CN115456352A - Urban and rural space management and control method and system based on big data technology - Google Patents

Abstract

The invention discloses a method and a system for urban and rural space management and control based on big data technology, which relate to the technical field of data processing, and the method comprises the following steps: constructing a space control simulation model based on urban and rural space region resource data information, space region cooperative regulation and control criteria and region planning target information acquired by big data; carrying out simulation on the space control simulation model according to the location advantages and the planning target in the preset stage, and outputting a space area control scheme; performing feasibility analysis on the space region management and control scheme, and performing optimization adjustment on the space region management and control scheme based on feasibility coefficients; and carrying out management and control implementation on the urban and rural spatial areas to be managed and controlled based on the optimally adjusted spatial area management and control scheme, and carrying out intelligent supervision through a big data intelligent supervision module. The technical effects that the urban and rural space is controlled by utilizing the big data technology, the space control level and the control efficiency are improved, and the effectiveness and the rationality of urban and rural space planning control quality are improved are achieved.

Description

A method and system for urban and rural space management and control based on big data technology

technical field

The present invention relates to the field of data processing, in particular to a method and system for urban and rural space management and control based on big data technology.

Background technique

Urban and rural space management and control takes space resources across administrative boundaries, environmental protection and development coordination as the main object, conducts unified protection and rights distribution of space resources across administrative boundaries, coordinates the interests of multiple organizations, and promotes the development of capital, land, labor, technology, and information. and other production factors are integrated to facilitate the implementation of important cross-regional projects and decisions. Therefore, clarifying the urban and rural space management and control plan has important practical significance for the rational construction and development of urban and rural areas.

However, the existing technology has many spatial control elements and takes a long time, which leads to technical problems that affect the quality and efficiency of urban and rural control.

Contents of the invention

By providing a method and system for urban and rural space management and control based on big data technology, this application solves the technical problems of the prior art that there are many space control elements and takes a long time, which affects the quality and efficiency of urban and rural management and control. The application management and control of urban and rural space can improve the level and efficiency of space management and control, and then improve the effectiveness and rationality of the quality of urban and rural space planning and control.

In view of the above problems, the present invention provides a method and system for urban and rural space management and control based on big data technology.

In the first aspect, the present application provides a method for urban and rural space management and control based on big data technology. The method includes: collecting information on urban and rural spatial areas to be controlled through big data to obtain resource data information of urban and rural spatial areas; Spatial region coordinated regulation criteria and regional planning target information of urban and rural spatial regions; based on the urban and rural spatial region resource data information, the spatial region coordinated regulation criteria and the regional planning target information, construct a spatial control simulation model; obtain the to-be Manage and control the location advantages and preset stage planning objectives of urban and rural space areas; simulate the space control simulation model according to the location advantages and the preset stage planning objectives, and output the space area control plan; control the space area Perform a feasibility analysis on the scheme to obtain a feasibility coefficient, optimize and adjust the spatial area management and control scheme based on the feasibility coefficient; implement the management and control of the urban and rural spatial area to be controlled based on the optimized and adjusted spatial area management and control scheme , and carry out intelligent supervision on the control process through the big data intelligent supervision module.

On the other hand, the present application also provides an urban and rural space management and control system based on big data technology, the system includes: an information collection module, which is used to collect information on urban and rural spatial areas to be controlled through big data, and obtain urban and rural spatial area resource data Information; a data acquisition module, used to obtain the spatial region coordinated regulation criterion and regional planning target information of the urban and rural spatial region to be controlled; a model building module, used to base on the urban and rural spatial region resource data information, the spatial region coordinated regulation Criteria and the regional planning target information, constructing a space control simulation model; an information acquisition module, used to obtain the location advantages and preset stage planning objectives of the urban and rural spatial areas to be controlled; a simulation module, used to obtain the location advantages according to the location advantages Simulating the space control simulation model with the preset stage planning target, and outputting a space area control plan; an optimization and adjustment module is used to analyze the feasibility of the space area control plan to obtain a feasibility coefficient, based on the The feasibility coefficient is used to optimize and adjust the spatial area management and control plan; the intelligent supervision module is used to implement the management and control of the urban and rural spatial area to be controlled based on the optimized and adjusted spatial area management and control plan, and through big data intelligent supervision The module intelligently supervises the control process.

