CN114662985A - Mountain area power engineering site selection method and device based on oblique photography modeling and computer storage medium - Google Patents
Mountain area power engineering site selection method and device based on oblique photography modeling and computer storage medium Download PDFInfo
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Abstract
The invention discloses a mountain area electric power engineering site selection method based on oblique photography modeling, equipment and a computer storage medium, wherein a three-dimensional scene model of a mountain area to be monitored is constructed by adopting an oblique photography modeling technology, each shape parameter of each preselected region in the three-dimensional scene model of the mountain area to be monitored is obtained, the influence proportion coefficient of the shape parameter of each preselected region in the mountain area to be monitored is analyzed, the residual field area and the shadow shielding area of each time period in the three-dimensional scene model of the mountain area to be monitored are detected and analyzed, the photovoltaic power construction conformity coefficient of each preselected region in the mountain area to be monitored is comprehensively calculated, the preselected region with the highest photovoltaic power construction conformity coefficient in the mountain area to be monitored is screened, and the preselected region is numbered and displayed, so that the optimal site selection region of the mountain area photovoltaic power engineering can be visually displayed, ensure that the actual mountain area photovoltaic power engineering in later stage can reach the anticipated effect.
Description
Technical Field
The invention relates to the field of mountain area power engineering site selection, in particular to a mountain area power engineering site selection method and device based on oblique photography modeling and a computer storage medium.
Background
In recent years, with the gradual increase of the construction of the photovoltaic power engineering in the mountainous area, the site selection work of the photovoltaic power engineering in the mountainous area is more and more emphasized. The site selection work plays an important role in the construction of photovoltaic power engineering, and directly influences the operation effect of the whole photovoltaic power engineering.
At present, the existing mountainous area photovoltaic power engineering site selection method has the following defects:
1. in the existing site selection process of the photovoltaic power engineering in the mountainous area, a mode of manually comparing mountain area topographic maps is mostly adopted for site selection, and the automation degree of various calculation processes of topographic map selection, barrier removal and site area is low, so that the site selection in the early stage of the photovoltaic power engineering in the mountainous area is long in consumed time and low in efficiency, and the planning and construction period of the photovoltaic power engineering in the mountainous area is increased to a certain extent;
2. the existing mountain photovoltaic power engineering site selection method cannot consider that actual measurement data are adopted for correction, so that the manual site selection result is lack of practicability and instructiveness, the problem that cannot be found in the planning result often occurs after actual construction, and the effect of the later actual mountain photovoltaic power engineering cannot be expected, so that the generated energy and the investment income of the mountain photovoltaic power engineering are influenced;
in order to solve the problems, a mountainous area power engineering site selection method, equipment and a computer storage medium based on oblique photography modeling are designed.
Disclosure of Invention
The invention aims to provide a mountainous area electric power engineering site selection method based on oblique photography modeling, equipment and a computer storage medium, and solves the problems in the background art.
In order to achieve the purpose, the invention provides a mountainous area electric power engineering site selection method based on oblique photography modeling, which comprises the following steps:
aerial photography is carried out on the mountainous area to be detected through the oblique photography flying platform, a three-dimensional scene model of the mountainous area to be monitored is built, and all preselected areas in the three-dimensional scene model of the mountainous area to be monitored are screened;
acquiring each terrain parameter of each preselected area in a three-dimensional scene model of the mountainous area to be monitored, and analyzing the terrain parameter influence proportion coefficient of each preselected area in the mountainous area to be monitored;
acquiring the occupied area of buildings and the occupied area of forest trees in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and analyzing the residual site area of each preselected area in the three-dimensional scene model of the mountain area to be monitored;
extracting geological images of the remaining site of each preselected region in the three-dimensional scene model of the mountainous area to be monitored, comparing to obtain the area of each geological region in the remaining site of each preselected region in the three-dimensional scene model of the mountainous area to be monitored, and analyzing the site utilization value influence proportional coefficient of each preselected region in the mountainous area to be monitored;
detecting the shadow occlusion area of each time period in each preselected region in the three-dimensional scene model of the mountain area to be monitored, and analyzing the average shadow occlusion area ratio of each preselected region in the three-dimensional scene model of the mountain area to be monitored in the unit time period under daily illumination;
and comprehensively calculating the photovoltaic power construction conformity coefficient of each preselected area in the mountainous area to be monitored, screening the preselected area with the highest photovoltaic power construction conformity coefficient in the mountainous area to be monitored, and displaying the number of the preselected area.
