CN116934378A - Urban and rural fusion test area ecological product supply capacity measuring and calculating method and system - Google Patents

Urban and rural fusion test area ecological product supply capacity measuring and calculating method and system Download PDF

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CN116934378A
CN116934378A CN202310196971.7A CN202310196971A CN116934378A CN 116934378 A CN116934378 A CN 116934378A CN 202310196971 A CN202310196971 A CN 202310196971A CN 116934378 A CN116934378 A CN 116934378A
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李志刚
钟佳龙
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Chengdu Univeristy of Technology
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Abstract

The application provides a method for measuring and calculating the supply capacity of ecological products in urban and rural fusion test areas, which comprises the following steps: s1, based on a natural language processing model, acquiring the type and the discrimination index of an ecological product from a document advertised by a related document of the ecological product; s2, acquiring corresponding ecological product data of the specified time of the area to be calculated based on the discrimination index; s3, inputting the ecological product data into a supply background-supply capacity-quality stability-supply efficiency-development intensity and influence model, and outputting to obtain the comprehensive index of the regional ecological product supply capacity. According to the comprehensive supply capacity measuring and calculating method, comprehensive supply capacity measuring and calculating is carried out from the identification of the ecological products to the full period of the development influence of the ecological products, and the comprehensive supply capacity measuring and calculating is more scientific and comprehensive for the full period of the planning and development of the ecological products in the area.

Description

Urban and rural fusion test area ecological product supply capacity measuring and calculating method and system
Technical Field
The application relates to the technical field of natural language processing, remote sensing and geospatial, in particular to a method and a system for measuring and calculating the ecological product supply capacity of urban and rural fusion test areas.
Background
An ecological product (ecological products) refers to the end product or service that the ecosystem provides for human replication through the co-action of biological production and human production. The ecological product has obvious Chinese characteristics, cannot be equivalent to the ecological system service, is ecological service which can be marketed in the total value of the ecological system production, and has a range smaller than the type of the ecological system service included in the accounting of the total value of the ecological system production. According to the related theory of ecological product value realization, the ecological system service (ecosystem services) has product attributes under human intervention so as to meet the requirements of human welfare improvement, and meanwhile, the sustainable function of the ecological system is ensured. The country explores the realization way of the value of the ecological products in the independent administrative areas by means of construction of the ecological civilization demonstration area (total of 380 5 batches), practical innovation bases (total of 136 5 batches) and the like. Different areas explore the development mode with reference significance according to the self conditions. 11 test areas crossing administrative areas are proposed in the national urban and rural fusion development test area reform scheme, which marks that the value realization mode of ecological products needs to be popularized in the whole domain. Aiming at the ecological system service productization stage in the global ecological product value realization approach, the following problems exist:
1) The differences of natural environment, humane environment and the like in the region exist in a plurality of ecological products suitable for development, and different forms of development modes are required to be combined, so that the space deployment of the ecological products can be scientifically designed.
2) How to effectively describe the life cycle of the ecological product and establish a comprehensive supply capacity measuring and calculating model.
The related research of the existing ecological products can be divided into a research method and objects: and three types of ecological asset accounting and evaluation, ecological product value theory and ecological product practice analysis. The ecological asset accounting and evaluation mainly takes natural and scientific methods as main methods, and analyzes and evaluates the functions of an ecological system, including ES evaluation (carbon fixation, oxygen release, water and soil conservation and the like), ES flow process analysis, ES change and land utilization relation and the like. And carrying out value evaluation by using methods such as market price, shadow price and the like on the basis of the quality evaluation. The related research of the ecological product value theory is to reproduce the essence in a valuable society and analyze the effect of stakeholders of all parties on a product chain. The relevant research of the practical analysis of the ecological products is mainly based on specific cases, the success key factors in the cases are summarized, and the ecological products are classified.
These studies lay the theoretical and methodological basis for solving the above problems, however, the current studies have certain disadvantages in solving the above problems:
1) Spatial scale mismatch. The existing researches are mostly carried out on the pixel scale, however, the space range corresponding to the ecological product is generally larger, and the ecological product has the characteristic of complex landscape aiming at the special tourism type ecological product, and is difficult to effectively identify on the pixel scale.
2) The ecological product classification system has weak applicability. The existing ecological product classification system is constructed according to the service characteristics or the value expression characteristics of an ecological system in theory. In combination with the pilot practice cases, the existing system can be basically included in a large class, but the existing viable ecological products are not arranged and described.
