Method, System and Device for Updating Wind Resource Atlas

Abstract

The present invention provides a method, system and device for updating a wind resource map. The method includes: obtaining operation data and first coordinate data corresponding to at least one wind farm, as well as wind measurement data and second coordinate data of at least one wind measurement device; processing the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device to obtain target operation data corresponding to each wind farm and target wind measurement data of each wind measurement device; for any point of interest in the wind resource map, determining at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each wind farm, and determining at least one first wind measurement device corresponding to the point of interest according to the second coordinate data of each wind measurement device; updating the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each point of interest.

Description

Technical Field

[0001] The present invention relates to the technical field of wind resources, and in particular, to a method, a system, and a device for updating a wind resource map. Background Art

[0002] The power output of a wind farm (wind power farm) is closely related to the characteristics such as wind speed and wind direction of the project site. Therefore, the wind resource map obtained through the wind resource assessment method is very important for the site selection of the wind farm and the construction of the wind farm.

[0003] Traditional wind resource assessment methods mainly rely on the measured data of wind measurement equipment (such as wind measurement towers, etc.) and the numerical simulation of mesoscale data. However, the assessment accuracy of these methods is limited by many factors, such as the lack of wind measurement equipment in some areas or the poor quality of wind measurement data, and the insufficient resolution of mesoscale data, etc., resulting in low accuracy of the obtained wind resource map. Summary of the Invention

[0004] The present invention aims to at least solve one of the technical problems in the related art to some extent.

[0005] To this end, the first object of the present invention is to propose a method for updating a wind resource map, so as to update the generated wind resource map based on the operation data of the wind farm and the wind measurement data of the wind measurement equipment, make up for the problem of the lack of wind measurement equipment in some areas or the poor quality of wind measurement data, and improve the accuracy of the existing wind resource map.

[0006] The second object of the present invention is to propose a system for updating a wind resource map.

[0007] The third object of the present invention is to propose a device for updating a wind resource map.

[0008] The fourth object of the present invention is to propose an electronic device.

[0009] The fifth object of the present invention is to propose a computer-readable storage medium.

[0010] The sixth object of the present invention is to propose a computer program product.

[0011] To achieve the above object, an embodiment of the first aspect of the present invention provides a method for updating a wind resource map, including: obtaining operation data and first coordinate data corresponding to at least one wind farm, as well as wind measurement data and second coordinate data of at least one wind measurement device; processing the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device to obtain target operation data corresponding to each wind farm and target wind measurement data of each wind measurement device; wherein, the target operation data and the target wind measurement data have the same data dimension; for any point of interest in the wind resource map, determining at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each wind farm, and determining at least one first wind measurement device corresponding to the point of interest according to the second coordinate data of each wind measurement device; updating the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each point of interest.

[0012] In addition, the method for updating a wind resource map provided by the embodiment of the first aspect of the present invention may further have the following additional technical features:

[0013] According to an embodiment of the present invention, the distance between any point of interest and at least one first wind farm corresponding to the point of interest is not greater than a first preset distance, and the distance between any point of interest and at least one first wind measurement device corresponding to the point of interest is not greater than a second preset distance.

[0014] According to an embodiment of the present invention, the wind resource map includes an absolute value map of wind resources. The updating of the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each point of interest includes:

[0015] For any point of interest, determining a first weight corresponding to each first wind farm according to the first coordinate data corresponding to at least one first wind farm corresponding to the point of interest, and determining a second weight corresponding to each first wind measurement device according to the second coordinate data of at least one first wind measurement device corresponding to the point of interest;

[0016] Determining the target data of the point of interest according to the target operation data and first weight corresponding to each first wind farm, and the target wind measurement data and second weight of each first wind measurement device;

[0017] Updating the absolute value map of wind resources according to the target data of each point of interest.

[0018] According to an embodiment of the present invention, determining the target data of the point of interest based on the target operation data and the first weight corresponding to each of the first wind farms, and the target wind measurement data and the second weight of each of the first wind measurement devices includes:

[0019] For any one of the first wind farms, multiply the target operation data corresponding to the first wind farm by the first weight corresponding to the first wind farm to obtain the first data corresponding to the first wind farm;

[0020] For any one of the first wind measurement devices, multiply the target wind measurement data of the first wind measurement device by the second weight corresponding to the first wind measurement device to obtain the second data corresponding to the first wind measurement device;

[0021] Add the first data corresponding to each of the first wind farms to obtain the first target data, and add the second data corresponding to each of the first wind measurement devices to obtain the second target data;

[0022] Perform weighted summation of the first target data and the second target data to determine the target data of the point of interest.

[0023] According to an embodiment of the present invention, the wind resource map includes a wind resource error map. Updating the wind resource map based on the target operation data and the first coordinate data corresponding to at least one first wind farm corresponding to each of the points of interest, and the target wind measurement data and the second coordinate data of at least one first wind measurement device corresponding to each of the points of interest includes:

[0024] For any one of the first wind farms corresponding to any one of the points of interest, determine the second wind measurement device closest to the first wind farm from at least one first wind measurement device corresponding to the point of interest according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first wind measurement device corresponding to the point of interest;

[0025] Perform fitting and error analysis on the target operation data of the first wind farm and the target wind measurement data of the second wind measurement device to obtain the fitting coefficient and the relative error corresponding to the first wind farm;

[0026] For any one of the points of interest, determine whether the fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet a preset condition to obtain a second wind farm for which at least one fitting coefficient corresponding to the point of interest meets the preset condition;

[0027] Determine the relative error corresponding to the point of interest according to the relative errors corresponding to each of the second wind farms and the first coordinate data corresponding to each of the second wind farms;

[0028] Update the wind resource error map according to the relative error corresponding to each of the points of interest.

[0029] According to an embodiment of the present invention, the determining the relative error corresponding to the point of interest according to the relative error corresponding to each of the second wind farms and the first coordinate data corresponding to each of the second wind farms includes:

[0030] Determine the third weight corresponding to each of the second wind farms according to the first coordinate data corresponding to each of the second wind farms;

[0031] For any one of the second wind farms, multiply the relative error corresponding to the second wind farm by the third weight corresponding to the second wind farm to obtain the weighted error corresponding to the second wind farm;

[0032] Sum the weighted errors corresponding to each of the second wind farms to obtain the relative error corresponding to the point of interest.

[0033] According to an embodiment of the present invention, the processing the operation data corresponding to each of the wind farms and the wind measurement data of each of the wind measurement devices to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the wind measurement devices includes:

[0034] Preprocess the operation data corresponding to each of the wind farms and the wind measurement data of each of the wind measurement devices to obtain the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices; wherein, the preprocessing includes at least one of screening, cleaning, outlier processing, and interpolation;

[0035] Standardize the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the wind measurement devices.

[0036] According to an embodiment of the present invention, the standardizing the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the wind measurement devices includes:

[0037] Unify the data formats of the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the wind measurement devices.

[0038] To achieve the above object, an embodiment of the second aspect of the present invention proposes an update system for a wind resource map, which is characterized by including: a data acquisition module, a data preprocessing module, a data standardization module, a data analysis module, and a map update module;

[0039] Among them, the data acquisition module is used to acquire the operation data and the first coordinate data corresponding to at least one wind farm, as well as the wind measurement data and the second coordinate data of at least one anemometer; the data preprocessing module is used to preprocess the operation data corresponding to each wind farm and the wind measurement data of each anemometer to obtain the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each anemometer; among them, the preprocessing includes at least one of screening, cleaning, outlier processing, and interpolation; the data standardization module is used to standardize the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each anemometer to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each anemometer; the data analysis module is used to, for any point of interest in the wind resource map, determine at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each wind farm, and determine at least one first anemometer corresponding to the point of interest according to the second coordinate data of each anemometer; the map update module is used to update the wind resource map according to the target operation data and the first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and the second coordinate data of at least one first anemometer corresponding to each point of interest.

