CN117938073A - Inspection method and system based on photovoltaic power generation equipment - Google Patents
Inspection method and system based on photovoltaic power generation equipment Download PDFInfo
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- CN117938073A CN117938073A CN202311685940.4A CN202311685940A CN117938073A CN 117938073 A CN117938073 A CN 117938073A CN 202311685940 A CN202311685940 A CN 202311685940A CN 117938073 A CN117938073 A CN 117938073A
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- 238000007689 inspection Methods 0.000 title claims abstract description 310
- 238000010248 power generation Methods 0.000 title claims abstract description 160
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012423 maintenance Methods 0.000 claims abstract description 52
- 230000032683 aging Effects 0.000 claims abstract description 16
- 230000007613 environmental effect Effects 0.000 claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 claims description 28
- 238000011156 evaluation Methods 0.000 claims description 10
- 238000012216 screening Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 4
- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000003062 neural network model Methods 0.000 claims description 3
- 230000008901 benefit Effects 0.000 description 3
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- 230000004048 modification Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
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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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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B3/00—Apparatus specially adapted for the manufacture, assembly, or maintenance of boards or switchgear
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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Abstract
The application relates to the technical field of operation and maintenance of photovoltaic power stations, in particular to a patrol method and a system based on photovoltaic power generation equipment, wherein the method comprises the following steps: constructing a photovoltaic power station map according to structural parameters of the photovoltaic power generation equipment, dividing the map into a plurality of inspection areas, acquiring operation parameters and video images of each inspection area, determining a first inspection result, extracting characteristic operation parameters of characteristic power generation equipment in each inspection area, and determining a second inspection result; an operation and maintenance plan is formulated, a routing inspection period is determined according to preset influence factors, a plurality of routing inspection areas are divided by a photovoltaic power station, a maintenance plan is generated according to the running state and performance loss of photovoltaic power generation equipment in the routing inspection areas, a lifting plan is generated according to the power generation efficiency of the routing inspection areas, the routing inspection efficiency and the power generation efficiency are greatly improved, a reasonable routing inspection period is formulated according to environmental factors and equipment aging factors, the possibility of faults is reduced, and the operation and maintenance efficiency and the reliability of the equipment are improved.
Description
Technical Field
The application relates to the technical field of operation and maintenance of photovoltaic power stations, in particular to a patrol method and system based on photovoltaic power generation equipment.
Background
The photovoltaic power station is used as an important component of renewable energy sources, has the advantages of cleanness, reliability, economy and the like, however, due to environmental factors, equipment aging, manual operation and the like, various problems such as equipment failure, power loss, potential safety hazard and the like can occur in the operation process of the photovoltaic power station, so that the regular inspection is particularly important.
In the prior art, appearance and operation parameters of photovoltaic power generation equipment are checked according to a set inspection period, the photovoltaic power station relates to more equipment, inspection wastes time and energy, inspection result accuracy is poor, and economic benefit of the photovoltaic power station is greatly reduced.
Disclosure of Invention
In order to solve the technical problems, the application provides a patrol method and a system based on photovoltaic power generation equipment, which aim to realize partitioned patrol of a photovoltaic power station, improve patrol precision, reduce operation and maintenance cost and ensure efficient and safe operation of the photovoltaic power station.
In some embodiments of the present application, there is provided a inspection method based on a photovoltaic power generation apparatus, including:
According to structural parameters of the photovoltaic power generation equipment, constructing a photovoltaic power station map, dividing the photovoltaic power station map into a plurality of inspection areas, and acquiring operation parameters and video images of the photovoltaic power generation equipment in each inspection area;
Determining a first inspection result of the corresponding photovoltaic power generation equipment according to the operation parameters and the video image, extracting characteristic operation parameters of the characteristic power generation equipment in each inspection area, and determining a second inspection result according to the characteristic operation parameters;
And making an operation and maintenance plan according to the first inspection result and the second inspection result, and determining the inspection period of each inspection area according to preset influence factors.