Disclosure of Invention
The application provides a method and a system for measuring and calculating the supply capacity of ecological products in urban and rural fusion test areas, which are used for measuring and calculating the comprehensive supply capacity in a full period from ecological product identification to ecological product development influence.
On the one hand, the embodiment of the application discloses a method for measuring and calculating the ecological product supply capacity of an urban and rural fusion test area, which comprises the following steps:
s1, based on a natural language processing model, acquiring the type and the discrimination index of an ecological product from a document advertised by a related document of the ecological product;
s2, acquiring corresponding ecological product data of the specified time of the area to be calculated based on the discrimination index;
s3, inputting the ecological product data into a supply background-supply capacity-quality stability-supply efficiency-development intensity and influence model, and outputting to obtain an urban and rural fusion test area ecological product supply capacity comprehensive index.
In some embodiments, in S1, the process of obtaining the type and the discrimination index of the ecological product is: and extracting key information from documents advertised by related documents of the ecological product, wherein the key information comprises a test point natural background, a general scheme of the test point, test point success and teaching, extracting key words and key sentences by adopting a TextRank algorithm in the natural language processing field, and classifying the key words and the key sentences into corresponding contents.
In some embodiments, S1 comprises:
s11, making a text data set, which specifically comprises the following steps:
deleting pictures, picture names, irrelevant notes and titles in the relevant report documents of the practice innovation base, and splicing all cleaned documents together to serve as a basic data set;
s12, segmenting a text and constructing a similarity matrix, wherein the method specifically comprises the following steps:
dividing the text into independent complete sentences, further dividing the text into words and filtering out words without parts of speech, namely:
wherein T represents the total text data set, T i Represent independent statements, t i,j Representing a word having part of speech;
providing a window threshold K, wherein two words which are simultaneously appeared in the threshold range have relevance, and the weight relation of the two words with relevance is calculated by the following formula:
wherein WT (t) i ) Representing node t i Weight value of In (t) i ) Representing node t i Precursor node set, out (t j ) Representing node t j D is a smoothing function, ω jijk For node t j To node t i /t k Weight of (2); giving initial weights of word nodes, and then iteratively updating the weights of the words until the weight values converge;
s13, extracting keywords of ecological products, wherein the keywords are specifically as follows:
sorting all words according to weight, selecting the words with weights at the upper 4 bits as candidate ecological product keywords, and forming an ecological product text description characteristic data set;
s14, classifying keywords of ecological products, wherein the keywords are specifically as follows:
and clustering the text description characteristic data set of the ecological product by using Birch hierarchical clustering to obtain a classification system of the ecological product.
In some embodiments, S14 comprises:
s141, traversing all the word sets of the key ecological products to construct a cluster feature tree;
s142, clustering leaf nodes of the clustering feature tree by adopting a hierarchical clustering algorithm, deleting category node sets with small quantity, and merging category node sets with large quantity;
wherein, the category discrimination capability of the word node is calculated by the following formula:
wherein TF is i df is a score that node i can be attributed to keyword type D, n represents the weighted distance of two keyword nodes, D represents a keyword classification set, D j Is the keyword in D.
In some embodiments, in S2, the ecological product contained in the area to be measured is determined based on the classification and feature system of the ecological product, and the relevant long time sequence data of the ecological product in the specified time is further obtained.
In some embodiments, the correlated long time series data includes distribution data, yield data, mode of transportation or acquisition and ease of use data, demand data, environmental data, and eco-product symbiotic relationship data.
In some embodiments, in S3, the ecological product data is input to a supply background-supply capacity-quality stability-supply efficiency-development intensity and influence model as:
where ω represents the weight of each dimension, ω bcsei =1; b represents the area of the adaptive land type developed by the ecological product supplied to the local area; c represents the supply capacity, if it is at a different placeThe ecological products consumed are expressed by the completeness of transportation facilities of the products, and if the ecological products are non-local consumer products such as travel products, the ecological products are expressed by the convenience degree of transportation; s represents the quality stability of the ecological product, and is represented by the increasing and decreasing amplitude of the consumption of the ecological product; e represents the feed efficiency, expressed by the yield of the ecological product; i represents development intensity and environmental influence of the ecological product, and is represented by environmental change.
