CN103237080A - Remote failure information processing method for wind generating set - Google Patents
Remote failure information processing method for wind generating set Download PDFInfo
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Abstract
The invention relates to a remote failure information processing method for a wind generating set. The method comprises the following steps of acquiring unit running data from a unit PLC (Programmable Logical Controller) by using a front-end processor, filtering and processing short-period data, and uploading failure data in the short-period data and short-period data into a central monitor; and processing short-period failure data and long-period data transmitted by the front-end processor respectively by using the central monitor, and transmitting the processed failure data to a remote server. Due to the adoption of the method, the management efficiency of the wind generating set on a wind power farm can be increased greatly, and resources are saved.
Description
Technical field
The present invention relates to technical field of wind power generation, particularly relate to a kind of remote fault information processing method of wind turbine generator.
Background technology
Various countries, the whole world are more and more higher to the cry of environmental protection; and to the demand of the energy in continuous increase; thus, the new forms of energy industry is subjected to support, support, promotion and the development of national governments with its reusable edible to the little characteristics of the pollution of environment; and striden across various technical thresholds as the wind-powered electricity generation industry of new forms of energy; development is swift and violent, is a dark horse, and becomes the bellwether of emerging new forms of energy industry; so far, also entered the wind-powered electricity generation fast developing lane.The wind energy turbine set of various places rises one after another, spreads all over rapidly all over the world, and meanwhile, the characteristics of wind energy turbine set distribution various places make the management of wind energy turbine set become the problem that becomes increasingly conspicuous, and it is difficult especially to improve the efficiency of management.Realize in this field that for this reason technical breakthrough becomes a kind of exigence.
The remote fault information processing method of existing wind turbine generator, just service data, the fault data to wind energy turbine set carries out real-time reading displayed, realize long-range monitoring, and some move functions such as forms, fault message implicit in the data is not judged, though user's fault pre-alarming effect can be provided, when using, reality finds that it also has some shortcomings, cause fails to reach best result of use, and its shortcoming can be summarized as follows:
1, because wind turbine generator when operation, can produce lot of data, and big like this data volume can cause very big pressure to data link and remote server, need a large amount of fund inputs to improve, very uneconomical.
2, the efficiency of management is low.
This shows that the remote fault information processing method of existing a kind of wind turbine generator obviously still has inconvenience and defective, and demands urgently further being improved in method and use.How to found the remote fault information processing method of the high new wind turbine generator of a kind of efficiency of management, becoming the current industry utmost point needs improved target.
Summary of the invention
The technical problem to be solved in the present invention provides a kind of remote fault information processing method of wind turbine generator, makes its fault management to wind turbine generator more efficient convenient.
For solving the problems of the technologies described above, the present invention relates to a kind of remote fault information processing method of wind turbine generator, may further comprise the steps: from machine set PLC, obtain data unit operation by front end processor, and the short period data are filtered and handle, the fault data in long period data and the short period data is uploaded to the CSRC machine; The CSRC machine is handled short period fault data and long period data that front end processor sends respectively, and the treated fault data that obtains is sent to remote server.
As a kind of improvement of the present invention, described short period data refer to that the cycle is the following data of 100ms, and described long period data refer to that the cycle is greater than the data of 100ms.
Described front end processor to the processing of short period data is: judge that the short period data receive are whether in default initiation parameter scope, if then discharge data, then delay time if not and reaffirm that the short period data that receive between time delay are whether in the initiation parameter scope, if then discharging data, if still then these data be not stored as fault data.
Described CSRC machine to the processing of long period data is: judge that the long period data receive whether in normal range (NR), if then discharge data, then take a decision as to whether fault if not, then discharge data if not, if then be stored as fault data.
Comprise also that at last remote server analyzes fault data, and according to grading that the degree of blower fan adverse effect is marked, generate the step of unit statement-of-health and early warning information report.
After adopting such design, the present invention has the following advantages at least:
1, is applicable to the various types of various places wind energy turbine set, applied range.
2, significantly improved the efficiency of management of wind energy turbine set wind turbine generator, economized on resources.
Description of drawings
Above-mentioned only is the general introduction of technical solution of the present invention, and for can clearer understanding technological means of the present invention, the present invention is described in further detail below in conjunction with accompanying drawing and embodiment.
Fig. 1 is that the system hardware of using the remote fault information processing method of a kind of wind turbine generator of the present invention is formed schematic diagram.
Fig. 2 is the flow chart of front end processor software data processing of the present invention.
Fig. 3 is the flow chart of CSRC software data processing of the present invention.
Fig. 4 is the flow chart of remote server deal with data of the present invention.
