CN113128952A - Environment model-based industrial optimization index system construction method and system - Google Patents
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Abstract
The embodiment of the application discloses an environment model-based industrial optimization index system construction method and system, aiming at the problem that an industrial development strategy or resource environment constraint is ignored in the design and optimization process of a current industrial planning scheme, the mutual correlation and restriction factors among an industrial policy, resource energy and ecological environment are comprehensively considered, the industrial scale and structural rationality of different sub-divided industries of a planning park are judged, an industrial development optimization scenario with better comprehensive benefit is designed, environment prediction analysis is carried out through environment model prediction software, an industrial optimization composite evaluation index system construction method is provided from different dimensions, the industrial development scenario is continuously optimized, an industrial development optimization adjustment suggestion is finally determined, and the optimized planning park dominant industry, the industrial scale, the structure, the spatial layout and the like are provided. Therefore, sustainable development of the industrial park based on industrial healthy development, efficient resource utilization and coordination and unification of ecological environment protection is realized.
Description
Technical Field
The embodiment of the application relates to the technical field of industrial optimization, in particular to an industrial optimization index system construction method and system based on an environment model.
Background
At present, an industry development scheme for planning an industry park is generally determined from the perspective of industry economics according to regional industry policies, industry development current situations, strategies and trends, the limitation of resource energy and ecological environment is not considered too much, and meanwhile, only the influence factors of the resource energy and the ecological environment are considered in the industry planning optimization process of some fields, so that the industry development rule is not completely followed, and the industry development scheme is not associated and interacted with the industry development planning.
How to realize sustainable development of an industrial park based on industrial healthy development, efficient resource utilization and coordination and unification of ecological environment protection is a problem to be solved urgently.
Disclosure of Invention
Therefore, the embodiment of the application provides an industrial optimization index system construction method and system based on an environment model, influence elements of different levels such as industrial policies, resource energy and ecological environment are comprehensively considered, and an industrial optimization composite evaluation index system construction method based on environment model prediction software is provided, so that sustainable development of an industrial park based on industrial health development, efficient resource utilization and ecological environment protection coordination and unification is realized.
In order to achieve the above object, the embodiments of the present application provide the following technical solutions:
according to a first aspect of the embodiments of the present application, there is provided an industry optimization index system construction method based on an environment model, the method including:
acquiring industrial development elements and development environment policy requirements of a target analysis industrial park;
performing industrial development environment rationality analysis according to the industrial development requirements of the target industrial park to obtain an industrial development environment rationality analysis result;
carrying out industrial development optimization scenario setting according to the development environment policy requirements and the industrial development environment rationality analysis result to obtain a plurality of industrial development optimization scenarios;
combining the planning industry development reference scene with different optimization scene development modes based on an environment prediction model, and performing environment prediction analysis to obtain an environment prediction result;
judging the industrial scale and structural rationality of each industry in the industrial park based on economic development, industrial policies, resource energy and ecological environment conditions, and continuously optimizing the development prospect of unreasonable industries;
and determining an industry target development scenario and an industry development optimization adjustment suggestion based on the industry development optimization scenario setting, the environment prediction result and the development prospect of continuous optimization, wherein the industry development optimization adjustment suggestion comprises a planning park dominant industry and the industry scale, structure and spatial layout thereof.
Optionally, the determining the industrial scale and structural rationality of each industry in the industrial park based on industrial policies, resource and energy and ecological environmental conditions, and continuously optimizing the development prospects of unreasonable industries, includes:
and determining a limit value and a weighted value through the evaluation indexes, multiplying the limit value and the weighted value by a corresponding industry output value, accumulating to obtain a composite evaluation value, judging whether the optimization scene is feasible or not based on an industry policy, resource energy and ecological environment conditions, and continuously optimizing the industry development scene if the optimization scene is not feasible.
Optionally, the industry development elements include industry development direction, function positioning, industry structure, space layout, industry resource consumption intensity and pollutant discharge coefficient of the target analysis industry park.