[0040] To achieve the above object, an embodiment of the third aspect of the present invention proposes an update device for a wind resource map, including:

[0041] An acquisition module, configured to acquire the operation data and the first coordinate data corresponding to at least one wind farm, as well as the wind measurement data and the second coordinate data of at least one anemometer; a processing module, configured to process the operation data corresponding to each wind farm and the wind measurement data of each anemometer to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each anemometer; among them, the target operation data and the target wind measurement data have the same data dimension; a determination module, configured to, for any point of interest in the wind resource map, determine at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each wind farm, and determine at least one first anemometer corresponding to the point of interest according to the second coordinate data of each anemometer; an update module, configured to update the wind resource map according to the target operation data and the first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and the second coordinate data of at least one first anemometer corresponding to each point of interest.

[0042] In addition, the update device for the wind resource map proposed in the embodiment of the third aspect of the present invention may also have the following additional technical features:

[0043] According to an embodiment of the present invention, the distance between any one of the points of interest and at least one first wind farm corresponding to the point of interest is not greater than a first preset distance, and the distance between any one of the points of interest and at least one first wind measurement device corresponding to the point of interest is not greater than a second preset distance.

[0044] According to an embodiment of the present invention, the wind resource map includes an absolute wind resource map. When the updating module updates the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and second coordinate data corresponding to at least one first wind measurement device corresponding to each point of interest, it includes:

[0045] A first determination unit, configured to, for any one of the points of interest, determine a first weight corresponding to each first wind farm according to the first coordinate data corresponding to at least one first wind farm corresponding to the point of interest, and determine a second weight corresponding to each first wind measurement device according to the second coordinate data corresponding to at least one first wind measurement device corresponding to the point of interest;

[0046] A second determination unit, configured to determine the target data of the point of interest according to the target operation data and first weight corresponding to each first wind farm, and the target wind measurement data and second weight corresponding to each first wind measurement device;

[0047] A first updating unit, configured to update the absolute wind resource map according to the target data of each point of interest.

[0048] According to an embodiment of the present invention, when the third determination unit determines the target data of the point of interest according to the target operation data and first weight corresponding to each first wind farm, and the target wind measurement data and second weight corresponding to each first wind measurement device, it includes:

[0049] For any one of the first wind farms, multiply the target operation data corresponding to the first wind farm by the first weight corresponding to the first wind farm to obtain a first data corresponding to the first wind farm;

[0050] For any one of the first wind measurement devices, multiply the target wind measurement data of the first wind measurement device by the second weight corresponding to the first wind measurement device to obtain a second data corresponding to the first wind measurement device;

[0051] Add the first data corresponding to each first wind farm to obtain a first target data, and add the second data corresponding to each first wind measurement device to obtain a second target data;

[0052] Perform a weighted sum of the first target data and the second target data to determine the target data of the point of interest.

[0053] According to an embodiment of the present invention, the wind resource map includes a wind resource error map. When the updating module updates the wind resource map according to the target operation data and the first coordinate data corresponding to at least one first wind farm corresponding to each of the points of interest, and the target wind measurement data and the second coordinate data corresponding to at least one first wind measurement device corresponding to each of the points of interest, it includes:

[0054] A third determination unit, for any one of the first wind farms corresponding to any one of the points of interest, determines, according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first wind measurement device corresponding to the point of interest, the second wind measurement device closest to the first wind farm from the at least one first wind measurement device corresponding to the point of interest;

[0055] A processing unit, for performing fitting and error analysis on the target operation data corresponding to the first wind farm and the target wind measurement data of the second wind measurement device, to obtain the fitting coefficient and the relative error corresponding to the first wind farm;

[0056] A judgment unit, for any one of the points of interest, judges whether the fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet a preset condition, to obtain a second wind farm whose at least one fitting coefficient corresponding to the point of interest meets the preset condition;

[0057] A fourth determination unit, for determining the relative error corresponding to the point of interest according to the relative error corresponding to each of the second wind farms and the first coordinate data corresponding to each of the second wind farms;

[0058] A second updating unit, for updating the wind resource error map according to the relative error corresponding to each of the points of interest.

[0059] According to an embodiment of the present invention, when the fourth determination unit determines the relative error corresponding to the point of interest according to the relative error corresponding to each of the second wind farms and the first coordinate data corresponding to each of the second wind farms, it includes:

[0060] Determining the third weight corresponding to each of the second wind farms according to the first coordinate data corresponding to each of the second wind farms;

[0061] For any one of the second wind farms, multiplying the relative error corresponding to the second wind farm by the third weight corresponding to the second wind farm, to obtain the weighted error corresponding to the second wind farm;

[0062] Summing the weighted errors corresponding to each of the second wind farms, to obtain the relative error corresponding to the point of interest.

[0063] According to an embodiment of the present invention, when the processing module is used to process the operation data corresponding to each of the wind farms and the wind measurement data of each of the wind measurement devices to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the wind measurement devices, it includes:

[0064] A preprocessing unit for preprocessing the operation data corresponding to each of the wind farms and the wind measurement data of each of the wind measurement devices to obtain the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices; wherein, the preprocessing includes at least one of screening, cleaning, outlier processing, and interpolation;

[0065] A standardization unit for standardizing the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the wind measurement devices.

[0066] According to an embodiment of the present invention, when the standardization unit is used to standardize the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the wind measurement devices, it includes:

[0067] Unify the data formats of the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the wind measurement devices.

[0068] To achieve the above object, an embodiment of the fourth aspect of the present invention provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for updating the wind resource map proposed in the foregoing first aspect.

[0069] To achieve the above object, an embodiment of the fifth aspect of the present invention provides a computer-readable storage medium storing computer instructions, and the computer instructions are used to cause the computer to execute the method for updating the wind resource map proposed in the foregoing first aspect.

[0070] To achieve the above object, an embodiment of the sixth aspect of the present invention provides a computer program product, including a computer program, and the computer program realizes the method for updating the wind resource map proposed in the foregoing first aspect when executed by a processor.

[0071] The technical solution provided by the embodiment of the present invention has the following beneficial effects:

[0072] By obtaining the operation data and the first coordinate data corresponding to at least one wind farm, as well as the wind measurement data and the second coordinate data of at least one wind measurement device, the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device are processed to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each wind measurement device. Among them, the target operation data and the target wind measurement data have the same data dimension. Thus, for any point of interest in the wind resource map, at least one first wind farm corresponding to the point of interest is determined according to the first coordinate data corresponding to each wind farm, and at least one first wind measurement device corresponding to the point of interest is determined according to the second coordinate data of each wind measurement device. Furthermore, the wind resource map is updated according to the target operation data and the first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and the second coordinate data of at least one first wind measurement device corresponding to each point of interest. Thus, the method can update the generated wind resource map based on the operation data of the wind farm and the wind measurement data of the wind measurement device, make up for the problem of the lack of wind measurement devices or poor quality of wind measurement data in some areas, and improve the accuracy of the existing wind resource map.