In some embodiments, the regional statistics is performed on each dimension index feature in the urban and rural fusion test area, the standardization is performed by using the Z-score due to the difference of each index measurement unit, the influence of abnormal values is reduced, the discrete standardization is performed, the interval stretching of numerical values is realized, the processing is convenient, and the calculation formula is as follows:
wherein x is an original value, x' is a normalized calculated intermediate value, mu is a mean value, delta is a data standard deviation, min is a minimum function, and max is a maximum operation; x's' s The standard value after treatment;
in the calculation of the ecological product supply capacity C and the quality stability S, the space density of various point-shaped/linear geographic elements needs to be analyzed, the calculation is performed by using a nuclear density algorithm, and the calculation formula is as follows:
wherein x is i Dis as an input element i The distance from the element to any point in the range is shown as r, and the searching radius is shown as r;
measuring and calculating the development intensity of the ecological product and the change quantity of the remote sensing ecological index for the environmental impact I, and indicating the forward impact if the remote sensing ecological index is increased after the ecological product is developed; the remote sensing ecological index can be calculated by only using Landsat 8 OLI data, and the formula is as follows:
RSEI=f(G,W,LST,NDBSI);
wherein f represents principal component analysis, G represents greenness, W represents humidity, LST represents surface temperature, NDBSI represents dryness, and the calculation formula is as follows:
G=(ρ 54 )/(ρ 54 );
W=0.1511ρ 2 +0.1972ρ 3 +0.3283ρ 4 +0.3407ρ 5 -0.7117ρ 6 -0.4559ρ 7
NDBSI=(IBI+SI)/2;
wherein:
wherein:
ρ i represents the value of the ith band of Landsat 8 OLI data.
On the other hand, the embodiment of the application discloses an urban and rural fusion test area ecological product supply capacity measuring and calculating system, which comprises the following components:
the ecological product type and discrimination index acquisition module is used for acquiring the ecological product type and discrimination index from documents advertised by the ecological product related documents based on the natural language processing model;
the ecological product data acquisition module is used for acquiring corresponding ecological product data of the region to be calculated in the appointed time based on the discrimination index;
and the urban and rural fusion test area ecological product supply capacity comprehensive index acquisition module is used for inputting the ecological product data into a supply background-supply capacity-quality stability-supply efficiency-development strength and influence model and outputting to obtain the urban and rural fusion test area ecological product supply capacity comprehensive index.
In some embodiments, the urban and rural fusion test area ecological product supply capability measurement system further comprises:
the processor is connected with the type and discrimination index acquisition module of the ecological product, the ecological product data acquisition module and the comprehensive index acquisition module of the ecological product supply capacity of the urban and rural fusion test area;
a memory coupled to the processor and storing a computer program executable on the processor; when the processor executes the computer program, the processor controls the type and discrimination index acquisition module, the ecological product data acquisition module and the urban and rural fusion test area ecological product supply capacity comprehensive index acquisition module to work so as to realize the urban and rural fusion test area ecological product supply capacity measuring and calculating method.
In summary, the application has at least the following advantages:
the method comprises the steps of obtaining the type and the discrimination index of an ecological product from a document advertised by an ecological product related document based on a natural language processing model; acquiring corresponding ecological product data of the designated time of the urban and rural fusion test area to be measured and calculated according to the discrimination indexes; and inputting the ecological product data into a supply background-supply capacity-quality stability-supply efficiency-development intensity and influence model, and outputting an ecological product supply comprehensive index of the urban and rural fusion test area. And generating an ecological product comprehensive measurement result according to the ecological product comprehensive measurement model. The comprehensive supply capacity of the whole period of the planning and development of the ecological products in the urban and rural fusion test area is calculated more scientifically and comprehensively.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of steps of a method for measuring and calculating the ecological product supply capacity of an urban and rural fusion test area according to the application.
Fig. 2 is a schematic block diagram of a system for measuring and calculating the ecological product supply capacity of urban and rural fusion test areas according to the application.
Fig. 3 is a schematic diagram of the ecological product supply capacity of the western region of the SC province CD city, which is involved in the present application.
Detailed Description
Hereinafter, only certain exemplary embodiments are briefly described. As will be recognized by those of skill in the pertinent art, the described embodiments may be modified in numerous different ways without departing from the spirit or scope of the embodiments of the present application. Accordingly, the drawings and description are to be regarded as illustrative in nature and not as restrictive.
The following disclosure provides many different implementations, or examples, for implementing different configurations of embodiments of the application. In order to simplify the disclosure of embodiments of the present application, components and arrangements of specific examples are described below. Of course, they are merely examples and are not intended to limit embodiments of the present application. Furthermore, embodiments of the present application may repeat reference numerals and/or letters in the various examples, which are for the purpose of brevity and clarity, and which do not themselves indicate the relationship between the various embodiments and/or arrangements discussed.
