CN106094790B - Wind power equipment reliability management information system - Google Patents

Wind power equipment reliability management information system Download PDF

Info

Publication number
CN106094790B
CN106094790B CN201610395503.2A CN201610395503A CN106094790B CN 106094790 B CN106094790 B CN 106094790B CN 201610395503 A CN201610395503 A CN 201610395503A CN 106094790 B CN106094790 B CN 106094790B
Authority
CN
China
Prior art keywords
event
data
equipment
reliability
equipment dependability
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.)
Expired - Fee Related
Application number
CN201610395503.2A
Other languages
Chinese (zh)
Other versions
CN106094790A (en
Inventor
徐春
阿其图
梁有栋
江志文
王志强
徐佳宇
俞洋
邬朝荷
高玉龙
勾延旭
田立柱
刘鹏飞
郭军
程龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
INNER MONGOLIA DATANG INTERNATIONAL NEW ENERGY Co Ltd
Original Assignee
INNER MONGOLIA DATANG INTERNATIONAL NEW ENERGY Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by INNER MONGOLIA DATANG INTERNATIONAL NEW ENERGY Co Ltd filed Critical INNER MONGOLIA DATANG INTERNATIONAL NEW ENERGY Co Ltd
Priority to CN201610395503.2A priority Critical patent/CN106094790B/en
Publication of CN106094790A publication Critical patent/CN106094790A/en
Application granted granted Critical
Publication of CN106094790B publication Critical patent/CN106094790B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275Fault isolation and identification, e.g. classify fault; estimate cause or root of failure

Abstract

Propose wind power equipment reliability management information system, belong to wind-powered electricity generation and computer communication technology field, the system comprises: data integration platform 102 and reliability management platform 101, in which: the data integration platform is used to carrying out the fan monitoring data for the multiple fan monitoring systems for being monitored each Wind turbines in wind power plant into unified collection;The reliability management platform is connected to the data integration platform, and the fan monitoring data for collecting to the data integration platform are arranged and analyzed, and obtains the equipment dependability information of each Wind turbines of wind power plant.This system can realize the acquisition for wind power plant information automatically, and automatically according to the event and its classification that the judgement of the data of acquisition occurs, and the person liable and reason of critical event are automatically analyzed and recorded, improve the efficiency of management and accuracy of wind power equipment reliability.