One or more technical solutions provided in this application have at least the following technical effects or advantages:

Due to the use of urban and rural spatial regional resource data information based on big data collection, spatial regional collaborative regulation criteria and regional planning target information, a spatial control simulation model is constructed, and then the spatial control simulation model is carried out according to the location advantages and preset stage planning objectives. Simulation, outputting a space area management and control plan, performing a feasibility analysis on the space area control plan, obtaining a feasibility coefficient, optimizing and adjusting the space area control plan based on the feasibility coefficient; based on the optimized and adjusted The spatial area management and control plan implements the management and control of the urban and rural spatial areas to be controlled, and implements a technical solution for intelligent supervision of the control process through the big data intelligent supervision module. Then achieve the technical effect of using big data technology to control urban and rural space, improve the level and efficiency of space control, and then improve the effectiveness and rationality of the quality of urban and rural space planning and control.

Description of drawings

Fig. 1 is a schematic flow chart of a method for urban and rural space management and control based on big data technology of the present application;

Fig. 2 is a schematic flow diagram of building a space control simulation model in a method for urban and rural space control based on big data technology in the present application;

Fig. 3 is a schematic flow diagram of determining the spatial region coding system in a method of urban and rural space management and control based on big data technology in the present application;

Fig. 4 is the structural representation of a kind of urban and rural space management and control system based on big data technology of the present application;

Explanation of reference numerals: information collection module 11 , data acquisition module 12 , model construction module 13 , information acquisition module 14 , simulation module 15 , optimization adjustment module 16 , intelligent supervision module 17 .

detailed description

This application provides a method system for urban and rural space management and control based on big data technology, which solves the technical problems of the existing technology that there are many space control elements and takes a long time, which affects the quality and efficiency of urban and rural management and control, and achieves the goal of using big data technology. The technical effect of applying management and control on urban and rural space, improving the level and efficiency of space management and control, and then improving the effectiveness and rationality of the quality of urban and rural space planning management and control.

Embodiment one

As shown in Figure 1, the present application provides a method for urban and rural space management and control based on big data technology, the method comprising:

Step S100: collect information on urban and rural spatial areas to be controlled through big data, and obtain urban and rural spatial area resource data information;

Specifically, urban-rural space management and control takes space resources across administrative boundaries, environmental protection and development coordination as the main object, conducts unified protection and distribution of rights and interests for space resources across administrative boundaries, coordinates the interests of multiple organizations, and promotes the development of capital, land, and labor. Production factors such as production, technology, and information are integrated to facilitate the implementation of important cross-regional projects and decisions. Therefore, clarifying the urban and rural space management and control plan has important practical significance for the rational construction and development of urban and rural areas.

Use big data technology to collect relevant information on urban and rural spatial areas to be controlled, including images, text, data, etc., to collect and obtain data more comprehensively and accurately, and to obtain urban and rural spatial area resource data information. The urban and rural spatial area resource data information includes surrounding environment, Regional population, economic development, natural resources, historical buildings, regional layout, traffic conditions, education, energy, communications, medical care, water conservancy, culture and sports, greening and other related information.

Step S200: Acquiring the spatial region collaborative regulation criteria and regional planning target information of the urban-rural spatial region to be controlled;

Specifically, the spatial region coordinated regulation criterion for the urban and rural spatial regions to be controlled is the principle of overall coordinated development formulated according to the characteristics of the region to be controlled, and the sustainable development principle of rational use of land resources, ecological resources, and market resources. The regional planning target information of the urban-rural spatial region to be controlled is the regional development goal formulated according to the control scope of the region to be controlled, including cultural development goals, economic development goals, etc.

