CN116132270A - Fault detection method, device, equipment and readable storage medium - Google Patents
Fault detection method, device, equipment and readable storage medium Download PDFInfo
- Publication number
- CN116132270A CN116132270A CN202211686358.5A CN202211686358A CN116132270A CN 116132270 A CN116132270 A CN 116132270A CN 202211686358 A CN202211686358 A CN 202211686358A CN 116132270 A CN116132270 A CN 116132270A
- Authority
- CN
- China
- Prior art keywords
- parameter
- preset
- equipment
- determining
- fault 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.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 264
- 238000000034 method Methods 0.000 claims abstract description 39
- 230000004044 response Effects 0.000 claims description 20
- 238000010586 diagram Methods 0.000 description 22
- 238000004590 computer program Methods 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000010295 mobile communication Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Classifications
-
- 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
- H04L41/0677—Localisation of faults
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
- Computer And Data Communications (AREA)
- Debugging And Monitoring (AREA)
Abstract
The application provides a fault detection method, a device, equipment and a readable storage medium, wherein the method comprises the following steps: determining a first device to be detected; acquiring a parameter identifier and a detection instruction corresponding to first equipment; sending a detection instruction to first equipment; receiving a detection result corresponding to a detection instruction sent by first equipment, wherein the detection result comprises a parameter value corresponding to a parameter identifier; and determining a fault detection result of the first equipment according to the parameter value. The efficiency of fault detection is improved.
Description
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to a fault detection method, device, apparatus, and readable storage medium.
Background
The internet includes a variety of network devices. When a network device fails, it is necessary to perform failure detection on the network device.
In the related art, fault detection is typically performed on a network device by an expert according to experience to determine a fault detection result of the network device. However, in the above-described process, manual detection takes a long time and highly depends on personal experience, resulting in inefficiency in detecting a failure of the network device.
Disclosure of Invention
The application provides a fault detection method, a fault detection device, a fault detection equipment and a readable storage medium, which are used for improving the efficiency of fault detection.
In a first aspect, the present application provides a fault detection method, the method comprising:
determining a first device to be detected;
acquiring a parameter identifier and a detection instruction corresponding to the first equipment;
sending the detection instruction to the first equipment;
receiving a detection result corresponding to the detection instruction sent by the first device, wherein the detection result comprises a parameter value corresponding to the parameter identifier;
and determining a fault detection result of the first equipment according to the parameter value.
In one possible implementation manner, determining a fault detection result of the first device according to the parameter value includes:
determining a plurality of preset modes of the first device, wherein the plurality of preset modes comprise a normal mode and a plurality of fault modes;
acquiring a preset parameter set of the first equipment in each preset mode to obtain a plurality of preset parameter sets, wherein the preset parameter sets comprise a plurality of preset parameter values;
determining the similarity between the parameter value and each preset parameter set;
And determining a fault detection result of the first equipment according to the similarity between the parameter value and each preset parameter set.
In a possible implementation manner, determining a fault detection result of the first device according to the similarity between the parameter value and each preset parameter set includes:
determining a target parameter set in the plurality of preset parameter sets according to the similarity between the parameter value and each preset parameter set, wherein the similarity between the target parameter set and the parameter value is the largest;
and determining the fault detection result according to a preset mode corresponding to the target parameter set.
In one possible embodiment, the method further comprises:
displaying a parameter identification page corresponding to a first equipment type, wherein the first equipment type is the equipment type corresponding to the first equipment, and the parameter identification page comprises a plurality of parameter identifications;
and responding to the editing operation of the plurality of parameter identifiers, acquiring the parameter identifier corresponding to the first equipment type, and adding the parameter identifier corresponding to the first equipment type into the configuration file corresponding to the first equipment type.
In one possible implementation manner, displaying a parameter identification page corresponding to the first device type includes:
displaying a creation page, wherein the creation page comprises a component list area and a component display area;
displaying a plurality of components in a component display area in response to a selected operation on the plurality of components in the component list area;
and responding to clicking operation performed on a first component in the plurality of components, determining that the equipment type corresponding to the first component is the first equipment type, and displaying the parameter identification page corresponding to the first equipment type.
In one possible embodiment, the method further comprises:
determining the first device type;
and determining a detection instruction corresponding to the first equipment type according to the first equipment type, and adding the detection instruction into a configuration file corresponding to the first equipment type.
In a possible implementation manner, obtaining the parameter identifier and the detection instruction corresponding to the first device includes:
acquiring a configuration file corresponding to the first equipment type from a preset database;
and acquiring a parameter identifier and a detection instruction corresponding to the first equipment from the configuration file.
In a second aspect, the present application provides a fault detection device, the fault detection device comprising: the device comprises a first determining module, an acquiring module, a transmitting module, a receiving module and a second determining module, wherein,
the first determining module is used for determining first equipment to be detected;
the acquisition module is used for acquiring the parameter identification and the detection instruction corresponding to the first equipment;
the sending module is used for sending the detection instruction to the first equipment;
the receiving module is used for receiving a detection result corresponding to the detection instruction sent by the first device, wherein the detection result comprises a parameter value corresponding to the parameter identifier;
the second determining module is used for determining a fault detection result of the first device according to the parameter value.
In one possible implementation manner, the second determining module is specifically configured to:
determining a plurality of preset modes of the first device, wherein the plurality of preset modes comprise a normal mode and a plurality of fault modes;
acquiring a preset parameter set of the first equipment in each preset mode to obtain a plurality of preset parameter sets, wherein the preset parameter sets comprise a plurality of preset parameter values;
Determining the similarity between the parameter value and each preset parameter set;
and determining a fault detection result of the first equipment according to the similarity between the parameter value and each preset parameter set.
In one possible implementation manner, the second determining module is specifically configured to:
determining a target parameter set in the plurality of preset parameter sets according to the similarity between the parameter value and each preset parameter set, wherein the similarity between the target parameter set and the parameter value is the largest;
and determining the fault detection result according to a preset mode corresponding to the target parameter set.
In one possible implementation, the apparatus further comprises a display module and a response module, wherein,
the display module is used for displaying a parameter identification page corresponding to a first equipment type, wherein the first equipment type is the equipment type corresponding to the first equipment, and the parameter identification page comprises a plurality of parameter identifications;
the response module is used for responding to the editing operation of the plurality of parameter identifiers, obtaining the parameter identifier corresponding to the first equipment type, and adding the parameter identifier corresponding to the first equipment type into the configuration file corresponding to the first equipment type.
