CN105509728A - Photovoltaic power station failure equipment navigation method and system - Google Patents
Photovoltaic power station failure equipment navigation method and system Download PDFInfo
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- CN105509728A CN105509728A CN201510729769.1A CN201510729769A CN105509728A CN 105509728 A CN105509728 A CN 105509728A CN 201510729769 A CN201510729769 A CN 201510729769A CN 105509728 A CN105509728 A CN 105509728A
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- 238000000034 method Methods 0.000 title claims abstract description 7
- 230000008878 coupling Effects 0.000 claims description 9
- 238000010168 coupling process Methods 0.000 claims description 9
- 238000005859 coupling reaction Methods 0.000 claims description 9
- 238000010248 power generation Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 abstract description 7
- 238000012937 correction Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 5
- 238000013461 design Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007257 malfunction Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012958 reprocessing Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/005—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 with correlation of navigation data from several sources, e.g. map or contour matching
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
Abstract
The present invention discloses a photovoltaic power station failure equipment navigation method and system, failure types of photovoltaic equipment are inputted into a database to corresponding to corresponding failure characteristic data, and the failure characteristic data is introduced into an expert database; when an equipment failure occurs, according to a failure position, data of associated front-stage and rear-stage equipment can be searched, the data of associated front-stage and rear-stage equipment is contrasted with the failure characteristic data in the expert database, if the data is matched, the failure type is diagnosed; if no characteristic data is matched with the data, the data is stored into a non-expert database, and after the failure type is analyzed, the failure type and the failure characteristic data are introduced into the expert database; ID of failure equipment is received, a ID number is matched with a corresponding equipment position, according to a geometric matching navigation algorithm, a path is planed, and an automatic navigation state is entered. The method significantly reduces time for seeking the failure equipment, and improves operation and maintenance efficiency.
Description
Technical field
The present invention relates to a kind of photo-voltaic power generation station faulty equipment air navigation aid and system.
Background technology
At present, at photovoltaic plant, particularly in big-and-middle-sized power station, equipment is numerous, position also disperses very much, what have is dispersed in circumference several kilometers, when equipment breaks down, first needs the position of searching equipment place, because scope is very large, if to the unfamiliar words of device location, needing takes long to searches equipment, has a strong impact on the efficiency of generating.
Summary of the invention
Technical matters to be solved by this invention is, not enough for prior art, provides a kind of photo-voltaic power generation station faulty equipment air navigation aid and system.
For solving the problems of the technologies described above, the technical solution adopted in the present invention is: a kind of photo-voltaic power generation station faulty equipment air navigation aid, comprises the following steps:
1) by the fault type input database of each photovoltaic apparatus, corresponding corresponding fault signature data, and by described fault signature data importing experts database;
2) after equipment failure occurs, according to location of fault, the data of the front stage equipment be associated are searched, the fault signature data of contrast experts database, if any matched data, then tracing trouble type; As without characteristic coupling, then data are stored into non-expert storehouse, after analysis of failure, fault type and characteristic are imported experts database;
3) receive the ID of faulty equipment, No. ID device location corresponding with it is mated, according to geometric match air navigation aid, carries out path planning, enter automatic navigation mode.
Described fault signature data comprise voltage jump, current break.
The data of described front stage equipment comprise voltage, electric current.
Realize a system for said method, comprising:
Data server: for gathering the data message of each photovoltaic apparatus, by the fault type input database of each photovoltaic apparatus, corresponding corresponding fault signature data, and by described fault signature data importing experts database, and after photovoltaic apparatus breaks down, according to location of fault, search the data of the front stage equipment be associated, the fault signature data of contrast experts database, if any matched data, then tracing trouble type; As without characteristic coupling, then data are stored into non-expert storehouse, after analysis of failure, fault type and characteristic are imported experts database;
Portable navigation terminal: for the positional information of photovoltaic apparatus being inputted in map corresponding to portable navigation terminal, receive the ID of faulty equipment, by No. ID corresponding with it device location coupling, carry out path planning according to geometric match air navigation aid, enter automatic navigation mode.
Compared with prior art, the beneficial effect that the present invention has is: by the positional information of all devices of photo-voltaic power generation station, (positional information is generated by construction design drawing in advance in the present invention, precision accuracy is high) in the map of input system, once equipment breaks down, malfunction is by existing communication mode, arrive daemon software, software is according to faulty equipment No. ID, the equipment that search is corresponding and positional information, just can the position of equipment be positioned in map, enter self-navigation pattern, operation and maintenance personnel according to the map self-navigation to faulty equipment position, greatly save the time of looking up the fault equipment, improve the efficiency of operation maintenance.
Accompanying drawing explanation
Fig. 1 is navigational system structured flowchart of the present invention.
Embodiment
No matter the present invention is directed at present is big-and-middle-sized surface power station or distributed power station, because equipment is many, distribute the feature such as wide, once equipment breaks down, locating needs the telephone expenses long period with the position of searching equipment, particularly concerning the new hand of operation maintenance, more difficult.Based on the problems referred to above, invention one is applied to photovoltaic generation station equipment positioning system, in advance by the map in all devices input system of photo-voltaic power generation station, once equipment breaks down, just can the position of equipment be positioned in map, enter self-navigation pattern, operation and maintenance personnel according to the map self-navigation to faulty equipment position.Greatly save the time of looking up the fault equipment, promote the efficiency of operation maintenance.