Step S300: Based on the urban-rural spatial region resource data information, the spatial region coordinated regulation criterion and the regional planning target information, construct a spatial control simulation model;

As shown in Figure 2, further speaking, the construction of a spatial control simulation model based on the urban and rural spatial region resource data information, the spatial region collaborative regulation criterion and the regional planning target information, the step S300 of this application also includes:

Step S310: Carry out data structured classification on the resource data information of the urban and rural spatial regions, and obtain structured resource data sets, unstructured resource data sets and semi-structured resource data sets;

Step S320: Determine the spatial region coding system according to the region planning target information;

Step S330: Encoding the structured resource data set, the unstructured resource data set and the semi-structured resource data set according to the spatial region coding system to obtain coded urban and rural spatial region resource data information;

Step S340: Perform element analysis on the coded urban-rural spatial region resource data information based on the spatial-region collaborative regulation criterion to obtain resource element information of urban-rural spatial region;

Step S350: Based on the resource element information of the urban-rural space area, the collaborative control criterion of the space area and the target information of the area planning, construct the simulation model of the space control.

As shown in Figure 3, further speaking, the step S320 of this application also includes:

Step S321: Determine the regional planning management and control strategy according to the regional planning target information;

Step S322: Based on the resource data information of the urban and rural spatial regions, obtain the distribution information of the urban and rural spatial regions;

Step S323: Divide the urban and rural spatial area distribution information according to the regional planning management and control strategy to obtain the spatial area management and control level;

Step S324: Perform coding according to the spatial region management and control level, and determine the spatial region coding system.

Further, the element analysis of the coded urban-rural spatial region resource data information based on the spatial-region coordinated regulation criterion is performed to obtain resource element information of urban-rural spatial region. Step S340 of this application further includes:

Step S341: Obtain resource allocation criteria, coordinated development criteria, and market regulation criteria according to the spatial region coordinated regulation criteria;

Step S342: Based on the resource allocation criterion, the coordinated development criterion, and the market regulation criterion, respectively perform factor analysis on the resource data information of the coded urban and rural spatial regions, and obtain resource allocation analysis elements, coordinated development analysis elements, and market regulation analysis elements;

Step S343: Perform element fusion on the resource allocation analysis elements, the coordinated development analysis elements, and the market regulation analysis elements to obtain the resource element information of the urban and rural spatial regions.

Specifically, based on the urban and rural spatial region resource data information, the spatial region collaborative regulation criterion and the regional planning target information, a spatial control simulation model is constructed, and the spatial control simulation model is used for data simulation of the spatial region to be controlled . Due to the variety of data types acquired by big data, firstly, data structure classification is carried out on the resource data information of urban and rural spatial regions, and the structured resource data set obtained after classification means that it can be represented and stored by using a relational database, and can be represented by a two-dimensional table. To logically express the realized data, such as two-dimensional table data, numbers, etc.; unstructured resource datasets are data without a fixed structure, such as pictures, videos, locations, etc.; and semi-structured resource datasets are structured data A form that does not conform to the data model structure associated with relational databases or other forms of data tables, such as mail, HTML, repositories, etc.

According to the regional planning target information, a spatial region coding system is determined, and the spatial region coding system is a benchmark for classifying and coding the regions to be controlled. Specifically, the regional planning management and control strategy is determined according to the regional planning target information. The regional planning management and control strategy is a criterion for spatial management of the area to be controlled. For example, the area to be controlled is controlled by region and level. Based on the urban-rural spatial regional resource data information, the urban-rural spatial regional distribution information, that is, the geographic distribution information of various spatial resources such as land, ecology, and buildings, is acquired.

According to the regional planning management and control strategy, the distribution information of the urban and rural spatial regions is divided, and different spatial regions correspond to different management and control levels, and the corresponding management and control levels of each spatial region are obtained. For example, the spatial regions are divided into suitable construction areas, For restricted construction areas and prohibited construction areas, corresponding management and control levels are carried out according to the divided areas, mainly including supervision-type control, control-type control and guidance-type control. Each region is hierarchically coded according to the spatial region management and control level, and the spatial region coding system is determined, for example, coding in the form of hierarchy + region number, which facilitates the processing and classification of the control region data.

Encoding the structured resource data set, the unstructured resource data set and the semi-structured resource data set according to the spatial region coding system to obtain coded urban and rural spatial region resource data information after region coding. Based on the spatial region coordinated regulation criterion, elemental analysis is performed on the encoded urban and rural spatial region resource data information, specifically, according to the spatial region coordinated regulation criterion, resource allocation criteria are obtained, including ecological resources, water and land resources, cultural resources, and infrastructure Resource allocation guidelines; coordinated development guidelines, that is, resource and economic sustainable development planning guidelines; market regulation guidelines, that is, the coordination principles of market economy development and infrastructure construction.

