Method and device for digitalized attack and defense environment simulation of new energy station

Abstract

The invention discloses a new energy station digital attack and defense environment simulation method and device, relates to the salinity gradient energy station technology field, introduces a digital simulation method to realize comprehensive monitoring and analysis of ocean dynamics and climate conditions, and provides abundant data support for managers. The data not only help to identify the change trend of the power generation efficiency, but also provides a scientific basis for the decision-making process. A manager can make a more reasonable decision based on a data analysis result, and an alarm mechanism can respond to the conditions of environment change and equipment performance reduction in time. Through monitoring and identification of potential risks, the system can rapidly take measures when the power generation efficiency is reduced, equipment faults or extreme climate changes occur, and managers can reasonably allocate equipment and personnel through analysis of the power generation efficiency and requirements of different areas, so that unnecessary operation cost is avoided. And effective resource configuration improves the working efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of salinity gradient energy stations, and in particular to a method and device for simulating a digital attack and defense environment of a new energy station. Background Art

[0002] Under the background of global energy transformation and sustainable development, the development and utilization of new energy sources are receiving more and more attention. In particular, ocean energy, as a clean and renewable energy form, has attracted widespread attention due to its abundant resources and low environmental impact. Salinity gradient energy, as an important form of ocean energy, generates electricity by utilizing the energy difference between different salinities of seawater and has good development potential. Therefore, a method and device for digital attack and defense environment simulation of new energy stations are needed.

[0003] Prior art, such as the invention patent application with announcement number CN117216473A, discloses a method for correcting salinity profile data of an MVP system based on temperature gradient profile analysis, the steps of which include: preprocessing the MVP profile data, using the sensor response time optimal correction algorithm to correct the response time of the preprocessed MVP profile data, using the enumeration optimization algorithm to find the optimal thermal lag correction coefficient of the thermal inertia correction algorithm of each layer in each thermocline and non-cline, using the optimal thermal lag correction coefficient to calculate the corrected temperature data, and using the conductivity data, pressure data and the corrected temperature data to calculate the salinity. The MVP system salinity profile data correction method significantly reduces the salinity difference between the up and down measurement profiles of the MVP, and the salinity peak is basically eliminated, especially the thermocline is significantly improved, the average absolute salinity difference between the up and down profiles is reduced from 0.04psu to 0.014psu, and the overall salinity error is reduced by 65%.

[0004] In view of the above scheme, the applicant of the present invention has found that the above technology has at least the following technical problems: 1. In traditional methods, the acquisition of ocean dynamic parameters and climate conditions often relies on manual collection and regular monitoring, resulting in a lag in data update. This lag may result in an untimely judgment of the power generation efficiency in the salinity gradient energy station, affecting the overall efficiency and energy output of the system. At the same time, without a real-time analysis system, the prior art may rely on static models or historical data in the evaluation of power generation efficiency, which may not accurately reflect the current actual situation, resulting in misleading evaluations, thereby affecting the optimization and scheduling of the system.

[0005] 2. In traditional monitoring systems, if the power generation efficiency in a certain area decreases, there is often a lack of timely early warning mechanisms, resulting in the accumulation of problems without a solution that can be quickly adjusted and optimized. This delay can lead to potential energy losses and premature damage to equipment. It is difficult to assess the impact of climate conditions on power generation efficiency in real time, resulting in the inability to dynamically adjust power generation plans. For example, seasonal climate changes or sudden weather events are not considered in a timely manner, which in turn leads to reduced power generation efficiency or unstable system operation. At the same time, existing technologies lack comprehensive consideration of dynamic change factors and cannot form a closed-loop optimization control of the system, which may lead to reduced energy utilization efficiency and increased operating costs. Traditional technologies also have difficulty in conducting comprehensive analysis of complex ocean dynamics and climate conditions, limiting in-depth understanding of the operating status of energy sites and optimization decisions. Summary of the invention

[0006] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a method and device for simulating a digital attack and defense environment of a new energy station.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a method for simulating a digital attack and defense environment of a new energy station, step one, obtaining ocean dynamic parameters: obtaining the ocean dynamic parameters corresponding to each area in the target salinity gradient energy station at the current moment, and then analyzing to obtain the ocean dynamic evaluation coefficient corresponding to each area in the target salinity gradient energy station, and judging whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted.

[0008] Step 2: Early warning of judgment results: When the power generation efficiency of a certain area in the target salinity gradient energy station needs to be adjusted, an early warning response process is then carried out on the power generation efficiency corresponding to the area in the target salinity gradient energy station.

[0009] Step 3. Obtaining climate condition assessment coefficients: After the power generation efficiency corresponding to each area in the target salinity gradient energy station is processed for early warning response, the climate condition data corresponding to each area in the target salinity gradient energy station is obtained, and then the power generation efficiency assessment coefficients corresponding to each area in the target salinity gradient energy station are analyzed and the early warning response parameters corresponding to each area in the target salinity gradient energy station are adjusted.