In some embodiments of the application, determining a first inspection result for a corresponding photovoltaic power plant from the operating parameters and the video image includes:
Acquiring real-time operation parameters of each photovoltaic power generation device in the inspection area, mapping the real-time operation parameters with corresponding components on the photovoltaic power generation devices, and constructing a component operation set;
Comparing real-time operation parameters in the component operation set with corresponding standard operation parameter intervals, and screening out abnormal operation parameters;
Calculating an operation evaluation index K1 of the corresponding photovoltaic power generation equipment according to the abnormal operation parameters;
wherein m is the number of abnormal parts corresponding to the abnormal operation parameters, ri is a compensation coefficient, ri=m/n, n is the total number of parts in the part operation set, hi is the weight coefficient corresponding to the ith abnormal part, cgi is a preset operation parameter in the ith standard operation parameter interval, and Ci is the abnormal operation parameter;
Generating a first sub-inspection index of the current inspection area according to the number w of the photovoltaic power generation devices in the inspection area and the operation evaluation index K corresponding to the photovoltaic power generation devices;
the first son inspection index is: Wherein K1i is the operation evaluation index of the ith photovoltaic power generation equipment.
In some embodiments of the present application, determining a first inspection result for a corresponding photovoltaic power plant from the operating parameter and the video image further comprises:
Collecting video images of characteristic components of the photovoltaic power generation equipment, performing image preprocessing and image validity analysis on the video images to obtain referent images;
Carrying out pixel average processing of characteristic position points on the referenceable image, constructing a referenceable image set, acquiring a standard image set matched with corresponding operation conditions and characteristic position points of the referenceable image set, and comparing the standard image set with the referenceable image set;
Generating pixel difference values of each pixel value in the referenceable image set and the pixel value of the corresponding position point in the corresponding standard image set;
if the pixel difference value is in the preset deviation interval, judging that the characteristic component of the photovoltaic power generation equipment corresponding to the current referent image has no performance loss;
If the pixel difference value is not in the preset deviation interval, judging that the characteristic component corresponding to the current referenceable image has performance loss, and generating a performance loss coefficient according to the minimum difference value between the pixel difference value and the preset deviation interval;
Generating a performance loss index K2 of the corresponding photovoltaic power generation equipment according to the number e of characteristic parts with performance loss of the same photovoltaic power generation equipment and the performance loss coefficient corresponding to the characteristic parts;
Wherein qi is the coefficient of performance loss of the ith feature element with performance loss, and di is the weight coefficient corresponding to the ith feature element with performance loss;
generating a second sub-inspection index of the current inspection area according to the number w of the photovoltaic power generation devices in the inspection area and the performance loss index K2 corresponding to the photovoltaic power generation devices;
the second sub-inspection index is: Wherein K2i is the performance loss index of the ith photovoltaic power generation equipment.
In some embodiments of the present application, the first inspection result includes:
generating a first patrol total index according to the first patrol sub index and the second patrol sub index, wherein the first patrol total index is as follows: Wherein a1 is a weight coefficient corresponding to the first patrol sub-index, and a2 is a weight coefficient corresponding to the second patrol sub-index;
generating a first inspection result according to the relation between the first inspection total index and a preset inspection total index;
when the first inspection total index is in a first preset inspection total index interval, the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is small;
when the first inspection total index is in a second preset inspection total index interval, the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is larger;
when the first inspection total index is in a third preset inspection total index interval, the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in an abnormal operation state and the performance loss is large.
In some embodiments of the present application, generating a loss of performance coefficient from a minimum difference between a pixel difference and a preset deviation interval includes:
presetting a first preset difference interval, a second preset difference interval and a third preset difference interval;
When the minimum difference value is in a first preset difference value interval, setting the performance loss coefficient as a first preset coefficient;
When the minimum difference value is in a second preset difference value interval, setting the performance loss coefficient as a second preset coefficient;
And setting the performance loss coefficient as a third preset coefficient when the minimum difference value is in a third preset difference value interval.
In some embodiments of the application, determining the second inspection result based on the characteristic operational parameter comprises:
Acquiring characteristic operation parameters of a current inspection area, generating a power generation efficiency predicted value of the current inspection area according to the characteristic operation parameters, determining a power generation efficiency difference value according to the power generation efficiency predicted value and a power generation efficiency expected value under corresponding operation conditions, and generating a second inspection index M2 according to the power generation efficiency difference value;
generating a second inspection result according to the relation between the second inspection index and a preset inspection index threshold;
When the second inspection index is smaller than a preset inspection index threshold, the second inspection result is that the power generation efficiency of the current inspection area is lower;
When the second inspection index is larger than the preset inspection index threshold, the second inspection result is that the power generation efficiency of the current inspection area is good.