In a possible implementation manner, the display module is further configured to:
displaying a creation page, wherein the creation page comprises a component list area and a component display area;
displaying a plurality of components in a component display area in response to a selected operation on the plurality of components in the component list area;
and responding to clicking operation performed on a first component in the plurality of components, determining that the equipment type corresponding to the first component is the first equipment type, and displaying the parameter identification page corresponding to the first equipment type.
In a possible embodiment, the apparatus further comprises a third determining module for:
determining the first device type;
and determining a detection instruction corresponding to the first equipment type according to the first equipment type, and adding the detection instruction into a configuration file corresponding to the first equipment type.
In one possible implementation manner, the acquiring module is specifically configured to:
acquiring a configuration file corresponding to the first equipment type from a preset database;
and acquiring a parameter identifier and a detection instruction corresponding to the first equipment from the configuration file.
In a third aspect, the present application provides an electronic device, comprising: a processor and a memory;
the memory stores computer-executable instructions;
the processor executing computer-executable instructions stored in the memory, causing the processor to perform the fault detection method of any one of the first aspects.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions for implementing the fault detection method of any one of the first aspects when the computer-executable instructions are executed by a processor.
In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the fault detection method of any of the first aspects.
The embodiment of the application provides a fault detection method, a device, equipment and a readable storage medium, wherein an electronic device can determine a first device to be detected and acquire a parameter identifier and a detection instruction corresponding to the first device. The electronic device may send a detection instruction to the first device, and receive a detection result corresponding to the detection instruction sent by the first device, where the detection result includes a parameter value corresponding to the parameter identifier. The electronic device may determine a failure detection result of the first device according to the parameter value. Because the first equipment can be subjected to fault detection through the electronic equipment, compared with the first equipment which is manually subjected to fault detection, the efficiency of fault detection is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of a fault detection method according to an embodiment of the present application;
fig. 3 is a schematic diagram of a preset database according to an embodiment of the present application;
fig. 4 is a flow chart of another fault detection method according to an embodiment of the present application;
FIG. 5 is a schematic flow chart of generating a workflow for fault detection according to an embodiment of the present application;
FIG. 6 is a schematic diagram I of a creation page provided in an embodiment of the present application;
FIG. 7 is a second schematic diagram of creating a page according to an embodiment of the present application;
FIG. 8 is a schematic diagram of a parameter identification page provided in an embodiment of the present application;
FIG. 9 is a schematic diagram of a parameter identifier editing page provided in an embodiment of the present application;
FIG. 10 is a schematic diagram of a failure detection workflow provided by an embodiment of the present application;
fig. 11 is a schematic structural diagram of a fault detection device according to an embodiment of the present application;
fig. 12 is a schematic structural diagram of another fault detection device according to an embodiment of the present disclosure;
fig. 13 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application. Referring to fig. 1, an electronic device 101 and a first device 102 are included. The electronic device 101 and the first device 102 may communicate with each other.
If the first device 102 is a network device to be detected, the electronic device 101 may acquire the parameter identifier and the detection instruction corresponding to the first device 102, and send the detection instruction to the first device 102.
The first device 102 may generate a detection result in response to the detection instruction, and transmit the detection result to the electronic device 101. The electronic device 101 may determine a failure detection result of the first device 102 according to the detection result.
In the related art, fault detection is typically performed on a network device by an expert according to experience to determine a fault detection result of the network device. However, in the above-described process, manual detection takes a long time and highly depends on personal experience, resulting in inefficiency in detecting a failure of the network device.
In the embodiment of the application, the electronic device may determine the first device to be detected, and acquire the parameter identifier and the detection instruction corresponding to the first device. The electronic device may send a detection instruction to the first device, and receive a detection result corresponding to the detection instruction sent by the first device, where the detection result includes a parameter value corresponding to the parameter identifier, so that a fault detection result of the first device may be determined according to the parameter value. Because the first equipment can be subjected to fault detection through the electronic equipment, compared with the first equipment which is manually subjected to fault detection, the efficiency of fault detection is improved.
The technical scheme shown in the application is described in detail through specific embodiments. It should be noted that the following embodiments may exist alone or in combination with each other, and for the same or similar content, the description will not be repeated in different embodiments.
Fig. 2 is a flow chart of a fault detection method according to an embodiment of the present application. Referring to fig. 2, the method may include:
s201, determining a first device to be detected.
The execution body of the embodiment of the application may be an electronic device, or may be a fault detection device provided in the electronic device. The fault detection means may be implemented by software or by a combination of software and hardware. The fault detection means may be a processor in the electronic device. For ease of understanding, hereinafter, an execution body will be described as an example of an electronic device.
The first device may be a network device providing network services for the terminal device. The first device may be a network device such as a mobility management entity (Mobility Management Entity, MME), a home subscriber server (Home Subscriber Server, HSS), or the like. The terminal equipment can be electronic equipment such as a mobile phone, a computer and the like.
Alternatively, the number of first devices may be at least one.
In an alternative embodiment, the electronic device may determine the first device to be detected according to the network service used by the terminal device.
For example, if The network service used by The terminal device is a fourth generation mobile communication technology (The 4th Generation Mobile Communication Technolog,4G) service, it may be determined that The first device is a network device such as MME or HSS.
S202, acquiring a parameter identifier and a detection instruction corresponding to the first equipment.
The parameter identifier corresponding to the first device may be at least one. For example, the parameter identifier corresponding to the first device may include a serving base station, a base station connection state, a base station configuration, and so on.
The detection instruction may include a plurality of instructions that may have a sequential relationship therebetween.
For example, if the first device is an MME device, the detection instructions corresponding to the first device may include 5 instructions. The instruction 1 may be "acquire a serving base station corresponding to the first device"; the instruction 2 may be "acquire a connection state of the first device and the serving base station"; instruction 3 may be "determine whether the base station is within the tracking area configured by the first device"; instruction 4 may be "determine connectivity between MME and HSS"; instruction 5 may be "query for a signed virtual private dial-up network". In the detection instruction, the execution order may be instruction 1, instruction 2, instruction 3, instruction 4, and instruction 5 in this order.
Alternatively, there may be no sequential relationship between multiple ones of the detected instructions. For example, if the first device is an HSS device, the detection instruction corresponding to the first device may include 2 instructions. Wherein, the instruction 1 may be "detecting the number attribution of the terminal device in the first device"; instruction 2 may be "detect quality of service (Quality of Service, qoS) configuration of the terminal device in the first device". In the detection instruction, the execution order of the instruction 1 and the instruction 2 may be indiscriminate.
