CN112105045A - Communication equipment fault diagnosis method and platform - Google Patents
Communication equipment fault diagnosis method and platform Download PDFInfo
- Publication number
- CN112105045A CN112105045A CN202010949791.8A CN202010949791A CN112105045A CN 112105045 A CN112105045 A CN 112105045A CN 202010949791 A CN202010949791 A CN 202010949791A CN 112105045 A CN112105045 A CN 112105045A
- Authority
- CN
- China
- Prior art keywords
- fault
- target user
- sample
- communication equipment
- diagnosis
- 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
- 238000003745 diagnosis Methods 0.000 title claims abstract description 121
- 238000004891 communication Methods 0.000 title claims abstract description 113
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000012423 maintenance Methods 0.000 claims abstract description 30
- 238000012545 processing Methods 0.000 claims description 21
- 238000005516 engineering process Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 3
- 238000013024 troubleshooting Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 4
- 239000000284 extract Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000003190 augmentative effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Test And Diagnosis Of Digital Computers (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention provides a fault diagnosis method for communication equipment, which comprises the following steps: receiving a fault sample of the communication equipment uploaded by a target user; extracting a normal sample of the communication equipment of the target user from a preset communication equipment resource library; generating a difference sample according to a difference between the fault sample and the normal sample; inputting the difference sample into a preset fault diagnosis model for operation to obtain a diagnosis result; and feeding back the diagnosis result to the target user. The fault troubleshooting of the communication equipment is realized by the target user, the pressure of operation and maintenance personnel is relieved to a certain extent, and the user can be helped to quickly determine the equipment fault. The invention also provides a communication equipment fault diagnosis platform. The invention relates to the technical field of communication.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a fault diagnosis method and a fault diagnosis platform for communication equipment.
Background
With the advent of the 5G era, the deployment quantity of 5G home communication infrastructures (such as 5G indoor base stations and broadband contacts) is increasing, and for the maintenance of the home communication infrastructures, the existing operation and maintenance method also depends heavily on the on-door service of operation and maintenance personnel, but because the facilities such as home broadband are large and the operation and maintenance personnel are limited, the pressure of the operation and maintenance personnel is huge, and the experience of the operation and maintenance personnel is good and irregular, so that the problem of failure can not be solved quickly often.
Disclosure of Invention
The invention aims to at least solve one of the technical problems in the prior art, and provides a communication equipment fault diagnosis method and a communication equipment fault diagnosis platform, which are used for solving the problems that operation and maintenance personnel are over-stressed and cannot find out equipment faults in time in the prior art.
In a first aspect, the present invention provides a method for diagnosing a fault of a communication device, including:
receiving a fault sample of the communication equipment uploaded by a target user;
extracting a normal sample of the communication equipment of the target user from a preset communication equipment resource library;
generating a difference sample according to a difference between the fault sample and the normal sample;
inputting the difference sample into a preset fault diagnosis model for operation to obtain a diagnosis result;
and feeding back the diagnosis result to the target user.
Preferably, the diagnosis result comprises: fault level information;
while performing the step of feeding back the diagnosis result to the target user, the method further comprises:
identifying whether the fault level information in the diagnosis result is a simple fault level;
when the fault level information in the diagnosis result is identified to be a simple fault level, sending a fault processing measure corresponding to the fault to the target user so that the target user can process the fault according to the fault processing measure;
and when the fault level information in the fault diagnosis result is not the simple fault level, sending prompt information to the target user to prompt the target user to contact operation and maintenance personnel for processing.
Preferably, while sending the prompt message to the target user, the method further includes:
and providing fault processing guidance information for operation and maintenance personnel to view and reference.
Preferably, before the step of receiving the fault sample of the communication device uploaded by the target user, the method further includes:
and receiving the normal sample of the communication equipment and storing the normal sample into a preset communication equipment resource library.
Preferably, the fault sample and the normal sample are obtained based on AR technology.