Description

Wind power equipment reliability management information system
Technical field
The present invention relates to wind-powered electricity generation and computer communication technology field more particularly to a kind of wind power equipment reliability management information System.
Background technique
Equipment dependability refers to that the extent of stability of equipment function in time does not occur in other words within a certain period of time The degree (probability) of problem.The analysis treatment process carried out to guarantee the long-time failure-free operation of equipment, exactly equipment Fail-safe analysis.The normalization of the quantization of equipment dependability and equipment dependability analysis carries out, it has also become wind power plant is visited at this stage The important means sought the important foundation of equipment state overhauling mode and equipment Management Level is instructed to be promoted.
However, the most building time of Current Domestic wind power plant is shorter, the air-blower control of different model in field, different manufacturers System is dispersed thirty years of age, and internal informationization construction is poor, and a large amount of real time data dispersions for reflecting equipment production operation situation lack system One management, does not more form unified data integration platform.In addition, wind farm device is reliable in this data basis Property management still generally use be accomplished manually data acquisition, and then complete equipment dependability record, evaluation management mode.This work Make method are as follows: wind power plant designates a special person to take charge the reliability management work of specified equipment component, due to that can manage for labor management The number of devices of reason is very limited;The designated person was responsible for its daily operation day of equipment query for participating in reliability management Will takes passages its operating status;The designated person is responsible for tracking its significant reliability event to the equipment for participating in reliability management Treatment process, and complete the reliability management record of equipment;The designated person be responsible for participate in reliability management equipment monthly, It is annual to carry out reliability quantization, analysis, evaluation, data basis is provided for equipment management and improves direction guidance.
The drawbacks of this mode, is mainly reflected in:
1) data are manually acquired, equipment running status is taken passages and record the method inefficiency of reliability event, Bu Nengbao The case where demonstrate,proving the timeliness of reliability data, and being easy to appear incorrect posting, error of omission, when statistical analysis, is also easy to appear mistake, Cause equipment dependability analysis data insincere.
2) equipment reliability management process is random strong, is controlled completely by administrative staff oneself.Due to there is no standardization, rule The important attribute of the reliability incident management process of generalized, equipment dependability event accurately can not be recorded and be managed, and be made Incomplete at reliability event content, use value reduces;
3) the manageable equipment narrow scope of labor management, the data of only several big equipment, limits reliability management Range, cannot achieve overall equipment management;
4) the quantifiable reliability index of labor management is limited in scope, and the equipment Management Level that cannot achieve fining is commented Valence.
As participation of the wind-powered electricity generation enterprise in electricity market is higher and higher, the requirement to equipment management is also higher and higher, Existing labor management mode be not able to satisfy increasingly equipment refinement, generalization, accuracy management requirement, become enterprise and set The great resistance that standby management level is promoted.
Summary of the invention
In order to solve the above-mentioned technical problem the present invention, proposes a kind of wind power equipment reliability management information system, this is Different model and the information of the Wind turbines of different manufacturers are carried out unified automatically collecting by unified aspect, on the one hand according to collection Information the reliability of each equipment of Wind turbines is recorded and is analyzed automatically, can in real time, efficiently and accurately judge equipment Reliability, for wind power system maintenance and advanced optimize good data supporting be provided.
According to an aspect of the present invention, it proposes a kind of wind power equipment reliability management information system, the system packet Include data integration platform and reliability management platform, in which: the data integration platform be used for by wind power plant to each wind The fan monitoring data for multiple fan monitoring systems that motor group is monitored carry out unified collection;The reliability management platform It is connected to the data integration platform, the fan monitoring data for collecting to the data integration platform are arranged and divided Analysis obtains the equipment dependability information of each Wind turbines of wind power plant.
According to an aspect of the present invention, the reliability management platform includes equipment dependability event acquisition device, sets Standby reliability incident management device and equipment dependability evaluating apparatus.
According to an aspect of the present invention, the reliability event acquisition device is connected to the data integration platform, uses In the control mode for combining wind power station control system, pass through the reality to the equipment correlated condition measuring point collected in data integration platform When data be acquired, compare and logical operation automatically, determine the variation of the equipment running status automatically, record corresponding equipment Reliability event.
According to an aspect of the present invention, the equipment dependability incident management device includes reliability event confirmation mould Block, critical event person liable confirmation module and critical event liability cause confirmation module, in which: the reliability event confirmation Module is used to automatically confirm that whether the equipment dependability event of equipment dependability acquisition module acquisition to be critical event, and will confirm that It as a result is that critical event or critical events are recorded as the event type of equipment dependability event;And work as crucial thing When part, which is sent to critical event person liable's confirmation module and is further processed;The critical event person liable is true Module is recognized for automatically confirming that the person liable of the equipment dependability event when the equipment dependability event is critical event, and Record the person liable of the equipment dependability event;The critical event liability cause confirmation module is used for when the equipment is reliable Sexual behavior part automatically confirms that the cause of the equipment dependability event when being critical event, and records rising for the equipment dependability event Cause.
