CN108268953A - The equipment retroactive method of feature based data gathering algorithm - Google Patents
The equipment retroactive method of feature based data gathering algorithm Download PDFInfo
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- CN108268953A CN108268953A CN201810030171.7A CN201810030171A CN108268953A CN 108268953 A CN108268953 A CN 108268953A CN 201810030171 A CN201810030171 A CN 201810030171A CN 108268953 A CN108268953 A CN 108268953A
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 12
- 230000002159 abnormal effect Effects 0.000 claims abstract description 4
- 238000005457 optimization Methods 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 239000002245 particle Substances 0.000 claims description 3
- 230000000717 retained effect Effects 0.000 abstract 1
- 230000000694 effects Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000009467 reduction Effects 0.000 description 3
- 238000011217 control strategy Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
- 230000003628 erosive effect Effects 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
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Abstract
The invention discloses a kind of equipment retroactive methods of the feature based data gathering algorithm of present invention, include the following steps：Characteristic collecting unit acquires the characteristic of Wind turbines equipment by characteristic gathering algorithm, and the characteristic of acquisition is delivered to characteristic processing unit；The characteristic of acquisition is carried out Effective judgement by characteristic processing unit by significant condition diagnostic model, if validity feature data, is then retained and is transmitted to integrated management of device system, if off-note data, is then filtered out and is sent abnormal data report；Effective characteristic is stored in database, then the real-time position information by visualized management showing interface Wind turbines equipment by integrated management of device system by Feature Correspondence Algorithm.The present invention sweeps tool firmly without equipment, and the soft characteristic attribute only having by integrating bound device itself can reach the retrospective purpose of equipment.
Description
Technical field
The present invention relates to the technical fields of Fan Equipment data processing, and in particular to a kind of feature based data gathering algorithm
Equipment retroactive method.
Background technology
In current wind power field, information is more comprehensive in Wind turbines factory, including COM code, cabinet coding, production
Product bar code, commissioning date, Shipping Date, component Name, component position number, component model, component sequence number, component batch number, figure
The information such as paper number.But it is still that can not trace state that information, which includes the message parts such as replacement of products, callings, after dispatching from the factory, especially by
The equipment replacement that is carried out outside factory in the human factor of the non-fabrication quotient staff such as owner, equipment Removal, equipment are exchanged and are drawn
The device losses that rise, facility information situations such as can not binding, occur repeatedly, cause unit equipment information it is at random, it is uncontrollable and
Not retrospective runaway condition in turn results in the different degrees of property loss of manufacturer.
For equipment tracing management, current major part manufacturer carries out device identification using bar code, is carried out by barcode scanning gun
Device scan simultaneously artificially records, small part manufacturer using Quick Response Code carry out device identification, can by mobile phone carry out device scan and
Archives synchronize, but no matter with which kind of mode, are all limited to the distinguishable state of device identification, are kept off or are invaded once identifying
Not distinguishable state is then presented in erosion, mark, this, which has resulted in equipment, to trace.
And facility information of the Wind turbines outside factory is integrated, is bound, tracing function, currently without a maturation, system
One entrance can be for users to use.Therefore, after Wind turbines manufacture, how to integrate in real time, bound device information, realize factory's external equipment
Trace state, the unnecessary loss of property such as part are lost in reduction, become current wind power field urgent problem to be solved.
Invention content
The present invention provides one exactly in order to solve the technical issues of facility information of the Wind turbines outside factory can not trace
Kind realize integrate in real time after Wind turbines manufacture, bound device information, ensure factory external equipment information can trace state based on spy
Levy the equipment retroactive method of data gathering algorithm.
The present invention is realized according to following technical scheme：
The equipment retroactive method of the feature based data gathering algorithm of the present invention, includes the following steps：
Characteristic collecting unit acquires the characteristic of Wind turbines equipment by characteristic gathering algorithm, and by acquisition
Characteristic is delivered to characteristic processing unit；
The characteristic of acquisition is carried out Effective judgement by characteristic processing unit by significant condition diagnostic model, if having
Characteristic is imitated, then retains and is transmitted to integrated management of device system, if off-note data, then filter out and send abnormal number
It was reported that；
Effective characteristic is stored in database by integrated management of device system by Feature Correspondence Algorithm, then is managed by visualizing
Manage the real-time position information of showing interface Wind turbines equipment.
The characteristic of the Wind turbines equipment is the module data embedded with soft identifier.
What the program of the characteristic gathering algorithm of the characteristic collecting unit was provided by Wind turbines equipment
Characteristic reads the characteristic of interface real-time data collection Wind turbines equipment or when Wind turbines powers on, and acquires wind
The characteristic of electric unit equipment.
