A method and device for locating a new energy power supply station

Abstract

The present invention discloses a method and device for site selection of a new energy power supply station. The present invention detects terrain parameter data, environmental constraint information and tidal information corresponding to each pre-selected offshore area, obtains terrain parameter compliance ratio coefficients, environmental constraint information compliance ratio coefficients and tidal information compliance ratio coefficients corresponding to each pre-selected offshore area, and simultaneously analyzes the comprehensive information compliance coefficients corresponding to each pre-selected offshore area, arranges them in descending order according to the comprehensive information compliance coefficients, and displays them in sequence, thereby realizing a comprehensive analysis of multiple factors of the pre-selected offshore area, improving the rationality and authenticity of the site selection results of the tidal power supply station, further effectively avoiding problems that have not been discovered in the actual construction of the tidal power supply station in the later stage, ensuring the safe and stable operation of the tidal power supply station in the later stage, and then improving the power supply and investment efficiency of the tidal power supply station.

Description

Technical Field

[0001] The present invention relates to the field of new energy power supply station site selection, and relates to a new energy power supply station site selection method and device. Background Art

[0002] With the increasingly serious problem of energy shortage, tidal energy, as a renewable new energy, has attracted people's attention. Tidal energy has broad economic prospects in many fields such as alleviating resource crises, protecting the marine ecosystem, and overcoming power shortages in remote islands. Therefore, reasonable site selection is the prerequisite for the development of tidal power supply stations and is also an important problem.

[0003] The existing tidal power supply station site selection methods generally use evaluators to conduct evaluation and site selection. The specific evaluation method is as follows: The evaluators conduct on-site inspections of the tidal information of the preselected areas and subjectively score according to the tidal information of the preselected areas. This method not only has strong subjectivity and one-sidedness, but also cannot use scientific actual inspection data and processing methods to conduct qualitative and quantitative combined analysis and evaluation, resulting in the lack of practicality and guidance of the site selection results of the tidal power supply stations by the evaluators. Further, the actual use effect of the later tidal power supply stations fails to meet the expectations, and thus the basic needs of the corresponding service population of the tidal power supply stations cannot be met.

[0004] The existing tidal power supply station site selection methods only conduct single analysis on the tidal information of the preselected areas, without considering the influence of regional topography and regional environment on the site selection of tidal power supply stations, thus unable to conduct comprehensive analysis of multiple factors in the preselected areas, resulting in a certain impact on the site selection results of tidal power supply stations. There are problems that cannot be discovered in the actual construction of the later tidal power supply stations, further unable to ensure the safe and stable operation of the later tidal power supply stations, and thus affecting the power supply and investment benefits of the tidal power supply stations. Summary of the Invention

[0005] In view of this, to solve the problems raised in the above background art, a new energy power supply station site selection method and device are proposed.

[0006] To achieve the above object, in a first aspect, the present invention provides a new energy power supply station site selection method, including the following steps:

[0007] S1. Numbering of preselected coastal areas: Denote each coastal area where a tidal power supply station is to be preselected as each preselected coastal area, and sequentially number each preselected coastal area as 1, 2,..., i,..., n according to a preset order;

[0008] S2. Detection of regional terrain parameter data: Detect the terrain parameter data corresponding to each preselected coastal area, where the terrain parameter data includes coastline straightness, seabed terrain type, offshore distance, and average seawater depth;

[0009] S3. Analysis of regional terrain parameter data: Based on the terrain parameter data corresponding to each preselected offshore area, analyze to obtain the compliance proportionality coefficient of the terrain parameters corresponding to each preselected offshore area;

[0010] S4. Acquisition of regional environmental constraint information: Obtain the environmental constraint information corresponding to each preselected offshore area, where the environmental constraint information includes seabed soil environmental parameters and seawater ecological environmental parameters;

[0011] S5. Analysis of regional environmental constraint information: Analyze the environmental constraint information corresponding to each preselected offshore area to obtain the compliance proportionality coefficient of the environmental constraint information corresponding to each preselected offshore area;

[0012] S6. Monitoring of regional tidal information: Monitor the tidal information of each preselected offshore area on each collection day within a preset period to obtain the tidal wave period, effective tidal wave height, and effective tidal wave direction of each preselected offshore area on each collection day within the preset period;

[0013] S7. Analysis of tidal information compliance proportionality coefficient: Analyze the tidal wave period, effective tidal wave height, and effective tidal wave direction of each preselected offshore area on each collection day within a preset period to obtain the compliance proportionality coefficient of the tidal information corresponding to each preselected offshore area;

[0014] S8. Screening of preselected offshore areas: Analyze the comprehensive information compliance coefficient corresponding to each preselected offshore area, arrange them in descending order according to the comprehensive information compliance coefficient, and display them in sequence.