[0010] Preferably, the ocean dynamic parameters include water salinity intensity, water temperature and water flow velocity corresponding to each ocean gradient.

[0011] Preferably, the specific judgment process for judging whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted is as follows: Q1. Obtaining the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station from the database.

[0012] Q2. Compare the ocean dynamics assessment coefficient corresponding to a certain area in the target salinity gradient energy station with the standard ocean dynamics assessment coefficient range. If the ocean dynamics assessment coefficient corresponding to a certain area in the target salinity gradient energy station is within the standard ocean dynamics assessment coefficient, it is determined that the power generation efficiency of the area in the target salinity gradient energy station does not need to be adjusted. Conversely, if the ocean dynamics assessment coefficient corresponding to a certain area in the target salinity gradient energy station is not within the standard ocean dynamics assessment coefficient, it is determined that the power generation efficiency of the area in the target salinity gradient energy station needs to be adjusted. In this way, it is determined whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted.

[0013] Preferably, the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station is obtained, and the specific acquisition process is as follows: E1. Through the Meteorological and Oceanographic Bureau, ocean observation stations and satellite remote sensing, historical and real-time ocean dynamic parameter data are collected to obtain the power generation efficiency data of the target salinity gradient energy station under different ocean conditions, and the power generation efficiency of each area is recorded in combination with the corresponding ocean dynamic parameters.

[0014] E2. Clean and organize the collected data, remove outliers and missing values, standardize the data, ensure the comparability of data from different data sources, use statistical analysis methods to determine the relationship between ocean dynamic parameters and power generation efficiency, and identify the key ocean dynamic parameters that affect power generation efficiency.

[0015] E3. Based on the key ocean dynamic parameters that affect power generation efficiency, study power generation cases under different ocean conditions, extract successful and unsuccessful conditions, and use correlation analysis to determine which ocean dynamic parameters have the greatest impact on power generation efficiency. In this way, focus on the most important parameters and analyze the degree of influence of changes in each parameter on power generation efficiency to determine which parameter standard ranges require higher attention, thereby establishing the standard ocean dynamic assessment coefficient range for the target salinity gradient energy site.

[0016] E4. Determine the upper and lower limits of the standard ocean dynamics assessment coefficient to form an interval, set the reasonable range of water salinity intensity, water temperature and water flow velocity corresponding to each ocean gradient, and obtain the relationship between the typical ocean dynamics assessment coefficient and power generation efficiency through multiple experiments or simulations, so as to better formulate standards, use new real-time data to verify the standard ocean dynamics assessment coefficient interval, confirm its validity and accuracy, and determine the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station based on the verification results.

[0017] Preferably, the power generation efficiency corresponding to the area in the target salinity gradient energy station is subjected to early warning response processing, and the specific analysis process is as follows: W1. When the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted, if the ocean dynamics assessment coefficient corresponding to the area in the target salinity gradient energy station is less than the minimum value in the standard ocean dynamics assessment coefficient interval, an "inefficiency warning" is triggered; if the ocean dynamics assessment coefficient corresponding to the area is less than 10% of the minimum value in the standard ocean dynamics assessment coefficient interval, it is marked as a slight inefficiency warning and triggers one "inefficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is less than 20% of the minimum value in the standard ocean dynamics assessment coefficient interval, it is marked as a moderate inefficiency warning and triggers a second "inefficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is less than 30% or more of the minimum value in the standard ocean dynamics assessment coefficient interval, it is marked as a severe inefficiency warning and triggers three "inefficiency warnings".

[0018] W2. If the ocean dynamics assessment coefficient corresponding to the area in the target salinity gradient energy station is greater than the maximum value in the standard ocean dynamics assessment coefficient range, a "high-efficiency warning" is triggered; if the ocean dynamics assessment coefficient corresponding to the area is greater than 10% of the maximum value in the standard ocean dynamics assessment coefficient range, it is marked as a slight high-efficiency warning and triggers one "high-efficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is greater than 20% of the maximum value in the standard ocean dynamics assessment coefficient range, it is marked as a medium high-efficiency warning and triggers a second "high-efficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is greater than 30% or more of the maximum value in the standard ocean dynamics assessment coefficient range, it is marked as a severe high-efficiency warning and triggers three "high-efficiency warnings".

[0019] Preferably, the early warning response parameters corresponding to each area in the target salinity gradient energy station are adjusted, and the specific analysis process is as follows: S1. If a certain area triggers an "inefficiency warning", the power generation efficiency evaluation coefficient corresponding to the area is compared with the power generation efficiency evaluation coefficient interval corresponding to the operating mode of each generator set in the inefficiency warning in the database. If the power generation efficiency evaluation coefficient corresponding to the area is within the power generation efficiency evaluation coefficient interval corresponding to the operating mode of a certain generator set in the inefficiency warning in the database, the early warning response parameters corresponding to the operating mode of the generator set in the inefficiency warning in the database are used as the early warning response parameters corresponding to the area.