In an alternative embodiment, the parameter identifier and the detection instruction corresponding to the first device may be obtained by: acquiring a configuration file corresponding to the first equipment type from a preset database; and acquiring a parameter identifier and a detection instruction corresponding to the first equipment from the configuration file.
The first device type may be a device type corresponding to the first device.
Alternatively, a plurality of device types and configuration files may be correspondingly stored in the preset database.
Next, a description will be given of a preset database with reference to fig. 3.
Fig. 3 is a schematic diagram of a preset database according to an embodiment of the present application. Referring to fig. 3, the preset database may include a plurality of device types and corresponding configuration files. For example, the preset database may include device type 1 and corresponding profile 1, device type 2 and corresponding profiles 2, … …, device type n and corresponding profile n. For any configuration file, the configuration file can include a parameter identifier and a detection instruction corresponding to the first device.
Optionally, the detection instruction may include a plurality of instructions, and each instruction and the parameter identifier may be in one-to-one correspondence.
The electronic device may determine a device type of the first device, and if the device type of the first device is the first device type, the electronic device may obtain a configuration file corresponding to the first device type from a preset database. For example, if the first device is an MME device and the device type of the first device is MME, the electronic device may obtain a configuration file corresponding to the MME in a preset database, where the configuration file may include a parameter identifier and a detection instruction corresponding to the MME.
S203, sending a detection instruction to the first device.
Optionally, the electronic device may send the detection instruction to the first device through a network such as a 4G network, a 5G network, or a local area network, so that the first device executes the detection instruction. The detection instruction can comprise an instruction corresponding to a plurality of parameter identifiers.
For example, if the first device is an HSS device, the parameter identifier 1 corresponding to the first device is a number home location of the terminal device, and the parameter identifier 2 is QoS configuration of the terminal device, and the detection instruction corresponding to the first device may include 2 instructions. The instruction 1 is an instruction for detecting the number attribution of the terminal equipment in the first equipment, namely the instruction corresponding to the parameter identification 1; the instruction 2 is "detecting QoS configuration of the terminal device in the first device", that is, an instruction corresponding to the parameter identifier 2. The electronic device may send the detection instruction to the HSS device to cause the HSS device to execute instruction 1 and instruction 2 of the detection instruction.
S204, receiving a detection result corresponding to the detection instruction sent by the first device, wherein the detection result comprises a parameter value corresponding to the parameter identifier.
Because the detection instruction comprises a plurality of instructions, each instruction corresponds to the parameter identification one by one. After the first device executes the plurality of instructions in the detection instruction, parameter values corresponding to the plurality of parameter identifiers can be obtained, and a detection result is generated according to the parameter values corresponding to the plurality of parameter identifiers.
The first device may send a detection result to the electronic device, so that the electronic device receives the detection result, and the detection result may include parameter values corresponding to the plurality of parameter identifiers.
For example, if the first device is an HSS device, the parameter identifier corresponding to the first device includes a number home location of the terminal device and QoS configuration of the terminal device, and the detection instruction corresponding to the first device may include 2 instructions. Wherein, the instruction 1 is "detecting the number attribution of the terminal device in the first device"; instruction 2 is "detect QoS configuration of terminal device in first device". The electronic device may send the detection instruction to the first device, and after the first device receives the detection instruction, the first device may execute the instruction 1 to detect that the number of the terminal device belongs to the location 1, and may execute the instruction 2 to detect that the QoS of the terminal device is configured as QoS-2. The first device may generate a detection result corresponding to the detection instruction according to the "location 1" and the "QoS-2", and send the detection result to the electronic device, so that the electronic device receives the detection result sent by the first device, where the detection result may include the "location 1" and the "QoS-2".
S205, determining a fault detection result of the first device according to the parameter value.
In an alternative embodiment, the fault detection result of the first device may be determined by: determining a plurality of preset modes of the first device; acquiring a preset parameter set of the first equipment in each preset mode to obtain a plurality of preset parameter sets, wherein the preset parameter sets comprise a plurality of preset parameter values; determining the similarity between the parameter value and each preset parameter set; and determining a fault detection result of the first equipment according to the similarity between the parameter value and each preset parameter set.
Alternatively, the preset mode may be a mode preconfigured for the first device according to a device type of the first device.
Optionally, a plurality of preset modes corresponding to the first device may be displayed in the electronic device.
The preset modes of the first device may include a normal mode and a plurality of fault modes. For example, the preset modes of the first device may include a normal mode, a failure mode 1, failure modes 2, … …, failure mode m.
For any one preset mode, the preset mode has a corresponding preset parameter set, and the preset parameter set can comprise a plurality of preset parameter values. The plurality of preset parameter values are preset parameter values corresponding to the plurality of parameter identifiers.
For example, if the parameter identifiers corresponding to the first device have 5 parameter identifiers, the preset parameter set 1 of the first device in the preset mode 1 may include 5 preset parameter values, where the 5 preset parameter values may be preset parameter values corresponding to the 5 parameter identifiers.
Alternatively, a plurality of preset modes of the first device and a preset parameter set in each preset mode may be stored in a preset database correspondingly for subsequent use.
The electronic device may determine a plurality of preset modes of the first device, and obtain a preset parameter set of the first device in each preset mode.
For example, if the first device is an MME device, the first device has 3 preset modes, which are a normal mode, a fault mode 1, and a fault mode 2, respectively, where the normal mode may correspond to the preset parameter set 1, the fault mode 1 may correspond to the preset parameter set 2, and the fault mode 2 may correspond to the preset parameter set 3. The electronic device may obtain the normal mode of the first device and the corresponding preset parameter set 1, the fault mode 1 and the corresponding preset parameter set 2, and the fault mode 2 and the corresponding preset parameter set 3.
Optionally, after determining the plurality of preset parameter sets, the electronic device may determine a similarity between the parameter value and each preset parameter set, and determine a fault detection result of the first device according to the similarity between the parameter value and each preset parameter set.
For example, if the first device is an MME device, the first device has 3 preset modes, which are a normal mode, a failure mode 1, and a failure mode 2, where the normal mode corresponds to the preset parameter set 1, the failure mode 1 corresponds to the preset parameter set 2, and the failure mode 2 corresponds to the preset parameter set 3. The electronic device may determine the similarity between the parameter value in the detection result and the preset parameter set 1, the preset parameter set 2 and the preset parameter set 3, and determine the fault detection result of the first device according to the similarity between the parameter value and the 3 preset parameter sets.
