Intelligent evaluation method and system for comprehensive development situation of smart city

Abstract

The invention discloses a smart city comprehensive development situation intelligent assessment method and system, and the method comprises the steps: collecting multi-dimensional original development data of a target city, and carrying out the preprocessing of the original development data, and generating a to-be-analyzed data set; obtaining a development evaluation index of each dimension, and extracting a key feature variable from the to-be-analyzed data set according to the development evaluation index; determining entity attributes of the key feature variables, determining a development evaluation mode of each dimension according to the entity attributes, and evaluating a development trend of each dimension of the target city by combining the development evaluation mode with the key feature variables; and determining the comprehensive development situation of the target city according to the development trend of each dimension of the target city and the related limiting factors among the dimensions. And an adaptive mode can be selected according to data characteristics and scales to carry out intelligent evaluation, so that the objectivity and the accuracy of an evaluation result are improved.

Description

Technical Field

[0001] The present invention relates to the field of data analysis technology, and in particular to a method and system for intelligently evaluating the comprehensive development trend of a smart city. Background Art

[0002] As the pace of urbanization in my country is getting faster and faster, in the process of urbanization development, various development factors need to be considered. Sustainable development is a dynamic change process of the urban system. The industrial structure, resource status and development goals of each city are different. Accurate and effective monitoring and quantitative evaluation of urban sustainable development capabilities can provide reference for the formulation of urban sustainable development strategies and the optimal allocation of urban factor resources. It is the basis for achieving the path of urban sustainable development. The existing urban development evaluation methods are to collect development data of various dimensions of the city and then conduct manual analysis and evaluation through predetermined development strategies. The evaluation results are not only subjective, but also cannot be comprehensively evaluated according to the relevant restrictions between various dimensions, which makes the evaluation results biased and reduces the practicality and data reference. Summary of the invention

[0003] In response to the above-mentioned problems, the present invention provides an intelligent evaluation method and system for the comprehensive development situation of a smart city to solve the problem mentioned in the background technology that the development data of various dimensions of the city are collected and then manually analyzed and evaluated through a predetermined development strategy. The evaluation results are not only subjective but also cannot be comprehensively evaluated according to the relevant restrictions between the various dimensions, which makes the evaluation results biased and reduces the practicality and data reference.

[0004] A smart city comprehensive development situation intelligent assessment method, comprising the following steps:

[0005] Collect multi-dimensional original development data of the target city, and pre-process the original development data to generate the data set to be analyzed;

[0006] Obtain development evaluation indicators of each dimension, and extract key feature variables from the data set to be analyzed based on the development evaluation indicators;

[0007] Determine the entity attributes of the key characteristic variables, determine the development evaluation method of each dimension based on the entity attributes, and use the development evaluation method combined with the key characteristic variables to evaluate the development trend of each dimension of the target city;

[0008] Determine the comprehensive development situation of the target city based on the development trend of each dimension of the target city and the relevant limiting factors between each dimension.

[0009] Preferably, the collecting of multi-dimensional original development data of the target city and preprocessing the original development data to generate a data set to be analyzed include:

[0010] Collect the first development data of the target city in terms of population, economy, society and environment from multiple channels, conduct official data screening on the original development data according to the data source, obtain the second development data and confirm it as the original development data;

[0011] Clean and pre-process the original development data to remove duplicates, obtain pre-processed data, and integrate the pre-processed data to generate a complete data set;

[0012] Determine the data structure of the complete data set of each dimension, and determine the data organization form of the complete data set based on the data structure;

[0013] The data parsing direction is determined according to the data organization form of the complete data set, and the data items in the complete data set of each dimension are sequentially adjusted based on the data parsing direction to generate the data set to be parsed.