The characteristic collecting unit real time remote addition characteristic gathering algorithm.
The significant condition diagnostic model is algorithm model trained in advance, and the training method specific steps are such as
Under：
First by the characteristic planting model of Wind turbines equipment, the rule definition of characteristic, extraction feature data are carried out
Rule is identified characteristic, if the intrinsic form of characteristic is correct, for validity feature data, if characteristic
Intrinsic format error, then be off-note data；
Secondly by the training of a large amount of validity feature data and off-note data, with reference to neural network, particle cluster algorithm, mould
Self-adaptive fuzzy algorithm carries out Model Parameter Optimization, determines model optimized parameter.
The significant condition diagnostic model is timed parameter optimization or real-time parameter optimization.
The characteristic processing unit is transmitted to by validity feature data by telecommunication and by algorithm for encryption
Integrated management of device system；Telecommunication is included first by validity feature data by controlling center in wire transmission to scene, then lead to
It crosses Transmission Control Protocol and is transmitted to integrated management of device system or directly by being wirelessly transmitted to integrated management of device system.
The integrated management of device system is by characteristic interface validity feature data and is decrypted, and passes through
Feature Correspondence Algorithm, characteristic interface will be set with the basic of each Wind turbines equipment in validity feature data and database
Field information carries out characteristic matching, is stored in database.
The Feature Correspondence Algorithm of the integrated management of device system in real time, dynamically change.
The visualized management interface of the integrated management of device system includes PC ends interface and APP ends interface, shows wind
Archive information in the real-time position information of electric unit equipment, factory, scheduling information, archives tracing information, O＆M event information outside factory,
And other data informations and analytical statement, provide the real-time tracing function entrance of Wind turbines equipment and wind power plant failure to the user
Diagnosis and warning function entrance.
The invention has the advantages and positive effects that：
The present invention sweeps tool firmly without equipment, and the soft characteristic attribute only having by integrating bound device itself can be realized
The retrospective purpose of part is changed outside Wind turbines instrument factory, additional less investment, retrospect quality is high, while solves Wind turbines factory peripheral hardware
The not retrospective runaway condition of standby information；In addition the control strategy of optimization Wind turbines can be also assisted, reaches Wind turbines equipment
Automatically, the unnecessary loss of property such as part are lost in retrospective effect, reduction in real time.And it is put down with reference to Wind turbines equipment management
Platform can carry out facility information on the basis of data analysis is realized and visually easily manage, have higher exploitativeness and
Expansibility obtains the effect for complementing each other, being carved an arrow more.
Description of the drawings
Fig. 1 is the flow chart of the present invention.
Specific embodiment
The present invention will be described in detail with reference to the accompanying drawings and embodiments.
As shown in Figure 1, the equipment retroactive method of the feature based data gathering algorithm of the present invention, includes the following steps：
Characteristic collecting unit acquires the characteristic of Wind turbines equipment by characteristic gathering algorithm, and by acquisition
Characteristic is delivered to characteristic processing unit；
The characteristic of acquisition is carried out Effective judgement by characteristic processing unit by significant condition diagnostic model, if having
Characteristic is imitated, then retains and is transmitted to integrated management of device system, if off-note data, then filter out and send abnormal number
It was reported that；
Effective characteristic is stored in database by integrated management of device system by Feature Correspondence Algorithm, then is managed by visualizing
Manage the real-time position information of showing interface Wind turbines equipment.
The characteristic of the Wind turbines equipment is the module data embedded with soft identifier.
What the program of the characteristic gathering algorithm of the characteristic collecting unit was provided by Wind turbines equipment
Characteristic reads the characteristic of interface real-time data collection Wind turbines equipment or when Wind turbines powers on, and acquires wind
The characteristic of electric unit equipment.
The characteristic collecting unit real time remote addition characteristic gathering algorithm.
The significant condition diagnostic model is algorithm model trained in advance, and the training method specific steps are such as
Under：
First by the characteristic planting model of Wind turbines equipment, the rule definition of characteristic, extraction feature data are carried out
Rule is identified characteristic, if the intrinsic form of characteristic is correct, for validity feature data, if characteristic
Intrinsic format error, then be off-note data；
Secondly by the training of a large amount of validity feature data and off-note data, with reference to neural network, particle cluster algorithm, mould
Self-adaptive fuzzy algorithm carries out Model Parameter Optimization, and parameter optimization algorithm calculates optimal situation using residual error or other mathematical way,
Determine model optimized parameter.
The significant condition diagnostic model is timed parameter optimization or real-time parameter optimization.
The characteristic processing unit is transmitted to by validity feature data by telecommunication and by algorithm for encryption
Integrated management of device system；Telecommunication is included first by validity feature data by controlling center in wire transmission to scene, then lead to
It crosses Transmission Control Protocol and is transmitted to integrated management of device system or directly by being wirelessly transmitted to integrated management of device system.
