CN116957414B - Village planning analysis method and device based on artificial intelligence - Google Patents
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Abstract
The invention relates to a village planning analysis method and device based on artificial intelligence, comprising the following steps: calculating a calibration weight matrix according to the calibration judgment matrix, summarizing the calibration weight matrix to obtain a scheme weight matrix, constructing a factor judgment matrix, calculating a criterion weight matrix according to the factor judgment matrix, calculating a factor weighted score according to the scheme weight matrix and the criterion weight matrix, extracting a to-be-selected start-stop path set in a three-dimensional scoring curved surface, obtaining path curve integral of each to-be-selected start-stop path on the three-dimensional scoring curved surface, and selecting a target start-stop path in the to-be-selected start-stop path set according to the path curve integral. The invention also provides a village planning analysis device based on artificial intelligence, electronic equipment and a computer readable storage medium. The invention can solve the problems of poor planning effect and large limitation of the current village road planning mode.
Description
Technical Field
The invention relates to the technical field of village planning, in particular to a village planning analysis method and device based on artificial intelligence, electronic equipment and a computer readable storage medium.
Background
Artificial intelligence is a technology for simulating human thinking, and comprises a plurality of technical means such as machine learning, natural language processing, expert systems and the like. With the development of technology, the development of artificial intelligence technology is rapid, and the application field of artificial intelligence in the current society is more and more extensive.
The current village road planning method mainly comprises the steps of converting various factors into geographic factor data by utilizing a GIS technology, and quantifying factors affecting nature, engineering, population, society and the like of village road planning by utilizing a Fuzzy analytic hierarchy Process (FAHP for short), so that village road planning analysis is realized, but the method can only select the optimal road for the existing road and cannot realize village global road planning, so that the current village road planning method has the problems of poor planning effect and large limitation.
Disclosure of Invention
The invention provides a village planning analysis method and device based on artificial intelligence and a computer readable storage medium, and mainly aims to solve the problems of poor planning effect and large limitation of a current village road planning mode.
In order to achieve the above object, the present invention provides a village planning analysis method based on artificial intelligence, comprising:
acquiring a village map, selecting an equidistant calibration point set on the village map, receiving a road planning factor set, a path starting point and a path ending point, and constructing a hierarchical structure model according to the equidistant calibration point set, the road planning factor set, the path starting point and the path ending point;
sequentially extracting road planning factors from the hierarchical structure model, and constructing a calibration judgment matrix of the road planning factors by using a preset 1-9 scale method according to an equidistant calibration point set;
calculating a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors according to the calibration judgment matrix;
Summarizing calibration weight matrixes of all road planning factors in the road planning factor set to obtain a scheme weight matrix, wherein transverse items of the scheme weight matrix are equidistant calibration points, and column items are road planning factors;
Constructing a factor judgment matrix of the road planning factor set by using the 1-9 scale method, and calculating a criterion weight matrix according to the factor judgment matrix;
Calculating a factor weighting score of each equidistant calibration point in the equidistant calibration point set according to the scheme weight matrix and the criterion weight matrix, wherein a transverse item of the criterion weight matrix only has the weight of a road planning factor, and a column item is the road planning factor;
constructing a three-dimensional scoring curved surface according to the village map, the equidistant calibration point set and the factor weighted scoring of the equidistant calibration points, and extracting a to-be-selected start-stop path set from the three-dimensional scoring curved surface;
And obtaining the path curve integral of each to-be-selected start-stop path in the to-be-selected start-stop path set on the three-dimensional grading curved surface, and selecting a target start-stop path in the to-be-selected start-stop path set according to the path curve integral to complete village planning analysis based on artificial intelligence.
Optionally, the constructing a hierarchical structure model according to the equidistant calibration point set, the road planning factor set, the path starting point and the path ending point includes:
creating a target layer according to the path starting point and the path ending point, constructing a criterion layer according to the road planning factor set, and constructing a scheme layer according to the equidistant calibration point set;
And constructing the hierarchical structure model according to the target layer, the criterion layer and the scheme layer.
Optionally, the constructing the calibration judgment matrix of the road planning factor according to the equidistant calibration point set by using a preset 1-9 scale method includes:
sequencing the equidistant calibration points in the equidistant calibration point set to obtain an equidistant calibration point sequence;
Constructing a calibration matrix to be compared according to the road planning factors and the equidistant calibration point sequences;
Carrying out importance comparison on equidistant calibration points in the equidistant calibration point sequence by using the 1-9 scale method and the calibration matrix to be compared to obtain a calibration judgment matrix to be checked;
obtaining the maximum characteristic value of a calibration judgment matrix to be tested and the order of the calibration matrix;
constructing a consistency index expression according to the maximum eigenvalue of the calibration judgment matrix to be tested and the order of the calibration matrix, and calculating the consistency index of the initial judgment matrix by using the consistency index expression, wherein the consistency index expression is as follows:
wherein Q represents the maximum eigenvalue of the calibration judgment matrix to be inspected, n represents the order of the calibration matrix, and CI represents the consistency index of the calibration judgment matrix to be inspected;
searching the average random consistency index of the calibration judgment matrix to be checked in a pre-constructed average random consistency index table;
Constructing a consistency proportion relation according to the consistency index and the average random consistency index, and calculating the consistency proportion of the calibration judgment matrix to be checked according to the consistency proportion relation, wherein the consistency proportion relation is as follows:
Wherein CR represents the consistency ratio of the calibration judgment matrix to be inspected, CI represents the consistency index of the calibration judgment matrix to be inspected, and RI represents the average random consistency index of the calibration judgment matrix to be inspected;
And checking the consistency ratio by using preset judging parameters to obtain the calibration judging matrix.