[0015] As a preferred solution, in step S2, when monitoring the terrain parameter data corresponding to each preselected offshore area, the specific monitoring method is as follows:

[0016] Collect the coastline images corresponding to each preselected offshore area to obtain the coastline contour graphics corresponding to each preselected offshore area, and analyze the coastline contour graphics corresponding to each preselected offshore area to obtain the coastline straightness corresponding to each preselected offshore area, and mark it as w i 1 , i = 1, 2,..., n, where i represents the number of the i-th preselected offshore area;

[0017] Perform three-dimensional scanning on the seabed terrain corresponding to each preselected offshore area to obtain the seabed terrain type corresponding to each preselected offshore area;

[0018] Detect the straight-line distance from the center point position of each preselected offshore area to the coastline, and record the straight-line distance from the center point position of each preselected offshore area to the coastline as the offshore distance corresponding to each preselected offshore area, and mark it as w i 2 ;

[0019] Detect the seawater depth at each detection point in each preselected offshore area, obtain the average seawater depth corresponding to each preselected offshore area through the average calculation method, and mark it as w i 3 。

[0020] As a preferred solution, the topographic parameter compliance ratio analysis method corresponding to each preselected offshore area in step S3 is as follows:

[0021] Extract the tidal power station establishment compliance weight index corresponding to each type of seabed topography stored in the power supply station data repository, extract the seabed topography type corresponding to each preselected offshore area, screen to obtain the tidal power station establishment compliance weight index corresponding to each preselected offshore area, and mark it as φ i ;

[0022] Extract the shoreline straightness w corresponding to each preselected offshore area i 1 、offshore distance w i 2 and average seawater depth w i 3 ,analyze to obtain the topographic parameter compliance ratio corresponding to each preselected offshore area where δ 1 、δ 2 、δ 3 respectively represent the tidal power station establishment compliance weight index corresponding to the preset shoreline straightness, offshore distance, and seawater depth, W′ 2 and W′ 3 respectively represent the standard offshore distance and standard seawater depth corresponding to the tidal power station establishment area stored in the power supply station data repository, ΔW″ 2 represents the preset allowable error value of the offshore distance, and e represents the natural constant.

[0023] As a preferred solution, in step S4, obtain the seabed soil environment parameters corresponding to each preselected offshore area, and the specific obtaining method includes:

[0024] Divide the seabed soil area corresponding to each preselected offshore area according to the equal-area division method to obtain each seabed soil sub-area corresponding to each preselected offshore area, sample the soil of each seabed soil sub-area corresponding to each preselected offshore area to obtain the soil samples of each seabed soil sub-area corresponding to each preselected offshore area, identify and analyze the proportion of each type of soil in the soil samples of each seabed soil sub-area corresponding to each preselected offshore area, and mark the proportion of each type of soil in the soil samples of each seabed soil sub-area corresponding to each preselected offshore area as k ir a, r = 1, 2, ..., u, where r represents the number of the r-th sub-region of the seabed soil, a = a 1 or a 2 , a 1 、a 2 respectively represent sandy soil and silt soil;

[0025] The soil softness at the center point of each sub-region of the seabed soil corresponding to each preselected offshore area is monitored by a soil softness measuring instrument, and the soil softness at the center point of each sub-region of the seabed soil corresponding to each preselected offshore area is obtained, and it is marked as q ir .

[0026] As a preferred solution, in step S4, obtaining the seawater ecological environment parameters corresponding to each preselected offshore area, the specific obtaining method includes:

[0027] The seawater areas corresponding to each preselected offshore area are divided according to the spatial grid division method to obtain each seawater sub-region corresponding to each preselected offshore area, and each seawater sub-region corresponding to each preselected offshore area is monitored to obtain the number and average size of various marine organisms in each seawater sub-region corresponding to each preselected offshore area. The number and average size of various marine organisms in each seawater sub-region corresponding to each preselected offshore area are respectively marked as q if b 1 c and where f = 1, 2, ..., v, f represents the number of the f-th seawater sub-region, and c = 1, 2, ..., s, c represents the number of the c-th marine organism.

[0028] As a preferred solution, the specific steps corresponding to step S5 are as follows:

[0029] Extract the softness influence factors corresponding to each type of seabed soil stored in the power supply station data repository, and according to the proportion of each type of soil in the soil samples of each sub-region of the seabed soil corresponding to each preselected offshore area and the soil softness at the center point of each sub-region of the seabed soil, analyze and obtain the weight index of the seabed soil environment parameters corresponding to each preselected offshore area, and mark it as ψ i 1 ;

[0030] According to the number and average size of various marine organisms in each seawater sub-region corresponding to each preselected offshore area, analyze the weight index of the seawater ecological environment parameters corresponding to each preselected offshore area where η represents the preset compensation index of the seawater ecological environment parameters, V i represents the volume of the seawater sub-region after the division of the i-th preselected offshore area, ρ 预Denoted as the suitable survival density of marine organisms in a preset marine ecological environment;

[0031] Making the seabed soil environment parameters corresponding to each preselected offshore area conform to the weight index ψ i 1 and the seawater ecological environment parameters conform to the weight index ψ i 2 Substituting into the formula Obtaining the compliance ratio coefficient of the environmental constraint information corresponding to each preselected offshore area where γ 1 and γ 2 Respectively denote the compliance impact factors corresponding to the preset seabed soil environment and seawater ecological environment.