According to an aspect of the present invention, the reliability event confirmation module, critical event person liable confirmation module with And critical event liability cause confirmation module all has interface is manually entered, for reliability event, person liable and responsibility Reason carries out manual confirmation.
According to an aspect of the present invention, the equipment dependability evaluating apparatus is used for from multiple critical angles to equipment pipe Reason level is evaluated and points out to improve direction.
According to an aspect of the present invention, the equipment dependability evaluating apparatus includes: the first submodule, for according to setting Standby reliability event carries out equipment dependability indicator-specific statistics and analysis, realizes the evaluation of equipment health status;Second submodule is used It is counted and is analyzed according to the unplanned outage business reasons angle in equipment dependability event, equipment is non-stops event for accumulation Reason;Third submodule realizes human reliability's index for carrying out reliability index statistics according to reliability event person liable Evaluation;And the 4th submodule, for according to equipment dependability unplanned outage event problem components angle carry out statistics and Analysis, accumulation cause equipment the non-components situation for stopping event occur.
According to an aspect of the present invention, the data integration platform includes multiple fan monitoring systems, and multiple data are adopted Collect module, data safety shielding system, multiple data memory modules and data storage terminal.
According to an aspect of the present invention, the multiple data acquisition module is connected to more in wind power plant correspondingly A fan monitoring system, for obtaining the fan monitoring information from fan monitoring system;The data safety shielding system connects It connects between the multiple data acquisition module and multiple data memory modules, uses physical isolation measure to guarantee that data are transmitted Safety;The multiple data memory module and the multiple data acquisition module correspond, for controlling the blower Monitoring information is unidirectionally by the data safety shielding system to store the data storage terminal;The data storage terminal It is connected to the multiple data memory module, for saving the fan monitoring information from multiple data acquisition modules.
According to an aspect of the present invention, the data storage terminal includes that primary data store terminal and standby data storage are whole End, each of the primary data store terminal and standby data storage terminal are connect with the multiple data memory module, and institute It states primary data store terminal and standby data storage terminal is interconnected also by active and standby line connecting terminal;And the reliability pipe Platform default extracts data from primary data store terminal, in primary data store terminal fault, mentions from standby data storage terminal Access evidence.
It can be seen that the system proposed by the present invention being managed automatically to the reliability information of equipment avoids artificial system The defects of error-prone, at high cost is counted, the data acquisition module used as middleware is by different types of fan monitoring system Communication interface is unified, and the transmission security that safe transimission and storage structure ensure that the data of acquisition is utilized; And the event of generation automatically and accurately can be identified using the data of acquisition and classified to event, for key Event can be automatically found its person liable, liability cause, and in order to guarantee critical event, person liable and the standard of liability cause True property, it is also proposed that automatically plus artificial means are so that result is more accurate, but also can be according to the result pair of acquisition Status of equipment, the non-various aspects such as business reasons, person liable of stopping carry out automatic Evaluation.Greatly improving can for wind power equipment By the efficiency of management and accuracy of property.
Detailed description of the invention
Fig. 1 shows the general structure schematic diagram of wind power equipment reliability management information system proposed by the present invention;
Fig. 2 shows the structures of the data integration platform of wind power equipment reliability management information system proposed by the present invention to show It is intended to;
Fig. 3 shows the knot of wind power equipment reliability management information system equipment reliability management platform proposed by the present invention Structure schematic diagram.
Specific embodiment
The present invention is described underneath with specific embodiment and in conjunction with attached drawing 1-3, it should be noted that specific embodiment hereafter is only For example, it is not intended as limiting the scope of the invention.
Referring first to Fig. 1, it illustrates the overall structure of wind power equipment reliability management information system proposed by the present invention Schematic diagram.As can be seen from Figure 1, the management information system includes two large platforms, first is that data integration platform 102, second is that reliably Property management platform 101.
Wind power plant inner blower model, producer is different and leads to various fan monitoring systems for overcoming for the data integration platform The defect that the data of system can not be managed collectively.That is, the data integration platform be used for by wind power plant to each wind The fan monitoring data for multiple fan monitoring systems that motor group is monitored carry out unified collection.
The reliability management platform of the data integration platform is connected to for overcoming manually to each fan monitoring system The data of system are collected, arrange and analyze and lead to efficiency and the low defect of accuracy rate.That is, the reliability management The fan monitoring data that platform is used to collect the data integration platform are arranged and are analyzed, and each wind-powered electricity generation of wind power plant is obtained The equipment dependability information of unit.
Data integration platform proposed by the present invention is introduced with reference to Fig. 2 first below.
