Photovoltaic equipment maintenance method and related equipment

Abstract

One or more embodiments of the invention provide a photovoltaic equipment maintenance method and related equipment. The method comprises the steps of obtaining current meteorological data in response to received meteorological disaster early warning information; according to the current meteorological data and a preset first database, a first reference equipment maintenance set is matched, and the first database comprises an association relationship between historical meteorological data and equipment maintenance records; according to the meteorological disaster early warning information, the current meteorological data and the historical meteorological data, calculating equipment power generation change evaluation by comparing equipment power generation efficiency in a unit detection period before and after a disaster occurs; according to the equipment power generation change evaluation and a preset second database, matching a second reference equipment maintenance set, the second database comprising an association relationship between historical equipment power generation change evaluation and equipment maintenance records; and determining target maintenance equipment according to the first reference equipment maintenance set and the second reference equipment maintenance set, and generating a maintenance strategy of the target maintenance equipment.

Description

Technical Field

[0001] One or more embodiments of the present disclosure relate to the field of energy technologies, and in particular, to a method for maintaining a photovoltaic device and related equipment. Background Art

[0002] With the wide application of photovoltaic power generation technology, more and more large-scale photovoltaic power stations have been put into actual operation. However, since the photovoltaic power generation components of a photovoltaic power station have a large area and need to maintain a sufficient spacing, a photovoltaic power station usually requires a large land area. This makes the area where the photovoltaic power station is located more vulnerable to meteorological disasters.

[0003] In order to reduce the damage of extreme weather to the equipment of a photovoltaic power station, when receiving extreme weather warning information, protective measures must be taken in advance, such as strengthening the brackets, covering a protective layer on the photovoltaic panels, and turning on the heat dissipation system. However, there is currently a lack of an effective method for formulating a predictive maintenance plan for the equipment of a photovoltaic power station. Summary of the Invention

[0004] In view of this, an object of one or more embodiments of the present disclosure is to propose a method for maintaining a photovoltaic device to solve the problems raised in the background art.

[0005] Based on the above object, one or more embodiments of the present disclosure provide a method for maintaining a photovoltaic device, including:

[0006] Responding to receiving meteorological disaster warning information, obtaining current meteorological data;

[0007] According to the current meteorological data and a preset first database, matching a first reference device maintenance set, the first database includes the association relationship between historical meteorological data and device maintenance records, and the first reference device maintenance set represents the first reference maintenance device determined according to meteorological data;

[0008] According to the meteorological disaster warning information, the current meteorological data and historical meteorological data, by comparing the power generation efficiency of the device within a unit detection period before and after the disaster occurs, calculating the device power generation change assessment;

[0009] According to the device power generation change assessment and a preset second database, matching a second reference device maintenance set, the second database includes the association relationship between historical device power generation change assessment and device maintenance records, and the second reference device maintenance set represents the second reference maintenance device determined according to the device power generation change assessment;

[0010] According to the first reference device maintenance set and the second reference device maintenance set, determining a target maintenance device and generating a maintenance strategy for the target maintenance device.

[0011] Optionally, determining a target maintenance device based on the first reference device maintenance set and the second reference device maintenance set, and generating a maintenance strategy for the target maintenance device includes:

[0012] Extract the feature words of the meteorological disaster warning information and match the meteorological disaster type corresponding to the meteorological disaster warning;

[0013] Determine the intensity of the meteorological disaster according to the current meteorological data and the meteorological disaster type;

[0014] Match a third reference maintenance device set according to the meteorological disaster type, the meteorological disaster intensity, and a preset third database, where the third database includes the association relationship between the meteorological disaster type, the meteorological disaster intensity, and the device maintenance record, and the third reference device maintenance set represents the third reference maintenance device determined according to the meteorological disaster type and the meteorological disaster intensity;

[0015] In response to determining that any maintenance device belongs to the first reference device maintenance set or the second reference device maintenance set, determine that the maintenance device is the target maintenance device;

[0016] Calculate the weight value of the target maintenance device according to the number of occurrences of the target maintenance device in the first reference device maintenance set, the second reference device maintenance set, and the device maintenance record of the third reference device maintenance set;

[0017] Determine the priority of the target maintenance device according to the weight values of all the target maintenance devices;

[0018] Generate a maintenance strategy for the target maintenance device according to the priority of the target maintenance device.