[0032] As a preferred solution, in step S6, monitoring the tidal information of each preselected offshore area on each collection day within a preset period specifically includes:

[0033] Monitoring the flood wave period, the wave height of each flood wave, and the wave direction of each flood wave corresponding to each preselected offshore area on each collection day within a preset period, and processing the wave height of each flood wave and the wave direction of each flood wave corresponding to each preselected offshore area on each collection day within a preset period to obtain the effective flood wave height and the effective flood wave direction corresponding to each preselected offshore area on each collection day within a preset period, and respectively marking the flood wave period and the effective flood wave height corresponding to each preselected offshore area on each collection day within a preset period as T ix 1 and H ix 1 , where x = 1, 2,..., y, and x represents the number of the xth collection day within a preset period;

[0034] Monitoring the ebb wave period, the wave height of each ebb wave, and the wave direction of each ebb wave corresponding to each preselected offshore area on each collection day within a preset period, processing to obtain the effective ebb wave height and the effective ebb wave direction corresponding to each preselected offshore area on each collection day within a preset period, and respectively marking the ebb wave period and the effective ebb wave height corresponding to each preselected offshore area on each collection day within a preset period as T ix 2 and H ix 2 .

[0035] As a preferred solution, in step S7, analyzing the compliance ratio coefficient of the tidal information corresponding to each preselected offshore area, the specific analysis includes:

[0036] Making the flood wave period T ix 1 and the effective flood wave height H corresponding to each preselected offshore area on each collection day within a preset periodix 1 Substitute into the formula to obtain the flood tide wave power density value ω corresponding to each collection day within the preset period for each preselected offshore area ix , where ρ 海水 represents the seawater density, g represents the acceleration due to gravity of the earth, and π represents the pi; similarly, analyze and obtain the ebb tide wave power density value ω' corresponding to each collection day within the preset period for each preselected offshore area ix ;

[0037] According to the effective flood tide wave direction and the effective ebb tide wave direction of each collection day within the preset period for each preselected offshore area, obtain the included angle between the effective flood tide wave direction and the effective ebb tide wave direction of each collection day within the preset period for each preselected offshore area, and denote it as the tidal wave direction included angle of each collection day within the preset period for each preselected offshore area, and mark it as θ ix ;

[0038] Analyze the tidal information compliance proportionality coefficient corresponding to each preselected offshore area where represents the tidal information compliance proportionality coefficient corresponding to the i-th preselected offshore area, λ 1 , λ 2 respectively represent the compliance influence factors corresponding to the preset tidal wave power density value and the tidal wave direction included angle, y represents the number of collection days in the preset period, ω' 预 represents the preset tidal wave power density value threshold, and Δθ' represents the preset tidal wave direction included angle threshold.

[0039] As a preferred solution, the analysis formula for the comprehensive information compliance coefficient corresponding to each preselected offshore area in step S8 is where Ψ i represents the comprehensive information compliance coefficient corresponding to the i-th preselected offshore area, χ 1 , χ 2 , χ 3 respectively represent the compliance weight factors corresponding to the preset terrain parameter data, environmental constraint information, and tidal information, and χ 1 +χ 2 +χ 3 = 1.

[0040] In a second aspect, the present invention also provides a new energy power supply station site selection device, including: a processor, and a memory and a network interface connected to the processor; the network interface is connected to the non-volatile memory in the server; when running, the processor retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute a new energy power supply station site selection method of the present invention.

[0041] Compared with the prior art, the new energy power supply station site selection method and device of the present invention have the following beneficial effects:

[0042] The present invention detects the terrain parameter data, environmental constraint information, and tidal information corresponding to each preselected offshore area, obtains the terrain parameter compliance ratio coefficient, environmental constraint information compliance ratio coefficient, and tidal information compliance ratio coefficient corresponding to each preselected offshore area, and at the same time analyzes the comprehensive information compliance coefficient corresponding to each preselected offshore area. They are arranged in descending order according to the comprehensive information compliance coefficient and displayed in sequence, so as to realize the comprehensive analysis of multiple factors for the preselected offshore areas, improve the rationality and authenticity of the tidal power station site selection results, further effectively avoid problems that are not discovered during the actual construction of the later tidal power station, ensure the safe and stable operation of the later tidal power station, and thus improve the power supply capacity and investment benefits of the tidal power station.

[0043] The present invention monitors the tidal information of each preselected offshore area on each collection day within a preset period, obtains the tidal wave period, effective tidal wave height, and effective tidal wave direction of each preselected offshore area on each collection day within the preset period, and analyzes to obtain the tidal information compliance ratio coefficient corresponding to each preselected offshore area, thereby breaking the subjectivity and one-sidedness problems existing in the existing methods, being able to realize a qualitative and quantitative combined analysis and evaluation using scientific actual survey data and processing methods for operation, and thus improving the practicality and guidance of the tidal power station site selection results, further ensuring that the actual use effect of the later tidal power station meets the expectations and satisfies the basic needs of the service population corresponding to the tidal power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0045] Figure 1 It is a schematic flowchart of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0047] Please refer to Figure 1As shown in the figure, the first aspect of the present invention provides a method for selecting a location for a new energy power supply station, including the following steps:

[0048] S1. Preselect offshore area numbers: Denote each offshore area where a tidal power station is preselected to be built as each preselected offshore area, and sequentially number each preselected offshore area as 1, 2,..., i,..., n in a preset order.

[0049] S2. Detect regional terrain parameter data: Detect the terrain parameter data corresponding to each preselected offshore area, where the terrain parameter data includes coastline straightness, seabed terrain type, offshore distance, and average seawater depth.

