Wind energy evaluation system and method, storage medium, and electronic apparatus

Abstract

A wind energy evaluation system and method, a storage medium, and an electronic apparatus, relating to the field of image detection. The wind energy evaluation system comprises: a control module, used for issuing a control instruction to a processing module; the processing module, used for sending the control instruction to a fusion module; the fusion module, used for receiving multi-source data sent by a communication module, performing conversion processing on the multi-source data to obtain first data information, and sending the first data information to the processing module; the processing module, further used for processing the first data information and sending second data information to the fusion module; an adjustment module, used for adjusting working parameters of a detection device and a radar; a GIS module, used for constructing an environment map, and sending geographic information corresponding to the environment map to a computing model; the computing model, used for performing computational processing on the second data information and the geographic information to obtain wind energy resource evaluation information; and an output module, used for outputting the wind energy resource evaluation information to the processing module.

Description

Wind energy assessment systems and methods, storage media and electronic devices Technical Field

[0001] This application relates to the field of new energy technology, and more specifically, to a wind energy assessment system and method, a storage medium, and an electronic device. Background Technology

[0002] Wind energy is a clean and renewable resource. It refers to the kinetic energy generated by the uneven heating of the Earth's surface due to solar radiation, which causes uneven heating in the atmosphere and results in the horizontal movement of air. It is a form of solar energy conversion. Scientifically and accurately estimating my country's wind energy potential and its spatial distribution is a crucial foundational task for wind energy resource development.

[0003] Wind is a green and environmentally friendly new energy source with great potential; it is inexhaustible. For coastal islands, grassland pastoral areas, mountainous areas, and plateau regions that lack water, fuel, and have inconvenient transportation, utilizing wind power in accordance with local conditions is an important measure to achieve sustainable energy development. Offshore wind power is an important area of ​​renewable energy development, a vital force driving wind power technology progress and industrial upgrading, and an important measure to promote energy structure adjustment.

[0004] The wind resource assessment process includes data collection, processing, analysis, evaluation, and result presentation. Assessment methods include numerical simulation, statistical modeling, and field measurement. When conducting wind resource assessments, it is necessary to select appropriate assessment methods and processes based on the actual situation to ensure the accuracy and reliability of the assessment results. Simultaneously, economic, technical, and environmental factors must be considered to provide a scientific basis and support for the construction and operation of wind farms.

[0005] Related technologies utilize linear correlation and quadratic curves of adjacent high-wind-speed data to identify and pinpoint unreasonable data. While respecting the original data as much as possible, the wind measurement data is rationalized to assess wind energy resources at the wind measurement tower. However, this approach fails to effectively integrate various data, leading to data bias and inaccurate wind energy resource assessments. Technical issues

[0006] Currently, there is no effective solution to the problem that existing technologies cannot effectively integrate various data and information, resulting in biased data and inaccurate wind energy resource assessments.

[0007] Therefore, it is necessary to improve the relevant technology to overcome the aforementioned defects. Technical solutions

[0008] This application provides a wind energy assessment system and method, storage medium and electronic device to at least solve the problem that the prior art cannot effectively integrate various data information, resulting in biased data information and inaccurate wind energy resource assessment.

[0009] According to one aspect of the embodiments of this application, a wind energy assessment system is provided, comprising: a control module electrically connected to a processing module, configured to issue control commands to the processing module, wherein the control commands are used to control the wind energy assessment system to assess wind energy resources in a target area; the processing module electrically connected to a fusion module and an adjustment module, configured to send the control commands to the fusion module upon receiving the control commands; the fusion module electrically connected to a communication module and a calculation model, configured to receive multi-source data sent by the communication module upon receiving the control commands; perform conversion processing on the multi-source data to obtain first data information, and send the first data information to the processing module, wherein the multi-source data includes detection data from a detection device and satellite data. The system includes: radar data from the radar; a processing module for processing the first data information and sending the obtained second data information to the fusion module; an adjustment module connected to the detection device and the radar for adjusting the operating parameters of the detection device and the radar; a GIS module electrically connected to the calculation model for building an environmental map and sending the geographic information corresponding to the environmental map to the calculation model; a calculation model electrically connected to an output module for receiving the second data information and the geographic information sent by the fusion module, and performing calculations on the second data information and the geographic information to obtain wind energy resource assessment information; and an output module electrically connected to the processing module for outputting the wind energy resource assessment information to the processing module.