In a second aspect, the present invention further provides a communication device fault diagnosis platform, including:
the first receiving module is used for receiving a fault sample of the communication equipment uploaded by a target user;
the extraction module is used for extracting a normal sample of the communication equipment of the target user from a preset communication equipment resource library;
the diagnosis module is used for generating a difference sample according to the difference between the fault sample and the normal sample, and inputting the difference sample into a preset fault diagnosis model for operation to obtain a diagnosis result;
and the feedback module is used for feeding back the diagnosis result to the target user.
Preferably, the diagnosis result comprises: fault level information;
the communication equipment fault diagnosis platform further comprises:
the identification module is used for identifying whether the fault level information in the diagnosis result is a simple fault level or not when the diagnosis module feeds the diagnosis result back to the target user;
the first prompting module is used for sending a fault processing measure corresponding to the fault to the target user when the identification module identifies that the fault level information in the diagnosis result is a simple fault level, so that the target user can automatically process the fault according to the fault processing measure;
and the second prompting module is used for sending prompting information to the target user to prompt the target user to contact operation and maintenance personnel for processing when the identification module identifies that the fault level information in the fault diagnosis result is not the simple fault level.
Preferably, the second prompting module is further configured to provide fault handling guidance information for an operation and maintenance staff to view and refer.
Preferably, the communication device fault diagnosis platform further includes:
and the second receiving module is used for receiving the normal sample of the communication equipment and storing the normal sample into a preset communication equipment resource library.
Preferably, the fault sample and the normal sample are obtained based on AR technology.
The invention has the beneficial technical effects that:
according to the communication equipment fault diagnosis method and the communication equipment fault diagnosis platform, the fault sample of the communication equipment uploaded by the target user is received, the normal sample of the communication equipment of the target user is extracted from the preset communication equipment resource library, the difference sample is generated according to the difference between the fault sample and the normal sample, the difference sample is input into the preset fault diagnosis model to be operated so as to obtain the diagnosis result, and the diagnosis result is fed back to the target user, so that the target user can carry out self-help fault diagnosis on the communication equipment, the pressure of operation and maintenance personnel is relieved to a certain extent, and the user can be helped to quickly determine the equipment fault.
Drawings
Fig. 1 is a flowchart of a method for diagnosing a fault of a communication device according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for diagnosing a fault of a communication device according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a communication device fault diagnosis platform according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a communication device fault diagnosis platform according to a fourth embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following describes the communication equipment fault diagnosis method and platform provided by the present invention in detail with reference to the accompanying drawings.
The communication equipment fault diagnosis method provided by the invention is used for assisting the user to self-help find out the fault of the communication equipment, so that the pressure of operation and maintenance personnel can be relieved to a certain extent, and the user is helped to quickly and timely determine the equipment fault. The fault diagnosis method of the communication equipment is particularly suitable for troubleshooting of the household communication infrastructure.
In the invention, the fault diagnosis method of the communication equipment can be realized based on a fault diagnosis platform of the communication equipment, and a user can install an APP corresponding to the platform on intelligent equipment such as a mobile phone and carry out fault troubleshooting on the communication equipment through the APP.
Example one
Fig. 1 is a flowchart of a method for diagnosing a fault of a communication device according to an embodiment of the present invention, as shown in fig. 1, the method includes:
and S101, receiving a fault sample of the communication equipment uploaded by a target user.
And S102, extracting a normal sample of the communication equipment of the target user from a preset communication equipment resource library.
And step S103, generating a difference sample according to the difference between the fault sample and the normal sample.
And step S104, inputting the difference sample into a preset fault diagnosis model for operation to obtain a diagnosis result.
And step S105, feeding back the diagnosis result to the target user.
The communication equipment fault diagnosis method provided by the invention receives a fault sample of communication equipment uploaded by a target user, extracts a normal sample of the communication equipment of the target user from a preset communication equipment resource library, generates a difference sample according to the difference between the fault sample and the normal sample, inputs the difference sample into a preset fault diagnosis model for operation to obtain a diagnosis result, and feeds the diagnosis result back to the target user, so that the target user can carry out self-help fault troubleshooting on the communication equipment, the pressure of operation and maintenance personnel is relieved to a certain extent, and the user can be helped to quickly determine the equipment fault.
