CN113839825B

CN113839825B - Equipment fault detection method, system, device, computer equipment and storage medium

Info

Publication number: CN113839825B
Application number: CN202010578333.8A
Authority: CN
Inventors: 唐念行; 王晔; 黄橙; 赵飞; 李敏知
Original assignee: Qingdao Haier Smart Technology R&D Co Ltd; Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd
Current assignee: Qingdao Haier Smart Technology R&D Co Ltd; Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd
Priority date: 2020-06-23
Filing date: 2020-06-23
Publication date: 2024-03-01
Anticipated expiration: 2040-06-23
Also published as: CN113839825A

Abstract

The application relates to an equipment fault detection method, an equipment fault detection system, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring historical fault information of 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 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; the method can remotely detect the fault problem of the intelligent networking equipment in real time to obtain the fault information, obtain a fault analysis report through the fault information, and rapidly detect the fault problem of the intelligent networking equipment through the set of remote online fault detection technology, thereby improving the fault detection efficiency.

Description

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

Technical Field

The present disclosure relates to the field of fault detection technologies of intelligent networking devices, and in particular, to a device fault detection method, system, device, computer device, and storage medium.

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 function is also more and more abundant. Most intelligent devices utilize the internet of things technology to automatically control and operate the intelligent devices through a network.

However, the intelligent device also fails during use, and when the intelligent device fails, a manual detection mode is generally used to determine the failure cause, and corresponding measures are taken according to the failure cause to solve the failure problem. However, the conventional fault detection method may result in low fault detection efficiency.

Disclosure of Invention

In view of the foregoing, it is desirable to provide an apparatus failure detection method, system, computer apparatus, and storage medium that can improve failure detection efficiency.

In a first aspect, a method for detecting a device failure, the method comprising:

acquiring historical fault information of 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.

In one embodiment, the method further comprises:

receiving usage record information; wherein the usage record information includes: the current usage record information and the historical usage record information;

generating a fault analysis report according to the fault information, including:

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 resolution information;

and generating the fault analysis report according to the use record information, the current fault information and the fault resolution information.

In one embodiment, the fault detection instruction includes an identification of the intelligent networking device; the obtaining the historical fault information of the intelligent networking equipment 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 identifier from the preset fault information base.

In one embodiment, the generating the 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 faults is greater than a preset frequency threshold;

and generating a corresponding first self-detection instruction according to the first type of faults.

In one embodiment, the generating the self-detection 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 occurrence frequency of the second type of faults is less than or equal to the preset frequency threshold;

generating a corresponding second self-detection instruction according to the second type of faults;

the sending the self-detection instruction to the intelligent networking device comprises the following steps:

and if the intelligent networking equipment is determined to finish 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 for detecting a device failure, 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 intelligent networking equipment;

responding to the self-detection instruction to perform fault detection and generating the 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 sending the fault analysis report to a user terminal.

In one embodiment, the receiving the self-detection instruction sent by the 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 the fault information of the first type of faults, and the occurrence frequency of the first type of faults is greater than a preset frequency threshold.

In one embodiment, the receiving the self-detection instruction sent by the 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 the fault information of the second type of faults, and the occurrence frequency of the second type of faults is smaller than or equal to a preset frequency threshold value.

In a third aspect, an equipment failure detection system, the system comprising: the system comprises a user terminal, intelligent networking equipment and a cloud server; wherein,

the cloud server is configured to perform the method of any one of the first aspects;

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, when executing the computer program, performs the steps of:

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 alternatively

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:

receiving the fault information sent by the intelligent networking equipment;

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 the fault detection instruction sent by the user terminal, a self-detection instruction is generated according to the historical fault information, the self-detection instruction is sent to the intelligent networking equipment, the fault information sent by the intelligent networking equipment is received, a fault analysis report is generated according to the 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 fault information, obtain a fault analysis report through the fault information, and rapidly detect the fault problem of the intelligent networking equipment through the set of remote online fault detection technology, thereby improving the fault detection efficiency.

