Wind power project development information system based on development map

Abstract

The present invention provides a wind power project development information system based on a development map, the system comprising: a data acquisition module configured to acquire and store relevant data for wind power project development; a data processing module configured to integrate and count the relevant data, and perform regional potential analysis on the wind power project development based on the results of the data integration and data statistics; a business service module configured to provide corresponding data services based on the results of the data integration and data statistics and the analysis results generated by the data processing module. The present invention accelerates the project development process and improves work efficiency by performing potential analysis on wind power project development.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power development, and more particularly to a wind power project development information system based on a development map. Background Art

[0002] In the development of wind power projects, it is necessary to consider issues such as wind resources, land conditions, forests, water conservancy and substations, as well as refer to surrounding wind power projects that have been built or are under construction to judge resource information to ensure the accuracy of development. The resource information required for wind power project development is trivial and scattered, and substation data is not easy to obtain. Most of the resource information query software on the market has a single function and requires multiple software to query resource information, causing developers to perform unnecessary repeated switching operations between multiple software. The living conditions in the location where the wind power project is developed are often poor. If the location where the wind power project is developed is judged to be an area without development value, it will result in high cost losses.

[0003] In the prior art, many different types of software have been developed to assist in the development of wind power projects, such as the wind resource mapping software "Freemeso", the software "Fengxun" for querying wind farms and wind towers, the software "Greenwich" that can quickly select macro sites, wind chasers, energy cubes, Apollo Cloud, etc. However, most of these software have single functions, immature technologies, and obstacles to interaction between multiple platforms. For example, "Fengxun" and "Freemeso" can provide the geographical location of the wind power project, but cannot provide substation data near the wind power project, as well as other land data, such as cultivated land, gardens, forests, grasslands, commercial and service land, industrial and mining storage land, residential land, public land, special land, transportation land, waters and other land. For another example, "Greenwich" can complete the rapid macro site selection of the area to which the wind power project belongs, but cannot provide the potential for the area to be developed in the future.

[0004] Therefore, wind power project development still requires a digital unified platform that can integrate functions such as data aggregation, data analysis, and risk management, so that staff can easily and quickly aggregate, count, and update wind power project development data, as well as conduct risk management and potential area analysis for wind power project development, saving manpower and material resources and speeding up the project development process. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a wind power project development information system based on a development map, which accelerates the progress of wind power project development by performing potential analysis on wind power project development, thereby improving work efficiency.

[0006] According to one aspect of the present invention, there is provided a wind power project development information system based on a development map, the system comprising: a data acquisition module configured to acquire and store relevant data for wind power project development; a data processing module configured to perform data integration and data statistics on the relevant data, and perform regional potential analysis on the wind power project development based on the results of the data integration and data statistics; a business service module configured to provide corresponding data services based on the results of the data integration and data statistics and the analysis results generated by the data processing module; wherein the data processing module comprises a first processing unit, a second processing unit and a third processing unit, the first processing unit being used to summarize and compare project progress data and wind tower data of wind power project development in real time, the second processing unit being used to perform data integration on wind energy data, meteorological data, land data and substation data through a data overlay mode, and the third processing unit being used to perform operations on the data processing results of the first processing unit and the second processing unit to obtain comprehensive potential analysis results of developed areas and undeveloped areas.

[0007] Preferably, the third processing unit is also used to use the GP model to calculate the data processing results of the first processing unit and the second processing unit to obtain the market potential, technical potential and policy potential of the developed areas and the undeveloped areas, and use an artificial neural network to calculate the analysis results of the comprehensive potential of the developed areas and the undeveloped areas based on the analysis results of the market potential, technical potential and policy potential.

[0008] Preferably, the GP model imports relevant data for wind power project development into the service as vector data, and constructs the GP model according to business rules, and the GP model supports a combination of intersection, union, difference, buffer zone and inclusion analysis.

[0009] Preferably, the third processing unit is also used to correct the market potential, technical potential, policy potential and comprehensive potential through an artificial neural network algorithm, and to adjust the correction value of the GP model in real time based on the correction of the market potential, technical potential, policy potential and comprehensive potential.

[0010] Preferably, the analysis of technical potential includes analyzing at least one of wind speed, precipitation, land availability, land adjustability and substations to obtain technical potential area and capacity.

[0011] Preferably, the analysis of policy potential includes analysis of policy red lines and policy dividends.