Based on the resource allocation criterion, the coordinated development criterion, and the market regulation criterion, elemental analysis is performed on the resource data information of the coded urban and rural spatial regions, that is, each control area is planned in combination with the resource allocation, coordinated development, and market regulation criteria Analysis, to judge whether it is suitable for the development of the element and the level of corresponding elements suitable for development, and obtain the corresponding analysis elements of resource allocation, coordinated development analysis, and market regulation analysis respectively. Perform element fusion on the resource allocation analysis elements, the coordinated development analysis elements, and the market regulation analysis elements to obtain the resource element information of the urban and rural spatial regions, and the resource element information of the urban and rural spatial regions is the appropriate Development factor information, including resource development and economic development factors.

Based on the resource element information of the urban-rural space area, the coordinated control criterion of the space area and the target information of the area planning, the space management and control simulation model is constructed, and the space management and control simulation model is used to carry out the spatial resource data of the space area to be controlled and controlled. simulation. By building a simulation model to simulate urban and rural spatial data, it is intuitive and efficient, reduces management and control costs, and then improves the level and efficiency of spatial management and control.

Step S400: Acquiring the location advantages of the urban-rural space area to be controlled and the planning objectives of the preset stage;

Specifically, the location advantage of the urban-rural space area to be controlled is the comprehensive resource advantage of the location, that is, the objectively existing favorable conditions or superior position of the urban-rural space area to be controlled in terms of economic development. Its constituent factors mainly include: natural resources, geographical location, and society, economy, technology, management, politics, culture, education, tourism, etc., mainly including transportation advantages (such as coastal areas), environmental advantages (such as Silicon Valley), talent advantages ( university town), resource advantages (mineral products and the like), energy advantages (water, coal and the like), market advantages, etc. The preset stage planning target is the planning stage control planning target of the urban-rural space area to be controlled, which is determined by the overall regional planning target.

Step S500: Simulate the space management and control simulation model according to the location advantages and the preset stage planning goals, and output a space area management and control plan;

Specifically, input the location advantages and the preset stage planning objectives into the space management and control simulation model for simulation, and output the space area management and control plan, the management and control of the urban and rural space areas to be controlled in the space area management and control plan Plans, including regional construction plans, resource development plans, economic development plans, facility planning plans, landscape architecture construction plans, transportation facility planning plans, etc.

Step S600: Carry out a feasibility analysis on the space area management and control scheme to obtain a feasibility coefficient, and optimize and adjust the space area management and control scheme based on the feasibility coefficient;

Furthermore, the feasibility analysis of the space area control plan to obtain the feasibility coefficient, the step S600 of this application also includes:

Step S610: The feasibility analysis includes operational feasibility, economic feasibility, and ecological feasibility;

Step S620: Carry out a feasibility analysis on the space area management and control plan based on the operational feasibility, the economic feasibility, and the ecological feasibility, and obtain operational feasibility, economic feasibility, and ecological feasibility;

Step S630: Obtain weighted attribute information, perform weighted analysis on the operational feasibility, the economic feasibility, and the ecological feasibility based on the weighted attribute information, and obtain the feasibility coefficient.

Further, the step S630 of obtaining the weighted attribute information in this application also includes:

Step S631: Obtain the attribute information of spatial area management and control evaluation;

Step S632: Perform principal component analysis on the spatial region management and control evaluation attribute information to obtain dimensionality-reduced spatial region management and control evaluation attribute information;

Step S633: Obtain the weighted attribute information based on factor analysis of the dimensionality reduction spatial region management and control evaluation attribute information.

Specifically, the feasibility analysis is carried out on the space area control plan, and the feasibility analysis includes operational feasibility, that is, the feasibility of construction operations in urban and rural control areas; economic feasibility, that is, the economic feasibility of cost control; ecological feasibility, That is, the feasibility of controlling the impact on the ecological environment brought about by development. Based on the operational feasibility, the economic feasibility, and the ecological feasibility, the feasibility calculation and analysis of the space area management and control scheme is performed, and the corresponding operational feasibility, economic feasibility, and ecological feasibility are sequentially obtained.