[0073] Additional aspects and advantages of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] The above and / or additional aspects and advantages of the present invention will become apparent and easy to understand from the following description of the embodiments in conjunction with the drawings, wherein:

[0075] Figure 1 is a schematic flowchart of a method for updating a wind resource map provided by an embodiment of the present invention;

[0076] Figure 2 is a schematic flowchart of another method for updating a wind resource map provided by an embodiment of the present invention;

[0077] Figure 3 is a schematic flowchart of another method for updating a wind resource map provided by an embodiment of the present invention;

[0078] Figure 4 is a schematic structural diagram of a system for updating a wind resource map provided by an embodiment of the present invention;

[0079] Figure 5 is a schematic structural diagram of a device for updating a wind resource map provided by an embodiment of the present invention;

[0080] Figure 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0081] Embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are intended to explain the present invention, and should not be construed as limiting the present invention.

[0082] The method and device for updating a wind resource map according to an embodiment of the present invention will be described below with reference to the accompanying drawings.

[0083] It should be noted that all actions of obtaining signals, information or data in the present invention are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where it is located and obtaining authorization from the owner of the corresponding device.

[0084] Figure 1 It is a schematic flow chart of a method for updating a wind resource map provided by an embodiment of the present invention.

[0085] It should be noted that the method for updating a wind resource map according to an embodiment of the present invention can be executed by the device for updating a wind resource map provided by an embodiment of the present invention. The device for updating a wind resource map in the present invention can be applied to an electronic device to execute the function of updating a wind resource map. Alternatively, the device for updating a wind resource map can be configured in an application of the electronic device so that the application can execute the function of updating a wind resource map.

[0086] Among them, the electronic device can be any device with computing power, and the device or an application in the device can execute the function of updating a wind resource map. Among them, the device with computing power can be, for example, a personal computer (Personal Computer, abbreviated as PC), a mobile terminal, a server, etc. The mobile terminal can be, for example, a vehicle-mounted device, a mobile phone, a tablet computer, a personal digital assistant, a wearable device, etc., which are hardware devices with various operating systems, touch screens and / or display screens.

[0087] As Figure 1 shown, the method for updating a wind resource map includes the following steps:

[0088] Step 101, obtain operation data and first coordinate data corresponding to at least one wind farm, as well as wind measurement data and second coordinate data of at least one wind measurement device.

[0089] Among them, one wind farm corresponds to one set of operation data. Optionally, the operation data corresponding to any wind farm can be obtained by integrating the operation data of at least one wind turbine in the wind farm. For example, the operation data of all wind turbines in the wind farm can be concatenated into a matrix, and this matrix is the operation data corresponding to the wind farm. Among them, the operation data of the wind turbine can include the wind speed, wind direction, temperature, operation status of the wind turbine, and fault status information of the wind turbine.

[0090] As an example, the wind resource map updating device can collect the operation data of all operating wind turbines in any wind farm through the remote terminal unit, that is, collect the wind speed, wind direction, temperature, operation status of the wind turbine, and fault status information of all operating wind turbines in any wind farm, and transmit the collected data to the central computer of the wind farm SCADA (Supervisory Control and Data Acquisition) system, so as to splice the operation data of all operating wind turbines in any wind farm through the central computer to obtain the operation data corresponding to any wind farm.

[0091] Among them, the first coordinate data corresponding to the wind farm refers to the coordinate data of the center point position of the wind farm.

[0092] Among them, the wind measurement data of the wind measurement device can include the wind speed, wind direction, temperature, and pressure of the wind measurement device.

[0093] Among them, the second coordinate data of the wind measurement device refers to the coordinate data of the location where the wind measurement device is located.

[0094] In this embodiment, the wind resource map updating device can obtain the operation data and the first coordinate data corresponding to at least one wind farm, as well as the wind measurement data and the second coordinate data of at least one wind measurement device through various public, legal, and compliant methods. For example, the wind resource map updating device can obtain the operation data and the first coordinate data corresponding to at least one wind farm, as well as the wind measurement data and the second coordinate data of at least one wind measurement device from other devices through network transmission.

[0095] Step 102: Process the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each wind measurement device.

[0096] Among them, the target operation data and the target wind measurement data have the same data dimension.

[0097] As a possible implementation, the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device can be preprocessed first to obtain the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device. Among them, the preprocessing includes at least one of screening, cleaning, outlier processing, and interpolation. Then, the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device are standardized, so as to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each wind measurement device. Optionally, standardizing the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device may mean unifying the data formats of the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device.

[0098] As an example, the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device can be preprocessed separately. For example, the unreasonable data and invalid data in the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device can be screened or cleaned first, and then the missing values in the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device after screening or cleaning can be filled by interpolation, so as to obtain the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device. Furthermore, the data formats of the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device are unified, so that the target operation data corresponding to each wind farm and the target wind measurement data of each wind measurement device obtained have the same data dimension.

[0099] Step 103: For any point of interest in the wind resource map, at least one first wind farm corresponding to the point of interest is determined according to the first coordinate data corresponding to each wind farm, and at least one first wind measurement device corresponding to the point of interest is determined according to the second coordinate data of each wind measurement device.

[0100] Among them, the wind resource map is an existing wind resource map, and this wind resource map can be obtained through meteorological modeling.

[0101] Among them, the point of interest refers to POI (Point of Interest), generally referring to the point data in the Internet electronic map, and generally being vector data.

[0102] In this embodiment, there are multiple points of interest in a wind resource map. Among them, one point of interest corresponds to at least one first wind farm, that is, one point of interest corresponds to one or more first wind farms, and one point of interest corresponds to at least one first wind measurement device, that is, one point of interest corresponds to one or more first wind measurement devices. Optionally, the distance between any point of interest and at least one first wind farm corresponding to this point of interest is not greater than a first preset distance, and the distance between any point of interest and at least one first wind measurement device corresponding to this point of interest is not greater than a second preset distance. Among them, the embodiments of the present invention do not limit the setting of the first preset distance and the second preset distance. Optionally, the first preset distance and the second preset distance can be set according to manual experience. For example, the first preset distance and the second preset distance can be set to the same value, such as set to 10 kilometers, or the first preset distance and the second preset distance can be set to different values, such as setting the first preset distance to 10 kilometers and the second preset distance to 8 kilometers, etc. Or, the first preset distance and the second preset distance can also be dynamically adjusted according to actual application requirements, and the embodiments of the present invention do not limit this.

[0103] As a possible implementation manner, for any point of interest in the existing wind resource map, based on the obtained first coordinate data corresponding to each wind farm, at least one first wind farm corresponding to this point of interest can be determined from each wind farm, where the distance between this point of interest and any one of the first wind farms corresponding to this point of interest is not greater than the first preset distance. Similarly, based on the obtained second coordinate data of each wind measurement device, at least one first wind measurement device corresponding to this point of interest can also be determined from each wind measurement device, where the distance between this point of interest and any one of the first wind measurement devices corresponding to this point of interest is not greater than the second preset distance.

[0104] Step 104, update the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each point of interest.

[0105] Since each point of interest corresponds to one or more first wind farms and also corresponds to one or more first wind measurement devices, each point of interest thus corresponds to the target operation data of one or more first wind farms and the target wind measurement data of one or more first wind measurement devices. Therefore, when updating the wind resource map based on the target operation data and target wind measurement data corresponding to each point of interest, in addition to the target operation data and target wind measurement data corresponding to each point of interest, the first coordinate data corresponding to at least one first wind farm corresponding to each point of interest and the second coordinate data of at least one first wind measurement device corresponding to each point of interest are also required. Using the first coordinate data corresponding to at least one first wind farm corresponding to each point of interest and the second coordinate data of at least one first wind measurement device corresponding to each point of interest, weights are determined, and thus the wind resource map is updated according to the target operation data, target wind measurement data, and weights corresponding to each point of interest.

