CN109164784A - Wind-driven generator O&M method, apparatus and system based on big data cloud service - Google Patents
Wind-driven generator O&M method, apparatus and system based on big data cloud service Download PDFInfo
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- CN109164784A CN109164784A CN201810960159.6A CN201810960159A CN109164784A CN 109164784 A CN109164784 A CN 109164784A CN 201810960159 A CN201810960159 A CN 201810960159A CN 109164784 A CN109164784 A CN 109164784A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0264—Control of logging system, e.g. decision on which data to store; time-stamping measurements
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
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Abstract
The wind-driven generator O&M method based on big data cloud service that the invention discloses a kind of, the fault data of wind-driven generator in long-range wind power plant can be obtained, and judge local Cloud Server with the presence or absence of identical historical failure data, if it exists, historical failure data is otherwise pushed to O&M engineer with regard to obtaining corresponding O&M scheme, so that O&M engineer provides O&M scheme, the operation maintenance personnel that is finally pushed to O&M scheme in long-range wind power plant.It can be seen that, this method can obtain the fault data of wind-driven generator in long-range wind power plant, and by searching for historical data or manually provide O&M scheme, it does not need that professional O&M engineer is sent to garrison long-range wind power plant, reduce O&M cost, and the backstage that do not need to seek help improves O&M efficiency by responsibility circulation searching O&M scheme.In addition, the present invention also provides a kind of wind-driven generator O&M apparatus and system based on big data cloud service, acts on corresponding with the effect of the above method.
Description
Technical field
The present invention relates to industrial circle, in particular to a kind of wind-driven generator O&M method based on big data cloud service,
Apparatus and system.
Background technique
With the reduction of the resources such as coal, petroleum, people increasingly pay attention to the utilization of renewable energy.Wind energy is as a kind of
Renewable energy is increasingly valued by people.Chinese Regional is vast, and wind energy accumulates rich content, and still, wind energy resources are abundant
Area it is general all more remote, therefore the publication of wind-driven generator is more remote.
Under normal conditions, to the O&M of wind-driven generator, the wind field O&M engineer of profession is usually arranged to garrison wind-force
Generating field relies on wind field O&M engineer according to experience and judges that trouble location determines when wind-driven generator breaks down
Technical solution, also need sometimes by make a phone call or the modes such as log mail seek help backstage, then back office press department's responsibility
Circulation, locking trouble location, offer technical solution, goods and materials preparation etc..
Wind field O&M cost is mainly made of two large divisions: spare parts cost and O&M engineer's human cost, in general, often
A wind field needs four O&M engineers, and O&M engineer generally requires and could be competent at by study at least 3 years, causes
Human cost is larger.In addition, when O&M engineer can not determine O&M scheme in time, it is also necessary to which backstage of seeking help carries out responsibility stream
Turn just to can determine that O&M scheme, take a long time, efficiency is lower.
Summary of the invention
The object of the present invention is to provide a kind of wind-driven generator O&M method, apparatus based on big data cloud service and it is
System, to solve the problems, such as that traditional wind O&M method efficiency is lower, human cost is higher.
In order to solve the above technical problems, the present invention provides a kind of wind-driven generator O&M sides based on big data cloud service
Method, comprising:
Obtain the fault data of wind-driven generator in long-range wind power plant；
Judge that local Cloud Server whether there is historical failure data identical with the fault data；
If it exists, then the corresponding O&M scheme of the historical failure data is obtained；
If it does not exist, then the fault data is pushed to O&M engineer, in order to which the O&M engineer analyzes institute
It states fault data and provides O&M scheme；
The O&M scheme is pushed to the operation maintenance personnel of the long-range wind power plant.
Wherein, the local Cloud Server of the judgement whether there is historical failure data packet identical with the fault data
It includes:
Judge whether the fault data is that failure is settled and puts data on record；
If so, the data of putting on record are saved in local Cloud Server；
Otherwise, judge local Cloud Server with the presence or absence of historical failure data identical with the fault data.
Wherein, the judgement local includes: with the presence or absence of historical failure data identical with the fault data
The fault data is analyzed, determines trouble location and fault type；
According to the trouble location and fault type, judge local with the presence or absence of history identical with the fault data
Fault data.
Wherein, described the fault data is pushed to O&M engineer to include:
According to the trouble location and the fault type, corresponding O&M engineer is determined；
The fault data is pushed to the O&M engineer.