In some embodiments of the present application, making an operation and maintenance plan according to the first inspection result and the second inspection result includes:
The operation and maintenance plan comprises a maintenance plan and a lifting plan, whether the maintenance plan is generated or not is judged according to a first inspection result of the current area, if the maintenance plan is generated, the lifting plan is formulated according to the maintenance result, and if the maintenance plan is not generated, the lifting plan is directly generated according to a second inspection result;
When the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is smaller, a maintenance plan is not generated;
when the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is large, or the photovoltaic power generation equipment in the current inspection area is in an abnormal operation state and the performance loss is large, a maintenance plan is generated.
In some embodiments of the present application, determining a patrol cycle of each patrol area according to a preset influencing factor includes:
the preset influence factors comprise environmental factors and aging factors;
According to the historical environmental factors and the historical aging factors, determining a historical probability value and a historical time node of the failure of the photovoltaic power generation equipment in the current inspection area, and training a neural network model as a training sample to obtain a probability prediction model and a time node prediction model;
Inputting real-time environmental factors and real-time aging factors of each photovoltaic power generation device into a probability prediction model to obtain a plurality of probability prediction values and corresponding time node prediction values;
And screening out the characteristic fault prediction equipment of each inspection area, and determining the inspection period of each inspection area according to the time node corresponding to the time node predicted value of the most characteristic fault prediction equipment.
In some embodiments of the present application, determining the patrol period for each patrol area includes:
presetting a first preset time node interval, a second preset time node interval and a third preset time node interval;
when the time node is in a first preset time node interval, setting the inspection period of the current inspection area as a first preset inspection period;
When the time node is in a second preset time node interval, setting the inspection period of the current inspection area as a second preset inspection period;
When the time node is in the third preset time node interval, setting the inspection period of the current inspection area as a third preset inspection period.
In some embodiments of the application, a photovoltaic power plant-based inspection system is also included:
The acquisition module is used for constructing a photovoltaic power station map according to the structural parameters of the photovoltaic power generation equipment, dividing the photovoltaic power station map into a plurality of inspection areas and acquiring the operation parameters and video images of the photovoltaic power generation equipment in each inspection area;
The determining module is used for determining a first inspection result of the corresponding photovoltaic power generation equipment according to the operation parameters and the video image, extracting characteristic operation parameters of the characteristic power generation equipment in each inspection area and determining a second inspection result according to the characteristic operation parameters;
And the operation and maintenance module is used for making an operation and maintenance plan according to the first inspection result and the second inspection result and determining the inspection period of each inspection area according to preset influence factors.
Compared with the prior art, the inspection method and system based on the photovoltaic power generation equipment have the beneficial effects that:
Through dividing a plurality of areas of patrolling and examining to photovoltaic power plant, generate the maintenance plan according to the running state and the performance loss of photovoltaic power generation equipment in each area of patrolling and examining, generate the promotion plan according to the generating efficiency in each area of patrolling and examining, promoted the efficiency of patrolling and examining greatly and generating efficiency to according to the environmental factor and the equipment ageing factor in each area of patrolling and examining, the reasonable cycle of patrolling and examining in each area of patrolling and examining is formulated, reduces the possibility that the trouble takes place, improves the reliability of fortune dimension efficiency and equipment.
Drawings
Fig. 1 is a schematic flow chart of a inspection method based on a photovoltaic power generation device in a preferred embodiment of the application.
Detailed Description
The following describes in further detail the embodiments of the present application with reference to the drawings and examples. The following examples are illustrative of the application and are not intended to limit the scope of the application.
In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
As shown in fig. 1, a method for inspecting a photovoltaic power generation device according to a preferred embodiment of the present application includes:
Step S101: according to structural parameters of the photovoltaic power generation equipment, constructing a photovoltaic power station map, dividing the photovoltaic power station map into a plurality of inspection areas, and acquiring operation parameters and video images of the photovoltaic power generation equipment in each inspection area;
Step S102: determining a first inspection result of the corresponding photovoltaic power generation equipment according to the operation parameters and the video image, extracting characteristic operation parameters of the characteristic power generation equipment in each inspection area, and determining a second inspection result according to the characteristic operation parameters;
Step S103: and making an operation and maintenance plan according to the first inspection result and the second inspection result, and determining the inspection period of each inspection area according to preset influence factors.