In the embodiment of the application, the electronic device may determine the first device to be detected, and acquire the parameter identifier and the detection instruction corresponding to the first device. The electronic device may send a detection instruction to the first device, and receive a detection result corresponding to the detection instruction sent by the first device, where the detection result includes a parameter value corresponding to the parameter identifier. The electronic device may determine a failure detection result of the first device according to the parameter value. Because the first equipment can be subjected to fault detection through the electronic equipment, compared with the first equipment which is manually subjected to fault detection, the efficiency of fault detection is improved.
The above-described fault detection method will be further described below on the basis of the embodiment shown in fig. 2.
Fig. 4 is a flow chart of another fault detection method provided in the embodiment of the present application, please refer to fig. 4, which may include:
s401, the electronic device determines a first device to be detected.
It should be noted that, the execution process of step S401 may refer to step S201, and will not be described herein.
S402, the electronic equipment acquires a parameter identifier and a detection instruction corresponding to the first equipment.
It should be noted that, the execution process of step S402 may refer to step S202, and will not be described herein.
S403, the electronic device sends a detection instruction to the first device.
It should be noted that, the execution process of step S403 may refer to step S203, and will not be described herein.
S404, the first device determines a detection result corresponding to the detection instruction.
Optionally, after receiving the detection instruction, the first device may execute a plurality of instructions in the detection instruction to obtain parameter values corresponding to the parameter identifiers, and generate a detection result according to the parameter values corresponding to the plurality of parameter identifiers.
For example, if the first device is an HSS device, the parameter identifier corresponding to the first device includes a number home location of the terminal device and QoS configuration of the terminal device, and the detection instruction corresponding to the first device may include 2 instructions. Wherein, the instruction 1 is "detecting the number attribution of the terminal device in the first device"; instruction 2 is "detect QoS configuration of terminal device in first device". The electronic device may send the detection instruction to the first device, and after the first device receives the detection instruction, the first device may execute the instruction 1 to detect the number attribution of the terminal device, to obtain the parameter value 1 as the location 1, and may execute the instruction 2 to detect the QoS configuration of the terminal device, to obtain the parameter value 2 as the QoS-2. The first device may generate a detection result corresponding to the detection instruction according to the "location 1" and the "QoS-2", where the detection result may include parameter values corresponding to the plurality of parameter identifiers.
S405, the first device sends a detection result corresponding to the detection instruction to the electronic device.
Optionally, the first device may send the detection result to the electronic device through a network such as a 4G network, a 5G network, or a local area network.
S406, the electronic device determines a plurality of preset modes of the first device.
Optionally, the electronic device may determine a plurality of preset modes of the first device, the plurality of preset modes including a normal mode and a plurality of failure modes.
For example, if the first device is an MME device, the first device has 3 preset modes, namely a normal mode, a failure mode 1, and a failure mode 2, respectively, the electronic device may determine the 3 preset modes of the first device.
S407, the electronic device acquires a preset parameter set of the first device in each preset mode.
For any one preset parameter set, the preset parameter set may include a plurality of preset parameter values. The plurality of preset parameter values are preset parameter values corresponding to the plurality of parameter identifiers.
For example, if the first device is an MME device, the first device has a normal mode, a failure mode 1, and a failure mode 2, the electronic device may obtain a preset parameter set 1 of the first device in the normal mode, a preset parameter set 2 of the first device in the failure mode 1, and a preset parameter set 3 of the first device in the failure mode 2.
S408, the electronic equipment determines the similarity between the parameter value and each preset parameter set.
Optionally, after determining the plurality of preset parameter sets, the electronic device determines a similarity between the parameter value and each preset parameter set.
For example, if the first device is an MME device, the first device has 3 preset modes, which are a normal mode, a failure mode 1, and a failure mode 2, where the normal mode corresponds to the preset parameter set 1, the failure mode 1 corresponds to the preset parameter set 2, and the failure mode 2 corresponds to the preset parameter set 3. The electronic device may determine the similarity between the parameter value in the detection result and the preset parameter set 1, the preset parameter set 2 and the preset parameter set 3.
Specifically, assuming that the detection result includes 5 parameter values, which are a parameter value 1, a parameter value 2, a parameter value 3, a parameter value 4, and a parameter value 5, and the preset parameter set 1 includes a preset parameter value a, a preset parameter value b, a preset parameter value c, a preset parameter value d, and a preset parameter value e, if the parameter value 1 is equal to the preset parameter value a, the parameter value 2 is equal to the preset parameter value b, the parameter value 3 is equal to the preset parameter value c, the parameter value 4 is not equal to the preset parameter value d, and the parameter value 5 is not equal to the preset parameter value e, the similarity between the plurality of parameter values and the preset parameter set 1 may be determined to be 60%. Similarly, the similarity between the plurality of parameter values and the preset parameter set 2 and the preset parameter set 3 can be determined to be 70% and 90%, respectively.
S409, the electronic device determines a fault detection result of the first device according to the similarity between the parameter value and each preset parameter set.
In an alternative embodiment, the fault detection result of the first device may be determined by: determining a target parameter set in a plurality of preset parameter sets according to the similarity between the parameter value and each preset parameter set; and determining a fault detection result according to a preset mode corresponding to the target parameter set.
Optionally, the similarity between the target parameter set and the parameter value is maximized.
For example, if the electronic device determines that the similarity between the plurality of parameter values in the detection result and the preset parameter set 1 is 60%, the similarity between the plurality of parameter values and the preset parameter set 2 is 70%, and the similarity between the plurality of parameter values and the preset parameter set 3 is 90%, the preset parameter set 3 may be determined as the target parameter set because the similarity between the plurality of parameter values and the preset parameter set 3 is the largest.
Optionally, after the target parameter set is determined, the fault detection result may be determined according to a preset mode corresponding to the target parameter set.
For example, if the target parameter set is the preset parameter set 3, and the preset parameter set 3 corresponds to the fault mode 2, it may be determined that the fault detection result corresponding to the first device is the fault 2 according to the fault mode 2.
Optionally, after the fault detection result is obtained, parameter values corresponding to a plurality of parameter identifiers of the first device under the fault and the fault detection result may be stored in a preset database.