[0020] S2. If a certain area triggers "high-efficiency warning", the power generation efficiency evaluation coefficient corresponding to the area is compared with the power generation efficiency evaluation coefficient interval corresponding to the operating mode of each generator set in the high-efficiency warning in the database. If the power generation efficiency evaluation coefficient corresponding to the area is within the power generation efficiency evaluation coefficient interval corresponding to the operating mode of a certain generator set in the high-efficiency warning in the database, the warning response parameters corresponding to the operating mode of the generator set in the high-efficiency warning in the database are used as the warning response parameters corresponding to the area.

[0021] In a second aspect, the present invention provides a device for simulating a digital attack and defense environment of a new energy station, including: an ocean dynamics parameter acquisition module: used to obtain the ocean dynamics parameters corresponding to each area in the target salinity gradient energy station at the current moment, and then analyze and obtain the ocean dynamics evaluation coefficient corresponding to each area in the target salinity gradient energy station, and determine whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted.

[0022] Judgment result warning module: when the power generation efficiency of a certain area in the target salinity gradient energy station needs to be adjusted, the power generation efficiency corresponding to the area in the target salinity gradient energy station is warned and responded to.

[0023] Climate condition assessment coefficient acquisition module: used to obtain the climate condition data corresponding to each area in the target salinity gradient energy station after the power generation efficiency corresponding to each area in the target salinity gradient energy station is processed for early warning response, and then analyze and obtain the power generation efficiency assessment coefficient corresponding to each area in the target salinity gradient energy station, and adjust the early warning response parameters corresponding to each area in the target salinity gradient energy station.

[0024] The beneficial effects of the present invention are: 1. In the embodiments of the present invention, the introduction of digital simulation methods can realize comprehensive monitoring and analysis of ocean dynamics and climate conditions, and provide managers with rich data support. These data not only help identify the changing trend of power generation efficiency, but also provide a scientific basis for the decision-making process. Managers can make more accurate and reasonable decisions based on the results of data analysis, thereby improving management level and decision-making efficiency. By real-time acquisition and analysis of ocean dynamic parameters, such as salinity, temperature and flow rate, as well as climate condition data, this method can quickly identify areas with low power generation efficiency under specific conditions. By dynamically adjusting power generation strategies, such as operating modes and loads, the working state of the generator set can be optimized to ensure that it operates under optimal conditions, thereby maximizing energy utilization efficiency. This efficient regulation can significantly increase overall power generation and reduce energy waste.

[0025] 2. In the embodiment of the present invention, the early warning mechanism can respond to environmental changes and equipment performance degradation in a timely manner. By monitoring and identifying potential risks, the system can quickly take measures, such as adjusting power generation strategies and allocating resources, when faced with reduced power generation efficiency, equipment failures, or extreme climate changes. This rapid response capability not only reduces potential power generation losses, but also enhances the stability and reliability of the system in a changing environment, improves the overall resilience of new energy sites, and significantly reduces the possibility of accidents through early warning of potential risks and the implementation of response measures. The real-time monitoring and feedback mechanism enables operators to respond quickly when problems arise, reduces the risk of equipment failure, and enhances emergency response capabilities. This improvement in safety not only protects the safety of equipment and personnel, but also helps maintain the normal operation of new energy sites.

[0026] 3. The embodiments of the present invention can more effectively allocate human, material and financial resources in the process of dynamically adjusting the power generation strategy. By analyzing the power generation efficiency and demand in different regions, managers can rationally allocate equipment and personnel to avoid unnecessary operating costs. Effective resource allocation not only improves work efficiency, but also ensures the rational use of various resources and reduces unnecessary waste. By optimizing power generation strategies and improving power generation efficiency, new energy stations can significantly reduce operating costs and improve economic benefits. Efficient resource utilization and power production will enhance the market competitiveness of new energy stations, enabling them to occupy a more advantageous position in the fierce energy market, thereby attracting more investment and support. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 The present invention is a flowchart of the steps for implementing the method.

[0029] Figure 2 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] Embodiments of the present invention Figure 1 As shown, a method for simulating a digital attack and defense environment of a new energy station includes: step one, obtaining ocean dynamic parameters: obtaining the ocean dynamic parameters corresponding to each area in the target salinity gradient energy station at the current moment, and then analyzing to obtain the ocean dynamic evaluation coefficient corresponding to each area in the target salinity gradient energy station, and judging whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted.

[0032] In a specific embodiment, the ocean dynamic parameters include water salinity intensity, water temperature and water flow velocity corresponding to each ocean gradient.