Optionally, the calculating, according to the calibration judgment matrix, a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factor includes:
And calculating the weight of each equidistant calibration point in the calibration judgment matrix by using a pre-constructed arithmetic average formula, wherein the arithmetic average formula is as follows:
Wherein ω i represents the weight of the equidistant calibration points corresponding to the ith row in the calibration judgment matrix under the road planning factor, N represents the category number of the equidistant calibration points in the calibration judgment matrix, j represents the column number of the calibration judgment matrix, i represents the row number of the calibration judgment matrix, and a ij represents the element value of the ith row and the jth column in the calibration judgment matrix;
and summarizing the weight of each equidistant calibration point in the calibration judgment matrix to obtain a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors.
Optionally, the constructing the factor judgment matrix of the road planning factor set by using the 1-9 scale method includes:
Sequencing the road planning factors in the road planning factor set to obtain a road planning factor sequence;
constructing a factor matrix to be compared according to the road planning sequence;
carrying out importance comparison on road planning factors in the road planning factor sequence by using the 1-9 scale method and the factor matrix to be compared to obtain a factor judgment matrix to be checked;
And carrying out consistency test on the factor judgment matrix to be tested to obtain the factor judgment matrix.
Optionally, the calculating the factor weighted score of each equidistant calibration point in the equidistant calibration point set according to the scheme weight matrix and the criterion weight matrix includes:
acquiring a factor weight sequence of each equidistant calibration point in the scheme weight matrix;
Calculating the factor weighted score of each equidistant calibration point in the equidistant calibration point set according to the factor weight sequence and the criterion weight matrix by utilizing a pre-constructed comprehensive scoring formula, wherein the comprehensive scoring formula is as follows:
Wherein f q represents the factor weighting score of the q-th equidistant calibration point in the scheme weight matrix, p represents the sequence number of the road planning factors in the criterion weight matrix, M represents the total number of the road planning factors in the criterion weight matrix, And a pq represents the weight of the p-th road planning factor in the criterion weight matrix, and a pq represents the weight of the p-th equidistant calibration point in the scheme weight matrix under the q-th road planning factor.
Optionally, the constructing a three-dimensional scoring curved surface according to the village map, the equidistant calibration point set and the factor weighted scoring of the equidistant calibration points, and extracting the to-be-selected start-stop path set from the three-dimensional scoring curved surface includes:
constructing a two-dimensional calibration coordinate system according to the village map;
establishing a grading coordinate axis in a two-dimensional calibration coordinate system to obtain an initial three-dimensional space coordinate system;
Acquiring the position coordinates of each equidistant calibration point in the equidistant calibration point set, weighting and grading according to factors of the equidistant calibration points, and carrying out point drawing on the equidistant calibration point set in the initial three-dimensional space coordinate system by utilizing the position coordinates of the equidistant calibration points to obtain a calibrated grading three-dimensional point set;
Fitting the calibrated grading three-dimensional point set to obtain a three-dimensional grading curved surface;
A scoring section set is constructed according to a preset scoring cutting interval, scoring sections are sequentially extracted from the bisector section set, and the three-dimensional scoring curved surface is cut by the scoring sections, so that a three-dimensional scoring lower curved surface set and a three-dimensional scoring upper curved surface are obtained;
Acquiring a shortest connecting line segment set between surfaces of adjacent three-dimensional scoring curved surfaces in the three-dimensional scoring curved surface set;
Determining the in-plane shortest connecting line segments of the curved surface under the three-dimensional grading according to the initial connecting point and the end connecting point of each in-plane shortest connecting line segment in the in-plane shortest connecting line segment set, and summarizing the in-plane shortest connecting line segments of all the curved surfaces under the three-dimensional grading to obtain an in-plane shortest connecting line segment set;
Connecting the shortest connecting line segment set between the surfaces and the shortest connecting line segment set in the surfaces to obtain a target shortest connecting line segment;
Connecting the path starting point and the path ending point to the shortest target connecting line segment to obtain a to-be-selected starting and stopping path;
And summarizing the to-be-selected start-stop paths corresponding to all the scoring cut surfaces in the scoring cut surface set to obtain the to-be-selected start-stop path set.
Optionally, the determining the in-plane shortest connecting line segment of the curved surface under the three-dimensional score according to the initial connecting point and the termination connecting point of each of the inter-plane shortest connecting line segments in the inter-plane shortest connecting line segment set includes:
Connecting the initial connection point and the termination connection point to obtain a first in-plane connection line segment;
Acquiring a curved surface lowest point of the curved surface under the three-dimensional score;
connecting the lowest point of the curved surface, the initial connecting point and the termination connecting point to obtain a second in-plane connecting line segment;
Mapping the first in-plane connecting line segment and the second in-plane connecting line segment to the three-dimensional scoring curved surface to obtain a first in-plane connecting curve and a second in-plane connecting curve;
Calculating the integral of the first in-plane connecting curve and the second in-plane connecting curve on the initial three-dimensional space coordinate system to obtain a first in-plane curve integral and a second in-plane curve integral;
Judging whether the first in-plane curve integral is larger than the second in-plane curve integral;
if the first in-plane curve integral is larger than the second in-plane curve integral, taking the second in-plane connecting line segment as the shortest in-plane connecting line segment;
and if the first in-plane curve integral is not greater than the second in-plane curve integral, taking the first in-plane connecting line segment as the shortest in-plane connecting line segment.
Optionally, the obtaining a path curve integral of each candidate start-stop path in the candidate start-stop path set on the three-dimensional scoring curved surface includes:
Mapping the to-be-selected start-stop path on the three-dimensional scoring curved surface to obtain a to-be-selected three-dimensional path curve;
and calculating the integral of the three-dimensional path curve to be selected on the initial three-dimensional space coordinate system to obtain the path curve integral.