In one possible design, the aerial photography of the mountainous area to be detected through the oblique photography flying platform, and the construction of the three-dimensional scene model of the mountainous area to be monitored, and the screening of each preselected area in the three-dimensional scene model of the mountainous area to be monitored includes:
s11, aerial photography is carried out on the mountain area to be detected through the oblique photography flying platform according to the set air route, the set height and the set overlapping degree, and a three-dimensional scene model of the mountain area to be monitored is constructed;
s12, screening and obtaining each area which accords with the photovoltaic power engineering construction terrain in the three-dimensional scene model of the mountainous area to be monitored, and recording each area which accords with the photovoltaic power engineering construction terrain as each preselected area;
s13, numbering each preselected region in the three-dimensional scene model of the mountain area to be monitored in sequence according to a set sequence, and forming a number set A ═ a of each preselected region in the three-dimensional scene model of the mountain area to be monitored1,a2,...,ai,...,an},aiAnd expressing the number of the ith preselected area in the three-dimensional scene model of the mountain area to be monitored.
In a possible design, the analyzing the terrain parameter influence proportionality coefficient of each preselected area in the mountainous area to be monitored according to each terrain parameter of each preselected area in the three-dimensional scene model of the mountainous area to be monitored includes:
s21, acquiring the gradient of each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the gradient of each preselected area in the three-dimensional scene model of the mountain area to be monitored as w1aiWherein i is 1, 2.. times.n;
s22, obtaining the slope direction of each preselected region in the three-dimensional scene model of the mountain area to be monitored, and marking the slope direction of each preselected region in the three-dimensional scene model of the mountain area to be monitored as w2ai;
S23, the gradient w of each preselected area in the three-dimensional scene model of the mountain area to be monitored1aiThe slope direction w of each preselected area in the three-dimensional scene model of the mountain area to be monitored2aiSubstituting the formula psii=μ1*ln(w1ai+1)+μ2*ξw2aiObtaining the topographic parameter influence proportion coefficient psi of each preselected area in the mountainous area to be monitorediIn which μ1、μ2Respectively expressed as influence weight index, xi w corresponding to regional terrain gradient and regional terrain gradient2aiAnd expressing the standard influence correction coefficient corresponding to the slope direction of the ith preselected area in the three-dimensional scene model of the mountain area to be monitored.
In one possible design, the remaining field area analysis manner of each preselected area in the three-dimensional scene model of the mountain area to be monitored is as follows:
s31, obtaining the occupied area of the buildings in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the occupied area of the buildings in each preselected area in the three-dimensional scene model of the mountain area to be monitored as SBuilding (2)ai;
S32, obtaining the occupied area of the trees in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the occupied area of the trees in each preselected area in the three-dimensional scene model of the mountain area to be monitored as SForest (forest)ai;
S33, and calculating the total area S of each preselected area in the three-dimensional scene model of the mountain area to be monitorediAnd III of mountain area to be monitoredBuilding floor area S in each preselected area in dimensional scene modelBuilding (2)aiAnd the area S occupied by the forest in each preselected region in the three-dimensional scene model of the mountain area to be monitoredForest (forest)aiSubstituting into formula SThe residue is leftai=Si-SBuilding (2)ai-SForest (forest)aiObtaining the residual site area S of each preselected area in the three-dimensional scene model of the mountainous area to be monitoredRemains ofai。
In one possible design, after extracting the remaining field geological image of each preselected area in the three-dimensional scene model of the mountain area to be monitored, the method comprises the following steps:
and dividing the geological image of the residual field in each preselected area in the three-dimensional scene model of the mountain area to be monitored into subimages according to different geological types, comparing each subimage in the geological image of the residual field in each preselected area in the three-dimensional scene model of the mountain area to be monitored with the standard image of the geology of various mountain areas, and screening the geology of the corresponding type of each subimage in the geological image of the residual field in each preselected area in the three-dimensional scene model of the mountain area to be monitored.
