: a second self-test command receiving unit.
Specifically, the second self-detection instruction receiving unit is used for receiving a first self-detection instruction sent by the cloud server; the first self-detection instruction is a self-detection instruction generated according to fault information of the first type of fault, and the occurrence frequency of the first type of fault is greater than a preset frequency threshold.
The device fault detection apparatus provided in this embodiment may implement the method embodiments, and the implementation principle and technical effect thereof are similar, and are not described herein again.
For the specific definition of the device failure detection apparatus, reference may be made to the above definition of the device failure detection method, which is not described herein again. The modules in the device failure detection apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram can be seen in fig. 10. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a device failure detection method.
In one embodiment, an intelligent networking device is provided, which may be an intelligent home device, and its internal structure diagram may be as shown in fig. 11. The intelligent networking device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the intelligent networked device is configured to provide computing and control capabilities. The memory of the intelligent networking device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the intelligent networking device is used for being connected and communicated with an external terminal through a network. The computer program is executed by a processor to implement a device failure detection method.
Those skilled in the art will appreciate that the architectures depicted in fig. 10 and 11 are merely block diagrams of portions of the architecture associated with the subject application and do not constitute limitations on the computing devices to which the subject application may be applied, as particular computing devices and intelligent networking devices may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring historical fault information of the intelligent networking equipment according to a fault detection instruction sent by a user terminal;
generating a self-detection instruction according to the historical fault information, and sending the self-detection instruction to the intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to carry out fault detection;
receiving the fault information sent by the intelligent networking equipment;
generating a fault analysis report according to the current fault information, and sending the fault analysis report to a user terminal; or
Receiving a self-detection instruction sent by a cloud server; the self-detection instruction is generated by the cloud server according to historical fault information of the intelligent networking equipment;
responding to the self-detection instruction to carry out fault detection and generating current fault information;
and sending the fault information to the cloud server so that the cloud server generates a fault analysis report according to the fault information and sends the fault analysis report to the user terminal.
In one embodiment, a storage medium is provided having a computer program stored thereon, the computer program when executed by a processor implementing the steps of:
acquiring historical fault information of the intelligent networking equipment according to a fault detection instruction sent by a user terminal;
generating a self-detection instruction according to the historical fault information, and sending the self-detection instruction to the intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to carry out fault detection;
receiving the fault information sent by the intelligent networking equipment;
generating a fault analysis report according to the current fault information, and sending the fault analysis report to a user terminal; or
Receiving a self-detection instruction sent by a cloud server; the self-detection instruction is generated by the cloud server according to historical fault information of the intelligent networking equipment;
responding to the self-detection instruction to carry out fault detection and generating current fault information;
and sending the fault information to the cloud server so that the cloud server generates a fault analysis report according to the fault information and sends the fault analysis report to the user terminal.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (14)