[0019] Optionally, the device maintenance record includes device maintenance man-hours;

[0020] The calculating the weight value of the target maintenance device according to the number of occurrences of the target maintenance device in the first reference device maintenance set, the second reference device maintenance set, and the device maintenance record in the third reference device maintenance set includes:

[0021] In response to determining that the target maintenance device belongs to the first reference device maintenance set, determine the first device maintenance man-hours of the target maintenance device in the first reference device maintenance set;

[0022] In response to determining that the target maintenance device belongs to the second reference device maintenance set, determine the second device maintenance man-hours of the target maintenance device in the second reference device maintenance set;

[0023] In response to determining that the target maintenance device belongs to the third reference device maintenance set, determine the third device maintenance man-hours of the target maintenance device in the third reference device maintenance set;

[0024] Calculate the weight value of the target maintenance device according to the difference between the first device maintenance man-hours, the second device maintenance man-hours and the third device maintenance man-hours, and a preset weight coefficient.

[0025] Optionally, the first database is established by performing the following steps:

[0026] Obtain historical meteorological data when a meteorological disaster occurs;

[0027] According to the category of the historical meteorological data and the reference value corresponding to each category, calculate the extreme value of the change of the historical meteorological data relative to the reference value;

[0028] According to the historical meteorological data and the extreme value corresponding to the historical meteorological data, form a meteorological record group;

[0029] Obtain the first maintenance device determined according to the meteorological record group and the device maintenance record corresponding to the first maintenance device, where the first maintenance device represents the maintenance device determined according to the meteorological data;

[0030] Associate the meteorological record group corresponding to any meteorological disaster with the device maintenance record to obtain the first database.

[0031] Optionally, the second database is established by performing the following steps:

[0032] Obtain the device power evaluation data of the unit detection period before and after the meteorological disaster occurs;

[0033] According to the difference between the device power evaluation data before and after the meteorological disaster occurs, obtain the device power generation change evaluation corresponding to the meteorological disaster;

[0034] Obtain the second maintenance device determined according to the device power generation change evaluation and the device maintenance record corresponding to the second maintenance device, where the second maintenance device represents the maintenance device determined according to the device power generation change evaluation;

[0035] Associate the device power generation change evaluation corresponding to any meteorological disaster with the device maintenance record to obtain the second database.

[0036] Optionally, the meteorological disaster intensity is determined by performing the following steps:

[0037] Calculate the mean value of all the historical meteorological data extreme values in the first database to obtain the current reference value;

[0038] Based on the current meteorological data and the current reference value, obtain the current extreme value of the current meteorological data;

[0039] Based on the current meteorological data and the current extreme value, match the meteorological record group with the highest similarity in the first database;

[0040] Determine the meteorological disaster intensity according to the historical meteorological disaster intensity corresponding to the meteorological record group.

[0041] Optionally, the evaluation of the device power generation change is determined by performing the following steps:

[0042] Obtain the current device power evaluation data;

[0043] Based on the current device power evaluation data and the current meteorological data, predict the predicted device power evaluation data after the disaster occurs;

[0044] Determine the evaluation of the device power generation change according to the difference between the current device power evaluation data and the predicted device power evaluation data.

[0045] Based on the same inventive concept, one or more embodiments of the present disclosure further provide a photovoltaic device maintenance device, including:

[0046] An acquisition module, configured to acquire current meteorological data in response to receiving a meteorological disaster warning message;

[0047] A first matching module, configured to match a first reference device maintenance set according to the current meteorological data and a preset first database, the first database including the association relationship between historical meteorological data and device maintenance records, and the first reference device maintenance set representing the first reference maintenance device determined according to the meteorological data;

[0048] A calculation module, configured to calculate the evaluation of the device power generation change by comparing the device power generation efficiency within a unit detection period before and after the disaster according to the meteorological disaster warning message, the current meteorological data and the historical meteorological data;

[0049] A second matching module, configured to match a second reference device maintenance set according to the evaluation of the device power generation change and a preset second database, the second database including the association relationship between historical device power generation change evaluation and device maintenance records, and the second reference device maintenance set representing the second reference maintenance device determined according to the evaluation of the device power generation change;

[0050] A generation module, configured to determine the target maintenance device according to the first reference device maintenance set and the second reference device maintenance set, and generate a maintenance strategy for the target maintenance device.

[0051] Based on the same inventive concept, one or more embodiments of the present disclosure further provide an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the photovoltaic device maintenance method described in any one of the above is implemented.

[0052] Based on the same inventive concept, one or more embodiments of the present disclosure further provide a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium stores computer instructions for causing the computer to execute the photovoltaic device maintenance method described in any one of the above.