[0050] Based on the above embodiment, in step S2, when monitoring the terrain parameter data corresponding to each preselected offshore area, the specific monitoring method is as follows:

[0051] Collect the coastline images corresponding to each preselected offshore area through a high-definition camera carried on a drone, obtain the coastline contour graphics corresponding to each preselected offshore area, and analyze the coastline contour graphics corresponding to each preselected offshore area to obtain the coastline straightness corresponding to each preselected offshore area, and mark it as w i 1 , i = 1, 2,..., n, where i represents the number of the i-th preselected offshore area;

[0052] Perform three-dimensional scanning of the seabed terrain corresponding to each preselected offshore area through an underwater terrain detector, construct a three-dimensional seabed terrain model corresponding to each preselected offshore area, compare the three-dimensional seabed terrain model corresponding to each preset offshore area with the corresponding standard three-dimensional models of various types of seabed terrain, count the similarity between the three-dimensional seabed terrain model corresponding to each preselected offshore area and the corresponding standard three-dimensional models of various types of seabed terrain, screen the type of seabed terrain with the highest similarity of the three-dimensional seabed terrain model corresponding to each preselected offshore area, and denote it as the seabed terrain type corresponding to each preselected offshore area;

[0053] Hover the drone at the center point position corresponding to each preselected offshore area, and detect the straight-line distance from the center point position corresponding to each preselected offshore area to the coastline through a sonic rangefinder carried on the drone. Denote the straight-line distance from the center point position corresponding to each preselected offshore area to the coastline as the offshore distance corresponding to each preselected offshore area, and mark it as w i 2 ;

[0054] Several detection points are arranged in each pre-selected offshore area in a uniform manner, and the number of detection points arranged in each pre-selected offshore area is the same. The seawater depth at each detection point in each pre-selected offshore area is detected by a sonar detector, and the average seawater depth corresponding to each pre-selected offshore area is obtained by average calculation, and marked as w i 3 .

[0055] As a specific embodiment of the present invention, the method for obtaining the straightness of the coastline corresponding to each pre-selected offshore area is as follows:

[0056] The coastline contour figures corresponding to each pre-selected offshore area are divided according to the monotonic division method to obtain the coastline contour figures of each section in each pre-selected offshore area. According to the coastline contour figures of each section in each pre-selected offshore area, the total contour length, the vertical distance between the highest position and the lowest position, and the horizontal distance between the highest position and the lowest position corresponding to the coastline contour figures of each section in each pre-selected offshore area are obtained. The coastline straightness index analysis formula is used Get the coastline straightness index w corresponding to each coastline contour image in each pre-selected offshore area ij 1 , where α 1 , α 2 They are respectively expressed as the influence weight factors corresponding to the preset coastline contour length and coastline contour steepness, L ij d ij 垂直 d ij 水平 They are respectively represented as the total contour length, the vertical distance between the highest position and the lowest position, and the horizontal distance between the highest position and the lowest position corresponding to the jth coastline contour image in the ith pre-selected offshore area, and the coastline straightness corresponding to each pre-selected offshore area is obtained by analysis. Where m represents the total number of divided coastline contour segments.

[0057] S3. Regional terrain parameter data analysis: Based on the terrain parameter data corresponding to each pre-selected offshore area, the terrain parameter corresponding to each pre-selected offshore area is analyzed to obtain a proportionality coefficient.

[0058] On the basis of the above-mentioned embodiment, the terrain parameters corresponding to each pre-selected offshore area in step S3 are analyzed in accordance with the proportionality coefficient as follows:

[0059] Extract the tidal power supply station corresponding to each type of seabed terrain stored in the power supply station data repository to establish a weight index, and extract the seabed terrain type corresponding to each pre-selected offshore area, screen out the tidal power supply station corresponding to each pre-selected offshore area to establish a weight index, and mark it as φ i ;

[0060] Extract the shoreline straightness w corresponding to each preselected offshore area i 1 and the offshore distance w i 2 and the average seawater depth w i 3 and analyze to obtain the terrain parameter compliance proportionality coefficient corresponding to each preselected offshore area where δ 1 、δ 2 、δ 3 respectively represent the tidal power station establishment compliance weight indices corresponding to the preset shoreline straightness, offshore distance, and seawater depth, W′ 2 and W′ 3 respectively represent the standard offshore distance and standard seawater depth corresponding to the establishment area of the tidal power station stored in the power station data repository, ΔW″ 2 represents the preset allowable error value of the offshore distance, and e represents the natural constant.

[0061] S4. Obtain regional environmental constraint information: Obtain the environmental constraint information corresponding to each preselected offshore area, where the environmental constraint information includes submarine soil environmental parameters and seawater ecological environmental parameters.

[0062] Based on the above embodiments, in step S4, obtaining the submarine soil environmental parameters corresponding to each preselected offshore area, the specific obtaining method includes:[[]]

[0063] Divide the submarine soil areas corresponding to each preselected offshore area according to the equal-area division method to obtain each submarine soil sub-area corresponding to each preselected offshore area, and take samples of the soil in each submarine soil sub-area corresponding to each preselected offshore area to obtain soil samples of each submarine soil sub-area corresponding to each preselected offshore area. Identify and analyze the proportion of each type of soil in the soil samples of each submarine soil sub-area corresponding to each preselected offshore area, and mark the proportion of each type of soil in the soil samples of each submarine soil sub-area corresponding to each preselected offshore area as k ir a , r = 1, 2,..., u, r represents the number of the rth submarine soil sub-area, a = a 1 or a 2 , a 1 、a 2 respectively represent sandy soil and silt soil;

[0064] Monitor the soil softness at the center point of each submarine soil sub-area corresponding to each preselected offshore area through a soil softness measuring instrument to obtain the soil softness at the center point of each submarine soil sub-area corresponding to each preselected offshore area, and mark it as q ir .