[0010] In an exemplary embodiment, the wind energy assessment system further includes a power supply module electrically connected to the control module for supplying power to the wind energy assessment system. The power supply module includes a power system, a step-down circuit, a rectifier circuit, a filter circuit, and a voltage regulator circuit. The step-down circuit reduces the high voltage of the power system, the rectifier circuit converts the AC voltage in the power system into DC voltage, the filter circuit filters out AC voltage from the DC voltage, and the voltage regulator circuit reduces fluctuations in the output voltage of the power system.

[0011] In an exemplary embodiment, the wind energy assessment system further includes an auxiliary module electrically connected to the control module, wherein the auxiliary module includes a display, a controller, a memory, an alarm, and an indicator light; the display is used to display data information, the controller is used to receive control commands from a first object, the alarm is used to sound an alarm when the data information is abnormal, the indicator light is used to indicate the operating status of the wind energy assessment system, and the memory is used to store the data information; wherein the data information includes at least the first data information and the second data information.

[0012] In an exemplary embodiment, the processing module includes: a data receiving unit electrically connected to the fusion module, configured to receive the first data information sent by the fusion module; a data conversion unit electrically connected to the data receiving unit, configured to perform analog-to-digital conversion on the first data information to obtain third data information; a data filtering unit electrically connected to the data conversion unit, configured to perform filtering processing on the third data information to obtain fourth data information; and a data gain unit electrically connected to the data filtering unit, configured to perform amplification processing on the fourth data information to obtain second data information.

[0013] In an exemplary embodiment, the fusion module includes: a data integration unit for integrating and processing the multi-source data to obtain fifth data information; a data evaluation unit electrically connected to the data integration unit for evaluating the fifth data information to determine whether the fifth data information meets preset conditions; and a data analysis unit electrically connected to the data evaluation unit for performing data mining on the fifth data information to obtain the first data information when the evaluation result output by the data evaluation unit indicates that the fifth data information meets the preset conditions.

[0014] In an exemplary embodiment, the data integration unit includes: a data selection subunit, configured to select data to be integrated from the multi-source data; a data preprocessing subunit, electrically connected to the data selection subunit, configured to preprocess the data to be integrated to obtain preprocessed data to be integrated; a data cleaning subunit, electrically connected to the data preprocessing subunit, configured to remove dirty data present in the preprocessed data to be integrated to obtain cleaned data to be integrated; and a data detection subunit, electrically connected to the data cleaning subunit, configured to detect whether there is data loss in the cleaned data to be integrated, and, if data loss is detected, to supplement the cleaned data to be integrated to obtain the fifth data information.

[0015] According to another aspect of the embodiments of this application, a wind energy assessment method is also provided, comprising: upon receiving the control command, performing conversion processing on the multi-source data through the fusion module to obtain first data information, and sending the first data information to the processing module, wherein the multi-source data includes detection data from detection equipment, satellite data, and radar data from radar; processing the first data information through the processing module to obtain second data information; constructing an environmental map through the GIS module and sending the geographic information corresponding to the environmental map to the calculation model; performing calculation processing on the second data information and the geographic information through the calculation model to obtain the wind energy resource assessment information; and outputting the wind energy resource assessment information to the processing module through the output module.

[0016] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, wherein a computer program is stored in the computer-readable storage medium, and the computer program is configured to execute the above-described wind energy assessment system when it is run.

[0017] According to another aspect of the embodiments of this application, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the wind energy assessment system through the computer program.

[0018] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements the steps of the methods described in various embodiments of this application. Beneficial effects

[0019] This application utilizes a system that transforms and processes collected detection data, satellite data, and radar data. The data is then processed using a computational model and a GIS module, and combined with GIS geographic information to enhance the integration of geographic information and achieve accurate wind resource assessment. Furthermore, an output module outputs the assessed wind energy information (i.e., wind energy resource assessment information), and an adjustment module allows for the rotation or movement of the detection equipment and radar, enabling angle or position adjustment and control. This wind energy assessment system addresses the problem in existing technologies where the inability to effectively integrate various data information leads to data bias and inaccurate wind energy resource assessments. Attached Figure Description

[0020] Figure 1 is a hardware structure block diagram of a computer terminal for a wind energy assessment method according to an embodiment of this application;

[0021] Figure 2 is a structural block diagram (a) of a wind energy assessment system according to an embodiment of this application;