In the embodiment of the application, the electronic device may determine the first device to be detected, and acquire the parameter identifier and the detection instruction corresponding to the first device. The electronic device may send a detection instruction to the first device, and the first device may send a detection result corresponding to the detection instruction to the electronic device. After the electronic device obtains the plurality of parameters in the detection result, a plurality of preset modes of the first device can be determined, and a preset parameter set of the first device in each preset mode is obtained. The electronic device may determine a similarity between the parameter value and each preset parameter set, and determine a fault detection result of the first device according to the similarity between the parameter value and each preset parameter set. Because a plurality of preset modes can be preset for the first equipment, the electronic equipment can determine the similarity between the electronic equipment and the preset parameter set under each preset mode according to a plurality of parameter values in the detection result, so that the fault detection result of the first equipment is determined, and compared with manual detection, the efficiency of fault detection is improved.
Optionally, in actual work, the electronic device may have a fault detection platform, the fault detection platform may include a fault detection workflow, the fault detection workflow may include a plurality of components, a user may click a first component corresponding to a first device to be detected in the fault detection platform, and then the electronic device may respond to a click operation of the user and send a detection instruction to the first device to obtain a detection result.
Next, a process of generating a failure detection workflow will be described with reference to fig. 5 on the basis of any of the above embodiments.
Fig. 5 is a schematic flow chart of generating a fault detection workflow according to an embodiment of the present application. Referring to fig. 5, the method may include:
s501, displaying a creation page.
Optionally, a fault detection platform may be included in the electronic device. Creation controls may be included in the fault detection platform.
The electronic device may display the creation page in response to a click operation of the creation control by the worker.
The creation page may include a component list area and a component display area. The component list area may include a plurality of components, which may include a device type component and a processing engine component, and the component display area may be used to display the selected plurality of components.
The device type components may include device type components corresponding to a variety of devices. For example, the device type component may be an MME component, an HSS component, or the like.
The engine components may include a detection engine component and a processing engine component.
Next, the creation page will be described with reference to fig. 6.
Fig. 6 is a schematic diagram of creating a page according to an embodiment of the present application. Referring to fig. 6, a component list area and a component display area may be included in the creation page. The component list area may include a plurality of components, which may include a device type component and a processing engine component. For example, an MME component, HSS component, etc. may be included in the device type component.
S502, responding to the selected operation of the components in the component list area, and displaying the components in the component display area.
For any one of the components, the electronic device may display the selected component in the component display area in response to a selected operation on the component. For example, the MME component may be selected, and the electronic device may display the MME component in the component display area in response to the selection operation of the MME component.
Fig. 7 is a schematic diagram ii of a creation page provided in an embodiment of the present application, referring to fig. 7, a user may select an MME component, an HSS component, a domain name system (Domain Name System, DNS) component, and a gateway general packet radio service (General packet radio service, GPRS) support node (Gateway GPRS Support Node, GGSN) component, and then the electronic device may display the selected MME component, HSS component, DNS component, and GGSN component in a component display area in response to a selection operation of the multiple components.
S503, responding to clicking operation of a first component in the plurality of components, determining that the equipment type corresponding to the first component is a first equipment type, and displaying a parameter identification page corresponding to the first equipment type.
Optionally, the user may perform a click operation on a first component of the plurality of components, and the electronic device may determine a device type corresponding to the first component in response to the click operation on the first component of the plurality of components. If the device type corresponding to the first component is the first device type, the electronic device may display a parameter identification page corresponding to the first device type. The parameter identification page may include a plurality of parameter identifications. Optionally, a plurality of controls may be included on the parameter identification page.
For example, if the first component is an MME device component, the electronic device may determine that the first device type is an MME device, and the electronic device may display a parameter identification page corresponding to the MME device.
Next, a description will be given of a parameter identification page with reference to fig. 8.
Fig. 8 is a schematic diagram of a parameter identification page provided in an embodiment of the present application, and referring to fig. 8, the parameter identification page may include a plurality of parameter identifications and a plurality of controls. For example, the parameter identification page may include a parameter identification 1 and a parameter identification 2, where the parameter identification 1 may be a serving base station and the parameter identification 2 may be a base station connection state. The plurality of controls can be an added control, a filtered control, a deleted control and the like.
S504, responding to editing operation of a plurality of parameter identifiers, acquiring the parameter identifier corresponding to the first equipment type, and adding the parameter identifier corresponding to the first equipment type into a configuration file corresponding to the first equipment type.
Optionally, the newly added control may be clicked, and the electronic device may add the parameter identifier in response to a clicking operation on the newly added control.
Optionally, for any parameter identifier, the parameter identifier may be selected in the parameter identifier page, and then the electronic device may respond to the selection operation of the parameter identifier to display a parameter identifier editing page corresponding to the parameter identifier.
For example, if the parameter identification page is shown in fig. 8, the parameter identification 2, that is, the base station connection state, may be clicked on the parameter identification page, and the electronic device may display a corresponding parameter identification editing page in response to the clicking operation on the parameter identification, as shown in fig. 9.
Fig. 9 is a schematic diagram of a parameter identification editing page provided in an embodiment of the present application. Referring to fig. 9, the parameter identification editing page may include a plurality of input controls, which may be a parameter identification input control, a preset parameter value input control, a device type input control, and a profile input control. For example, "base station connection status" may be input in the parameter identification input control, "1" may be input in the preset parameter value input control (1 indicates that the base station connection status is connected), "MME" may be input in the device type input control, and "profile 1" may be input in the profile input control.
Optionally, the determining control may be clicked, so that the electronic device obtains the parameter identifier 2 corresponding to the first device type, and then the electronic device may determine that the parameter identifier 2 corresponding to the first device type is a base station connection state, a preset parameter value is 1, and the first device type is an MME and may be stored in the configuration file 1.
Optionally, the electronic device may acquire a plurality of parameter identifiers corresponding to the first device type, and add the plurality of parameter identifiers corresponding to the first device type to a configuration file corresponding to the first device type.
For example, if the first device type is MME device, corresponding to parameter identifier 1 and parameter identifier 2, parameter identifier 1 may be a serving base station, and parameter identifier 2 may be a base station connection state, the electronic device may determine parameter identifier 1 and parameter identifier 2 corresponding to the MME device, and add parameter identifier 1 and parameter identifier 2 to configuration file 1 corresponding to the MME device.