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, one aspect of the embodiment of the application discloses a method for measuring and calculating the ecological product supply capacity of an urban and rural fusion test area, which comprises the following steps:
s1, based on a natural language processing model, acquiring the type and the discrimination index of an ecological product from a document advertised by a related document of the ecological product;
s2, acquiring corresponding ecological product data of the specified time of the area to be calculated based on the discrimination index;
s3, inputting the ecological product data into a supply background-supply capacity-quality stability-supply efficiency-development intensity and influence model (BBSEI), and outputting to obtain the comprehensive index of the ecological product supply capacity of the urban and rural fusion test area.
In some embodiments, in S1, the process of obtaining the type and the discrimination index of the ecological product is: and extracting key information from documents advertised by the related documents of the ecological products, wherein the key information comprises a test point natural background, a scheme (approximate scheme) of the test point and test point effects and revelation, extracting keywords (keys) and keywords (sences) by using a TextRank algorithm in the field of natural language processing, and classifying the keywords (sences) into corresponding contents.
In some embodiments, S1 comprises:
s11, making a text data set, which specifically comprises the following steps:
deleting information such as pictures, picture names, irrelevant notes, titles and the like in the report documents related to the practice innovation base, and splicing all cleaned documents together to serve as a basic data set;
s12, segmenting a text and constructing a similarity matrix, wherein the method specifically comprises the following steps:
dividing the text into independent complete sentences, further dividing the text into words and filtering out words without parts of speech, namely:
wherein T represents the total text data set, T i Represent independent statements, t i,j Representing a word having part of speech;
providing a window threshold K, wherein two words which are simultaneously appeared in the threshold range have relevance, and the weight relation of the two words with relevance is calculated by the following formula:
wherein WT (t) i ) Representing node t i Weight value of In (t) i ) Representing node t i Precursor node set, out (t j ) Representing node t j D is a smoothing function, ω jijk For node t j To node t i /t k Weight of (2); giving initial weights of word nodes, and then iteratively updating the weights of the words until the weight values converge;
s13, extracting keywords of ecological products, wherein the keywords are specifically as follows:
sorting all words according to weight, selecting the words with weights at the upper 4 bits as candidate ecological product keywords, and forming an ecological product text description characteristic data set;
s14, classifying keywords of ecological products, wherein the keywords are specifically as follows:
and clustering the text description characteristic data set of the ecological product by using Birch hierarchical clustering (Balanced Iterative Reducing and Clustering Using Hierarchies) to obtain a classification system of the ecological product.
In some embodiments, S14 comprises:
s141, traversing all the word sets of the key ecological products to construct a cluster feature tree (CF-tree);
s142, clustering leaf nodes of the clustering feature tree by adopting a hierarchical clustering algorithm, deleting category node sets with small quantity, and merging category node sets with large quantity;
wherein, the category discrimination capability of the word node is calculated by the following formula:
wherein TF is i df is the score of the attribution of the node i and the keyword type D, n represents the weight distance between two keyword nodes, D represents the keyword classification set, D j Is the keyword in D.
In some embodiments, in S2, the ecological product contained in the area to be measured is determined based on the classification and feature system of the ecological product, and the relevant long time sequence data of the ecological product in the specified time is further obtained.
In some embodiments, the correlated long time series data includes distribution data, yield data, mode of transportation or acquisition and ease of use data, demand data, environmental data, and eco-product symbiotic relationship data.
In some embodiments, in S3, the ecological product data is input to a supply background-supply capacity-quality stability-supply efficiency-development intensity and influence model as:
where ω represents the weight of each dimension, ω bcsei =1; b represents the area of the adaptive land type developed by the ecological product supplied to the local area; c represents the supply capacity, and is represented by the completeness of the transportation facility of the product if the ecological product is a non-local consumption product such as a travel product, and is represented by the convenience of traffic if the ecological product is a local consumption product; s represents the quality stability of the ecological product, and is represented by the increasing and decreasing amplitude of the consumption of the ecological product; e represents the feed efficiency, expressed by the yield of the ecological product; i represents development intensity and environmental influence of the ecological product, and is represented by environmental change.
B, C, S, E, I ranges from 0 to 1 by data normalization. The measurement results may determine the provisioning capability level according to the following classification criteria.
