Determination method and device for development feasibility of offshore wind plant, storage medium and product

Abstract

The invention discloses a method and device for determining development feasibility of an offshore wind plant, a storage medium and a product, and relates to the field of ocean engineering.The method for determining development feasibility of the offshore wind plant comprises the steps that multiple evaluation indexes of the offshore wind plant are determined, the plurality of evaluation indexes are influence factors influencing the development of the offshore wind plant; evaluating the plurality of evaluation indexes to obtain a plurality of first scores of the plurality of evaluation indexes, and determining a plurality of first weights of the plurality of evaluation indexes, the plurality of evaluation indexes being in one-to-one correspondence with the plurality of first scores and the plurality of first weights; performing weighted summation on the plurality of first scores according to the plurality of first weights to obtain a comprehensive evaluation index of the offshore wind plant; and determining the development feasibility of the offshore wind plant according to the comprehensive evaluation index. By adopting the technical scheme, the problem of inaccurate judgment on the development feasibility of the offshore wind power plant in the related technology is solved.

Description

Technical Field

[0001] This application relates to the field of marine engineering, and more specifically, to a method and apparatus, storage medium and product for determining the feasibility of developing offshore wind farms. Background Technology

[0002] In recent years, with the increasing global demand for clean energy and the comprehensive development and utilization of marine resources, offshore wind power, as an important form of renewable energy, has seen rapid expansion in its construction scale. At the same time, marine ranching, as an effective way to promote the restoration of marine biological resources and improve the ecological environment, has also received widespread attention and promotion. Against this backdrop, exploring the integrated development of offshore wind farms and marine ranching has become a new strategy for achieving a win-win situation for both the blue carbon economy and marine ecological protection.

[0003] However, assessments of related technologies rely more on qualitative descriptions and lack a comprehensive evaluation index system that covers multiple aspects such as environment, biology, engineering, and society. This results in one-sided assessments that fail to fully reflect the suitability of integrated development.

[0004] There is currently no effective solution to the problem of inaccurate assessment of the feasibility of offshore wind farm development in related technologies.

[0005] Therefore, it is necessary to improve the relevant technology to overcome the aforementioned defects. Summary of the Invention

[0006] This application provides a method, apparatus, storage medium, and product for determining the feasibility of offshore wind farm development, in order to at least solve the problem of inaccurate judgment of the feasibility of offshore wind farm development in related technologies.

[0007] According to one aspect of the embodiments of this application, a method for determining the development feasibility of an offshore wind farm is provided, comprising: determining a plurality of evaluation indicators for the offshore wind farm, wherein the plurality of evaluation indicators are influencing factors affecting the development of the offshore wind farm; evaluating the plurality of evaluation indicators to obtain a plurality of first scores for the plurality of evaluation indicators, and determining a plurality of first weights for the plurality of evaluation indicators, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of first scores and the plurality of first weights; performing a weighted summation of the plurality of first scores according to the plurality of first weights to obtain a comprehensive evaluation index for the offshore wind farm; and determining the development feasibility of the offshore wind farm according to the comprehensive evaluation index.

[0008] In an exemplary embodiment, the comprehensive evaluation index of the offshore wind farm is obtained by weighted summation of the plurality of first scores according to the plurality of first weights, including: determining the comprehensive evaluation index S according to the following formula: Among them, X i W is the second score of the i-th evaluation indicator among the plurality of evaluation indicators. i is the second weight of the i-th evaluation indicator, n is the total number of the plurality of evaluation indicators, the plurality of first scores include the second score, the plurality of first weights include the second weight, and i is a positive integer.

[0009] In an exemplary embodiment, determining the development feasibility of the offshore wind farm based on the comprehensive evaluation index includes: determining the development feasibility as suitable for development when the comprehensive evaluation index falls within a first index range; determining the development feasibility as basically suitable for development when the comprehensive evaluation index falls within a second index range, wherein the maximum value of the second index range is less than or equal to the minimum value of the first index range; determining the development feasibility as generally suitable for development when the comprehensive evaluation index falls within a third index range, wherein the maximum value of the third index range is less than or equal to the minimum value of the second index range; and determining the development feasibility as unsuitable for development when the comprehensive evaluation index falls within a fourth index range, wherein the maximum value of the fourth index range is less than or equal to the minimum value of the third index range.