[0053] As can be seen from the above, the photovoltaic device maintenance method provided by one or more embodiments of the present disclosure, in response to receiving meteorological disaster warning information, obtains current meteorological data; extracts feature words of the meteorological disaster warning information, and matches the meteorological disaster type corresponding to the meteorological disaster warning; determines the meteorological disaster intensity according to the current meteorological data and the meteorological disaster type; matches a first reference device maintenance set according to the current meteorological data and a preset first database, where the first database includes the association relationship between historical meteorological data and device maintenance records, and the first reference device maintenance set represents the first reference maintenance devices determined according to the meteorological data; calculates the device power generation change assessment by comparing the device power generation efficiency within a unit detection period before and after the disaster according to the meteorological disaster warning information, the current meteorological data, and historical meteorological data; matches a second reference device maintenance set according to the device power generation change assessment and a preset second database, where the second database includes the association relationship between historical device power generation change assessments and device maintenance records, and the second reference device maintenance set represents the second reference maintenance devices determined according to the device power generation change assessment; determines the target maintenance devices according to the first reference device maintenance set and the second reference device maintenance set, and generates a maintenance strategy for the target maintenance devices.

[0054] A photovoltaic device maintenance method provided by the present disclosure first identifies the disaster type and intensity based on real-time meteorological warning features, combines with the historical meteorological maintenance database to predict potential damaged devices, and forms a preliminary maintenance target; secondly, introduces a dynamic evaluation mechanism for device power generation efficiency, captures hidden damaged devices through comparing the power generation efficiency before and after the disaster, and combines with the device performance database to secondarily screen the maintenance objects; finally, generates an optimized maintenance strategy through two-dimensional data cross-validation. Through this application, the impact of disaster weather on photovoltaic devices can be effectively predicted, predictive maintenance can be performed on photovoltaic power stations, and the intelligent level and disaster resistance ability of photovoltaic power station operation and maintenance can be effectively improved.

[0055] A photovoltaic device maintenance apparatus, an electronic device, and a computer-readable storage medium provided by the present disclosure can all implement the steps of the above-mentioned photovoltaic device maintenance method, and thus also have the beneficial effects of the above-mentioned photovoltaic device maintenance method. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in one or more embodiments of the present disclosure or in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only one or more embodiments of the present disclosure. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0057] Figure 1 is a flowchart of the photovoltaic device maintenance method according to one or more embodiments of the present disclosure;

[0058] Figure 2 is a structural diagram of the photovoltaic device maintenance apparatus according to one or more embodiments of the present disclosure;

[0059] Figure 3 is a schematic diagram of the hardware structure of the electronic device according to one or more embodiments of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] In order to make the objectives, technical solutions, and advantages of the present disclosure clearer and more understandable, the following will further describe the present disclosure in detail with reference to specific embodiments and the accompanying drawings.

[0061] It should be noted that unless otherwise defined, the technical terms or scientific terms used in one or more embodiments of the present disclosure should have the ordinary meaning understood by those of ordinary skill in the art to which the present disclosure belongs. The "first", "second", and similar terms used in one or more embodiments of the present disclosure do not indicate any order, quantity, or importance, but are only used to distinguish different components. The terms such as "including" or "comprising" mean that the elements or items appearing before this term cover the elements or items listed after this term and their equivalents, without excluding other elements or items. The terms such as "connected" or "coupled" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The terms such as "upper", "lower", "left", "right", etc. are only used to represent relative positional relationships, and when the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0062] As described in the background art section, there is currently a lack of an effective method for formulating a photovoltaic power station equipment maintenance plan.

[0063] Reference Figure 1, a photovoltaic device maintenance method according to one or more embodiments of the present disclosure, includes the following steps:

[0064] Step S101: In response to receiving meteorological disaster warning information, obtain current meteorological data;

[0065] Step S102: According to the above current meteorological data and a preset first database, match a first reference device maintenance set. The above first database includes the association relationship between historical meteorological data and device maintenance records, and the above first reference device maintenance set represents the first reference maintenance devices determined according to meteorological data;

[0066] Step S103: According to the above meteorological disaster warning information, the above current meteorological data and historical meteorological data, calculate the device power generation change assessment by comparing the device power generation efficiency within the unit detection period before and after the disaster occurs;

[0067] Step S104: According to the above device power generation change assessment and a preset second database, match a second reference device maintenance set. The above second database includes the association relationship between historical device power generation change assessment and device maintenance records, and the above second reference device maintenance set represents the second reference maintenance devices determined according to the device power generation change assessment;

[0068] Step S105: According to the above first reference device maintenance set and the above second reference device maintenance set, determine the target maintenance devices and generate a maintenance strategy for the target maintenance devices.