BCSEI [0.0,0.25) [0.25,0.50) [0.50,0.75) [0.75,1.0]
Supply capability Difference of difference In (a) Good grade (good) Excellent (excellent)
In some embodiments, the regional statistics is performed on each dimension index feature in the urban and rural fusion test area, the standardization is performed by using the Z-score due to the difference of each index measurement unit, the influence of abnormal values is reduced, the discrete standardization is performed, the interval stretching of numerical values is realized, the processing is convenient, and the calculation formula is as follows:
wherein x is an original value, x' is a normalized calculated intermediate value, mu is a mean value, delta is a data standard deviation, min is a minimum function, and max is a maximum operation; x's' s The standard value after treatment;
in the calculation of the ecological product supply capacity C and the quality stability S, the space density of various point-shaped/linear geographic elements, such as the logistics point density, the travel route density and the like of agricultural products, needs to be analyzed, and the calculation is performed by using a nuclear density algorithm, wherein the calculation formula is as follows:
wherein x is i Dis as an input element i The distance from the element to any point in the range is shown as r, and the searching radius is shown as r; the smaller the search radius is, the more the local details can be highlighted, the larger the search radius is, the more the influence among the factors is considered, and the partition size and the region association degree can be comprehensively considered in actual application to be adjusted.
Measuring and calculating the development strength of the ecological product and the change quantity of the Remote Sensing Ecological Index (RSEI) for environmental impact I, and indicating the forward impact if the remote sensing ecological index is increased after the ecological product is developed; the remote sensing ecological index can be calculated by only using Landsat 8 OLI data, and the formula is as follows:
RSEI=f(G,W,LST,NDBSI);
wherein f represents principal component analysis, G represents greenness, W represents humidity, LST represents surface temperature, NDBSI represents dryness, and the calculation formula is as follows:
G=(ρ 54 )/(ρ 54 );
W=0.1511ρ 2 +0.1972ρ 3 +0.3283ρ 4 +0.3407ρ 5 -0.7117ρ 6 -0.4559ρ 7
NDBSI=(IBI+SI)/2;
wherein:
wherein:
ρ i represents the value of the ith band of Landsat 8 OLI data.
Scene illustration
And (3) taking the 'ecological civilization demonstration construction (x) | practice innovation base (x)' as a theme to search reports of related ecological products, and storing the reports as a plain text document. The 302 text sets are collected, the text is divided to obtain independent complete sentences to be supplied to 15732, and 839 ecological product keywords are obtained. Clustering to obtain class 19 of secondary ecological products, and further clustering to obtain class 5 of class 1 ecological products, wherein the following table shows that:
the ecological compensation type ecological product refers to a part of ecological products which can realize ecological value conversion by competing for ecological compensation foundation of countries or regions or increasing ecological posts through ecological restoration engineering. The intensive ecological product of the economic crops refers to the development of intensive ecological agriculture or the large-area production of agricultural products with high economic value, and the value of the ecological product is improved. The cultural leisure type ecological product refers to a small-area ecological resource development mode integrating modes of special travel, literature industry, science popularization and cultural education, sports events, health care services and the like, and the value overflow of the ecological product is improved by developing a special ecological city-town-village global type travel large-area mode. The green industry type ecological product refers to that the government carries out mortgage or transaction on the property rights of land parcels to promote developers to build green facilities, namely, the green industry type ecological product drives economic development on the basis of maintaining the stability of a natural ecological system, and the aim of realizing ecological value is achieved. The ecological transportation facility type ecological product is an auxiliary measure or engineering for realizing ecological value in the transportation field, and the improvement of the output of the ecological product is realized by promoting the development of agricultural logistics and improving the convenience of travel in the whole area.
The urban and rural fusion development test area of the western district of the SC province comprises a WJ area, a PD area, a PJ county, a QL city, a DY county, a CZ city, a DJY city and a PZ city domain, which totals 7672 square kilometers, a resident population 624.06 ten thousand and a total water resource of 100.51 hundred million cubic meters. During construction, an ecological product market mechanism is explored and established, and an economic evaluation system for containing ecological products is established, so that the ecological product supply capacity of the western region of the SC province CD can be calculated based on the method.