[0033] It should be noted that satellite remote sensing and aerial remote sensing technologies are used to obtain large-scale ocean data, and through remote sensing images and data processing, relevant ocean dynamic parameters are extracted, including: water salinity intensity, water temperature and water flow velocity corresponding to each ocean gradient.

[0034] In another specific embodiment, the analysis obtains the ocean dynamics assessment coefficient corresponding to each area in the target salinity gradient energy station. The specific analysis process is as follows: the water salinity intensity, water temperature and water flow velocity corresponding to each ocean gradient in each area are recorded as and Among them, h represents the number corresponding to each area, h = 1, 2...n, g represents the number corresponding to each ocean gradient, g = 1, 2...u, n is any integer greater than 2, u is any integer greater than 2, substitute into the calculation formula The ocean dynamics assessment coefficient α corresponding to each area in the target salinity gradient energy station is obtained h , where A′, B′, and C′ are the standard water salinity intensity, standard water temperature, and standard water flow velocity corresponding to the set ocean gradient, respectively; θ1, θ2, and θ3 are the weight factors corresponding to the set ocean gradient water salinity intensity, water temperature, and water flow velocity, respectively.

[0035] It should be noted that θ1, θ2, and θ3 are all greater than 0 and less than 1.

[0036] It should also be noted that through the summary of a large amount of research data and experimental data, the standard water salinity intensity, standard water temperature, and standard water flow velocity corresponding to the ocean gradient are set according to professional institutions and research institutions. At the same time, based on the professional knowledge and research basis of experts in the field, they are discussed and confirmed with industry organizations or professional institutions. Experts set the weight factors corresponding to the salinity intensity of the ocean gradient water body, the weight factors corresponding to the water temperature, and the weight factors corresponding to the water flow velocity based on their own experience and knowledge.

[0037] It should be noted once again that the standard water salinity intensity, standard water temperature, and standard water flow velocity are respectively the water salinity intensity threshold, water temperature threshold, and water flow velocity threshold. For example, the standard water salinity intensity is 35, the standard water temperature is 25, and the standard water flow velocity is 1.

[0038] In the embodiment of the present invention, the introduction of digital simulation methods can realize comprehensive monitoring and analysis of ocean dynamics and climate conditions, and provide managers with rich data support. These data not only help identify the changing trend of power generation efficiency, but also provide a scientific basis for the decision-making process. Managers can make more accurate and reasonable decisions based on the results of data analysis, thereby improving management level and decision-making efficiency. By real-time acquisition and analysis of ocean dynamic parameters, such as salinity, temperature and flow rate, as well as climate condition data, this method can quickly identify areas with low power generation efficiency under specific conditions. By dynamically adjusting power generation strategies, such as operating modes and loads, the working state of the generator set can be optimized to ensure that it operates under optimal conditions, thereby maximizing energy utilization efficiency. This efficient regulation can significantly increase overall power generation and reduce energy waste.

[0039] In another specific embodiment, the determination of whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted is performed as follows: Q1. Obtaining the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station from the database.

[0040] Q2. Compare the ocean dynamics assessment coefficient corresponding to a certain area in the target salinity gradient energy station with the standard ocean dynamics assessment coefficient range. If the ocean dynamics assessment coefficient corresponding to a certain area in the target salinity gradient energy station is within the standard ocean dynamics assessment coefficient, it is determined that the power generation efficiency of the area in the target salinity gradient energy station does not need to be adjusted. Conversely, if the ocean dynamics assessment coefficient corresponding to a certain area in the target salinity gradient energy station is not within the standard ocean dynamics assessment coefficient, it is determined that the power generation efficiency of the area in the target salinity gradient energy station needs to be adjusted. In this way, it is determined whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted.

[0041] In another specific embodiment, the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station is obtained, and the specific acquisition process is as follows: E1. Through the Meteorological and Oceanographic Bureau, ocean observation stations and satellite remote sensing, historical and real-time ocean dynamic parameter data are collected to obtain the power generation efficiency data of the target salinity gradient energy station under different ocean conditions, and the power generation efficiency of each region is recorded in combination with the corresponding ocean dynamic parameters.

[0042] E2. Clean and organize the collected data, remove outliers and missing values, standardize the data, ensure the comparability of data from different data sources, use statistical analysis methods to determine the relationship between ocean dynamic parameters and power generation efficiency, and identify the key ocean dynamic parameters that affect power generation efficiency.

[0043] E3. Based on the key ocean dynamic parameters that affect power generation efficiency, study power generation cases under different ocean conditions, extract successful and unsuccessful conditions, and use correlation analysis to determine which ocean dynamic parameters have the greatest impact on power generation efficiency. In this way, focus on the most important parameters and analyze the degree of influence of changes in each parameter on power generation efficiency to determine which parameter standard ranges require higher attention, thereby establishing the standard ocean dynamic assessment coefficient range for the target salinity gradient energy site.