Example two
Fig. 2 is a flowchart of a communication device fault diagnosis method according to a second embodiment of the present invention, as shown in fig. 2, the method includes:
step S201, receiving a normal sample of the communication device, and storing the normal sample in a preset communication device resource library.
When the communication equipment is installed for the first time, the operation and maintenance personnel collect normal samples of the communication equipment in normal operation and upload the normal samples to the communication equipment resource library at the cloud end for storage, so that the normal samples are called for fault analysis when the communication equipment breaks down subsequently. The normal sample may include data of a normal operating state of the communication device, for example, information such as a temperature and a sound of a normal operation of the device. In some embodiments, the normal sample may also include a proper installation step of the communication device.
Step S202, receiving a fault sample of the communication equipment uploaded by the target user.
When the communication equipment fails, the target user acquires a fault sample of the communication equipment and uploads the fault sample to the communication equipment fault diagnosis platform. The fault sample may correspond to the normal sample, and may specifically include working state data of the communication device, for example, information such as temperature and sound of the device operation.
In addition, in the invention, preferably, the fault sample and the normal sample are acquired based on an AR (Augmented Reality, AR for short), the AR technology can simulate and superpose entity information (visual information, sound, taste, touch and the like) which is difficult to experience in a certain time space range of the real world through a scientific technology such as a computer and the like, and virtual information is applied to the real world. Specifically, in steps S201 and S202, the operation and maintenance personnel and the target user may use the AR device to obtain a normal sample and a failure sample.
Step S203, extracting a normal sample of the communication device of the target user from a preset communication device resource library.
And step S204, generating a difference sample according to the difference between the fault sample and the normal sample.
After receiving a fault sample uploaded by a target user, a communication equipment fault diagnosis platform extracts a normal sample of communication equipment of the target user from a communication equipment resource library, and generates a difference sample based on the fault sample and the normal sample, wherein the difference sample is a sample formed by difference of corresponding parameter information in the fault sample and the normal sample, and for example, the difference sample may include a temperature difference value, an audio difference value in sound information, and the like.
And S205, inputting the difference sample into a preset fault diagnosis model for operation to obtain a diagnosis result.
In the invention, a fault diagnosis model is preset in a platform, and the fault diagnosis model can be formed based on the following processes: firstly, according to experience knowledge, experts in the field analyze historical fault sample data received by a platform to determine the corresponding relation of information such as fault reasons and fault parameters, and then train the analyzed corresponding relation data by utilizing a deep learning algorithm, such as a neural network algorithm, to obtain a fault diagnosis model, wherein the fault diagnosis model can obtain the fault reasons with high probability of the fault according to a difference sample generated by a fault sample uploaded by a target user and a pre-stored normal sample.
Preferably, a fault diagnosis model knowledge base for storing fault diagnosis models trained in advance may be provided in the platform, and the number of fault diagnosis models may not be limited to one, and a plurality of fault diagnosis models may be stored based on different application scenarios and different classifications of faults.
And step S206, feeding back the diagnosis result to the target user.
And step S207, identifying whether the fault level information in the diagnosis result is a simple fault level.
And when the communication equipment fault diagnosis platform determines a diagnosis result, feeding the diagnosis result back to a target user, wherein the diagnosis result comprises type information, fault level information and a fault reason. Meanwhile, the platform identifies the fault level information included in the diagnosis result to provide different processing strategies later, i.e., the above steps S206 and S207 can be executed in parallel.
Specifically, in the present invention, the fault level information may include: the simple fault level and the medium-level fault level can be divided into other fault levels according to actual conditions, as long as the difficulty degree of the fault can be reflected. In step S207, when it is recognized that the failure level information in the diagnosis result is a simple failure level, the following step S208 is performed; and when it is recognized that the failure level information in the failure diagnosis result is not the simple failure level, the following step S209 is performed.
And S208, sending a fault handling measure corresponding to the fault to the target user so that the target user can automatically handle the fault according to the fault handling measure.
When the communication equipment fault diagnosis platform identifies that the fault is a simple fault level, the platform sends a fault treatment measure corresponding to the fault to the target user so that the target user can automatically treat the fault according to the fault treatment measure, thereby relieving the pressure of operation and maintenance personnel to a certain extent, accelerating the fault treatment speed and improving the user experience.