Wherein, it is described the O&M scheme is pushed to the operation maintenance personnel of the long-range wind power plant after, also wrap
It includes:
Receive the O&M result that the operation maintenance personnel is sent；
Judge whether the O&M result is O&M success；
If so, recording the fault data and being pushed to the O&M scheme of the operation maintenance personnel；
If it is not, then marking the fault data for emphasis fault data, and it is pushed to the O&M engineer again.
Wherein, the fault data for obtaining wind-driven generator in long-range wind power plant includes:
Obtain the fault data of the wind-driven generator in long-range wind power plant in SCADA equipment.
In addition, the present invention also provides a kind of wind-driven generator O&M device based on big data cloud service, comprising:
Fault data obtains module: for obtaining the fault data of wind-driven generator in long-range wind power plant；
Fault data judgment module: for judging local Cloud Server with the presence or absence of history identical with the fault data
Fault data；
O&M scheme obtains module: for judging local Cloud Server in the presence of history identical with the fault data
When fault data, the corresponding O&M scheme of the historical failure data is obtained；
Fault data pushing module: for judging local Cloud Server, there is no history identical with the fault data
When fault data, the fault data is pushed to O&M engineer, in order to which the O&M engineer analyzes the number of faults
According to and provide O&M scheme；
O&M scheme pushing module: for the O&M scheme to be pushed to the O&M people of the long-range wind power plant
Member.
Finally, the present invention also provides a kind of wind-driven generator operational systems based on big data cloud service, comprising:
Wind-driven generator, remote failure data acquisition equipment and local Cloud Server；
Wherein, the remote failure data acquisition equipment is used to acquire the wind-power electricity generation positioned at long-range wind power plant
The fault data of machine；
The local Cloud Server judges whether there is identical as the fault data for obtaining the fault data
Historical failure data, and if it exists, then obtain the corresponding O&M scheme of the historical failure data, if it does not exist, then will be described
Fault data is pushed to O&M engineer, in order to which the O&M engineer analyzes the fault data and provides O&M scheme,
It is also used to for the O&M scheme being pushed to the operation maintenance personnel of the long-range wind power plant.
Wherein, the remote failure data acquisition equipment is SCADA equipment.
Wherein, the local Cloud Server is specifically used for obtaining the number of faults in the SCADA equipment by VPN
Firewall is provided with according between, the SCADA equipment and the local Cloud Server.
A kind of wind-driven generator O&M method based on big data cloud service provided by the present invention, can obtain distance air
The fault data of wind-driven generator in power generating field, and judge that local Cloud Server whether there is identical historical failure data,
If it exists, the corresponding O&M scheme of the historical failure data is just obtained, otherwise, historical failure data is pushed to O&M engineering
Teacher, so that O&M engineer provides O&M scheme, the operation maintenance personnel that is finally pushed to O&M scheme in long-range wind power plant.
As it can be seen that this method can obtain the fault parameter of wind-driven generator in long-range wind power plant, and by searching for historical data or people
Work provides O&M scheme, does not need that multi-specialized O&M engineer was sent to garrison in long-range wind power plant, reduces O&M people
Power cost, and the back office that do not need to seek help substantially increases O&M efficiency then by responsibility circulation searching O&M scheme.
In addition, the present invention also provides a kind of wind-driven generator O&M apparatus and system based on big data cloud service,
Effect is corresponding with the effect of the above method, and which is not described herein again.
Detailed description of the invention
It, below will be to embodiment or existing for the clearer technical solution for illustrating the embodiment of the present invention or the prior art
Attached drawing needed in technical description is briefly described, it should be apparent that, the accompanying drawings in the following description is only this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of realization of the wind-driven generator O&M embodiment of the method based on big data cloud service provided by the invention
Flow chart；
Fig. 2 is a kind of structure of the wind-driven generator O&M Installation practice based on big data cloud service provided by the invention
Block diagram；
Fig. 3 is a kind of structure of the wind-driven generator operational system embodiment based on big data cloud service provided by the invention
Block diagram.
Specific embodiment
Core of the invention is to provide a kind of wind-driven generator O&M method, apparatus based on big data cloud service and is
System, improves O&M efficiency, reduces O&M cost.