[0065] As a specific embodiment of the present invention, the analysis method for the proportion of each type of soil in the soil samples of each sub-region of the seabed soil corresponding to each preselected offshore area is as follows:

[0066] Based on the soil samples of each sub-region of the seabed soil corresponding to each preselected offshore area, identify the volume of each type of soil in the soil samples of each sub-region of the seabed soil corresponding to each preselected offshore area, and compare the volume of each type of soil in the soil samples of each sub-region of the seabed soil corresponding to each preselected offshore area with the total soil volume of its corresponding soil sample to obtain the proportion of each type of soil in the soil samples of each sub-region of the seabed soil corresponding to each preselected offshore area.

[0067] On the basis of the above embodiment, the specific acquisition method for obtaining the seawater ecological environment parameters corresponding to each preselected offshore area in step S4 includes:

[0068] Divide the seawater area corresponding to each preselected offshore area according to the spatial grid division method to obtain each seawater sub-region corresponding to each preselected offshore area, and monitor each seawater sub-region corresponding to each preselected offshore area to obtain the quantity and average size of various marine organisms in each seawater sub-region corresponding to each preselected offshore area, and mark the quantity and average size of various marine organisms in each seawater sub-region corresponding to each preselected offshore area as and where f = 1, 2,..., v, f represents the number of the f-th seawater sub-region, and c = 1, 2,..., s, c represents the number of the c-th type of marine organism.

[0069] S5. Analysis of regional environmental constraint information: Analyze the environmental constraint information corresponding to each preselected offshore area and analyze the compliance proportionality coefficient of the environmental constraint information corresponding to each preselected offshore area.

[0070] On the basis of the above embodiment, the specific steps corresponding to step S5 are as follows:

[0071] Extract the softness influence factors corresponding to each type of seabed soil stored in the power supply station data repository, and analyze the compliance weight index of the seabed soil environmental parameters corresponding to each preselected offshore area according to the proportion of each type of soil in the soil samples of each sub-region of the seabed soil corresponding to each preselected offshore area and the soil softness at the center point of each sub-region of the seabed soil where u represents the number of divided sub-regions of the seabed soil, q 安全 represents the safe softness of the seabed soil corresponding to the preset tidal power supply station establishment area, respectively represent the softness influence factors corresponding to sandy soil and silt soil types, and respectively represent the proportion of sandy soil and silt soil in the soil samples of the r-th sub-region of the seabed soil corresponding to the i-th preselected offshore area;

[0072] According to the quantity and average size of various marine organisms in each seawater sub-region corresponding to each preselected offshore area, analyze whether the seawater ecological environment parameters corresponding to each preselected offshore area conform to the weight index where η represents the preset compensation index of seawater ecological environment parameters, and V i represents the volume of the seawater sub-region after the i-th preselected offshore area is divided, and ρ 预 represents the suitable survival density of marine organisms in the preset seawater ecological environment;

[0073] Make the seabed soil environment parameters corresponding to each preselected offshore area conform to the weight index ψ i 1 and the seawater ecological environment parameter compliance weight index ψ i 2 Substitute into the formula to obtain the compliance proportional coefficient of the environmental constraint information corresponding to each preselected offshore area where γ 1 and γ 2 respectively represent the compliance influence factors corresponding to the preset seabed soil environment and seawater ecological environment.

[0074] S6. Regional tide information monitoring: Monitor the tide information of each preselected offshore area on each collection day within a preset period, and obtain the tide wave period, effective tide wave height, and effective tide wave direction of each preselected offshore area on each collection day within the preset period.

[0075] Based on the above embodiments, the monitoring of the tide information of each preselected offshore area on each collection day within a preset period in step S6 specifically includes:

[0076] Monitor the flood tide wave period, the wave height of each flood tide wave, and the wave direction of each flood tide wave corresponding to each preselected offshore area on each collection day within a preset period, and process the wave height of each flood tide wave and the wave direction of each flood tide wave corresponding to each preselected offshore area on each collection day within a preset period to obtain the effective flood tide wave height and effective flood tide wave direction corresponding to each preselected offshore area on each collection day within the preset period. Mark the flood tide wave period and effective flood tide wave height corresponding to each preselected offshore area on each collection day within the preset period as T ix 1 and H ix 1 , where x = 1, 2,..., y, and x represents the number of the x-th collection day within the preset period;

[0077] Monitor the ebb wave periods, wave heights, and wave directions of each ebb wave corresponding to each collection day within a preset period for each preselected offshore area, and process to obtain the effective ebb wave heights and effective ebb wave directions corresponding to each collection day within the preset period for each preselected offshore area. Mark the ebb wave periods and effective ebb wave heights corresponding to each collection day within the preset period for each preselected offshore area as T ix 2 and H ix 2 。

[0078] As a specific embodiment of the present invention, the method for obtaining the effective flood wave heights corresponding to each collection day within the preset period for each preselected offshore area is as follows:

[0079] Average the wave heights of each flood wave corresponding to each collection day within the preset period for each preselected offshore area to obtain the average flood wave heights corresponding to each collection day within the preset period for each preselected offshore area. Screen the flood waves higher than the average flood wave height among each collection day within the preset period for each preselected offshore area, and mark them as the marked flood waves corresponding to each collection day within the preset period for each preselected offshore area. Extract the wave heights of the marked flood waves corresponding to each collection day within the preset period for each preselected offshore area, and obtain the effective flood wave heights corresponding to each collection day within the preset period for each preselected offshore area through the average value calculation formula.