In this embodiment, the structural parameters include a position parameter and a connection parameter of a photovoltaic power plant, the photovoltaic power plant map is a simulation map of an actual photovoltaic power plant, the position and the connection mode of the photovoltaic power plant in the photovoltaic power plant map are consistent with those in the actual photovoltaic power plant, the first inspection result is whether the photovoltaic power plant has a fault or a defect, the characteristic power plant and the characteristic operation parameters refer to equipment and parameters capable of reflecting the power generation efficiency of the photovoltaic power plant, such as the output power of a photovoltaic module, the second inspection result is the power generation efficiency of the photovoltaic power plant, the preset influence factors include environmental factors and equipment aging factors, the residual life of the equipment can be predicted according to the preset influence factors, and the inspection period is determined according to the residual life.
In the embodiment, firstly, whether the photovoltaic power generation equipment fails or not is detected, then, the characteristic operation parameters of the characteristic power generation equipment are detected to determine the power generation efficiency of the photovoltaic power station, and an operation and maintenance plan is formulated according to the failed equipment and the power generation efficiency, so that the safe and efficient operation of the photovoltaic power station is ensured, the residual life of the equipment is predicted, a reasonable inspection period is set, time and labor are saved, potential safety hazards are timely found, the possibility of failure occurrence is reduced, the operation and maintenance efficiency is greatly improved, and the reliability of the equipment is improved.
In some embodiments of the application, determining a first inspection result for a corresponding photovoltaic power plant from the operating parameters and the video image includes:
Acquiring real-time operation parameters of each photovoltaic power generation device in the inspection area, mapping the real-time operation parameters with corresponding components on the photovoltaic power generation devices, and constructing a component operation set;
Comparing real-time operation parameters in the component operation set with corresponding standard operation parameter intervals, and screening out abnormal operation parameters;
Calculating an operation evaluation index K1 of the corresponding photovoltaic power generation equipment according to the abnormal operation parameters;
wherein m is the number of abnormal parts corresponding to the abnormal operation parameters, ri is a compensation coefficient, ri=m/n, n is the total number of parts in the part operation set, hi is the weight coefficient corresponding to the ith abnormal part, cgi is a preset operation parameter in the ith standard operation parameter interval, and Ci is the abnormal operation parameter;
Generating a first sub-inspection index of the current inspection area according to the number w of the photovoltaic power generation devices in the inspection area and the operation evaluation index K corresponding to the photovoltaic power generation devices;
the first son inspection index is: Wherein K1i is the operation evaluation index of the ith photovoltaic power generation equipment.
In this embodiment, the abnormal operation parameter refers to a real-time operation parameter that is not in the standard operation parameter interval, the component corresponding to the abnormal operation parameter is an abnormal component, and the preset operation parameter refers to a parameter closest to the abnormal operation parameter in the standard operation parameter interval.
In the embodiment, the operation parameters of each component on the photovoltaic power generation equipment are analyzed, so that the operation evaluation index of the current photovoltaic power generation equipment is obtained, the operation state of the current photovoltaic power generation equipment is judged, a corresponding operation and maintenance strategy is formulated, and the normal operation of the current photovoltaic power generation equipment is ensured.
In some embodiments of the present application, determining a first inspection result for a corresponding photovoltaic power plant from the operating parameter and the video image further comprises:
Collecting video images of characteristic components of the photovoltaic power generation equipment, performing image preprocessing and image validity analysis on the video images to obtain referent images;
Carrying out pixel average processing of characteristic position points on the referenceable image, constructing a referenceable image set, acquiring a standard image set matched with corresponding operation conditions and characteristic position points of the referenceable image set, and comparing the standard image set with the referenceable image set;
Generating pixel difference values of each pixel value in the referenceable image set and the pixel value of the corresponding position point in the corresponding standard image set;
if the pixel difference value is in the preset deviation interval, judging that the characteristic component of the photovoltaic power generation equipment corresponding to the current referent image has no performance loss;
If the pixel difference value is not in the preset deviation interval, judging that the characteristic component corresponding to the current referenceable image has performance loss, and generating a performance loss coefficient according to the minimum difference value between the pixel difference value and the preset deviation interval;
Generating a performance loss index K2 of the corresponding photovoltaic power generation equipment according to the number e of characteristic parts with performance loss of the same photovoltaic power generation equipment and the performance loss coefficient corresponding to the characteristic parts;
Wherein qi is the coefficient of performance loss of the ith feature element with performance loss, and di is the weight coefficient corresponding to the ith feature element with performance loss;
generating a second sub-inspection index of the current inspection area according to the number w of the photovoltaic power generation devices in the inspection area and the performance loss index K2 corresponding to the photovoltaic power generation devices;
the second sub-inspection index is: Wherein K2i is the performance loss index of the ith photovoltaic power generation equipment.