In order to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiments are only a part of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
Below to a kind of wind-driven generator O&M embodiment of the method progress based on big data cloud service provided by the invention
It introduces, referring to Fig. 1, this method embodiment is specifically included:
Step S101: the fault data of wind-driven generator in long-range wind power plant is obtained.
In the present embodiment, the operation maintenance personnel of long-range wind power plant can be real-time by the fault data of wind-driven generator manually
Upload to local Cloud Server, such as local Cloud Server is sent for fault data by cell phone application or PC.Certainly,
Remote failure data acquisition equipment can also be set in long-range wind power plant, and then automatically be sent out fault data using the equipment
It is sent to local Cloud Server.
Specifically, the remote failure data acquisition equipment can be SCADA equipment.SCADA(Supervisory
Control And Data Acquisition) equipment, i.e. data acquisition and monitoring control equipment.Its application field is very wide, can
It is all with the data acquisition and monitoring control and the process control etc. that are applied to the fields such as electric system, water supply system, petroleum, chemical industry
It is multi-field.
Herein on basis, the fault data for being sent to local Cloud Server may include two following situations:
Situation one: the operation maintenance personnel in long-range wind power plant can determine O&M scheme according to fault message, and lead to
It crosses and executes the O&M scheme, successfully relieve the failure.In this case, operation maintenance personnel still can be by the fault data
It is sent to local Cloud Server, puts data on record as one kind.When data are put in transmission on record, operation maintenance personnel can be to labeling it as
Failure is settled to put data on record, while sending the O&M scheme for solving the failure, in order to subsequent reference.
Situation two: the operation maintenance personnel in long-range wind power plant cannot determine O&M scheme according to fault message, this
Under situation, operation maintenance personnel can be to labeling it as the unsolved fault data of failure.
Step S102: judge that local Cloud Server whether there is historical failure data identical with the fault data.
According to above two situation, after obtaining fault data, can first judge whether the fault data is failure
It is settled to put data on record；If so, the data of putting on record are saved in local Cloud Server；Otherwise, judge local cloud service
Device whether there is historical failure data identical with the fault data.
It is noted that so-called historical failure data refers to recording in local server previous in the present embodiment
It solves the fault data of failure problems by some O&M scheme, above-mentioned historical failure had both been saved in local Cloud Server
Data also save O&M scheme corresponding with the historical failure data.
In addition, may include fault time or wind-driven generator flag information etc. in fault data, for history event
Barrier data and fault data, the partial data for reacting these information are likely to be different, and in the present embodiment, so-called and failure
The identical historical failure data of data refers to the partial data phase that failure problems are described in fault data and historical failure data
Together.
Step S103: if it exists, then the corresponding O&M scheme of the historical failure data is obtained.
Specifically, can determine trouble location and fault type, and then according to described by analyzing the fault data
Trouble location and fault type judge local with the presence or absence of historical failure data identical with the fault data.
Step S104: if it does not exist, being then pushed to O&M engineer for the fault data, in order to the O&M engineering
Teacher analyzes the fault data and provides O&M scheme.
In order to improve O&M efficiency, can to the O&M engineer for matching the field according to fault data, specifically, according to
The trouble location and the fault type, determine corresponding O&M engineer, and the fault data are pushed to described
O&M engineer.
Step S105: the O&M scheme is pushed to the operation maintenance personnel of the long-range wind power plant.
For local Cloud Server, on the one hand, settled failure problems can be obtained from each long-range wind power plant
Fault data and corresponding O&M scheme, specifically, can also be according to fault type to these fault datas and O&M scheme
Classified and summarized, in order to subsequent lookup and reference.
It on the other hand, can be with according to the unsolved fault data of failure problems obtained from each long-range wind power plant
By searching for local Cloud Server or by professional O&M engineer analysis, O&M scheme is determined.O&M scheme is pushed to
After the operation maintenance personnel of long-range wind power plant, operation maintenance personnel can execute the O&M scheme to wind-driven generator, and judgement is
No solution failure problems, and local Cloud Server is sent by judging result.If it is judged that solved for failure problems, that
Local Cloud Server will save the fault data and O&M scheme, and otherwise, local Cloud Server will again push away fault data
The O&M engineer of profession is given, until Resolving probiems.