[0022] Figure 3 is a structural block diagram (II) of a wind energy assessment system according to an embodiment of this application;

[0023] Figure 4 is a structural block diagram of a power supply module according to an embodiment of this application;

[0024] Figure 5 is a structural block diagram (III) of a wind energy assessment system according to an embodiment of this application;

[0025] Figure 6 is a structural block diagram of an auxiliary module according to an embodiment of this application;

[0026] Figure 7 is a structural block diagram of a processing module according to an embodiment of this application;

[0027] Figure 8 is a structural block diagram of a fusion module according to an embodiment of this application;

[0028] Figure 9 is a structural block diagram of a data integration unit according to an embodiment of this application;

[0029] Figure 10 is a flowchart of a wind energy assessment method according to an embodiment of this application. Embodiments of the present invention

[0030] The methods and embodiments provided in this application can be executed on a computer terminal or similar computing device. Taking a computer terminal as an example, Figure 1 is a hardware structure block diagram of a computer terminal for a wind energy assessment system according to an embodiment of this application. As shown in Figure 1, the computer terminal may include one or more (only one is shown in Figure 1) processors 102 (processors 102 may include, but are not limited to, processing devices such as microprocessors (MCUs) or field-programmable gate arrays (FPGAs)) and a memory 104 for storing data. The computer terminal may also include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that the structure shown in Figure 1 is only illustrative and does not limit the structure of the computer terminal. For example, the computer terminal may include more or fewer components than shown in Figure 1, or have a different configuration than shown in Figure 1.

[0031] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the wind energy assessment system in this embodiment. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, thus implementing the methods described above. The memory 104 may include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to a computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0032] The computer terminal uses a wireless network provided by a communication provider. In one example, transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, transmission device 106 can be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0033] This embodiment provides a wind energy assessment system 200. Figure 2 is a structural block diagram of a wind energy assessment system according to an embodiment of this application. As shown in Figure 2, the system includes:

[0034] The control module 201 is electrically connected to the processing module 202 and is used to send control commands to the processing module 202, wherein the control commands are used to control the wind energy assessment system 200 to conduct wind energy resource assessment of the target area.

[0035] The processing module 202 is electrically connected to the fusion module 203 and the adjustment module 204, and is used to send the control command to the fusion module 203 when the control command is received.

[0036] The fusion module 203 is electrically connected to the communication module 205 and the computing model 206. It is used to receive multi-source data sent by the communication module 205 when the control command is received; to perform conversion processing on the multi-source data to obtain first data information; and to send the first data information to the processing module 202. The multi-source data includes detection data from the detection device 207, satellite data, and radar data from the radar 208.

[0037] It should be noted that, in order to achieve the collection and processing of various data information and facilitate the acquisition of various types of data, in this embodiment, preferably, the satellite data consists of environmental data and airflow data obtained through onboard sensors, which mainly include microwave scatterometers, microwave radiometers, microwave altimeters, and synthetic aperture radar; while the detection data is collected through various data sensors, including sensors for collecting wind power density, wind energy frequency distribution, wind direction and wind energy azimuth distribution, wind shear, and turbulence intensity. The sensors are placed in three layers, with a bottom height of two meters, a middle height of fifty meters, and a top height of one hundred and sixty meters; the radar data is wind resource data obtained through detection by various radars.

[0038] The processing module 202 is further configured to process the first data information and send the obtained second data information to the fusion module 203;

[0039] The adjustment module 204 is connected to the detection device 207 and the radar 208, and is used to adjust the operating parameters of the detection device 207 and the radar 208;

[0040] In order to achieve position and angle adjustment of various data sensors and radars and to collect data information, in this embodiment, preferably, the adjustment module includes a driver and a power device. The driver is used to start the power device, and the power device is used to connect various data sensors and radars to facilitate the adjustment of the angle and position of various data sensors (i.e., the above-mentioned detection devices) and radars, so as to facilitate the detection of various data information of wind resources.

[0041] The GIS module 209 is electrically connected to the calculation model 206 and is used to build an environmental map and send the geographic information corresponding to the environmental map to the calculation model 206.

[0042] The calculation model 206 is electrically connected to the output module 210 and is used to receive the second data information and the geographical information sent by the fusion module 203, and to perform calculation processing on the second data information and the geographical information to obtain wind energy resource assessment information.