And step S209, sending prompt information to the target user to prompt the target user to contact operation and maintenance personnel for processing.
When the communication equipment fault diagnosis platform identifies that the fault is in a non-simple fault level, the platform prompts a target user that the fault is difficult to process and contacts operation and maintenance personnel to process. Meanwhile, the platform can also provide fault processing guidance information corresponding to the fault so as to be checked and referred by subsequent operation and maintenance personnel, the fault processing guidance information can not be directly sent to a target user but be stored in a fault diagnosis record of the target user, and when the operation and maintenance personnel logs in the communication equipment fault diagnosis platform, the fault processing guidance information can be checked by searching the fault diagnosis record of the target user, so that guidance is provided for the inexperienced operation and maintenance personnel.
In addition, the fault treatment measures and the fault treatment guidance information are predetermined by experts in the field according to experience knowledge and can be stored in a fault diagnosis model knowledge base in advance.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a communication device fault diagnosis platform according to a third embodiment of the present invention, where the communication device fault diagnosis platform according to the third embodiment of the present invention is used to implement the communication device fault diagnosis method according to the first embodiment of the present invention. As shown in fig. 3, the communication device fault diagnosis platform includes: a first receiving module 11, an extraction module 12, a diagnostic module 13 and a feedback module 14.
The first receiving module 11 is configured to receive a fault sample of the communication device uploaded by a target user; the extracting module 12 is configured to extract a normal sample of the communication device of the target user from a preset communication device resource library; the diagnosis module 13 is configured to generate a difference sample according to a difference between the fault sample and the normal sample, and input the difference sample to a preset fault diagnosis model for operation to obtain a diagnosis result; the feedback module 14 is used for feeding back the diagnosis result to the target user.
According to the communication equipment fault diagnosis platform provided by the embodiment, the fault sample of the communication equipment uploaded by the target user is received, the normal sample of the communication equipment of the target user is extracted from the preset communication equipment resource library, the difference sample is generated according to the difference between the fault sample and the normal sample, the difference sample is input into the preset fault diagnosis model to be operated, so that the diagnosis result is obtained, the diagnosis result is fed back to the target user, therefore, the target user can carry out self-help fault investigation on the communication equipment, the pressure of operation and maintenance personnel is relieved to a certain extent, and the user can be helped to quickly determine the equipment fault.
Example four
Fig. 4 is a schematic structural diagram of a communication device fault diagnosis platform according to a fourth embodiment of the present invention, as shown in fig. 4, this embodiment further includes, on the basis of the embodiment shown in fig. 3: a second receiving module 15, an identifying module 16, a first prompting module 17 and a second prompting module 18.
The second receiving module 15 is configured to receive a normal sample of the communication device, and store the normal sample in a preset communication device resource library; the identification module 16 is configured to identify whether the fault level information in the diagnosis result is a simple fault level while the diagnosis module 13 feeds back the diagnosis result to the target user; the first prompting module 17 is configured to send a fault handling measure corresponding to the current fault to the target user when the identification module 16 identifies that the fault level information in the diagnosis result is a simple fault level, so that the target user can automatically handle the current fault according to the fault handling measure; the second prompting module 18 is configured to send a prompting message to the target user to prompt the target user to contact the operation and maintenance staff for processing when the identifying module 16 identifies that the fault level information in the fault diagnosis result is not the simple fault level, and at the same time, the second prompting module 18 is further configured to send a prompting message to the target user and provide fault processing guidance information for the operation and maintenance staff to check and refer.
The communication device fault diagnosis platform provided in this embodiment is used to implement the communication device fault diagnosis method provided in the second embodiment of the present invention, and specifically, for the description of the functional modules of the communication device fault diagnosis platform and the interaction among the modules in this embodiment, please refer to the description of the corresponding method steps in the second embodiment of the present invention, which is not described herein again.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (10)
1. A fault diagnosis method for communication equipment is characterized by comprising the following steps:
receiving a fault sample of the communication equipment uploaded by a target user;
extracting a normal sample of the communication equipment of the target user from a preset communication equipment resource library;
generating a difference sample according to a difference between the fault sample and the normal sample;
inputting the difference sample into a preset fault diagnosis model for operation to obtain a diagnosis result;
and feeding back the diagnosis result to the target user.