As described above, in wind power plant, often there is the blower of different manufacturers, different model, and the monitoring of these blowers System is usually all the blower development that each blower producer is directed to oneself, to realize the automatic of wind power plant whole audience equipment dependability Change management, it is necessary to establish the unified data integration platform of wind power plant.According to one embodiment, in addition to various fan monitoring systems Outside 201, data integration platform proposed by the present invention further include multiple data acquisition modules 202, data safety shielding system 203, Multiple data memory modules 204 and data storage terminal 205 and 206.
The multiple data acquisition module is connected to multiple fan monitoring systems in wind power plant correspondingly, that is, Say that each data acquisition module is connected to a fan monitoring system, for obtaining the fan monitoring from fan monitoring system Information.Since fan monitoring system is different, each data acquisition module is connected by different standard data interface terminals To corresponding fan monitoring system, so that the production run data to blower carry out data communication.
The data safety shielding system is connected between the multiple data acquisition module and multiple data memory modules, Using physical isolation measure, guarantee the safety of data transmission.The data safety shielding system can be one or more objects Manage firewall.
The multiple data memory module and the multiple data acquisition module correspond, for controlling the blower prison Control information guarantees the safety of data transmission unidirectionally by the data safety shielding system to store the data storage terminal Property and complete data and save function, multiple data memory modules are connected to the data storage terminal, to form interface independence Star arrangement, guarantee the independence of individual interface, it is ensured that individual interface failure will not have an impact other data-interfaces.
The data storage terminal is connected to the multiple data memory module, comes from multiple data acquisition modules for saving The fan monitoring information of block.The data storage terminal can be used international advanced real time historical database and uniformly deposit as data Storage media, it is ensured that precision, range and the real-time of data call, accuracy that data store, while as shown in Fig. 2, the number It include primary data store terminal 205 and standby data storage terminal 206 according to storage terminal, the primary data store terminal and standby data Each of storage terminal is connect with the multiple data memory module, and the primary data store terminal and standby data storage are eventually End is interconnected also by active and standby line connecting terminal, can ensure that the safety of data storage in this way.Thicker line indicates more in Fig. 2 The connection of a data memory module 204 and primary data store terminal 205, thinner line indicate multiple data memory modules 204 with The connection of standby data storage terminal 206.The data storage terminal is connected to the reliability management platform proposed in this paper.? In the case where storing terminal with master/slave data, the reliability management platform default extracts data from primary data store terminal, In primary data store terminal fault, data are extracted from standby data storage terminal.
It can be seen that the data integration platform can acquire the monitoring of the Wind turbines of different model and producer in wind power plant Data, and the data are uniformly stored in data storage terminal by safe and reliable storage mode, the data storage is eventually Data in end can be used as the data source for the reliability management platform being described hereinafter.
The reliability management platform is specifically described referring to Fig. 3.
The reliability management platform mainly includes equipment dependability event acquisition device 301, equipment dependability event pipe Manage device 302 and equipment dependability evaluating apparatus 303.
The equipment dependability event acquisition device 301 is connected to the data integration platform 102, is specifically connected to described The data storage terminal of data integration platform.The equipment dependability event acquisition device is used in conjunction with wind power station control system Control mode passes through the real time data (switching value, analog quantity) to the equipment correlated condition measuring point collected in data integration platform Automatically it is acquired, compares and logical operation, determine the variation of the equipment running status automatically, record corresponding equipment dependability Event.
By taking blower as an example, according to the different control mode of wind power station control system, there are self-test, operation, limited loads for blower The plurality of devices states such as operation, shutdown, disorderly closedown, when blower is in disorderly closedown state, equipment dependability event acquisition Device is collected into the status data of blower from data integration platform, such as judge fan parking state measuring point data for TRUE, then Current fan condition is judged to shut down, then judges that fan trouble shutdown status measuring point data, for example TRUE then judge current blower State not instead of orderly closedown, disorderly closedown, after fan trouble is repaired, when doing operation test, fan operation state measuring point Data become TRUE, then judge that the fan trouble shutdown event terminates.And so on, equipment dependability event acquisition device can be certainly The dynamic various states for collecting the blower with data source and decision logic.
It can be seen that above equipment reliability event acquisition device fundamentally breaches the acquisition of convectional reliability event Mode becomes the artificial reliability data acquisition mode taking passages facility information, counting manually and automatically records into event, automatically confirms that thing The acquisition mode of part.The bottleneck for overcoming equipment dependability event statistics solves managed staffing and statistical means Constraint can not recording equipment a large amount of reliability events the problem of.The automatic collection for realizing device events, reduces workload, mentions The high accuracy of event acquisition, improves working efficiency.It is advantageously implemented the fine-grained management of equipment.Also make equipment dependability Management content is no longer limited by artificial ability and energy, and the reliability management of a wide range of equipment may be implemented.It is advantageously implemented The generalization management of equipment.
The equipment dependability incident management device 302 includes reliability event confirmation module 3021, critical event responsibility People's confirmation module 3022 and critical event liability cause confirmation module 3023.Appended drawing reference 3024 indicates equipment dependability event The end of management.