1. A method of device fault detection, the method comprising:
acquiring historical fault information of the intelligent networking equipment according to a fault detection instruction sent by a user terminal;
generating a self-detection instruction according to the historical fault information, and sending the self-detection instruction to the intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to perform fault detection;
receiving the fault information sent by the intelligent networking equipment;
and generating a fault analysis report according to the fault information, and sending the fault analysis report to the user terminal.
2. The method of claim 1, further comprising:
receiving usage record information; wherein the usage record information includes: the current use record information and the historical use record information;
generating a fault analysis report according to the current fault information, wherein the fault analysis report comprises the following steps:
and generating the fault analysis report according to the use record information and the current fault information.
3. The method according to claim 2, wherein the generating the fault analysis report according to the usage record information and the current fault information comprises:
analyzing the use record information and the current fault information to determine fault solving information;
and generating the fault analysis report according to the use record information, the current fault information and the fault solution information.
4. The method according to any of claims 1-3, wherein the fault detection instruction includes an identification of the intelligent networking device; the acquiring of the historical fault information of the intelligent networking device according to the fault detection instruction sent by the user terminal comprises the following steps:
matching the identification of the intelligent networking equipment with a preset identification in a preset fault information base to obtain a target identification successfully matched with the identification of the intelligent networking equipment;
and acquiring historical fault information corresponding to the target identification from the preset fault information base.
5. The method according to any one of claims 1-3, wherein the generating self-test instructions from the historical fault information comprises:
acquiring a first type of fault of the intelligent networking equipment from the historical fault information; wherein the occurrence frequency of the first type of fault is greater than a preset frequency threshold;
and generating a corresponding first self-detection instruction according to the first type fault.
6. The method of claim 5, wherein generating self-test instructions based on the historical fault information further comprises:
acquiring a second type of fault of the intelligent networking equipment from the historical fault information; wherein the frequency of occurrence of the first type of fault is less than or equal to the preset frequency threshold;
generating a corresponding second self-detection instruction according to the second type fault;
the sending the self-detection instruction to the intelligent networking device comprises:
and if the intelligent networking equipment completes fault detection according to the first self-detection instruction, sending the second self-detection instruction to the intelligent networking equipment.
7. A method of device fault detection, the method comprising:
receiving a self-detection instruction sent by a cloud server; the self-detection instruction is an instruction generated by the cloud server according to historical fault information of the intelligent networking equipment;
responding to the self-detection instruction to carry out fault detection and generating current fault information;
and sending the current fault information to the cloud server so that the cloud server generates a fault analysis report according to the current fault information and sends the fault analysis report to a user terminal.
8. The method of claim 7, wherein the receiving the self-test instruction sent by the cloud server comprises:
receiving a first self-detection instruction sent by the cloud server; the first self-detection instruction is a self-detection instruction generated according to fault information of a first type fault, and the occurrence frequency of the first type fault is greater than a preset frequency threshold.
9. The method of claim 8, wherein the receiving the self-test command sent by the cloud server further comprises:
receiving a second self-detection instruction sent by the cloud server; the second self-detection instruction is a self-detection instruction generated according to fault information of a second type of fault, and the occurrence frequency of the second type of fault is smaller than or equal to a preset frequency threshold.
10. An equipment fault detection system, characterized in that the system comprises: the system comprises a user terminal, intelligent networking equipment and a cloud server; wherein the content of the first and second substances,
the cloud server is used for executing the method of any one of claims 1-6;
the intelligent networked device is configured to perform the method of any of claims 7-9.
11. An apparatus for equipment fault detection, the apparatus comprising:
the historical fault information acquisition module is used for acquiring historical fault information of the intelligent networking equipment according to a fault detection instruction sent by the user terminal;
the self-detection instruction generation module is used for generating a self-detection instruction according to the historical fault information and sending the self-detection instruction to the intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to perform fault detection;
the fault information receiving module is used for receiving the current fault information sent by the intelligent networking equipment;
and the analysis report generating module is used for generating a fault analysis report according to the fault information of the time and sending the fault analysis report to the user terminal.
12. An apparatus for equipment fault detection, the apparatus comprising:
the self-detection instruction receiving module is used for receiving a self-detection instruction sent by the cloud server; the self-detection instruction is an instruction generated by the cloud server according to historical fault information of the intelligent networking equipment;
the instruction response module is used for responding the self-detection instruction to carry out fault detection and generating the current fault information;
and the fault information sending module is used for sending the fault information to the cloud server so that the cloud server generates a fault analysis report according to the fault information and sends the fault analysis report to the user terminal.
13. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 9 when executing the computer program.
14. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, realizing the steps of the method of any one of claims 1 to 9.
CN202010578333.8A 2020-06-23 2020-06-23 Equipment fault detection method, system, device, computer equipment and storage medium Active CN113839825B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010578333.8A CN113839825B (en) 2020-06-23 2020-06-23 Equipment fault detection method, system, device, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010578333.8A CN113839825B (en) 2020-06-23 2020-06-23 Equipment fault detection method, system, device, computer equipment and storage medium

Publications (2)

Publication Number Publication Date
CN113839825A true CN113839825A (en) 2021-12-24
CN113839825B CN113839825B (en) 2024-03-01

Family

ID=78963895

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010578333.8A Active CN113839825B (en) 2020-06-23 2020-06-23 Equipment fault detection method, system, device, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN113839825B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116071049A (en) * 2023-03-06 2023-05-05 广州疆海科技有限公司 Energy storage device fault removal method and device, computer device and storage medium
CN116132270A (en) * 2022-12-27 2023-05-16 中国联合网络通信集团有限公司 Fault detection method, device, equipment and readable storage medium

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105207851A (en) * 2015-09-30 2015-12-30 小米科技有限责任公司 Fault detection method, device, system and terminal and intelligent device
CN105446311A (en) * 2014-08-25 2016-03-30 苏州俊峰伟业信息技术有限公司 Method and system for analyzing and diagnosing automobile fault
CN107038485A (en) * 2017-03-02 2017-08-11 美的智慧家居科技有限公司 Equipment obstacle management method and system
CN109993541A (en) * 2017-12-28 2019-07-09 青岛日日顺电器服务有限公司 A kind of method, apparatus that smart machine independently reports for repairment, server and storage medium
CN110290016A (en) * 2019-07-25 2019-09-27 腾讯科技（深圳）有限公司 Equipment obstacle management method, apparatus, internet of things equipment and storage medium
CN110635977A (en) * 2019-09-18 2019-12-31 青岛海信智慧家居系统股份有限公司 Equipment self-checking method and device
CN110888782A (en) * 2019-11-21 2020-03-17 望海康信(北京)科技股份公司 Device processing method, system, electronic device and computer readable storage medium
CN111126632A (en) * 2019-11-25 2020-05-08 合肥美的电冰箱有限公司 Household appliance fault prediction method and device, refrigerator and storage medium
CN111211929A (en) * 2019-12-31 2020-05-29 深圳市优必选科技股份有限公司 Fault positioning method, fault positioning device, control equipment and intelligent equipment