[0012] Preferably, the project progress data includes data on at least one of projects with signed development agreements but not yet in the approved plan, projects in the approved plan but not approved, projects approved but not started, projects under construction and projects connected to the grid; the wind energy data includes wind energy map data with a resolution of 100m, 1km, 3km, 6km and / or 9km; the land data includes data on at least one of national land planning, national land status, transportation road network, nature reserve, water town, green park, woodland and ecological red line; the meteorological data includes rainfall data; and the substation data includes data on substations with multiple main transformer capacities.

[0013] Preferably, the system further comprises: a function presentation module configured to visually present the data service provided by the business service module through a visual electronic map platform.

[0014] Preferably, the business service module includes: a summary data service unit, which provides data services for real-time summary and comparison results of project progress data and wind tower data for wind power project development; and a detailed data service unit, which provides data services for data integration results of wind energy data, meteorological data, land data and substation data.

[0015] Preferably, the business service module also includes: a project management data service unit, which provides data services on risk warning results, warning color identification and marking results of processed risk areas for wind power project development; a potential analysis data service unit, which provides data services on the analysis results of market potential, technical potential, policy potential and comprehensive potential of the developed and undeveloped areas.

[0016] Preferably, the third processing unit is further configured to: use a deep learning-based web crawler to collect policy information from web pages, wherein the deep learning-based web crawler performs conceptual expression on the web page content represented by text vectors and constructs a multi-level web page topic concept feature vector, and uses a vector machine model to quickly identify the web page topic under the new feature expression.

[0017] Preferably, the data processing module also includes: a fourth processing unit, which issues risk warnings for wind power project development based on the data processing results of the first processing unit and the second processing unit, marks corresponding area locations on the map with warning colors, analyzes areas where risks have occurred, and marks processed risk areas obtained through the analysis as processed.

[0018] Preferably, the system adopts SSM framework technology to perform layered processing on the data acquisition module, the data processing module and the business service module.

[0019] Preferably, the system uses MD5 encryption and decryption to store the data in the data acquisition module and the data processing module.

[0020] According to another aspect of the present invention, a wind power project development information system based on a development map is provided, the system comprising: an overview layer for collecting project progress data and wind tower data, as well as market policy data; a detailed layer, including a wind energy layer, a land layer and a power grid layer, for integrating land data, wind energy data, meteorological data, substation data in a data overlay mode, and integrating a basic base map of an electronic map; a potential layer for performing spatial operations and potential analysis on the wind energy resources and market policy data output by the overview layer, and the land data, wind energy data, meteorological data, substation data, and electronic map data output by the detailed layer, so as to obtain comprehensive potential analysis results for developed and undeveloped areas.

[0021] Preferably, the potential layer includes a potential analysis module, which uses the GP model to perform buffer analysis on the substation data, and intersects the buffer analysis result with the land data to obtain a first intersection result, and then intersects the first intersection result with the wind energy data to obtain a second intersection result, and the second intersection result is a potential analysis object.

[0022] Preferably, the potential analysis module is also used to perform potential analysis on the potential analysis object output by the GP model through an artificial neural network algorithm, and the potential analysis includes market potential analysis, technical potential analysis, policy potential analysis and comprehensive potential analysis, wherein the technical potential analysis includes potential analysis of at least one of wind speed, precipitation, land availability, land adjustability, and substation information to obtain the technical potential area and capacity.

[0023] Preferably, the potential analysis module is also used to correct the potential analysis results through an artificial neural network algorithm, wherein the artificial neural network algorithm trains learning rules by combining various potential analysis conditions to form learning instances, and inputs the trained learning rules into the GP model to achieve correction of the potential analysis results.

[0024] Preferably, the wind energy layer includes national wind resource maps with a resolution of 100m, 1km, 3km, 6km, and 9km; the land layer includes cultivated land, gardens, woodlands, grasslands, commercial and service land, industrial and mining storage land, residential land, public land, special land, transportation land, water areas and other land across the country; and the power grid layer includes substations with multiple main transformer capacities.

[0025] The above-mentioned wind power project development information system based on the development map can improve the accuracy and work efficiency of wind power project development. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above features and other purposes, characteristics and advantages of the present invention will become more apparent from the following detailed description of the present invention in conjunction with the accompanying drawings, in which:

[0027] Figure 1 A block diagram showing a wind power project development information system based on a development map according to an embodiment of the present invention;

[0028] Figure 2 A flow chart showing spatial operations using a GP model according to an exemplary embodiment of the present invention is shown;

[0029] Figure 3 A schematic diagram showing an artificial neural network algorithm according to an exemplary embodiment of the present invention;

[0030] Figure 4 A schematic diagram showing the modification of the GP model by potential analysis according to an exemplary embodiment of the present invention;

[0031] Figure 5 A multi-level architecture diagram of a wind power project development information system based on a development map according to an embodiment of the present invention is shown;

[0032] Figure 6 A background technical architecture diagram of a wind power project development information system based on a development map according to an embodiment of the present invention is shown.