In order to solve the above problems, the present invention also provides an artificial intelligence based village planning analysis device, the device comprising:
The scheme weight matrix creation module is used for acquiring a village map, selecting an equidistant calibration point set on the village map, receiving a road planning factor set, a path starting point and a path ending point, and constructing a hierarchical structure model according to the equidistant calibration point set, the road planning factor set, the path starting point and the path ending point; sequentially extracting road planning factors from the hierarchical structure model, and constructing a calibration judgment matrix of the road planning factors by using a preset 1-9 scale method according to an equidistant calibration point set; calculating a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors according to the calibration judgment matrix; summarizing calibration weight matrixes of all road planning factors in the road planning factor set to obtain a scheme weight matrix, wherein transverse items of the scheme weight matrix are equidistant calibration points, and column items are road planning factors;
The criterion weight matrix creating module is used for constructing a factor judgment matrix of the road planning factor set by using the 1-9 scale method, and calculating the criterion weight matrix according to the factor judgment matrix;
The to-be-selected start-stop path set extraction module is used for calculating the factor weighting score of each equidistant calibration point in the equidistant calibration point set according to the scheme weight matrix and the criterion weight matrix, wherein the transverse item of the criterion weight matrix only has the weight of the road planning factor, and the column-wise item is the road planning factor; constructing a three-dimensional scoring curved surface according to the village map, the equidistant calibration point set and the factor weighted scoring of the equidistant calibration points, and extracting a to-be-selected start-stop path set from the three-dimensional scoring curved surface;
the target start-stop path determining module is used for acquiring the path curve integral of each to-be-selected start-stop path in the to-be-selected start-stop path set on the three-dimensional grading curved surface, and selecting a target start-stop path in the to-be-selected start-stop path set according to the path curve integral.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to implement the artificial intelligence based village planning analysis method described above.
In order to solve the above problems, the present invention also provides a computer readable storage medium having at least one instruction stored therein, the at least one instruction being executed by a processor in an electronic device to implement the above-described artificial intelligence-based village planning analysis method.
Compared with the background art, the method comprises the following steps: when planning roads, the method is not limited to the existing roads, but an equidistant calibration point set is selected in a village map, then a target starting and stopping path is formed by selecting proper equidistant calibration points in the equidistant calibration point set, before the target starting and stopping path is acquired, a hierarchical structure model is constructed by the equidistant calibration point set, a road planning factor set, a path starting point and the path ending point, then a calibration judgment matrix of the road planning factor is constructed by a 1-9 scale method according to the equidistant calibration point set, the calibration weight matrix of all the equidistant calibration points in the road planning factor set is calculated by the calibration judgment matrix, a scheme weight matrix is obtained, a rule weight matrix is calculated according to the factor judgment matrix, after the scheme weight matrix and the rule weight matrix are acquired, a three-dimensional score curve can be calculated according to the scheme weight matrix and the rule weight matrix, and then the three-dimensional score curve can be obtained in the three-dimensional score curve, and the three-dimensional score curve can be obtained in the three-dimensional score curve is calculated according to the curve starting and stopping path. Therefore, the village planning analysis method, the village planning analysis device, the electronic equipment and the computer readable storage medium based on the artificial intelligence can solve the problems of poor planning effect and large limitation of the current village road planning mode.
Drawings
FIG. 1 is a flow chart of an artificial intelligence based village planning analysis method according to an embodiment of the invention;
FIG. 2 is a functional block diagram of an artificial intelligence based village planning analysis device according to an embodiment of the invention;
Fig. 3 is a schematic structural diagram of an electronic device for implementing the village planning analysis method based on artificial intelligence according to an embodiment of the invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a village planning analysis method based on artificial intelligence. The execution subject of the village planning analysis method based on artificial intelligence includes, but is not limited to, at least one of a server, a terminal and the like which can be configured to execute the method provided by the embodiment of the application. In other words, the artificial intelligence based village planning analysis method may be performed by software or hardware installed at a terminal device or a server device. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Example 1:
Referring to fig. 1, a schematic flow chart of a village planning analysis method based on artificial intelligence according to an embodiment of the invention is shown. In this embodiment, the village planning analysis method based on artificial intelligence includes:
s1, acquiring a village map, selecting an equidistant calibration point set on the village map, receiving a road planning factor set, a path starting point and a path ending point, and constructing a hierarchical structure model according to the equidistant calibration point set, the road planning factor set, the path starting point and the path ending point.
As can be appreciated, the village map refers to a regional map of a village in a certain area, and may include: residential houses, water bodies, cultivated lands, forest lands, garden lands and other areas. The equidistant calibration point set refers to a calibration point set on the village map according to a preset distance, for example: a set point is set for the distance 1m from front to back and from left to right.
The road planning factor set refers to a preset evaluation factor set of equidistant calibration points for paving roads, for example: slope, construction costs, reciprocal population density, distance from existing roads, and the like.
Further, the path start point and the path end point may be points such as an entrance and an exit of the village. The hierarchical structure model refers to the target layer as follows: the optimal path between the path starting point and the path ending point is determined by the factors of gradient, construction cost, population density reciprocal, reciprocal distance from the existing road and the like, and the scheme layer is determined by equidistant calibration points at various positions in the village map.
In the embodiment of the present invention, the building a hierarchical structure model according to the equidistant calibration point set, the road planning factor set, the path starting point and the path ending point includes:
creating a target layer according to the path starting point and the path ending point, constructing a criterion layer according to the road planning factor set, and constructing a scheme layer according to the equidistant calibration point set;
And constructing the hierarchical structure model according to the target layer, the criterion layer and the scheme layer.
S2, sequentially extracting road planning factors from the hierarchical structure model, and constructing a calibration judgment matrix of the road planning factors by using a preset 1-9 scale method according to an equidistant calibration point set.