[0014] Preferably, the step of obtaining development evaluation indicators of each dimension and extracting key feature variables from the data set to be analyzed according to the development evaluation indicators includes:

[0015] Obtain the development strategy parameters of the target city in each dimension, and determine the evaluation criteria for each dimension based on the development strategy parameters;

[0016] According to the evaluation criteria of each dimension, an urban development evaluation system under that dimension is constructed, and the basic reference indicators and extended reference indicators under the urban development evaluation system and the weight value of each reference indicator are obtained;

[0017] Determine the development evaluation indicators of each dimension based on the basic reference indicators and extended reference indicators and the weight value of each reference indicator;

[0018] Based on the development evaluation index, the intuitive mapping index of each feature variable in the analytical data set is determined, and the target feature variable whose intuitive mapping index is greater than or equal to the preset index threshold is selected as the key feature variable.

[0019] Preferably, the determining of entity attributes of key characteristic variables, determining development evaluation methods of each dimension according to the entity attributes, and evaluating the development trend of each dimension of the target city by combining the development evaluation methods with the key characteristic variables include:

[0020] Determine the action entity of the key characteristic variable, obtain the entity attributes of the action entity, and determine the quantitative range of the statistical indicator based on the entity attributes;

[0021] Determine the development evaluation method of each dimension based on the quantitative range of statistical indicators, the development evaluation method includes: a combination of quantitative and qualitative methods, a hierarchical evaluation method and a machine learning evaluation method;

[0022] Determine the evaluation demand factors according to the development evaluation methods of each dimension, and evaluate the development trend of each dimension of the target city based on the evaluation demand factors and key characteristic variables;

[0023] The visualization standard is determined according to the elements involved in each dimension, and the visualization method is determined according to the visualization standard. The development trend of each dimension of the target city is visualized according to the visualization method of that dimension.

[0024] Preferably, determining the comprehensive development situation of the target city according to the development trend of each dimension of the target city and the relevant limiting factors between the dimensions includes:

[0025] Determine the development advantages and disadvantages of the target city based on the development trend of each dimension of the target city, and determine the mutual constraints between the dimensions;

[0026] Determine the balanced development factors between various dimensions based on the mutual constraints and the development advantages and disadvantages of the target city;

[0027] Determine the target city's development strengths and weaknesses under balanced development based on the balanced development factors and related limiting factors between the dimensions;

[0028] Determine the comprehensive development trend of the target city based on the dimensions of development strengths and weaknesses.

[0029] An intelligent evaluation system for the comprehensive development situation of a smart city, the system comprising:

[0030] The collection module is used to collect the original development data of the target city in multiple dimensions and pre-process the original development data to generate the data set to be analyzed;

[0031] The extraction module is used to obtain the development evaluation indicators of each dimension and extract key feature variables from the data set to be analyzed according to the development evaluation indicators;

[0032] The evaluation module is used to determine the entity attributes of the key characteristic variables, determine the development evaluation method of each dimension based on the entity attributes, and use the development evaluation method combined with the key characteristic variables to evaluate the development trend of each dimension of the target city;

[0033] The determination module is used to determine the comprehensive development situation of the target city based on the development trend of each dimension of the target city and the relevant limiting factors between the dimensions.

[0034] Preferably, the acquisition module includes:

[0035] The collection submodule is used to collect the first development data of the target city in the dimensions of population, economy, society and environment from multiple channels, conduct official data screening on the original development data according to the data source, obtain the second development data and confirm it as the original development data;

[0036] The preprocessing submodule is used to clean and remove duplicate data from the original development data, obtain preprocessed data, and integrate the preprocessed data to generate a complete data set;

[0037] A first determination submodule is used to determine the data structure of the complete data set of each dimension, and determine the data organization form of the complete data set based on the data structure;

[0038] The generation submodule is used to determine the data parsing direction according to the data organization form of the complete data set, and to adjust the order of the data items in the complete data set of each dimension based on the data parsing direction to generate the data set to be parsed.