[0043] In order to perform calculations on the data information and obtain wind resource information, in this embodiment, preferably, the calculation module performs calculations on the wind resource information through the data information of the fusion module (i.e., the second data information mentioned above), and combines the GIS module to build an intuitive data resource. The algorithm in the calculation module adopts the convolutional neural network algorithm.

[0044] The calculation formula for the convolutional neural network algorithm is as follows:

[0045] Convolutional layers process data through units of convolutional kernels, extracting features and enhancing the analytical capabilities of sample data through different types of activation functions. The calculation process of a convolutional layer is represented as follows:

[0046]

[0047] In the formula, H i H represents the features of the i-th layer of the CNN, i.e., the data features of the i-th layer; i-1 The features of the previous layer, i.e., the data features extracted by the previous convolutional layer; W i Represents the weight vector of the i-th layer; ⊗ represents the convolution operation between the two, extracting local features, and the offset vector b of the i-th layer. i The summation improves the fitting ability of neurons, and the features of the i-th layer of the CNN are then calculated using the activation function f(x).

[0048] During the forward propagation process, the input data is processed layer by layer from the first layer to calculate the objective function. The output of each layer becomes the input of the next layer. Assuming there are L layers in the network, the forward propagation process can be represented as follows:

[0049] ,

[0050] In the formula, These represent the training parameters of each network layer during training epoch t, ​​namely the weights and biases; f1, f2, ..., f L-1 f L This represents the computation and processing of each network layer. After the forward propagation is completed, the model will guide the parameter update of each network layer through backpropagation. Backpropagation is in the opposite direction to forward propagation. By calculating the loss function, the distance between the predicted value and the label value is continuously approximated.

[0051] The purpose of backpropagation is to find the optimal parameters of the model. The model updates the trainable parameters, weights W and offsets b of each J layer of the CNN layer by layer through gradient descent, and adjusts the backpropagation speed using the learning rate parameter η.

[0052] .

[0053] The output module 210 is electrically connected to the processing module 202 and is used to output the wind energy resource assessment information to the processing module 202.

[0054] The system described above processes and converts the collected detection data, satellite data, and radar data. Then, it uses a computational model and a GIS module to perform calculations on the data and integrates GIS geographic information to improve the accuracy of wind resource assessment. Furthermore, the output module outputs the assessed wind energy information (i.e., wind energy resource assessment information), and the adjustment module allows for the rotation or movement of the detection equipment and radar, enabling angle or position adjustment and control. This wind energy assessment system solves the problem in existing technologies where the inability to effectively integrate various data leads to data bias and inaccurate wind energy resource assessments.

[0055] In an exemplary embodiment, the wind energy assessment system 200 further includes a power supply module 211, as shown in FIG3. The power supply module 211 is electrically connected to the control module 202 and is used to supply power to the wind energy assessment system 200. The structure of the power supply module 211 is shown in FIG4, including a power system 41, a step-down circuit 42, a rectifier circuit 43, a filter circuit 44, and a voltage regulator circuit 45. The step-down circuit 42 is used to reduce the high voltage of the power system 41, the rectifier circuit 43 is used to convert the AC voltage in the power system 41 into DC voltage, the filter circuit 44 is used to filter out the AC voltage in the DC voltage, and the voltage regulator circuit 45 is used to reduce the fluctuation of the output voltage of the power system 41.

[0056] In order to power the system and maintain its operational stability, in this embodiment, preferably, the control module is electrically connected to a power supply module. The power supply module is used to supply power to the system. The power supply module includes a power supply system, a step-down circuit, a rectifier circuit, a filter circuit, and a voltage regulator circuit. The step-down circuit is used to reduce the high voltage of the power supply system, the rectifier circuit is used to convert AC power into DC voltage, the filter circuit is used to filter out AC voltage from the DC voltage, and the voltage regulator circuit is used to stabilize the fluctuation of the output voltage.

[0057] In an exemplary embodiment, the wind energy assessment system 200 further includes an auxiliary module 212, as shown in FIG5. The auxiliary module 212 is electrically connected to the control module 202. The structure of the auxiliary module 212 is shown in FIG6, including a display 61, a controller 62, a memory 63, an alarm 64, and an indicator light 65. The display 61 is used to display data information, the controller 62 is used to receive control commands from the first object, the alarm 64 is used to sound an alarm when the data information is abnormal, the indicator light 65 is used to indicate the operating status of the wind energy assessment system, and the memory 63 is used to store the data information. The data information includes at least the first data information and the second data information.