[0033] Throughout the drawings, the same drawing reference numerals will be understood to refer to the same elements, features, and structures. DETAILED DESCRIPTION

[0034] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein the same reference numerals always represent the same components.

[0035] Figure 1 is a block diagram showing a wind power project development information system based on a development map according to an embodiment of the present invention.

[0036] like Figure 1As shown, the wind power project development information system 100 based on the development map includes a data acquisition module 101, a data processing module 102, a business service module 103 and a function display module 104. According to an embodiment of the present invention, the wind power project development information system 100 based on the development map can be implemented by various computing devices (e.g., computers, servers, workstations, etc.). Specifically, the data acquisition module 101 is configured to collect and store relevant data for wind power project development, the data processing module 102 is configured to perform data integration and data statistics on the relevant data for wind power project development, and perform regional potential analysis on the wind power project development based on the results of data integration and data statistics, the business service module 103 is configured to provide corresponding data services based on the results of data integration and data statistics generated by the data processing module 102 and the analysis results, and the function display module 104 is configured to visualize the data services provided by the business service module 103 through a visualized electronic map platform.

[0037] The data acquisition module 101 collects and stores the relevant data for wind power project development, including at least project progress data, wind tower data, wind energy data, meteorological data, land data and substation data. Here, the project progress data includes data of at least one of the projects with signed development agreements but not yet in the approved plan, the projects with approved plans but not approved, the approved but not started projects, the projects under construction and the projects connected to the grid. The wind energy data includes wind energy map data with a resolution of 100m, 1km, 3km, 6km and / or 9km. The land data includes data on at least one of the national land planning, national land status, transportation network, nature reserve, water city, green park, woodland and ecological red line. The meteorological data generally refers to rainfall data. The substation data includes data of substations with multiple main transformer capacities. In addition, the relevant data for wind power project development also includes geographic information, remote sensing images and market and policy information, etc. The market and policy information includes the development planning and development status of electricity, wind power and photovoltaic power, as well as electricity prices and financial subsidies, etc. The results of risk warning and potential analysis of wind power project development based on market and policy information are more accurate and reliable. It should be understood that the above examples of relevant data used for wind power project development are only illustrative examples, and the types of data that can be used in the present invention are not limited thereto.

[0038] The data processing module 102 includes a first processing unit, a second processing unit, a third processing unit and a fourth processing unit. Specifically, the first processing unit is used to summarize and compare the project progress data and the wind tower data of the wind power project development in real time, the second processing unit integrates the wind energy data, meteorological data, land data and substation data in the first processing unit through the data superposition mode, the third processing unit calculates the data processing results of the first processing unit and the second processing unit to obtain the comprehensive potential analysis results of the developed area and the undeveloped area, and the fourth processing unit performs risk warning on the wind power project development according to the data processing results of the first processing unit and the second processing unit.

[0039] According to an embodiment of the present invention, the third processing unit uses the GP model (Geoprocessing) to perform a large number of spatial operations on the relevant data and data processing results of the wind power project development to obtain analysis results of the market potential, technical potential and policy potential of developed areas and undeveloped areas, and thereby conduct a comprehensive potential analysis of the wind power project development. Here, the GP model imports the relevant data used for wind power project development as vector data into the service, and constructs the GP model according to business rules. The GP model supports a combination of intersection, union, difference, buffer zone and inclusion analysis. The analysis of technical potential includes analyzing at least one of wind speed, precipitation, land availability, land adjustability and substations to obtain the technical potential area and capacity, and the policy potential analysis includes analyzing policy red lines and policy dividends. It should be understood that the above description is only exemplary, and the present invention is not limited thereto. According to an embodiment of the present invention, the process of using the GP model for spatial operations is as follows: Figure 2 As shown in . Specifically, a buffer zone analysis is first performed on the substation, and then the buffer zone analysis result is intersected with the land status to obtain a first intersection result 1. Then, the first intersection result 1 is intersected with the wind energy data to obtain a second intersection result 2 (i.e., the final data). Here, all inputs in the GP model are accompanied by a parameter P, and the parameter P is customized. The user can enter a layer name or customized data as a parameter value. For example, a user can enter externally acquired wind energy data as customized data to participate in calculations, etc. It should be understood that the above examples of parameter P are only illustrative examples, and the parameters that can be used in the present invention are not limited to this.