In one possible design, the areas of various geological regions in the remaining fields of all preselected regions in the three-dimensional scene model of the mountain area to be monitored are obtained according to comparison, and the field utilization value influence proportional coefficient of each preselected region in the mountain area to be monitored is analyzed, and the specific steps are as follows:
s41, counting the areas of various geological regions in the residual site of each preselected region in the three-dimensional scene model of the mountainous area to be monitored, and marking the areas of various geological regions in the residual site of each preselected region in the three-dimensional scene model of the mountainous area to be monitored as Si′rjWherein j is 1, 2.. multidot.m;
s42, the remaining site area S of each preselected area in the three-dimensional scene model of the mountain area to be monitoredThe residue is leftaiAnd the area s of each type of geology in the residual field of each preselected area in the three-dimensional scene model of the mountain area to be monitoredi′rjSubstitution formulaObtaining the site utilization value influence proportional coefficient theta of each preselected area in the mountainous area to be monitorediWherein λ is1、λ2、λ3Respectively expressed as an influence factor, alpha, of a site utility value coefficientjAnd expressing the influence weight coefficient corresponding to the j type geology.
In one possible design, before detecting a shadow occlusion area of each time segment in each preselected region in the three-dimensional scene model of the mountain area to be monitored, the method includes:
s51, performing daily illumination simulation on the three-dimensional scene model of the mountain area to be monitored, measuring the shadow occlusion area of each time period in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the shadow occlusion area of each time period in each preselected area in the three-dimensional scene model of the mountain area to be monitored as Si″TfWherein f is 1,2,. cndot, u;
s52, and calculating the total area S of each preselected area in the three-dimensional scene model of the mountain area to be monitorediShadow shielding area s of each time period in each preselected area in three-dimensional scene model of mountain area to be monitoredi″TfSubstitution formulaObtaining the average shadow shielding area ratio of each preselected area in the three-dimensional scene model of the mountainous area to be monitored in the unit time period under the daily illumination
In one possible design, the calculation method of the photovoltaic power construction conformity coefficient of each preselected area in the mountainous area to be monitored is as follows:
influencing the topographic parameter of each preselected area in the mountainous area to be monitored by a proportional coefficient psiiAnd the residual site area S of each preselected area in the three-dimensional scene model of the mountainous area to be monitoredThe residue is leftaiAnd the site utilization value influence proportional coefficient theta of each preselected area in the mountainous area to be monitorediUnit time period of each preselected area in three-dimensional scene model of mountainous area to be monitored under daily illuminationAverage shadow mask area ratio ofSubstitution formulaObtaining the photovoltaic power construction conformity coefficient phi of each preselected area in the mountainous area to be monitorediWherein δ1、δ2、δ3Respectively expressed as the influence weight coefficient of the conformity degree of the terrain parameters, the site utilization value and the daily illumination to the photovoltaic power in the mountainous area, SPlanningThe construction area is represented as the planned construction area in the photovoltaic power engineering in the mountainous area.
The present invention also provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; when the processor runs, the computer program is called from the nonvolatile memory through the network interface, and the computer program runs through the memory, so that the mountain area power engineering addressing method based on oblique photography modeling is executed.
The invention also provides a computer storage medium comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the mountain area electric power engineering addressing method based on oblique photography modeling.
Has the advantages that:
(1) the invention provides a mountain area power engineering site selection method based on oblique photography modeling, equipment and a computer storage medium, wherein aerial photography is carried out on a mountain area to be detected through an oblique photography flight platform, a three-dimensional scene model of the mountain area to be monitored is constructed, each shape parameter of each preselected area in the three-dimensional scene model of the mountain area to be monitored is obtained, and the influence proportional coefficient of the shape parameter of each preselected area in the mountain area to be monitored is analyzed, so that the automation degree of the terrain analysis process of the mountain area photovoltaic power engineering is improved, the time consumed by later mountain area photovoltaic power engineering site selection is reduced, meanwhile, the occupied area of buildings and the occupied area of forest trees in each preselected area in the three-dimensional scene model of the mountain area to be monitored are obtained, the residual field ground area and the field utilization value influence proportional coefficient of each preselected area in the three-dimensional scene model of the mountain area to be monitored are analyzed, therefore, reliable reference data are provided for analyzing the photovoltaic power construction conformity coefficient of each preselected region in the later stage, the site selection efficiency of the photovoltaic power engineering in the later stage is improved, the planning construction cycle of the photovoltaic power engineering in the later stage is reduced, the shadow shielding area of each preselected region in the three-dimensional scene model of the to-be-monitored mountain region is detected, the average shadow shielding area ratio of each preselected region in a unit time period under daily illumination is analyzed, the actual data of the mountain region is measured and corrected, and the practicability and the guidance of the site selection result of the photovoltaic power engineering in the later stage are improved.