[0058] To facilitate system operation and improve ease of use, in this embodiment, preferably, the control module is electrically connected to an auxiliary module. The auxiliary module includes a display, a controller, a memory, an alarm, and indicator lights. The display shows various data information throughout the wind energy assessment process, including but not limited to the aforementioned first and second data information. The controller includes a mouse and a keyboard for user control and adjustment. The alarm provides warnings in case of abnormal data. The indicator lights indicate the system's operating status. The memory stores the data information.

[0059] In an exemplary embodiment, the structure of the processing module 202 is shown in FIG7, including: a data receiving unit 71 electrically connected to the fusion module 203, for receiving the first data information sent by the fusion module 203; a data conversion unit 72 electrically connected to the data receiving unit 71, for performing analog-to-digital conversion on the first data information to obtain third data information; a data filtering unit 73 electrically connected to the data conversion unit 72, for filtering the third data information to obtain fourth data information; and a data gain unit 74 electrically connected to the data filtering unit 73, for amplifying the fourth data information to obtain the second data information.

[0060] To facilitate the processing of data information and its transmission and computation, this embodiment proposes an optional processing module structure, including a data receiving unit, a data conversion unit, a data filtering unit, and a data gain unit. The data receiving unit is used to query and acquire data information (i.e., the aforementioned first data information). The data conversion unit is used to perform analog-to-digital conversion on the acquired data information. The data filtering unit is used to filter out noise from the acquired data information. The data gain module is used to amplify the acquired data information.

[0061] In an exemplary embodiment, the structure of the fusion module 203 is shown in FIG8, including: a data integration unit 81, used to integrate and process the multi-source data to obtain fifth data information; a data evaluation unit 82, electrically connected to the data integration unit 81, used to evaluate the fifth data information to determine whether the fifth data information meets preset conditions; and a data analysis unit 83, electrically connected to the data evaluation unit 82, used to perform data mining on the fifth data information to obtain the first data information when the evaluation result output by the data evaluation unit 82 indicates that the fifth data information meets the preset conditions.

[0062] To facilitate the integration, analysis, and evaluation of various types of data, and to enable data fusion, in this embodiment, the fusion module preferably includes a data integration unit, a data evaluation unit, and a data analysis unit. The data integration unit is used to organically and virtually combine two or more datasets (i.e., the aforementioned multi-source data) through format conversion, structural reorganization, semantic matching, scale conversion, and data fusion to achieve the data integration process. The data evaluation unit is used to judge the integrated data information, detect whether the data information (i.e., the aforementioned fifth data information) conforms to the meaning of the metadata information, and whether there are significant deviations, etc. (i.e., determine whether the fifth data information meets the preset conditions). The data analysis unit mainly uses association analysis, classification clustering, and deep learning techniques to realize the value mining of data.

[0063] Further, the structure of the data integration unit 81 is shown in Figure 9, including: a data selection subunit 91, used to select data to be integrated from the multi-source data; a data preprocessing subunit 92, electrically connected to the data selection subunit 91, used to preprocess the data to be integrated to obtain preprocessed data to be integrated; a data cleaning subunit 93, electrically connected to the data preprocessing subunit 92, used to remove dirty data present in the preprocessed data to be integrated to obtain cleaned data to be integrated; and a data detection subunit 94, electrically connected to the data cleaning subunit 92, used to detect whether there is data missing in the cleaned data to be integrated, and if data missing is detected, to supplement the cleaned data to be integrated to obtain the fifth data information.

[0064] To facilitate data integration and improve data fusion, the data integration unit in this embodiment preferably includes a data selection subunit, a data preprocessing subunit, a data cleaning subunit, and a data detection subunit. The data selection subunit selects the received data to be integrated (i.e., the data to be integrated). The data preprocessing subunit performs preliminary processing on the data. The data cleaning subunit detects "dirty data" and improves data quality through data filtering and repair. The data detection subunit detects missing data and supplements it.

[0065] In an optional embodiment, this application also proposes a wind energy assessment method, applied to the above-mentioned wind energy assessment system, as shown in Figure 10, which specifically includes the following process:

[0066] Step S1001: Upon receiving the control command, the multi-source data is converted and processed by the fusion module to obtain the first data information, and the first data information is sent to the processing module. The multi-source data includes detection data from the detection device, satellite data, and radar data from the radar.