[0040] According to an embodiment of the present invention, the third processing unit also corrects the market potential, technical potential, policy potential and comprehensive potential through an artificial neural network algorithm, and adjusts the correction value of the GP model in real time based on the correction of the market potential, technical potential, policy potential and comprehensive potential. Here, the artificial neural network (ANN) algorithm is a mathematical model algorithm that uses a structure similar to the synaptic connection of the brain to process information. It is composed of a large number of nodes (or neurons) connected to each other, and has the characteristics of large-scale parallel processing, distributed information storage, and good self-organization and self-learning capabilities. Each node of the artificial neural network represents a specific output function, called an activation function. The connection between each two nodes represents a weighted value for the signal passing through the connection, called a weight. The output of the artificial neural network varies depending on the connection method of the network, the weight value and the activation function. Figure 3 As shown in . The artificial neural network algorithm in the potential analysis process mainly consists of two stages. One stage is the working period, at this time, the weight value of each connection is fixed, and the stable state is achieved through the change of the state of each computing unit. Here, the change of the state of each computing unit refers to the change of the state of each computing element, such as the change of wind energy size, whether the land nature is available, and whether the power grid can be connected. The other stage is the learning period (adaptive period or design period), in which the learning rules and the modified weight coefficients are executed, the state of each computing unit remains unchanged, and the weight value of each connection can be modified through learning samples or other methods to obtain a suitable mapping relationship, for example, by calculating the area that meets the conditions to obtain the installed capacity of the technical potential that can be developed.

[0041] According to the embodiment of the present invention, when the market potential, technical potential, policy potential and comprehensive potential are corrected by the artificial neural network algorithm, the computer intelligent automatic analysis and mapping (automatic improvement of GP service) function can be combined to correct each potential analysis result in the map, thereby reducing the time and effort spent on map and analysis data correction and improving the efficiency of correcting the potential analysis results. Figure 4As shown in , the correction value of GP service data is adjusted in real time based on the potential analysis results output by the artificial neural network and the expected output of the trained "learning rule" signal, wherein the trained "learning rule" signal can be completed by combining the various conditions of the potential analysis to form a specific learning instance, and by adjusting the weight values ​​of the interconnections between the nodes of the network system, and the training method can achieve the purposes of memory, association, and induction. It should be noted that since the GP model processes the underlying map area data, it cannot be associated with policy and market data, which is also an important defect of the existing software in the background technology. The present invention realizes dynamic potential analysis under different periods, different policies and different market demands by correcting the potential analysis results in real time through the "learning rules" trained by the artificial neural network algorithm, thereby obtaining the areas with the most development potential to guide users to make scientific decisions.

[0042] In addition, the third processing unit uses a web crawler based on deep learning to collect policy information from web pages, wherein the web crawler based on deep learning conceptually expresses the web page content represented by the text vector, constructs a multi-level web page theme concept feature vector, and uses a vector machine model to quickly identify the web page theme under the new feature expression, effectively improving the recognition accuracy of the web crawler program for the web page theme. A web crawler is a program that automatically crawls web pages. The web crawler starts from the URL of one or several initial web pages, obtains the URL on the initial web page, and in the process of crawling web pages, continuously extracts new URLs that meet the specified rules from the current page and puts them into the queue until a certain stop condition of the system is met. All web pages crawled by the crawler in the web crawler will be stored by the system, and indexes will be established through certain analysis and filtering for subsequent query and retrieval. Here, the policy information collected from the web page by the web crawler based on deep learning will be stored, and a corresponding policy index database can be established through certain analysis, filtering and classification for users to conduct real-time query of policy information.

[0043] According to an embodiment of the present invention, the fourth processing unit issues risk warnings for wind power projects that have been approved but not included in the approval plan, wind power projects that have been included in the approval plan but not approved, wind power projects that have been approved but do not have the conditions for commencement, and / or key risk control projects, and marks the risk warnings with warning colors at the corresponding area locations on the map, conducts another risk analysis on the areas where risks have occurred, and marks the areas where risks have been handled as (risk) handled status.

[0044] The business service module 103 provides data services corresponding to the data processing module 102, corresponding to the first processing unit, the second processing unit, the third processing unit and the fourth processing unit of the data processing module 102, and the business service module 103 includes a summary data service unit, a detailed data service unit, a potential analysis data service unit and a project management data service unit. Specifically, the summary data service unit provides data services for real-time summary results and comparison results of project progress data and wind tower data for wind power project development, the detailed data service unit provides data services for data integration results of wind energy data, meteorological data, land data and substation data, the potential analysis data service unit provides data services for analysis results of market potential, technical potential, policy potential and comprehensive potential of developed and undeveloped areas, and the project management data service unit provides data services for risk warning results, warning color markings and marking results of processed risk areas for wind power project development.