The western region of the CD city of SC province contains class 5 first-class ecological products, (1) green industry-type ecological products are: medical city green industry park, ecological house, intensive green land, green two-bank cooperation industry park, sichuan garden forest building. (2) The cultural leisure type ecological products are as follows: YT ancient town, JZ ancient town, AR ancient town, TZ town, DB town, PZ tea house, JJ ceramic tile, WJ health care product. (3) The intensive ecological products of the cash crops are as follows: WJ paddy rice, CZ nursery garden, PJ rape, CN agricultural product scientific research test cultivated land, and special agricultural products (PJ harrow citrus, kiwi fruit, etc.) cultivated land. (4) The ecological compensation type ecological product comprises: DJY national park, TT mountain, XL snow mountain. (5) The ecological transportation facility type ecological products are as follows: green road system and tour ring line. And respectively counting the ecological products in 8 district cities and counties, and collecting corresponding ecological product supply capability characteristic data, wherein the characteristic data comprise the area of the adaptive land type for ecological product development, the density of various commodity flow points of agricultural products, the number of travel routes and the time consumption of the travel, the travel income, the number of people to take over travel, the scenic spot score, the yield and sales of agricultural products, the residence and management condition of green industry enterprises, kang Yangji-area distribution and the difference value of remote sensing ecological quality indexes before and after the ecological product development. The results after normalization are shown in the following table and in fig. 3:
and (5) using the mean value to represent the measurement and calculation result of each dimension of the western region of the whole SC province CD, and determining the weight w= [0.35,0.25,0.15,0.1,0.15] according to the importance degree of each dimension. The ecological product supply capacity score for the western region of the SC province CD city is therefore:
bcsei=[0.72231,0.679,0.51452,0.41836,0.56156]*w=0.62581
and: 0.50< bcsei <0.75, so the ecological product supply capacity grade of the western region of the CD city of SC province is good.
As shown in fig. 2, another aspect of the embodiment of the present application discloses an urban and rural fusion test area ecological product supply capability measuring and calculating system, which includes:
the ecological product type and discrimination index acquisition module is used for acquiring the ecological product type and discrimination index from documents advertised by the ecological product related documents based on the natural language processing model;
the ecological product data acquisition module is used for acquiring corresponding ecological product data of the region to be calculated in the appointed time based on the discrimination index;
and the urban and rural fusion test area ecological product supply capacity comprehensive index acquisition module is used for inputting the ecological product data into a supply background-supply capacity-quality stability-supply efficiency-development strength and influence model and outputting to obtain the urban and rural fusion test area ecological product supply capacity comprehensive index.
In some embodiments, the urban and rural fusion test area ecological product supply capability measurement system further comprises:
the processor is connected with the type and discrimination index acquisition module of the ecological product, the ecological product data acquisition module and the comprehensive index acquisition module of the ecological product supply capacity of the urban and rural fusion test area;
a memory coupled to the processor and storing a computer program executable on the processor; when the processor executes the computer program, the processor controls the type and discrimination index acquisition module, the ecological product data acquisition module and the urban and rural fusion test area ecological product supply capacity comprehensive index acquisition module to work so as to realize the urban and rural fusion test area ecological product supply capacity measuring and calculating method.
The above embodiments are provided to illustrate the present application and not to limit the present application, so that the modification of the exemplary values or the replacement of equivalent elements should still fall within the scope of the present application.
From the foregoing detailed description, it will be apparent to those skilled in the art that the present application can be practiced without these specific details, and that the present application meets the requirements of the patent statutes.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application. The foregoing description of the preferred embodiment of the application is not intended to be limiting, but rather to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the application.
It should be noted that the above description of the flow is only for the purpose of illustration and description, and does not limit the application scope of the present specification. Various modifications and changes to the flow may be made by those skilled in the art under the guidance of this specification. However, such modifications and variations are still within the scope of the present description.
While the basic concepts have been described above, it will be apparent to those of ordinary skill in the art after reading this application that the above disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations of the application may occur to one of ordinary skill in the art. Such modifications, improvements, and modifications are intended to be suggested within the present disclosure, and therefore, such modifications, improvements, and adaptations are intended to be within the spirit and scope of the exemplary embodiments of the present disclosure.
Meanwhile, the present application uses specific words to describe embodiments of the present application. For example, "one embodiment," "an embodiment," and/or "some embodiments" means a particular feature, structure, or characteristic in connection with at least one embodiment of the application. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the application may be combined as suitable.
Furthermore, those of ordinary skill in the art will appreciate that aspects of the application are illustrated and described in the context of a number of patentable categories or conditions, including any novel and useful processes, machines, products, or materials, or any novel and useful improvements thereof. Accordingly, aspects of the present application may be implemented entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or a combination of hardware and software. The above hardware or software may be referred to as a "unit," module, "or" system. Furthermore, aspects of the present application may take the form of a computer program product embodied in one or more computer-readable media, wherein the computer-readable program code is embodied therein.