Further, the calibration judgment matrix refers to a judgment matrix obtained after mutual importance comparison of the equidistant calibration points with respect to each road planning factor according to a 1-9 scale method. For example: the transverse elements of the calibration judgment matrix are equidistant calibration points 1,2, 3, 4 and … and equidistant calibration points N, the longitudinal elements are equidistant calibration points 1,2, 3, 4 and … and equidistant calibration points N, and the importance of the transverse elements and the longitudinal elements relative to each road planning factor is compared in sequence to obtain the calibration judgment matrix. For example: the importance ratio of the horizontal element equidistant calibration point 1 to the longitudinal element equidistant calibration point 2 in the calibration judgment matrix about the construction cost is 3, which means that the construction cost of paving the road at the equidistant calibration point 1 is 3 times that of the equidistant calibration point 2.
In the embodiment of the present invention, the constructing the calibration judgment matrix of the road planning factor by using a preset 1-9 scale method according to the equidistant calibration point set includes:
sequencing the equidistant calibration points in the equidistant calibration point set to obtain an equidistant calibration point sequence;
Constructing a calibration matrix to be compared according to the road planning factors and the equidistant calibration point sequences;
Carrying out importance comparison on equidistant calibration points in the equidistant calibration point sequence by using the 1-9 scale method and the calibration matrix to be compared to obtain a calibration judgment matrix to be checked;
obtaining the maximum characteristic value of a calibration judgment matrix to be tested and the order of the calibration matrix;
constructing a consistency index expression according to the maximum eigenvalue of the calibration judgment matrix to be tested and the order of the calibration matrix, and calculating the consistency index of the initial judgment matrix by using the consistency index expression, wherein the consistency index expression is as follows:
wherein Q represents the maximum eigenvalue of the calibration judgment matrix to be inspected, n represents the order of the calibration matrix, and CI represents the consistency index of the calibration judgment matrix to be inspected;
searching the average random consistency index of the calibration judgment matrix to be checked in a pre-constructed average random consistency index table;
Constructing a consistency proportion relation according to the consistency index and the average random consistency index, and calculating the consistency proportion of the calibration judgment matrix to be checked according to the consistency proportion relation, wherein the consistency proportion relation is as follows:
Wherein CR represents the consistency ratio of the calibration judgment matrix to be inspected, CI represents the consistency index of the calibration judgment matrix to be inspected, and RI represents the average random consistency index of the calibration judgment matrix to be inspected;
And checking the consistency ratio by using preset judging parameters to obtain the calibration judging matrix.
Further, the consistency ratio may be 0.1.
And S3, calculating a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors according to the calibration judgment matrix.
It can be understood that the calibration weight matrix refers to a matrix obtained by weighting each equidistant calibration point in the calibration judgment matrix with respect to a certain road planning factor.
In the embodiment of the present invention, the calculating, according to the calibration judgment matrix, a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factor includes:
And calculating the weight of each equidistant calibration point in the calibration judgment matrix by using a pre-constructed arithmetic average formula, wherein the arithmetic average formula is as follows:
Wherein ω i represents the weight of the equidistant calibration points corresponding to the ith row in the calibration judgment matrix under the road planning factor, N represents the category number of the equidistant calibration points in the calibration judgment matrix, j represents the column number of the calibration judgment matrix, i represents the row number of the calibration judgment matrix, and a ij represents the element value of the ith row and the jth column in the calibration judgment matrix;
and summarizing the weight of each equidistant calibration point in the calibration judgment matrix to obtain a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors.
Further, the weight calculation method of the equidistant calibration points can be an arithmetic average method, a geometric average method and a eigenvalue method.
And S4, summarizing the calibration weight matrixes of all the road planning factors in the road planning factor set to obtain a scheme weight matrix, wherein transverse items of the scheme weight matrix are equidistant calibration points, and column-wise items are road planning factors.
It is understood that the scheme weight matrix refers to a weight matrix of a scheme layer.
S5, constructing a factor judgment matrix of the road planning factor set by using the 1-9 scale method, and calculating a criterion weight matrix according to the factor judgment matrix.
It can be understood that the factor judgment matrix refers to a judgment matrix obtained by comparing the importance of a road planning factor set by using a 1-9 scale method, the transverse elements of the matrix can be gradient, construction cost, population density reciprocal and distance reciprocal from the existing road in sequence, the longitudinal elements of the matrix can be gradient, construction cost, population density reciprocal and distance reciprocal from the existing road in sequence, and when the value of the first row and the second column in the factor judgment matrix is 5, the gradient of the equidistant calibration points is 2 times of the importance of the construction cost. The criterion weight matrix refers to the weight matrix obtained after the weights of the factor judgment matrix are obtained, and similarly, the weight matrix can be calculated by using an arithmetic average method, and the details are not repeated here.
In the embodiment of the present invention, the constructing the factor judgment matrix of the road planning factor set by using the 1-9 scale method includes:
Sequencing the road planning factors in the road planning factor set to obtain a road planning factor sequence;
constructing a factor matrix to be compared according to the road planning sequence;
carrying out importance comparison on road planning factors in the road planning factor sequence by using the 1-9 scale method and the factor matrix to be compared to obtain a factor judgment matrix to be checked;
And carrying out consistency test on the factor judgment matrix to be tested to obtain the factor judgment matrix.
And S6, calculating the factor weighting score of each equidistant calibration point in the equidistant calibration point set according to the scheme weight matrix and the criterion weight matrix, wherein the transverse item of the criterion weight matrix only has the weight of the road planning factor, and the column-wise item is the road planning factor.