[0045] The data services provided by the business service module 103 are visualized through the function display module 104. The function display module 104 respectively visualizes the data services provided by the summary data service unit, the detailed data service unit, the potential analysis data service unit, and the project management data service unit through the visualized electronic map platform. Here, the visualized display includes map display, chart display, and graphic display, for example, a bar chart display of comparative data, a curve chart display of data in different regions, a pie chart display of risk warning, a chart display of electricity prices in various regions, and a map display of regional policies.

[0046] According to an embodiment of the present invention, a wind power project development information system 100 based on a development map includes an overview layer, a detailed layer and a potential layer, wherein the overview layer is used to collect project progress data and wind tower data, as well as market policy data; the detailed layer includes a wind energy layer, a land layer and a power grid layer, which are used to integrate land data, wind energy data, meteorological data, and substation data in a data overlay mode, and integrate the basic base map of the electronic map; the potential layer is used to perform spatial operations and potential analysis on the wind energy resources and market policy data output by the overview layer, as well as the land data, wind energy data, meteorological data, substation data, and electronic map data output by the detailed layer, to obtain comprehensive potential analysis results for developed and undeveloped areas.

[0047] According to an embodiment of the present invention, a user can obtain project progress data, wind tower data and market policy data through a summary layer. In one example, the overview layer interface can display the data summary results of wind power project development from 2012 to 2018 (for example, displayed through a bar chart), including national data summary and enterprise data summary of projects with signed development agreements but not yet approved, projects with approved plans but not approved, approved but not started, projects under construction and grid-connected projects, and also displays the distribution of national wind farms and enterprise wind farms in different regions, provinces and cities (for example, displayed through a map), as well as the project data ratio results of national wind power projects and enterprise wind power projects in 2018, the results of wind tower data comparison in 2018 (for example, displayed through an arc comparison chart), etc. Of course, the user can also obtain the corresponding data summary results, project data ratio results and wind tower data comparison results by setting or selecting other time periods. It should be understood that the above description is only exemplary and the present invention is not limited thereto.

[0048] In addition, users can obtain market and policy information related to wind power project development by clicking the "Market and Policy" option at the title on the visual electronic map platform. For example, the market and policy interface can display development plans, development status, prices, subsidies, quotas, and business benchmarking, among which the development plan part includes power development plans, wind power development plans, and photovoltaic development plans (for example, displayed by pie charts), the development status part includes power development status, wind power development status, and photovoltaic development status (for example, displayed by bar charts), the price part includes wind power benchmark on-grid electricity prices, photovoltaic power generation benchmark on-grid electricity prices, coal-fired benchmark on-grid electricity prices, general commercial and other electricity prices, and large industrial electricity prices (for example, displayed by charts), and the subsidy part includes financial subsidies, electricity price surcharges, and environmental protection electricity prices. It should be understood that the above description is only exemplary and the present invention is not limited thereto. According to an embodiment of the present invention, users can obtain corresponding data results according to different business needs. For example, when a user clicks on "Electricity Development Status", a map display area and a data information display area (icon display and curve display) that display the electricity development status of different regions in the most intuitive digital way can be obtained. For another example, when a user clicks on "Large Industrial Electricity Consumption", a map display area and a data information display area (icon display and curve display) that display the large industrial electricity consumption in different regions in different colors can be obtained. Here, the data information display area supports the function of multi-condition comprehensive query to meet the needs of different business scenarios, and the data information display area and the map display area can be linked for query. The layout of the overall display interface is concise and clear, giving users an excellent user experience.

[0049] According to an embodiment of the present invention, the detailed layer includes a wind energy layer, a land layer and a power grid layer, wherein the wind energy layer includes a wind resource map with a resolution of 100m, 1km, 3km, 6km and 9km nationwide, the land layer includes cultivated land, gardens, forests, grasslands, commercial and service land, industrial and mining storage land, residential land, public land, special land, transportation land, water areas and other land nationwide, and the power grid layer includes substations with multiple main transformer capacities. Users can obtain data services provided by the detailed data service unit by clicking the "Detailed Layer" option on the visualized electronic map platform. For example, the detailed layer interface displays the wind energy data, meteorological data, land data and substation data used for wind power project development in Beijing, wherein the user can obtain wind energy map data with a resolution of 100m, 1km, 3km, 6km and / or 9km by clicking on the "wind energy layer", the user can obtain the rainfall data in Beijing by clicking on the "meteorological data", and the user can also click on the icons such as national land planning, national land status, transportation road network, nature reserve, water city, green park, forest land and / or ecological red line in the "land layer" to obtain the corresponding data information. For example, if the user clicks on the "national land status" icon, the cultivated land, garden land, forest land, grassland, commercial and service land, industrial and mining storage land, residential land, public land, special land, transportation land, water area and other land in the whole country can be obtained. For another example, if the user clicks on the "national land planning" icon, the land available for wind power project development such as pasture land, general farmland and nature reserve can be obtained, as well as the unavailable land for wind power project development such as independent mining area, water area, forestry area and scenic tourism land. It should be understood that the above description is only exemplary, and the present invention is not limited thereto. According to an embodiment of the present invention, the data information of the wind energy layer, land layer, meteorological and substation data can be superimposed and displayed on the map, that is, the detailed layer can realize the integrated display of wind energy data, meteorological data, land data and substation data in a "one picture" display mode. In addition, the detailed layer also integrates the basic base maps of maps such as Amap and Google, and provides an interface for data service sharing through system development for OGC standard services. Among them, the wind energy layer supports instantaneous update of wind energy data display in seconds, and the land layer and substation support monthly updated data display.