According to a second aspect of the embodiments of the present application, there is provided an industry optimization index system building system based on an environment model, the system including:
the information acquisition module is used for acquiring industrial development elements and development environment policy requirements of the target analysis industrial park;
the industrial development environment rationality analysis module is used for carrying out industrial development environment rationality analysis according to the industrial development requirements of the target industrial park to obtain an industrial development environment rationality analysis result;
the industrial development optimization scenario setting module is used for setting industrial development optimization scenarios according to the development environment policy requirements and the industrial development environment rationality analysis result to obtain a plurality of industrial development optimization scenarios;
the environment prediction analysis module is used for combining the planning industry development reference scene and different optimization scene development modes based on an environment prediction model to carry out environment prediction analysis to obtain an environment prediction result;
the scene optimization module is used for judging the industrial scale and structural rationality of each industry in the industrial park based on economic development, industrial policies, resource energy and ecological environment conditions, and continuously optimizing the development prospect of unreasonable industries;
and the optimization and adjustment suggestion module is used for determining an industry target development scenario and an industry development optimization and adjustment suggestion based on the industry development optimization scenario setting, the environment prediction result and the development prospect of continuous optimization, wherein the industry development optimization and adjustment suggestion comprises a planning park dominant industry and the industry scale, structure and spatial layout thereof.
Optionally, the context optimization module is specifically configured to:
and determining a limit value and a weighted value through the evaluation indexes, multiplying the limit value and the weighted value by a corresponding industry output value, accumulating to obtain a composite evaluation value, judging whether the optimization scene is feasible or not based on an industry policy, resource energy and ecological environment conditions, and continuously optimizing the industry development scene if the optimization scene is not feasible.
Optionally, the industry development elements include industry development direction, function positioning, industry structure, space layout, industry resource consumption intensity and pollutant discharge coefficient of the target analysis industry park.
According to a third aspect of embodiments herein, there is provided an apparatus comprising: the device comprises a data acquisition device, a processor and a memory; the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the method of any of the first aspect.
According to a fourth aspect of embodiments herein, there is provided a computer-readable storage medium having one or more program instructions embodied therein for performing the method of any of the first aspects.
To sum up, the embodiment of the present application provides an industry optimization index system construction method and system based on an environment model, which aims at the problem that an industry development strategy or a resource environment constraint is ignored in the design and optimization process of a current industry planning scheme, comprehensively considers the mutual correlation and restriction factors among an industry policy, a resource energy source and an ecological environment, judges the industrial scale and structural rationality of different sub-industries of a planning park, designs an industry development optimization scenario with better comprehensive benefit, performs environment prediction analysis through environment model prediction software, provides an industry optimization composite evaluation index system construction method from different dimensions, continuously optimizes the industry development scenario, finally determines an industry development optimization adjustment suggestion, and provides an optimized planning park dominant industry, the industrial scale, the structure, the spatial layout and the like. Therefore, sustainable development of the industrial park based on industrial healthy development, efficient resource utilization and coordination and unification of ecological environment protection is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope of the present invention.
Fig. 1 is a schematic flowchart of a method for constructing an industry optimization index system based on an environmental model according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a planning park industry development scenario optimization method based on environment model prediction software according to an embodiment of the present application;
fig. 3 is a block diagram of an industry optimization index system construction system based on an environmental model according to an embodiment of the present application.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The method aims at the problem that industrial development strategies or resource environment constraints are ignored in the design and optimization process of the current industrial planning scheme, comprehensively considers industrial policies, mutual correlation and restriction factors between resource energy and ecological environment, judges the industrial scale and structural rationality of different subdivided industries of a planned park, designs industrial development optimization scenarios with better comprehensive benefits, carries out environment prediction analysis through environment model prediction software, provides an industrial optimization composite evaluation index system construction method from different dimensions, determines limit values and weighting values through evaluation indexes, multiplies corresponding industrial output values to obtain composite evaluation values, determines whether the optimization scenarios are feasible or not by combining comprehensive benefit analysis results, continuously optimizes the industrial development scenarios if the optimization scenarios are not feasible, finally determines industrial development optimization adjustment suggestions, provides optimized planned park dominant industries and industrial scale thereof, Structural and spatial layout, etc.
Fig. 1 shows an environment model-based industry optimization index system construction method provided by an embodiment of the present application, where the method includes:
step 101: acquiring industrial development elements and development environment policy requirements of a target analysis industrial park;
step 102: performing industrial development environment rationality analysis according to the industrial development requirements of the target industrial park to obtain an industrial development environment rationality analysis result;
step 103: carrying out industrial development optimization scenario setting according to the development environment policy requirements and the industrial development environment rationality analysis result to obtain a plurality of industrial development optimization scenarios;
step 104: combining the planning industry development reference scene with different optimization scene development modes based on an environment prediction model, and performing environment prediction analysis to obtain an environment prediction result;
step 105: judging the industrial scale and structural rationality of each industry in the industrial park based on economic development, industrial policies, resource energy and ecological environment conditions, and continuously optimizing the development prospect of unreasonable industries;
step 106: and determining an industry target development scenario and an industry development optimization adjustment suggestion based on the industry development optimization scenario setting, the environment prediction result and the development prospect of continuous optimization, wherein the industry development optimization adjustment suggestion comprises a planning park dominant industry and the industry scale, structure and spatial layout thereof.