[0039] Preferably, the extraction module comprises:

[0040] The second determination submodule is used to obtain the development strategy parameters of the target city in each dimension and determine the evaluation criteria of each dimension based on the development strategy parameters;

[0041] The acquisition submodule is used to construct an urban development evaluation system under each dimension according to the evaluation criteria of each dimension, and to obtain the basic reference indicators and extended reference indicators under the urban development evaluation system as well as the weight value of each reference indicator;

[0042] The third determination submodule is used to determine the development evaluation index of each dimension according to the basic reference index and the extended reference index and the weight value of each reference index;

[0043] A selection submodule is used to determine the intuitive mapping index of each feature variable in the parsing data set based on the development evaluation index, and select the target feature variable whose intuitive mapping index is greater than or equal to a preset index threshold as the key feature variable.

[0044] Preferably, the evaluation module comprises:

[0045] The fourth determination submodule is used to determine the action entity of the key characteristic variable, obtain the entity attribute of the action entity, and determine the quantitative range of the statistical indicator according to the entity attribute;

[0046] A fifth determination submodule is used to determine the development evaluation method of each dimension based on the quantitative range of the statistical indicators, and the development evaluation method includes: a quantitative and qualitative combination method, a hierarchical evaluation method, and a machine learning evaluation method;

[0047] The evaluation submodule is used to determine the evaluation demand factors according to the development evaluation methods of each dimension, and evaluate the development trend of each dimension of the target city based on the evaluation demand factors and key characteristic variables;

[0048] The display submodule is used to determine the visualization standard according to the elements involved in each dimension, determine the visualization method according to the visualization standard, and visualize the development trend of each dimension of the target city according to the visualization method of that dimension.

[0049] Preferably, the determining module includes:

[0050] The sixth determination submodule is used to determine the development advantages and disadvantages of the target city according to the development trend of each dimension of the target city, and to determine the mutual constraints between the dimensions;

[0051] The seventh determination submodule is used to determine the balanced development factors between various dimensions based on the mutual constraints and the development advantages and disadvantages of the target city;

[0052] The eighth determination submodule is used to determine the development strengths and weaknesses of the target city under balanced development based on the balanced development factors between the dimensions and the related limiting factors between the dimensions;

[0053] The ninth determination submodule is used to determine the comprehensive development situation of the target city based on the dimensions of development strengths and development weaknesses.

[0054] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0055] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0057] Figure 1 A workflow diagram of an intelligent evaluation method for comprehensive development of a smart city provided by the present invention;

[0058] Figure 2 Another work flow chart of the intelligent evaluation method for the comprehensive development situation of a smart city provided by the present invention;

[0059] Figure 3This is a schematic diagram of the structure of an intelligent evaluation system for comprehensive development trends of a smart city provided by the present invention;

[0060] Figure 4 This is a structural schematic diagram of a collection module in an intelligent evaluation system for comprehensive development trends of a smart city provided by the present invention. DETAILED DESCRIPTION

[0061] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0062] As the pace of urbanization in my country is getting faster and faster, in the process of urbanization development. It is necessary to consider various development factors. Sustainable development is a dynamic change process of the urban system. The industrial structure, resource status, and development goals of each city are different. Accurately and effectively monitoring and quantitatively evaluating the sustainable development capabilities of cities can provide reference for the formulation of urban sustainable development strategies and the optimal allocation of urban element resources. It is the basis for achieving the path of sustainable urban development. The existing urban development evaluation methods are to collect development data of various dimensions of the city and then conduct manual analysis and evaluation through predetermined development strategies. The evaluation results are not only subjective, but also cannot be comprehensively evaluated according to the relevant restrictions between the dimensions, which makes the evaluation results biased and reduces the practicality and data reference. In order to solve the above problems, this embodiment discloses an intelligent evaluation method for the comprehensive development trend of a smart city.

[0063] An intelligent evaluation method for the comprehensive development trend of smart cities, such as Figure 1 As shown, the following steps are included:

[0064] Step S101: Collect multi-dimensional original development data of the target city, and pre-process the original development data to generate a data set to be analyzed;

[0065] Step S102: obtaining development evaluation indicators of each dimension, and extracting key feature variables from the data set to be analyzed according to the development evaluation indicators;

[0066] Step S103: determine the entity attributes of the key characteristic variables, determine the development evaluation method of each dimension according to the entity attributes, and use the development evaluation method combined with the key characteristic variables to evaluate the development trend of each dimension of the target city;

[0067] Step S104: Determine the comprehensive development situation of the target city according to the development trend of each dimension of the target city and the relevant limiting factors between the dimensions.