[0010] In an exemplary embodiment, evaluating the plurality of evaluation indicators to obtain a plurality of first scores for the plurality of evaluation indicators includes: acquiring a plurality of parameter data for the plurality of evaluation indicators, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of parameter data; determining a plurality of evaluation levels corresponding to the plurality of parameter data from an evaluation level library, wherein the plurality of parameter data correspond one-to-one with the plurality of evaluation levels; and determining a plurality of first scores based on the plurality of evaluation levels, wherein the plurality of evaluation levels correspond one-to-one with the plurality of first scores.

[0011] In an exemplary embodiment, determining the plurality of first scores based on the plurality of evaluation levels includes: for a first evaluation level among the plurality of evaluation levels, if the first evaluation level is a first level, determining a second score corresponding to the first evaluation level as a first preset value, wherein the plurality of first scores includes the second score; if the first evaluation level is a second level, determining the second score as a second preset value, wherein a first priority of the first level is higher than a second priority of the second level, and the first preset value is greater than the second preset value; if the first evaluation level is a third level, determining the second score as a third preset value, wherein the second priority is higher than a third priority of the third level, and the second preset value is greater than the third preset value; if the first evaluation level is a fourth level, determining the second score as a fourth preset value, wherein the third priority is higher than a fourth priority of the fourth level, and the third preset value is greater than the fourth preset value, wherein the priority of the first evaluation level is proportional to the development feasibility.

[0012] In an exemplary embodiment, determining multiple evaluation indicators for an offshore wind farm includes: acquiring environmental indicators in the offshore wind farm to indicate environmental impacts, wherein the environmental indicators include at least one of the following: water depth, ocean current velocity, and water quality information; acquiring biological indicators in the offshore wind farm to indicate biological impacts, wherein the biological indicators include at least one of the following: phytoplankton density, zooplankton density, and benthic biomass; acquiring engineering indicators in the offshore wind farm to indicate engineering impacts, wherein the engineering indicators include the offshore distance between the offshore wind farm and the coastline; and determining the environmental indicators, biological indicators, and engineering indicators as the multiple evaluation indicators.

[0013] According to another aspect of the embodiments of this application, an apparatus for determining the development feasibility of an offshore wind farm is also provided, comprising: a first determining module, configured to determine multiple evaluation indicators of the offshore wind farm, wherein the multiple evaluation indicators are influencing factors affecting the development of the offshore wind farm; a second determining module, configured to evaluate the multiple evaluation indicators to obtain multiple first scores of the multiple evaluation indicators, and determine multiple first weights of the multiple evaluation indicators, wherein the multiple evaluation indicators correspond one-to-one with the multiple first scores and the multiple first weights; a weighted summation module, configured to perform a weighted summation of the multiple first scores according to the multiple first weights to obtain a comprehensive evaluation index of the offshore wind farm; and a third determining module, configured to determine the development feasibility of the offshore wind farm according to the comprehensive evaluation index.

[0014] 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 program, and the computer program is configured to execute the above-described method for determining the feasibility of developing an offshore wind farm when it is run.

[0015] 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 method for determining the feasibility of developing the offshore wind farm through the computer program.

[0016] 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.

[0017] This application identifies multiple evaluation indicators for offshore wind farms, which are considered influencing factors for their development. These indicators are evaluated to obtain multiple first scores and weights, with each indicator corresponding to a specific first score and weight. A weighted sum of the first scores and weights yields a comprehensive evaluation index for the offshore wind farm. The feasibility of developing the offshore wind farm is then determined based on this comprehensive evaluation index. This addresses the problem of inaccurate feasibility assessments in related technologies. Attached Figure Description

[0018] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a hardware structure block diagram of a computer terminal for a method of determining the feasibility of developing an offshore wind farm, according to an embodiment of this application.