In one possible embodiment, in step 105, the determining the industrial scale and structural rationality of each industry in the industrial park based on the industrial policy, the resource energy and the ecological environment condition, and continuously optimizing the development prospect of unreasonable industries comprises: and determining a limit value and a weighted value through the evaluation indexes, multiplying the limit value and the weighted value by a corresponding industry output value, accumulating to obtain a composite evaluation value, judging whether the optimization scene is feasible or not based on an industry policy, resource energy and ecological environment conditions, and continuously optimizing the industry development scene if the optimization scene is not feasible.
In one possible embodiment, the industry development elements include industry development direction, function orientation, industry structure, space layout, industry resource consumption intensity and pollutant discharge coefficient of the target analysis industry park.
Fig. 2 is a schematic flow chart illustrating a method for optimizing a planning park industry development scenario based on environment model prediction software according to an embodiment of the present application, and is suitable for planning design, industry optimization adjustment, and evaluation of an industrial park planning environment. And providing a construction method of a planning park industry optimization composite evaluation index system based on environment model prediction software from different dimensions of economic development, industrial policies, resource energy, ecological environment and the like, thereby realizing sustainable development of the industrial park based on industrial healthy development, efficient resource utilization and coordination and unification of ecological environment protection.
The following is detailed in several respects:
firstly, demonstrating the environment rationality of a planning scheme: by comprehensively analyzing the industrial development direction, the functional positioning, the industrial scale, the structure, the spatial layout and other industrial development factors of the planning industry in the industrial park, the rationality analysis of the industrial development environment is carried out from multiple angles such as the resource consumption intensity of different industries, the pollution discharge coefficient of main pollutant products with ten-thousand-yuan output values and the like;
secondly, optimizing scene setting in industrial development: setting industrial development optimization scenes by combining industrial admission environment policies and requirements and industrial development environment rationality analysis results;
thirdly, optimizing the prediction analysis of the scene environment model software: performing environment prediction analysis on a planning industry development standard scene and different optimization scene development modes through environment model prediction software, and performing comprehensive benefit analysis such as industry development, ecological environment and the like according to prediction results;
fourthly, evaluating and continuously optimizing an industrial optimization result: the industrial scale and the structural rationality of different segment industries in the planning park are judged by comprehensively considering the mutual correlation and restriction factors among the industrial policy, the resource energy and the ecological environment.
Providing a construction method of an industrial optimization composite evaluation index system based on environmental model prediction software from different dimensions, determining a limit value and a weighting value through evaluation indexes, multiplying the limit value and the weighting value by a corresponding industrial output value, accumulating to obtain a composite evaluation value, determining whether an optimization scenario is feasible or not by combining a comprehensive benefit analysis result, and continuously optimizing an industrial development scenario if the optimization scenario is not feasible;
fifthly, industry development optimization adjustment suggestion: through the optimization scene setting, the environmental model software prediction result analysis, the result evaluation and the continuous optimization process, the industry optimal development scene and the industry development optimization adjustment suggestion are determined, and the optimized planning park dominant industry, the industry scale, the structure, the spatial layout and the like are provided.
The method is characterized in that an industrial optimization composite evaluation index system construction method based on environmental model prediction software and a genetic algorithm is provided from comprehensive consideration of different dimensions of economic development, industrial policies, resource energy, ecological environment and the like, the evaluation value of the composite index system is calculated, the industrial development optimization situation is analyzed and optimized in a quantification mode in combination with the environmental prediction result, subjective empowerment influence can be avoided through the algorithm, the industrial development optimization adjustment suggestion of the planning park is determined comprehensively and objectively, and the industrial park sustainable development with the coupling and coordination of healthy development of the planning industry, efficient utilization of resources and ecological environment protection is realized.
To sum up, the embodiment of the application provides an industrial optimization index system construction method based on an environment model, aiming at the problem that industrial development strategies or resource environment constraints are ignored in the design and optimization process of the current industrial planning scheme, comprehensively considering the mutual correlation and restriction factors among industrial policies, resource energy and ecological environment, judging the industrial scale and structural rationality of different sub-division industries in a planning park, designing an industrial development optimization scenario with better comprehensive benefit, carrying out environment prediction analysis through environment model prediction software, providing an industrial optimization composite evaluation index system construction method from different dimensions of economic development, industrial policies, resource energy and ecological environment, determining limit values and weighting values through evaluation indexes, multiplying the limit values and the corresponding industrial production values to obtain a composite evaluation value, and quantitatively analyzing whether the optimization scenario is feasible or not by combining the environment prediction result, if not, continuously optimizing the industrial development scene, finally determining an industrial development optimization adjustment suggestion, and providing the optimized planning park leading industry and the industrial scale, structure, spatial layout and the like. Therefore, sustainable development of the industrial park based on industrial healthy development, efficient resource utilization and coordination and unification of ecological environment protection is realized.