Wherein the reliability event confirmation module is used to confirm the equipment dependability of equipment dependability acquisition module acquisition Whether event is critical event, and will confirm that event of the result (critical event/critical events) as equipment dependability event Class record gets off.When for critical event, by the event be sent to critical event person liable confirmation module 3022 carry out it is next The processing of step terminates 3024 if it is critical events.
For the reliability evaluation of equipment, the event of most critical be just it is non-stop event, followed by maintenance class event, it is non- Critical event is mainly standby event, and reliability event confirmation module is according to the collected equipment thing of reliability event acquisition device Part state carries out automatic discrimination classification, automatically records and prompts person liable's confirmation, the liability cause confirmation etc. for critical event Subsequent processing work.
In addition, the reliability event confirmation module, which also has, is manually entered interface, for providing to equipment dependability thing The manual confirmation interface of part.That is, although the approach of judging automatically is provided, it is likely that for the judgement mark of critical event Standard changes, on the one hand the interface provided herein that is manually entered can be used for manually changing and whether confirm equipment dependability event For critical event, it on the other hand can be used for the judgment criteria of manual amendment's critical event.To have stronger flexibility.
The critical event person liable confirmation module is used for the confirmation when the equipment dependability event is critical event should The person liable of equipment dependability event, and record the person liable of the equipment dependability event.The critical event person liable is true Recognize in module, be previously stored with the mapping table of equipment and its corresponding person liable, which can be corresponding according to critical event The equipment query table find corresponding person liable, realize automatically recording for critical event person liable.
For the critical event (non-to stop event) that reliability event confirmation module confirmed, to guarantee critical event Life Cycle The integrality of information in phase need to carry out person liable's binding acknowledgement to it by critical event person liable confirmation module.Meanwhile the mould The execution of block can assist to realize the evaluation of the equipment Management Level of equipment responsible person concerned, be conducive to apparatus manager's discovering device The problem of Executive Team, and guides and solves the problems, such as, is conducive to the promotion of integral device management level.
Certainly, the critical event person liable confirmation module, which equally has, is manually entered interface, for providing to corresponding duty The manual confirmation interface let people.In this way, when the person liable of the equipment changes this can be changed by way of manual confirmation Person liable can also update the mapping table of above equipment and its corresponding person liable when necessary.
The critical event liability cause confirmation module is used to confirm when the equipment dependability event is critical event The cause of the equipment dependability event, and record the cause of the equipment dependability event.The equipment dependability event rises Because including causing component and initiation reason.
The determination for causing component and causing reason can be carried out by automatic, artificial or their combination.
In critical event liability cause confirmation module, be stored with critical event with cause component and initiation reason it is corresponding Relation table can correspond to one or more initiation components and one or more initiation reasons for a critical event.
And in data integration platform described above, not only it is stored with such as wind-powered electricity generation from fan monitoring system monitoring The data of unit are also stored with the operation data of all parts in the Wind turbines from fan monitoring system monitoring.
After determining critical event, the critical event liability cause confirmation module obtains relevant to the critical event The operation data of all parts, the operation data can be the operation within one section of predetermined time before Time To Event point Data, and analyze the operation data come be determined to be failure trouble unit and corresponding failure cause.Such as it is mentioned below Change slurry cell damage caused by unplanned outage event, it is described become slurry battery the event generation before a period of time in Voltage data may be extremely unstable, can judge that change slurry battery is related to the unplanned outage event in this way, and its The failure cause of voltage instability may be that battery is damaged;Then, the critical event liability cause confirmation module is based on described Critical event and the mapping table for causing component and initiation reason, search initiation component corresponding to the unplanned outage event It whether include the trouble unit, whether corresponding initiation reason includes the failure cause, if comprising automatically recording the failure Component and failure cause record, such as record in table discussed below.
Further, it is also possible to manually carry out, i.e., for the critical event for having found problem owner, needs the person liable to find and ask Reason is inscribed, and improves the generation part, liability cause, technical reason of problem by critical event liability cause confirmation module, is The reason of relevant issues statistical accumulation initial data, be conducive to relevant device, relevant issues critical event prediction and guidance change Direct problem.
The third mode is that automatic and artificial merging carries out, i.e. critical event liability cause confirmation module root as described above According to the fortune of critical event and the mapping table and all parts relevant with the critical event that cause component and initiation reason Row data determine preliminary trouble unit and failure cause (may have multiple), and are supplied to user using user interface and carry out Selection;User can select trouble unit and failure cause by the way that interface is manually entered, and can also input new trouble unit and event Hinder reason, form the final initiation component to be recorded and causes reason.
In addition, the critical event liability cause confirmation module can determine whether are the new trouble unit and failure cause Be present in it is described according to critical event and cause component and initiation reason mapping table in, if it does not, so by institute It states new trouble unit and failure cause increases in the mapping table, and by the new trouble unit and failure cause It is corresponding with the critical event.