[0067] Step S1002: The processing module processes the first data information to obtain the second data information;

[0068] Step S1003: Build an environmental map using the GIS module and send the geographic information corresponding to the environmental map to the calculation model;

[0069] Step S1004: The second data information and the geographic information are processed by the calculation model to obtain the wind energy resource assessment information;

[0070] Step S1005: The wind energy resource assessment information is output to the processing module through the output module.

[0071] The above scheme involves converting and processing the collected detection data, satellite data, and radar data. Then, a computational model and GIS module are used to process the data, and GIS geographic information is incorporated to improve the integration of geographic information and achieve accurate wind resource assessment. Furthermore, the output module outputs the assessed wind energy information (i.e., wind energy resource assessment information), and the adjustment module rotates or moves the detection equipment and radar, enabling angle or position adjustment control. This wind energy assessment system solves the problem in existing technologies where the inability to effectively integrate various data information leads to data bias and inaccurate wind energy resource assessments.

[0072] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of this application.

[0073] This embodiment also provides a wind energy assessment method. The device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0074] Embodiments of this application also provide a computer-readable storage medium storing a computer program, wherein the computer program is configured to execute the steps in any of the above method embodiments when run.

[0075] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0076] S1, Upon receiving the control command, the multi-source data is converted and processed by the fusion module to obtain the first data information, and the first data information is sent to the processing module. The multi-source data includes detection data from the detection device, satellite data, and radar data from the radar.

[0077] S2, the processing module processes the first data information to obtain the second data information;

[0078] S3, build an environmental map using the GIS module, and send the geographic information corresponding to the environmental map to the calculation model;

[0079] S4, the second data information and the geographic information are processed by the calculation model to obtain the wind energy resource assessment information;

[0080] S5, the wind energy resource assessment information is output to the processing module through the output module.

[0081] In one exemplary embodiment, the aforementioned computer-readable storage medium may include, but is not limited to, various media capable of storing computer programs, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard disk, magnetic disk, or optical disk.

[0082] Specific examples in this embodiment can be found in the examples described in the above embodiments and exemplary implementations, and will not be repeated here.

[0083] Embodiments of this application also provide an electronic device including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0084] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0085] S1, Upon receiving the control command, the multi-source data is converted and processed by the fusion module to obtain the first data information, and the first data information is sent to the processing module. The multi-source data includes detection data from the detection device, satellite data, and radar data from the radar.

[0086] S2, the processing module processes the first data information to obtain the second data information;

[0087] S3, build an environmental map using the GIS module, and send the geographic information corresponding to the environmental map to the calculation model;

[0088] S4, the second data information and the geographic information are processed by the calculation model to obtain the wind energy resource assessment information;

[0089] S5, the wind energy resource assessment information is output to the processing module through the output module.

[0090] In one exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0091] Embodiments of this application also provide a computer program product, including a non-volatile computer-readable storage medium storing the computer program product, wherein the computer program, when executed by a processor, implements the steps of the methods described in various embodiments of this application.

[0092] Optionally, in this embodiment, the computer program described above can be configured to perform the following steps when executed by the processor:

[0093] S1, Upon receiving the control command, the multi-source data is converted and processed by the fusion module to obtain the first data information, and the first data information is sent to the processing module. The multi-source data includes detection data from the detection device, satellite data, and radar data from the radar.

[0094] S2, the processing module processes the first data information to obtain the second data information;

[0095] S3, build an environmental map using the GIS module, and send the geographic information corresponding to the environmental map to the calculation model;

[0096] S4, the second data information and the geographic information are processed by the calculation model to obtain the wind energy resource assessment information;

[0097] S5, the wind energy resource assessment information is output to the processing module through the output module.

[0098] Specific examples in this embodiment can be found in the examples described in the above embodiments and exemplary implementations, and will not be repeated here.