The weighted attribute information is the weight distribution result of the operational feasibility, the economic feasibility, and the ecological feasibility. The specific obtaining process is to first clarify the spatial area management and control evaluation attribute information, and the spatial area management and control evaluation attribute information is In order to ensure the feasibility of the management and control scheme, a number of relevant evaluation variables are proposed, such as the evaluation of control time, construction planning parameters, and economic cost parameters, each of which reflects the feasibility of the implementation of the management and control scheme to varying degrees. Perform principal component analysis on the attribute information of the spatial region control evaluation, that is, perform dimensionality reduction processing on the spatial region control evaluation attribute information. The dimensionality reduction processing can reduce the complexity of time and space, and remove the noise mixed in the matrix data set , the important features are clearly displayed in the data, so as to obtain the attribute information that is highly correlated with the evaluation of the feasibility of the implementation of the management and control scheme, that is, the attribute information of the dimensionality reduction spatial area management and control evaluation. By using principal component analysis to reduce the dimensionality of spatial area control evaluation attribute information, the computational complexity of the system is reduced, thereby improving the accuracy and reliability of the feasibility analysis of control schemes.

Based on the factor analysis of the attribute information of the management and control evaluation of the dimensionality reduction space area, the common features in each attribute information are extracted, so that attribute information with the same nature is classified into one attribute information. Wherein, the weight of attribute information with more common factors corresponds to a larger weight, and the weight of attribute information with less common factors corresponds to a smaller weight, so that the weighted attribute information is obtained. Based on the weighted attribute information, perform weighted analysis and calculation on the operation feasibility, the economic feasibility, and the ecological feasibility to obtain the feasibility coefficient, and the feasibility coefficient is used to indicate the spatial area management and control plan Feasibility, the larger the coefficient, the higher the feasibility of the control plan.

Based on the feasibility coefficient, optimize and adjust the spatial area management and control scheme. When the feasibility coefficient is too low, the management and control scheme can be adjusted for construction planning parameters or economic cost optimization to ensure that the feasibility of the management and control scheme meets the standard, thereby improving urban and rural space. Effectiveness and rationality of planning and controlling quality.

Step S700: Based on the optimized and adjusted spatial area management and control plan, implement the management and control of the urban and rural spatial areas to be controlled, and intelligently supervise the management and control process through the big data intelligent supervision module.

Furthermore, the intelligent supervision of the management and control process through the big data intelligent supervision module, the step S700 of this application also includes:

Step S710: Carry out intelligent supervision on the management and control process through the big data intelligent supervision module, and obtain real-time management and control information of the space area;

Step S720: Based on the real-time management and control information of the space area and the preset stage planning target, obtain the completion degree of space management and control implementation;

Step S730: Perform iterative update training on the space control simulation model according to the completion degree of the space control implementation, to obtain a space control simulation update model.

Specifically, based on the optimized and adjusted spatial region management and control plan, the urban and rural spatial regions to be controlled are managed and controlled. At the same time, in order to ensure the precise control of the management and control implementation process, the management and control process is intelligently implemented through the big data intelligent supervision module. Supervision, to obtain real-time management and control information of space areas, including management and control progress information, management and control cost information, etc.

Based on the comparative analysis of the real-time management and control information of the space area and the planning target of the preset stage, the completion degree of the implementation of the space management and control is obtained, and it is judged whether the completion degree of the implementation reaches the preset planning target. Perform iterative update training on the space control simulation model according to the completion degree of the space control implementation, ensure the real-time accuracy of the model training simulation data, obtain the updated space control simulation update model, improve the accuracy of the model simulation, and improve the level of space control and control efficiency, thereby improving the effectiveness and rationality of urban and rural spatial planning control quality.