Drawings

FIG. 1 is an application scenario diagram of an equipment failure detection system provided by an embodiment;

FIG. 2 is a flow chart of a method for detecting a device failure according to an embodiment;

FIG. 3 is a diagram of a display interface for detecting a failure and a failure detection result according to another embodiment;

FIG. 4 is a flowchart illustrating a specific method for obtaining historical failure information of an intelligent networking device according to another embodiment;

FIG. 5 is a flowchart illustrating an exemplary method for generating a self-test instruction according to another embodiment;

FIG. 6 is a flow chart of another method for detecting equipment failure according to another embodiment;

FIG. 7 is a schematic diagram of a device fault detection system according to one embodiment;

FIG. 8 is a schematic diagram of a device fault detection apparatus according to an embodiment;

FIG. 9 is a schematic diagram of a device fault detection apparatus according to another embodiment;

FIG. 10 is a schematic diagram of an internal structure of a computer device according to one embodiment;

fig. 11 is a schematic diagram of an internal structure of an intelligent networking 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 will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The method for detecting the equipment failure provided by the embodiment can be suitable for an application scene graph of the equipment failure 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 communicate through wireless connection; the wireless connection may be Wi-Fi, a mobile network or a bluetooth connection, etc. Alternatively, the user terminal may be an electronic device capable of installing an application program, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, or a personal digital assistant. Alternatively, 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, or 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 acquire a fault analysis report. The specific procedure of the apparatus failure detection method will be specifically described in the following embodiments. In this embodiment, the execution body 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 embodiment.

Fig. 2 is a flow chart of an apparatus fault detection method according to an embodiment. The execution main body of the device fault detection method provided in this embodiment may be a cloud server, and this embodiment relates to a process how to perform fault diagnosis on intelligent networking devices and obtain a fault analysis report. As shown in fig. 2, the method can be implemented by the following steps:

and step S1000, acquiring historical fault information of the intelligent networking equipment according to a fault detection instruction sent by the user terminal.

Specifically, the user may 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 fault detection instruction may be input by a user by clicking a fault detection function button manually, or by voice. Alternatively, the fault detection instructions may include detection instructions corresponding to different types of faults and identification of 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, and may further include an unusual fault detection instruction corresponding to an unusual fault of the intelligent networking device, and of course, may further 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-touch full 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 washing machine water injection fault detection instruction, a washing fault detection instruction, a dehydration fault detection instruction, a spin-drying fault detection instruction, and the like, and the abnormal operation fault detection instruction may be represented as an abnormal rotation speed operation fault detection instruction of a washing machine motor, and the like.

It should be noted that, after receiving the fault detection instruction sent by the user terminal, the cloud server may obtain the historical fault information of the corresponding intelligent networking device according to the fault detection instruction corresponding to the different intelligent networking devices. The historical fault information can comprise fault types corresponding to faults of the intelligent networking equipment before the current moment and occurrence frequencies corresponding to different types of faults before the current moment; in addition, the historical fault information can be understood to include abnormal operation fault information and common fault information of the intelligent networking equipment before the current moment. If the intelligent networking device is a washing machine, the fault type of the washing machine can be water injection fault, washing fault, dehydration fault, spin-drying fault and the like.

Step S2000, generating a self-detection instruction according to the historical fault information, and sending the self-detection instruction to intelligent networking equipment; the self-detection instruction is used for indicating the intelligent networking equipment to perform fault detection.

Specifically, the cloud server can acquire common fault information in the historical fault information, generate a self-detection instruction of a 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 responds 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 a normal operation of the intelligent networking device; the self-test instruction may include one type of fault detection command, or may include multiple types of fault detection commands.

And step S3000, receiving the fault information sent by the intelligent networking equipment.

Specifically, the cloud server can start fault detection after receiving the response self-detection instruction of the intelligent networking device, and generate the fault information. Optionally, the fault information may be characterized as fault information corresponding to a fault problem that occurs when the intelligent networking device is detected to run the operation program at the present time; the fault information can comprise the fault type corresponding to the fault problem generated when the intelligent networking equipment operates the operation program, the occurrence frequency corresponding to the fault type and the detection parameter. Generally, the occurrence frequency corresponding to the present fault information 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 the washing machine receives the water injection fault self-detection instruction, starting a water injection operation program, and if abnormal operation exists in the water injection operation at this time, the washing machine can 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 communicates with the user terminal, and the result of the abnormal water injection operation can be sent to the user terminal for display so as to be checked by a user in time; one of the display results may be shown in fig. 3, wherein the left side of fig. 3 is a detection interface diagram during water injection operation detection, and the right side of fig. 3 is a detection result interface diagram after the water injection operation detection is completed.