[0106] As a possible implementation, the wind resource map can be updated at a preset update interval according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each point of interest. Among them, the present invention embodiment does not limit the setting of the preset update interval. Optionally, the preset update interval can be set according to manual experience. For example, the preset update interval can be set to 10 minutes, or it can be set to 1 hour, etc. Or, the preset update interval can also be dynamically adjusted according to actual application requirements, and the present invention embodiment does not limit this.

[0107] Since the operation data of the wind farm and the wind measurement data of the wind measurement device can be collected in real time, the generated wind resource map can be updated regularly, which has strong timeliness.

[0108] The method for updating the wind resource map provided by the embodiment of the present invention processes the operation data corresponding to at least one wind farm and the first coordinate data, as well as the wind measurement data of at least one anemometer and the second coordinate data, to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each anemometer. Among them, the target operation data and the target wind measurement data have the same data dimension. Thus, for any point of interest in the wind resource map, at least one first wind farm corresponding to the point of interest is determined according to the first coordinate data corresponding to each wind farm, and at least one first anemometer corresponding to the point of interest is determined according to the second coordinate data of each anemometer. Furthermore, the wind resource map is updated according to the target operation data and the first coordinate data of at least one first wind farm corresponding to each point of interest, and the target wind measurement data and the second coordinate data of at least one first anemometer corresponding to each point of interest. Therefore, this method can update the generated wind resource map based on the operation data of the wind farm and the wind measurement data of the anemometer, making up for the problem of the lack of anemometers or poor quality of wind measurement data in some areas, and improving the accuracy of the existing wind resource map.

[0109] To clearly illustrate the previous embodiment, this embodiment provides another method for updating the wind resource map. Figure 2 It is a schematic flowchart of another method for updating the wind resource map provided by the embodiment of the present invention. It should be noted that in the embodiment of the present invention, the wind resource map includes the wind resource absolute value map.

[0110] As Figure 2 shown, the method for updating the wind resource map may include the following steps:

[0111] Step 201, obtain the operation data corresponding to at least one wind farm and the first coordinate data, as well as the wind measurement data of at least one anemometer and the second coordinate data.

[0112] Step 202, process the operation data corresponding to each wind farm and the wind measurement data of each anemometer to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each anemometer.

[0113] Step 203, for any point of interest in the wind resource map, determine at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each wind farm, and determine at least one first anemometer corresponding to the point of interest according to the second coordinate data of each anemometer.

[0114] It should be noted that the execution process of steps 201-203 can specifically refer to steps 101-103 in the previous embodiment, with the same principle, and will not be elaborated here.

[0115] Step 204: For any point of interest, determine the first weights corresponding to each first wind farm according to the first coordinate data of at least one first wind farm corresponding to the point of interest, and determine the second weights corresponding to each first anemometry device according to the second coordinate data of at least one first anemometry device corresponding to the point of interest.

[0116] As a possible implementation, for any point of interest, the first distance between each first wind farm and the point of interest can be determined according to the first coordinate data of at least one first wind farm corresponding to the point of interest, and then the first weights corresponding to each first wind farm can be determined based on the first distance between each first wind farm and the point of interest. Optionally, the first weights corresponding to each first wind farm and the first distance can be in an inverse square relationship.

[0117] Similarly, for any point of interest, the second distance between each first anemometry device and the point of interest can be determined according to the second coordinate data of at least one first anemometry device corresponding to the point of interest, and then the second weights corresponding to each first anemometry device can be determined based on the second distance between each first anemometry device and the point of interest. Optionally, the second weights corresponding to each first anemometry device and the second distance can also be in an inverse square relationship.

[0118] Step 205: Determine the target data of the point of interest according to the target operation data and the first weights corresponding to each first wind farm, and the target anemometry data and the second weights corresponding to each first anemometry device.

[0119] Each first wind farm is at least one first wind farm corresponding to any point of interest, and each first anemometry device is also at least one first anemometry device corresponding to any point of interest. Thus, the target data of any point of interest can be determined based on the target operation data and the first weights corresponding to each first wind farm, and the target anemometry data and the second weights corresponding to each first anemometry device.

[0120] As a possible implementation, for any first wind farm corresponding to any point of interest, multiply the target operation data corresponding to the first wind farm by the first weight corresponding to the first wind farm to obtain the first data corresponding to the first wind farm, and for any first anemometry device corresponding to any point of interest, multiply the target anemometry data of the first anemometry device by the second weight corresponding to the first anemometry device to obtain the second data corresponding to the first anemometry device. Thus, add the first data corresponding to each first wind farm corresponding to any point of interest to obtain the first target data corresponding to any point of interest, and add the second data corresponding to each first anemometry device corresponding to any point of interest to obtain the second target data corresponding to any point of interest. Furthermore, perform weighted summation on the first target data corresponding to any point of interest and the second target data corresponding to any point of interest to determine the target data of any point of interest.

[0121] Step 206: Update the absolute wind resource map according to the target data of each point of interest.

[0122] In this embodiment, after obtaining the target data of each point of interest, the absolute wind resource map can be updated based on the obtained target data of each point of interest. For example, the data at the corresponding point of interest in the original absolute wind resource map can be replaced with the obtained target data of each point of interest.

[0123] As a possible implementation, the absolute wind resource map can be updated based on the obtained target data of each point of interest at a preset update interval. The present invention embodiment does not limit the setting of the preset update interval. Optionally, the preset update interval can be set according to manual experience. For example, the preset update interval can be set to 10 minutes, or it can be set to 1 hour, etc. Alternatively, the preset update interval can also be dynamically adjusted according to actual application requirements, and the present invention embodiment does not limit this.

[0124] Since the operation data of the wind farm and the wind measurement data of the wind measurement equipment can be collected in real time, the generated absolute wind resource map can be updated regularly, which has strong timeliness.

[0125] The method for updating the wind resource map provided by the present invention embodiment determines the first weight corresponding to each first wind farm according to the first coordinate data corresponding to at least one first wind farm corresponding to the point of interest, and determines the second weight corresponding to each first wind measurement device according to the second coordinate data of at least one first wind measurement device corresponding to the point of interest for any point of interest. Then, according to the target operation data and the first weight corresponding to each first wind farm, and the target wind measurement data and the second weight corresponding to each first wind measurement device, the target data of the point of interest is determined. Furthermore, the absolute wind resource map is updated according to the target data of each point of interest. Thus, it is possible to update the generated absolute wind resource map based on the operation data of the wind farm and the wind measurement data of the wind measurement equipment, making up for the problem of the lack of wind measurement equipment or poor quality of wind measurement data in some areas, and improving the accuracy of the existing absolute wind resource map.

[0126] The previous embodiment described how to update the wind resource map when the wind resource map includes the absolute wind resource map. Next, in combination with Figure 3 , the process of updating the wind resource map when the wind resource map includes the wind resource error map will be described.

[0127] Figure 3 It is a schematic flowchart of another method for updating the wind resource map provided by the present invention embodiment. It should be noted that in the present invention embodiment, the wind resource map includes the wind resource error map.

[0128] As Figure 3 shown, the method for updating the wind resource map may include the following steps:

[0129] Step 301: Obtain the operation data and first coordinate data corresponding to at least one wind farm, as well as the wind measurement data and second coordinate data of at least one wind measurement device.

[0130] Step 302: Process the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each wind measurement device.

[0131] Step 303: For any point of interest in the wind resource map, determine at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each wind farm, and determine at least one first wind measurement device corresponding to the point of interest according to the second coordinate data of each wind measurement device.

[0132] It should be noted that the execution process of steps 301-303 can specifically refer to steps 101-103 in the above embodiments. The principles are the same and will not be elaborated here.