It can be seen that this reliability management platform is built by various ways such as itself summary, expert's support, industry Zone Informations The experts database of a set of wind-powered electricity generation integrity problem components and reason is found.And it provides very intelligence and comprehensively judges automatically And artificial selection mode, it on the one hand can rapidly judge the specific component for causing event to occur and reason, on the one hand can give It gives user's selection and inputs more accurately to record and induce component and reason, but also can enrich in turn relevant to the event Event and reason.
The components that problem may occur include: common control equipment, blade, yaw system, main shaft, gear-box etc..It can The liability cause that can occur includes: planning and designing are inconsiderate, product quality is bad, construction and installation are bad, repair quality is bad etc..It can The technical reason that can occur includes: fracture fusing, loosening, bite, displacement, damage, failure, overload etc..
As described above, the critical event liability cause confirmation module, which equally has, is manually entered interface, for providing To the manual confirmation interface of corresponding responsibility reason.
In this way, by above equipment reliability management device, can get each information of recording equipment reliability event as Lower data form:
It can be seen that the equipment dependability incident management device combination wind farm device management system and managerial experiences, Innovative has carried out standardization, procedure, standardization to wind power equipment reliability management mode.It is controlled by information-based means Equipment reliability management process, to automatic collection to equipment dependability event state-event accuracy is confirmed, to warp Cross the thing that the critical event of state confirmation carries out person liable's confirmation, confirmed to the initiation component and initiation reason of critical event Part process flow.By above-mentioned standardized management workflow, the timely collection of reliability information concerning events, effectively preventing are supervised The loss of reliability event key message, ensure that the integrality of reliability event information.A large amount of complete history events and thing The accumulation of part information is conducive to the statistical analysis and the data mining that carry out big data quantity, is conducive to equipment person liable's equipment pipe Reason is horizontal to be objectively evaluated, and the promotion of equipment reliability management level is conducive to.
The equipment dependability evaluating apparatus is for being evaluated and being pointed out to equipment Management Level from a variety of critical angles Improve direction.
The reliability evaluation module includes the first submodule 3031, can for carrying out equipment according to equipment dependability event By property indicator-specific statistics and analysis, the evaluation of equipment health status is realized.Device status data is accumulated, reflects actual equipment health Situation reduces equipment " owing to repair " and " cross and repair ", improves the utilization rate of maintenance expense to determine the reasonable time between overhauls(TBO).Simultaneously Reflect actual equipment management situation, instructs the promotion of equipment Management Level.
Second submodule 3032, for uniting according to the unplanned outage business reasons angle in equipment dependability event Meter and analysis, equipment is non-stops business reasons for accumulation, so that the non-shut-down of equipment drop be made to shoot the arrow at the target.
Third submodule 3033, for carrying out reliability index statistics according to reliability event person liable, the personnel of realization can By property metrics evaluation, and the evaluation to equipment management personnel to equipment Management Level, peopleware and sense of responsibility are promoted It improves, helps to reinforce device management process control.
4th submodule 3034, for being counted according to equipment dependability unplanned outage event problem components angle And analysis, accumulation causes equipment the non-components situation for stopping event occur, so that overhaul of the equipments be instructed to work, faster positioning device Fault point.The selected of Spare Parts type selecting and supplier is also contributed to, and then passes through the raising of equipment purchase quality, is reduced The failure rate of equipment.
It is noted here that system described above, platform, device, module and submodule etc., may be by existing Soft and hardware and firmware techniques are realized that this is will be obvious to those skilled in the art that tool singularly or in combination The implementation of body repeats no more.
It can be seen that Import computer technology, big data interfacing, Network storage technology in scheme proposed by the present invention And information-based mode, high-quality, the efficient data integration platform of covering wind power plant is established, and to traditional equipment reliability management Mode is made that breakthrough, realizes the promotion to wind farm device management level, it has the following advantages:
1) high-quality and efficient wind farm data integrated platform is established, guarantees the standardization and safety of data acquisition, is guaranteed Unification, precision and the range of data storage, guarantee the real-time and accuracy of data call.
2) from convectional reliability data acquisition modes are breached at all, become it is artificial take passages facility information, count manually can It is the self registering acquisition mode of event by property data acquisition modes.
3) acquisition and management process of equipment dependability event have been standardized.Realize that equipment dependability improves, it is necessary to improve Equipment point-detecting working level and equipment Management Level, just must specification reliability event first management, accomplish the standard of management Change, procedure, standardization.
4) equipment reliability management system carries out the statistics of reliability index from multiple angles and is applied to equipment management, mentions The standardization of high equipment management control, real-time, and then facilitate the performance of facilities and equipments specific responsibility people, reach the mesh of personal management 's.
It will be understood by those skilled in the art that above merely for the purpose of illustration for the description of the specific embodiment of the invention, and Not as limiting the scope of the invention.Those skilled in the art can be when facing specific actual conditions to above-mentioned example Embodiment carries out adaptation, these modifications should also be as falling under the scope of the present invention.