[0080] As a specific embodiment of the present invention, the method for obtaining the effective flood wave directions corresponding to each collection day within the preset period for each preselected offshore area is as follows:

[0081] According to the wave directions of each flood wave corresponding to each collection day within the preset period for each preselected offshore area, count the number of flood waves in each wave direction corresponding to each collection day within the preset period for each preselected offshore area. Screen the wave direction with the largest number of flood waves corresponding to each collection day within the preset period for each preselected offshore area, and mark it as the effective flood wave direction corresponding to each collection day within the preset period for each preselected offshore area.

[0082] S7. Analysis of the tidal information compliance ratio coefficient: Analyze the tidal wave periods, effective tidal wave heights, and effective tidal wave directions of each preselected offshore area for each collection day within the preset period, and analyze the tidal information compliance ratio coefficient corresponding to each preselected offshore area.

[0083] Based on the above embodiments, in step S7, analyzing the tidal information compliance ratio coefficient corresponding to each preselected offshore area specifically includes:

[0084] The flood wave periods T corresponding to each collection day within the preset period for each preselected offshore area ix 1and the effective flood tide wave height H ix 1 Substitute into the formula to obtain the flood tide wave power density value ω corresponding to each collection day within the preset period for each preselected offshore area ix , where ρ 海水 represents the seawater density, g represents the acceleration due to gravity of the earth, and π represents the pi; similarly, analyze and obtain the ebb tide wave power density value ω' corresponding to each collection day within the preset period for each preselected offshore area ix ;

[0085] According to the effective flood tide wave direction and the effective ebb tide wave direction of each collection day within the preset period for each preselected offshore area, obtain the included angle between the effective flood tide wave direction and the effective ebb tide wave direction of each collection day within the preset period for each preselected offshore area, and denote it as the tidal wave direction included angle of each collection day within the preset period for each preselected offshore area, and label it as θ ix ;

[0086] Analyze the tidal information compliance proportionality coefficient corresponding to each preselected offshore area where represents the tidal information compliance proportionality coefficient corresponding to the i-th preselected offshore area, λ 1 , λ 2 respectively represent the compliance influence factors corresponding to the preset tidal wave power density value and the tidal wave direction included angle, y represents the number of collection days in the preset period, ω' 预 represents the preset tidal wave power density value threshold, and Δθ' represents the preset tidal wave direction included angle threshold.

[0087] In this embodiment, the present invention monitors the tidal information of each collection day within the preset period for each preselected offshore area, obtains the tidal wave period, effective tidal wave height, and effective tidal wave direction of each collection day within the preset period for each preselected offshore area, and analyzes and obtains the tidal information compliance proportionality coefficient corresponding to each preselected offshore area, thereby breaking the subjectivity and one-sidedness problems existing in the existing method, being able to realize qualitative and quantitative combined analysis and evaluation using scientific actual survey data and processing methods, further improving the practicality and guidance of the tidal power station site selection result, further ensuring that the actual use effect of the later tidal power station meets the expectations, and meeting the basic needs of the corresponding service population of the tidal power station.

[0088] S8. Screening of preselected offshore areas: Analyze the comprehensive information compliance coefficient corresponding to each preselected offshore area, arrange them in descending order according to the comprehensive information compliance coefficient, and display them in sequence.

[0089] Based on the above embodiment, the analysis formula for the comprehensive information compliance coefficient corresponding to each preselected offshore area in step S8 is where Ψ i represents the comprehensive information compliance coefficient corresponding to the i-th preselected offshore area, and χ 1 , χ 2 , χ 3 respectively represent the compliance weight factors corresponding to the preset terrain parameter data, environmental constraint information, and tidal information, and χ 1 +χ 2 +χ 3 = 1.

[0090] In this embodiment, the present invention obtains the terrain parameter compliance ratio coefficient, environmental constraint information compliance ratio coefficient, and tidal information compliance ratio coefficient corresponding to each preselected offshore area by detecting the terrain parameter data, environmental constraint information, and tidal information corresponding to each preselected offshore area. At the same time, it analyzes the comprehensive information compliance coefficient corresponding to each preselected offshore area, arranges them in descending order according to the comprehensive information compliance coefficient, and displays them in sequence, so as to realize the comprehensive analysis of multiple factors for the preselected offshore area, improve the rationality and authenticity of the site selection result of the tidal power station, further effectively avoid problems that are not discovered during the actual construction of the tidal power station in the later stage, ensure the safe and stable operation of the tidal power station in the later stage, and thus improve the power generation capacity and investment efficiency of the tidal power station.

[0091] The second aspect of the present invention provides a new energy power station site selection device, including: a processor, and a memory and a network interface connected to the processor; the network interface is connected to the non-volatile memory in the server; when the processor is running, it retrieves the computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute the new energy power station site selection method described in the present invention.

[0092] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by this claim book, they should all belong to the protection scope of the present invention.