[0133] Step 304: For any one of the first wind farms corresponding to any point of interest, determine the second wind measurement device closest to the first wind farm from at least one first wind measurement device corresponding to the point of interest according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first wind measurement device corresponding to the point of interest.

[0134] Wherein, one first wind farm corresponds to one second wind measurement device, and for any one of the first wind farms corresponding to any point of interest, the second wind measurement device corresponding to the first wind farm is the wind measurement device closest to the first wind farm among at least one first wind measurement device corresponding to the point of interest.

[0135] In this embodiment, one point of interest corresponds to one or more first wind farms. Thus, for any one of the first wind farms corresponding to any point of interest, the second wind measurement device closest to the first wind farm can be determined from at least one first wind measurement device corresponding to the point of interest according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first wind measurement device corresponding to the point of interest. Specifically, the first wind measurement device closest to the first wind farm among at least one first wind measurement device corresponding to the point of interest can be determined as the second wind measurement device. Thus, the second wind measurement devices closest to each first wind farm can be determined.

[0136] For example, assume there are N points of interest, where N1 points of interest correspond to 5 first wind farms and 7 first wind measurement devices. Thus, for any one of the first wind farms corresponding to N1 points of interest, based on the first coordinate data corresponding to the first wind farm and the second coordinate data of the 7 first wind measurement devices corresponding to N1 points of interest, the second wind measurement device closest to the first wind farm can be determined from these 7 first wind measurement devices. Assume that the wind measurement device closest to the first wind farm among these 7 first wind measurement devices is the first wind measurement device 3. Then, the first wind measurement device 3 can be determined as the second wind measurement device.

[0137] Step 305: Fit and perform error analysis on the target operation data corresponding to the first wind farm and the target wind measurement data of the second wind measurement device to obtain the fitting coefficient and relative error corresponding to the first wind farm.

[0138] Among them, the first wind farm is any one of the first wind farms corresponding to any point of interest, and one first wind farm corresponds to one second wind measurement device.

[0139] Among them, the second wind measurement device is the wind measurement device closest to the first wind farm determined from at least one first wind measurement device corresponding to any point of interest for any one of the first wind farms corresponding to any point of interest.

[0140] In this embodiment, for any one of the first wind farms corresponding to any point of interest, after determining the second wind measurement device closest to the first wind farm, the target operation data corresponding to the first wind farm and the target wind measurement data of the second wind measurement device can be fitted and error-analyzed to obtain the fitting coefficient and relative error corresponding to the first wind farm. Thus, the fitting coefficients and relative errors corresponding to each first wind farm can be obtained. Optionally, based on a preset fitting algorithm and a preset error analysis algorithm, the target operation data corresponding to the first wind farm and the target wind measurement data of the second wind measurement device can be fitted and error-analyzed to obtain the fitting coefficient and relative error corresponding to the first wind farm.

[0141] Since the target operation data corresponding to the first wind farm and the target wind measurement data of the second wind measurement device can be fitted and error-analyzed, it is possible to evaluate the errors and credibility of each point of interest in the wind resource map, improving the accuracy of the existing wind resource error map.

[0142] Step 306: For any point of interest, determine whether the fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet a preset condition to obtain a second wind farm whose at least one fitting coefficient corresponding to the point of interest meets the preset condition.

[0143] Among them, the embodiments of the present invention do not limit the setting of the preset conditions. Optionally, the preset conditions can be set according to manual experience. For example, the preset conditions can be set to whether it is greater than a certain value, etc. Or, the preset conditions can also be dynamically adjusted according to actual application requirements. The embodiments of the present invention do not limit this.

[0144] In this embodiment, for any point of interest, it can be determined whether the fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet the preset conditions, so that one or more first wind farms whose fitting coefficients meet the preset conditions can be determined as at least one second wind farm whose fitting coefficients meet the preset conditions corresponding to the point of interest. For example, for the example of N points of interest in step 304, assuming that among the 5 first wind farms corresponding to the N1 point of interest, only 3 first wind farms (First Wind Farm 1, First Wind Farm 2, and First Wind Farm 4) have fitting coefficients that meet the preset conditions, then First Wind Farm 1, First Wind Farm 2, and First Wind Farm 4 are the at least one second wind farm whose fitting coefficients meet the preset conditions corresponding to the N1 point of interest.

[0145] Step 307: Determine the relative error corresponding to the point of interest according to the relative errors corresponding to each second wind farm and the first coordinate data corresponding to each second wind farm.

[0146] Among them, each second wind farm is a second wind farm whose at least one fitting coefficient corresponding to any point of interest meets the preset conditions, so that the relative error corresponding to any point of interest can be determined based on the relative errors corresponding to each second wind farm and the first coordinate data corresponding to each second wind farm.

[0147] As a possible implementation manner, for at least one second wind farm whose fitting coefficients corresponding to any point of interest meet the preset conditions, the third weight corresponding to each second wind farm can be determined according to the first coordinate data corresponding to each second wind farm. Thus, for any one second wind farm, the relative error corresponding to the second wind farm is multiplied by the third weight corresponding to the second wind farm to obtain the weighted error corresponding to the second wind farm. Furthermore, the weighted errors corresponding to each second wind farm are summed to obtain the relative error corresponding to the point of interest. Among them, the implementation manner of determining the third weight corresponding to each second wind farm according to the first coordinate data corresponding to each second wind farm can be: determining the distance between each second wind farm and the point of interest according to the first coordinate data corresponding to each second wind farm, and then determining the third weight corresponding to each second wind farm based on the third distance between each second wind farm and the point of interest. Optionally, the third weight corresponding to each second wind farm and the third distance can be in an inverse square relationship.

[0148] Step 308: Update the wind resource error map according to the relative errors corresponding to each point of interest.

[0149] In this embodiment, after obtaining the relative errors corresponding to each point of interest, the wind resource error map can be updated based on the obtained relative errors corresponding to each point of interest. For example, the data at the corresponding point of interest in the original wind resource error map can be replaced with the obtained relative errors corresponding to each point of interest.

[0150] As a possible implementation, the wind resource error map can be updated based on the obtained relative errors corresponding to each point of interest at a preset update interval. The present invention embodiment does not limit the setting of the preset update interval. Optionally, the preset update interval can be set according to manual experience. For example, the preset update interval can be set to 10 minutes, or can be set to 1 hour, and so on. Alternatively, the preset update interval can also be dynamically adjusted according to actual application requirements, and the present invention embodiment does not limit this.

[0151] Since the operation data of the wind farm and the wind measurement data of the wind measurement equipment can be collected in real time, the generated wind resource error map can be updated regularly, which has strong timeliness.

[0152] The method for updating the wind resource map provided by the embodiments of the present invention, for any first wind farm corresponding to any point of interest, determines the second wind measurement equipment closest to the first wind farm from at least one first wind measurement equipment corresponding to the point of interest according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first wind measurement equipment corresponding to the point of interest, so as to perform fitting and error analysis on the first wind farm and the second wind measurement equipment to obtain the fitting coefficient and relative error corresponding to the first wind farm. Thus, for any point of interest, it is judged whether the fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet the preset conditions, so as to obtain the second wind farms whose fitting coefficients corresponding to at least one point of interest meet the preset conditions, and determine the relative error corresponding to the point of interest according to the relative errors corresponding to each second wind farm and the first coordinate data corresponding to each second wind farm. Furthermore, the wind resource error map is updated according to the relative errors corresponding to each point of interest. Thereby, it can be realized to update the generated wind resource error map based on the operation data of the wind farm and the wind measurement data of the wind measurement equipment, make up for the problem of the lack of wind measurement equipment or poor quality of wind measurement data in some areas, and improve the accuracy of the existing wind resource error map.