[0068] The working principle of the above technical solution is: collect original development data of multiple dimensions of the target city, pre-process the original development data to generate a data set to be analyzed; obtain development evaluation indicators of each dimension, and extract key characteristic variables from the data set to be analyzed based on the development evaluation indicators; determine the entity attributes of the key characteristic variables, determine the development evaluation method of each dimension based on the entity attributes, and use the development evaluation method combined with the key characteristic variables to evaluate the development trend of each dimension of the target city; determine the comprehensive development situation of the target city based on the development trend of each dimension of the target city and the relevant restrictive factors between each dimension.

[0069] The beneficial effects of the above technical solution are: by selecting the development evaluation method of each dimension according to the entity attributes of the key characteristic variables used for evaluation in each dimension, and then conducting an effective evaluation, an adaptive method can be selected according to the data characteristics and scale for intelligent evaluation, thereby improving the objectivity and accuracy of the evaluation results. Furthermore, by conducting a comprehensive evaluation based on the relevant restriction factors between each dimension, a comprehensive development trend evaluation can be accurately performed based on the development restriction parameters between each dimension, thereby ensuring the accuracy and precision of the evaluation data, and solving the problem mentioned in the prior art that the development data of each dimension of the city is collected and then manually analyzed and evaluated through a predetermined development strategy. The evaluation results are not only subjective but also cannot be comprehensively evaluated according to the relevant restriction conditions between each dimension, which makes the evaluation results biased and reduces the practicality and data reference.

[0070] In one embodiment, Figure 2 As shown, the multi-dimensional original development data of the target city is collected, and the original development data is pre-processed to generate a data set to be analyzed, including:

[0071] Step S201: collect first development data of the target city in terms of population, economy, society and environment from multiple channels, perform official data screening on the original development data according to the data source, obtain second development data and confirm it as the original development data;

[0072] Step S202: clean and pre-process the original development data to obtain pre-processed data, and integrate the pre-processed data to generate a complete data set;

[0073] Step S203: determine the data structure of the complete data set of each dimension, and determine the data organization form of the complete data set based on the data structure;

[0074] Step S204: determine the data parsing direction according to the data organization form of the complete data set, and adjust the order of the data items in the complete data set of each dimension based on the data parsing direction to generate a data set to be parsed.

[0075] The beneficial effects of the above technical solution are: preprocessing the original development data, generating a complete data set, determining the data structure and data organization form, which can improve the comprehensibility of the data. Furthermore, the data parsing direction is determined according to the data organization form of the complete data set, so as to adjust the order of data items to generate the data set to be parsed, which can ensure the accuracy of the data set and the adaptability of the analysis.

[0076] In one embodiment, the step of obtaining development evaluation indicators of each dimension and extracting key feature variables from the data set to be analyzed according to the development evaluation indicators includes:

[0077] Obtain the development strategy parameters of the target city in each dimension, and determine the evaluation criteria for each dimension based on the development strategy parameters;

[0078] According to the evaluation criteria of each dimension, an urban development evaluation system under that dimension is constructed, and the basic reference indicators and extended reference indicators under the urban development evaluation system and the weight value of each reference indicator are obtained;

[0079] Determine the development evaluation indicators of each dimension based on the basic reference indicators and extended reference indicators and the weight value of each reference indicator;

[0080] Based on the development evaluation index, the intuitive mapping index of each feature variable in the analytical data set is determined, and the target feature variable whose intuitive mapping index is greater than or equal to the preset index threshold is selected as the key feature variable.

[0081] The beneficial effects of the above technical solution are: determining the evaluation criteria of each dimension according to the development strategy parameters of the target city, and constructing an urban development evaluation system under this dimension, which helps to clearly define the goals and directions of urban development. Furthermore, the development evaluation indicators of each dimension are determined according to the weight value of each reference indicator, thereby determining the intuitive mapping index of each characteristic variable in the analytical data set, so as to make the data analysis results more accurate and reliable, avoid adverse effects caused by data errors, and improve data analysis efficiency.