In the embodiment of the present invention, the calculating the factor weighting score of each equidistant calibration point in the equidistant calibration point set according to the scheme weight matrix and the criterion weight matrix includes:
acquiring a factor weight sequence of each equidistant calibration point in the scheme weight matrix;
Calculating the factor weighted score of each equidistant calibration point in the equidistant calibration point set according to the factor weight sequence and the criterion weight matrix by utilizing a pre-constructed comprehensive scoring formula, wherein the comprehensive scoring formula is as follows:
Wherein f q represents the factor weighting score of the q-th equidistant calibration point in the scheme weight matrix, p represents the sequence number of the road planning factors in the criterion weight matrix, M represents the total number of the road planning factors in the criterion weight matrix, And a pq represents the weight of the p-th road planning factor in the criterion weight matrix, and a pq represents the weight of the p-th equidistant calibration point in the scheme weight matrix under the q-th road planning factor.
Further, for example: when the weights of the equidistant calibration points 10 under the slope, construction cost, population density reciprocal and the reciprocal distance from the existing road are respectively 0.17, 0.36, 0.29 and 0.18, and the weights of the criterion weight matrix under the slope, construction cost, population density reciprocal and the reciprocal distance from the existing road are respectively 0.05, 0.28, 0.37 and 0.30, the factor weighting score of the equidistant calibration points 10 is 0.17×0.05+0.36×0.28+0.29×0.37+0.18×0.30= 0.2706. When the factor weighted score of equidistant calibration point 11 is 0.3706, it means that equidistant calibration point 10 is better than equidistant calibration point 11 as a road paving point.
And S7, constructing a three-dimensional scoring curved surface according to the village map, the equidistant calibration point set and the factor weighted scoring of the equidistant calibration points, and extracting a to-be-selected start-stop path set from the three-dimensional scoring curved surface.
It can be understood that the three-dimensional scoring surface refers to a factor weighted scoring surface of equidistant calibration points at different positions, and the to-be-selected start-stop path set refers to a to-be-selected start-stop path set.
In the embodiment of the present invention, the step of constructing a three-dimensional scoring surface according to the village map, the equidistant calibration point set and the factor weighted scoring of the equidistant calibration points, and extracting a to-be-selected start-stop path set from the three-dimensional scoring surface includes:
constructing a two-dimensional calibration coordinate system according to the village map;
establishing a grading coordinate axis in a two-dimensional calibration coordinate system to obtain an initial three-dimensional space coordinate system;
Acquiring the position coordinates of each equidistant calibration point in the equidistant calibration point set, weighting and grading according to factors of the equidistant calibration points, and carrying out point drawing on the equidistant calibration point set in the initial three-dimensional space coordinate system by utilizing the position coordinates of the equidistant calibration points to obtain a calibrated grading three-dimensional point set;
Fitting the calibrated grading three-dimensional point set to obtain a three-dimensional grading curved surface;
A scoring section set is constructed according to a preset scoring cutting interval, scoring sections are sequentially extracted from the bisector section set, and the three-dimensional scoring curved surface is cut by the scoring sections, so that a three-dimensional scoring lower curved surface set and a three-dimensional scoring upper curved surface are obtained;
Acquiring a shortest connecting line segment set between surfaces of adjacent three-dimensional scoring curved surfaces in the three-dimensional scoring curved surface set;
Determining the in-plane shortest connecting line segments of the curved surface under the three-dimensional grading according to the initial connecting point and the end connecting point of each in-plane shortest connecting line segment in the in-plane shortest connecting line segment set, and summarizing the in-plane shortest connecting line segments of all the curved surfaces under the three-dimensional grading to obtain an in-plane shortest connecting line segment set;
Connecting the shortest connecting line segment set between the surfaces and the shortest connecting line segment set in the surfaces to obtain a target shortest connecting line segment;
Connecting the path starting point and the path ending point to the shortest target connecting line segment to obtain a to-be-selected starting and stopping path;
And summarizing the to-be-selected start-stop paths corresponding to all the scoring cut surfaces in the scoring cut surface set to obtain the to-be-selected start-stop path set.
It can be understood that the scoring plane set refers to a plane set which is spaced by a preset factor weighting score and is parallel to the two-dimensional calibration coordinate system, and factor weighting scores of equidistant calibration points on the scoring plane are equal. The three-dimensional grading lower curved surface set refers to a curved surface below the grading section in a three-dimensional grading curved surface, and may be 1 or more, and the three-dimensional grading upper curved surface refers to a curved surface above the grading section in the three-dimensional grading curved surface.
It is understood that the inter-plane shortest connecting line segment set refers to a shortest straight connecting path set between curved surfaces under adjacent three-dimensional score, and is parallel to the score plane. The shortest in-plane connecting line segment refers to a line segment with the smallest integral of the curve on the two-dimensional calibration coordinate system, which is obtained by mapping the curve on the three-dimensional grading curved surface under the three-dimensional grading, and the shortest in-plane connecting line segment is parallel to the grading tangential plane.
In the embodiment of the present invention, the determining the in-plane shortest connecting line segment of the curved surface under the three-dimensional score according to the initial connecting point and the termination connecting point of each inter-plane shortest connecting line segment in the inter-plane shortest connecting line segment set includes:
Connecting the initial connection point and the termination connection point to obtain a first in-plane connection line segment;
Acquiring a curved surface lowest point of the curved surface under the three-dimensional score;
connecting the lowest point of the curved surface, the initial connecting point and the termination connecting point to obtain a second in-plane connecting line segment;
Mapping the first in-plane connecting line segment and the second in-plane connecting line segment to the three-dimensional scoring curved surface to obtain a first in-plane connecting curve and a second in-plane connecting curve;
Calculating the integral of the first in-plane connecting curve and the second in-plane connecting curve on the initial three-dimensional space coordinate system to obtain a first in-plane curve integral and a second in-plane curve integral;
Judging whether the first in-plane curve integral is larger than the second in-plane curve integral;
if the first in-plane curve integral is larger than the second in-plane curve integral, taking the second in-plane connecting line segment as the shortest in-plane connecting line segment;
and if the first in-plane curve integral is not greater than the second in-plane curve integral, taking the first in-plane connecting line segment as the shortest in-plane connecting line segment.