In conclusion a kind of wind-driven generator O&M method based on big data cloud service, energy provided by the present embodiment
The fault data of wind-driven generator in long-range wind power plant is enough obtained, and judges that local Cloud Server is gone through with the presence or absence of identical
History fault data, and if it exists, just obtain the corresponding O&M scheme of the historical failure data and otherwise push historical failure data
O&M engineer is given, so that O&M engineer provides O&M scheme, finally O&M scheme is pushed in long-range wind power plant
Operation maintenance personnel.As it can be seen that this method can obtain the fault parameter of wind-driven generator in long-range wind power plant, and by searching for going through
History data manually provide O&M scheme, do not need that multi-specialized O&M engineer was sent to garrison in long-range wind power plant, drop
Low O&M human cost, and then the back office that do not need to seek help is circulated by responsibility and finds O&M scheme, substantially increase
O&M efficiency.
Below to a kind of wind-driven generator O&M device implementation based on big data cloud service provided in an embodiment of the present invention
Example is introduced, a kind of wind-driven generator O&M device based on big data cloud service described below and above-described one kind
Wind-driven generator O&M method based on big data cloud service can correspond to each other reference.Referring to fig. 2, which specifically wraps
It includes:
Fault data obtains module 201: for obtaining the fault data of wind-driven generator in long-range wind power plant.
Fault data judgment module 202: for judging local Cloud Server with the presence or absence of identical with the fault data
Historical failure data.
O&M scheme obtains module 203: for judging that it is identical with the fault data that local Cloud Server exists
When historical failure data, the corresponding O&M scheme of the historical failure data is obtained.
Fault data pushing module 204: for judging local Cloud Server, there is no identical with the fault data
When historical failure data, the fault data is pushed to O&M engineer, in order to the O&M engineer analysis event
Barrier data simultaneously provide O&M scheme.
O&M scheme pushing module 205: for the O&M scheme to be pushed to the O&M of the long-range wind power plant
Personnel.
A kind of wind-driven generator O&M device based on big data cloud service provided in this embodiment is for realizing above-mentioned
A kind of wind-driven generator O&M method based on big data cloud service, therefore the specific embodiment in the device is visible hereinbefore
A kind of wind-driven generator O&M method based on big data cloud service embodiment part, for example, fault data obtain module
201, fault data judgment module 202, O&M scheme obtain module 203, fault data pushing module 204, the push of O&M scheme
Module 205 is respectively used to realize step S101 in a kind of above-mentioned wind-driven generator O&M method based on big data cloud service,
S102, S103, S104, S105.So specific embodiment is referred to the description of corresponding various pieces embodiment,
This not reinflated introduction.
In addition, since a kind of wind-driven generator O&M device based on big data cloud service provided in this embodiment is for real
A kind of existing wind-driven generator O&M method based on big data cloud service above-mentioned, therefore the effect phase of its effect and the above method
Corresponding, which is not described herein again.
In addition, the present invention also provides a kind of wind-driven generator operational system embodiment based on big data cloud service, such as
Shown in Fig. 3, which includes:
Wind-driven generator 100, remote failure data acquisition equipment 200 and local Cloud Server 300.
Wherein, the remote failure data acquisition equipment 200 is used to acquire the wind-force positioned at long-range wind power plant
The fault data of generator 100；The local Cloud Server 300 for obtaining the fault data, and judge whether there is with
The identical historical failure data of the fault data, and if it exists, the corresponding O&M scheme of the historical failure data is then obtained, if
It is not present, then the fault data is pushed to O&M engineer, in order to which the O&M engineer analyzes the fault data
And O&M scheme is provided, it is also used to for the O&M scheme being pushed to the operation maintenance personnel of the long-range wind power plant.
Wherein, the remote failure data acquisition equipment is SCADA equipment.
Specifically, the local Cloud Server can obtain the fault data in the SCADA equipment by VPN,
Firewall can be set between the SCADA equipment and the local Cloud Server.
It is provided in this embodiment it is a kind of based on the wind-driven generator operational system of big data cloud service for realizing above-mentioned
A kind of wind-driven generator O&M method based on big data cloud service may refer to the above method for its specific embodiment
The description of embodiment, not reinflated introduction here, furthermore its effect is corresponding with the effect of the above method, also no longer superfluous here
It states.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with it is other
The difference of embodiment, same or similar part may refer to each other between each embodiment.For being filled disclosed in embodiment
For setting, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part
Explanation.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
To a kind of wind-driven generator O&M method, apparatus based on big data cloud service provided by the present invention and it is above
System is described in detail.Used herein a specific example illustrates the principle and implementation of the invention, above
The explanation of embodiment is merely used to help understand method and its core concept of the invention.It should be pointed out that for the art
Those of ordinary skill for, without departing from the principle of the present invention, can also to the present invention carry out it is several improvement and repair
Decorations, these improvements and modifications also fall within the scope of protection of the claims of the present invention.