[0082] In this embodiment, the development strategy parameters of the target city in each dimension are obtained, and the evaluation criteria of each dimension are determined according to the development strategy parameters, including:

[0083] Determine the development plan of the target city in each dimension, and determine the development strategy parameters of the target city in each dimension based on the development plan;

[0084] Determine the cluster form of the target city in each dimension based on the development strategy parameters, and determine the vitality value, development value, organizational strength value and ecosystem service value of the target city in each dimension based on the cluster form;

[0085] Determine the development trend of the target city in each dimension based on its vitality value, development value, organizational strength value and ecosystem service value in each dimension;

[0086] Determine the quantitative development parameters of the target city in each dimension based on the development trend, and determine the weights of the global development factors, key development factors and integrated development factors based on the development quantitative parameters;

[0087] The evaluation criteria for the target city in each dimension are determined based on the weights of global development factors, key development factors and integrated development factors.

[0088] The beneficial effects of the above technical solution are: by determining the quantitative parameters for development based on the situation values ​​of the target city in each dimension and then determining the evaluation standards, the corresponding evaluation standards can be set based on the global development parameters and key development parameters of the target city in each dimension, so that the set evaluation standards can make an accurate evaluation of the development of the target city in each dimension, thereby improving the evaluation efficiency, precision and accuracy.

[0089] In one embodiment, the entity attributes of the key characteristic variables are determined, the development evaluation method of each dimension is determined according to the entity attributes, and the development trend of each dimension of the target city is evaluated by combining the development evaluation method with the key characteristic variables, including:

[0090] Determine the action entity of the key characteristic variable, obtain the entity attributes of the action entity, and determine the quantitative range of the statistical indicator based on the entity attributes;

[0091] Determine the development evaluation method of each dimension based on the quantitative range of statistical indicators, the development evaluation method includes: a combination of quantitative and qualitative methods, a hierarchical evaluation method and a machine learning evaluation method;

[0092] Determine the evaluation demand factors according to the development evaluation methods of each dimension, and evaluate the development trend of each dimension of the target city based on the evaluation demand factors and key characteristic variables;

[0093] The visualization standard is determined according to the elements involved in each dimension, and the visualization method is determined according to the visualization standard. The development trend of each dimension of the target city is visualized according to the visualization method of that dimension.

[0094] The beneficial effects of the above technical solution are: obtaining the entity attributes of the action entity corresponding to the key characteristic variables, determining the development evaluation method and evaluation demand elements of each dimension, evaluating the development trend of each dimension of the target city, and better understanding the development situation of the city in different dimensions, so as to make targeted decisions. Furthermore, determining the visualization standard and visualization method of each dimension, and performing visualization display, can clearly observe the changes in each dimension, discover abnormal situations, and improve the efficiency of solving abnormal development trends.

[0095] In one embodiment, determining the comprehensive development situation of the target city according to the development trend of each dimension of the target city and the related limiting factors between the dimensions includes:

[0096] Determine the development advantages and disadvantages of the target city based on the development trend of each dimension of the target city, and determine the mutual constraints between the dimensions;

[0097] Determine the balanced development factors between various dimensions based on the mutual constraints and the development advantages and disadvantages of the target city;

[0098] Determine the target city's development strengths and weaknesses under balanced development based on the balanced development factors and related limiting factors between the dimensions;

[0099] Determine the comprehensive development trend of the target city based on the dimensions of development strengths and weaknesses.

[0100] The beneficial effects of the above technical solution are: determining the mutual constraints between various dimensions based on the development advantages and disadvantages of the target city, and determining the development strengths and weaknesses of the target city under balanced development in combination with the balanced development factors between the dimensions. It can accurately determine the advantages and disadvantages of the target city in various aspects, and formulate relevant measures in a targeted manner to ensure the rationality and sustainability of the city's development direction.