2. The method of claim 1, wherein the diagnostic result comprises: fault level information;
while performing the step of feeding back the diagnosis result to the target user, the method further comprises:
identifying whether the fault level information in the diagnosis result is a simple fault level;
when the fault level information in the diagnosis result is identified to be a simple fault level, sending a fault processing measure corresponding to the fault to the target user so that the target user can process the fault according to the fault processing measure;
and when the fault level information in the fault diagnosis result is not the simple fault level, sending prompt information to the target user to prompt the target user to contact operation and maintenance personnel for processing.
3. The method according to claim 2, further comprising, while said sending a prompt to said target user:
and providing fault processing guidance information for operation and maintenance personnel to view and reference.
4. The method of claim 1, further comprising, prior to the step of receiving a fault sample of the communication device uploaded by the target user:
and receiving the normal sample of the communication equipment and storing the normal sample into a preset communication equipment resource library.
5. The method according to any of claims 1-4, wherein the fault sample and the normal sample are obtained based on AR technology.
6. A communication device fault diagnosis platform, comprising:
the first receiving module is used for receiving a fault sample of the communication equipment uploaded by a target user;
the extraction module is used for extracting a normal sample of the communication equipment of the target user from a preset communication equipment resource library;
the diagnosis module is used for generating a difference sample according to the difference between the fault sample and the normal sample, and inputting the difference sample into a preset fault diagnosis model for operation to obtain a diagnosis result;
and the feedback module is used for feeding back the diagnosis result to the target user.
7. The platform of claim 6, wherein the diagnostic results include: fault level information;
the communication equipment fault diagnosis platform further comprises:
the identification module is used for identifying whether the fault level information in the diagnosis result is a simple fault level or not when the diagnosis module feeds the diagnosis result back to the target user;
the first prompting module is used for sending a fault processing measure corresponding to the fault to the target user when the identification module identifies that the fault level information in the diagnosis result is a simple fault level, so that the target user can automatically process the fault according to the fault processing measure;
and the second prompting module is used for sending prompting information to the target user to prompt the target user to contact operation and maintenance personnel for processing when the identification module identifies that the fault level information in the fault diagnosis result is not the simple fault level.
8. The platform of claim 7, wherein the second prompt module is further configured to provide fault handling guidance information for viewing reference by an operation and maintenance person.
9. The platform of claim 6, wherein the communications device fault diagnosis platform further comprises:
and the second receiving module is used for receiving the normal sample of the communication equipment and storing the normal sample into a preset communication equipment resource library.
10. The platform of any one of claims 6-9, wherein the fault samples and the normal samples are obtained based on AR technology.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010949791.8A CN112105045A (en) | 2020-09-10 | 2020-09-10 | Communication equipment fault diagnosis method and platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010949791.8A CN112105045A (en) | 2020-09-10 | 2020-09-10 | Communication equipment fault diagnosis method and platform |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112105045A true CN112105045A (en) | 2020-12-18 |
Family
ID=73751296
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010949791.8A Pending CN112105045A (en) | 2020-09-10 | 2020-09-10 | Communication equipment fault diagnosis method and platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112105045A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112861220A (en) * | 2021-01-19 | 2021-05-28 | 中国联合网络通信集团有限公司 | Communication facility maintenance method and device based on AR technology |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107491021A (en) * | 2017-08-21 | 2017-12-19 | 无锡小天鹅股份有限公司 | Household electrical appliance and its fault diagnosis system, method and server |