The first in-plane connecting line segment and the second in-plane connecting line segment are parallel to the scoring section.
S8, obtaining path curve integration of each to-be-selected start-stop path in the to-be-selected start-stop path set on the three-dimensional scoring curved surface, and selecting a target start-stop path in the to-be-selected start-stop path set according to the path curve integration to complete village planning analysis based on artificial intelligence.
In the embodiment of the present invention, the obtaining the path curve integral of each to-be-selected start-stop path in the to-be-selected start-stop path set on the three-dimensional scoring curved surface includes:
Mapping the to-be-selected start-stop path on the three-dimensional scoring curved surface to obtain a to-be-selected three-dimensional path curve;
and calculating the integral of the three-dimensional path curve to be selected on the initial three-dimensional space coordinate system to obtain the path curve integral.
It can be understood that the target start-stop path refers to the start-stop path to be selected with the minimum integral of the path curve in the set of the start-stop paths to be selected.
Further, when the curvature of the to-be-selected start-stop path exceeds a preset curvature threshold value, fine adjustment is performed according to actual conditions.
Compared with the background art, the method comprises the following steps: when planning roads, the method is not limited to the existing roads, but an equidistant calibration point set is selected in a village map, then a target starting and stopping path is formed by selecting proper equidistant calibration points in the equidistant calibration point set, before the target starting and stopping path is acquired, a hierarchical structure model is constructed by the equidistant calibration point set, a road planning factor set, a path starting point and the path ending point, then a calibration judgment matrix of the road planning factor is constructed by a 1-9 scale method according to the equidistant calibration point set, the calibration weight matrix of all the equidistant calibration points in the road planning factor set is calculated by the calibration judgment matrix, a scheme weight matrix is obtained, a rule weight matrix is calculated according to the factor judgment matrix, after the scheme weight matrix and the rule weight matrix are acquired, a three-dimensional score curve can be calculated according to the scheme weight matrix and the rule weight matrix, and then the three-dimensional score curve can be obtained in the three-dimensional score curve, and the three-dimensional score curve can be obtained in the three-dimensional score curve is calculated according to the curve starting and stopping path. Therefore, the village planning analysis method, the village planning analysis device, the electronic equipment and the computer readable storage medium based on the artificial intelligence can solve the problems of poor planning effect and large limitation of the current village road planning mode.
Example 2:
fig. 2 is a functional block diagram of an artificial intelligence-based village planning analysis device according to an embodiment of the present invention.
The village planning analysis device 100 based on artificial intelligence according to the present invention may be installed in an electronic device. Depending on the functions implemented, the artificial intelligence based village planning analysis device 100 may include a solution weight matrix creation module 101, a criterion weight matrix creation module 102, a candidate start-stop path set extraction module 103, and a target start-stop path determination module 104. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
The scheme weight matrix creation module 101 is configured to obtain a village map, select an equidistant calibration point set on the village map, receive a road planning factor set, a path starting point and a path ending point, and construct a hierarchical structure model according to the equidistant calibration point set, the road planning factor set, the path starting point and the path ending point; sequentially extracting road planning factors from the hierarchical structure model, and constructing a calibration judgment matrix of the road planning factors by using a preset 1-9 scale method according to an equidistant calibration point set; calculating a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors according to the calibration judgment matrix; summarizing calibration weight matrixes of all road planning factors in the road planning factor set to obtain a scheme weight matrix, wherein transverse items of the scheme weight matrix are equidistant calibration points, and column items are road planning factors;
the criterion weight matrix creating module 102 is configured to construct a factor judgment matrix of the road planning factor set by using the 1-9 scale method, and calculate a criterion weight matrix according to the factor judgment matrix;
The to-be-selected start-stop path set extraction module 103 is configured to calculate a factor weighting score of each equidistant calibration point in the equidistant calibration point set according to the scheme weight matrix and the criterion weight matrix, where a lateral item of the criterion weight matrix only has a weight of a road planning factor, and a column item is the road planning factor; constructing a three-dimensional scoring curved surface according to the village map, the equidistant calibration point set and the factor weighted scoring of the equidistant calibration points, and extracting a to-be-selected start-stop path set from the three-dimensional scoring curved surface;
The target start-stop path determining module 104 is configured to obtain a path curve integral of each to-be-selected start-stop path in the to-be-selected start-stop path set on the three-dimensional scoring curved surface, and select a target start-stop path in the to-be-selected start-stop path set according to the path curve integral;
In detail, the modules in the village planning analysis device 100 based on artificial intelligence in the embodiment of the present invention use the same technical means as the village planning analysis method based on artificial intelligence described in fig. 1, and can produce the same technical effects, which are not described herein.
Example 3:
fig. 3 is a schematic structural diagram of an electronic device for implementing an artificial intelligence-based village planning analysis method according to an embodiment of the invention.
The electronic device 1 may comprise a processor 10, a memory 11, a bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as an artificial intelligence based village planning analysis program.
Fig. 3 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
The artificial intelligence based village plan analysis program stored by the memory 11 in the electronic device 1 is a combination of instructions which, when executed in the processor 10, may implement the above described artificial intelligence based village plan analysis method.
Specifically, the specific implementation method of the above instruction by the processor 10 may refer to descriptions of related steps in the corresponding embodiments of fig. 1 to 2, which are not repeated herein.
