CN-122022097-A - Intelligent industrial space planning layout method

CN122022097ACN 122022097 ACN122022097 ACN 122022097ACN-122022097-A

Abstract

The invention relates to the technical field of industrial space planning, and particularly discloses an intelligent industrial space planning layout method, which comprises the steps of collecting multidimensional data and preprocessing the multidimensional data to form a standardized data set; the method comprises the steps of constructing an evaluation model to output an industrial suitability score and a space bearing capacity grade, constructing a planning model by taking multi-objective maximization/minimization as a core, solving to obtain a Pareto optimal solution set, verifying and screening an optimal scheme through multi-scene simulation, carrying out iterative optimization if the optimal scheme does not reach the standard, dynamically monitoring operation data after landing, and triggering scheme adjustment when deviation exceeds the limit. The invention integrates multi-source data, converts subjective judgment into quantitative analysis, realizes the collaborative optimization of economic benefit, social benefit and ecological benefit, ensures planning scientificity and suitability, realizes full life cycle dynamic optimization, and promotes the high-quality development of industrial space.

Inventors

LIU HETAO
SHI XINYU
LI JUN
ZHAO BAOLONG
ZHANG XIAOHUI
XIONG JUAN
SONG ZILING
LIANG WENQIANG
HE YAOTING
CHEN YUBO
LI HAO
WANG HUI

Assignees

湖北省规划设计研究总院有限责任公司

Dates

Publication Date: 20260512
Application Date: 20260129

Claims (10)

1. An intelligent industrial space planning layout method is characterized by comprising the following steps: S1, multi-dimensional data acquisition and preprocessing, namely constructing an industrial space planning data acquisition system, acquiring basic geographic data, industrial development data, resource environment data, public service data and policy constraint data of a planning area, preprocessing the acquired data, including data cleaning, deduplication, standardized conversion and missing value filling, and forming a standardized data set; s2, evaluating the industrial suitability and the space bearing capacity, namely constructing an industrial suitability evaluation model and a space bearing capacity evaluation model based on the preprocessed standardized data set, and respectively outputting an industrial suitability score and a space bearing capacity grade; The industrial suitability evaluation model takes a dominant industrial type as a core, and obtains an industrial suitability score by calculating the weighted sum of the industrial chain matching degree, the resource demand matching degree and the policy matching degree, wherein the calculation formula is as follows: ; Wherein, the For the purpose of scoring the suitability of the industry, 、、 Weight coefficients of the industry chain matching degree, the resource demand matching degree and the policy matching degree respectively, and , For the degree of matching of the industry chain, For the degree of matching of the resource requirements, Is policy compliance; the space bearing capacity evaluation model determines the space bearing capacity grade by calculating the comprehensive value of land utilization strength, resource supply and demand balance index and environment bearing index; S3, constructing and solving a multi-target planning model, namely constructing the multi-target industrial space planning model by taking maximization of industrial aggregate benefit, maximization of resource utilization efficiency, minimization of ecological environment influence and optimization of public service matching as targets, wherein constraint conditions of the multi-target industrial space planning model comprise land utilization constraint, policy constraint, resource environment constraint and traffic line constraint; Solving the multi-objective industrial space planning model by adopting an improved non-dominant sorting genetic algorithm, and outputting a Pareto optimal solution set, wherein each solution corresponds to a set of industrial space planning initial schemes; S4, planning scheme simulation verification and optimization, namely building an industrial space planning simulation platform, importing each initial scheme in a Pareto optimal solution set into the simulation platform to perform multi-scene simulation, constructing a scheme comprehensive evaluation index system based on simulation results, grading and sorting all the initial schemes from four dimensions of scientificity, suitability, sustainability and operability, and screening an optimal planning scheme; S5, dynamic monitoring and real-time adjustment, namely building a dynamic monitoring system after the optimal planning scheme is subjected to floor implementation, collecting industrial space operation data in real time, comparing and analyzing the real-time monitoring data with planning expected data, triggering a scheme adjustment mechanism when the deviation value exceeds a preset deviation threshold value, updating a standardized data set based on the real-time data, repeating the steps S2-S4, and generating scheme adjustment suggestions to realize dynamic optimization of the planning scheme.
2. The intelligent industrial space planning layout method according to claim 1, wherein in the step S1, the basic geographic data comprises topography, land utilization status, traffic road network distribution and water system distribution, the industrial development data comprises dominant industrial types, industrial chain upstream and downstream enterprise information, capacity scale, labor requirements and logistics requirements, the resource environment data comprises water resource reserves, energy supply capacity, environment bearing threshold and ecological protection area range, the public service data comprises education, medical treatment, distribution and capacity of commercial supporting facilities and public transportation capacity, and the policy constraint data comprises land utilization planning, industry admission policy and environmental emission standards.
3. The intelligent industrial space planning layout method according to claim 2, wherein in the step S1, the data acquisition mode specifically comprises the steps of capturing public data of natural resources, industrial supervision and public service departments on line, carrying out on-site check on a planning area by an off-line organization professional team, supplementing perfect data, and arranging sensors on key nodes of the planning area to carry out real-time data acquisition.
4. The method of claim 3, wherein in step S2, the space bearing capacity is classified into three classes, namely high, medium and low, the class classification standard is that the integrated value is higher than or equal to 80, the integrated value is lower than or equal to 50, the integrated value is lower than 80.
5. The method of claim 4, wherein in step S2, the industry chain matching degree is obtained by calculating a product of an upstream and downstream enterprise space distance and an industry association degree, the resource demand matching degree is obtained by calculating a ratio of an industry resource demand amount to an area resource supply amount, and the policy matching degree is obtained by quantitatively scoring against an industry admission policy and a land utilization policy.
6. The method of intelligent industrial space planning layout of claim 5, wherein in step S3, the objective function of the multi-objective industrial space planning model comprises: industry aggregate benefit maximization objective function: Wherein, the method comprises the steps of, For the number of types of industry, In order to plan the number of plots, Is a variable of 0-1 Represent the first Class industry layout in the first The ground block is provided with a plurality of holes, It is shown that there is no layout, Is the first Class industry is in the first The gathering benefit coefficient of the land parcels; maximizing the resource utilization efficiency objective function: Wherein, the method comprises the steps of, Is the first Class industry is in the first The resource utilization amount of the land parcels, Is the first The total amount of resources of the land block; ecological environment impact minimization objective function: Wherein, the method comprises the steps of, Is the first Class industry is in the first Ecological environment influence coefficients of plots; Public service set optimization objective function: , wherein, For the number of types of public service facilities, Is a variable which is 0 to 1, Represent the first Class public service facility layout in the first place The ground block is provided with a plurality of holes, It is shown that there is no layout, Is the first Class public service facility layout in the first place Service fitness coefficients of the plot.
7. The method of claim 6, wherein in step S4, the scenes simulated by the multi-scene simulation include an industrial operation scene, a traffic flow scene, a resource consumption scene and an ecological environment evolution scene.
8. The intelligent industrial space planning layout method according to claim 7, wherein in the step S4, the weight of the comprehensive evaluation index system is determined by adopting a hierarchical analysis method, the dimensions of the comprehensive evaluation index system comprise scientific indexes, suitability indexes, sustainability indexes and operability indexes, the scientific indexes comprise industrial concentration and resource utilization efficiency, the suitability indexes comprise industrial suitability and public service matching suitability, the sustainability indexes comprise ecological environment influence degree and resource bearing capacity, and the operability indexes comprise construction cost and implementation difficulty.
9. The intelligent industrial space planning layout method according to claim 8, wherein in step S4, the preset threshold is more than or equal to 90 minutes, and in step 5, the preset deviation threshold is less than or equal to 10 percent.
10. The method of claim 9, wherein the real-time industrial space operation data includes enterprise production data, traffic flow data, resource consumption data, environmental quality data, and public service usage data.