(2) According to the invention, the photovoltaic power construction conformity coefficient of each preselected area in the mountainous area to be monitored is comprehensively calculated, the preselected area with the highest photovoltaic power construction conformity coefficient in the mountainous area to be monitored is screened, and the number of the preselected area is displayed, so that the optimal site selection area of the mountainous area photovoltaic power engineering can be visually displayed, the problem that the photovoltaic power engineering cannot be found in the actual construction process in the later period is effectively avoided, the expected effect of the actual mountainous area photovoltaic power engineering in the later period is ensured, and the generated energy and the investment income of the mountainous area photovoltaic power engineering are increased.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the method steps of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a mountain area power engineering site selection method based on oblique photography modeling, which includes the following steps:
and step S1, carrying out aerial photography on the mountainous area to be detected through the oblique photography flying platform, constructing a three-dimensional scene model of the mountainous area to be monitored, and screening each preselected area in the three-dimensional scene model of the mountainous area to be monitored.
In this embodiment, the oblique photography flight platform includes unmanned aerial vehicle, carries on many photography equipment through unmanned aerial vehicle to from perpendicular, foresight slope, left side look slope, right side look slope and back view inclination collection image simultaneously, thereby can construct the true three-dimensional space scene in mountain area that has accurate physics positional information fast, grasp the detail characteristic of landform and all buildings in the mountain area region directly perceivedly, provide present, detailed, accurate, lifelike space basis geographic information data support and public service for mountain area photovoltaic electric power construction.
In this embodiment, the performing aerial photography on the mountainous area to be detected through the oblique photography flying platform, constructing a three-dimensional scene model of the mountainous area to be monitored, and screening each preselected area in the three-dimensional scene model of the mountainous area to be monitored includes:
s11, aerial photography is carried out on the mountain area to be detected through the oblique photography flying platform according to the set air route, the set height and the set overlapping degree, and a three-dimensional scene model of the mountain area to be detected is constructed;
s12, screening and obtaining each area which accords with the photovoltaic power engineering construction terrain in the three-dimensional scene model of the mountainous area to be monitored, and recording each area which accords with the photovoltaic power engineering construction terrain as each preselected area;
s13, numbering each preselected region in the three-dimensional scene model of the mountain area to be monitored in sequence according to a set sequence, and forming a number set A ═ a of each preselected region in the three-dimensional scene model of the mountain area to be monitored1,a2,...,ai,...,an},aiAnd expressing the number of the ith preselected area in the three-dimensional scene model of the mountain area to be monitored.
And step S2, acquiring each terrain parameter of each preselected area in the three-dimensional scene model of the mountain area to be monitored, and analyzing the terrain parameter influence proportion coefficient of each preselected area in the mountain area to be monitored.
In this embodiment, analyzing the terrain parameter influence proportional coefficient of each preselected area in the mountain area to be monitored according to each terrain parameter of each preselected area in the three-dimensional scene model of the mountain area to be monitored includes:
s21, acquiring the gradient of each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the gradient of each preselected area in the three-dimensional scene model of the mountain area to be monitored as w1aiWherein i is 1, 2.. times.n;
s22, obtaining the slope direction of each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the slope direction of each preselected area in the three-dimensional scene model of the mountain area to be monitored as w2ai;
S23, the gradient w of each preselected area in the three-dimensional scene model of the mountain area to be monitored1aiThe slope direction w of each preselected area in the three-dimensional scene model of the mountain area to be monitored2aiSubstituting the formula psii=μ1*ln(w1ai+1)+μ2*ξw2aiObtaining the topographic parameter influence proportion coefficient psi of each preselected area in the mountainous area to be monitorediIn which μ1、μ2Respectively expressed as influence weight index, ξ w2aiAnd expressing the standard influence correction coefficient corresponding to the slope direction of the ith preselected area in the three-dimensional scene model of the mountain area to be monitored.