1-PLC, the 2-front end processor, the 3-industrial local network, the 4-CSRC, 5-dedicated network or internet,
The 6-remote server, 7-base station, 8-terminating machine
Embodiment
The EW system of wind-force unit to be applicable to the various types of various places wind energy turbine set, its key is to form the active data link, data can be sent to remote server at the appointed time, by remote server data are analyzed, judge problem and hidden danger that unit exists, generate early warning information (early warning information: according to the data of unit simultaneously, the fault that the unit that judges may occur and hidden danger, content mainly comprises the fault data feature, the maintenance measure that should take and method) notify the on-site maintenance personnel in suitable, to handle, meanwhile long-range technical support team and goods and materials support team are ready simultaneously, carry out the various measures of handling problem before problem occurs.
Wind generating set remote intelligent trouble early warning system of the present invention, formed by front end processor, CSRC and remote server, form the fast data link by industrial local network between front end processor and the CSRC, CSRC and remote server are formed data link by dedicated network or internet, make the three form unobstructed data network thus.
The key point of native system is the processing to mass data.Because wind turbine generator is when operation, can produce lot of data, big like this data volume can cause very big pressure to data link and remote server, drop into that to improve be uneconomic obviously aspect these two, therefore, the mode that we adopt intelligent distributed data to filter is filtered data, casts out a large amount of invalid datas, bring more smoothly data current to whole system, data are handled more rapidly.
Referring to shown in Figure 1, the applied system of the present invention mainly by the front end processor 2 that is built-in with preposition software, the CSRC machine 4 that is built-in with CSRC software, connect the remote server 6 of front end processor 2 and the industrial local network 3 of CSRC machine 4, built-in data processing software and be connected CSRC machine 4 and dedicated network or the internet of remote server 6 are formed.
At first, front end processor 2 obtains data unit operation from the PLC 1 of unit, by preposition software data are carried out filtration treatment, is primarily aimed at the short period data and handles, following data of cycle 100ms for example, and by the industrial local network network with data upload to CSRC machine 4.CSRC software mainly is that the long period data are handled, and for example the cycle is handled filtration greater than the data of 100ms, and these data are put in order, is sent to remote server 6 by dedicated network or internet again.Remote server 6 is analyzed these data, and put in order and file, mark, grade or generate early warning information report and unit statement-of-health,
With reference to shown in Figure 2, front end processor is handled the short period data, and at first setting a regime values scope at front end processor is initiation parameter, after front end processor receives data message, at first judges whether in the initiation parameter scope: if data exist, then discharge data; If data are not in the initiation parameter scope, then time-delay, reaffirm whether the new data that receives between time delay is fault data, prolong the judgement cycle of fault data, to reach the purpose of affirmation, if not, discharge data, if data are that fault data is then stored data, and by the industrial local network network this fault data is uploaded to the CSRC machine.
With reference to shown in Figure 3, the fault data that CSRC software is handled the long period data and transmitted by front end processor, difference is the logical operation rule and the logical operation rule of handling the long period data of set handling front end processor fault data as required, judges whether it is the fault data.Rule of thumb the summary with some catastrophic failure data and abnormal data is formulated to corresponding module, carries out data analysis.The logical operation rules of the logical operation of front end processor fault data rule and CSRC long period data be integrated in the front end processor process software with the CSRC process software in, and can revise flexibly according to actual needs, the logical operation rule can directly arrange by alternating interface between man and computer.When data surpass the experience set point, then be considered to fault data.Judge module is to be integrated in CSRC software and front end processor software.The data that transmission comes for front end processor are judged fault by rule, if not fault data then discharges data, if fault data is then stored data, the data feature is analyzed, the result that will analyze delivers on the monitoring interface timely and shows at last, and is sent to remote server and handles.For the long period data that front end processor sends, judge that at first it is whether in normal range (NR): in this way, then discharge data; As non-, then further whether judge fault according to the long period data rule, as otherwise discharge data, then carry out data storage and characteristic processing in this way, and be sent to remote server.
With reference to shown in Figure 4, transfer of data is behind remote server, and data processing software deposits data in database after the data feature is edited.It is three interfaces that database is divided into: early warning interface, data query interface, unit statement-of-health interface, wherein, the early warning interface comprises unit Back ground Information, early warning information and unit health and fitness information, the data query interface comprises fault data inquiry, fault data trend feature and data processing tools, and unit statement-of-health interface comprises the report of wind field unit operation, group of clients report and whole unit problem report.All interfaces all can be sent to the man-machine communication interface by dedicated network or internet and check that for the related personnel related personnel also can directly inquire about the data in the database by polling routine.
The analytic process of remote server is that each monitored variable of blower fan is judged, comprise and whether meet " fan operation model data feature " (to be that a data variable should residing normal range (NR) in normal course of operation for blower fan, data variable exceeds normal range (NR), illustrate that there is certain risk in fan operation), whether there are off-notes such as anomaly trend, saltus step.These analytic processes are finished by software.According to the failure data analysis result, according to grading that the degree of blower fan adverse effect is marked, the result generates the unit statement-of-health according to the scoring summation, generates the early warning information report according to grading system.Finally, deposit result data in database filing, conveniently need inquiry.
The result that will handle delivers on the monitoring interface timely and shows at last.After monitor staff's affirmation, can and report relevant information send among related personnel's the mobile phone and mailbox, demonstrate fully the importance of information.
