CN105553700A - Intelligent equipment fault recognition detection and solution providing system - Google Patents
Intelligent equipment fault recognition detection and solution providing system Download PDFInfo
- Publication number
- CN105553700A CN105553700A CN201510912088.9A CN201510912088A CN105553700A CN 105553700 A CN105553700 A CN 105553700A CN 201510912088 A CN201510912088 A CN 201510912088A CN 105553700 A CN105553700 A CN 105553700A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- 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
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention provides an intelligent equipment fault recognition detection and solution providing system and belongs to the equipment fault processing technical field. The system of the invention includes a data center, a plurality of collection clients and check clients; the data center collects fault related logs of a server, safety equipment, exchange equipment and the like through the collection clients, collects solutions through the Internet, classifies and archives equipment types, fault types, fault causes and solutions, and learns unknown faults; and when the check clients are connected, requested fault related information is sent. The system of the invention can intelligently collect fault related information and solutions, and can assist in solving problems brought by personal technical blind points and a large number of equipment faults.
Description
Technical field
The present invention relates to equipment obstacle management technology, particularly relate to and a kind of separate intelligentized equipment fault recognition detection and solution provides system.
Background technology
In now numerous equipment obstacle managements, the personal experience of maintenance technician is often relied on to process.If there is unknown failure, technical staff often needs to process through the confirmation of long period.In some units, even smaller problem, if can not the source of failure be confirmed, can not process in time.Concerning information-based high development present, real time fail process is an indispensable requirement.
Present society, device type is various, and failure problems is various.Only rely on artificial treatment dependent failure information, not only time-consuming, and dependent failure information and solution very scattered, not architectonical.Each technical staff has oneself solution, when running into same problem, needs to make a choice to this.So the intelligent platform system that urgent need one is unified, improve troubleshooting relevant information, standardization and systematization.
Summary of the invention
The present invention proposes a kind of intelligentized equipment fault recognition detection and solution provides system, collecting the system platform of fault relevant information and solution by building an intelligence, solution individual skill blind spot and the various problem of equipment fault.
The present invention by building the system platform of an extensive collecting device fault log data of intellectuality, and utilizes internet mass information to retrieve, and utilizes mass data to carry out the object that device fault information is diagnosed and solution provides to reach.
The intelligentized equipment fault recognition detection of a kind of solution and solution provide system, comprise a data center, collect client and viewing client-side.
A kind of intelligentized equipment fault recognition detection and solution provide system,
Comprise a data center, several collection client and viewing client-side;
Data center can collect the relevant daily record of the faults such as server, safety means, switching equipment by collecting client, by internet hunt solution, and Put on file device type, fault type, failure cause and solution, and learn unknown failure; When viewing client-side equipment connection, send request fault relevant information.
Data center by magnanimity equipment fault in the fault log that provides and searching for Internet and can solve protocol, pass through neural network algorithm, classification faulty equipment type and information, and provide detailed solution and unknown failure retrieval to add, and corresponding information is handed down to relevant device in system, far-end real time information provides.
Collect client possess reptile retrieval and integrate filing ability, in subscriber authorisation situation, retrieve each device fault information, emphasis fault type;
Collect client and possess daily record collection ability in net, when giving to authorize, collection retrieval can be carried out to daily record in net, and submit data center to.Collecting client can the fault message of manual input fault equipment, and submits data center to.
Viewing client-side possesses error message and submits function to, and can obtain required error and solution scheme from data center.
System data center can be deployed on the higher server of performance, can connect into network, the Internet.
Client can be deployed on smart mobile phone and all kinds of computer, by installing and needing certain configuration, needs networking.
The invention has the beneficial effects as follows:
System adopts the subsidiary correct value function of solution, increases solution recognition accuracy.
Increase mass data processing function, current fault log amount is large, and classification is many, and distribution is wide, not manageability.
Intelligent selection solution, reduces the stand-by period of technical staff when running into unknown failure.
Can carry out data acquisition outside net Intranet, filing arranges, and manually can input solution.
Cascade correct data operates, and provides and merges correct data scheme.
Accompanying drawing explanation
Fig. 1 is system handling process sketch plan;
Be wherein data center and client in dotted line.
Fig. 2 is data center's processing rack composition.
Embodiment
More detailed elaboration is carried out to content of the present invention below:
This system comprises a data center, collects client and viewing client-side.
Data center adopts top-down processing scheme, first sets up catalog search for equipment, in catalogue, segment entry, sets up failure code classification, is filled by the data collected to failure code, at least containing reason and a solution.
System adopts C/S structure, and be not limited to place and time, client can be connected with data center at any time.Data center's end possesses standard osi model structure.Because the data file of transmission is text, and require that Reliability comparotive is high, adopt Transmission Control Protocol so carry out between data center with client communicating.Guaranteeing in bottom reliable basis, it is precisely reliable that Transmission Control Protocol can ensure that low volume data transmits.
Result is returned to the viewing client-side of request by data center, and as solution is correct, technical staff can return a right value by viewing client-side, this solution party's case value+1 of data center.Solution like this does not meet situation about this time occurring, technical staff can return an improper value, manually can input solution or not input solution.As inputted solution, on original solution basis, newly-built solution B.When data center exports solution to client, by solution the highest for selection default value to viewing client-side.Viewing client-side can select display to solve amount of projects.