Specifically, the method and the device improve the automation degree of the topographic analysis process of the photovoltaic power engineering in the mountainous area and reduce the time consumed by the later-stage photovoltaic power engineering site selection by analyzing the topographic parameter influence proportional coefficient of each preselected area in the mountainous area to be monitored.
And step S3, acquiring the floor area of buildings and the floor area of trees in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and analyzing the residual floor area of each preselected area in the three-dimensional scene model of the mountain area to be monitored.
In this embodiment, the remaining site area analysis manner of each preselected area in the three-dimensional scene model of the mountain area to be monitored is as follows:
s31, obtaining the occupied area of the buildings in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the occupied area of the buildings in each preselected area in the three-dimensional scene model of the mountain area to be monitored as SBuilding (2)ai;
S32, obtaining the occupied area of the trees in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the occupied area of the trees in each preselected area in the three-dimensional scene model of the mountain area to be monitored as SForest (forest)ai;
S33, and calculating the total area S of each preselected area in the three-dimensional scene model of the mountain area to be monitorediAnd the occupied area S of the buildings in each preselected area in the three-dimensional scene model of the mountainous area to be monitoredBuilding (2)aiAnd the occupation area S of the forest trees in each preselected area in the three-dimensional scene model of the mountain area to be monitoredForest (forest)aiSubstituting into formula SThe residue is leftai=Si-SBuilding (2)ai-SForest (forest)aiObtaining the residual site area S of each preselected area in the three-dimensional scene model of the mountainous area to be monitoredThe residue is leftai
And step S4, extracting the geological images of the remaining site of each preselected area in the three-dimensional scene model of the mountain area to be monitored, comparing to obtain the area of each geological area in the remaining site of each preselected area in the three-dimensional scene model of the mountain area to be monitored, and analyzing the site utilization value influence proportional coefficient of each preselected area in the mountain area to be monitored.
In this embodiment, after extracting the remaining field geological images of each preselected area in the three-dimensional scene model of the mountain area to be monitored, the method includes:
dividing the geological image of the residual field in each preselected area in the three-dimensional scene model of the mountainous area to be monitored into subimages according to different geological types, comparing each subimage in the geological image of the residual field in each preselected area in the three-dimensional scene model of the mountainous area to be monitored with the standard image of the geology of each mountainous area, and screening the geology of the corresponding type of each subimage in the geological image of the residual field in each preselected area in the three-dimensional scene model of the mountainous area to be monitored.
The geological regions of various types respectively comprise a boulder geological region, a rock geological region, a collapse geological region, a soil soft geological region, a alluvial trench geological region and a common geological region.
In this embodiment, the areas of various geological regions in the remaining site of each preselected region in the three-dimensional scene model of the mountain area to be monitored are obtained according to the comparison, and the site utilization value influence proportional coefficient of each preselected region in the mountain area to be monitored is analyzed, specifically including the following steps:
s41, counting the areas of various geological regions in the residual site of each preselected region in the three-dimensional scene model of the mountainous area to be monitored, and marking the areas of various geological regions in the residual site of each preselected region in the three-dimensional scene model of the mountainous area to be monitored as Si′rjWherein j is 1, 2.. multidot.m;
s42, the remaining site area S of each preselected area in the three-dimensional scene model of the mountain area to be monitoredThe residue is leftaiAnd the area s of each type of geology in the residual field of each preselected area in the three-dimensional scene model of the mountain area to be monitoredi′rjSubstitution formulaObtaining the site utilization value influence proportional coefficient theta of each preselected area in the mountainous area to be monitorediWherein λ is1、λ2、λ3Respectively expressed as the influence factors of the site utilization value coefficient, alphajAnd expressing the influence weight coefficient corresponding to the j type geology.
Specifically, the method and the device provided by the invention have the advantages that the occupied area of buildings and the occupied area of trees in each preselected area in the three-dimensional scene model of the mountain area to be monitored are obtained, and the influence proportion coefficient of the residual site area and the site utilization value of each preselected area in the three-dimensional scene model of the mountain area to be monitored is analyzed, so that reliable reference data are provided for analyzing the photovoltaic power construction conformity coefficient of each preselected area in the later period, the site selection efficiency of the photovoltaic power engineering of the later period of the mountain area is improved, and the planning construction period of the photovoltaic power engineering of the later period of the mountain area is shortened.