[0101] In one embodiment, this embodiment also discloses a smart city comprehensive development situation intelligent assessment system, such as Figure 3 As shown, the system includes:

[0102] The collection module 301 is used to collect multi-dimensional original development data of the target city and pre-process the original development data to generate a data set to be analyzed;

[0103] An extraction module 302 is used to obtain development evaluation indicators of each dimension and extract key feature variables from the data set to be analyzed according to the development evaluation indicators;

[0104] Evaluation module 303, used to determine the entity attributes of the key characteristic variables, determine the development evaluation method of each dimension according to the entity attributes, and evaluate the development trend of each dimension of the target city by combining the development evaluation method with the key characteristic variables;

[0105] The determination module 304 is used to determine the comprehensive development situation of the target city according to the development trend of each dimension of the target city and the relevant limiting factors between the dimensions.

[0106] The working principle and beneficial effects of the above technical solution have been explained in the method embodiment and will not be repeated here.

[0107] In one embodiment, Figure 4 As shown, the acquisition module 301 includes:

[0108] The collection submodule 3011 is used to collect the first development data of the target city in the dimensions of population, economy, society and environment from multiple channels, perform official data screening on the original development data according to the data source, obtain the second development data and confirm it as the original development data;

[0109] The preprocessing submodule 3012 is used to perform data cleaning and deduplication preprocessing on the original development data, obtain preprocessed data, and integrate the preprocessed data to generate a complete data set;

[0110] The first determination submodule 3013 is used to determine the data structure of the complete data set of each dimension, and determine the data organization form of the complete data set based on the data structure;

[0111] The generating submodule 3014 is used to determine the data parsing direction according to the data organization form of the complete data set, and to adjust the order of the data items in the complete data set of each dimension based on the data parsing direction to generate a data set to be parsed.

[0112] In one embodiment, the extraction module comprises:

[0113] The second determination submodule is used to obtain the development strategy parameters of the target city in each dimension and determine the evaluation criteria of each dimension based on the development strategy parameters;

[0114] The acquisition submodule is used to construct an urban development evaluation system under each dimension according to the evaluation criteria of each dimension, and to obtain the basic reference indicators and extended reference indicators under the urban development evaluation system as well as the weight value of each reference indicator;

[0115] The third determination submodule is used to determine the development evaluation index of each dimension according to the basic reference index and the extended reference index and the weight value of each reference index;

[0116] A selection submodule is used to determine the intuitive mapping index of each feature variable in the parsing data set based on the development evaluation index, and select the target feature variable whose intuitive mapping index is greater than or equal to a preset index threshold as the key feature variable.

[0117] In one embodiment, the evaluation module comprises:

[0118] The fourth determination submodule is used to determine the action entity of the key characteristic variable, obtain the entity attribute of the action entity, and determine the quantitative range of the statistical indicator according to the entity attribute;

[0119] A fifth determination submodule is used to determine the development evaluation method of each dimension based on the quantitative range of the statistical indicators, and the development evaluation method includes: a quantitative and qualitative combination method, a hierarchical evaluation method, and a machine learning evaluation method;

[0120] The evaluation submodule is used to determine the evaluation demand factors according to the development evaluation methods of each dimension, and evaluate the development trend of each dimension of the target city based on the evaluation demand factors and key characteristic variables;

[0121] The display submodule is used to determine the visualization standard according to the elements involved in each dimension, determine the visualization method according to the visualization standard, and visualize the development trend of each dimension of the target city according to the visualization method of that dimension.

[0122] In one embodiment, the determining module includes:

[0123] The sixth determination submodule is used to determine the development advantages and disadvantages of the target city according to the development trend of each dimension of the target city, and to determine the mutual constraints between the dimensions;

[0124] The seventh determination submodule is used to determine the balanced development factors between various dimensions based on the mutual constraints and the development advantages and disadvantages of the target city;

[0125] The eighth determination submodule is used to determine the development strengths and weaknesses of the target city under balanced development based on the balanced development factors between the dimensions and the related limiting factors between the dimensions;

[0126] The ninth determination submodule is used to determine the comprehensive development situation of the target city based on the dimensions of development strengths and development weaknesses.