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105446311A (en) * 2014-08-25 2016-03-30 苏州俊峰伟业信息技术有限公司 Method and system for analyzing and diagnosing automobile fault
CN105207851A (en) * 2015-09-30 2015-12-30 小米科技有限责任公司 Fault detection method, device, system and terminal and intelligent device
CN107038485A (en) * 2017-03-02 2017-08-11 美的智慧家居科技有限公司 Equipment obstacle management method and system
CN109993541A (en) * 2017-12-28 2019-07-09 青岛日日顺电器服务有限公司 A kind of method, apparatus that smart machine independently reports for repairment, server and storage medium
CN110290016A (en) * 2019-07-25 2019-09-27 腾讯科技（深圳）有限公司 Equipment obstacle management method, apparatus, internet of things equipment and storage medium
CN110635977A (en) * 2019-09-18 2019-12-31 青岛海信智慧家居系统股份有限公司 Equipment self-checking method and device
CN110888782A (en) * 2019-11-21 2020-03-17 望海康信(北京)科技股份公司 Device processing method, system, electronic device and computer readable storage medium
CN111126632A (en) * 2019-11-25 2020-05-08 合肥美的电冰箱有限公司 Household appliance fault prediction method and device, refrigerator and storage medium
CN111211929A (en) * 2019-12-31 2020-05-29 深圳市优必选科技股份有限公司 Fault positioning method, fault positioning device, control equipment and intelligent equipment

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116132270A (en) * 2022-12-27 2023-05-16 中国联合网络通信集团有限公司 Fault detection method, device, equipment and readable storage medium
CN116071049A (en) * 2023-03-06 2023-05-05 广州疆海科技有限公司 Energy storage device fault removal method and device, computer device and storage medium
CN116071049B (en) * 2023-03-06 2023-12-12 广州疆海科技有限公司 Energy storage device fault removal method and device, computer device and storage medium

Also Published As

Publication number Publication date
CN113839825B (en) 2024-03-01

Similar Documents

Publication Publication Date Title
CN107766190B (en) Interface testing method and device, computer equipment and storage medium
CN110765026B (en) Automatic test method, device, storage medium and equipment
CN108052440B (en) Method, device, equipment and storage medium for correcting operation logic of business system
CN113839825A (en) Equipment fault detection method, system, device, computer equipment and storage medium
CN110031746B (en) Chip test remote monitoring method and device, computer equipment and storage medium
CN111045879B (en) Method, device and storage medium for generating pressure test report
CN107357727A (en) APP testing results method, apparatus, readable storage medium storing program for executing and computer equipment
CN105183630A (en) Method and device for testing application program
CN110162453B (en) Test method, test device, computer readable storage medium and computer equipment
CN103019942A (en) Method and system for automatically testing applications to be tested based on android system
CN112052169A (en) Test management method, system, device and computer readable storage medium
CN110688168A (en) Method, device and equipment for improving starting speed of application program and storage medium
CN111726818A (en) Wireless chip testing method and device, computer equipment and storage medium
CN111026627A (en) Pressure testing method and device and server
CN104156305A (en) Application program testing method and device
CN111831542A (en) API application debugging method and device and storage medium
CN114328243A (en) Abnormal operation data processing method, device, equipment and storage medium
CN114326677A (en) Vehicle machine testing method and device
CN111061637B (en) Interface testing method, interface testing device and storage medium
CN116303078A (en) Application program code level performance analysis method, device, equipment and medium
CN113656291B (en) Dynamic calling method for software script engine
CN115391110A (en) Test method of storage device, terminal device and computer readable storage medium
CN109739752B (en) Built-in resource testing method and device, electronic equipment and readable storage medium
CN114398272A (en) Pressure measurement method and pressure measurement device for combination performance bottleneck positioning
CN113238901A (en) Multi-device automatic testing method and device, storage medium and computer device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20240122

Address after: 266101 in Haier Industrial Park, Laoshan District, Qingdao City, Shandong Province

Applicant after: Qingdao Haier Technology Co., Ltd.

Country or region after: China

Applicant after: QINGDAO HAIER SMART TECHNOLOGY R&D Co.,Ltd.

Applicant after: Haier Zhijia Co.,Ltd.

Address before: No.1, Haier Road, Laoshan District, Qingdao City, Shandong Province 266100

Applicant before: QINGDAO HAIER SMART TECHNOLOGY R&D Co.,Ltd.

Country or region before: China

Applicant before: Haier Zhijia Co.,Ltd.

GR01 Patent grant
GR01 Patent grant