In this embodiment, the image preprocessing is to perform image enhancement denoising on a video image, adjust saturation and brightness of the video image, eliminate irrelevant information in the image, improve imaging definition of the image, determine image validity by saturation and brightness values of the image, and refer to an image with optimal image validity in all video images of the same component.
In this embodiment, the feature component refers to a component in the photovoltaic power generation device, where performance loss or aging may occur, for example, a back plate of the photovoltaic module, an insulating layer of a cable, and a connection terminal, the pixel average processing refers to adding up pixel values of the same position points of the same component and dividing the pixel values by the number of times of collection, and the standard image set refers to images collected at a plurality of position points under all operating conditions when the feature component is not damaged.
In the embodiment, the accuracy of the performance loss of each component is ensured by analyzing the performance loss of the characteristic component of each photovoltaic power generation device, the second patrol sub-index of the current patrol area is obtained, and a data base is provided for the subsequent establishment of an operation and maintenance strategy.
In some embodiments of the present application, the first inspection result includes:
generating a first patrol total index according to the first patrol sub index and the second patrol sub index, wherein the first patrol total index is as follows: Wherein a1 is a weight coefficient corresponding to the first patrol sub-index, and a2 is a weight coefficient corresponding to the second patrol sub-index;
generating a first inspection result according to the relation between the first inspection total index and a preset inspection total index;
when the first inspection total index is in a first preset inspection total index interval, the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is small;
when the first inspection total index is in a second preset inspection total index interval, the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is larger;
when the first inspection total index is in a third preset inspection total index interval, the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in an abnormal operation state and the performance loss is large.
In this embodiment, a1 takes 0.65, a2 takes 0.35, the first preset patrol total index interval is smaller than the second preset patrol total index interval, the second preset patrol total index interval is smaller than the third preset patrol total index interval, when the first patrol total index is smaller, the number of the photovoltaic power generation devices in the current patrol area is larger and the performance loss of the photovoltaic power generation devices is smaller, and when the first patrol total index is larger, the number of the photovoltaic power generation devices in the current patrol area is larger and the performance loss of the photovoltaic power generation devices is larger.
In the embodiment, the first inspection result of the inspection area is generated according to the running state and the loss condition of the photovoltaic power generation equipment in the same inspection area, so that the inspection precision is greatly improved, and the operation and maintenance efficiency is improved.
In some embodiments of the present application, generating a loss of performance coefficient from a minimum difference between a pixel difference and a preset deviation interval includes:
presetting a first preset difference interval, a second preset difference interval and a third preset difference interval;
When the minimum difference value is in a first preset difference value interval, setting the performance loss coefficient as a first preset coefficient;
When the minimum difference value is in a second preset difference value interval, setting the performance loss coefficient as a second preset coefficient;
And setting the performance loss coefficient as a third preset coefficient when the minimum difference value is in a third preset difference value interval.
In this embodiment, the first preset coefficient is set to 0.2, the second preset coefficient is set to 0.5, the third preset coefficient is set to 0.8, the preset difference interval is set in advance, the first preset difference interval is smaller than the second preset difference interval, the second preset difference interval is smaller than the third preset difference interval, and when the minimum difference is larger, the performance loss is larger, so that the performance loss index is larger.
In some embodiments of the application, determining the second inspection result based on the characteristic operational parameter comprises:
Acquiring characteristic operation parameters of a current inspection area, generating a power generation efficiency predicted value of the current inspection area according to the characteristic operation parameters, determining a power generation efficiency difference value according to the power generation efficiency predicted value and a power generation efficiency expected value under corresponding operation conditions, and generating a second inspection index M2 according to the power generation efficiency difference value;
generating a second inspection result according to the relation between the second inspection index and a preset inspection index threshold;
When the second inspection index is smaller than a preset inspection index threshold, the second inspection result is that the power generation efficiency of the current inspection area is lower;
When the second inspection index is larger than the preset inspection index threshold, the second inspection result is that the power generation efficiency of the current inspection area is good.
In this embodiment, mapping is performed according to the historical power generation efficiency difference values under different running conditions and the corresponding historical second inspection indexes, an efficiency difference value-inspection index table is constructed, and according to the current power generation efficiency difference value, the corresponding second inspection index is obtained, when the historical power generation efficiency difference value is larger, the second inspection index is smaller, which means that the power generation efficiency of the current inspection area is lower.