[0153] To implement the above embodiment, the present invention also proposes a wind resource map update system.

[0154] Figure 4 It is a schematic structural diagram of a wind resource map update system provided by an embodiment of the present invention.

[0155] As Figure 4As shown in the figure, the update system of the wind resource map includes: a data acquisition module 401, a data preprocessing module 402, a data standardization module 403, a data analysis module 404, and a map update module 405;

[0156] Among them, the data acquisition module 401 is used to acquire the operation data and the first coordinate data corresponding to at least one wind farm, as well as the wind measurement data and the second coordinate data of at least one anemometer;

[0157] The data preprocessing module 402 is used to preprocess the operation data corresponding to each wind farm and the wind measurement data of each anemometer to obtain the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each anemometer; among them, the preprocessing includes at least one of screening, cleaning, outlier processing, and interpolation;

[0158] The data standardization module 403 is used to standardize the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each anemometer to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each anemometer;

[0159] The data analysis module 404 is used to determine at least one first wind farm corresponding to an interest point according to the first coordinate data corresponding to each wind farm for any interest point in the wind resource map, and to determine at least one first anemometer corresponding to the interest point according to the second coordinate data of each anemometer;

[0160] The map update module 405 is used to update the wind resource map according to the target operation data and the first coordinate data corresponding to at least one first wind farm corresponding to each interest point, and the target wind measurement data and the second coordinate data of at least one first anemometer corresponding to each interest point.

[0161] As an example, the data acquisition module 401 can acquire the operation data corresponding to at least one wind farm from the central computer of the wind farm SCADA system. The way for the central computer of the wind farm SCADA system to acquire the operation data corresponding to at least one wind farm is: receive the operation data of all operating wind turbines in any wind farm sent by the remote terminal unit, that is, receive the wind speed, wind direction, temperature, fan operation status, and fan fault status information of all operating wind turbines in any wind farm, and then for any wind farm, splice the operation data of all operating wind turbines in the wind farm to obtain the operation data corresponding to the wind farm. At the same time, each anemometer can transmit the wind measurement data and the second coordinate data to the data acquisition module 401 so that the data acquisition module 401 can acquire the wind measurement data and the second coordinate data of at least one anemometer.

[0162] As an example, the data preprocessing module 402 may include an operation data preprocessing module and a wind measurement data preprocessing module, and the operation data preprocessing module and the wind measurement data preprocessing module are independent of each other. Among them, the operation data preprocessing module is used to check the validity and rationality of the operation data; the wind measurement data preprocessing module is used to remove invalid data from the original wind measurement tower data. Optionally, the data preprocessing module 402 may first screen or clean the unreasonable data and invalid data in the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device, and then interpolate and fill the missing values in the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device after screening or cleaning, so as to obtain the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device.

[0163] As an example, the data standardization module 403 is used to convert the preprocessed operation data and the preprocessed wind measurement data into homogenized data with the same data dimension, and by correcting the obtained homogenized data for the representative year, the data values are unified to the multi-year average to obtain the annual average time series data, that is, the target operation data and the target wind measurement data.

[0164] As an example, the map update module 405 includes an absolute value map update module and an error map update module, and the absolute value map update module and the error map update module are independent of each other. Among them, the absolute value map update module is used to update the wind resource absolute value map; the error map update module is used to update the wind resource error map. Optionally, the absolute value map update module can determine the first weight corresponding to each first wind farm according to the first coordinate data corresponding to at least one first wind farm corresponding to any point of interest, and determine the second weight corresponding to each first wind measurement device according to the second coordinate data of at least one first wind measurement device corresponding to the point of interest, so as to determine the target data of the point of interest according to the target operation data and the first weight corresponding to each first wind farm, and the target wind measurement data and the second weight corresponding to each first wind measurement device, and then update the wind resource absolute value map according to the target data of each point of interest. The error map update module can determine the second wind measurement device closest to the first wind farm from at least one first wind measurement device corresponding to the point of interest according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first wind measurement device corresponding to the point of interest for any first wind farm corresponding to any point of interest, so as to perform fitting and error analysis on the first wind farm and the second wind measurement device to obtain the fitting coefficient and relative error corresponding to the first wind farm, and then judge whether the fitting coefficient corresponding to at least one first wind farm corresponding to the point of interest meets the preset conditions for any point of interest, so as to obtain the second wind farm whose fitting coefficients corresponding to at least one point of interest meet the preset conditions, and determine the relative error corresponding to the point of interest according to the relative error corresponding to each second wind farm and the first coordinate data corresponding to each second wind farm, and further update the wind resource error map according to the relative error corresponding to each point of interest.

[0165] In summary, since the operation data of the wind farm and the wind measurement data of the wind measurement device can be collected in real time, the generated wind resource map can be updated regularly, which has strong timeliness. At the same time, it can update the generated wind resource error map based on the operation data of the wind farm and the wind measurement data of the wind measurement device, make up for the problem of missing wind measurement devices or poor quality of wind measurement data in some areas, and improve the accuracy of the existing wind resource error map.

[0166] To implement the above embodiments, the present invention also proposes an update device for a wind resource map.

[0167] Figure 5 It is a schematic structural diagram of an update device for a wind resource map provided by an embodiment of the present invention.

[0168] As Figure 5 shown, the update device for the wind resource map includes: an acquisition module 501, a processing module 502, a determination module 503, and an update module 504.

[0169] An acquisition module 501 is configured to acquire operation data and first coordinate data corresponding to at least one wind farm, as well as wind measurement data and second coordinate data of at least one wind measurement device; a processing module 502 is configured to process the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device to obtain target operation data corresponding to each wind farm and target wind measurement data of each wind measurement device; wherein, the target operation data and the target wind measurement data have the same data dimension; a determination module 503 is configured to, for any point of interest in the wind resource map, determine at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each wind farm, and determine at least one first wind measurement device corresponding to the point of interest according to the second coordinate data of each wind measurement device; an update module 504 is configured to update the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each point of interest.

[0170] According to an embodiment of the present invention, the distance between any point of interest and at least one first wind farm corresponding to the point of interest is not greater than a first preset distance, and the distance between any point of interest and at least one first wind measurement device corresponding to the point of interest is not greater than a second preset distance.

[0171] According to an embodiment of the present invention, the wind resource map includes a wind resource absolute value map. When the update module 504 updates the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each point of interest, it includes:

[0172] A first determination unit is configured to, for any point of interest, determine a first weight corresponding to each first wind farm according to the first coordinate data corresponding to at least one first wind farm corresponding to the point of interest, and determine a second weight corresponding to each first wind measurement device according to the second coordinate data of at least one first wind measurement device corresponding to the point of interest;

[0173] A second determination unit is configured to determine the target data of the point of interest according to the target operation data and first weight corresponding to each first wind farm, and the target wind measurement data and second weight of each first wind measurement device;

[0174] A first update unit is configured to update the wind resource absolute value map according to the target data of each point of interest.

[0175] According to an embodiment of the present invention, when the third determination unit determines the target data of the point of interest according to the target operation data and first weight corresponding to each first wind farm, and the target wind measurement data and second weight of each first wind measurement device, it includes:

[0176] For any first wind farm, multiply the target operation data corresponding to the first wind farm by the first weight corresponding to the first wind farm to obtain the first data corresponding to the first wind farm;

[0177] For any first anemometry device, multiply the target anemometry data of the first anemometry device by the second weight corresponding to the first anemometry device to obtain the second data corresponding to the first anemometry device;

[0178] Add up the first data corresponding to each first wind farm to obtain the first target data, and add up the second data corresponding to each first anemometry device to obtain the second target data;

[0179] Perform weighted summation on the first target data and the second target data to determine the target data of the point of interest.