[0127] Those skilled in the art should understand that the first and second in the present invention merely refer to different application stages.

[0128] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0129] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A smart city comprehensive development situation intelligent assessment method, characterized in that: The following steps are involved: Collect multi-dimensional original development data of the target city, and pre-process the original development data to generate the data set to be analyzed; Obtain development evaluation indicators of each dimension, and extract key feature variables from the data set to be analyzed based on the development evaluation indicators; Determine the entity attributes of the key characteristic variables, determine the development evaluation method of each dimension based on the entity attributes, and use the development evaluation method combined with the key characteristic variables to evaluate the development trend of each dimension of the target city; Determine the comprehensive development situation of the target city based on the development trend of each dimension of the target city and the relevant limiting factors between each dimension.

2. The intelligent evaluation method for the comprehensive development trend of a smart city according to claim 1 is characterized in that: The method of collecting multi-dimensional original development data of the target city and preprocessing the original development data to generate a data set to be analyzed includes: Collect the first development data of the target city in terms of population, economy, society and environment from multiple channels, conduct official data screening on the original development data according to the data source, obtain the second development data and confirm it as the original development data; Clean and pre-process the original development data to remove duplicates, obtain pre-processed data, and integrate the pre-processed data to generate a complete data set; Determine the data structure of the complete data set of each dimension, and determine the data organization form of the complete data set based on the data structure; The data parsing direction is determined according to the data organization form of the complete data set, and the data items in the complete data set of each dimension are sequentially adjusted based on the data parsing direction to generate the data set to be parsed.

3. The intelligent evaluation method for the comprehensive development trend of a smart city according to claim 1 is characterized in that: The step of obtaining development evaluation indicators of each dimension and extracting key feature variables from the data set to be analyzed according to the development evaluation indicators includes: Obtain the development strategy parameters of the target city in each dimension, and determine the evaluation criteria for each dimension based on the development strategy parameters; According to the evaluation criteria of each dimension, an urban development evaluation system under that dimension is constructed, and the basic reference indicators and extended reference indicators under the urban development evaluation system and the weight value of each reference indicator are obtained; Determine the development evaluation indicators of each dimension based on the basic reference indicators and extended reference indicators and the weight value of each reference indicator; Based on the development evaluation index, the intuitive mapping index of each feature variable in the analytical data set is determined, and the target feature variable whose intuitive mapping index is greater than or equal to the preset index threshold is selected as the key feature variable.

4. The intelligent evaluation method for the comprehensive development trend of a smart city according to claim 1 is characterized in that: The entity attributes of the key characteristic variables are determined, and the development evaluation method of each dimension is determined according to the entity attributes. The development trend of each dimension of the target city is evaluated by combining the development evaluation method with the key characteristic variables, including: Determine the action entity of the key characteristic variable, obtain the entity attributes of the action entity, and determine the quantitative range of the statistical indicator based on the entity attributes; Determine the development evaluation method of each dimension based on the quantitative range of statistical indicators, the development evaluation method includes: a combination of quantitative and qualitative methods, a hierarchical evaluation method and a machine learning evaluation method; Determine the evaluation demand factors according to the development evaluation methods of each dimension, and evaluate the development trend of each dimension of the target city based on the evaluation demand factors and key characteristic variables; The visualization standard is determined according to the elements involved in each dimension, and the visualization method is determined according to the visualization standard. The development trend of each dimension of the target city is visualized according to the visualization method of that dimension.

5. The intelligent evaluation method for the comprehensive development trend of a smart city according to claim 1 is characterized in that: Determining the comprehensive development situation of the target city based on the development trend of each dimension of the target city and the relevant limiting factors between the dimensions includes: Determine the development advantages and disadvantages of the target city based on the development trend of each dimension of the target city, and determine the mutual constraints between the dimensions; Determine the balanced development factors between various dimensions based on the mutual constraints and the development advantages and disadvantages of the target city; Determine the target city's development strengths and weaknesses under balanced development based on the balanced development factors and related limiting factors between the dimensions; Determine the comprehensive development trend of the target city based on the dimensions of development strengths and weaknesses.