The integrated management of device system is by characteristic interface validity feature data and is decrypted, and passes through
Feature Correspondence Algorithm, characteristic interface will be set with the basic of each Wind turbines equipment in validity feature data and database
Field information carries out characteristic matching, and validity feature data are consistent with elementary field information matches in database, can just be stored in data
Library.
The Feature Correspondence Algorithm of the integrated management of device system in real time, dynamically change.
The visualized management interface of the integrated management of device system includes PC ends interface and APP ends interface, shows wind
Archive information in the real-time position information of electric unit equipment, factory, scheduling information, archives tracing information, O＆M event information outside factory,
And other data informations, such as the fault message of Wind turbines equipment, warning information and analytical statement, it provides to the user
The real-time tracing function entrance of Wind turbines equipment and wind power plant fault diagnosis and warning function entrance.
The present invention sweeps tool, the soft characteristic attribute only having by integrating bound device itself firmly without equipment
It realizes and the retrospective purpose of part is changed outside Wind turbines instrument factory, additional less investment, retrospect quality is high, while solves Wind turbines factory
The not retrospective runaway condition of external equipment information；In addition the control strategy of optimization Wind turbines can be also assisted, reaches Wind turbines
Equipment is automatic, the unnecessary loss of property such as part are lost in retrospective effect, reduction in real time.And with reference to Wind turbines equipment management
Platform can carry out facility information on the basis of data analysis is realized and visually easily manage, and have higher exploitativeness
And expansibility, obtain the effect for complementing each other, being carved an arrow more.
The embodiment of the present invention is described in detail above, but the content is only presently preferred embodiments of the present invention,
It should not be construed as limiting the practical range of the present invention.Any changes and modifications in accordance with the scope of the present application,
It should all still belong within the patent covering scope of the present invention.
Claims (10)
1. a kind of equipment retroactive method of feature based data gathering algorithm, it is characterised in that：Include the following steps：
Characteristic collecting unit acquires the characteristic of Wind turbines equipment by characteristic gathering algorithm, and by acquisition
Characteristic is delivered to characteristic processing unit；
The characteristic of acquisition is carried out Effective judgement by characteristic processing unit by significant condition diagnostic model, if having
Characteristic is imitated, then retains and is transmitted to integrated management of device system, if off-note data, then filter out and send abnormal number
It was reported that；
Effective characteristic is stored in database by integrated management of device system by Feature Correspondence Algorithm, then is managed by visualizing
Manage the real-time position information of showing interface Wind turbines equipment.
2. the equipment retroactive method of feature based data gathering algorithm according to claim 1, it is characterised in that：Described
The characteristic of Wind turbines equipment is the module data embedded with soft identifier.
3. the equipment retroactive method of feature based data gathering algorithm according to claim 2, it is characterised in that：Described
The characteristic reading that the program of the characteristic gathering algorithm of characteristic collecting unit is provided by Wind turbines equipment connects
The characteristic of mouthful real-time data collection Wind turbines equipment or when Wind turbines power on, acquires the spy of Wind turbines equipment
Levy data.
4. the equipment retroactive method of feature based data gathering algorithm according to claim 1, it is characterised in that：Described
Characteristic collecting unit real time remote adds characteristic gathering algorithm.
5. the equipment retroactive method of feature based data gathering algorithm according to claim 1, it is characterised in that：Described
Significant condition diagnostic model is algorithm model trained in advance, and the training method is as follows：
First by the characteristic planting model of Wind turbines equipment, the rule definition of characteristic, extraction feature data are carried out
Rule is identified characteristic, if the intrinsic form of characteristic is correct, for validity feature data, if characteristic
Intrinsic format error, then be off-note data；
Secondly by the training of a large amount of validity feature data and off-note data, with reference to neural network, particle cluster algorithm, mould
Self-adaptive fuzzy algorithm carries out Model Parameter Optimization, determines model optimized parameter.
6. the equipment retroactive method of feature based data gathering algorithm according to claim 5, it is characterised in that：Described
Significant condition diagnostic model is timed parameter optimization or real-time parameter optimization.
7. the equipment retroactive method of feature based data gathering algorithm according to claim 1, it is characterised in that：Described
Characteristic processing unit is transmitted to integrated management of device system by validity feature data by telecommunication and by algorithm for encryption
System；Telecommunication includes first being transmitted to validity feature data by controlling center in wire transmission to scene, then by Transmission Control Protocol
Integrated management of device system or directly by being wirelessly transmitted to integrated management of device system.