Claims (7)

1. a kind of wind power equipment reliability management information system, it is characterised in that:
The system comprises data integration platform and reliability management platforms, in which:
Multiple fan monitoring systems that the data integration platform is used to be monitored each Wind turbines in wind power plant Fan monitoring data carry out unified collection;
The reliability management platform is connected to the data integration platform, the blower for collecting to the data integration platform Monitoring data is arranged and is analyzed, and the equipment dependability information of each Wind turbines of wind power plant is obtained;
The reliability management platform includes equipment dependability event acquisition device, equipment dependability incident management device and sets Standby reliability evaluation device;
The reliability event acquisition device is connected to the data integration platform, for combining the control of wind power station control system Mode, be acquired automatically by the real time data to the equipment correlated condition measuring point collected in data integration platform, compare and Logical operation determines the variation of the equipment running status automatically, records corresponding equipment dependability event;
The equipment dependability incident management device include reliability event confirmation module, critical event person liable confirmation module with And critical event liability cause confirmation module, in which:
The reliability event confirmation module is used to automatically confirm that the equipment dependability event of equipment dependability acquisition module acquisition Whether it is critical event, and will confirm that the event type of result i.e. critical event or critical events as equipment dependability event It records;And when for critical event, which is sent to critical event person liable's confirmation module and is carried out at next step Reason;
The critical event person liable confirmation module is used to automatically confirm that this when the equipment dependability event is critical event The person liable of equipment dependability event, and record the person liable of the equipment dependability event;
The critical event liability cause confirmation module is used to automatically confirm that when the equipment dependability event is critical event The cause of the equipment dependability event, and record the cause of the equipment dependability event.
2. system according to claim 1, it is characterised in that:
The reliability event confirmation module, critical event person liable confirmation module and critical event liability cause confirmation module All have and interface is manually entered, for carrying out manual confirmation to reliability event, person liable and liability cause.
3. system according to claim 1, it is characterised in that:
The equipment dependability evaluating apparatus is for evaluating equipment Management Level from multiple critical angles and pointing out to improve Direction.
4. system according to claim 3, it is characterised in that:
The equipment dependability evaluating apparatus includes:
First submodule realizes that equipment is strong for carrying out equipment dependability indicator-specific statistics and analysis according to equipment dependability event The evaluation of health situation;
Second submodule, for being counted and being divided according to the unplanned outage business reasons angle in equipment dependability event Analysis, equipment is non-stops business reasons for accumulation;
Third submodule realizes human reliability's index for carrying out reliability index statistics according to reliability event person liable Evaluation;And
4th submodule, for being counted and being analyzed according to equipment dependability unplanned outage event problem components angle, Accumulation causes equipment the non-components situation for stopping event occur.
5. system according to claim 1 to 4, it is characterised in that:
The data integration platform includes multiple fan monitoring systems, multiple data acquisition modules, data safety shielding system, more A data memory module and data storage terminal.
6. system according to claim 5, it is characterised in that:
The multiple data acquisition module is connected to multiple fan monitoring systems in wind power plant correspondingly, comes for obtaining From the fan monitoring information of fan monitoring system;
The data safety shielding system is connected between the multiple data acquisition module and multiple data memory modules, is used Physical isolation measure with guarantee data transmission safety;
The multiple data memory module and the multiple data acquisition module correspond, for controlling the fan monitoring letter Interest statement to by the data safety shielding system to store the data storage terminal;
The data storage terminal is connected to the multiple data memory module, for saving from multiple data acquisition modules Fan monitoring information.
7. system according to claim 6, it is characterised in that:
The data storage terminal includes primary data store terminal and standby data storage terminal, the primary data store terminal and standby Each of data storage terminal is connect with the multiple data memory module, and the primary data store terminal and standby data are deposited Storage terminal is interconnected also by active and standby line connecting terminal;And
The reliability management platform default extracts data from primary data store terminal, in primary data store terminal fault, from Standby data storage terminal extracts data.
CN201610395503.2A 2016-06-03 2016-06-03 Wind power equipment reliability management information system Expired - Fee Related CN106094790B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610395503.2A CN106094790B (en) 2016-06-03 2016-06-03 Wind power equipment reliability management information system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610395503.2A CN106094790B (en) 2016-06-03 2016-06-03 Wind power equipment reliability management information system