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement the artificial intelligence based village planning analysis method described above.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (5)
1. An artificial intelligence based village planning analysis method, the method comprising:
acquiring a village map, selecting an equidistant calibration point set on the village map, receiving a road planning factor set, a path starting point and a path ending point, and constructing a hierarchical structure model according to the equidistant calibration point set, the road planning factor set, the path starting point and the path ending point;
sequentially extracting road planning factors from the hierarchical structure model, and constructing a calibration judgment matrix of the road planning factors by using a preset 1-9 scale method according to an equidistant calibration point set;
calculating a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors according to the calibration judgment matrix;
Summarizing calibration weight matrixes of all road planning factors in the road planning factor set to obtain a scheme weight matrix, wherein transverse items of the scheme weight matrix are equidistant calibration points, and column items are road planning factors;
Constructing a factor judgment matrix of the road planning factor set by using the 1-9 scale method, and calculating a criterion weight matrix according to the factor judgment matrix;
Calculating a factor weighting score of each equidistant calibration point in the equidistant calibration point set according to the scheme weight matrix and the criterion weight matrix, wherein a transverse item of the criterion weight matrix only has the weight of a road planning factor, and a column item is the road planning factor;
constructing a three-dimensional scoring curved surface according to the village map, the equidistant calibration point set and the factor weighted scoring of the equidistant calibration points, and extracting a to-be-selected start-stop path set from the three-dimensional scoring curved surface;
obtaining path curve integration of each to-be-selected start-stop path in the to-be-selected start-stop path set on the three-dimensional scoring curved surface, and selecting a target start-stop path in the to-be-selected start-stop path set according to the path curve integration to complete village planning analysis based on artificial intelligence;
the calibration judgment matrix of the road planning factors is constructed by utilizing a preset 1-9 scale method according to the equidistant calibration point set, and the method comprises the following steps:
sequencing the equidistant calibration points in the equidistant calibration point set to obtain an equidistant calibration point sequence;
Constructing a calibration matrix to be compared according to the road planning factors and the equidistant calibration point sequences;
Carrying out importance comparison on equidistant calibration points in the equidistant calibration point sequence by using the 1-9 scale method and the calibration matrix to be compared to obtain a calibration judgment matrix to be checked;
obtaining the maximum characteristic value of a calibration judgment matrix to be tested and the order of the calibration matrix;
constructing a consistency index expression according to the maximum eigenvalue of the calibration judgment matrix to be tested and the order of the calibration matrix, and calculating the consistency index of the initial judgment matrix by using the consistency index expression, wherein the consistency index expression is as follows:
wherein Q represents the maximum eigenvalue of the calibration judgment matrix to be inspected, n represents the order of the calibration matrix, and CI represents the consistency index of the calibration judgment matrix to be inspected;
searching the average random consistency index of the calibration judgment matrix to be checked in a pre-constructed average random consistency index table;
Constructing a consistency proportion relation according to the consistency index and the average random consistency index, and calculating the consistency proportion of the calibration judgment matrix to be checked according to the consistency proportion relation, wherein the consistency proportion relation is as follows:
Wherein CR represents the consistency ratio of the calibration judgment matrix to be inspected, CI represents the consistency index of the calibration judgment matrix to be inspected, and RI represents the average random consistency index of the calibration judgment matrix to be inspected;
Checking the consistency ratio by using preset judging parameters to obtain the calibration judging matrix;
calculating a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors according to the calibration judgment matrix, wherein the calibration weight matrix comprises the following components:
And calculating the weight of each equidistant calibration point in the calibration judgment matrix by using a pre-constructed arithmetic average formula, wherein the arithmetic average formula is as follows:
Wherein ω i represents the weight of the equidistant calibration points corresponding to the ith row in the calibration judgment matrix under the road planning factor, N represents the category number of the equidistant calibration points in the calibration judgment matrix, j represents the column number of the calibration judgment matrix, i represents the row number of the calibration judgment matrix, and a ij represents the element value of the ith row and the jth column in the calibration judgment matrix;
summarizing the weight of each equidistant calibration point in the calibration judgment matrix to obtain a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors;
The method for constructing a three-dimensional scoring curved surface according to the village map, the equidistant calibration point set and the factor weighted scoring of the equidistant calibration points, extracting a to-be-selected start-stop path set from the three-dimensional scoring curved surface comprises the following steps:
constructing a two-dimensional calibration coordinate system according to the village map;
establishing a grading coordinate axis in a two-dimensional calibration coordinate system to obtain an initial three-dimensional space coordinate system;
Acquiring the position coordinates of each equidistant calibration point in the equidistant calibration point set, weighting and grading according to factors of the equidistant calibration points, and carrying out point drawing on the equidistant calibration point set in the initial three-dimensional space coordinate system by utilizing the position coordinates of the equidistant calibration points to obtain a calibrated grading three-dimensional point set;
Fitting the calibrated grading three-dimensional point set to obtain a three-dimensional grading curved surface;
A scoring section set is constructed according to a preset scoring cutting interval, scoring sections are sequentially extracted from the scoring section set, and the three-dimensional scoring curved surface is cut by the scoring sections, so that a three-dimensional scoring lower curved surface set and a three-dimensional scoring upper curved surface are obtained;
Acquiring a shortest connecting line segment set between surfaces of adjacent three-dimensional scoring curved surfaces in the three-dimensional scoring curved surface set;
Determining the in-plane shortest connecting line segments of the curved surface under the three-dimensional grading according to the initial connecting point and the end connecting point of each in-plane shortest connecting line segment in the in-plane shortest connecting line segment set, and summarizing the in-plane shortest connecting line segments of all the curved surfaces under the three-dimensional grading to obtain an in-plane shortest connecting line segment set;