CN107707374A (en) * | 2017-03-22 | 2018-02-16 | 西安艾润物联网技术服务有限责任公司 | Fault diagnosis method and system, user terminal and server for fault diagnosis |
CN109141898A (en) * | 2018-09-13 | 2019-01-04 | 湖北谊立舜达动力科技有限公司 | A kind of Diagnosis of Diesel Motor system based on Internet of Things |
CN110968619A (en) * | 2019-11-28 | 2020-04-07 | 机械工业仪器仪表综合技术经济研究所 | Hydraulic press self-learning fault diagnosis method and system based on Fault Tree (FTA) |
CN111288664A (en) * | 2020-03-23 | 2020-06-16 | 珠海格力电器股份有限公司 | Fault detection method and device for water heater and gas water heater |
-
2020
- 2020-09-10 CN CN202010949791.8A patent/CN112105045A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107707374A (en) * | 2017-03-22 | 2018-02-16 | 西安艾润物联网技术服务有限责任公司 | Fault diagnosis method and system, user terminal and server for fault diagnosis |
CN107491021A (en) * | 2017-08-21 | 2017-12-19 | 无锡小天鹅股份有限公司 | Household electrical appliance and its fault diagnosis system, method and server |
CN109141898A (en) * | 2018-09-13 | 2019-01-04 | 湖北谊立舜达动力科技有限公司 | A kind of Diagnosis of Diesel Motor system based on Internet of Things |
CN110968619A (en) * | 2019-11-28 | 2020-04-07 | 机械工业仪器仪表综合技术经济研究所 | Hydraulic press self-learning fault diagnosis method and system based on Fault Tree (FTA) |
CN111288664A (en) * | 2020-03-23 | 2020-06-16 | 珠海格力电器股份有限公司 | Fault detection method and device for water heater and gas water heater |
Non-Patent Citations (1)
Title |
---|
何海生等: "《AR看见未来》", pages: 179 - 183 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112861220A (en) * | 2021-01-19 | 2021-05-28 | 中国联合网络通信集团有限公司 | Communication facility maintenance method and device based on AR technology |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10288043B2 (en) | Wind turbine condition monitoring method and system | |
CN111917878B (en) | Message processing method, device, equipment and storage medium | |
CN112509583B (en) | Auxiliary supervision method and system based on scheduling operation ticket system | |
CN112631240A (en) | Spacecraft fault active detection method and device | |
CN107168844B (en) | Performance monitoring method and device | |
CN108846484A (en) | Fault self-recovery system, method, computer equipment and storage medium | |
CN211321337U (en) | Monitoring system for communication system | |
KR20200028305A (en) | Method for an autonomic or ai-assisted validation or decision making regarding network performance of a telecommunications network and/or for an autonomic or ai-assisted troubleshooting or performance enhancement within a telecommunications network, telecommunications network, system, machine intelligence entity, visualization interface, computer program and computer-readable medium | |
CN110543658A (en) | Power plant equipment diagnosis method based on big data | |
CN112105045A (en) | Communication equipment fault diagnosis method and platform | |
CN111522705A (en) | Intelligent operation and maintenance solution method for industrial big data | |
CN108377209A (en) | Equipment fault detecting system based on SCADA and detection method | |
CN111130934A (en) | Monitoring method, device and system of communication system | |
CN110361609A (en) | Extra-high voltage equipment monitors system and method | |
CN111563037B (en) | Test optimization method and device based on test questions, storage medium and terminal | |
CN111431884B (en) | Host computer defect detection method and device based on DNS analysis | |
CN111651760A (en) | Method for comprehensively analyzing equipment safety state and computer readable storage medium | |
CN107092547A (en) | A kind of apparatus testing method, electronic equipment and test system | |
CN113570473B (en) | Equipment fault monitoring method, device, computer equipment and storage medium | |
CN105740822B (en) | A kind of mechanical fault diagnosis optimization method and system | |
CN113420409B (en) | Relay protection device operation state prediction method based on deep learning | |
CN105606353B (en) | A kind of mechanical failure diagnostic method and system | |
CN115173569A (en) | Power distribution equipment testing method, device, equipment and medium based on BS (browser/server) framework | |
CN113591909A (en) | Abnormality detection method, abnormality detection device, and storage medium for power system | |
CN109104322B (en) | Method, device, readable storage medium and system for solving FL-NET communication fault |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201218 |
|
RJ01 | Rejection of invention patent application after publication |