[0069] In the implementation of the present disclosure, the meteorological disaster warning information refers to the warning signals or notifications issued by the meteorological department for possible or already occurred meteorological disasters. Meteorological disaster warnings may include gale warnings, rainstorm warnings, sandstorm warnings, freezing warnings, etc. The present disclosure does not make specific limitations on the types of meteorological disaster warnings, and various types of meteorological disaster warnings are within the protection scope of the present disclosure.

[0070] In the implementation of the present disclosure, meteorological data refers to various information about the atmospheric state and weather phenomena obtained through various observation means. In the embodiments of the present disclosure, the above meteorological data may include one or more of temperature, air pressure, humidity, wind direction, and wind speed. The present disclosure does not make specific limitations on the types of meteorological data, and various types of meteorological data are within the protection scope of the present disclosure.

[0071] The technical solution of the present disclosure considers photovoltaic devices from two perspectives: the relationship between meteorological data and photovoltaic devices and the relationship between device power generation change assessment and photovoltaic devices, and comprehensively determines the operation and maintenance plan for photovoltaic devices.

[0072] Specifically, the present disclosure first determines the first reference maintenance devices according to the relationship between meteorological data and photovoltaic devices.

[0073] The first database in step S102 stores the association relationship between historical meteorological data and equipment maintenance records when historical meteorological disasters occur. It should be noted that the equipment maintenance records here are determined based on historical meteorological data.

[0074] In the implementation of the present disclosure, the above first database is established by performing the following steps: obtaining historical meteorological data when a meteorological disaster occurs; calculating the extreme value of the change of the above historical meteorological data relative to the reference value according to the category of the historical meteorological data and the reference value corresponding to each category; forming a meteorological record group according to the above historical meteorological data and the extreme value corresponding to the historical meteorological data; obtaining the first maintenance equipment determined according to the above meteorological record group and the equipment maintenance record corresponding to the first maintenance equipment, where the first maintenance equipment represents the maintenance equipment determined according to meteorological data; associating the meteorological record group and the equipment maintenance record corresponding to any meteorological disaster to obtain the above first database.

[0075] In other words, the above first database records historical meteorological data in the form of a meteorological record group, and the meteorological data group represents the historical meteorological data recorded in the form of an array and the extreme value corresponding to the historical meteorological data. The meteorological data groups corresponding to the same meteorological disaster form a meteorological data set. The steps for determining the extreme value may include: collecting meteorological records of the photovoltaic power station when no meteorological disaster is received, and obtaining the reference values of various meteorological data of the photovoltaic power station; obtaining various meteorological data of the photovoltaic power station when the photovoltaic power station is affected by a meteorological disaster; classifying and collecting various meteorological data to obtain the extreme value of the change of various meteorological data relative to the reference value in this meteorological disaster, where the extreme value includes the maximum value or the minimum value, and forming a meteorological record group by combining the extreme value with the corresponding item of meteorological data. For example, the meteorological data group corresponding to the i-th item of meteorological data is (M i , d 1i ), M i represents the i-th item of meteorological data, and d 1i represents the extreme value of the change of the i-th item of meteorological data relative to the reference value.

[0076] The above maintenance records can be obtained in the following way: obtaining the maintenance records of the photovoltaic power generation equipment in the photovoltaic power station after a certain meteorological disaster, obtaining the types of components included in the photovoltaic power generation equipment in the photovoltaic power station, and classifying the maintenance records according to the types of components in the photovoltaic power generation equipment; where the types of components in the photovoltaic power generation equipment are, for example: photovoltaic brackets, photovoltaic panels, inverters, controllers, and energy storage components; denoting the j-th type of component of the photovoltaic power generation equipment as E qj , obtaining the average maintenance man-hours of the j-th type of component of the photovoltaic power generation equipment, and using the average maintenance man-hours as the maintenance man-hour characteristic value to form a maintenance record group (E qj , t qj of the j-th type of component of the photovoltaic power generation equipment. 0j), where t 0j represents the maintenance man-hour eigenvalue of the j-th component of the photovoltaic power generation device, where t 0j > 0; collect the maintenance record groups of all types of components in the photovoltaic power station to obtain the equipment maintenance set corresponding to a certain meteorological disaster; form the first association pair by combining the meteorological data set and the equipment maintenance set.

[0077] When performing meteorological data matching in step S102, the target meteorological data group can be determined by matching the historical meteorological data with the highest similarity to the current meteorological data from the first database, and then the maintenance equipment corresponding to the target meteorological data group is determined as the first reference maintenance equipment. In this way, the reference maintenance equipment under the meteorological data measurement dimension can be determined.