[0044] E4. Determine the upper and lower limits of the standard ocean dynamics assessment coefficient to form an interval, set the reasonable range of water salinity intensity, water temperature and water flow velocity corresponding to each ocean gradient, and obtain the relationship between the typical ocean dynamics assessment coefficient and power generation efficiency through multiple experiments or simulations, so as to better formulate standards, use new real-time data to verify the standard ocean dynamics assessment coefficient interval, confirm its validity and accuracy, and determine the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station based on the verification results.

[0045] It should be noted that after determining the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station according to the verification results, the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station is input into the value database for storage.

[0046] Step 2: Early warning of judgment results: When the power generation efficiency of a certain area in the target salinity gradient energy station needs to be adjusted, an early warning response process is then carried out on the power generation efficiency corresponding to the area in the target salinity gradient energy station.

[0047] In a specific embodiment, the power generation efficiency corresponding to the area in the target salinity gradient energy station is subjected to early warning response processing, and the specific analysis process is as follows: W1. When the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted, if the ocean dynamics assessment coefficient corresponding to the area in the target salinity gradient energy station is less than the minimum value in the standard ocean dynamics assessment coefficient interval, an "inefficiency warning" is triggered; if the ocean dynamics assessment coefficient corresponding to the area is less than 10% of the minimum value in the standard ocean dynamics assessment coefficient interval, it is marked as a slight inefficiency warning and triggers one "inefficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is less than 20% of the minimum value in the standard ocean dynamics assessment coefficient interval, it is marked as a moderate inefficiency warning and triggers a second "inefficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is less than 30% or more of the minimum value in the standard ocean dynamics assessment coefficient interval, it is marked as a severe inefficiency warning and triggers three "inefficiency warnings".

[0048] W2. If the ocean dynamics assessment coefficient corresponding to the area in the target salinity gradient energy station is greater than the maximum value in the standard ocean dynamics assessment coefficient range, a "high-efficiency warning" is triggered; if the ocean dynamics assessment coefficient corresponding to the area is greater than 10% of the maximum value in the standard ocean dynamics assessment coefficient range, it is marked as a slight high-efficiency warning and triggers one "high-efficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is greater than 20% of the maximum value in the standard ocean dynamics assessment coefficient range, it is marked as a medium high-efficiency warning and triggers a second "high-efficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is greater than 30% or more of the maximum value in the standard ocean dynamics assessment coefficient range, it is marked as a severe high-efficiency warning and triggers three "high-efficiency warnings".

[0049] Step 3. Obtaining climate condition assessment coefficients: After the power generation efficiency corresponding to each area in the target salinity gradient energy station is processed for early warning response, the climate condition data corresponding to each area in the target salinity gradient energy station is obtained, and then the power generation efficiency assessment coefficients corresponding to each area in the target salinity gradient energy station are analyzed and the early warning response parameters corresponding to each area in the target salinity gradient energy station are adjusted.

[0050] In the embodiment of the present invention, the early warning mechanism can respond to environmental changes and equipment performance degradation in a timely manner. By monitoring and identifying potential risks, the system can quickly take measures, such as adjusting power generation strategies and allocating resources, when faced with reduced power generation efficiency, equipment failures, or extreme climate changes. This rapid response capability not only reduces potential power generation losses, but also enhances the stability and reliability of the system in a changing environment, improves the overall resilience of new energy sites, and significantly reduces the possibility of accidents through early warning of potential risks and the implementation of response measures. The real-time monitoring and feedback mechanism enables operators to respond quickly when problems arise, reduces the risk of equipment failure, and enhances emergency response capabilities. This improvement in safety not only protects the safety of equipment and personnel, but also helps maintain the normal operation of new energy sites.

[0051] In a specific embodiment, the climate condition data includes instantaneous wind speed, average tidal height difference and average wave height.

[0052] It should be noted that meteorological stations are deployed in each area of ​​the target salinity gradient energy station, equipped with anemometers to monitor the wind speed and direction in the air in real time. These devices can usually provide instantaneous wind speed data, and use tide level measuring instruments to monitor water level changes in real time. These data can provide information on the height difference of the tide, and wave measuring instruments are deployed to monitor the height and period of the waves in real time. Wave buoys usually provide information such as effective wave height (H_s).