Claims (10)
1. a kind of wind-driven generator O&M method based on big data cloud service characterized by comprising
Obtain the fault data of wind-driven generator in long-range wind power plant；
Judge that local Cloud Server whether there is historical failure data identical with the fault data；
If it exists, then the corresponding O&M scheme of the historical failure data is obtained；
If it does not exist, then the fault data is pushed to O&M engineer, in order to the O&M engineer analysis event
Barrier data simultaneously provide O&M scheme；
The O&M scheme is pushed to the operation maintenance personnel of the long-range wind power plant.
2. the method as described in claim 1, which is characterized in that the local Cloud Server of the judgement whether there is and the failure
The identical historical failure data of data includes:
Judge whether the fault data is that failure is settled and puts data on record；
If so, the data of putting on record are saved in local Cloud Server；
Otherwise, judge local Cloud Server with the presence or absence of historical failure data identical with the fault data.
3. the method as described in claim 1, which is characterized in that the judgement is locally with the presence or absence of identical as the fault data
Historical failure data include:
The fault data is analyzed, determines trouble location and fault type；
According to the trouble location and fault type, judge local with the presence or absence of historical failure identical with the fault data
Data.
4. method as claimed in claim 3, which is characterized in that described that the fault data is pushed to O&M engineer packet
It includes:
According to the trouble location and the fault type, corresponding O&M engineer is determined；
The fault data is pushed to the O&M engineer.
5. method as claimed in claim 4, which is characterized in that the O&M scheme is pushed to the long-range wind-force described
After the operation maintenance personnel of generating field, further includes:
Receive the O&M result that the operation maintenance personnel is sent；
Judge whether the O&M result is O&M success；
If so, recording the fault data and being pushed to the O&M scheme of the operation maintenance personnel；
If it is not, then marking the fault data for emphasis fault data, and it is pushed to the O&M engineer again.
6. the method as described in claim 1-5 any one, which is characterized in that described to obtain wind-force in long-range wind power plant
The fault data of generator includes:
Obtain the fault data of the wind-driven generator in long-range wind power plant in SCADA equipment.
7. a kind of wind-driven generator O&M device based on big data cloud service characterized by comprising
Fault data obtains module: for obtaining the fault data of wind-driven generator in long-range wind power plant；
Fault data judgment module: for judging local Cloud Server with the presence or absence of historical failure identical with the fault data
Data；
O&M scheme obtains module: for judging local Cloud Server in the presence of historical failure identical with the fault data
When data, the corresponding O&M scheme of the historical failure data is obtained；
Fault data pushing module: for judging local Cloud Server, there is no historical failures identical with the fault data
When data, the fault data is pushed to O&M engineer, in order to which the O&M engineer analyzes the fault data simultaneously
Provide O&M scheme；
O&M scheme pushing module: for the O&M scheme to be pushed to the operation maintenance personnel of the long-range wind power plant.
8. a kind of wind-driven generator operational system based on big data cloud service characterized by comprising
Wind-driven generator, remote failure data acquisition equipment and local Cloud Server；
Wherein, the remote failure data acquisition equipment is used to acquire the wind-driven generator positioned at long-range wind power plant
Fault data；
The local Cloud Server judges whether there is go through identical with the fault data for obtaining the fault data
History fault data, and if it exists, the corresponding O&M scheme of the historical failure data is then obtained, if it does not exist, then by the failure
Data-pushing gives O&M engineer, in order to which the O&M engineer analyzes the fault data and provides O&M scheme, also uses
In the operation maintenance personnel that the O&M scheme is pushed to the long-range wind power plant.
9. system as claimed in claim 8, which is characterized in that the remote failure data acquisition equipment is SCADA equipment.
10. system as claimed in claim 9, which is characterized in that the local Cloud Server is specifically used for obtaining institute by VPN
The fault data in SCADA equipment is stated, is provided with firewall between the SCADA equipment and the local Cloud Server.
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