[0078] Next, continue to determine the second reference maintenance equipment under the equipment power generation efficiency dimension.

[0079] In the embodiment of the present application, step S103 can be specifically: first determine the equipment power generation efficiency within the unit detection period before and after the disaster by calculation or prediction, and then predict the evaluation of the equipment power generation change in this disaster. In the embodiment of the present disclosure, the equipment power generation efficiency after the disaster can be predicted by a deep learning algorithm.

[0080] In the embodiment of the present disclosure, the evaluation of power generation change may include average power generation power, peak power generation power, the degree of dispersion of power generation power sampling values, and photoelectric conversion efficiency, etc.

[0081] The second database in step S104 records the association pairs of historical equipment power generation change evaluations and equipment maintenance records. Among them, the above association pairs can be obtained through the following steps: set the unit detection period, record the unit detection period before being affected by a certain meteorological disaster as the first detection time period, and record the unit detection period after being affected by a certain meteorological disaster as the second detection time period; obtain the evaluation index of the electric energy output of the photovoltaic power generation device, collect the evaluation records of the photovoltaic power generation device, obtain the difference between the corresponding values of the evaluation index in the first detection time period and the second detection time period, and form a power generation change evaluation group with the evaluation index and the difference; form an association pair by combining the power generation change evaluation group and the equipment maintenance set.

[0082] In the implementation of the present disclosure, in addition to determining the first reference maintenance device and the second reference maintenance device, it is also necessary to determine the third reference maintenance device. The specific process is as follows: Extract the feature words of the above meteorological disaster warning information and match the meteorological disaster type corresponding to the above meteorological disaster warning; Determine the intensity of the meteorological disaster according to the above current meteorological data and the above meteorological disaster type; Match the third reference maintenance device set according to the above meteorological disaster type, the above meteorological disaster intensity and a preset third database, where the third database includes the association relationship between the meteorological disaster type, the meteorological disaster intensity and the device maintenance record, and the above third reference device maintenance set represents the third reference maintenance device determined according to the meteorological disaster type and the meteorological disaster intensity.

[0083] In an embodiment of the present disclosure, the degree of the above meteorological disaster may include: blue warning, yellow warning, orange warning and red warning.

[0084] According to the above content, in an embodiment of the present application, step S105 may be specifically: In response to determining that any maintenance device belongs to the first reference device maintenance set or the second reference device maintenance set, determine that the maintenance device is the target maintenance device; Calculate the weight value of the above target maintenance device according to the occurrence times of the above target maintenance device in the above first reference device maintenance set, the above second reference device maintenance set and the device maintenance record of the above third reference device maintenance set; Determine the priority of the above target maintenance device according to the weight values of all the above target maintenance devices; Generate a maintenance strategy for the above target maintenance device according to the priority of the above target maintenance device.

[0085] The introduction of the third reference maintenance device set makes the maintenance strategy more in line with the actual disaster scenario. Combining multi-dimensional data fusion and dynamic priority sorting significantly improves the scientificity and accuracy of maintenance decisions. In this way, the technical solution of the present disclosure can not only effectively reduce the damage of disasters to photovoltaic devices, but also optimize the allocation of operation and maintenance resources, improve the stability and power generation efficiency of the photovoltaic system, and has important practical value and economic significance.

[0086] In an embodiment of the present disclosure, the third reference maintenance device set may be specifically determined in the following manner: Identify the feature words in the warning information of the current meteorological disaster, collect the feature words and record them in the target feature word set, obtain the feature word set identical to the target feature word set, respectively obtain all meteorological record relation pairs associated with the feature word set, and obtain all meteorological data sets of the meteorological record relation pairs; Extract all extreme values of the i-th meteorological data, take the average value of all extreme values as the reference value of the same meteorological data, and form a meteorological reference group with the reference value and the meteorological data. Among them, the meteorological reference group corresponding to the i-th meteorological data is (M i , d 2i ), Mi represents the i-th meteorological data, d 2iRepresents the reference value of all extreme values of the i-th meteorological data; a meteorological reference group that aggregates all items of meteorological data is obtained to form a meteorological reference set, and a reference meteorological data set is acquired. The reference meteorological data set satisfies the condition that the extreme values of each item of meteorological data in the reference meteorological data set are the same as the reference values of the same item of meteorological data in the meteorological reference set; a third reference maintenance equipment set corresponding to the reference meteorological data set is obtained.