[0053] In another specific embodiment, the analysis obtains the power generation efficiency evaluation coefficient corresponding to each area in the target salinity gradient energy station. The specific analysis process is as follows: the instantaneous wind speed, average tidal height difference and average wave height corresponding to each area are respectively recorded as D h 、F h and K h , where h represents the number corresponding to each area, h = 1, 2...n, n is any integer greater than 2, substitute into the calculation formula The power generation efficiency evaluation coefficient φ corresponding to each area in the target salinity gradient energy station is obtained h , where D′, F′, and K′ are the standard instantaneous wind speed, standard average tidal height difference, and standard average wave height corresponding to the set area, respectively; σ1, σ2, and σ3 are the weight factors corresponding to the instantaneous wind speed, the average tidal height difference, and the average wave height of the set area, respectively.

[0054] It should be noted that σ1, σ2, and σ3 are all greater than 0 and less than 1.

[0055] It should also be noted that through the summary of a large amount of research data and experimental data, the standard instantaneous wind speed, standard average tidal height difference, and standard average wave height corresponding to the region are set according to professional institutions and research institutions. At the same time, based on the professional knowledge and research basis of experts in the field, they are discussed and confirmed with industry organizations or professional institutions. Experts set the weight factors corresponding to the instantaneous wind speed of the region, the weight factors corresponding to the average tidal height difference, and the weight factors corresponding to the average wave height based on their own experience and knowledge.

[0056] It should be noted again that the standard instantaneous wind speed, the standard average tidal height difference, and the standard average wave height are the instantaneous wind speed threshold, the average tidal height difference threshold, and the average wave height threshold, respectively. For example, the standard instantaneous wind speed is 10, the standard average tidal height difference is 2, and the standard average wave height is 1.

[0057] In another specific embodiment, the early warning response parameters corresponding to each area in the target salinity gradient energy station are adjusted, and the specific analysis process is as follows: S1. If a certain area triggers an "inefficiency warning", the power generation efficiency evaluation coefficient corresponding to the area is compared with the power generation efficiency evaluation coefficient interval corresponding to the operating mode of each generator set in the inefficiency warning in the database. If the power generation efficiency evaluation coefficient corresponding to the area is within the power generation efficiency evaluation coefficient interval corresponding to the operating mode of a certain generator set in the inefficiency warning in the database, the early warning response parameters corresponding to the operating mode of the generator set in the inefficiency warning in the database are used as the early warning response parameters corresponding to the area.

[0058] S2. If a certain area triggers "high-efficiency warning", the power generation efficiency evaluation coefficient corresponding to the area is compared with the power generation efficiency evaluation coefficient interval corresponding to the operating mode of each generator set in the high-efficiency warning in the database. If the power generation efficiency evaluation coefficient corresponding to the area is within the power generation efficiency evaluation coefficient interval corresponding to the operating mode of a certain generator set in the high-efficiency warning in the database, the warning response parameters corresponding to the operating mode of the generator set in the high-efficiency warning in the database are used as the warning response parameters corresponding to the area.

[0059] The embodiments of the present invention can more effectively allocate human, material and financial resources in the process of dynamically adjusting the power generation strategy. By analyzing the power generation efficiency and demand in different regions, managers can rationally allocate equipment and personnel to avoid unnecessary operating costs. Effective resource allocation not only improves work efficiency, but also ensures the rational use of various resources and reduces unnecessary waste. By optimizing power generation strategies and improving power generation efficiency, new energy stations can significantly reduce operating costs and improve economic benefits. Efficient resource utilization and power production will enhance the market competitiveness of new energy stations, enabling them to occupy a more advantageous position in the fierce energy market, thereby attracting more investment and support.

[0060] Embodiments of the present invention Figure 2 As shown, a device for simulating a digital attack and defense environment of a new energy station includes: an ocean dynamics parameter acquisition module: used to obtain the ocean dynamics parameters corresponding to each area in the target salinity gradient energy station at the current moment, and then analyze and obtain the ocean dynamics evaluation coefficient corresponding to each area in the target salinity gradient energy station, and determine whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted.

[0061] Judgment result warning module: when the power generation efficiency of a certain area in the target salinity gradient energy station needs to be adjusted, the power generation efficiency corresponding to the area in the target salinity gradient energy station is warned and responded to.

[0062] Climate condition assessment coefficient acquisition module: used to obtain the climate condition data corresponding to each area in the target salinity gradient energy station after the power generation efficiency corresponding to each area in the target salinity gradient energy station is processed for early warning response, and then analyze and obtain the power generation efficiency assessment coefficient corresponding to each area in the target salinity gradient energy station, and adjust the early warning response parameters corresponding to each area in the target salinity gradient energy station.