[0099] Obviously, those skilled in the art should understand that the modules or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented here, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

Claims

1. A wind energy assessment system, characterized in that, include: The control module, electrically connected to the processing module, is used to send control commands to the processing module, wherein the control commands are used to control the wind energy assessment system to assess wind energy resources in the target area; The processing module is electrically connected to the fusion module and the adjustment module, and is used to send the control command to the fusion module when the control command is received; The fusion module is electrically connected to the communication module and the computing model. It is used to receive multi-source data sent by the communication module when the control command is received; to perform conversion processing on the multi-source data to obtain first data information; and to send the first data information to the processing module. The multi-source data includes detection data from detection equipment, satellite data, and radar data from radar. The processing module is further configured to process the first data information and send the obtained second data information to the fusion module; The adjustment module is connected to the detection device and the radar, and is used to adjust the operating parameters of the detection device and the radar; The GIS module is electrically connected to the computational model and is used to build an environmental map and send the geographic information corresponding to the environmental map to the computational model. The calculation model is electrically connected to the output module and is used to receive the second data information and the geographical information sent by the fusion module, and to perform calculations on the second data information and the geographical information to obtain wind energy resource assessment information. The output module is electrically connected to the processing module and is used to output the wind energy resource assessment information to the processing module.

2. The wind energy assessment system according to claim 1, characterized in that, The wind energy assessment system also includes: A power supply module, electrically connected to the control module, is used to supply power to the wind energy assessment system. The power supply module includes: a power system, a step-down circuit, a rectifier circuit, a filter circuit, and a voltage regulator circuit. The step-down circuit reduces the high voltage of the power system, the rectifier circuit converts the AC voltage in the power system into DC voltage, the filter circuit filters out the AC voltage from the DC voltage, and the voltage regulator circuit reduces the fluctuation of the output voltage of the power system.

3. The wind energy assessment system according to claim 1, characterized in that, The wind energy assessment system also includes: An auxiliary module, electrically connected to the control module, includes: a display, a controller, a memory, an alarm, and indicator lights; the display is used to display data information, the controller is used to receive control commands from the first object, the alarm is used to sound an alarm when the data information is abnormal, the indicator lights are used to indicate the operating status of the wind energy assessment system, and the memory is used to store the data information; wherein the data information includes at least the first data information and the second data information.

4. The wind energy assessment system according to claim 1, characterized in that, The processing module includes: A data receiving unit, electrically connected to the fusion module, is used to receive the first data information sent by the fusion module; A data conversion unit, electrically connected to the data receiving unit, is used to perform analog-to-digital conversion on the first data information to obtain the third data information; A data filtering unit, electrically connected to the data conversion unit, is used to filter the third data information to obtain the fourth data information; The data gain unit, electrically connected to the data filtering unit, is used to amplify the fourth data information to obtain the second data information.

5. The wind energy assessment system according to claim 1, characterized in that, The fusion module includes: The data integration unit is used to integrate and process the multi-source data to obtain the fifth data information; A data evaluation unit, electrically connected to the data integration unit, is used to evaluate the fifth data information to determine whether the fifth data information meets preset conditions. A data analysis unit, electrically connected to the data evaluation unit, is used to perform data mining on the fifth data information to obtain the first data information when the evaluation result output by the data evaluation unit indicates that the fifth data information meets the preset conditions.

6. The wind energy assessment system according to claim 5, characterized in that, The data integration unit includes: A data selection subunit is used to select data to be integrated from the multi-source data; A data preprocessing subunit, electrically connected to the data selection subunit, is used to preprocess the data to be integrated to obtain preprocessed data to be integrated. The data cleaning subunit is electrically connected to the data preprocessing subunit and is used to remove dirty data in the preprocessed data to be integrated to obtain cleaned data to be integrated. The data detection subunit is electrically connected to the data cleaning subunit and is used to detect whether there is any missing data in the cleaned data to be integrated. If missing data is detected, the cleaned data to be integrated is supplemented to obtain the fifth data information.

7. A wind energy assessment method, characterized in that, The wind energy assessment system according to any one of claims 1 to 6 includes: Upon receiving the control command, the multi-source data is converted and processed by the fusion module to obtain the first data information, and the first data information is sent to the processing module. The multi-source data includes detection data from the detection device, satellite data, and radar data from the radar. The processing module processes the first data information to obtain the second data information; An environmental map is built using the GIS module, and the geographic information corresponding to the environmental map is sent to the computational model. The wind energy resource assessment information is obtained by performing calculations on the second data information and the geographic information using the calculation model. The wind energy resource assessment information is output to the processing module through the output module.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein the program, when executed, performs the method of claim 7.

9. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to execute the method of claim 7 through the computer program.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of claim 7.

Images