[0021] Figure 2 This is a flowchart of a method for determining the feasibility of developing an offshore wind farm according to an embodiment of this application;

[0022] Figure 3 This is a schematic diagram of a method for determining the feasibility of developing an offshore wind farm according to an embodiment of this application;

[0023] Figure 4 This is a structural block diagram of an apparatus for determining the feasibility of developing an offshore wind farm according to an embodiment of this application. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] The methods and embodiments provided in this application can be executed on a computer terminal or similar computing device. Taking running on a computer terminal as an example, Figure 1 This is a hardware structure block diagram of a computer terminal for a method of determining the feasibility of offshore wind farm development according to an embodiment of this application. Figure 1 As shown, a computer terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a central processing unit (CPU) or a field-programmable gate array (FPGA)) and a memory 104 for storing data are also shown. The computer terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the computer terminal described above. For example, the computer terminal may also include components that are more complex than those described above. Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0027] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the method for determining the feasibility of offshore wind farm development in this embodiment of the application. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include 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.

[0028] The computer terminal uses a wireless network provided by a communications 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 may be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0029] This embodiment provides a method for determining the feasibility of developing offshore wind farms, which is applied to the aforementioned computer terminal. Figure 2 This is a flowchart illustrating a method for determining the feasibility of developing an offshore wind farm according to an embodiment of this application, such as... Figure 2 As shown, the process includes the following steps:

[0030] Step S202: Determine multiple evaluation indicators for offshore wind farms, wherein the multiple evaluation indicators are influencing factors affecting the development of offshore wind farms;

[0031] Step S204: Evaluate the plurality of evaluation indicators to obtain a plurality of first scores for the plurality of evaluation indicators, and determine a plurality of first weights for the plurality of evaluation indicators, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of first scores and the plurality of first weights;

[0032] Step S206: The multiple first scores are weighted and summed according to the multiple first weights to obtain the comprehensive evaluation index of the offshore wind farm;

[0033] Step S208: Determine the development feasibility of the offshore wind farm based on the comprehensive evaluation index.

[0034] Through the above steps, multiple evaluation indicators for offshore wind farms are identified, representing factors influencing their development. These indicators are then assessed to obtain multiple primary scores and primary weights, with each indicator corresponding to a specific primary score and weight. A weighted sum of the primary scores and weights yields a comprehensive evaluation index for the offshore wind farm. This comprehensive evaluation index is then used to determine the feasibility of offshore wind farm development. This approach resolves the problem of inaccurate feasibility assessments in related technologies.

[0035] In an exemplary embodiment, the comprehensive evaluation index of the offshore wind farm is obtained by weighted summation of the plurality of first scores according to the plurality of first weights, including: determining the comprehensive evaluation index S according to the following formula: Among them, X i W is the second score of the i-th evaluation indicator among the plurality of evaluation indicators. i is the second weight of the i-th evaluation indicator, n is the total number of the plurality of evaluation indicators, the plurality of first scores include the second score, the plurality of first weights include the second weight, and i is a positive integer.

[0036] In an exemplary embodiment, determining the development feasibility of the offshore wind farm based on the comprehensive evaluation index includes: determining the development feasibility as suitable for development when the comprehensive evaluation index falls within a first index range; determining the development feasibility as basically suitable for development when the comprehensive evaluation index falls within a second index range, wherein the maximum value of the second index range is less than or equal to the minimum value of the first index range; determining the development feasibility as generally suitable for development when the comprehensive evaluation index falls within a third index range, wherein the maximum value of the third index range is less than or equal to the minimum value of the second index range; and determining the development feasibility as unsuitable for development when the comprehensive evaluation index falls within a fourth index range, wherein the maximum value of the fourth index range is less than or equal to the minimum value of the third index range.