S505, acquiring preset parameter sets in a plurality of preset modes according to the parameter identifiers corresponding to the first equipment type, and adding the preset parameter sets into the configuration files corresponding to the first equipment type.
Because a plurality of parameter identifiers can be newly added in the parameter identifier page, and each parameter identifier can be edited in the parameter identifier editing page, a plurality of preset modes can be preset for the first equipment type, each preset mode can comprise preset parameter values corresponding to the plurality of parameter identifiers, and then a preset parameter set in each preset mode can be obtained.
For example, if the first device type is MME device, the corresponding parameter identifier may include a serving base station, and a base station connection state. 3 preset modes can be preset for the MME equipment, the preset mode 1 corresponds to a preset parameter set 1, and the preset parameter set 1 can comprise a preset parameter value corresponding to a service base station as a base station a and a preset parameter value corresponding to a base station connection state as 1; the preset mode 2 may correspond to a preset parameter set 2, where the preset parameter set 2 may include that a preset parameter value corresponding to the serving base station is base station a, and a preset parameter value corresponding to the base station connection state is 0 (0 indicates that the base station connection state is disconnected); the preset mode 3 may correspond to a preset parameter set 3, where the preset parameter set 3 may include a preset parameter value corresponding to the serving base station being a base station b and a preset parameter value corresponding to a base station connection state being 0.
Optionally, a preset parameter set in a plurality of preset modes may be added to a configuration file corresponding to the first device type.
S506, determining a detection instruction corresponding to the first equipment type according to the first equipment type, and adding the detection instruction into a configuration file corresponding to the first equipment type.
Optionally, the electronic device may determine the first device type, determine a plurality of parameter identifiers corresponding to the first device type according to the first device type, and further determine the detection instruction corresponding to the first device type according to the plurality of parameter identifiers.
For example, if the first device type is MME device, the electronic device may determine, according to the MME device, a plurality of parameter identifiers corresponding to the MME device. Assuming that the plurality of parameter identifiers corresponding to the MME equipment comprise a parameter identifier 1 and a parameter identifier 2, wherein the parameter identifier 1 can be a service base station, and the parameter identifier 2 can be a base station connection state, the electronic equipment can determine that the instruction 1 is "obtaining the service base station corresponding to the first equipment" according to the parameter identifier 1, namely "the service base station"; the instruction 2 may be determined to be "obtaining the connection state of the first device and the serving base station" according to the parameter identifier 2, i.e. "base station connection state". The electronic device may generate a detection instruction corresponding to the first device type according to the instruction 1 and the instruction 2.
Optionally, after determining the detection instruction corresponding to the first device type, the detection instruction may be added to the configuration file corresponding to the first device type.
Optionally, the first device type and the configuration file may be stored in a preset database, so that when the first device is subjected to fault detection, the corresponding configuration file may be determined in the preset database according to the first device type corresponding to the first device, so that the parameter identifier and the detection instruction corresponding to the first device are determined in the configuration file.
S507, generating a fault detection workflow according to configuration files corresponding to the components and the device types.
Alternatively, the configuration operation and the arrangement operation may be performed on the plurality of first components in the component display area, and the electronic device may generate the failure detection workflow in response to the operation on the plurality of first components.
Next, a failure detection workflow will be described with reference to fig. 10.
Fig. 10 is a schematic diagram of a fault detection workflow provided in an embodiment of the present application. Referring to fig. 10, a start component, an MME component, an HSS component, a DNS component, and a GGSN component, a detection engine component, a processing engine component, and an end component may be included in the failure detection workflow.
In the fault detection workflow, a configuration file corresponding to the equipment type can be configured in the equipment type component; the detection engine component associated with the equipment type component can determine a detection instruction corresponding to the equipment type in a configuration file of the equipment type component; the processing engine component may be provided with a similarity algorithm, so that the electronic device may determine the similarity according to a plurality of parameter values in the detection result and a preset parameter set in a preset mode corresponding to the first device type, and further determine a fault detection result of the first device to be detected according to the similarity.
Optionally, the electronic device may perform inspection on the plurality of first devices according to the fault detection workflow, so as to determine fault detection results of the plurality of first devices.
It should be noted that, the specific implementation process of determining the fault detection result may refer to the embodiment shown in fig. 2 or fig. 4, and will not be described herein.
Optionally, a plurality of preset modes corresponding to the first device type may be displayed in the electronic device. If the parameter value detected when the first equipment fails is consistent with a plurality of preset parameter values in a preset parameter set in a preset mode, the first equipment failure is consistent with the preset mode, and the preset mode is accurate. The worker may score the preset pattern.
If the parameter value detected when the first equipment fails has larger phase difference with a plurality of preset parameter values in a preset parameter set in a preset mode, the fault of the first equipment is inconsistent with the preset mode, the preset mode is inaccurate, and staff can subtract the preset mode. If a certain preset mode is lower than the score preset threshold, a worker can adjust and optimize the preset parameter set in the preset mode so as to improve the accuracy of the preset mode.
In the embodiment of the application, the electronic device may display a creation page, and may display the plurality of components in the component display area in response to a selected operation on the plurality of components in the component list area. The electronic device may determine, in response to a click operation performed on a first component of the plurality of components, that a device type corresponding to the first component is a first device type, and display a parameter identification page corresponding to the first device type. The electronic equipment can respond to the editing operation of the plurality of parameter identifiers, acquire the parameter identifier corresponding to the first equipment type, and add the parameter identifier corresponding to the first equipment type into the configuration file corresponding to the first equipment type; the electronic equipment can acquire preset parameter sets in a plurality of preset modes according to the parameter identifiers corresponding to the first equipment type, and the preset parameter sets are added into the configuration files corresponding to the first equipment type; the electronic device may determine a first device type, determine a corresponding detection instruction according to the first device type, and add the detection instruction to a configuration file corresponding to the first device type. The electronic device may generate a failure detection workflow according to the plurality of components and the configuration files corresponding to the plurality of device types. Because the electronic equipment can carry out fault detection on various first equipment according to the fault detection workflow, compared with manual fault detection on the first equipment, the efficiency of fault detection is improved.
Fig. 11 is a schematic structural diagram of a fault detection device provided in the embodiment of the present application, please refer to fig. 11, and the fault detection device 10 includes: a first determination module 11, an acquisition module 12, a transmission module 13, a reception module 14 and a second determination module 15, wherein,
the first determining module 11 is configured to determine a first device to be detected;
the acquiring module 12 is configured to acquire a parameter identifier and a detection instruction corresponding to the first device;
the sending module 13 is configured to send the detection instruction to the first device;
the receiving module 14 is configured to receive a detection result corresponding to the detection instruction sent by the first device, where the detection result includes a parameter value corresponding to the parameter identifier;
the second determining module 15 is configured to determine a fault detection result of the first device according to the parameter value.