Step S5, detecting the shadow occlusion area of each time period in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and analyzing the average shadow occlusion area ratio of each preselected area in the three-dimensional scene model of the mountain area to be monitored in the unit time period under daily illumination.
In this embodiment, before detecting a shadow occlusion area in each time period in each preselected area in the three-dimensional scene model of the mountain area to be monitored, the method includes:
s51, performing daily illumination simulation on the three-dimensional scene model of the mountain area to be monitored, measuring the shadow occlusion area of each time period in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the shadow occlusion area of each time period in each preselected area in the three-dimensional scene model of the mountain area to be monitored as Si″TfWherein f is 1,2,. cndot, u;
s52, and calculating the total area S of each preselected area in the three-dimensional scene model of the mountain area to be monitorediShadow shielding area s of each time period in each preselected area in three-dimensional scene model of mountain area to be monitoredi″TfSubstitution formulaObtaining the average shadow shielding area ratio of each preselected area in the three-dimensional scene model of the mountainous area to be monitored in the unit time period under the daily illumination
Specifically, the method and the device realize measurement and correction of actual data of the mountainous area, and improve the practicability and the guidance of the later-stage mountainous area photovoltaic power engineering site selection result.
And step S6, comprehensively calculating the photovoltaic power construction conformity coefficient of each preselected area in the mountainous area to be monitored, screening the preselected area with the highest photovoltaic power construction conformity coefficient in the mountainous area to be monitored, and displaying the number of the preselected area.
In this embodiment, the calculation method of the photovoltaic power construction conformity coefficient of each preselected area in the mountainous area to be monitored is as follows:
influencing the topographic parameter of each preselected area in the mountainous area to be monitored by a proportional coefficient psiiAnd the residual site area S of each preselected area in the three-dimensional scene model of the mountainous area to be monitoredThe residue is leftaiAnd the site utilization value influence proportional coefficient theta of each preselected area in the mountainous area to be monitorediAverage shadow shielding area ratio of each preselected area in three-dimensional scene model of mountainous area to be monitored in unit time period under daily illuminationSubstituting into formulaObtaining the photovoltaic power construction conformity coefficient phi of each preselected area in the mountainous area to be monitorediWherein δ1、δ2、δ3Respectively expressed as the influence weight coefficient of the topographic parameters, the site utilization value and the conformity of daily illumination to the photovoltaic power in the mountainous area, SPlan forThe construction area is represented as the planned construction area in the photovoltaic power engineering in the mountainous area.
Specifically, the optimal site selection area of the photovoltaic power engineering in the mountainous area can be visually displayed, the problem that the photovoltaic power engineering in the mountainous area cannot be found in the actual construction process in the later period is effectively avoided, the fact that the photovoltaic power engineering in the mountainous area can achieve the expected effect in the later period is ensured, and the power generation amount and the investment income of the photovoltaic power engineering in the mountainous area are increased.
The present invention also provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; when the processor runs, the computer program is called from the nonvolatile memory through the network interface, and the computer program runs through the memory, so that the mountain area power engineering addressing method based on oblique photography modeling is executed.
The invention also provides a computer storage medium comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the mountain area electric power engineering addressing method based on oblique photography modeling.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. A mountainous area electric power engineering site selection method based on oblique photography modeling is characterized by comprising the following steps: the method comprises the following steps:
aerial photography is carried out on the mountainous area to be detected through the oblique photography flying platform, a three-dimensional scene model of the mountainous area to be monitored is built, and all preselected areas in the three-dimensional scene model of the mountainous area to be monitored are screened;
acquiring each terrain parameter of each preselected area in a three-dimensional scene model of the mountainous area to be monitored, and analyzing the terrain parameter influence proportion coefficient of each preselected area in the mountainous area to be monitored;
acquiring the occupied area of buildings and the occupied area of trees in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and analyzing the residual field area of each preselected area in the three-dimensional scene model of the mountain area to be monitored;
extracting geological images of the remaining site of each preselected region in the three-dimensional scene model of the mountainous area to be monitored, comparing to obtain the area of each geological region in the remaining site of each preselected region in the three-dimensional scene model of the mountainous area to be monitored, and analyzing the site utilization value influence proportional coefficient of each preselected region in the mountainous area to be monitored;
detecting the shadow occlusion area of each time period in each preselected region in the three-dimensional scene model of the mountain area to be monitored, and analyzing the average shadow occlusion area ratio of each preselected region in the three-dimensional scene model of the mountain area to be monitored in the unit time period under daily illumination;
and comprehensively calculating the photovoltaic power construction conformity coefficient of each preselected area in the mountainous area to be monitored, screening the preselected area with the highest photovoltaic power construction conformity coefficient in the mountainous area to be monitored, and displaying the number of the preselected area.