[0063] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A method for simulating a digital attack and defense environment of a new energy station, characterized in that: include: Step 1: Acquisition of ocean dynamic parameters: Acquire the ocean dynamic parameters corresponding to each area in the target salinity gradient energy station at the current moment, and then analyze and obtain the ocean dynamic evaluation coefficient corresponding to each area in the target salinity gradient energy station, and determine whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted; Step 2: Early warning of the judgment result: when the power generation efficiency of a certain area in the target salinity gradient energy station needs to be adjusted, an early warning response process is then performed on the power generation efficiency corresponding to the area in the target salinity gradient energy station; Step 3. Obtaining climate condition assessment coefficients: After the power generation efficiency corresponding to each area in the target salinity gradient energy station is processed for early warning response, the climate condition data corresponding to each area in the target salinity gradient energy station is obtained, and then the power generation efficiency assessment coefficients corresponding to each area in the target salinity gradient energy station are analyzed and the early warning response parameters corresponding to each area in the target salinity gradient energy station are adjusted.

2. A method for simulating a digital attack and defense environment of a new energy station as claimed in claim 1, characterized in that: The ocean dynamics parameters include water salinity intensity, water temperature and water flow velocity corresponding to each ocean gradient.

3. A method for simulating a digital attack and defense environment of a new energy station as claimed in claim 2, characterized in that: The analysis obtains the ocean dynamics assessment coefficients corresponding to each area in the target salinity gradient energy station. The specific analysis process is as follows: The water salinity intensity, water temperature and water flow velocity corresponding to each ocean gradient in each region are respectively recorded as and Among them, h represents the number corresponding to each area, h = 1, 2...n, g represents the number corresponding to each ocean gradient, g = 1, 2...u, n is any integer greater than 2, u is any integer greater than 2, substitute into the calculation formula The ocean dynamics assessment coefficient α corresponding to each area in the target salinity gradient energy station is obtained h , where A′, B′, and C′ are the standard water salinity intensity, standard water temperature, and standard water flow velocity corresponding to the set ocean gradient, respectively; θ1, θ2, and θ3 are the weight factors corresponding to the set ocean gradient water salinity intensity, water temperature, and water flow velocity, respectively.

4. A method for simulating a digital attack and defense environment of a new energy station as claimed in claim 3, characterized in that: The specific judgment process of judging whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted is as follows: Q1. Obtain the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station from the database; Q2. Compare the ocean dynamics assessment coefficient corresponding to a certain area in the target salinity gradient energy station with the standard ocean dynamics assessment coefficient range. If the ocean dynamics assessment coefficient corresponding to a certain area in the target salinity gradient energy station is within the standard ocean dynamics assessment coefficient, it is determined that the power generation efficiency of the area in the target salinity gradient energy station does not need to be adjusted. Conversely, if the ocean dynamics assessment coefficient corresponding to a certain area in the target salinity gradient energy station is not within the standard ocean dynamics assessment coefficient, it is determined that the power generation efficiency of the area in the target salinity gradient energy station needs to be adjusted. In this way, it is determined whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted.

5. A method for simulating a digital attack and defense environment of a new energy station as claimed in claim 4, characterized in that: The specific acquisition process of obtaining the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station is as follows: E1. Collect historical and real-time ocean dynamic parameter data through the Meteorological and Oceanographic Bureau, ocean observation stations and satellite remote sensing, obtain the power generation efficiency data of the target salinity gradient energy station under different ocean conditions, and record the data combining the power generation efficiency of each area with the corresponding ocean dynamic parameters; E2. Clean and organize the collected data, remove outliers and missing values, standardize the data, ensure the comparability of data from different data sources, use statistical analysis methods to determine the relationship between ocean dynamic parameters and power generation efficiency, and identify the key ocean dynamic parameters that affect power generation efficiency; E3. Based on the key ocean dynamic parameters that affect power generation efficiency, study power generation cases under different ocean conditions, extract successful and unsuccessful conditions, and use correlation analysis to determine which ocean dynamic parameters have the greatest impact on power generation efficiency, so as to focus on the most important parameters and analyze the impact of changes in each parameter on power generation efficiency to determine which parameter standard ranges require higher attention, thereby establishing standard ocean dynamic assessment coefficient ranges for target salinity gradient energy sites; E4. Determine the upper and lower limits of the standard ocean dynamics assessment coefficient to form an interval, set the reasonable range of water salinity intensity, water temperature and water flow velocity corresponding to each ocean gradient, and obtain the relationship between the typical ocean dynamics assessment coefficient and power generation efficiency through multiple experiments or simulations, so as to better formulate standards, use new real-time data to verify the standard ocean dynamics assessment coefficient interval, confirm its validity and accuracy, and determine the standard ocean dynamics assessment coefficient interval corresponding to the target salinity gradient energy station based on the verification results.