And S4000, generating a fault analysis report according to the 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 send 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 equipment 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, or may be a mode of voice broadcasting, or may be a mode of playing a video.

According to the equipment fault detection method, historical fault information of the intelligent networking equipment can be obtained according to the fault detection instruction sent by the user terminal, a self-detection instruction is generated according to the historical fault information, the self-detection instruction is sent to the intelligent networking equipment, the fault information sent by the intelligent networking equipment is received, a fault analysis report is generated according to the 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 fault information, obtain a fault analysis report through the fault information, and rapidly detect the fault problem of the intelligent networking equipment through the set of remote online fault detection technology, thereby improving the fault detection efficiency.

As one embodiment, before the step S4000, the device fault detection method may further include: receiving usage record information, wherein the usage record information includes: the current 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 to a usage information base of the intelligent networking device. The usage information can comprise common operation programs, usage habit information, total consumption resource amount and the like of the intelligent networking equipment; in addition, the usage record information may include current usage record information acquired after the current intelligent networking device performs fault detection, and historical usage record information of the intelligent networking device acquired before the current fault detection. The use record information can be the use habit information and the total consumption resource amount of the washing machine in the process of executing the self-detection instruction by the washing machine; the usage habit information can be name information of a detergent used by the washing machine, on-line time length of the running process of the washing machine, water consumption and electricity consumption of the washing machine.

In this embodiment, after fault detection is performed on the intelligent networking device, the usage information of the intelligent networking device may be automatically stored in a usage information base stored in the cloud server; historical usage record information in the usage information base may be understood as accumulated record information.

For example, if the intelligent networking device is a washing machine, the usual operating procedures of the washing machine may be air washing and washing drying integrated operation procedures and the like; the using habit information of the washing machine can comprise information that the common detergents are blue moon, wonderful and the like, and can also comprise information that the washing machine is common on-line time length and the like; the total amount of resources consumed by the washing machine may include a corresponding total amount of water consumed and total amount of electricity consumed by the washing machine once used.

In this embodiment, after fault detection is performed on the intelligent networking device each time, the cloud server may 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 fault information in the step S4000 may include: and generating a fault analysis report according to the use record information and the fault information.

Specifically, the cloud server can sort the current fault information and the usage record information into a fault analysis report according to a classification list mode, and send 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 equipment 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, or may be a mode of voice broadcasting, or may be a mode of playing a video.

Further, the process of generating the fault analysis report according to the usage record information and the fault information may specifically include: analyzing the use record information and the fault information to determine fault resolution information; and generating a fault analysis report according to the use record information, the current fault information and the fault resolution information. It can be understood that the cloud server can analyze the current fault information and the use record information in the fault analysis report, and obtain a set of reasonable fault solution through logic calculation, so as to obtain the fault solution information in the fault solution; and the cloud server can arrange the use record information, the current fault information and the fault resolution information into a fault analysis report according to a classification list mode, and send the fault analysis report to the user terminal, wherein the user terminal can display the fault state of the intelligent networking equipment in a mode of view text, video playing, voice broadcasting and the like so as to enable a user to grasp the fault state of the intelligent networking equipment in real time.

The equipment fault detection method can receive the use record information, wherein the use record information comprises the use record information and the historical use record information, generates a fault analysis report according to the use record information and the fault information, then sends the fault analysis report to the user terminal, and outputs the fault analysis report through the user terminal, so that a user can grasp the fault state of the intelligent networking equipment and the use record information in real time, can take corresponding measures in time to solve the fault problem of the intelligent networking equipment, can grasp the use record information of the intelligent networking equipment in real time, controls the resource consumption of the user, and can change abnormal use habit of the intelligent networking equipment in time, thereby saving resources, reducing the use cost and prolonging the service life of the intelligent networking equipment; meanwhile, the method can analyze the use record information and the fault information, determine the fault resolution information, generate a fault analysis report according to the use record information, the fault information and the fault resolution information, and can acquire reasonable suggestions for solving the fault problem while a user can grasp the use record information and the fault information of the intelligent networking equipment in real time so as to enable the user to solve the fault problem according to the reasonable suggestions, improve the fault resolution efficiency and avoid affecting the normal use of the intelligent networking equipment.