[0180] According to an embodiment of the present invention, the wind resource map includes a wind resource error map. When the updating module 504 updates the wind resource map according to the target operation data and the first coordinate data corresponding to at least one first wind farm corresponding to each point of interest, and the target anemometry data and the second coordinate data corresponding to at least one first anemometry device corresponding to each point of interest, it includes:

[0181] The third determination unit is configured to, for any one of the first wind farms corresponding to any point of interest, determine the second anemometry device closest to the first wind farm from at least one first anemometry device corresponding to the point of interest according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first anemometry device corresponding to the point of interest;

[0182] The processing unit is configured to perform fitting and error analysis on the target operation data corresponding to the first wind farm and the target anemometry data of the second anemometry device to obtain the fitting coefficient and the relative error corresponding to the first wind farm;

[0183] The judgment unit is configured to, for any point of interest, judge whether the fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet a preset condition to obtain a second wind farm whose fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet the preset condition;

[0184] The fourth determination unit is configured to determine the relative error corresponding to the point of interest according to the relative errors corresponding to each second wind farm and the first coordinate data corresponding to each second wind farm;

[0185] The second updating unit is configured to update the wind resource error map according to the relative errors corresponding to each point of interest.

[0186] According to an embodiment of the present invention, when the fourth determination unit is used to determine the relative error corresponding to the point of interest according to the relative error corresponding to each second wind farm and the first coordinate data corresponding to each second wind farm, it includes:

[0187] Determine the third weight corresponding to each second wind farm according to the first coordinate data corresponding to each second wind farm;

[0188] For any second wind farm, multiply the relative error corresponding to the second wind farm by the third weight corresponding to the second wind farm to obtain the weighted error corresponding to the second wind farm;

[0189] Sum the weighted errors corresponding to each second wind farm to obtain the relative error corresponding to the point of interest.

[0190] According to an embodiment of the present invention, when the processing module 502 is used to process the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each wind measurement device, it includes:

[0191] The preprocessing unit is used to preprocess the operation data corresponding to each wind farm and the wind measurement data of each wind measurement device to obtain the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device; wherein, the preprocessing includes at least one of screening, cleaning, outlier processing, and interpolation;

[0192] The standardization unit is used to standardize the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each wind measurement device.

[0193] According to an embodiment of the present invention, when the standardization unit is used to standardize the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each wind measurement device, it includes:

[0194] Unify the data formats of the preprocessed operation data corresponding to each wind farm and the preprocessed wind measurement data of each wind measurement device to obtain the target operation data corresponding to each wind farm and the target wind measurement data of each wind measurement device.

[0195] It should be noted that the foregoing explanation of the embodiment of the method for updating the wind resource map is also applicable to the wind resource map updating device of this embodiment, and will not be elaborated here.

[0196] To implement the above embodiments, the present invention also provides an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method for updating the wind resource map according to any one of the above embodiments of the present invention.

[0197] To implement the above embodiments, the present invention also provides a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to execute the method for updating the wind resource map according to any one of the above embodiments of the present invention.

[0198] To implement the above embodiments, the present invention also provides a computer program product, including a computer program, which when executed by a processor, implements the method for updating the wind resource map according to any one of the above embodiments of the present invention.

[0199] Figure 6 It is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

[0200] It should be noted that Figure 6 the illustrated electronic device is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present invention.

[0201] As Figure 6 shown, the electronic device includes:

[0202] a memory 601, a processor 602, and a computer program stored on the memory 601 and executable on the processor 602.

[0203] When the processor 602 executes the program, it implements the method for updating the wind resource map provided in any one of the above embodiments.

[0204] Further, the electronic device further includes:

[0205] a communication interface 603 for communication between the memory 601 and the processor 602.

[0206] The memory 601 is used to store a computer program executable on the processor 602.

[0207] The memory 601 may include a high-speed RAM memory and may also include non-volatile memory, such as at least one disk memory.

[0208] The processor 602 is used to implement the method for updating the wind resource map described in any one of the above embodiments when executing the program.

[0209] If the memory 601, the processor 602, and the communication interface 603 are implemented independently, the communication interface 603, the memory 601, and the processor 602 can be interconnected via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 only a thick line is used in Figure 6 , but this does not mean that there is only one bus or one type of bus.

[0210] Optionally, in a specific implementation, if the memory 601, the processor 602, and the communication interface 603 are integrated on a single chip, the memory 601, the processor 602, and the communication interface 603 can communicate with each other via an internal interface.

[0211] The processor 602 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0212] In the description of this specification, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples.

[0213] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0214] Any process or method description represented in a flowchart or otherwise described herein can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a customized logic function or process. The scope of the preferred embodiments of the present invention includes additional implementations where functions may be executed not in the order shown or discussed, including in a substantially simultaneous manner according to the involved functions or in a reverse order, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0215] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing a logical function, and can be embodied specifically in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of the computer-readable medium include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other appropriate processing as necessary, and then stored in a computer memory.

[0216] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0217] Those of ordinary skill in the art can understand that all or part of the steps carried out in the method of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0218] In addition, in each of the embodiments of the present invention, the functional units can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the above integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0219] The above-mentioned storage medium can be a read-only memory, a magnetic disk or an optical disc, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for updating a wind resource atlas, characterized in that, Including the following steps: Obtaining operation data and first coordinate data corresponding to at least one wind farm, as well as wind measurement data and second coordinate data of at least one wind measurement device; Processing the operation data corresponding to each of the wind farms and the wind measurement data of each of the wind measurement devices to obtain target operation data corresponding to each of the wind farms and target wind measurement data of each of the wind measurement devices; wherein, the target operation data and the target wind measurement data have the same data dimension; For any point of interest in the wind resource map, determining at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each of the wind farms, and determining at least one first wind measurement device corresponding to the point of interest according to the second coordinate data of each of the wind measurement devices; Updating the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each of the points of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each of the points of interest; Wherein, the wind resource map includes a wind resource error map, and the updating of the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each of the points of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each of the points of interest includes: For any one of the first wind farms corresponding to any one of the points of interest, determining a second wind measurement device closest to the first wind farm from at least one first wind measurement device corresponding to the point of interest according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first wind measurement device corresponding to the point of interest; Performing fitting and error analysis on the target operation data corresponding to the first wind farm and the target wind measurement data of the second wind measurement device to obtain a fitting coefficient and a relative error corresponding to the first wind farm; For any one of the points of interest, determining whether the fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet a preset condition to obtain at least one second wind farm whose fitting coefficients corresponding to the point of interest meet the preset condition; Determining the relative error corresponding to the point of interest according to the relative errors corresponding to each of the second wind farms and the first coordinate data corresponding to each of the second wind farms; Updating the wind resource error map according to the relative errors corresponding to each of the points of interest; Wherein, the determining of the relative error corresponding to the point of interest according to the relative errors corresponding to each of the second wind farms and the first coordinate data corresponding to each of the second wind farms includes: Determining third weights corresponding to each of the second wind farms according to the first coordinate data corresponding to each of the second wind farms; For any one of the second wind farms, multiplying the relative error corresponding to the second wind farm by the third weight corresponding to the second wind farm to obtain a weighted error corresponding to the second wind farm; Summing up the weighted errors corresponding to each of the second wind farms to obtain the relative error corresponding to the point of interest.

2. The method according to claim 1, wherein The distance between any of the said points of interest and at least one first wind farm corresponding to the point of interest is not greater than a first preset distance, and the distance between any of the said points of interest and at least one first wind measurement device corresponding to the point of interest is not greater than a second preset distance.