6. An intelligent evaluation system for the comprehensive development trend of a smart city, characterized in that: The system includes: The collection module is used to collect the original development data of the target city in multiple dimensions and pre-process the original development data to generate a data set to be analyzed; The extraction module is used to obtain the development evaluation indicators of each dimension and extract key feature variables from the data set to be analyzed according to the development evaluation indicators; The evaluation module is used to determine the entity attributes of the key characteristic variables, determine the development evaluation method of each dimension based on the entity attributes, and use the development evaluation method combined with the key characteristic variables to evaluate the development trend of each dimension of the target city; The determination module is used to determine the comprehensive development situation of the target city based on the development trend of each dimension of the target city and the relevant limiting factors between the dimensions.

7. The smart city comprehensive development situation intelligent assessment system according to claim 6 is characterized in that: The acquisition module comprises: The collection submodule is used to collect the first development data of the target city in the dimensions of population, economy, society and environment from multiple channels, conduct official data screening on the original development data according to the data source, obtain the second development data and confirm it as the original development data; The preprocessing submodule is used to clean and remove duplicate data from the original development data, obtain preprocessed data, and integrate the preprocessed data to generate a complete data set; A first determination submodule is used to determine the data structure of the complete data set of each dimension, and determine the data organization form of the complete data set based on the data structure; The generation submodule is used to determine the data parsing direction according to the data organization form of the complete data set, and to adjust the order of the data items in the complete data set of each dimension based on the data parsing direction to generate the data set to be parsed.

8. The smart city comprehensive development situation intelligent assessment system according to claim 6 is characterized in that: The extraction module comprises: The second determination submodule is used to obtain the development strategy parameters of the target city in each dimension and determine the evaluation criteria of each dimension based on the development strategy parameters; The acquisition submodule is used to construct an urban development evaluation system under each dimension according to the evaluation criteria of each dimension, and to obtain the basic reference indicators and extended reference indicators under the urban development evaluation system as well as the weight value of each reference indicator; The third determination submodule is used to determine the development evaluation index of each dimension according to the basic reference index and the extended reference index and the weight value of each reference index; A selection submodule is used to determine the intuitive mapping index of each feature variable in the parsing data set based on the development evaluation index, and select the target feature variable whose intuitive mapping index is greater than or equal to a preset index threshold as the key feature variable.

9. The smart city comprehensive development situation intelligent assessment system according to claim 6 is characterized in that: The evaluation module comprises: The fourth determination submodule is used to determine the action entity of the key characteristic variable, obtain the entity attribute of the action entity, and determine the quantitative range of the statistical indicator according to the entity attribute; A fifth determination submodule is used to determine the development evaluation method of each dimension based on the quantitative range of the statistical indicators, and the development evaluation method includes: a quantitative and qualitative combination method, a hierarchical evaluation method, and a machine learning evaluation method; The evaluation submodule is used to determine the evaluation demand factors according to the development evaluation methods of each dimension, and evaluate the development trend of each dimension of the target city based on the evaluation demand factors and key characteristic variables; The display submodule is used to determine the visualization standard according to the elements involved in each dimension, determine the visualization method according to the visualization standard, and visualize the development trend of each dimension of the target city according to the visualization method of that dimension.

10. The smart city comprehensive development situation intelligent assessment system according to claim 6 is characterized in that: The determining module comprises: The sixth determination submodule is used to determine the development advantages and disadvantages of the target city according to the development trend of each dimension of the target city, and to determine the mutual constraints between the dimensions; The seventh determination submodule is used to determine the balanced development factors between various dimensions based on the mutual constraints and the development advantages and disadvantages of the target city; The eighth determination submodule is used to determine the development strengths and weaknesses of the target city under balanced development based on the balanced development factors between the dimensions and the related limiting factors between the dimensions; The ninth determination submodule is used to determine the comprehensive development situation of the target city based on the dimensions of development strengths and development weaknesses.

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