2. The mountainous area electric power engineering addressing method based on oblique photography modeling as claimed in claim 1, wherein: the method comprises the following steps of carrying out aerial photography on a mountainous area to be detected through the oblique photography flying platform, constructing a three-dimensional scene model of the mountainous area to be monitored, and screening all preselected areas in the three-dimensional scene model of the mountainous area to be monitored, wherein the preselected areas comprise:
s11, aerial photography is carried out on the mountain area to be detected through the oblique photography flying platform according to the set air route, the set height and the set overlapping degree, and a three-dimensional scene model of the mountain area to be monitored is constructed;
s12, screening and obtaining each area which accords with the photovoltaic power engineering construction terrain in the three-dimensional scene model of the mountainous area to be monitored, and recording each area which accords with the photovoltaic power engineering construction terrain as each preselected area;
s13, numbering each preselected region in the three-dimensional scene model of the mountain area to be monitored in sequence according to a set sequence, and forming a number set A ═ a of each preselected region in the three-dimensional scene model of the mountain area to be monitored1,a2,...,ai,...,an},aiAnd expressing the number of the ith preselected area in the three-dimensional scene model of the mountain area to be monitored.
3. The mountainous area electric power engineering addressing method based on oblique photography modeling as claimed in claim 1, wherein: the analyzing the terrain parameter influence proportion coefficient of each preselected area in the mountainous area to be monitored according to each terrain parameter of each preselected area in the three-dimensional scene model of the mountainous area to be monitored comprises the following steps:
s21, acquiring the gradient of each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the gradient of each preselected area in the three-dimensional scene model of the mountain area to be monitored as w1aiWherein i is 1, 2.. times.n;
s22, obtaining the slope direction of each preselected region in the three-dimensional scene model of the mountain area to be monitored, and marking the slope direction of each preselected region in the three-dimensional scene model of the mountain area to be monitored as w2ai;
S23, the gradient w of each preselected area in the three-dimensional scene model of the mountain area to be monitored1aiThe slope direction w of each preselected area in the three-dimensional scene model of the mountain area to be monitored2aiSubstituting the formula psii=μ1*ln(w1ai+1)+μ2*ξw2aiObtaining the topographic parameter influence proportion coefficient psi of each preselected area in the mountainous area to be monitorediIn which μ1、μ2Respectively expressed as influence weight index, xi w corresponding to regional terrain gradient and regional terrain gradient2aiAnd expressing the standard influence correction coefficient corresponding to the slope direction of the ith preselected area in the three-dimensional scene model of the mountain area to be monitored.
4. The mountainous area electric power engineering addressing method based on oblique photography modeling as claimed in claim 1, wherein: the analysis mode of the remaining field area of each preselected area in the three-dimensional scene model of the mountain area to be monitored is as follows:
s31, obtaining the occupied area of the buildings in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the occupied area of the buildings in each preselected area in the three-dimensional scene model of the mountain area to be monitored as SBuilding (2)ai;
S32, obtaining the area occupied by the forest in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and monitoring the area occupied by the forest in each preselected areaThe area of the forest in each preselected area in the three-dimensional scene model of the mountainous area is marked as SForest (forest)ai;
S33, and calculating the total area S of each preselected area in the three-dimensional scene model of the mountain area to be monitorediAnd the occupied area S of the buildings in each preselected area in the three-dimensional scene model of the mountain area to be monitoredBuilding (2)aiAnd the area S occupied by the forest in each preselected region in the three-dimensional scene model of the mountain area to be monitoredForest (forest)aiSubstituting into formula SThe residue is leftai=Si-SBuilding (2)ai-SForest (forest)aiObtaining the residual site area S of each preselected area in the three-dimensional scene model of the mountainous area to be monitoredRemains ofai。
5. The mountainous area electric power engineering addressing method based on oblique photography modeling as claimed in claim 1, wherein: after extracting the remaining field geological images of each preselected area in the three-dimensional scene model of the mountain area to be monitored, the method comprises the following steps:
dividing the geological image of the residual field in each preselected area in the three-dimensional scene model of the mountainous area to be monitored into subimages according to different geological types, comparing each subimage in the geological image of the residual field in each preselected area in the three-dimensional scene model of the mountainous area to be monitored with the standard image of the geology of each mountainous area, and screening the geology of the corresponding type of each subimage in the geological image of the residual field in each preselected area in the three-dimensional scene model of the mountainous area to be monitored.