Claims

1. A method for site selection of new energy power supply station, It is characterized in that The steps include: S1. Numbering of pre-selected offshore areas: each pre-selected offshore area for establishing a tidal power supply station is recorded as a pre-selected offshore area, and each pre-selected offshore area is numbered in sequence as 1, 2, ..., i, ..., n according to a preset order; S2. Regional terrain parameter data detection: detecting terrain parameter data corresponding to each pre-selected offshore area, wherein the terrain parameter data includes the straightness of the coastline, the type of seabed terrain, the offshore distance and the average sea depth; S3. Analysis of regional terrain parameter data: Based on the terrain parameter data corresponding to each preselected offshore area, the compliance proportionality coefficient ξ of the terrain parameters corresponding to each preselected offshore area is analyzed and obtained. i ; Extract the tidal power supply station corresponding to each type of seabed terrain stored in the power supply station data repository to establish a weight index, and extract the seabed terrain type corresponding to each pre-selected offshore area, screen out the tidal power supply station corresponding to each pre-selected offshore area to establish a weight index, and mark it as φ i ; Extract the coastline straightness w corresponding to each preselected offshore area i 1 , the offshore distance w i 2 and the average seawater depth w i 3 , where δ 1 , δ 2 , δ 3 respectively represent the weight indices for the establishment of tidal power stations corresponding to the preset coastline straightness, offshore distance, and seawater depth, W′ 2 and W′ 3 respectively represent the standard offshore distance and standard seawater depth corresponding to the established area of the tidal power station stored in the power station data repository, ΔW″ 2 represents the allowable error value of the preset offshore distance, and e represents the natural constant; S4. Acquisition of regional environmental constraint information: Acquisition of environmental constraint information corresponding to each pre-selected offshore area, wherein the environmental constraint information includes seabed soil environmental parameters and seawater ecological environment parameters; S5. Regional environmental constraint information analysis: Analyze the environmental constraint information corresponding to each pre-selected offshore area, and analyze the compliance ratio of the environmental constraint information corresponding to each pre-selected offshore area; S6. Regional tidal information monitoring: monitoring the tidal information of each pre-selected offshore area on each collection day within a preset period, and obtaining the tidal wave period, effective tidal wave height and effective tidal wave direction of each pre-selected offshore area on each collection day within the preset period; S7, tidal information conformity ratio coefficient analysis: analyzing the tidal wave period, effective tidal wave height and effective tidal wave direction of each pre-selected offshore area on each collection day within a preset period, and analyzing the tidal information conformity ratio coefficient corresponding to each pre-selected offshore area; S8. Screening of pre-selected offshore areas: Analyze the comprehensive information compliance coefficient corresponding to each pre-selected offshore area, arrange them in descending order according to the comprehensive information compliance coefficient, and display them in sequence.

2. A method for selecting a site for a new energy power supply station according to claim 1, Features: In step S2, the terrain parameter data corresponding to each pre-selected offshore area is monitored, and the specific monitoring method is: Collect the coastline images corresponding to each preselected offshore area, obtain the coastline contour graphics corresponding to each preselected offshore area, and analyze the coastline contour graphics corresponding to each preselected offshore area to obtain the coastline straightness corresponding to each preselected offshore area, which is marked as w i 1 , i = 1, 2,..., n, where i represents the number of the i-th preselected offshore area; Performing a three-dimensional scan of the seabed topography corresponding to each pre-selected offshore area to obtain the seabed topography type corresponding to each pre-selected offshore area; Detect the straight-line distance from the center point position of each preselected offshore area to the coastline, record the straight-line distance from the center point position of each preselected offshore area to the coastline as the offshore spacing corresponding to each preselected offshore area, and mark it as w i 2 ; Detect the seawater depth at each detection point in each preselected offshore area, obtain the average seawater depth corresponding to each preselected offshore area through the average calculation method, and mark it as w i 3 。 3. A method for site selection of a new energy power supply station according to claim 1, Features: In step S4, the seabed soil environmental parameters corresponding to each pre-selected offshore area are obtained, and the specific acquisition method includes: Divide the corresponding seabed soil areas of each preselected offshore area in an equal-area division method to obtain each seabed soil sub-area corresponding to each preselected offshore area, and take samples of the soil in each seabed soil sub-area corresponding to each preselected offshore area to obtain soil samples of each seabed soil sub-area corresponding to each preselected offshore area. Identify and analyze the proportion of each type of soil in the soil samples of each seabed soil sub-area corresponding to each preselected offshore area, and mark the proportion of each type of soil in the soil samples of each seabed soil sub-area corresponding to each preselected offshore area as k ir a , r = 1, 2,..., u, r represents the number of the r-th seabed soil sub-area, a = a 1 or a 2 , a 1 , a 2 respectively represent sandy soil and silt soil; The soil softness at the center points of each sub-region of the seabed soil corresponding to each preselected offshore area is monitored by a soil softness measuring instrument, and the soil softness at the center points of each sub-region of the seabed soil corresponding to each preselected offshore area is obtained, which is marked as q ir .