Publications (2)

Publication Number Publication Date
CN106094790A CN106094790A (en) 2016-11-09
CN106094790B true CN106094790B (en) 2018-12-07

Family

ID=57447242

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610395503.2A Expired - Fee Related CN106094790B (en) 2016-06-03 2016-06-03 Wind power equipment reliability management information system

Country Status (1)

Country Link
CN (1) CN106094790B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107341630B (en) * 2017-06-01 2021-01-15 中广核核电运营有限公司 Equipment obsolete spare part management system and method
CN108594782B (en) * 2018-06-28 2023-11-28 苏州鼎佳炉窑科技有限公司 Intelligent self-diagnosis system of periodic aluminum coiled material nitrogen annealing furnace

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1172717A2 (en) * 2000-07-11 2002-01-16 Komatsu Ltd. System, method, computer program, and recording medium for machine-management
DE10237748A1 (en) * 2002-08-17 2004-03-11 Abb Patent Gmbh Method for optimized evaluation of maintenance strategies e.g. for buildings electrical power systems
CN1916949A (en) * 2006-09-06 2007-02-21 曾德华 Support system for evaluating status of electric power equipments, and maintaining strategy
CN103489132A (en) * 2013-09-03 2014-01-01 吉林省电力科学研究院有限公司 Wind power plant reliability evaluating system
CN105207197A (en) * 2015-07-31 2015-12-30 南京工程学院 Reliability evaluation method for electric power system containing wind power plant

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1172717A2 (en) * 2000-07-11 2002-01-16 Komatsu Ltd. System, method, computer program, and recording medium for machine-management
DE10237748A1 (en) * 2002-08-17 2004-03-11 Abb Patent Gmbh Method for optimized evaluation of maintenance strategies e.g. for buildings electrical power systems
CN1916949A (en) * 2006-09-06 2007-02-21 曾德华 Support system for evaluating status of electric power equipments, and maintaining strategy
CN103489132A (en) * 2013-09-03 2014-01-01 吉林省电力科学研究院有限公司 Wind power plant reliability evaluating system
CN105207197A (en) * 2015-07-31 2015-12-30 南京工程学院 Reliability evaluation method for electric power system containing wind power plant

Also Published As

Publication number Publication date
CN106094790A (en) 2016-11-09

Similar Documents

Publication Publication Date Title
US10116165B2 (en) Powergrid operation and supervision system
CN106533754A (en) Fault diagnosis method and expert system for college teaching servers
DE212016000186U1 (en) simulation system
CN109149565A (en) Electric integrated management-control method, system, server and storage medium
CN102663537A (en) Maintenance system of power equipment based on risk assessment
CN104638764A (en) Intelligent state diagnosis and overhauling system for power distribution network equipment
CN110046145A (en) Expert intelligence Analysis Service platform based on electric flux big data research
CN103578039B (en) A kind of power networks risk prewarning analysis system
CN113708493B (en) Cloud edge cooperation-based power distribution terminal operation and maintenance method and device and computer equipment
US10539934B2 (en) Outage and switch management for a power grid system
CN107798479B (en) Knowledge management system based on full life cycle integrated knowledge experience information
CN104850934A (en) Meteorological device maintenance and repair management system
CN104778548A (en) Comprehensive evaluation method for operation monitoring of comprehensive atmospheric observing system
CN106094790B (en) Wind power equipment reliability management information system
CN103049365B (en) Information and application resource running state monitoring and evaluation method
CN106570567A (en) Main network maintenance multi-constraint multi-target evaluation expert system and optimization method
CN109885019A (en) A kind of fan condition automatic judging method
CN110941558B (en) Intelligent office remote operation and maintenance method and system
CN206977446U (en) A kind of transformer station's operation platform automatic fault diagnosis and quick recovery system
CN102195341B (en) Device for evaluating, analyzing and processing reliability of transmission system
CN105528738A (en) Thermal power plant running standardized management system and method
CN109711660A (en) Multiple terminals team management system and its management method
CN108921308A (en) A kind of numerically-controlled machine tool total management system
CN109472449A (en) Urban Rail Transit Signal equipment health status evaluation method based on group decision
DE112017005183T5 (en) Leadership information presentation system, leadership information presentation method, program and leadership information presentation apparatus

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB03 Change of inventor or designer information

Inventor after: Xu Chun

Inventor after: Gou Yanxu

Inventor after: Tian Lizhu

Inventor after: Liu Pengfei

Inventor after: Guo Jun

Inventor after: Cheng Long

Inventor after: A Qitu

Inventor after: Liang Youdong

Inventor after: Jiang Zhiwen

Inventor after: Wang Zhiqiang

Inventor after: Xu Jiayu

Inventor after: Yu Yang

Inventor after: Wu Chaohe

Inventor after: Gao Yulong

Inventor before: A Qitu

Inventor before: Tian Lizhu

Inventor before: Liu Pengfei

Inventor before: Guo Jun

Inventor before: Cheng Long

Inventor before: Jiang Zhiwen

Inventor before: Wang Zhiqiang

Inventor before: Liang Youdong

Inventor before: Xu Jiayu

Inventor before: Yu Yang

Inventor before: Wu Chaohe

Inventor before: Gao Yulong

Inventor before: Gou Yanxu

CB03 Change of inventor or designer information
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20181207

Termination date: 20200603

CF01 Termination of patent right due to non-payment of annual fee