[0037] The comprehensive evaluation index is determined according to the above formula. This index is the weighted sum of scores from all evaluation indicators and reflects the suitability of the integrated wind and fishery development in the target sea area. Optionally, as shown in Table 1, when the comprehensive evaluation index falls within the first index range (e.g., 0.75 to 1.0), the development feasibility is deemed suitable. This means that the feasibility of integrated wind and fishery development is extremely high, as it not only meets the needs of economic development but also minimizes the negative impact on the ecological environment, making it an ideal development site. When the comprehensive evaluation index falls within the second index range (e.g., 0.5 to 0.75), the development feasibility is deemed basically suitable. This means that, compared to the first range, sea areas within the second index range may be slightly deficient in some indicators, requiring additional engineering or environmental improvement measures to meet development requirements. Despite certain limitations, with proper planning and adjustments, integrated development still has high feasibility. When the comprehensive evaluation index falls within the third index range (e.g., 0.25 to 0.5), the development feasibility is classified as generally suitable. Sea areas within the third index range may require more significant environmental modifications or engineering investments to overcome deficiencies in certain key indicators. While the economic costs and environmental risks of development are relatively high, integrated wind and fishery development is still possible through comprehensive assessment and optimization strategies. When the comprehensive evaluation index falls within the fourth index range (e.g., 0 to 0.25), development feasibility is assessed as unsuitable. Within the fourth index range, the conditions of the target sea area are severely unsuitable for integrated wind and fishery development, possibly due to a fragile ecosystem, frequent disasters, unsupported socioeconomic conditions, or the presence of significant conflicts. Direct integrated construction will face extremely high risks, including economic infeasibility and damage to the ecological environment; therefore, integrated development should be avoided in these areas.

[0038] Table 1. Relationship between Comprehensive Evaluation Index and Development Feasibility

[0039] grade Index range suitable 0.75-1.0 Basically suitable 0.5-0.75 Generally suitable 0.25-0.5 Inappropriate 0-0.25

[0040] In an exemplary embodiment, evaluating the plurality of evaluation indicators to obtain a plurality of first scores for the plurality of evaluation indicators includes: acquiring a plurality of parameter data for the plurality of evaluation indicators, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of parameter data; determining a plurality of evaluation levels corresponding to the plurality of parameter data from an evaluation level library, wherein the plurality of parameter data correspond one-to-one with the plurality of evaluation levels; and determining a plurality of first scores based on the plurality of evaluation levels, wherein the plurality of evaluation levels correspond one-to-one with the plurality of first scores.

[0041] Comprehensive field observation or simulation prediction data corresponding to each evaluation indicator are collected. These indicators cover multiple aspects, including environment (such as water depth and ocean current velocity), biology (phytoplankton density and fishery resources), engineering (distance from shore), and socio-economic factors (frequency of natural disasters and conflicts over marine functions). Each indicator has specific parameter data, such as specific readings of water depth and measured values ​​of ocean current velocity. This data must be accurate and reliable to ensure the accuracy of the assessment. Based on a pre-set evaluation level library, the collected parameter data are converted into corresponding evaluation levels. For example, water depths of 2 to 40 meters are considered "suitable," while those of 60 to 80 meters may be downgraded to "average." The determined evaluation levels are mapped to a scoring system to obtain a first score for each evaluation indicator. For example, "suitable" might correspond to 3 points, "basically suitable" to 2 points, "average" to 1 point, and "poor" to 0 points. By converting evaluation levels into scores, the evaluation results are quantitatively expressed, facilitating subsequent mathematical calculations and comprehensive analysis. See Table 2 for details.

[0042] Table 2 Evaluation Level Classification and Scores

[0043]

[0044] In an exemplary embodiment, determining the plurality of first scores based on the plurality of evaluation levels includes: for a first evaluation level among the plurality of evaluation levels, if the first evaluation level is a first level, determining a second score corresponding to the first evaluation level as a first preset value, wherein the plurality of first scores includes the second score; if the first evaluation level is a second level, determining the second score as a second preset value, wherein a first priority of the first level is higher than a second priority of the second level, and the first preset value is greater than the second preset value; if the first evaluation level is a third level, determining the second score as a third preset value, wherein the second priority is higher than a third priority of the third level, and the second preset value is greater than the third preset value; if the first evaluation level is a fourth level, determining the second score as a fourth preset value, wherein the third priority is higher than a fourth priority of the fourth level, and the third preset value is greater than the fourth preset value, wherein the priority of the first evaluation level is proportional to the development feasibility.

[0045] Optionally, as shown in Table 3, when the first evaluation level is suitable (Level 1), the second score corresponding to the first evaluation level is 3 (first preset value); when the first evaluation level is basically suitable (Level 2), the second score is 2 (second preset value); when the first evaluation level is average (Level 3), the second score is 1 (third preset value); and when the first evaluation level is poor (Level 4), the second score is 0 (fourth preset value).