6. A method for simulating a digital attack and defense environment of a new energy station as claimed in claim 5, characterized in that: The specific analysis process of the early warning response process for the power generation efficiency corresponding to the area in the target salinity gradient energy station is as follows: W1. When the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted, if the ocean dynamics assessment coefficient corresponding to the area in the target salinity gradient energy station is less than the minimum value in the standard ocean dynamics assessment coefficient range, the "inefficiency warning" is triggered; if the ocean dynamics assessment coefficient corresponding to the area is less than 10% of the minimum value in the standard ocean dynamics assessment coefficient range, it is marked as a slight inefficiency warning and triggers a "inefficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is less than 20% of the minimum value in the standard ocean dynamics assessment coefficient range, it is marked as a moderate inefficiency warning and triggers a second "inefficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is less than 30% or more of the minimum value in the standard ocean dynamics assessment coefficient range, it is marked as a serious inefficiency warning and triggers three "inefficiency warnings"; W2. If the ocean dynamics assessment coefficient corresponding to the area in the target salinity gradient energy station is greater than the maximum value in the standard ocean dynamics assessment coefficient range, a "high-efficiency warning" is triggered; if the ocean dynamics assessment coefficient corresponding to the area is greater than 10% of the maximum value in the standard ocean dynamics assessment coefficient range, it is marked as a slight high-efficiency warning and triggers one "high-efficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is greater than 20% of the maximum value in the standard ocean dynamics assessment coefficient range, it is marked as a moderate high-efficiency warning and triggers a second "high-efficiency warning"; if the ocean dynamics assessment coefficient corresponding to the area is greater than 30% or more of the maximum value in the standard ocean dynamics assessment coefficient range, it is marked as a severe high-efficiency warning and triggers three "high-efficiency warnings".

7. A method for simulating a digital attack and defense environment of a new energy station as claimed in claim 1, characterized in that: The climate condition data include instantaneous wind speed, average tidal height difference and average wave height.

8. A method for simulating a digital attack and defense environment of a new energy station as claimed in claim 7, characterized in that: The analysis obtains the power generation efficiency evaluation coefficient corresponding to each area in the target salinity gradient energy station. The specific analysis process is as follows: The instantaneous wind speed, average tidal height difference and average wave height corresponding to each area are denoted as D h 、F h and K h , where h represents the number corresponding to each area, h = 1, 2...n, n is any integer greater than 2, substitute into the calculation formula The power generation efficiency evaluation coefficient φ corresponding to each area in the target salinity gradient energy station is obtained h , where D′, F′, and K′ are the standard instantaneous wind speed, standard average tidal height difference, and standard average wave height corresponding to the set area, respectively; σ1, σ2, and σ3 are the weight factors corresponding to the instantaneous wind speed, the average tidal height difference, and the average wave height of the set area, respectively.

9. A method for simulating a digital attack and defense environment of a new energy station as claimed in claim 8, characterized in that: The warning response parameters corresponding to each area in the target salinity gradient energy station are adjusted, and the specific analysis process is as follows: S1. If an area triggers "inefficiency warning", the power generation efficiency evaluation coefficient corresponding to the area is compared with the power generation efficiency evaluation coefficient interval corresponding to the operation mode of each generator set in the inefficiency warning in the database. If the power generation efficiency evaluation coefficient corresponding to the area is within the power generation efficiency evaluation coefficient interval corresponding to the operation mode of a generator set in the inefficiency warning in the database, the warning response parameter corresponding to the operation mode of the generator set in the inefficiency warning in the database is used as the warning response parameter corresponding to the area; S2. If a certain area triggers "high-efficiency warning", the power generation efficiency evaluation coefficient corresponding to the area is compared with the power generation efficiency evaluation coefficient interval corresponding to the operating mode of each generator set in the high-efficiency warning in the database. If the power generation efficiency evaluation coefficient corresponding to the area is within the power generation efficiency evaluation coefficient interval corresponding to the operating mode of a certain generator set in the high-efficiency warning in the database, the warning response parameters corresponding to the operating mode of the generator set in the high-efficiency warning in the database are used as the warning response parameters corresponding to the area.

10. A device for simulating the digital attack and defense environment of a new energy station for executing the method for simulating the digital attack and defense environment of a new energy station according to any one of claims 1 to 9, characterized in that: include: Ocean dynamics parameter acquisition module: used to obtain the ocean dynamics parameters corresponding to each area in the target salinity gradient energy station at the current moment, and then analyze and obtain the ocean dynamics evaluation coefficient corresponding to each area in the target salinity gradient energy station, and determine whether the power generation efficiency of each area in the target salinity gradient energy station needs to be adjusted; Judgment result warning module: when the power generation efficiency of a certain area in the target salinity gradient energy station needs to be adjusted, the power generation efficiency corresponding to the area in the target salinity gradient energy station is warned and responded to; Climate condition assessment coefficient acquisition module: used to obtain the climate condition data corresponding to each area in the target salinity gradient energy station after the power generation efficiency corresponding to each area in the target salinity gradient energy station is processed for early warning response, and then analyze and obtain the power generation efficiency assessment coefficient corresponding to each area in the target salinity gradient energy station, and adjust the early warning response parameters corresponding to each area in the target salinity gradient energy station.

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