[0087] In an embodiment of the present disclosure, the above device maintenance record includes device maintenance man-hours.

[0088] In an embodiment of the present disclosure, according to the occurrence times of the above target maintenance device in the above first reference device maintenance set, the above second reference device maintenance set, and the device maintenance record of the above third reference device maintenance set, calculating the weight value of the above target maintenance device may specifically include: in response to determining that the above target maintenance device belongs to the above first reference device maintenance set, determining the first device maintenance man-hours of the above target maintenance device in the above first reference device maintenance set; in response to determining that the above target maintenance device belongs to the above second reference device maintenance set, determining the second device maintenance man-hours of the above target maintenance device in the above second reference device maintenance set; in response to determining that the above target maintenance device belongs to the above third reference device maintenance set, determining the third device maintenance man-hours of the above target maintenance device in the above third reference device maintenance set; calculating the weight value of the above target maintenance device according to the difference between the above first device maintenance man-hours, the above second device maintenance man-hours, and the above third device maintenance man-hours, and a preset weight coefficient.

[0089] In an embodiment of the present disclosure, assume that the first reference device maintenance set is U1, the second reference device maintenance set is U2, and the third reference device maintenance set is U3. When the j-th component E of the photovoltaic power generation device qj meets the condition, E qj ∈U2 and / or E qj ∈U3, obtain the maintenance man-hour characteristic value t of E qj in the first component set U1 1j , the maintenance man-hour characteristic value t in the first target maintenance set 2j and the maintenance man-hour characteristic value of the maintenance man-hour characteristic value in the second target maintenance set t 3j (if not, it can be set to the default value); calculate the weight value a of the j-th component of the photovoltaic power generation device j , α j =(t 2j +t 3j -n×t 1j )×A n , where n represents the number of occurrences of E qj in U2 and U3.

[0090] For example, when the j-th type of component E qj ∈U2 and at this time, the weight α j =(t 2j -t 1j )×A. When the j-th type of photovoltaic device E qj ∈U3 and at this time, the weight α j =(t 3j -t 1j )×A. When the j-th type of photovoltaic device E qj ∈U2 and E qj ∈U3, the weight α j =(t 2j +t 3j -2×t 1j )×A 2 .

[0091] After that, the weight values of all types of photovoltaic power generation devices can be sorted according to the weight values from high to low to obtain a device sequence, and the device sequence is sent to relevant management personnel.

[0092] It can be understood that this method can be executed by any device, equipment, platform, or device cluster with computing and processing capabilities.

[0093] It should be noted that the method of one or more embodiments of the present disclosure can be executed by a single device, such as a computer or a server. The method of this embodiment can also be applied to a distributed scenario and completed by multiple devices cooperating with each other. In this distributed scenario, one of the multiple devices can only execute one or more steps of the method of one or more embodiments of the present disclosure, and these multiple devices will interact with each other to complete the described method.

[0094] It should be noted that the above describes specific embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the figures do not necessarily require the specific order or sequential order shown to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0095] Based on the same inventive concept, corresponding to the method of any of the above embodiments, the present disclosure also provides a photovoltaic device maintenance device. As Figure 2 shown, the device includes

[0096] An acquisition module 11, configured to acquire current meteorological data in response to receiving meteorological disaster warning information;

[0097] A first matching module 12, configured to match a first reference equipment maintenance set according to the current meteorological data and a preset first database, the first database including the association relationship between historical meteorological data and equipment maintenance records, and the first reference equipment maintenance set representing the first reference maintenance equipment determined according to meteorological data;

[0098] A calculation module 13, configured to calculate an equipment power generation change assessment by comparing the equipment power generation efficiency within a unit detection period before and after the disaster according to the meteorological disaster warning information, the current meteorological data, and historical meteorological data;

[0099] A second matching module 14, configured to match a second reference equipment maintenance set according to the equipment power generation change assessment and a preset second database, the second database including the association relationship between historical equipment power generation change assessments and equipment maintenance records, and the second reference equipment maintenance set representing the second reference maintenance equipment determined according to the equipment power generation change assessment;

[0100] A generation module 15, configured to determine target maintenance equipment according to the first reference equipment maintenance set and the second reference equipment maintenance set, and generate a maintenance strategy for the target maintenance equipment.

[0101] For the convenience of description, the above device is described by dividing it into various modules according to functions. Of course, when implementing one or more embodiments of the present disclosure, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0102] The device in the above embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be elaborated here.