In summary, a method and system for urban and rural space management and control based on big data technology provided by this application has the following technical effects:

Due to the use of urban and rural spatial regional resource data information based on big data collection, spatial regional collaborative regulation criteria and regional planning target information, a spatial control simulation model is constructed, and then the spatial control simulation model is carried out according to the location advantages and preset stage planning objectives. Simulation, outputting a space area management and control plan, performing a feasibility analysis on the space area control plan, obtaining a feasibility coefficient, optimizing and adjusting the space area control plan based on the feasibility coefficient; based on the optimized and adjusted The spatial area management and control plan implements the management and control of the urban and rural spatial areas to be controlled, and implements a technical solution for intelligent supervision of the control process through the big data intelligent supervision module. Then achieve the technical effect of using big data technology to control urban and rural space, improve the level and efficiency of space control, and then improve the effectiveness and rationality of the quality of urban and rural space planning and control.

Embodiment two

Based on the same inventive concept as the method of urban and rural space management and control based on big data technology in the foregoing embodiments, the present invention also provides an urban and rural space management and control system based on big data technology, as shown in Figure 4, the system includes:

The information collection module 11 is used to collect information on urban and rural spatial areas to be controlled through big data, and obtain urban and rural spatial area resource data information;

The data acquisition module 12 is used to acquire the spatial area coordinated regulation criteria and regional planning target information of the urban-rural spatial area to be controlled;

A model construction module 13, configured to construct a spatial control simulation model based on the urban-rural spatial region resource data information, the spatial region collaborative regulation criterion and the regional planning target information;

The information acquisition module 14 is used to acquire the location advantages and preset stage planning objectives of the urban-rural space area to be controlled;

A simulation module 15, configured to simulate the space control simulation model according to the location advantage and the preset stage planning target, and output a space area control plan;

An optimization and adjustment module 16, configured to analyze the feasibility of the space area management and control scheme, obtain a feasibility coefficient, and optimize and adjust the space area management and control scheme based on the feasibility coefficient;

The intelligent supervision module 17 is configured to implement the management and control of the urban and rural spatial areas to be controlled based on the optimized and adjusted spatial area management and control scheme, and intelligently supervise the management and control process through the big data intelligent supervision module.

Further, the model construction module also includes:

A data classification unit, configured to perform data structured classification on the resource data information of the urban and rural spatial regions, and obtain structured resource data sets, unstructured resource data sets and semi-structured resource data sets;

A coding system determining unit, configured to determine a spatial region coding system according to the regional planning target information;

A data encoding unit, configured to encode the structured resource data set, the unstructured resource data set, and the semi-structured resource data set according to the spatial region coding system to obtain encoded urban and rural spatial region resource data information;

An element analysis unit, configured to perform element analysis on the coded urban-rural spatial region resource data information based on the spatial region collaborative regulation criterion, to obtain resource element information of urban-rural spatial region;

A model construction unit, configured to construct the spatial control simulation model based on the urban-rural spatial region resource element information, the spatial region collaborative regulation criterion, and the regional planning target information.

Further, the encoding system determination unit also includes:

A management and control strategy determining unit, configured to determine a regional planning management and control strategy according to the regional planning target information;

A regional distribution acquisition unit, configured to obtain urban and rural spatial regional distribution information based on the urban and rural spatial regional resource data information;

A management and control level obtaining unit, configured to divide the urban and rural spatial area distribution information according to the regional planning management and control strategy, and obtain the spatial area management and control level;

A coding determination unit, configured to perform coding according to the management and control level of the spatial region, and determine the coding system of the spatial region.

Further, the element analysis unit also includes:

A regulation criterion determining unit, configured to obtain resource allocation criterion, coordinated development criterion, and market regulation criterion according to the space-region coordinated regulation criterion;

An analysis element obtaining unit, configured to perform element analysis on the encoded urban and rural spatial region resource data information based on the resource allocation criterion, the coordinated development criterion, and the market regulation criterion, to obtain resource allocation analysis elements and coordinated development analysis elements , Market adjustment analysis elements;

The element fusion unit is configured to perform element fusion on the resource allocation analysis elements, the coordinated development analysis elements, and the market regulation analysis elements to obtain the resource element information of the urban and rural spatial regions.