Based on the same technical concept, an embodiment of the present application further provides an industry optimization index system construction system based on an environmental model, as shown in fig. 3, the system includes:
the information acquisition module 301 is used for acquiring industrial development elements and development environment policy requirements of a target analysis industrial park;
an industry development environment rationality analysis module 302, configured to perform industry development environment rationality analysis according to the industry development requirements of the target industry park, so as to obtain an industry development environment rationality analysis result;
an industry development optimization scenario setting module 303, configured to perform industry development optimization scenario setting according to the development environment policy requirement and the industry development environment rationality analysis result to obtain one or more industry development optimization scenarios;
the environment prediction analysis module 304 is configured to combine the planning industry development benchmark scenario with different optimized scenario development modes based on an environment prediction model, and perform environment prediction analysis to obtain an environment prediction result;
a scenario optimization module 305 for judging the industrial scale and structural rationality of each industry in the industrial park based on economic development, industrial policies, resource and energy and ecological environment conditions, and continuously optimizing the development prospect of unreasonable industries;
and the optimization and adjustment suggestion module 306 is configured to determine an industry target development scenario and an industry development optimization and adjustment suggestion based on the industry development optimization scenario setting, the environment prediction result and the development prospect of continuous optimization, where the industry development optimization and adjustment suggestion includes a planning park dominant industry and an industry scale, a structure and a spatial layout thereof.
In a possible implementation manner, the context optimization module 305 is specifically configured to: and determining a limit value and a weighted value through the evaluation indexes, multiplying the limit value and the weighted value by a corresponding industry output value, accumulating to obtain a composite evaluation value, judging whether the optimization scene is feasible or not based on an industry policy, resource energy and ecological environment conditions, and continuously optimizing the industry development scene if the optimization scene is not feasible.
In one possible embodiment, the industry development elements include industry development direction, function orientation, industry structure, space layout, industry resource consumption intensity and pollutant discharge coefficient of the target analysis industry park.
Based on the same technical concept, an embodiment of the present application further provides an apparatus, including: the device comprises a data acquisition device, a processor and a memory; the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor is configured to execute one or more program instructions to perform the method.
Based on the same technical concept, the embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium contains one or more program instructions, and the one or more program instructions are used for executing the method.
In the present specification, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. Reference is made to the description of the method embodiments.
It is noted that while the operations of the methods of the present invention are depicted in the drawings in a particular order, this is not a requirement or suggestion that the operations must be performed in this particular order or that all of the illustrated operations must be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
Although the present application provides method steps as in embodiments or flowcharts, additional or fewer steps may be included based on conventional or non-inventive approaches. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an apparatus or client product in practice executes, it may execute sequentially or in parallel (e.g., in a parallel processor or multithreaded processing environment, or even in a distributed data processing environment) according to the embodiments or methods shown in the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded.
The units, devices, modules, etc. set forth in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, in implementing the present application, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of a plurality of sub-modules or sub-units, and the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a mobile terminal, a server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same or similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The above-mentioned embodiments are further described in detail for the purpose of illustrating the invention, and it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (8)
1. An environment model-based industrial optimization index system construction method is characterized by comprising the following steps:
acquiring industrial development elements and development environment policy requirements of a target analysis industrial park;
performing industrial development environment rationality analysis according to the industrial development requirements of the target industrial park to obtain an industrial development environment rationality analysis result;
carrying out industrial development optimization scenario setting according to the development environment policy requirements and the industrial development environment rationality analysis result to obtain a plurality of industrial development optimization scenarios;
combining a planning industry development reference scene with different optimization scene development modes based on an environment prediction model, and performing environment prediction analysis to obtain an environment prediction result;
judging the industrial scale and structural rationality of each industry in the industrial park based on economic development, industrial policies, resource energy and ecological environment conditions, and continuously optimizing the development prospect of unreasonable industries;
and determining an industry target development scenario and an industry development optimization adjustment suggestion based on the industry development optimization scenario setting, the environment prediction result and the development prospect of continuous optimization, wherein the industry development optimization adjustment suggestion comprises a planning park dominant industry and the industry scale, structure and spatial layout thereof.