As one embodiment, the fault detection instruction includes an identification of the intelligent networking device; as shown in fig. 4, the process of obtaining the historical fault information of the intelligent networking device according to the fault detection instruction sent by the user terminal in the step S1000 may specifically include the following steps:

and step 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 may match the identifier of the intelligent networking device included in the fault detection instruction with a preset identifier in a preset fault information base, obtain a preset identifier successfully matched with the identifier of the intelligent networking device, and use the preset identifier 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 string. Optionally, the preset fault information base may include historical fault information obtained before the intelligent networking device is detected to be faulty at this time; 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, where the preset identifier and the historical fault information have a mapping relationship.

Step 1200, obtaining historical fault information corresponding to the target identifier from a preset fault information base.

Specifically, the cloud server may obtain, according to the obtained target identifier, historical fault information corresponding to the target identifier from a preset fault information base.

According to the equipment fault detection method, the historical fault information of the intelligent networking equipment can be obtained, and then the intelligent networking equipment is sequentially subjected to fault detection 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 detected rapidly.

As shown in fig. 5, the process of generating the self-detection instruction according to the historical fault information in the step S2000 may be implemented by the following steps:

step S2100, obtaining a first type of fault of the intelligent networking device from the historical fault information. Wherein the frequency of occurrence of the first type of fault is greater than a preset frequency threshold.

Specifically, the cloud server may obtain a first type of fault of the intelligent networking device from the historical fault information, where 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 at this time. Alternatively, the preset frequency threshold may be understood as a critical occurrence frequency when judging that the fault problem is a common fault and an unusual fault.

By way of example, if the intelligent networking device is a washing machine, the common faults may be of the type of washing machine water injection faults, washing faults, dehydration faults, spin-drying faults, etc.; the occurrence frequency of different types of faults of the washing machine can be the total occurrence frequency of different types of faults of the washing machine before the current moment.

Step S2200, generating a corresponding first self-detection instruction according to the first type of faults.

Specifically, the cloud server may generate a corresponding first self-detection instruction according to the first type of fault. If the first type of fault is a spin-down fault of the washing machine, the first self-detection instruction may be a spin-down fault self-detection instruction.

In addition, with continued reference to fig. 5, the process of generating the self-detection instruction according to the historical fault information in the above step S2000 may also be implemented by the following steps:

step S2300, obtaining a second type fault of the intelligent networking equipment from the historical fault information. Wherein the frequency of occurrence of the second type of fault is less than or equal to a preset frequency threshold.

It should be noted that, the cloud server may obtain the second type of fault of the intelligent networking device from the historical fault information, where the occurrence frequency of the second type of fault is less than or equal to a preset frequency threshold. In this embodiment, the second type of fault may be understood as an unusual fault or an abnormal operation fault that occurs in the intelligent networking device before the fault detection is performed on the intelligent networking device at this time.

Continuing the above 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 start operation program instruction corresponding to the normal operation may be a start washing operation 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 starting operation program instruction corresponding to the normal operation can be the starting dehydration operation program instruction; other common faults correspond to normal running operation and corresponding start-up running operation program instructions.

Step S2400, generating a corresponding second self-detection instruction according to the second type of fault.

It can be appreciated 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 instruction may be a rotational speed operation fault self-detection instruction.

Further, the process of sending the self-detection instruction to the intelligent networking device in the step S2000 may specifically include: and if the fault detection is determined to be completed according to the first self-detection instruction, sending a second self-detection instruction to the intelligent networking equipment.

In this embodiment, if the cloud server receives the fault information sent after the intelligent networking device executes the first self-detection instruction, it may be determined that the intelligent networking device completes fault detection according to the first self-detection instruction, and at this time, the cloud server may continue to send the second self-detection instruction to the intelligent networking device to execute fault detection. Or if the intelligent networking device receives the first self-detection instruction and then sends a response to the cloud server, the intelligent networking device is characterized in that the intelligent networking device has completed 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, the first type of faults 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 of faults, the first self-detection instruction is the self-detection instruction corresponding to the common faults, 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 an automatic detection technology can be realized, and the common fault problem of the intelligent networking equipment can be rapidly determined; further, 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, the intelligent networking equipment responds to the self-detection instruction, and therefore other fault problems which are not common faults and occur to the intelligent networking equipment can be rapidly determined, and specific fault problems occurring to the intelligent networking equipment can be rapidly detected through the classified fault detection.