8. the equipment retroactive method of feature based data gathering algorithm according to claim 1, it is characterised in that：Described
Integrated management of device system is by characteristic interface validity feature data and is decrypted, by Feature Correspondence Algorithm,
Characteristic interface carries out the elementary field information that each Wind turbines equipment has been set in validity feature data and database
Characteristic matching is stored in database.
9. the equipment retroactive method of feature based data gathering algorithm according to claim 4, it is characterised in that：Described
The Feature Correspondence Algorithm of integrated management of device system in real time, dynamically change.
10. the equipment retroactive method of feature based data gathering algorithm according to claim 4, it is characterised in that：It is described
The visualized management interface of integrated management of device system include PC ends interface and APP ends interface, displaying Wind turbines equipment
Archive information in real-time position information, factory, scheduling information, archives tracing information, O＆M event information and other data outside factory
Information and analytical statement provide the real-time tracing function entrance of Wind turbines equipment and wind power plant fault diagnosis and early warning work(to the user
It can entrance.
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| CN201810030171.7A CN108268953A (en) | 2018-01-12 | 2018-01-12 | The equipment retroactive method of feature based data gathering algorithm |
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| CN201810030171.7A CN108268953A (en) | 2018-01-12 | 2018-01-12 | The equipment retroactive method of feature based data gathering algorithm |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110377659A (en) * | 2019-07-25 | 2019-10-25 | 南京数睿数据科技有限公司 | A kind of intelligence chart recommender system and method |
| CN116543533A (en) * | 2023-02-22 | 2023-08-04 | 普锐米勒机床(东莞)有限公司 | Equipment fault visual supervision system and method based on big data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140152017A1 (en) * | 2012-12-03 | 2014-06-05 | Gurcharan Singh Bhusri | System of floating platforms for generating electricity by wind turbines |
| CN104281130A (en) * | 2014-09-22 | 2015-01-14 | 国家电网公司 | Hydroelectric equipment monitoring and fault diagnosis system based on big data technology |
| CN106411964A (en) * | 2016-12-16 | 2017-02-15 | 北京瑞卓喜投科技发展有限公司 | Traceable and encrypted data transmission method and device |
| CN106447049A (en) * | 2016-08-26 | 2017-02-22 | 广西中烟工业有限责任公司 | Elevator equipment tracing management system based on two-dimensional code and elevator equipment tracing management method thereof |
| CN107147628A (en) * | 2017-04-27 | 2017-09-08 | 努比亚技术有限公司 | A kind of data processing equipment and method |
| CN107291830A (en) * | 2017-05-27 | 2017-10-24 | 宁夏共享模具有限公司 | A kind of creation method of equipment knowledge base |
-
2018
- 2018-01-12 CN CN201810030171.7A patent/CN108268953A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140152017A1 (en) * | 2012-12-03 | 2014-06-05 | Gurcharan Singh Bhusri | System of floating platforms for generating electricity by wind turbines |
| CN104281130A (en) * | 2014-09-22 | 2015-01-14 | 国家电网公司 | Hydroelectric equipment monitoring and fault diagnosis system based on big data technology |
| CN106447049A (en) * | 2016-08-26 | 2017-02-22 | 广西中烟工业有限责任公司 | Elevator equipment tracing management system based on two-dimensional code and elevator equipment tracing management method thereof |
| CN106411964A (en) * | 2016-12-16 | 2017-02-15 | 北京瑞卓喜投科技发展有限公司 | Traceable and encrypted data transmission method and device |
| CN107147628A (en) * | 2017-04-27 | 2017-09-08 | 努比亚技术有限公司 | A kind of data processing equipment and method |
| CN107291830A (en) * | 2017-05-27 | 2017-10-24 | 宁夏共享模具有限公司 | A kind of creation method of equipment knowledge base |
Non-Patent Citations (1)
| Title |
|---|
| 周奇才，沈鹤鸿，刘星辰，赵炯: ""大型机械设备全生命周期管理体系结构研究"", 《中国工程机械学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110377659A (en) * | 2019-07-25 | 2019-10-25 | 南京数睿数据科技有限公司 | A kind of intelligence chart recommender system and method |
| CN116543533A (en) * | 2023-02-22 | 2023-08-04 | 普锐米勒机床(东莞)有限公司 | Equipment fault visual supervision system and method based on big data |
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Address after: 300384 No. 100, Hangtian Road, Airport Economic Zone, Binhai New Area, Tianjin Applicant after: TIANJIN RUIYUAN ELECTRICAL Co.,Ltd. Address before: 300308 No. 100, aerospace Road, Airport Economic Zone, Dongli, Tianjin Applicant before: TIANJIN RUIYUAN ELECTRICAL Co.,Ltd. |
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Application publication date: 20180710 |
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