Further, the optimization adjustment module also includes:

Feasibility constituent unit, used for the feasibility analysis including operational feasibility, economic feasibility, and ecological feasibility;

A feasibility analysis unit, configured to conduct a feasibility analysis on the space area control scheme based on the operational feasibility, the economic feasibility, and the ecological feasibility, and obtain operational feasibility, economic feasibility, and ecological feasibility;

A weighted analysis unit, configured to obtain weighted attribute information, perform weighted analysis on the operational feasibility, the economic feasibility, and the ecological feasibility based on the weighted attribute information, and obtain the feasibility coefficient.

Further, the weighted analysis unit also includes:

The evaluation attribute acquisition unit is used to obtain the spatial area management and control evaluation attribute information;

A principal component analysis unit, configured to perform principal component analysis on the spatial region management and control evaluation attribute information to obtain dimensionality-reduced spatial region management and control evaluation attribute information;

The factor analysis unit is configured to obtain the weighted attribute information based on performing factor analysis on the dimensionality reduction spatial region management and control evaluation attribute information.

Further, the intelligent supervision module also includes:

The real-time management and control unit is used to intelligently supervise the management and control process through the big data intelligent supervision module, and obtain real-time management and control information of the space area;

An implementation completion degree obtaining unit, configured to obtain a space management and control implementation completion degree based on the real-time management and control information of the space area and the preset stage planning objectives;

A model updating unit, configured to iteratively update and train the space control simulation model according to the degree of completion of the space control implementation, to obtain a space control simulation update model.

The present application provides a method for urban and rural space management and control based on big data technology. The method includes: collecting information on urban and rural spatial areas to be controlled through big data, and obtaining resource data information of urban and rural spatial areas; obtaining information on the urban and rural spatial areas to be controlled. Spatial region coordinated regulation criteria and regional planning target information; based on the urban and rural spatial region resource data information, the spatial region coordinated regulation criterion and the regional planning target information, construct a spatial control simulation model; obtain the urban and rural spatial region to be controlled The location advantage and the preset stage planning goal; according to the location advantage and the preset stage planning goal, simulate the space control simulation model, and output the space area control plan; carry out the feasibility of the space area control plan Analyze to obtain the feasibility coefficient, optimize and adjust the spatial area management and control plan based on the feasibility coefficient; implement the management and control of the urban and rural spatial area to be controlled based on the optimized and adjusted spatial area management and control plan, and pass the large-scale The data intelligent supervision module conducts intelligent supervision on the control process. It solves the technical problems that the existing technical space management and control elements are many and time-consuming, which affects the quality and efficiency of urban and rural management and control. Through the use of big data technology to control urban and rural space, improve the level and efficiency of space control, and then improve the effectiveness and rationality of the quality of urban and rural space planning and control.

The specification and drawings are only exemplary descriptions of the application. If the modifications and variations of the present invention fall within the scope of the present invention and its equivalent technology, the present invention also intends to include these modifications and variations.

Claims (8)