Computer program code required for operation of portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, scala, smalltalk, eiffel, JADE, emerald, C ++, C#, VB.NET, python, etc., a conventional programming language such as C programming language, visualBasic, fortran2103, perl, COBOL2102, PHP, ABAP, a dynamic programming language such as Python, ruby and Groovy, or other programming languages, etc. The program code may execute entirely on the user's computer, or as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any form of network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or the use of services such as software as a service (SaaS) in a cloud computing environment.
Furthermore, the order in which the elements and sequences are presented, the use of numerical letters, or other designations are used in the application is not intended to limit the sequence of the processes and methods unless specifically recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of example, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the application. For example, while the implementation of the various components described above may be embodied in a hardware device, it may also be implemented as a purely software solution, e.g., an installation on an existing server or mobile device.
Likewise, it should be noted that in order to simplify the presentation of the disclosure and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed subject matter requires more features than are expressly recited in each claim. Rather, the inventive subject matter should be provided with fewer features than the single embodiments described above.

Claims (10)

1. The urban and rural fusion test area ecological product supply capacity measuring and calculating method is characterized by comprising the following steps of:
s1, based on a natural language processing model, acquiring the type and the discrimination index of an ecological product from a document advertised by a related document of the ecological product;
s2, acquiring corresponding ecological product data of the specified time of the area to be calculated based on the discrimination index;
s3, inputting the ecological product data into a supply background-supply capacity-quality stability-supply efficiency-development intensity and influence model, and outputting to obtain an urban and rural fusion test area ecological product supply capacity comprehensive index.
2. The method for measuring and calculating the supply capacity of ecological products in urban and rural fusion test areas according to claim 1, wherein in S1, the process of obtaining the type and the discrimination index of the ecological products is as follows: and extracting key information from documents advertised by related documents of the ecological product, wherein the key information comprises a test point natural background, a general scheme of the test point, test point success and teaching, extracting key words and key sentences by adopting a TextRank algorithm in the natural language processing field, and classifying the key words and the key sentences into corresponding contents.
3. The urban and rural fusion test area ecological product supply capacity measuring and calculating method according to claim 2, wherein S1 comprises:
s11, making a text data set, which specifically comprises the following steps:
deleting pictures, picture names, irrelevant notes and titles in the relevant report documents of the practice innovation base, and splicing all cleaned documents together to serve as a basic data set;
s12, segmenting a text and constructing a similarity matrix, wherein the method specifically comprises the following steps:
dividing the text into independent complete sentences, further dividing the text into words and filtering out words without parts of speech, namely:
wherein T represents the total text data set, T i Represent independent statements, t i,j Representing a word having part of speech;
providing a window threshold K, wherein two words which are simultaneously appeared in the threshold range have relevance, and the weight relation of the two words with relevance is calculated by the following formula:
wherein WT (t) i ) Representing node t i Weight value of In (t) i ) Representing node t i Precursor node set, out (t j ) Representing node t j D is a smoothing function, ω jijk For node t j To node t i /t k Weight of (2); giving initial weights of word nodes, and then iteratively updating the weights of the words until the weight values converge;
s13, extracting keywords of ecological products, wherein the keywords are specifically as follows:
sorting all words according to weight, selecting the words with weights at the upper 4 bits as candidate ecological product keywords, and forming an ecological product text description characteristic data set;
s14, classifying keywords of ecological products, wherein the keywords are specifically as follows:
and clustering the text description characteristic data set of the ecological product by using Birch hierarchical clustering to obtain a classification system of the ecological product.
4. The urban and rural fusion test area ecological product supply capacity measuring and calculating method according to claim 3, wherein S14 comprises:
s141, traversing all the word sets of the key ecological products to construct a cluster feature tree;
s142, clustering leaf nodes of the clustering feature tree by adopting a hierarchical clustering algorithm, deleting category node sets with small quantity, and merging category node sets with large quantity;
wherein, the category discrimination capability of the word node is calculated by the following formula:
wherein TF is i df is a score that node i can be attributed to keyword type D, n represents the weighted distance of two keyword nodes, D represents a keyword classification set, D j Is the keyword in D.
5. The method for measuring and calculating the ecological product supply capacity of the urban and rural fusion test area according to claim 1, wherein in the step S2, the ecological products contained in the area to be measured and calculated are judged based on the classification and characteristic system of the ecological products, and the related long time sequence data of the ecological products in the designated time are further obtained.