4. A method for selecting a site for a new energy power supply station according to claim 3, Features: In step S4, the seawater ecological environment parameters corresponding to each pre-selected offshore area are obtained, and the specific acquisition method includes: Divide the seawater areas corresponding to each preselected offshore area according to the spatial grid division method to obtain each seawater sub-area corresponding to each preselected offshore area, and monitor each seawater sub-area corresponding to each preselected offshore area to obtain the quantity and average size of various marine organisms in each seawater sub-area corresponding to each preselected offshore area. Mark the quantity and average size of various marine organisms in each seawater sub-area corresponding to each preselected offshore area as and where f = 1, 2,..., v, f represents the number of the f-th seawater sub-area, and c = 1, 2,..., s, c represents the number of the c-th marine organism.

5. A method for selecting a site for a new energy power supply station according to claim 4, Features: The specific steps corresponding to step S5 are as follows: Extract the softness influence factors corresponding to various types of seabed soils stored in the power supply station data repository, and based on the proportion of each type of soil in the soil samples of each seabed soil sub-region corresponding to each preselected offshore area and the soil softness at the center point of each seabed soil sub-region, analyze and obtain the weight index that the seabed soil environment parameters corresponding to each preselected offshore area conform to, and mark it as ψ i 1 ; According to the quantity and average size of various marine organisms in each seawater sub-region corresponding to each preselected offshore area, analyze whether the seawater ecological environment parameters corresponding to each preselected offshore area conform to the weight index where η represents the preset compensation index of seawater ecological environment parameters, V i represents the volume of the seawater sub-region after the division of the i-th preselected offshore area, ρ 预 represents the suitable survival density of marine organisms in the preset seawater ecological environment; The seabed soil environmental parameters corresponding to each preselected offshore area conform to the weight index ψ i 1 and the seawater ecological environmental parameters conform to the weight index ψ i 2 Substitute into the formula to obtain the compliance proportionality coefficient of the environmental constraint information corresponding to each preselected offshore area where γ 1 and γ 2 respectively represent the compliance impact factors corresponding to the preset seabed soil environment and seawater ecological environment.

6. A method for selecting a site for a new energy power supply station according to claim 1, Features: The step S6 monitors the tidal information of each pre-selected offshore area on each collection day within a preset period, specifically including: Monitor the rising tide wave periods, wave heights, and wave directions corresponding to each collection day within a preset cycle for each preselected offshore area, and process the wave heights and wave directions of each rising tide wave corresponding to each collection day within a preset cycle for each preselected offshore area to obtain the effective rising tide wave heights and effective rising tide wave directions corresponding to each collection day within a preset cycle for each preselected offshore area. Mark the rising tide wave periods and effective rising tide wave heights corresponding to each collection day within a preset cycle for each preselected offshore area as T ix 1 and H ix 1 , where x = 1, 2,..., y, and x represents the number of the xth collection day within the preset cycle; Monitor the ebb wave periods, wave heights, and wave directions of each ebb wave corresponding to each collection day within a preset period for each preselected offshore area, process to obtain the effective ebb wave heights and effective ebb wave directions corresponding to each collection day within the preset period for each preselected offshore area, and mark the ebb wave periods and effective ebb wave heights corresponding to each collection day within the preset period for each preselected offshore area as T ix 2 and H ix 2 .

7. A method for selecting a site for a new energy power supply station according to claim 6, Features: In step S7, the tidal information corresponding to each pre-selected offshore area is analyzed to meet the proportionality coefficient, and the specific analysis includes: For each preselected offshore area, substitute the rising tide wave period T corresponding to each collection day within the preset period ix 1 and the effective rising tide wave height H ix 1 into the formula to obtain the rising tide wave power density value ω corresponding to each collection day within the preset period for each preselected offshore area ix , where ρ 海水 represents the seawater density, g represents the acceleration due to gravity of the earth, and π represents the pi; similarly, analyze and obtain the ebbing tide wave power density value ω' corresponding to each collection day within the preset period for each preselected offshore area ix ; According to the effective flood tide wave direction and the effective ebb tide wave direction of each preselected offshore area on each collection day within the preset period, the included angle between the effective flood tide wave direction and the effective ebb tide wave direction of each preselected offshore area on each collection day within the preset period is obtained, which is denoted as the tidal wave direction included angle of each preselected offshore area on each collection day within the preset period and is marked as θ ix ; Analyze the compliance ratio coefficient of the tidal information corresponding to each preselected offshore area Among them It is expressed as the compliance ratio coefficient of the tidal information corresponding to the i-th preselected offshore area, λ 1 , λ 2 They are respectively expressed as the compliance influence factors corresponding to the preset tidal wave power density value and the tidal wave direction angle, y represents the number of acquisition days in the preset period, ω′ 预 It is expressed as the threshold value of the preset tidal wave power density value, and Δθ′ represents the threshold value of the preset tidal wave direction angle.

8. A method for selecting a site for a new energy power supply station according to claim 1, Features: The analysis formula for the comprehensive information compliance coefficient corresponding to each preselected offshore area in step S8 is where Ψ i represents the comprehensive information compliance coefficient corresponding to the i-th preselected offshore area, and χ 1 , χ 2 , χ 3 represent the compliance weight factors corresponding to the preset terrain parameter data, environmental constraint information, and tidal information respectively, and χ 1 +χ 2 +χ 3 = 1.

9. A siting device for a new energy power supply station, characterized in that: comprising: a processor, and a memory and a network interface connected to the processor; the network interface is connected to a non-volatile memory in the server; when running, the processor retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute the method according to any one of claims 1-8 above.

Images