[0046] Table 3 Evaluation Level Table

[0047] rating level Fraction illustrate suitable 3 Meets development conditions Basically suitable 2 Some impact generally 1 Conditions are average, renovations are needed. Poor 0 Lacking the conditions for development

[0048] It needs to be clarified that the first evaluation level is used to determine the developability of a specific indicator, while the comprehensive evaluation index is used to determine the developability of offshore wind farms. The first evaluation level focuses on the local aspects, while the comprehensive evaluation index focuses more on the overall situation.

[0049] In an exemplary embodiment, determining multiple evaluation indicators for an offshore wind farm includes: acquiring environmental indicators in the offshore wind farm to indicate environmental impacts, wherein the environmental indicators include at least one of the following: water depth, ocean current velocity, and water quality information; acquiring biological indicators in the offshore wind farm to indicate biological impacts, wherein the biological indicators include at least one of the following: phytoplankton density, zooplankton density, and benthic biomass; acquiring engineering indicators in the offshore wind farm to indicate engineering impacts, wherein the engineering indicators include the offshore distance between the offshore wind farm and the coastline; and determining the environmental indicators, biological indicators, and engineering indicators as the multiple evaluation indicators.

[0050] Environmental indicators are key parameters for assessing the potential impact of natural resource conditions on the integrated development of wind farms and aquaculture. These mainly include water depth, ocean current velocity, and water quality information. Water depth reflects the seabed topography of the wind farm area, influencing the installation and maintenance of offshore facilities, and also determining the types and distribution of aquaculture organisms. Ocean current velocity indicates the dynamics of water flow, affecting the material cycle and biological migration of the marine ecosystem, and is crucial for the introduction and growth conditions of organisms in marine ranches. Water quality information includes dissolved oxygen, inorganic nitrogen, phosphate, and chemical oxygen demand (COD). Mn Key parameters such as water quality and petroleum are used to visually demonstrate the health status of marine waters and are fundamental to assessing the carrying capacity and biological resource potential of marine ecosystems.

[0051] Bioindicators directly correlate with the health and biodiversity richness of marine ecosystems. These primarily include phytoplankton density, zooplankton density, and benthic biomass. Phytoplankton density reflects the abundance of primary marine producers and plays a crucial role in establishing the marine food chain and maintaining marine ecological balance. Zooplankton density indicates the number of secondary marine consumers, influencing the structure and function of food webs within marine ranches. Benthic biomass displays the total biomass of seabed organisms and is an important reference for assessing the integrity and biological resource potential of seabed ecosystems.

[0052] Engineering indicators focus on the impact of the physical layout and infrastructure construction of wind farms on integrated development, mainly including offshore distance. Offshore distance measures the distance between the wind farm and the coast, affecting the construction and operation and maintenance costs of offshore wind power, and is also related to the construction of marine ranches and the convenience of fish transport. See Table 4 for details.

[0053] Table 4 Evaluation Indicators

[0054]

[0055]

[0056] To better understand the process of determining the feasibility of offshore wind farm development, the following description, in conjunction with optional embodiments, further illustrates the method for determining the feasibility of offshore wind farm development, but is not intended to limit the technical solutions of the embodiments of this application.

[0057] Figure 3 This is a schematic diagram of a method for determining the feasibility of developing an offshore wind farm according to an embodiment of this application, as shown below. Figure 3 As shown, it specifically includes the following:

[0058] The target sea area for integrated development is identified, and relevant data for the target sea area is collected, such as hydrological data (e.g., water depth, current velocity), water quality data (dissolved oxygen, inorganic nitrogen, phosphate, etc.), biological data (phytoplankton, zooplankton, benthic organisms, and fishery resources), meteorological data, marine functional zoning data, and socio-economic data. An evaluation system is constructed based on this data. Specifically, the aforementioned data are used as evaluation indicators for the feasibility of sea area development. Evaluation levels for multiple evaluation indicators are determined according to an evaluation level database, and scores for these indicators are further determined based on the evaluation levels. Simultaneously, the weights corresponding to the multiple evaluation indicators are determined according to Table 5. The comprehensive evaluation index S of the target sea area is determined using the following formula: Among them, X i W represents the score of the i-th evaluation indicator among multiple evaluation indicators. i The weight of the i-th evaluation index is used. The suitability of the target sea area for development is determined based on the comprehensive evaluation index. For example, when the comprehensive evaluation index falls within the first index range (e.g., 0.75 to 1.0), development feasibility is deemed suitable. When the comprehensive evaluation index falls within the second index range (e.g., 0.5 to 0.75), development feasibility is deemed basically suitable. When the comprehensive evaluation index falls within the third index range (e.g., 0.25 to 0.5), development feasibility is classified as generally suitable. When the comprehensive evaluation index falls within the fourth index range (e.g., 0 to 0.25), development feasibility is assessed as unsuitable.