Portable navigation terminal (mobile phone or special electronic navigator) built-in photovoltaic generation is at distribution electronic chart, and this distribution electronic chart is shown by described portable navigation terminal; It is characterized in that described portable electronic navigation terminal is by arranging device location, identify at storing map upper incoming line, and once there is equipment failure, data server by GPS and mobile communication mouth by faulty equipment Position input to portable navigation terminal, position and self-navigation.
This system is made up of such as lower component:
Data server, the map on data server arranges software, device data acquisition software, data outgoing software (when equipment breaks down, facility information being sent to portable navigation terminal), portable navigation terminal, and navigation software.
Data server 1, as the Information clearing-house of whole system, is equipped with three professional softwares thereon: device location arranges software 2, device data acquisition software 3, data outgoing software 4.Data server 1 one aspect is connected with internet, can send data outward, has on the other hand and carries out data monitoring to equipment various in photovoltaic plant.
Device location arranges software 2 and realizes device location information setting, after whole design of photovoltaic power station completes, by the map of equipment (photovoltaic module, header box, inverter, the alternating current-direct current power distribution cabinet) positional information of correspondence input portable navigation terminal 5 correspondence and will with data server communication interface parameters input portable navigation terminal 5.
Device data acquisition software 3 realizes carrying out acquisition process to the data of each equipment of photovoltaic plant, and conduct is from machine in modbus agreement for each equipment of photovoltaic plant, and device data acquisition software, as modbus protocol host, gathers each device data.
Data outgoing software 4 realizes faulty equipment information transmission in portable navigation terminal 5.
Portable navigation terminal 5 realizes the functions such as faulty equipment location, navigation, voice message.After receiving the data of data outgoing software 4, localizing faults equipment, carries out voice message, navigates in Lookup protocol path.
Navigation software 6 realizes navigation feature.
Daemon software 7 realize carry out voice message, and by data and navigation software 6 interconnected.
Performing step of the present invention is as follows:
After design of photovoltaic power station completes, relevant device layout points is determined complete, arranges software, inputted in map reference by device location by the map on data server.
The device data of photovoltaic plant, through data collection station, by equipment acquisition software, data server gathers the data message of each equipment of power station.
The fault status information of each equipment of outgoing software Real-Time Monitoring on data server, once equipment breaks down, backstage fault diagnosis algorithm carries out diagnostic analysis to historical data and fault data, obtains fault type and indicative handling suggestion and the instrument needed for handling failure, spare unit; The ID of equipment is sent to portable navigation terminal simultaneously.
Fault diagnosis algorithm--Multi Expert Decision Making Algorithms implementation is as follows:
Multi Expert Decision Making Algorithms is a kind of study mechanism, the prediction that it provides according to one group of expert, provides a comprehensive prediction, and according to the continuous adjustable strategies of actual value, enable, in the worst cases as far as possible close to the scholarly forecast of " the best ", to draw required fault type and handling suggestion.
Algorithm ultimate principle is as follows:
Multi-expert decision problem M can be expressed as a tlv triple M=(X, Y, Z).Wherein X is decision domain, and Y is expert decision-making space, and Z is actual output region.Multi-expert decision-making is exactly to arbitrary input x ∈ X, according to decision-making y (i) the ∈ Y of n expert, i=1,2 ..., n, provide decision-making r ∈ Y, and according to the difference of reality output z ∈ Z and decision-making r, strategy is adjusted, later decision-making is exported closer to reality.
Decision domain is divided into m sub-decision domain X (k) by algorithm, k=1, and 2 ..., m, has X=X1 ∪ X2 ∪ ... ∪ Xm and Xp ∩ Xq=U, wherein p ≠ q.Algorithm is that each decision domain of each expert distributes weights, w (i) (k) >=0,1≤i≤n, 1≤k≤m.If be input as x (j) during jth time decision-making, i-th expert decision-making is y (j), i-th expert is w (j) ik at the weights of a kth sub-decision domain, and the decision-making that algorithm is made is r (j), and actual output is z (j).
The performing step of algorithm is as follows:
First by the fault type input database of each photovoltaic apparatus, corresponding corresponding fault signature data, as the sudden change of voltage, electric current.Be arranged to typical experts database.
Then, after equipment failure produces, algorithm, according to location of fault, searches the data of the front stage equipment be associated, as voltage, electric current, and the characteristic of contrast experts database, if any matched data, then tracing trouble type; As without characteristic coupling, then data are stored into non-expert storehouse, after manual analysis fault, fault type and characteristic are imported experts database.Enrich experts database type.
Moreover accordingly after tracing trouble result, fault type is formed indicative suggestion, instrument, spare unit required when informing processor's handling failure, waste time in order to avoid return reprocessing.
After portable navigation terminal receives the ID of faulty equipment, by No. ID corresponding with it device location coupling, carry out voice message afterwards, according to geometric match navigation algorithm, carry out path planning, enter automatic navigation mode.