[0050] In addition, the user can obtain the data service provided by the project management data service unit by clicking the "Project Management" option on the visual electronic map platform. For example, the project management interface can display the risk warning results of wind power projects that have been approved but not included in the approval plan, wind power projects that have been included in the approval plan but not approved, wind power projects that have been approved but not ready for construction, and / or risk key control projects, as well as the risk warning rankings of wind power project development in different regions, and provide early warning prompts for wind power projects with risks, that is, warning color markings (for example, red or yellow) are made at the corresponding regional locations on the map. In addition, the project management interface can also display the "processed status" marked at the processed risk area on the map. The risk warning for the development of wind power projects can be displayed and statistically analyzed in a hierarchical manner according to administrative divisions (provinces, cities, districts, and counties), such as the risk warning results for the development of wind power projects in Xicheng District, Dongguan City, Guangdong Province, as shown in the map display area. It should be understood that the above description is only exemplary and the present invention is not limited thereto.

[0051] According to an embodiment of the present invention, the potential layer includes a potential analysis module, which uses a GP model to perform a buffer analysis on the substation data, and intersects the buffer analysis result with the land data to obtain a first intersection result, and then intersects the first intersection result with the wind energy data to obtain a second intersection result. Here, the second intersection result is used as a potential analysis object. The potential analysis module is also used to perform potential analysis and correction of the potential analysis result on the potential analysis object output by the GP model through an artificial neural network algorithm. The potential analysis includes market potential analysis, technical potential analysis, policy potential analysis and comprehensive potential analysis, wherein the technical potential analysis includes performing potential analysis on at least one of wind speed, precipitation, land availability, land adjustable, and substation information to obtain the technical potential area and capacity. According to an embodiment of the present invention, a user can obtain the data service provided by the potential analysis data service unit by clicking the "potential layer" option on the visual electronic map platform. For example, the potential layer interface displays the potential analysis results of the development of wind power projects in Shanxi Province, wherein the results of the policy potential analysis can be obtained by selecting the policy red line and policy dividend, and the analysis of the technical potential can be realized by the wind energy availability, the land availability capacity and the number of substations that can be connected. It should be understood that the above description is only exemplary and the present invention is not limited thereto. According to the data acquisition module 101, the data processing module 102, the business service module 103 and the function display module 104 of the embodiment of the present invention can provide any type of data collection, statistics, analysis, data-related services and data display related to wind power project development according to user needs.

[0052] Figure 5 is a multi-level architecture diagram showing a wind power project development information system based on a development map according to an embodiment of the present invention.

[0053] like Figure 5 As shown, the wind power project development information system 100 based on the development map may include a data layer, a service layer, a system layer and an application layer. The data layer includes basic framework data, thematic data and system data. Here, the data layer data can be managed by the data management system, and the unstructured wind power business data can be analyzed by big data technology, and regularized data can be extracted from it and stored in a relational database. The service layer is used to provide map services, functional services, metadata services and security services. The service layer includes OGC (Open Geospatial Consortium) services that comply with international annotations and other web services. Among them, OGC services are open geographic spatial information alliance services, such as web map services (WMS), web map slice services (WMTS), etc. The system layer implements display, statistics, analysis and query functions based on the services provided by the service layer. The system layer directly calls a service of the service layer instead of directly accessing the database. The application layer includes the pad end, mobile phone end and computer end, which can be selected according to the different needs of users.