[0059] Table 5 Weights of Evaluation Indicators

[0060]

[0061] 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.

[0062] This embodiment also provides an apparatus for determining the feasibility of offshore wind farm development. This apparatus 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 be a combination of software and / or hardware that performs a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0063] Figure 4 This is a structural block diagram of an apparatus for determining the feasibility of offshore wind farm development according to an embodiment of this application. The apparatus includes:

[0064] The first determining module 42 is used to determine multiple evaluation indicators for offshore wind farms, wherein the multiple evaluation indicators are influencing factors affecting the development of the offshore wind farms;

[0065] The second determining module 44 is used to evaluate the plurality of evaluation indicators, obtain a plurality of first scores for the plurality of evaluation indicators, and determine a plurality of first weights for the plurality of evaluation indicators, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of first scores and the plurality of first weights.

[0066] The weighted summation module 46 is used to perform a weighted summation of the multiple first scores according to the multiple first weights to obtain the comprehensive evaluation index of the offshore wind farm.

[0067] The third determining module 48 is used to determine the development feasibility of the offshore wind farm based on the comprehensive evaluation index.

[0068] Using the aforementioned device, multiple evaluation indicators for offshore wind farms are determined, representing factors influencing their development. These indicators are then assessed to obtain multiple first scores and weights, with each indicator corresponding to a specific first score and weight. A weighted sum of the first scores and weights yields a comprehensive evaluation index for the offshore wind farm. This comprehensive evaluation index is then used to determine the feasibility of offshore wind farm development. This approach addresses the problem of inaccurate feasibility assessments in related technologies.

[0069] In an exemplary embodiment, the weighted summation module 46 is further configured to determine the comprehensive evaluation index S according to the following formula: Among them, X i W is the second score of the i-th evaluation indicator among the plurality of evaluation indicators. i is the second weight of the i-th evaluation indicator, n is the total number of the plurality of evaluation indicators, the plurality of first scores include the second score, the plurality of first weights include the second weight, and i is a positive integer.

[0070] In an exemplary embodiment, the third determining module 48 is further configured to: determine that the development feasibility is suitable for development when the comprehensive evaluation index falls within the first index range; determine that the development feasibility is basically suitable for development when the comprehensive evaluation index falls within the second index range, wherein the maximum value of the second index range is less than or equal to the minimum value of the first index range; determine that the development feasibility is generally suitable for development when the comprehensive evaluation index falls within the third index range, wherein the maximum value of the third index range is less than or equal to the minimum value of the second index range; and determine that the development feasibility is unsuitable for development when the comprehensive evaluation index falls within the fourth index range, wherein the maximum value of the fourth index range is less than or equal to the minimum value of the third index range.

[0071] In an exemplary embodiment, the second determining module 44 is further configured to acquire multiple parameter data of the multiple evaluation indicators, wherein the multiple evaluation indicators correspond one-to-one with the multiple parameter data; determine multiple evaluation levels corresponding to the multiple parameter data from the evaluation level library, wherein the multiple parameter data correspond one-to-one with the multiple evaluation levels; and determine multiple first scores based on the multiple evaluation levels, wherein the multiple evaluation levels correspond one-to-one with the multiple first scores.

[0072] In an exemplary embodiment, the second determining module 44 is further configured to, for a first evaluation level among the plurality of evaluation levels, determine a second score corresponding to the first evaluation level as a first preset value when the first evaluation level is a first level, wherein the plurality of first scores includes the second score; determine the second score as a second preset value when the first evaluation level is a second level, wherein a first priority of the first level is higher than a second priority of the second level, and the first preset value is greater than the second preset value; determine the second score as a third preset value when the first evaluation level is a third level, wherein the second priority is higher than a third priority of the third level, and the second preset value is greater than the third preset value; determine the second score as a fourth preset value when the first evaluation level is a fourth level, wherein the third priority is higher than a fourth priority of the fourth level, and the third preset value is greater than the fourth preset value, wherein the priority of the first evaluation level is proportional to the development feasibility.