1. A method for urban and rural space management and control based on big data technology, characterized in that, the method comprises: Collect information on urban and rural spatial areas to be controlled through big data, and obtain resource data information in urban and rural spatial areas; Obtaining the spatial region coordinated regulation criteria and regional planning target information of the urban and rural spatial region to be controlled; Constructing a space management and control simulation model based on the resource data information of the urban-rural space area, the collaborative regulation criterion of the space area and the target information of the area planning; Obtain the location advantages of the urban and rural spatial areas to be controlled and the planning objectives of the preset stages; Simulating the space management and control simulation model according to the location advantages and the preset stage planning objectives, and outputting a space area management and control plan; Performing a feasibility analysis on the space area management and control scheme to obtain a feasibility coefficient, and optimizing and adjusting the space area management and control scheme based on the feasibility coefficient; Based on the optimized and adjusted spatial area management and control plan, the urban and rural spatial areas to be controlled are managed and implemented, and the management and control process is intelligently supervised through the big data intelligent supervision module. 2. The method according to claim 1, wherein said building a space management and control simulation model based on said urban and rural spatial region resource data information, said spatial region collaborative regulation criterion and said regional planning target information includes: performing data structured classification on the resource data information of the urban and rural spatial regions, and obtaining structured resource data sets, unstructured resource data sets and semi-structured resource data sets; Determine the spatial region coding system according to the regional planning target information; Encoding the structured resource data set, the unstructured resource data set and the semi-structured resource data set according to the spatial region coding system to obtain coded urban and rural spatial region resource data information; Perform element analysis on the coded urban-rural spatial region resource data information based on the spatial-region collaborative regulation criterion, to obtain urban-rural spatial region resource element information; The spatial management and control simulation model is constructed based on the resource element information of the urban-rural spatial region, the collaborative regulation criterion of the spatial region, and the regional planning target information. 3. The method according to claim 2, wherein said determining a spatial region coding system according to said regional planning target information comprises: Determine the regional planning management and control strategy according to the regional planning target information; Obtaining urban and rural spatial region distribution information based on the urban and rural spatial region resource data information; Dividing the urban and rural spatial area distribution information according to the regional planning management and control strategy to obtain the spatial area management and control level; Coding is carried out according to the management and control level of the space area, and the coding system of the space area is determined. 4. The method according to claim 2, characterized in that, the said coded urban-rural spatial region resource data information is subjected to elemental analysis based on said spatial region coordinated regulation criterion, and the resource element information of urban-rural spatial region is obtained, comprising: According to the coordinated regulation and control criterion of the space area, the resource allocation criterion, the coordinated development criterion and the market regulation criterion are obtained; Based on the resource allocation criterion, the coordinated development criterion, and the market regulation criterion, respectively perform element analysis on the resource data information of the coded urban and rural spatial regions, and obtain resource allocation analysis elements, coordinated development analysis elements, and market regulation analysis elements; Element fusion is performed on the resource allocation analysis elements, the coordinated development analysis elements, and the market regulation analysis elements to obtain resource element information of the urban and rural spatial regions. 5. The method according to claim 1, wherein said performing a feasibility analysis on said space area control scheme to obtain a feasibility coefficient comprises: The feasibility analysis includes operational feasibility, economic feasibility, and ecological feasibility; Carrying out a feasibility analysis on the space area management and control scheme based on the operational feasibility, the economic feasibility, and the ecological feasibility, to obtain operational feasibility, economic feasibility, and ecological feasibility; Obtaining weighted attribute information, performing weighted analysis on the operational feasibility, the economic feasibility, and the ecological feasibility based on the weighted attribute information, to obtain the feasibility coefficient. 6. The method according to claim 5, wherein said obtaining weighted attribute information comprises: Obtain the attribute information of space area management and control evaluation; Performing principal component analysis on the attribute information of the spatial region management and control evaluation to obtain dimensionality-reduced spatial region management and control evaluation attribute information; The weighted attribute information is obtained based on factor analysis of the dimensionality reduction spatial region management and control evaluation attribute information. 7. The method according to claim 1, wherein the intelligent supervision of the management and control process through the big data intelligent supervision module includes: Through the big data intelligent supervision module, the management and control process is intelligently supervised to obtain real-time management and control information of the space area; Based on the real-time management and control information of the space area and the planning target of the preset stage, the degree of completion of space control implementation is obtained; Perform iterative update training on the space control simulation model according to the degree of completion of the space control implementation to obtain a space control simulation update model. 8. A kind of urban and rural space management and control system based on big data technology, it is characterized in that, described system comprises: The information collection module is used to collect information on urban and rural spatial areas to be controlled through big data, and obtain resource data information in urban and rural spatial areas; The data acquisition module is used to acquire the spatial area coordinated regulation criteria and regional planning target information of the urban-rural spatial area to be controlled; A model building module, configured to construct a spatial management and control simulation model based on the urban-rural spatial region resource data information, the spatial region collaborative regulation criterion and the regional planning target information; An information acquisition module, used to acquire the location advantages of the urban and rural spatial areas to be controlled and the planning objectives of the preset stages; A simulation module, configured to simulate the space control simulation model according to the location advantage and the preset stage planning target, and output a space area control plan; An optimization and adjustment module, configured to analyze the feasibility of the space area management and control scheme, obtain a feasibility coefficient, and optimize and adjust the space area management and control scheme based on the feasibility coefficient; The intelligent supervision module is used to implement the management and control of the urban and rural spatial areas to be controlled based on the optimized and adjusted spatial area management and control scheme, and intelligently supervise the management and control process through the big data intelligent supervision module.

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