[0103] Figure 3 FIG. shows a more specific schematic diagram of the hardware structure of an electronic device provided in this embodiment. The device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. Among them, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are communicatively connected to each other inside the device through the bus 1050.

[0104] The processor 1010 may be implemented in the form of a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits, etc., and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present disclosure.

[0105] The memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When implementing the technical solutions provided in the embodiments of the present disclosure through software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0106] The input / output interface 1030 is used to connect to the input / output module to implement information input and output. The input / output module may be configured as a component in the device (not shown in the figure) or may be externally connected to the device to provide corresponding functions. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.

[0107] The communication interface 1040 is used to connect to a communication module (not shown in the figure) to implement communication interaction between this device and other devices. The communication module may implement communication in a wired manner (such as USB, network cable, etc.) or in a wireless manner (such as mobile network, WIFI, Bluetooth, etc.).

[0108] The bus 1050 includes a path for transmitting information between various components of the device (such as the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0109] It should be noted that although only the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040, and the bus 1050 are shown in the above device, in the specific implementation process, the device may further include other components necessary for normal operation. In addition, those skilled in the art can understand that the above device may also only include the components necessary for implementing the solutions of the embodiments of the present disclosure and do not necessarily include all the components shown in the figure.

[0110] The electronic device in the above embodiment is used to implement the corresponding method in the foregoing embodiment and has the beneficial effects of the corresponding method embodiment, which will not be elaborated herein.

[0111] The computer-readable media of this embodiment include permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0112] Those of ordinary skill in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples; under the concept of the present disclosure, the technical features between the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations in different aspects of one or more embodiments of the present disclosure as described above, and for the sake of brevity, they are not provided in detail.

[0113] In addition, for the sake of simplicity of explanation and discussion, and in order not to make one or more embodiments of the present disclosure difficult to understand, the well-known power / ground connections to integrated circuit (IC) chips and other components may or may not be shown in the provided drawings. In addition, the devices may be shown in block diagram form in order to avoid making one or more embodiments of the present disclosure difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which one or more embodiments of the present disclosure are to be implemented (i.e., these details should be completely within the understanding of those skilled in the art). In the case where specific details (such as circuits) are set forth to describe exemplary embodiments of the present disclosure, it will be apparent to those skilled in the art that one or more embodiments of the present disclosure can be implemented without these specific details or with variations of these specific details. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0114] Although the present disclosure has been described in connection with specific embodiments of the present disclosure, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art based on the foregoing description. For example, other memory architectures (such as dynamic RAM (DRAM)) can be used with the embodiments discussed.

[0115] One or more embodiments of the present disclosure are intended to cover all such substitutions, modifications, and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present disclosure shall be included within the protection scope of the present disclosure.

Claims

1. A photovoltaic equipment maintenance method, characterized in that: include: In response to receiving meteorological disaster warning information, obtaining current meteorological data; According to the current meteorological data and a preset first database, a first reference equipment maintenance set is matched, wherein the first database includes an association relationship between historical meteorological data and equipment maintenance records, and the first reference equipment maintenance set represents a first reference maintenance equipment determined according to the meteorological data; According to the meteorological disaster warning information, the current meteorological data and the historical meteorological data, by comparing the power generation efficiency of the equipment within a unit detection period before and after the disaster, the power generation change assessment of the equipment is calculated; According to the equipment power generation change assessment and a preset second database, a second reference equipment maintenance set is matched, wherein the second database includes an association relationship between historical equipment power generation change assessments and equipment maintenance records, and the second reference equipment maintenance set represents a second reference maintenance equipment determined according to the equipment power generation change assessment; A target maintenance device is determined according to the first reference device maintenance set and the second reference device maintenance set, and a maintenance policy for the target maintenance device is generated.

2. The method according to claim 1, characterized in that: The determining a target maintenance device according to the first reference device maintenance set and the second reference device maintenance set, and generating a maintenance policy for the target maintenance device, includes: Extracting characteristic words of the meteorological disaster warning information and matching the meteorological disaster type corresponding to the meteorological disaster warning; Determining the intensity of the meteorological disaster according to the current meteorological data and the type of meteorological disaster; According to the meteorological disaster type, the meteorological disaster intensity and a preset third database, a third reference maintenance equipment set is matched, the third database includes an association relationship between the meteorological disaster type, the meteorological disaster intensity and the equipment maintenance record, and the third reference equipment maintenance set represents the third reference maintenance equipment determined according to the meteorological disaster type and the meteorological disaster intensity; In response to determining that any maintenance device belongs to the first reference device maintenance set or the second reference device maintenance set, determining the maintenance device as a target maintenance device; Calculate a weight value of the target maintenance device according to the number of occurrences of the target maintenance device in the first reference device maintenance set, the second reference device maintenance set, and the device maintenance record of the third reference device maintenance set; Determining the priority of the target maintenance device according to the weight values ​​of all the target maintenance devices; A maintenance policy targeting the target maintenance device is generated according to the priority of the target maintenance device.