6. The method for measuring and calculating the ecological product supply capacity of the urban and rural fusion test area according to claim 5, wherein the related long time sequence data comprises distribution data, yield data, transportation or acquisition mode and difficulty level data, demand data, environment data and ecological product symbiotic relation data.
7. The method for measuring and calculating the supply capacity of ecological products in urban and rural fusion test areas according to claim 1, wherein in S3, the model of the supply background-supply capacity-quality stability-supply efficiency-development intensity and influence of the ecological product data is:
where ω represents the weight of each dimension, ω bcsei =1; b represents the area of the adaptive land type developed by the ecological product supplied to the local area; c represents the supply capacity, and is represented by the completeness of the transportation facility of the product if the ecological product is a non-local consumption product such as a travel product, and is represented by the convenience of traffic if the ecological product is a local consumption product; s represents the quality stability of the ecological product, and is represented by the increasing and decreasing amplitude of the consumption of the ecological product; e represents the feed efficiency, expressed by the yield of the ecological product; i represents development intensity and environmental influence of the ecological product, and is represented by environmental change.
8. The method for measuring and calculating the ecological product supply capacity of the urban and rural fusion test area according to claim 7, wherein the regional statistics is carried out on each dimension index feature in the area, the standardization is carried out by using a Z-score due to the difference of each index measurement unit, the influence of abnormal values is reduced, the discrete standardization is carried out, the interval stretching of numerical values is realized, the processing is convenient, and the calculation formula is as follows:
wherein x is an original value, x' is a normalized calculated intermediate value, mu is a mean value, delta is a data standard deviation, min is a minimum function, and max is a maximum operation; x's' s The standard value after treatment;
in the calculation of the ecological product supply capacity C and the quality stability S, the space density of various point-shaped/linear geographic elements needs to be analyzed, the calculation is performed by using a nuclear density algorithm, and the calculation formula is as follows:
wherein x is i Dis as an input element i The distance from the element to any point in the range is shown as r, and the searching radius is shown as r; measuring and calculating the development intensity of the ecological product and the change quantity of the remote sensing ecological index for the environmental impact I, and indicating the forward impact if the remote sensing ecological index is increased after the ecological product is developed; the remote sensing ecological index can be calculated by only using Landsat 8 OLI data, and the formula is as follows:
RSEI=f(G,W,LST,NDBSI);
wherein f represents principal component analysis, G represents greenness, W represents humidity, LST represents surface temperature, NDBSI represents dryness, and the calculation formula is as follows:
G=(ρ 54 )/(ρ 54 );
W=0.1511ρ 2 +0.1972ρ 3 +0.3283ρ 4 +0.3407ρ 5 -0.7117ρ 6 -0.4559ρ 7
NDBSI=(IBI+SI)/2;
wherein:
wherein:
ρ i represents the value of the ith band of Landsat 8 OLI data.
9. Urban and rural fusion test area ecological product supply capacity measuring and calculating system, which is characterized by comprising:
the ecological product type and discrimination index acquisition module is used for acquiring the ecological product type and discrimination index from documents advertised by the ecological product related documents based on the natural language processing model;
the ecological product data acquisition module is used for acquiring corresponding ecological product data of the region to be calculated in the appointed time based on the discrimination index;
and the urban and rural fusion test area ecological product supply capacity comprehensive index acquisition module is used for inputting the ecological product data into a supply background-supply capacity-quality stability-supply efficiency-development strength and influence model and outputting to obtain the urban and rural fusion test area ecological product supply capacity comprehensive index.
10. The urban and rural fusion test area ecological product supply capacity measuring system according to claim 9, further comprising:
the processor is connected with the type and discrimination index acquisition module of the ecological product, the ecological product data acquisition module and the comprehensive index acquisition module of the ecological product supply capacity of the urban and rural fusion test area;
a memory coupled to the processor and storing a computer program executable on the processor; wherein when the processor executes the computer program, the processor controls the type and discrimination index acquisition module of the ecological product, the ecological product data acquisition module, and the urban and rural fusion test area ecological product supply capacity comprehensive index acquisition module to operate so as to implement the urban and rural fusion test area ecological product supply capacity measuring and calculating method according to any one of claims 1 to 8.
CN202310196971.7A 2023-03-02 2023-03-02 Urban and rural fusion test area ecological product supply capacity measuring and calculating method and system Pending CN116934378A (en)

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