Connecting the shortest connecting line segment set between the surfaces and the shortest connecting line segment set in the surfaces to obtain a target shortest connecting line segment;
Connecting the path starting point and the path ending point to the shortest target connecting line segment to obtain a to-be-selected starting and stopping path;
summarizing the to-be-selected start-stop paths corresponding to all the scoring cut surfaces in the scoring cut surface set to obtain a to-be-selected start-stop path set;
The determining the in-plane shortest connecting line segment of the curved surface under the three-dimensional score according to the initial connecting point and the final connecting point of each inter-plane shortest connecting line segment in the inter-plane shortest connecting line segment set comprises the following steps:
Connecting the initial connection point and the termination connection point to obtain a first in-plane connection line segment;
Acquiring a curved surface lowest point of the curved surface under the three-dimensional score;
connecting the lowest point of the curved surface, the initial connecting point and the termination connecting point to obtain a second in-plane connecting line segment;
Mapping the first in-plane connecting line segment and the second in-plane connecting line segment to the three-dimensional scoring curved surface to obtain a first in-plane connecting curve and a second in-plane connecting curve;
Calculating the integral of the first in-plane connecting curve and the second in-plane connecting curve on the initial three-dimensional space coordinate system to obtain a first in-plane curve integral and a second in-plane curve integral;
Judging whether the first in-plane curve integral is larger than the second in-plane curve integral;
if the first in-plane curve integral is larger than the second in-plane curve integral, taking the second in-plane connecting line segment as the shortest in-plane connecting line segment;
if the first in-plane curve integral is not greater than the second in-plane curve integral, the first in-plane connecting line segment is used as the shortest in-plane connecting line segment;
The obtaining the path curve integral of each to-be-selected start-stop path in the to-be-selected start-stop path set on the three-dimensional scoring curved surface comprises the following steps:
Mapping the to-be-selected start-stop path on the three-dimensional scoring curved surface to obtain a to-be-selected three-dimensional path curve;
and calculating the integral of the three-dimensional path curve to be selected on the initial three-dimensional space coordinate system to obtain the path curve integral.
2. The village planning analysis method according to claim 1, wherein the constructing a hierarchical model according to the equidistant calibration point set, road planning factor set, path starting point and path ending point comprises:
creating a target layer according to the path starting point and the path ending point, constructing a criterion layer according to the road planning factor set, and constructing a scheme layer according to the equidistant calibration point set;
And constructing the hierarchical structure model according to the target layer, the criterion layer and the scheme layer.
3. The village planning analysis method according to claim 1, wherein said constructing a factor determination matrix of said road planning factor set using said 1-9 scale method comprises:
Sequencing the road planning factors in the road planning factor set to obtain a road planning factor sequence;
Constructing a factor matrix to be compared according to the road planning sequence;
carrying out importance comparison on road planning factors in the road planning factor sequence by using the 1-9 scale method and the factor matrix to be compared to obtain a factor judgment matrix to be checked;
And carrying out consistency test on the factor judgment matrix to be tested to obtain the factor judgment matrix.
4. The village planning analysis method according to claim 1, wherein said calculating a factor weighted score for each equidistant set of points based on said scheme weight matrix and said criterion weight matrix comprises:
acquiring a factor weight sequence of each equidistant calibration point in the scheme weight matrix;
Calculating the factor weighted score of each equidistant calibration point in the equidistant calibration point set according to the factor weight sequence and the criterion weight matrix by utilizing a pre-constructed comprehensive scoring formula, wherein the comprehensive scoring formula is as follows:
Wherein f q represents the factor weighting score of the q-th equidistant calibration point in the scheme weight matrix, p represents the sequence number of the road planning factors in the criterion weight matrix, M represents the total number of the road planning factors in the criterion weight matrix, And a pq represents the weight of the p-th road planning factor in the criterion weight matrix, and a pq represents the weight of the p-th equidistant calibration point in the scheme weight matrix under the q-th road planning factor.
5. A village planning analysis device based on artificial intelligence for implementing a village planning analysis method as claimed in any one of claims 1 to 4, the device comprising:
The scheme weight matrix creation module is used for acquiring a village map, selecting an equidistant calibration point set on the village map, receiving a road planning factor set, a path starting point and a path ending point, and constructing a hierarchical structure model according to the equidistant calibration point set, the road planning factor set, the path starting point and the path ending point; sequentially extracting road planning factors from the hierarchical structure model, and constructing a calibration judgment matrix of the road planning factors by using a preset 1-9 scale method according to an equidistant calibration point set; calculating a calibration weight matrix of each equidistant calibration point in the equidistant calibration point set under the road planning factors according to the calibration judgment matrix; summarizing calibration weight matrixes of all road planning factors in the road planning factor set to obtain a scheme weight matrix, wherein transverse items of the scheme weight matrix are equidistant calibration points, and column items are road planning factors;
The criterion weight matrix creating module is used for constructing a factor judgment matrix of the road planning factor set by using the 1-9 scale method, and calculating the criterion weight matrix according to the factor judgment matrix;
The to-be-selected start-stop path set extraction module is used for calculating the factor weighting score of each equidistant calibration point in the equidistant calibration point set according to the scheme weight matrix and the criterion weight matrix, wherein the transverse item of the criterion weight matrix only has the weight of the road planning factor, and the column-wise item is the road planning factor; constructing a three-dimensional scoring curved surface according to the village map, the equidistant calibration point set and the factor weighted scoring of the equidistant calibration points, and extracting a to-be-selected start-stop path set from the three-dimensional scoring curved surface;
the target start-stop path determining module is used for acquiring the path curve integral of each to-be-selected start-stop path in the to-be-selected start-stop path set on the three-dimensional grading curved surface, and selecting a target start-stop path in the to-be-selected start-stop path set according to the path curve integral.
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