Fig. 6 is a schematic flow chart of an apparatus fault detection method according to another embodiment. The execution subject of the device fault detection method provided in this embodiment may be an intelligent networking device. The equipment fault detection method can be realized by the following steps:

step S6000, a self-detection instruction sent by the cloud server is received, wherein the self-detection instruction is generated by the cloud server according to 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 intelligent networking device of the cloud server. Optionally, the self-detection instruction may be understood as an operation program start instruction corresponding to a normal operation of the intelligent networking device.

And step 7000, performing fault detection in response to the self-detection instruction, and generating the 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 device 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, and compare the current detection parameter with the standard operation parameter corresponding to the current operation, if it is determined that the current detection parameter is greater than the standard operation parameter, it is determined that the current operation has a fault problem, so as to obtain the current fault information of the intelligent networking device executing the current operation. Optionally, when the self-detection instruction is a dehydration failure self-detection instruction corresponding to the washing machine, the current running operation may be determined as a dehydration operation of the washing machine. When the dehydrating operation of the washing machine is normally performed, there are corresponding standard operation parameters.

Step S8000, the fault information is sent to a cloud server, so that the cloud server generates a fault analysis report according to the fault information, and the fault analysis report is sent to a user terminal.

Specifically, the intelligent networking device can send the acquired current fault information to the cloud server, so that the cloud server can arrange the current fault information into a fault analysis report, the fault analysis report is sent to the user terminal, and the fault analysis report is output through the user terminal, so that a user can know the fault condition of the intelligent networking device in real time.

According to the equipment fault detection method, the self-detection instruction sent by the cloud server can be received, the self-detection instruction is responded to generate the fault information, the fault information is sent to the cloud server, so that the cloud server generates a fault analysis report according to the fault information, and the fault analysis report is sent to the user terminal; according to the method, the intelligent networking equipment responds to the self-detection instruction, fault detection is carried out to obtain a fault detection result, and the fault detection result is output through the user terminal, so that an automatic detection technology is realized, the fault detection efficiency is improved, meanwhile, a user can timely acquire the fault detection result, so that the user can timely solve the fault problem according to the fault detection result, and the influence on the normal use of the intelligent networking equipment is avoided.

As one embodiment, the process of receiving the self-detection instruction sent by the cloud server in the step S6000 may include the following steps: receiving a first self-detection instruction sent by a cloud server; the first self-detection instruction is generated according to the fault information of the first type of faults, and the occurrence frequency of the first type of faults is larger than a preset frequency threshold.

Specifically, the intelligent networking device may 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 at this time. Alternatively, the preset frequency threshold may be understood as a critical occurrence frequency when judging that the fault problem is a common fault and an unusual fault. Alternatively, the frequency of occurrence of the first type of fault may be greater than a preset frequency threshold. If the first type of fault is a spin-down fault of the washing machine, the first self-detection instruction may be a spin-down fault self-detection instruction.

The process of receiving the self-detection instruction sent by the cloud server in the step S6000 may further include the following steps: receiving a second self-detection instruction sent by a cloud server; the second self-detection instruction is a self-detection instruction generated according to the fault information of the second type of faults, and the occurrence frequency of the second type of faults is smaller than or equal to a preset frequency threshold value.

Specifically, the intelligent networking device may receive a second self-detection instruction sent by the cloud server. Optionally, the cloud server may obtain a second type of fault of the intelligent networking device, and generate a corresponding second self-detection instruction according to the second type of fault. In this embodiment, the second type of fault may be understood as an unusual fault or an abnormal operation fault that occurs in the intelligent networking device before the fault detection is performed on the intelligent networking device at this time. Alternatively, the frequency of occurrence 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 instruction may be a rotational speed operation fault self-detection instruction.

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 in that the intelligent networking device has completed 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 cloud server receives the fault information sent after the intelligent networking device executes the first self-detection instruction, the intelligent networking device can be determined 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.

According to the equipment fault detection method, the first self-detection instruction sent by the cloud server can be received, the first self-detection instruction is the self-detection instruction corresponding to the common fault, and the intelligent networking equipment responds to the self-detection instruction, so that an automatic detection technology can be realized, and the common fault problem of the intelligent networking equipment can be rapidly determined; further, a second self-detection instruction sent by the cloud server is received, the second self-detection instruction is sent to the intelligent networking equipment, the intelligent networking equipment responds to the self-detection instruction, so that other fault problems which are not common faults and occur to the intelligent networking equipment can be rapidly determined, and specific fault problems occurring to the intelligent networking equipment can be rapidly detected through the classification fault detection.