6. The mountainous area electric power engineering addressing method based on oblique photography modeling as claimed in claim 1, wherein: the method comprises the following steps of obtaining the areas of various geological regions in the remaining site of each preselected region in a three-dimensional scene model of the mountain area to be monitored according to comparison, and analyzing the site utilization value influence proportional coefficient of each preselected region in the mountain area to be monitored, wherein the method comprises the following specific steps:
s41, counting the area of each geological region in the residual field of each preselected region in the three-dimensional scene model of the mountain area to be monitored, and remaining each preselected region in the three-dimensional scene model of the mountain area to be monitoredThe areas of various geological regions in the rest field are marked as s'irjWherein j is 1, 2.. multidot.m;
s42, the remaining site area S of each preselected area in the three-dimensional scene model of the mountain area to be monitoredThe residue is leftaiRegion area s 'of each type of geology in each pre-selected region residual field in three-dimensional scene model of mountainous area to be monitored'irjSubstitution formulaObtaining the site utilization value influence proportional coefficient theta of each preselected area in the mountainous area to be monitorediWherein λ is1、λ2、λ3Respectively expressed as the influence factors of the site utilization value coefficient, alphajAnd expressing the influence weight coefficient corresponding to the j type geology.
7. The mountainous area electric power engineering site selection method based on oblique photography modeling as claimed in claim 1, wherein: before detecting the shadow occlusion area of each time period in each preselected area in the three-dimensional scene model of the mountainous area to be monitored, the method comprises the following steps:
s51, performing daily illumination simulation on the three-dimensional scene model of the mountain area to be monitored, measuring the shadow occlusion area of each time period in each preselected area in the three-dimensional scene model of the mountain area to be monitored, and marking the shadow occlusion area of each time period in each preselected area in the three-dimensional scene model of the mountain area to be monitored as S ″iTfWherein f is 1,2,. cndot, u;
s52, and calculating the total area S of each preselected area in the three-dimensional scene model of the mountain area to be monitorediShadow occlusion area s' of each time period in each preselected area in three-dimensional scene model of mountain area to be monitorediTfSubstitution formulaObtaining the average shadow shielding area ratio of each preselected area in the three-dimensional scene model of the mountainous area to be monitored in the unit time period under the daily illumination
8. The mountainous area electric power engineering addressing method based on oblique photography modeling as claimed in claim 1, wherein: the calculation mode of the photovoltaic power construction conformity coefficient of each preselected area in the mountainous area to be monitored is as follows:
the topographic parameter influence proportion coefficient psi of each preselected area in the mountainous area to be monitorediAnd the residual site area S of each preselected area in the three-dimensional scene model of the mountainous area to be monitoredThe residue is leftaiAnd the site utilization value influence proportional coefficient theta of each preselected area in the mountainous area to be monitorediAverage shadow shielding area ratio of each preselected area in three-dimensional scene model of mountainous area to be monitored in unit time period under daily illuminationSubstitution formulaObtaining the photovoltaic power construction conformity coefficient phi of each preselected area in the mountainous area to be monitorediWherein δ1、δ2、δ3Respectively expressed as the influence weight coefficient of the conformity degree of the terrain parameters, the site utilization value and the daily illumination to the photovoltaic power in the mountainous area, SPlan forThe construction area is represented as the planned construction area in the photovoltaic power engineering in the mountainous area.
9. An apparatus, characterized by: the method comprises the following steps: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves a computer program from the non-volatile memory through the network interface when running, and runs the computer program through the memory to execute a slant photography modeling based mountainous area electric power engineering addressing method according to any one of the claims 1 to 8.
10. A computer storage medium, characterized in that: comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the mountain area electric power engineering addressing method based on oblique photography modeling according to any one of the claims 1-8.
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