[0054] According to an embodiment of the present invention, the background development of the wind power project development information system 100 based on the development map adopts the latest SSM (Spring+SpringMVC+MyBatis) framework technology to realize the hierarchical processing of basic data, business processing and application display parts. Here, the SSM framework includes four levels: presentation layer, business layer, persistence layer and view layer. The presentation layer controls the specific business module process and controls the business process by calling the interface of the business layer. The business layer designs the logical application of the business module. The persistence layer interacts with the database and handles the persistence of data. The view layer displays the interface of different services of the business layer, such as Figure 6 As shown in . In the background development of the system of the present invention, the data processing part improves the system cohesion and reduces the system coupling through centralized calling, thereby reducing the operation and maintenance costs of the product. In terms of data security processing, by splitting each functional item, each menu and button can be assigned and authorized by role. The database uses MD5 (Message-Digest Algorithm, Message Digest Algorithm Fifth Edition) encryption and decryption during data storage, which enhances the security of storage in the database. The system manages the project work management flow, controls data upload, circulation and review through personnel and roles, and provides flexible and reliable data support for the front desk.

[0055] The wind power project development information system based on the development map according to the embodiment of the present invention can not only provide land data and substation data that are difficult to obtain, so as to make the data coverage comprehensive, but also carry out risk warning and potential analysis on the wind power project development, so as to improve the accuracy of wind power project development, speed up the process of wind power project development, and improve work efficiency.

[0056] While the invention has been shown and described with reference to the particular exemplary embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made without departing from the spirit and scope of the invention as defined by the claims and their equivalents.

Claims

1. A wind power project development information system based on development map, characterized in that: The system comprises: A data acquisition module configured to acquire and store relevant data for wind power project development; A data processing module is configured to perform data integration and data statistics on the relevant data, and perform regional potential analysis on the wind power project development based on the results of the data integration and data statistics; A business service module, configured to provide corresponding data services based on the data integration and data statistics results and analysis results generated by the data processing module; The data processing module includes a first processing unit, a second processing unit and a third processing unit. The first processing unit is used to summarize and compare the project progress data and wind tower data of the wind power project development in real time. The second processing unit is used to integrate the wind energy data, meteorological data, land data and substation data through the data superposition mode. The third processing unit is used to use the GP model to perform spatial operations on the data processing results of the first processing unit and the second processing unit to obtain the analysis results of the market potential, technical potential and policy potential of the developed and undeveloped areas, and use the artificial neural network algorithm to obtain the comprehensive potential analysis results of the developed and undeveloped areas according to the analysis results of the market potential, technical potential and policy potential. The process of the third processing unit using the GP model to perform spatial operations includes: performing a buffer zone analysis on the substation data, and intersecting the buffer zone analysis result with the land data to obtain a first intersection result, and then intersecting the first intersection result with the wind energy data to obtain a second intersection result, wherein the substation data includes data of substations with multiple main transformer capacities; The third processing unit is further used to correct the market potential, technical potential, policy potential and comprehensive potential through an artificial neural network algorithm, and to adjust the correction value of the GP model in real time based on the correction of the market potential, technical potential, policy potential and comprehensive potential. The third processing unit adjusts the correction value of the service data of the GP model in real time based on the potential analysis result output by the artificial neural network and the expected output of the trained learning rule signal, wherein the trained learning rule signal is formed by combining the conditions of the potential analysis to form a specific learning instance and adjusting the weight value of the interconnection between the nodes of the network system. Among them, the potential analysis process of the artificial neural network algorithm includes a working period and a learning period. In the working period, the weight values ​​of each connection of the artificial neural network are fixed, and a stable state is achieved through changes in the states of each computing unit of the artificial neural network, wherein the changes in the states of each computing unit include changes in the size of wind energy, whether the land nature is available, and whether the power grid is accessible; in the learning period, the artificial neural network executes learning rules and corrects weight coefficients, the states of each computing unit of the artificial neural network remain unchanged, and the weight values ​​of each connection of the artificial neural network are calculated by calculating the area that meets the conditions to obtain the installed capacity of the technical potential that can be developed.

2. The system according to claim 1, characterized in that The GP model imports relevant data for wind power project development into the service as vector data, and constructs the GP model according to business rules. The GP model supports a combination of intersection, union, difference, buffer zone and inclusion analysis.

3. The system according to claim 1, characterized in that The analysis of the technical potential includes analyzing at least one of wind speed, precipitation, land availability, land adjustability, and substations to obtain a technical potential area and capacity; and / or, The analysis of the policy potential includes analysis of policy red lines and policy dividends.