In some embodiments of the present application, making an operation and maintenance plan according to the first inspection result and the second inspection result includes:
The operation and maintenance plan comprises a maintenance plan and a lifting plan, whether the maintenance plan is generated or not is judged according to a first inspection result of the current area, if the maintenance plan is generated, the lifting plan is formulated according to the maintenance result, and if the maintenance plan is not generated, the lifting plan is directly generated according to a second inspection result;
When the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is smaller, a maintenance plan is not generated;
when the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is large, or the photovoltaic power generation equipment in the current inspection area is in an abnormal operation state and the performance loss is large, a maintenance plan is generated.
In some embodiments of the present application, determining a patrol cycle of each patrol area according to a preset influencing factor includes:
the preset influence factors comprise environmental factors and aging factors;
According to the historical environmental factors and the historical aging factors, determining a historical probability value and a historical time node of the failure of the photovoltaic power generation equipment in the current inspection area, and training a neural network model as a training sample to obtain a probability prediction model and a time node prediction model;
Inputting real-time environmental factors and real-time aging factors of each photovoltaic power generation device into a probability prediction model to obtain a plurality of probability prediction values and corresponding time node prediction values;
And screening out the characteristic fault prediction equipment of each inspection area, and determining the inspection period of each inspection area according to the time node corresponding to the time node predicted value of the most characteristic fault prediction equipment.
In this embodiment, the environmental factors include shielding degree and humiture, the aging factors include performance loss degree and life residual degree, the shielding degree seriously affects the power generation efficiency of the photovoltaic power station, the humiture can affect the safety performance of the device, the performance loss degree is set according to the performance loss index, the life residual degree is set according to the set life value and the service life value of each photovoltaic power generation device, the characteristic fault prediction device is the photovoltaic power generation device which meets the minimum fault time prediction value and has the fault probability prediction value larger than 60%, and the historical time node is the time node at which the fault occurs.
In the embodiment, the probability and the time node of the faults of the plurality of photovoltaic power generation devices in each inspection area are predicted, so that the inspection period of each inspection area is determined, the problems can be found in time, the probability of the faults is reduced, the operation and maintenance cost is reduced, and the economic benefit of the photovoltaic power station is improved.
In some embodiments of the present application, determining the patrol period for each patrol area includes:
presetting a first preset time node interval, a second preset time node interval and a third preset time node interval;
when the time node is in a first preset time node interval, setting the inspection period of the current inspection area as a first preset inspection period;
When the time node is in a second preset time node interval, setting the inspection period of the current inspection area as a second preset inspection period;
When the time node is in the third preset time node interval, setting the inspection period of the current inspection area as a third preset inspection period.
In this embodiment, the first preset time node interval is smaller than the second preset time node interval, the second preset time node interval is smaller than the third preset time node interval, the first preset inspection cycle is smaller than the second preset inspection cycle, and the second preset inspection cycle is smaller than the third preset inspection cycle.
In this embodiment, when the preset time node where the time node is located is larger, it is indicated that the predicted fault occurrence time node is farther from the current time node, and a fault cannot occur in a short time, so that a larger inspection period can be set, and therefore operation and maintenance costs are reduced.
In some embodiments of the application, a photovoltaic power plant-based inspection system is also included:
The acquisition module is used for constructing a photovoltaic power station map according to the structural parameters of the photovoltaic power generation equipment, dividing the photovoltaic power station map into a plurality of inspection areas and acquiring the operation parameters and video images of the photovoltaic power generation equipment in each inspection area;
The determining module is used for determining a first inspection result of the corresponding photovoltaic power generation equipment according to the operation parameters and the video image, extracting characteristic operation parameters of the characteristic power generation equipment in each inspection area and determining a second inspection result according to the characteristic operation parameters;
And the operation and maintenance module is used for making an operation and maintenance plan according to the first inspection result and the second inspection result and determining the inspection period of each inspection area according to preset influence factors.
According to the first conception of the application, the photovoltaic power station is divided into a plurality of inspection areas, a maintenance plan is generated according to the running state and the performance loss of the photovoltaic power generation equipment in each inspection area, a lifting plan is generated according to the power generation efficiency of each inspection area, the inspection efficiency and the power generation efficiency are greatly improved, a reasonable inspection period of each inspection area is formulated according to the environmental factors and the equipment aging factors of each inspection area, the possibility of faults is reduced, and the operation and maintenance efficiency and the reliability of the equipment are improved.