Said system intelligence is mainly reflected in:
1, whole system is reported and the unit statement-of-health to generating early warning information from data acquisition, processing, analysis, scoring, classification, filing, all there is not personnel's intervention, and to abnormal conditions (communication temporarily interrupt) is taked accordingly, lower or eliminate influence to whole system function.
2, preposition software, CSRC software all can be long-range or import different functional blocks on the spot and realize needed following function, also can finish simultaneously data rapidly and handle relevant the setting, do not influence operation and the stability of whole system, at it original advantage is arranged above the function expansion.
3, the abnormal data of finding by Different Rule also is different to the influence degree of blower fan, therefore these exception rules and data is divided into five grades and different scorings.The order of severity of abnormal data is judged in division by grade, judges health status and the variation tendency of blower fan by the gross score of early warning.
The above; it only is preferred embodiment of the present invention; be not that the present invention is done any pro forma restriction, those skilled in the art utilize the technology contents of above-mentioned announcement to make a little simple modification, equivalent variations or modification, all drop in protection scope of the present invention.
Claims (5)
1. the remote fault information processing method of a wind turbine generator is characterized in that may further comprise the steps:
From machine set PLC, obtain data unit operation by front end processor, and the short period data are filtered and handled, the fault data in long period data and the short period data is uploaded to the CSRC machine;
The CSRC machine is handled short period fault data and long period data that front end processor sends respectively, and the treated fault data that obtains is sent to remote server.
2. the remote fault information processing method of a kind of wind turbine generator according to claim 1 is characterized in that: described short period data refer to that the cycle is the following data of 100ms, and described long period data refer to that the cycle is greater than the data of 100ms.
3. the remote fault information processing method of a kind of wind turbine generator according to claim 1 is characterized in that described front end processor to the processing of short period data is:
Judge that the short period data receive are whether in default initiation parameter scope, if then discharge data, then delay time if not and reaffirm that the short period data that receive between time delay are whether in the initiation parameter scope, if then discharging data, if still then these data be not stored as fault data.
4. the remote fault information processing method of a kind of wind turbine generator according to claim 1 is characterized in that described CSRC machine to the processing of long period data is:
Judge that the long period data receive whether in normal range (NR), if then discharge data, then take a decision as to whether fault if not, then discharge data if not, if then be stored as fault data.
5. the remote fault information processing method of a kind of wind turbine generator according to claim 1, it is characterized in that: comprise also that at last remote server analyzes fault data, and according to grading that the degree of blower fan adverse effect is marked, generate the step of unit statement-of-health and early warning information report.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105137350A (en) * | 2015-07-24 | 2015-12-09 | 南京华盾电力信息安全测评有限公司 | Wind turbine generator set performance monitoring method based on eight states |
| CN106506626A (en) * | 2016-10-26 | 2017-03-15 | 珠海小可乐科技有限公司 | Electric automobile charging pile and the data communications method and device of server |
| CN107368054A (en) * | 2017-08-23 | 2017-11-21 | 北京赛普泰克技术有限公司 | Performance analysis management system and factory management system |
| CN108234225A (en) * | 2016-12-13 | 2018-06-29 | 北京金风科创风电设备有限公司 | The monitoring method and device of communication quality between wind power generating set master-salve station |
| CN109683083A (en) * | 2018-12-29 | 2019-04-26 | 泛仕达机电股份有限公司 | A kind of low speed means of communication applied to draught fan control circuit plate |
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2013
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| US20060287843A1 (en) * | 2005-05-30 | 2006-12-21 | Omron Corporation | Process management apparatus, and process management method |
| CN101303592A (en) * | 2008-06-30 | 2008-11-12 | 电子科技大学 | A new method for remote maintenance of wind power generators |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105137350A (en) * | 2015-07-24 | 2015-12-09 | 南京华盾电力信息安全测评有限公司 | Wind turbine generator set performance monitoring method based on eight states |
| CN105137350B (en) * | 2015-07-24 | 2018-11-30 | 南京华盾电力信息安全测评有限公司 | A kind of wind power generating set performance monitoring method based on eight states |
| CN106506626A (en) * | 2016-10-26 | 2017-03-15 | 珠海小可乐科技有限公司 | Electric automobile charging pile and the data communications method and device of server |
| CN108234225A (en) * | 2016-12-13 | 2018-06-29 | 北京金风科创风电设备有限公司 | The monitoring method and device of communication quality between wind power generating set master-salve station |
| CN108234225B (en) * | 2016-12-13 | 2020-09-22 | 北京金风科创风电设备有限公司 | Method and device for monitoring communication quality between master and slave stations of wind turbines |
| CN107368054A (en) * | 2017-08-23 | 2017-11-21 | 北京赛普泰克技术有限公司 | Performance analysis management system and factory management system |
| CN109683083A (en) * | 2018-12-29 | 2019-04-26 | 泛仕达机电股份有限公司 | A kind of low speed means of communication applied to draught fan control circuit plate |
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