The fault detection device provided in the embodiment of the present application may execute the technical solution shown in the foregoing method embodiment, and its implementation principle and beneficial effects are similar, and will not be described in detail herein.
In a possible embodiment, the second determining module 15 is specifically configured to:
determining a plurality of preset modes of the first device, wherein the plurality of preset modes comprise a normal mode and a plurality of fault modes;
Acquiring a preset parameter set of the first equipment in each preset mode to obtain a plurality of preset parameter sets, wherein the preset parameter sets comprise a plurality of preset parameter values;
determining the similarity between the parameter value and each preset parameter set;
and determining a fault detection result of the first equipment according to the similarity between the parameter value and each preset parameter set.
In a possible embodiment, the second determining module 15 is specifically configured to:
determining a target parameter set in the plurality of preset parameter sets according to the similarity between the parameter value and each preset parameter set, wherein the similarity between the target parameter set and the parameter value is the largest;
and determining the fault detection result according to a preset mode corresponding to the target parameter set.
In one possible implementation, the obtaining module 12 is specifically configured to:
acquiring a configuration file corresponding to the first equipment type from a preset database;
and acquiring a parameter identifier and a detection instruction corresponding to the first equipment from the configuration file.
The fault detection device provided in the embodiment of the present application may execute the technical solution shown in the foregoing method embodiment, and its implementation principle and beneficial effects are similar, and will not be described in detail herein.
Fig. 12 is a schematic structural diagram of another fault detection device according to an embodiment of the present application. On the basis of the fault detection device 10 shown in fig. 11, the fault detection device may further include: a display module 16, a response module 17 and a third determination module 18, wherein,
the display module 16 is configured to display a parameter identification page corresponding to a first device type, where the first device type is a device type corresponding to the first device, and the parameter identification page includes a plurality of parameter identifications;
the response module 17 is configured to obtain a parameter identifier corresponding to the first device type in response to an editing operation on the plurality of parameter identifiers, and add the parameter identifier corresponding to the first device type to a configuration file corresponding to the first device type.
In one possible implementation, the display module 16 is further configured to:
displaying a creation page, wherein the creation page comprises a component list area and a component display area;
displaying a plurality of components in a component display area in response to a selected operation on the plurality of components in the component list area;
and responding to clicking operation performed on a first component in the plurality of components, determining that the equipment type corresponding to the first component is the first equipment type, and displaying the parameter identification page corresponding to the first equipment type.
In one possible implementation, the third determining module 18 is configured to:
determining the first device type;
and determining a detection instruction corresponding to the first equipment type according to the first equipment type, and adding the detection instruction into a configuration file corresponding to the first equipment type.
The fault detection device provided in the embodiment of the present application may execute the technical solution shown in the foregoing method embodiment, and its implementation principle and beneficial effects are similar, and will not be described in detail herein.
An embodiment of the present application provides a schematic structural diagram of an electronic device, referring to fig. 13, the electronic device 20 may include a processor 21 and a memory 22. The processor 21, the memory 22, and the like are illustratively interconnected by a bus 23.
The memory 22 stores computer-executable instructions;
the processor 21 executes computer-executable instructions stored in the memory 22, causing the processor 21 to perform the fault detection method as shown in the method embodiments described above.
All or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a readable memory. The program, when executed, performs steps including the method embodiments described above; and the aforementioned memory (storage medium) includes: read-only memory (ROM), RAM, flash memory, hard disk, solid state disk, magnetic tape, floppy disk, optical disk, and any combination thereof.
Embodiments of the present application provide a computer readable storage medium having stored therein computer executable instructions for implementing the fault detection method described in the above method embodiments when the computer executable instructions are executed by a processor.
Embodiments of the present application may also provide a computer program product, including a computer program, which, when executed by a processor, may implement the fault detection method shown in the foregoing method embodiments.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to encompass such modifications and variations.
In the present application, the term "include" and variations thereof may refer to non-limiting inclusion; the term "or" and variations thereof may refer to "and/or". The terms "first," "second," and the like in this application are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. In the present application, "plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
Claims (10)
1. A method of fault detection, the method comprising:
determining a first device to be detected;
acquiring a parameter identifier and a detection instruction corresponding to the first equipment;
Sending the detection instruction to the first equipment;
receiving a detection result corresponding to the detection instruction sent by the first device, wherein the detection result comprises a parameter value corresponding to the parameter identifier;
and determining a fault detection result of the first equipment according to the parameter value.
2. The method of claim 1, wherein determining a fault detection result for the first device based on the parameter value comprises:
determining a plurality of preset modes of the first device, wherein the plurality of preset modes comprise a normal mode and a plurality of fault modes;
acquiring a preset parameter set of the first equipment in each preset mode, wherein the preset parameter set comprises a plurality of preset parameter values;
determining the similarity between the parameter value and each preset parameter set;
and determining a fault detection result of the first equipment according to the similarity between the parameter value and each preset parameter set.
3. The method of claim 2, wherein determining the fault detection result of the first device according to the similarity between the parameter value and each preset parameter set comprises:
determining a target parameter set in the plurality of preset parameter sets according to the similarity between the parameter value and each preset parameter set, wherein the similarity between the target parameter set and the parameter value is the largest;
And determining the fault detection result according to a preset mode corresponding to the target parameter set.
4. The method according to claim 1, wherein the method further comprises:
displaying a parameter identification page corresponding to a first equipment type, wherein the first equipment type is the equipment type corresponding to the first equipment, and the parameter identification page comprises a plurality of parameter identifications;
and responding to the editing operation of the plurality of parameter identifiers, acquiring the parameter identifier corresponding to the first equipment type, and adding the parameter identifier corresponding to the first equipment type into the configuration file corresponding to the first equipment type.
5. The method of claim 4, wherein displaying the parameter identification page corresponding to the first device type comprises:
displaying a creation page, wherein the creation page comprises a component list area and a component display area;
displaying a plurality of components in a component display area in response to a selected operation on the plurality of components in the component list area;
and responding to clicking operation performed on a first component in the plurality of components, determining that the equipment type corresponding to the first component is the first equipment type, and displaying the parameter identification page corresponding to the first equipment type.