Navigation algorithm--geometric match navigation algorithm is as follows:
The precision of current GPS navigation, greatly within the scope of 15 meters, therefore numerous concerning photovoltaic apparatus and the situation that density is large, can not meet the demands.
Based on distribution situation and the path planning of photovoltaic plant equipment, set specific small area map, the thought of application map segmentation, simplifies the network structure of Roads in Maps, improves the performance of path planning.By IR interface, improve the precision of navigation.
Algorithm principle is as follows:
1) g (k) is handheld terminal GPS track point, and content is the GPS locator data (longitude and latitude) on k moment handheld terminal, corresponding to longitude and latitude location point corresponding on map vector.Due to the existence of GPS error and map vector error, when handheld terminal travels on road segmental arc Si, g (k) is not positioned on segmental arc Si usually.
2) p (k) the map road match point that is g (k), represent that map-matching algorithm is engraved in the corresponding point on map vector road when g (k) being carried out to the handheld terminal k of drift correction acquisition, be called for short the match point of g (k).Position on the map vector segmental arc Si of match point place, should reflect the relevant position of actual handheld terminal on this section of road as far as possible.
3) e (k) the map match correction that is g (k), represents the error correction between g (k) and its match point p (k).Need the segmental arc p (k) indicating match point place.During Si, symbol e (k) [Si] is used to represent the coupling correction that g (k) uses for the match point on segmental arc Si.As shown in the figure, i.e. p (k)=g (k)+e (k), map match correction e (k) stems from the composition error effect of GPS positioning error and traffic map vector trueness error to relation between above-mentioned 3 fundamental quantities.
Embodiment: after entering navigation mode, because GPS ratio of precision is poor, in relatively narrow and small photovoltaic plant region, positioning error is relatively large, by the infrared ray auxiliary matched correction of photovoltaic district electrical equipment, general ultrared coverage, at about 1 meter, therefore can improve positioning precision greatly.
Operation and maintenance personnel, according to voice message and navigation information, finds the position of faulty equipment fast, carries out malfunction elimination process.
After equipment obstacle management, portable navigation terminal, removes faulty equipment and reports to the police, display device normal condition, and the device parameter run.
Auxiliary matched correction embodiment
Specific implementation process: the electrical equipment infrared communication in photovoltaic generation region and emission function, photovoltaic plant region is entered in GPS navigation, hand-held terminal device enters infrared communication pattern, the data of each electrical equipment are received by infrared communication, with the power of signal, judge the position of which electrical equipment of present photovoltaic plant region, carry out map position information correction.
Claims (4)
1. a photo-voltaic power generation station faulty equipment air navigation aid, is characterized in that, comprises the following steps:
1) by map corresponding for the positional information of photovoltaic apparatus input portable navigation terminal, the data message of each photovoltaic apparatus is gathered;
2) by the fault type input database of each photovoltaic apparatus, corresponding corresponding fault signature data, and by described fault signature data importing experts database;
3) after photovoltaic apparatus breaks down, according to location of fault, the data of the front stage equipment be associated are searched, the fault signature data of contrast experts database, if any matched data, then tracing trouble type; As without characteristic coupling, then data are stored into non-expert storehouse, after analysis of failure, fault type and characteristic are imported experts database;
4) portable navigation terminal receives the ID of faulty equipment, is mated by No. ID device location corresponding with it, carries out path planning, enter automatic navigation mode according to geometric match air navigation aid.
2. photo-voltaic power generation station faulty equipment air navigation aid according to claim 1, is characterized in that, described fault signature data comprise voltage jump, current break.
3. photo-voltaic power generation station faulty equipment air navigation aid according to claim 1, is characterized in that, the data of described front stage equipment comprise voltage, electric current.
4. realize a system for method described in claim 1, it is characterized in that, comprising:
Data server: for gathering the data message of each photovoltaic apparatus, by the fault type input database of each photovoltaic apparatus, corresponding corresponding fault signature data, and by described fault signature data importing experts database, and after photovoltaic apparatus breaks down, according to location of fault, search the data of the front stage equipment be associated, the fault signature data of contrast experts database, if any matched data, then tracing trouble type; As without characteristic coupling, then data are stored into non-expert storehouse, after analysis of failure, fault type and characteristic are imported experts database;
Portable navigation terminal: for the positional information of photovoltaic apparatus being inputted in map corresponding to portable navigation terminal, receive the ID of faulty equipment, by No. ID corresponding with it device location coupling, carry out path planning according to geometric match air navigation aid, enter automatic navigation mode.
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| CN201510729769.1A CN105509728A (en) | 2015-11-02 | 2015-11-02 | Photovoltaic power station failure equipment navigation method and system |
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| CN201510729769.1A CN105509728A (en) | 2015-11-02 | 2015-11-02 | Photovoltaic power station failure equipment navigation method and system |
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Cited By (2)
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| CN110033102A (en) * | 2019-03-21 | 2019-07-19 | 华能澜沧江水电股份有限公司 | A kind of huge hydroelectric power plant has the intelligent diagnosing method and expert system of learning functionality |
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Application publication date: 20160420 |