[0073] In an exemplary embodiment, the first determining module 42 is further configured to acquire environmental indicators in the offshore wind farm that indicate environmental impact, wherein the environmental indicators include at least one of the following: water depth, ocean current velocity, and water quality information; acquire biological indicators in the offshore wind farm that indicate biological impact, wherein the biological indicators include at least one of the following: phytoplankton density, zooplankton density, and benthic biomass; acquire engineering indicators in the offshore wind farm that indicate engineering impact, wherein the engineering indicators include the offshore distance between the offshore wind farm and the coastline; and determine the environmental indicators, biological indicators, and engineering indicators as the plurality of evaluation indicators.

[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, determine multiple evaluation indicators for offshore wind farms, wherein the multiple evaluation indicators are influencing factors affecting the development of offshore wind farms;

[0077] S2, evaluate the plurality of evaluation indicators to obtain a plurality of first scores for the plurality of evaluation indicators, and determine a plurality of first weights for the plurality of evaluation indicators, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of first scores and the plurality of first weights;

[0078] S3, the multiple first scores are weighted and summed according to the multiple first weights to obtain the comprehensive evaluation index of the offshore wind farm;

[0079] S4. Determine the feasibility of developing the offshore wind farm based on the comprehensive evaluation index.

[0080] 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.

[0081] 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.

[0082] Embodiments of this application also provide an electronic device including a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the steps in any of the above method embodiments.

[0083] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0084] S1, determine multiple evaluation indicators for offshore wind farms, wherein the multiple evaluation indicators are influencing factors affecting the development of offshore wind farms;

[0085] S2, evaluate the plurality of evaluation indicators to obtain a plurality of first scores for the plurality of evaluation indicators, and determine a plurality of first weights for the plurality of evaluation indicators, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of first scores and the plurality of first weights;

[0086] S3, the multiple first scores are weighted and summed according to the multiple first weights to obtain the comprehensive evaluation index of the offshore wind farm;

[0087] S4. Determine the feasibility of developing the offshore wind farm based on the comprehensive evaluation index.

[0088] 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.

[0089] 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.

[0090] Optionally, in this embodiment, the computer program described above can be configured to perform the following steps when executed by the processor:

[0091] S1, determine multiple evaluation indicators for offshore wind farms, wherein the multiple evaluation indicators are influencing factors affecting the development of offshore wind farms;

[0092] S2, evaluate the plurality of evaluation indicators to obtain a plurality of first scores for the plurality of evaluation indicators, and determine a plurality of first weights for the plurality of evaluation indicators, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of first scores and the plurality of first weights;

[0093] S3, the multiple first scores are weighted and summed according to the multiple first weights to obtain the comprehensive evaluation index of the offshore wind farm;

[0094] S4. Determine the feasibility of developing the offshore wind farm based on the comprehensive evaluation index.

[0095] 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.

[0096] 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.

[0097] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for determining the feasibility of developing an offshore wind farm, characterized in that, include: Multiple evaluation indicators for offshore wind farms are determined, wherein the multiple evaluation indicators are influencing factors affecting the development of the offshore wind farms; The plurality of evaluation indicators are evaluated to obtain a plurality of first scores for the plurality of evaluation indicators, and a plurality of first weights for the plurality of evaluation indicators are determined, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of first scores and the plurality of first weights; The comprehensive evaluation index of the offshore wind farm is obtained by weighting and summing the multiple first scores according to the multiple first weights. The feasibility of developing the offshore wind farm is determined based on the comprehensive evaluation index.

2. The method for determining the feasibility of offshore wind farm development according to claim 1, characterized in that, The comprehensive evaluation index of the offshore wind farm is obtained by weighted summation of the multiple first scores based on the multiple first weights, including: The comprehensive evaluation index S is determined according to the following formula: Among them, X i W is the second score of the i-th evaluation indicator among the plurality of evaluation indicators. i is the second weight of the i-th evaluation indicator, n is the total number of the plurality of evaluation indicators, the plurality of first scores include the second score, the plurality of first weights include the second weight, and i is a positive integer.