6. The method according to claim 1, wherein the method further comprises:
determining the first device type;
and determining a detection instruction corresponding to the first equipment type according to the first equipment type, and adding the detection instruction into a configuration file corresponding to the first equipment type.
7. The method according to claim 5 or 6, wherein obtaining the parameter identifier and the detection instruction corresponding to the first device includes:
acquiring a configuration file corresponding to the first equipment type from a preset database;
and acquiring a parameter identifier and a detection instruction corresponding to the first equipment from the configuration file.
8. A fault detection device, comprising: the device comprises a first determining module, an acquiring module, a transmitting module, a receiving module and a second determining module, wherein,
the first determining module is used for determining first equipment to be detected;
the acquisition module is used for acquiring the parameter identification and the detection instruction corresponding to the first equipment;
the sending module is used for sending the detection instruction to the first equipment;
the receiving module is used for receiving a detection result corresponding to the detection instruction sent by the first device, wherein the detection result comprises a parameter value corresponding to the parameter identifier;
The second determining module is used for determining a fault detection result of the first device according to the parameter value.
9. An electronic device, comprising: a processor and a memory;
the memory stores computer-executable instructions;
the processor executing computer-executable instructions stored in the memory, causing the processor to perform the fault detection method of any one of claims 1 to 7.
10. A computer readable storage medium having stored therein computer executable instructions for implementing the fault detection method of any of claims 1 to 7 when the computer executable instructions are executed by a processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211686358.5A CN116132270A (en) | 2022-12-27 | 2022-12-27 | Fault detection method, device, equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211686358.5A CN116132270A (en) | 2022-12-27 | 2022-12-27 | Fault detection method, device, equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116132270A true CN116132270A (en) | 2023-05-16 |
Family
ID=86307300
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211686358.5A Pending CN116132270A (en) | 2022-12-27 | 2022-12-27 | Fault detection method, device, equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116132270A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170078175A1 (en) * | 2014-05-26 | 2017-03-16 | Huawei Technologies Co., Ltd. | Service chain fault detection method and apparatus |
| CN109150587A (en) * | 2018-07-25 | 2019-01-04 | 新华三信息安全技术有限公司 | A kind of maintaining method and device |
| CN110784355A (en) * | 2019-10-30 | 2020-02-11 | 网宿科技股份有限公司 | Fault identification method and device |
| CN110851296A (en) * | 2019-10-29 | 2020-02-28 | 北京海益同展信息科技有限公司 | Fault detection method and device and storage medium |
| CN111459700A (en) * | 2020-04-07 | 2020-07-28 | 华润电力技术研究院有限公司 | Method and apparatus for diagnosing device failure, diagnostic device, and storage medium |
| CN111831569A (en) * | 2020-07-22 | 2020-10-27 | 平安普惠企业管理有限公司 | Test method and device based on fault injection, computer equipment and storage medium |
| CN113839825A (en) * | 2020-06-23 | 2021-12-24 | 青岛海尔智能技术研发有限公司 | Equipment fault detection method, system, device, computer equipment and storage medium |
-
2022
- 2022-12-27 CN CN202211686358.5A patent/CN116132270A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170078175A1 (en) * | 2014-05-26 | 2017-03-16 | Huawei Technologies Co., Ltd. | Service chain fault detection method and apparatus |
| CN109150587A (en) * | 2018-07-25 | 2019-01-04 | 新华三信息安全技术有限公司 | A kind of maintaining method and device |
| CN110851296A (en) * | 2019-10-29 | 2020-02-28 | 北京海益同展信息科技有限公司 | Fault detection method and device and storage medium |
| WO2021082644A1 (en) * | 2019-10-29 | 2021-05-06 | 北京海益同展信息科技有限公司 | Fault detection method and apparatus, and storage medium |
| CN110784355A (en) * | 2019-10-30 | 2020-02-11 | 网宿科技股份有限公司 | Fault identification method and device |
| CN111459700A (en) * | 2020-04-07 | 2020-07-28 | 华润电力技术研究院有限公司 | Method and apparatus for diagnosing device failure, diagnostic device, and storage medium |
| CN113839825A (en) * | 2020-06-23 | 2021-12-24 | 青岛海尔智能技术研发有限公司 | Equipment fault detection method, system, device, computer equipment and storage medium |
| CN111831569A (en) * | 2020-07-22 | 2020-10-27 | 平安普惠企业管理有限公司 | Test method and device based on fault injection, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110401662B (en) | Industrial control equipment fingerprint identification method and storage medium | |
| CN106844645B (en) | Power communication equipment information inquiry system | |
| CN107169094B (en) | Information aggregation method and device | |
| CN102710549B (en) | To be established a communications link the method for relation, terminal and system by shooting | |
| CN105306318A (en) | Intelligent scene configuration method and device and server | |
| CN111132027B (en) | Scene recognition network graph drawing method, scene recognition method and device | |
| CN104217169A (en) | Encryption recommendation method and device and terminal | |
| CN112566078A (en) | Device connection method and apparatus, storage medium, and electronic apparatus | |
| CN105376715B (en) | Location information acquisition methods and device | |
| CN108491424B (en) | User ID association method and device | |
| CN106656934B (en) | User identifier mapping method and device based on operator gateway log | |
| CN107995650B (en) | Method and device for acquiring neighbor cell identifier | |
| CN116132270A (en) | Fault detection method, device, equipment and readable storage medium | |
| US9998861B2 (en) | Method and device for determining service area | |
| CN110162361B (en) | Intelligent prompting method and device based on user behavior, terminal and storage medium | |
| CN108768802B (en) | Equipment information deleting method and device, server and mobile terminal | |
| CN107682271B (en) | Method and device for generating routing line | |
| CN115118631A (en) | Link exception handling method and device, electronic equipment and storage medium | |
| CN105743939A (en) | Message push method and device | |
| US10785602B2 (en) | Information processing method and apparatus | |
| CN114970495A (en) | Name disambiguation method and device, electronic equipment and storage medium | |
| KR101940802B1 (en) | System for calculating the number of the local triangular using the terminal resources and method thereof | |
| CN111131351B (en) | Method and device for confirming model of Internet of things equipment | |
| CN113742101A (en) | Data intercommunication method, device, equipment and readable storage medium | |
| CN113190946A (en) | Method and related device for displaying switch information by distribution network line distribution diagram |
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 |