Description

Intelligent industrial space planning layout method Technical Field The invention relates to the technical field of industrial space planning, in particular to an intelligent industrial space planning layout method. Background The current industrial space planning layout is designed by combining static population, traffic, land utilization and other data, and has the technical defects that firstly, the data dimension is single, the traditional planning is focused on basic indexes such as land property, volume rate and the like, core influence factors such as industrial suitability, resource supply and demand balance, ecological bearing threshold and the like are ignored, so that the planning scheme is disjointed from actual industrial development demands, secondly, the decision process is subjectified, quantitative analysis model support is lacked, rationality and scientificity of the planning layout are difficult to ensure, the problems such as insufficient industrial concentration, redundant or shortage of supporting facilities, logistics line conflict and the like are easy to occur, thirdly, the dynamic adjustment capability is weak, the existing planning scheme is mostly static achievement, cannot respond to external factors such as industrial upgrading, policy adjustment, market change and the like in real time, the industrial space utilization rate is low, sustainable development capability is insufficient, and fourthly, the multi-objective cooperative performance is poor, the economic benefit, social benefit and ecological benefit are not effectively balanced, and the problems such as environmental pollution, resource waste and public service lag are easy to occur. Aiming at the technical problems, an intelligent industrial space planning layout method capable of achieving multi-dimensional data fusion, quantitative modeling decision, dynamic real-time optimization and multi-objective collaborative balance does not exist in the prior art, and an innovative technical scheme is needed to be provided so as to make up for the defects of the prior art. Disclosure of Invention The technical problem to be solved by the invention is to provide an intelligent industrial space planning layout method, which realizes the digitization, the intellectualization, the precision and the dynamics of the industrial space planning and improves the scientificity, the suitability and the sustainability of a planning scheme. In order to solve the technical problems, the technical scheme provided by the invention is that an intelligent industrial space planning layout method comprises the following steps: S1, multi-dimensional data acquisition and preprocessing, namely constructing an industrial space planning data acquisition system, acquiring basic geographic data, industrial development data, resource environment data, public service data and policy constraint data of a planning area, preprocessing the acquired data, including data cleaning, deduplication, standardized conversion and missing value filling, and forming a standardized data set; s2, evaluating the industrial suitability and the space bearing capacity, namely constructing an industrial suitability evaluation model and a space bearing capacity evaluation model based on the preprocessed standardized data set, and respectively outputting an industrial suitability score and a space bearing capacity grade; The industrial suitability evaluation model takes a dominant industrial type as a core, and obtains an industrial suitability score by calculating the weighted sum of the industrial chain matching degree, the resource demand matching degree and the policy matching degree, wherein the calculation formula is as follows: ; Wherein, the For the purpose of scoring the suitability of the industry,、、Weight coefficients of the industry chain matching degree, the resource demand matching degree and the policy matching degree respectively, and,For the degree of matching of the industry chain,For the degree of matching of the resource requirements,Is policy compliance; the space bearing capacity evaluation model determines the space bearing capacity grade by calculating the comprehensive value of land utilization strength, resource supply and demand balance index and environment bearing index; S3, constructing and solving a multi-objective planning model, namely constructing a multi-objective industrial space planning model by taking maximization of industrial aggregate benefit, maximization of resource utilization efficiency, minimization of ecological environment influence and optimization of public service matching as targets; The constraint conditions of the multi-target industrial space planning model comprise land utilization constraint, policy constraint, resource environment constraint and traffic line constraint, wherein an improved non-dominant sorting genetic algorithm is adopted to solve the multi-target industrial space planning model, a Pareto optimal soluti