Data center's process outer net image data, by concluding, arranging, in conjunction with the scheme of Intranet image data with manually input, produce original correct value, soprano's scheme is acquiescence output scheme.
Data center possesses many nets universality, is not limited to Intranet environment, solution incidentally respective correct value after cascade.After cascade, by neural network algorithm, merge solution, and recalculate correct value.Correct value is now that the original numerical value in each center is added.
Collecting client can search equipment fault message daily record in internal network, is transmitted in data center.Collection client can search for the solution relevant documentation corresponding to internal network devices failure code in external network, submits data center to.
Viewing client-side possesses the ability obtaining required solution from data center.The highest solution of acquiescence display correct value, can carry out arranging to change display number, give tacit consent to and sort from high to low by numerical value.
When technical staff finds that this fault solution does not meet present case, oneself solution can be inputted and remarks, include for data center.
When technical staff finds that this fault does not have failure code, when only having the various performance of equipment, the handling process of the same and failure code, now needs technical staff to input this fault critical process and keyword, for data center, determines to meet option by algorithm.
Utilize the data center of neural network algorithm, provide fault data disposal ability, filing classification fault type and performance, possess and automatically process operation.
System adopts the subsidiary correct value function of solution, makes different solution have certain washability, improves and select accuracy rate.
Claims (4)
1. intelligentized equipment fault recognition detection and solution provide a system, it is characterized in that,
Comprise a data center, several collection client and viewing client-side;
Data center can collect the relevant daily record of the faults such as server, safety means, switching equipment by collecting client, by internet hunt solution, and Put on file device type, fault type, failure cause and solution, and learn unknown failure; When viewing client-side equipment connection, send request fault relevant information.
2. system according to claim 1, is characterized in that,
Data center by magnanimity equipment fault in the fault log that provides and searching for Internet and can solve protocol, pass through neural network algorithm, classification faulty equipment type and information, and provide detailed solution and unknown failure retrieval to add, and corresponding information is handed down to relevant device in system, far-end real time information provides.
3. system according to claim 1, is characterized in that,
Collect client possess reptile retrieval and integrate filing ability, in subscriber authorisation situation, retrieve each device fault information, emphasis fault type;
Collect client and possess daily record collection ability in net, when giving to authorize, collection retrieval can be carried out to daily record in net, and submit data center to; Collecting client can the fault message of manual input fault equipment, and submits data center to.
4. system according to claim 1, is characterized in that,
Viewing client-side possesses error message and submits function to, and can obtain required error and solution scheme from data center.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510912088.9A CN105553700A (en) | 2015-12-11 | 2015-12-11 | Intelligent equipment fault recognition detection and solution providing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510912088.9A CN105553700A (en) | 2015-12-11 | 2015-12-11 | Intelligent equipment fault recognition detection and solution providing system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105553700A true CN105553700A (en) | 2016-05-04 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| CN201510912088.9A Pending CN105553700A (en) | 2015-12-11 | 2015-12-11 | Intelligent equipment fault recognition detection and solution providing system |
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| Country | Link |
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| CN (1) | CN105553700A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106022950A (en) * | 2016-05-06 | 2016-10-12 | 中国电力科学研究院 | Power distribution network secondary equipment type identification method and system |
| CN107247653A (en) * | 2017-06-02 | 2017-10-13 | 郑州云海信息技术有限公司 | A kind of Fault Classification and device of data center's monitoring system |
| CN110502499A (en) * | 2019-06-26 | 2019-11-26 | 中电万维信息技术有限责任公司 | Data fault event-handling method and maintenance system based on bayesian algorithm |
| CN111475411A (en) * | 2020-04-01 | 2020-07-31 | 苏州浪潮智能科技有限公司 | Server problem detection method, system, terminal and storage medium |
| CN112447279A (en) * | 2020-12-10 | 2021-03-05 | 上海联影医疗科技股份有限公司 | Task processing method and device, electronic equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20060161394A1 (en) * | 2000-02-14 | 2006-07-20 | Nextnine, Inc. | Support network |
| CN105045100A (en) * | 2015-06-08 | 2015-11-11 | 浪潮电子信息产业股份有限公司 | Intelligent operation monitoring platform for management by use of mass data |
-
2015
- 2015-12-11 CN CN201510912088.9A patent/CN105553700A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060161394A1 (en) * | 2000-02-14 | 2006-07-20 | Nextnine, Inc. | Support network |
| CN105045100A (en) * | 2015-06-08 | 2015-11-11 | 浪潮电子信息产业股份有限公司 | Intelligent operation monitoring platform for management by use of mass data |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106022950A (en) * | 2016-05-06 | 2016-10-12 | 中国电力科学研究院 | Power distribution network secondary equipment type identification method and system |
| CN107247653A (en) * | 2017-06-02 | 2017-10-13 | 郑州云海信息技术有限公司 | A kind of Fault Classification and device of data center's monitoring system |
| CN110502499A (en) * | 2019-06-26 | 2019-11-26 | 中电万维信息技术有限责任公司 | Data fault event-handling method and maintenance system based on bayesian algorithm |
| CN111475411A (en) * | 2020-04-01 | 2020-07-31 | 苏州浪潮智能科技有限公司 | Server problem detection method, system, terminal and storage medium |
| CN112447279A (en) * | 2020-12-10 | 2021-03-05 | 上海联影医疗科技股份有限公司 | Task processing method and device, electronic equipment and storage medium |
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Application publication date: 20160504 |