The foregoing is merely a preferred embodiment of the present application, and it should be noted that modifications and substitutions can be made by those skilled in the art without departing from the technical principles of the present application, and these modifications and substitutions should also be considered as being within the scope of the present application.
Claims (10)
1. The inspection method based on the photovoltaic power generation equipment is characterized by comprising the following steps of:
According to structural parameters of the photovoltaic power generation equipment, constructing a photovoltaic power station map, dividing the photovoltaic power station map into a plurality of inspection areas, and acquiring operation parameters and video images of the photovoltaic power generation equipment in each inspection area;
Determining a first inspection result of the corresponding photovoltaic power generation equipment according to the operation parameters and the video image, extracting characteristic operation parameters of the characteristic power generation equipment in each inspection area, and determining a second inspection result according to the characteristic operation parameters;
And making an operation and maintenance plan according to the first inspection result and the second inspection result, and determining the inspection period of each inspection area according to preset influence factors.
2. The inspection method based on the photovoltaic power generation equipment according to claim 1, wherein determining the first inspection result of the corresponding photovoltaic power generation equipment according to the operation parameter and the video image comprises:
Acquiring real-time operation parameters of each photovoltaic power generation device in the inspection area, mapping the real-time operation parameters with corresponding components on the photovoltaic power generation devices, and constructing a component operation set;
Comparing real-time operation parameters in the component operation set with corresponding standard operation parameter intervals, and screening out abnormal operation parameters;
Calculating an operation evaluation index K1 of the corresponding photovoltaic power generation equipment according to the abnormal operation parameters;
wherein m is the number of abnormal parts corresponding to the abnormal operation parameters, ri is a compensation coefficient, ri=m/n, n is the total number of parts in the part operation set, hi is the weight coefficient corresponding to the ith abnormal part, cgi is a preset operation parameter in the ith standard operation parameter interval, and Ci is the abnormal operation parameter;
Generating a first sub-inspection index of the current inspection area according to the number w of the photovoltaic power generation devices in the inspection area and the operation evaluation index K corresponding to the photovoltaic power generation devices;
the first son inspection index is: Wherein K1i is the operation evaluation index of the ith photovoltaic power generation equipment.
3. The inspection method based on photovoltaic power generation equipment according to claim 2, wherein determining the first inspection result of the corresponding photovoltaic power generation equipment according to the operation parameter and the video image, further comprises:
Collecting video images of characteristic components of the photovoltaic power generation equipment, performing image preprocessing and image validity analysis on the video images to obtain referent images;
Carrying out pixel average processing of characteristic position points on the referenceable image, constructing a referenceable image set, acquiring a standard image set matched with corresponding operation conditions and characteristic position points of the referenceable image set, and comparing the standard image set with the referenceable image set;
Generating pixel difference values of each pixel value in the referenceable image set and the pixel value of the corresponding position point in the corresponding standard image set;
if the pixel difference value is in the preset deviation interval, judging that the characteristic component of the photovoltaic power generation equipment corresponding to the current referent image has no performance loss;
If the pixel difference value is not in the preset deviation interval, judging that the characteristic component corresponding to the current referenceable image has performance loss, and generating a performance loss coefficient according to the minimum difference value between the pixel difference value and the preset deviation interval;
Generating a performance loss index K2 of the corresponding photovoltaic power generation equipment according to the number e of characteristic parts with performance loss of the same photovoltaic power generation equipment and the performance loss coefficient corresponding to the characteristic parts;
Wherein qi is the coefficient of performance loss of the ith feature element with performance loss, and di is the weight coefficient corresponding to the ith feature element with performance loss;
generating a second sub-inspection index of the current inspection area according to the number w of the photovoltaic power generation devices in the inspection area and the performance loss index K2 corresponding to the photovoltaic power generation devices;
the second sub-inspection index is: Wherein K2i is the performance loss index of the ith photovoltaic power generation equipment.
4. The inspection method based on photovoltaic power generation equipment according to claim 3, wherein the first inspection result comprises:
generating a first patrol total index according to the first patrol sub index and the second patrol sub index, wherein the first patrol total index is as follows: Wherein a1 is a weight coefficient corresponding to the first patrol sub-index, and a2 is a weight coefficient corresponding to the second patrol sub-index;
generating a first inspection result according to the relation between the first inspection total index and a preset inspection total index;
when the first inspection total index is in a first preset inspection total index interval, the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is small;
when the first inspection total index is in a second preset inspection total index interval, the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is larger;
when the first inspection total index is in a third preset inspection total index interval, the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in an abnormal operation state and the performance loss is large.