3. The method according to claim 1, characterized in that The equipment maintenance record includes equipment maintenance man-hours; The calculating the weight value of the target maintenance device according to the number of occurrences of the target maintenance device in the first reference device maintenance set, the second reference device maintenance set, and the device maintenance record in the third reference device maintenance set includes: In response to determining that the target maintenance device belongs to the first reference device maintenance set, determining a first device maintenance man-hour of the target maintenance device in the first reference device maintenance set; In response to determining that the target maintenance device belongs to the second reference device maintenance set, determining a second device maintenance man-hour of the target maintenance device in the second reference device maintenance set; In response to determining that the target maintenance device belongs to the third reference device maintenance set, determining a third device maintenance man-hour for the target maintenance device in the third reference device maintenance set; The weight value of the target maintenance equipment is calculated according to the difference between the first equipment maintenance hours, the second equipment maintenance hours and the third equipment maintenance hours, and a preset weight coefficient.

4. The method according to claim 1, characterized in that The first database is established by executing the following steps: Obtain historical meteorological data when meteorological disasters occur; According to the categories of the historical meteorological data and the reference values ​​corresponding to each category, calculating the extreme value of the historical meteorological data relative to the reference value; forming a meteorological record group according to the historical meteorological data and the extreme values ​​corresponding to the historical meteorological data; Acquire a first maintenance device determined according to the meteorological record group and a device maintenance record corresponding to the first maintenance device, wherein the first maintenance device indicates a maintenance device determined according to the meteorological data; The meteorological record group corresponding to any meteorological disaster is associated with the equipment maintenance record to obtain the first database.

5. The method according to claim 1, characterized in that The second database is established by executing the following steps: Obtain equipment power evaluation data for unit inspection cycles before and after meteorological disasters occur; According to the difference of the equipment power evaluation data before and after the meteorological disaster occurs, the equipment power generation change evaluation corresponding to the meteorological disaster is obtained; Acquire a second maintenance device determined according to the device power generation change assessment and a device maintenance record corresponding to the second maintenance device, wherein the second maintenance device represents a maintenance device determined according to the device power generation change assessment; The second database is obtained by associating the equipment power generation change assessment and equipment maintenance record corresponding to any meteorological disaster.

6. The method according to claim 4, characterized in that The meteorological disaster intensity is determined by performing the following steps: Calculate the mean of all extreme values ​​of historical meteorological data in the first database to obtain a current reference value; According to the current meteorological data and the current reference value, obtaining the current extreme value of the current meteorological data; According to the current meteorological data and the current extreme value, matching the meteorological record group with the highest similarity in the first database; The meteorological disaster intensity is determined according to the historical meteorological disaster intensity corresponding to the meteorological record group.

7. The method according to claim 5, characterized in that The device power generation change assessment is performed by performing the following steps to determine: Get current equipment power evaluation data; Predicting predicted equipment power evaluation data after a disaster occurs based on the current equipment power evaluation data and the current meteorological data; The device power generation change assessment is determined based on a difference between the current device power assessment data and the predicted device power assessment data.

8. A photovoltaic equipment maintenance device, characterized in that: include: an acquisition module, configured to acquire current meteorological data in response to receiving meteorological disaster warning information; a first matching module configured to match a first reference equipment maintenance set according to the current meteorological data and a preset first database, the first database including an association relationship between historical meteorological data and equipment maintenance records, the first reference equipment maintenance set representing a first reference maintenance equipment determined according to the meteorological data; A calculation module is configured to calculate the equipment power generation change assessment by comparing the equipment power generation efficiency within a unit detection period before and after the disaster according to the meteorological disaster warning information, the current meteorological data and the historical meteorological data; a second matching module, configured to match a second reference equipment maintenance set according to the equipment power generation change assessment and a preset second database, the second database including an association relationship between historical equipment power generation change assessments and equipment maintenance records, the second reference equipment maintenance set representing a second reference maintenance equipment determined according to the equipment power generation change assessment; The generating module is configured to determine a target maintenance device according to the first reference device maintenance set and the second reference device maintenance set, and generate a maintenance policy for the target maintenance device.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute any one of claims 1 to 7.

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