3. The method for determining the feasibility of offshore wind farm development according to claim 1, characterized in that, The feasibility of developing the offshore wind farm is determined based on the comprehensive evaluation index, including: If the comprehensive evaluation index falls within the range of the first index, the development feasibility is determined to be suitable for development. If the comprehensive evaluation index falls within the range of the second index, the development feasibility is determined to be basically suitable for development, wherein the maximum value of the second index range is less than or equal to the minimum value of the first index range. If the comprehensive evaluation index falls within the range of the third index, the development feasibility is determined to be generally suitable for development, wherein the maximum value of the third index range is less than or equal to the minimum value of the second index range. If the comprehensive evaluation index falls within the range of the fourth index, the development feasibility is determined to be unsuitable for development, wherein the maximum value of the fourth index range is less than or equal to the minimum value of the third index range.

4. The method for determining the feasibility of offshore wind farm development according to claim 1, characterized in that, The multiple evaluation indicators are evaluated to obtain multiple first scores for the multiple evaluation indicators, including: Obtain multiple parameter data of the multiple evaluation indicators, wherein the multiple evaluation indicators correspond one-to-one with the multiple parameter data; Multiple evaluation levels corresponding to the multiple parameter data are determined from the evaluation level library, wherein the multiple parameter data and the multiple evaluation levels correspond one-to-one; The plurality of first scores are determined based on the plurality of evaluation levels, wherein the plurality of evaluation levels correspond one-to-one with the plurality of first scores.

5. The method for determining the feasibility of offshore wind farm development according to claim 4, characterized in that, The plurality of first scores are determined based on the plurality of evaluation levels, including: For the first evaluation level among the plurality of evaluation levels, if the first evaluation level is the first level, the second score corresponding to the first evaluation level is determined as the first preset value, wherein the plurality of first scores includes the second score; When the first evaluation level is the second level, the second score is determined to be the second preset value, wherein the first priority of the first level is higher than the second priority of the second level, and the first preset value is greater than the second preset value. When the first evaluation level is level three, the second score is determined to be the third preset value, wherein the second priority is higher than the third priority of the third level, and the second preset value is greater than the third preset value; When the first evaluation level is level four, the second score is determined to be the fourth preset value, wherein the third priority is higher than the fourth priority of the fourth level, the third preset value is greater than the fourth preset value, and the priority of the first evaluation level is proportional to the development feasibility.

6. The method for determining the feasibility of offshore wind farm development according to claim 1, characterized in that, Several evaluation metrics for offshore wind farms were determined, including: The environmental indicators used to indicate environmental impact in the offshore wind farm are obtained, wherein the environmental indicators include at least one of the following: water depth, ocean current velocity, and water quality information; Obtain biological indicators in the offshore wind farm to indicate biological impacts, wherein the biological indicators include at least one of the following: phytoplankton density, zooplankton density, and benthic biomass; Obtain engineering indicators for the offshore wind farm to indicate engineering impact, wherein the engineering indicators include the offshore wind farm's distance from the coast. The environmental indicators, biological indicators, and engineering indicators are defined as the multiple evaluation indicators.

7. A device for determining the feasibility of developing an offshore wind farm, characterized in that, include: The first determining module is used to determine multiple evaluation indicators for offshore wind farms, wherein the multiple evaluation indicators are influencing factors affecting the development of the offshore wind farms; The second determining module is used to evaluate the plurality of evaluation indicators, obtain a plurality of first scores for the plurality of evaluation indicators, and determine a plurality of first weights for the plurality of evaluation indicators, wherein the plurality of evaluation indicators correspond one-to-one with the plurality of first scores and the plurality of first weights. The weighted summation module is used to perform a weighted summation of the multiple first scores according to the multiple first weights to obtain the comprehensive evaluation index of the offshore wind farm; The third determining module is used to determine the development feasibility of the offshore wind farm based on the comprehensive evaluation index.

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 any one of claims 1 to 6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method described in any one of claims 1 to 6.

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 according to any one of claims 1 to 6.

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