It should be understood that, although the steps in the flowcharts of fig. 2 and 3 to 6 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps of fig. 2 and 3-6 may include steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the steps or stages in other steps.

FIG. 7 is a schematic diagram of a specific structure of an apparatus fault 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 used for executing the method in any one of the embodiments corresponding to the above-mentioned fig. 2 to 5;

the intelligent networking device is configured to perform the method described above in the corresponding embodiment of fig. 6.

Specifically, the cloud server may match an identifier of the intelligent networking device included in the fault detection instruction with a preset identifier in a preset fault information base, obtain a preset identifier successfully matched with the identifier of the intelligent networking device, use the preset identifier as a target identifier, obtain historical fault information corresponding to the target identifier from the preset fault information base according to the obtained target identifier, obtain a first type of fault of the intelligent networking device from the historical fault information, generate a corresponding first self-detection instruction according to the first type of fault, obtain a second type of fault of the intelligent networking device from the historical fault information, and generate a corresponding second self-detection instruction according to the second type of fault. The cloud server can determine that the intelligent networking device completes fault detection according to the first self-detection instruction when receiving the fault information sent after the intelligent networking device executes the first self-detection instruction, and can continuously send the second self-detection instruction to the intelligent networking device to execute fault detection at the moment. Or if the intelligent networking device receives the first self-detection instruction and then sends a response to the cloud server, the intelligent networking device is characterized in that the intelligent networking device has completed 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. In this embodiment, the frequency of occurrence of the first type of faults is greater than a preset frequency threshold, and the frequency of occurrence of the second type of faults is less than or equal to the preset frequency threshold.

Further, the cloud service can acquire the use record information of the intelligent networking equipment, arrange the 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, so that 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 a set of reasonable fault solution is obtained through logic calculation, so that the fault solution information in the fault solution is obtained; and then, the cloud server can sort the use record information, the current fault information and the fault resolution information into a fault analysis report according to 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 fault information, send the acquired fault information to the cloud server, enable the cloud server to arrange the fault information into a fault analysis report, send the fault analysis report to the user terminal, and output 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 device fault detection system provided in this embodiment may execute the above method embodiment, and its implementation principle and technical effects are similar, and will not be described herein.

In one embodiment, as shown in fig. 8, there is provided an apparatus for detecting a device failure, the apparatus comprising: 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 configured to generate a self-detection instruction according to the historical fault information, and send the self-detection instruction to the intelligent networking device; the self-detection instruction is used for indicating the intelligent networking equipment to perform fault detection;

the fault information receiving module 13 is used for receiving the fault information sent by the intelligent networking equipment;

the analysis report generation 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 execute the above method embodiment, and its implementation principle and technical effects are similar, and are not described herein again.

In one embodiment, the device failure detection apparatus further includes: a log 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 current usage record information and the historical usage record information.

In one embodiment, the analysis report generation module 14: and an analysis report generation unit.

The analysis report generation unit is used for generating a fault analysis report according to the use record information and the fault information.

In one embodiment, the analysis report generation unit includes: an analysis subunit and an analysis report generation subunit.

Specifically, the analysis subunit is used for analyzing the usage record information and the fault information and determining fault resolution information;

and the analysis report generation subunit is used for generating a fault analysis report according to the use record information, the current fault information and the fault resolution information.

In one embodiment, the fault detection instruction includes an identification of the intelligent networking device; the history fault information acquisition module 11 includes: and a matching unit and a history 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 which is successfully matched with the identifier of the intelligent networking device;

the historical fault information acquisition unit is used for acquiring historical fault information corresponding to the target identifier from a preset fault information base.

In one embodiment, the self-test instruction generation module 12 includes: a first type fault acquisition unit and a first self-detection instruction generation unit.

Specifically, a first type fault obtaining unit is configured to obtain a first type fault of the intelligent networking device from the historical fault information; wherein the occurrence frequency of the first type of faults is greater than a preset frequency threshold;

And the first self-detection instruction generation unit is used for generating a corresponding first self-detection instruction according to the first type of faults.

In one embodiment, the self-test instruction generation module 12 further comprises: a second type fault acquisition unit and a second self-detection instruction generation unit.