5. A photovoltaic power plant-based inspection method according to claim 3, wherein generating a loss of performance coefficient from a minimum difference between the pixel difference and a preset deviation interval comprises:
presetting a first preset difference interval, a second preset difference interval and a third preset difference interval;
When the minimum difference value is in a first preset difference value interval, setting the performance loss coefficient as a first preset coefficient;
When the minimum difference value is in a second preset difference value interval, setting the performance loss coefficient as a second preset coefficient;
And setting the performance loss coefficient as a third preset coefficient when the minimum difference value is in a third preset difference value interval.
6. The photovoltaic power plant-based inspection method of claim 4, wherein determining the second inspection result based on the characteristic operating parameter comprises:
Acquiring characteristic operation parameters of a current inspection area, generating a power generation efficiency predicted value of the current inspection area according to the characteristic operation parameters, determining a power generation efficiency difference value according to the power generation efficiency predicted value and a power generation efficiency expected value under corresponding operation conditions, and generating a second inspection index M2 according to the power generation efficiency difference value;
generating a second inspection result according to the relation between the second inspection index and a preset inspection index threshold;
When the second inspection index is smaller than a preset inspection index threshold, the second inspection result is that the power generation efficiency of the current inspection area is lower;
When the second inspection index is larger than the preset inspection index threshold, the second inspection result is that the power generation efficiency of the current inspection area is good.
7. The photovoltaic power plant-based inspection method of claim 6, wherein formulating the operation and maintenance plan based on the first inspection result and the second inspection result comprises:
The operation and maintenance plan comprises a maintenance plan and a lifting plan, whether the maintenance plan is generated or not is judged according to a first inspection result of the current area, if the maintenance plan is generated, the lifting plan is formulated according to the maintenance result, and if the maintenance plan is not generated, the lifting plan is directly generated according to a second inspection result;
When the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is smaller, a maintenance plan is not generated;
when the first inspection result is that the photovoltaic power generation equipment in the current inspection area is in a normal operation state and the performance loss is large, or the photovoltaic power generation equipment in the current inspection area is in an abnormal operation state and the performance loss is large, a maintenance plan is generated.
8. The inspection method based on photovoltaic power generation equipment according to claim 1, wherein determining the inspection period of each inspection area according to a preset influence factor comprises:
the preset influence factors comprise environmental factors and aging factors;
According to the historical environmental factors and the historical aging factors, determining a historical probability value and a historical time node of the failure of the photovoltaic power generation equipment in the current inspection area, and training a neural network model as a training sample to obtain a probability prediction model and a time node prediction model;
Inputting real-time environmental factors and real-time aging factors of each photovoltaic power generation device into a probability prediction model to obtain a plurality of probability prediction values and corresponding time node prediction values;
And screening out the characteristic fault prediction equipment of each inspection area, and determining the inspection period of each inspection area according to the time node corresponding to the time node predicted value of the most characteristic fault prediction equipment.
9. The photovoltaic power plant-based inspection method of claim 8, wherein determining an inspection period for each inspection area comprises:
presetting a first preset time node interval, a second preset time node interval and a third preset time node interval;
when the time node is in a first preset time node interval, setting the inspection period of the current inspection area as a first preset inspection period;
When the time node is in a second preset time node interval, setting the inspection period of the current inspection area as a second preset inspection period;
When the time node is in the third preset time node interval, setting the inspection period of the current inspection area as a third preset inspection period.
10. Inspection system based on photovoltaic power generation equipment, characterized by comprising:
The acquisition module is used for constructing a photovoltaic power station map according to the structural parameters of the photovoltaic power generation equipment, dividing the photovoltaic power station map into a plurality of inspection areas and acquiring the operation parameters and video images of the photovoltaic power generation equipment in each inspection area;
The determining module is used for determining a first inspection result of the corresponding photovoltaic power generation equipment according to the operation parameters and the video image, extracting characteristic operation parameters of the characteristic power generation equipment in each inspection area and determining a second inspection result according to the characteristic operation parameters;
And the operation and maintenance module is used for making an operation and maintenance plan according to the first inspection result and the second inspection result and determining the inspection period of each inspection area according to preset influence factors.
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