2. The method of claim 1, wherein said determining the industrial scale and structural rationality of each industry in an industrial park and continuously optimizing the development prospects of unreasonable industries based on industry policies, resource energy and ecological environmental conditions comprises:
and determining a limit value and a weighted value through the evaluation indexes, multiplying the limit value and the weighted value by a corresponding industry output value, accumulating to obtain a composite evaluation value, judging whether the optimization scene is feasible or not based on an industry policy, resource energy and ecological environment conditions, and continuously optimizing the industry development scene if the optimization scene is not feasible.
3. The method of claim 1, wherein the industry development elements include industry development direction, functional orientation, industry structure, spatial layout, industry resource consumption intensity, and pollutant emission coefficient of the target analysis industry park.
4. An environment model-based industrial optimization index system construction system, the system comprising:
the information acquisition module is used for acquiring industrial development elements and development environment policy requirements of the target analysis industrial park;
the industrial development environment rationality analysis module is used for carrying out industrial development environment rationality analysis according to the industrial development requirements of the target industrial park to obtain an industrial development environment rationality analysis result;
the industrial development optimization scenario setting module is used for setting industrial development optimization scenarios according to the development environment policy requirements and the industrial development environment rationality analysis result to obtain a plurality of industrial development optimization scenarios;
the environment prediction analysis module is used for combining the development reference situation of the planning industry with different optimized situation development modes based on the environment prediction model to carry out environment prediction analysis to obtain an environment prediction result;
the scene optimization module is used for judging the industrial scale and structural rationality of each industry in the industrial park based on economic development, industrial policies, resource energy and ecological environment conditions, and continuously optimizing the development prospect of unreasonable industries;
and the optimization and adjustment suggestion module is used for determining an industry target development scenario and an industry development optimization and adjustment suggestion based on the industry development optimization scenario setting, the environment prediction result and the development prospect of continuous optimization, wherein the industry development optimization and adjustment suggestion comprises a planning park dominant industry and the industry scale, structure and spatial layout thereof.
5. The system of claim 4, wherein the context optimization module is specifically configured to:
and determining a limit value and a weighted value through the evaluation indexes, multiplying the limit value and the weighted value by a corresponding industry output value, accumulating to obtain a composite evaluation value, judging whether the optimization scene is feasible or not based on an industry policy, resource energy and ecological environment conditions, and continuously optimizing the industry development scene if the optimization scene is not feasible.
6. The system of claim 4, wherein the industry development elements include industry development direction, functional orientation, industry structure, spatial layout, industry resource consumption intensity, and pollutant emission coefficient of the target analysis industry park.
7. An apparatus, characterized in that the apparatus comprises: the device comprises a data acquisition device, a processor and a memory;
the data acquisition device is used for acquiring data; the memory is to store one or more program instructions; the processor, configured to execute one or more program instructions to perform the method of any of claims 1-3.
8. A computer-readable storage medium having one or more program instructions embodied therein for performing the method of any of claims 1-3.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106355268A (en) * | 2016-08-22 | 2017-01-25 | 中交天津港航勘察设计研究院有限公司 | Optimization method for urban industrial structure based on environmental carrying capacity |
| CN107832906A (en) * | 2017-09-22 | 2018-03-23 | 国网福建省电力有限公司 | The dynamic analysing method influenceed for analyzing policy impact on regional economy and environment |
| CN110889562A (en) * | 2019-12-09 | 2020-03-17 | 杨阳 | Dynamic city model system based on scenario planning |
| CN112198276A (en) * | 2020-08-20 | 2021-01-08 | 北京市环境保护科学研究院 | Station building microenvironment on-line monitoring system |
-
2021
- 2021-03-26 CN CN202110327639.0A patent/CN113128952A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106355268A (en) * | 2016-08-22 | 2017-01-25 | 中交天津港航勘察设计研究院有限公司 | Optimization method for urban industrial structure based on environmental carrying capacity |
| CN107832906A (en) * | 2017-09-22 | 2018-03-23 | 国网福建省电力有限公司 | The dynamic analysing method influenceed for analyzing policy impact on regional economy and environment |
| CN110889562A (en) * | 2019-12-09 | 2020-03-17 | 杨阳 | Dynamic city model system based on scenario planning |
| CN112198276A (en) * | 2020-08-20 | 2021-01-08 | 北京市环境保护科学研究院 | Station building microenvironment on-line monitoring system |
Non-Patent Citations (1)
| Title |
|---|
| 苏莱曼·斯拉木 等: "系统动力学视角下陕西省产业绿色发展路径", 创新科技 * |
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