Specifically, the second type fault obtaining unit is used for obtaining the second type fault of the intelligent networking equipment from the historical fault information; wherein the occurrence frequency of the second type of faults is less than or equal to a preset frequency threshold;

and the second self-detection instruction generation unit is used for generating a corresponding second self-detection instruction according to the second type of faults.

In one embodiment, the self-test instruction generation module 12 further comprises: and a self-detection instruction transmitting unit.

The self-detection instruction sending unit is used for sending a second self-detection instruction to the intelligent networking equipment if the intelligent networking equipment is determined to complete fault detection according to the first self-detection instruction.

In one embodiment, as shown in fig. 9, there is provided another apparatus for detecting a device failure, the apparatus comprising: a self-detection instruction receiving module 21, a self-detection instruction responding module 22 and a fault information transmitting 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 intelligent networking equipment;

the self-detection instruction response module 22 is configured to perform fault detection in response to the self-detection instruction, 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.

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 generated according to the fault information of the first type of faults, and the occurrence frequency of the first type of faults is larger than a preset frequency threshold.

In one embodiment, the self-detection instruction receiving module 21 further includes: and a second self-detection instruction 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 generated according to the fault information of the first type of faults, and the occurrence frequency of the first type of faults is larger than a preset frequency threshold.

For specific limitations on the device failure detection apparatus, reference may be made to the above limitations on the device failure detection method, and no further description is given here. The respective modules in the above-described device failure detection apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be shown with reference to 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 includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. 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 may be seen 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 networking device is configured to provide computing and control capabilities. The memory of the intelligent networking device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the intelligent networking device is used for communicating with an external terminal through network connection. The computer program is executed by a processor to implement a device failure detection method.

Those skilled in the art will appreciate that the structures shown in fig. 10 and 11 are merely block diagrams of partial structures related to the aspects of the present application and do not constitute a limitation of the computer devices to which the aspects of the present application apply, and that a particular computer device and intelligent networking device may include more or less components than those shown, or may 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 stored therein a computer program, the processor when executing the computer program performing the steps of:

generating a self-detection instruction according to the historical fault information, and sending the self-detection instruction to 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 intelligent networking equipment;

generating a fault analysis report according to the fault information, and sending the fault analysis report to a user terminal; or alternatively

Receiving a self-detection instruction sent by a cloud server; the self-detection instruction is an instruction generated by the cloud server according to the historical fault information of the intelligent networking equipment;

and sending the fault information to a cloud server, so that the cloud server generates a fault analysis report according to the fault information and sends the fault analysis report to a user terminal.

In one embodiment, a storage medium having a computer program stored thereon, the computer program when executed by a processor performing the steps of:

receiving the fault information sent by intelligent networking equipment;

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims

1. A method of equipment failure detection, the method comprising:

acquiring historical fault information of intelligent networking equipment according to a fault detection instruction sent by a user terminal, wherein the historical fault information comprises fault types of the intelligent networking equipment which have faults and corresponding occurrence frequencies;

acquiring a first type fault of the intelligent networking equipment from the historical fault information, generating a corresponding first self-detection instruction according to the first type fault, and sending the first self-detection instruction to the intelligent networking equipment; acquiring a second type of fault of the intelligent networking equipment from the historical fault information, generating a corresponding second self-detection instruction according to the second type of fault, and if the intelligent networking equipment is determined to finish fault detection according to the first self-detection instruction, transmitting the second self-detection instruction to the intelligent networking equipment; the occurrence frequency of the first type of faults is greater than a preset frequency threshold, the occurrence frequency of the second type of faults is less than or equal to the preset frequency threshold, and the first self-detection instruction and the second self-detection instruction are both starting instructions of an operation program corresponding to normal operation of the intelligent networking equipment and are used for indicating the intelligent networking equipment to perform fault detection according to the operation program;

Receiving the fault information sent by the intelligent networking equipment; the fault information is fault information corresponding to fault problems which occur when the intelligent networking equipment is detected under the control of the running operation program;

2. The method according to claim 1, wherein the method further comprises:

3. The method of claim 2, wherein generating the fault analysis report from the usage record information and the current fault information comprises:

4. A method according to any of claims 1-3, wherein the fault detection instruction comprises an identification of the intelligent networking device; the obtaining the historical fault information of the intelligent networking equipment according to the fault detection instruction sent by the user terminal comprises the following steps:

5. A method of equipment failure detection, the method comprising:

receiving a first self-detection instruction or a second self-detection instruction sent by a cloud server; the first self-detection instruction is a self-detection instruction generated according to fault information of a first type of faults, the occurrence frequency of the first type of faults is larger than a preset frequency threshold, the second self-detection instruction is a self-detection instruction generated according to fault information of a second type of faults, the occurrence frequency of the second type of faults is smaller than or equal to the preset frequency threshold, the first self-detection instruction and the second self-detection instruction are both instructions generated by the cloud server according to historical fault information of the intelligent networking equipment, and the first self-detection instruction and the second self-detection instruction are starting instructions of operation programs corresponding to normal operation of the intelligent networking equipment;

Responding to the first self-detection instruction or the second self-detection instruction to perform fault detection according to the running operation program, and generating current fault information; the fault information is fault information corresponding to a fault problem which occurs under the control of the running operation program in the detection;

6. The method of claim 5, wherein responding to the first self-test instruction or the second self-test instruction to perform fault detection according to the running operation program, and generating the fault information comprises:

responding to the first self-detection instruction or the second self-detection instruction to obtain the detection parameter;

comparing the current detection parameter with a standard operation parameter corresponding to the current operation;

if the detection parameter is larger than the standard operation parameter, determining that the current operation has a fault problem, and acquiring the fault information of the intelligent networking equipment executing the current operation.

7. An equipment failure detection system, the system comprising: the system comprises a user terminal, intelligent networking equipment and a cloud server; wherein,

the cloud server is configured to perform the method of any of claims 1-4;

the intelligent networking device is configured to perform the method of any of claims 5-6.

8. An apparatus for detecting a device failure, the apparatus comprising:

the system comprises a historical fault information acquisition module, a fault detection module and a fault detection module, wherein the historical fault information acquisition module is used for acquiring historical fault information of intelligent networking equipment according to a fault detection instruction sent by a user terminal, and the historical fault information comprises fault types of the intelligent networking equipment which have faults and corresponding occurrence frequencies;

the self-detection instruction generation module is used for acquiring a first type of fault of the intelligent networking equipment from the historical fault information, generating a corresponding first self-detection instruction according to the first type of fault, and sending the first self-detection instruction to the intelligent networking equipment; the intelligent networking device is further used for acquiring a second type of fault of the intelligent networking device from the historical fault information, generating a corresponding second self-detection instruction according to the second type of fault, and transmitting the second self-detection instruction to the intelligent networking device if the intelligent networking device is determined to complete fault detection according to the first self-detection instruction; the occurrence frequency of the first type of faults is greater than a preset frequency threshold, the occurrence frequency of the second type of faults is less than or equal to the preset frequency threshold, and the first self-detection instruction and the second self-detection instruction are both starting instructions of an operation program corresponding to normal operation of the intelligent networking equipment and are used for indicating the intelligent networking equipment to perform fault detection according to the operation program;

The fault information receiving module is used for receiving the fault information sent by the intelligent networking equipment; the fault information is fault information corresponding to fault problems which occur when the intelligent networking equipment is detected under the control of the running operation program;

and the analysis report generation module is used for generating a fault analysis report according to the fault information and sending the fault analysis report to the user terminal.

9. An apparatus for detecting a device failure, the apparatus comprising:

the self-detection instruction receiving module is used for receiving a first self-detection instruction or a second 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 of faults, the occurrence frequency of the first type of faults is larger than a preset frequency threshold, the second self-detection instruction is a self-detection instruction generated according to fault information of a second type of faults, the occurrence frequency of the second type of faults is smaller than or equal to the preset frequency threshold, the first self-detection instruction and the second self-detection instruction are both instructions generated by the cloud server according to historical fault information of the intelligent networking equipment, and the first self-detection instruction and the second self-detection instruction are starting instructions of operation programs corresponding to normal operation of the intelligent networking equipment;

The instruction response module is used for responding to the first self-detection instruction or the second self-detection instruction to perform fault detection according to the running operation program and generating current fault information; the fault information is fault information corresponding to a fault problem which occurs under the control of the running operation program in the detection;

the fault information sending module is used for 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.

10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

11. A storage medium having stored thereon a computer program, which, when executed by a processor, implements the steps of the method according to any of claims 1 to 6.