4. The system according to claim 1, characterized in that The project progress data includes data on at least one of projects with signed development agreements but not yet in the approved plan, projects in the approved plan but not approved, projects that have been approved but not started, projects under construction and projects connected to the grid; the wind energy data includes wind energy map data with a resolution of 100m, 1km, 3km, 6km and / or 9km; the land data includes data on at least one of national land planning, national land status, transportation road network, nature reserve, water city, green park, woodland and ecological red line; the meteorological data includes rainfall data.

5. The system according to claim 1, wherein: The system further comprises: The function display module is configured to visually display the data service provided by the business service module through a visual electronic map platform.

6. The system according to claim 1, wherein: The business service module includes: The data service unit provides data services for real-time summary and comparison of project progress data and wind tower data for wind power project development; The detailed data service unit provides data services for data integration results of wind energy data, meteorological data, land data and substation data.

7. The system according to claim 6, characterized in that The business service module also includes: The project management data service unit provides data services on risk early warning results, warning color markings and marking results of processed risk areas for wind power project development; The potential analysis data service unit provides data services on the analysis results of the market potential, technical potential, policy potential and comprehensive potential of the developed and undeveloped areas.

8. The system of claim 1, wherein: The third processing unit is further configured to: A deep learning-based web crawler is used to collect policy information from web pages, wherein the deep learning-based web crawler performs conceptual expression on web page content represented by text vectors and constructs multi-level web page topic concept feature vectors, and uses a vector machine model to quickly identify web page topics under new feature expressions.

9. The system according to claim 1, characterized in that The data processing module also includes: The fourth processing unit issues a risk warning for the development of the wind power project based on the data processing results of the first processing unit and the second processing unit, marks the corresponding area positions on the map with warning colors, analyzes the areas where risks have occurred, and marks the processed risk areas obtained through the analysis as processed.

10. A wind power project development information system based on development map, characterized in that: The system comprises: An overview layer, used to collect project progress data and wind tower data and display data summary and comparison results of the project progress data and the wind tower data, and to collect market policy data; Detailed layers, including wind energy layers, land layers and power grid layers, are used to integrate land data, wind energy data, meteorological data, substation data in a data overlay mode, and integrate the basic base map of the electronic map; The potential layer is used to use the GP model to perform spatial operations on the wind energy resources and market policy data output by the overview layer, and the land data, wind energy data, meteorological data, substation data, and electronic map data output by the detailed layer, and to perform potential analysis on the potential analysis objects output by the GP model through an artificial neural network algorithm, so as to obtain comprehensive potential analysis results of developed areas and undeveloped areas, wherein the potential analysis includes market potential analysis, technical potential analysis, policy potential analysis, and comprehensive potential analysis. The potential layer includes a potential analysis module, which uses a GP model to perform a buffer zone analysis on the substation data, and intersects the buffer zone analysis result with the land data to obtain a first intersection result, and then intersects the first intersection result with the wind energy data to obtain a second intersection result, the second intersection result is the potential analysis object, and the substation data includes data of substations with multiple main transformer capacities. The potential analysis module is further used to correct the potential analysis result by artificial neural network algorithm, and to adjust the correction value of the GP model in real time based on the correction of the potential analysis result. The potential analysis module adjusts the correction value of the service data of the GP model in real time based on the potential analysis result output by the artificial neural network and the expected output of the trained learning rule signal, wherein the trained learning rule signal forms a specific learning instance by combining various conditions of the potential analysis and adjusting the weight value of the interconnection between the nodes of the network system. Among them, the potential analysis process of the artificial neural network algorithm includes a working period and a learning period. In the working period, the weight values ​​of each connection of the artificial neural network are fixed, and a stable state is achieved through changes in the states of each computing unit of the artificial neural network, wherein the changes in the states of each computing unit include changes in the size of wind energy, whether the land nature is available, and whether the power grid is accessible; in the learning period, the artificial neural network executes learning rules and corrects weight coefficients, the states of each computing unit of the artificial neural network remain unchanged, and the weight values ​​of each connection of the artificial neural network are calculated by calculating the area that meets the conditions to obtain the installed capacity of the technical potential that can be developed.

11. The system according to claim 10, characterized in that The potential analysis module is also used to perform potential analysis on the potential analysis object output by the GP model through an artificial neural network algorithm. The technical potential analysis includes performing potential analysis on at least one of wind speed, precipitation, land availability, land adjustability, and substation information to obtain the technical potential area and capacity.

12. The system according to claim 10, characterized in that The wind energy layer includes national wind resource maps with resolutions of 100m, 1km, 3km, 6km and 9km; the land layer includes cultivated land, gardens, woodlands, grasslands, commercial and service land, industrial and mining storage land, residential land, public land, special land, transportation land, water areas and other land across the country; the power grid layer includes substations with multiple main transformer capacities.

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