3. The method according to claim 1, wherein The wind resource map includes an absolute wind resource map. The updating of the wind resource map according to the target operation data and first coordinate data of at least one first wind farm corresponding to each of the said points of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each of the said points of interest includes: For any of the said points of interest, determining a first weight corresponding to each of the first wind farms according to the first coordinate data of at least one first wind farm corresponding to the point of interest, and determining a second weight corresponding to each of the first wind measurement devices according to the second coordinate data of at least one first wind measurement device corresponding to the point of interest; Determining the target data of the point of interest according to the target operation data and first weight of each of the first wind farms, and the target wind measurement data and second weight of each of the first wind measurement devices; Updating the absolute wind resource map according to the target data of each of the points of interest.

4. The method according to claim 3, characterized in that, The determining the target data of the point of interest according to the target operation data and first weight of each of the first wind farms, and the target wind measurement data and second weight of each of the first wind measurement devices includes: For any of the first wind farms, multiplying the target operation data corresponding to the first wind farm by the first weight corresponding to the first wind farm to obtain a first data corresponding to the first wind farm; For any of the first wind measurement devices, multiplying the target wind measurement data of the first wind measurement device by the second weight corresponding to the first wind measurement device to obtain a second data corresponding to the first wind measurement device; Adding the first data corresponding to each of the first wind farms to obtain a first target data, and adding the second data corresponding to each of the first wind measurement devices to obtain a second target data; Performing weighted summation of the first target data and the second target data to determine the target data of the point of interest.

5. The method according to any one of claims 1-4, characterized in that, The processing of the operation data of each of the wind farms and the wind measurement data of each of the wind measurement devices to obtain the target operation data of each of the wind farms and the target wind measurement data of each of the wind measurement devices includes: Performing preprocessing on the operation data of each of the wind farms and the wind measurement data of each of the wind measurement devices to obtain the preprocessed operation data of each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices; wherein, the preprocessing includes at least one of screening, cleaning, outlier processing, and interpolation; Normalizing the preprocessed operation data of each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices to obtain the target operation data of each of the wind farms and the target wind measurement data of each of the wind measurement devices.

6. The method according to claim 5, characterized in that, The normalizing the preprocessed operation data of each of the wind farms and the preprocessed wind measurement data of each of the wind measurement devices to obtain the target operation data of each of the wind farms and the target wind measurement data of each of the wind measurement devices includes: Unify the data formats of the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the anemometers to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the anemometers.

7. An update system for a wind resource atlas, characterized in that, Including: A data acquisition module, a data preprocessing module, a data standardization module, a data analysis module, and a map update module; Among them, the data acquisition module is used to acquire the operation data and the first coordinate data corresponding to at least one wind farm, as well as the wind measurement data and the second coordinate data of at least one anemometer; The data preprocessing module is used to preprocess the operation data corresponding to each of the wind farms and the wind measurement data of each of the anemometers to obtain the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the anemometers; where the preprocessing includes at least one of screening, cleaning, outlier processing, and interpolation; The data standardization module is used to standardize the preprocessed operation data corresponding to each of the wind farms and the preprocessed wind measurement data of each of the anemometers to obtain the target operation data corresponding to each of the wind farms and the target wind measurement data of each of the anemometers; The data analysis module is used to, for any point of interest in the wind resource map, determine at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each of the wind farms, and determine at least one first anemometer corresponding to the point of interest according to the second coordinate data of each of the anemometers; The map update module is used to update the wind resource map according to the target operation data and the first coordinate data corresponding to at least one first wind farm corresponding to each of the points of interest, and the target wind measurement data and the second coordinate data of at least one first anemometer corresponding to each of the points of interest; Among them, the wind resource map includes a wind resource error map, and the map update module is further used to: For any one of the first wind farms corresponding to any one of the points of interest, determine the second anemometer closest to the first wind farm from at least one first anemometer corresponding to the point of interest according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first anemometer corresponding to the point of interest; Perform fitting and error analysis on the target operation data corresponding to the first wind farm and the target wind measurement data of the second anemometer to obtain the fitting coefficient and the relative error corresponding to the first wind farm; For any one of the points of interest, determine whether the fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet the preset conditions to obtain at least one second wind farm whose fitting coefficients corresponding to the point of interest meet the preset conditions; Determine the relative error corresponding to the point of interest according to the relative errors corresponding to each of the second wind farms and the first coordinate data corresponding to each of the second wind farms; Update the wind resource error map according to the relative errors corresponding to each of the points of interest; Among them, the map update module is further used to: Determine the third weights corresponding to each of the second wind farms according to the first coordinate data corresponding to each of the second wind farms; For any second wind farm, multiply the relative error corresponding to the second wind farm by the third weight corresponding to the second wind farm to obtain the weighted error corresponding to the second wind farm; Sum the weighted errors corresponding to each of the second wind farms to obtain the relative error corresponding to the point of interest.

8. An update device for a wind resource atlas, characterized in that, Including: An acquisition module, configured to acquire operation data and first coordinate data corresponding to at least one wind farm, as well as wind measurement data and second coordinate data of at least one wind measurement device; A processing module, configured to process the operation data corresponding to each of the wind farms and the wind measurement data of each of the wind measurement devices to obtain target operation data corresponding to each of the wind farms and target wind measurement data of each of the wind measurement devices; wherein, the target operation data and the target wind measurement data have the same data dimension; A determination module, configured to, for any point of interest in the wind resource map, determine at least one first wind farm corresponding to the point of interest according to the first coordinate data corresponding to each of the wind farms, and determine at least one first wind measurement device corresponding to the point of interest according to the second coordinate data of each of the wind measurement devices; An update module, configured to update the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each of the points of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each of the points of interest; Wherein, the wind resource map includes a wind resource error map. When the update module updates the wind resource map according to the target operation data and first coordinate data corresponding to at least one first wind farm corresponding to each of the points of interest, and the target wind measurement data and second coordinate data of at least one first wind measurement device corresponding to each of the points of interest, it includes: A third determination unit, configured to, for any first wind farm corresponding to any point of interest, determine a second wind measurement device closest to the first wind farm from at least one first wind measurement device corresponding to the point of interest according to the first coordinate data corresponding to the first wind farm and the second coordinate data of at least one first wind measurement device corresponding to the point of interest; A processing unit, configured to perform fitting and error analysis on the target operation data corresponding to the first wind farm and the target wind measurement data of the second wind measurement device to obtain a fitting coefficient and a relative error corresponding to the first wind farm; A determination unit, configured to, for any point of interest, determine whether the fitting coefficients corresponding to at least one first wind farm corresponding to the point of interest meet a preset condition to obtain at least one second wind farm whose fitting coefficients corresponding to the point of interest meet the preset condition; A fourth determination unit, configured to determine the relative error corresponding to the point of interest according to the relative errors corresponding to each of the second wind farms and the first coordinate data corresponding to each of the second wind farms; A second update unit, configured to update the wind resource error map according to the relative errors corresponding to each of the points of interest; Among them, when the fourth determination unit is used to determine the relative error corresponding to the point of interest according to the relative error corresponding to each of the second wind farms and the first coordinate data corresponding to each of the second wind farms, it includes: Determine the third weight corresponding to each of the second wind farms according to the first coordinate data corresponding to each of the second wind farms; For any one of the second wind farms, multiply the relative error corresponding to the second wind farm by the third weight corresponding to the second wind farm to obtain the weighted error corresponding to the second wind farm; Sum up the weighted errors corresponding to each of the second wind farms to obtain the relative error corresponding to the point of interest.

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