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Territorial space planning evaluation system

A technology of spatial planning and evaluation system, applied in the field of land space planning and deep learning, can solve problems such as poor reusability, and achieve the effect of improving reusability and solving poor reusability

Inactive Publication Date: 2020-08-07
BEIJING AEROSPACE HONGTU INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide a national land space planning evaluation system to alleviate the technical problem of poor reusability of the existing national land space planning evaluation system

Method used

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Embodiment 1

[0027] According to an embodiment of the present invention, an embodiment of a land space planning evaluation system is provided.

[0028] figure 1 is a schematic diagram of a national land space planning evaluation system according to an embodiment of the present invention, such as figure 1 As shown, the system includes a plurality of subsystems, wherein each of the subsystems includes: a data processing module 10, a training module 20 and an evaluation module 30;

[0029] It should be noted that the multiple subsystems include: ecological protection importance evaluation subsystem, agricultural production suitability evaluation subsystem, urban construction suitability evaluation subsystem, agricultural production carrying scale evaluation subsystem, and urban construction carrying scale evaluation subsystem.

[0030] The ecological protection importance evaluation subsystem is used to evaluate the ecological protection importance of the area to be evaluated, and generate a...

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Abstract

The invention provides a territorial space planning evaluation system, which relates to the technical field of territorial space planning and deep learning. The territorial space planning evaluation system comprises a plurality of subsystems, wherein each subsystem comprises a data processing module, a training module and an evaluation module; each data processing module is used for acquiring historical evaluation index data and a preset evaluation index set of the to-be-evaluated region, and constructing a training set based on the historical evaluation index data and the preset evaluation index set; each training module is used for sending the corresponding training set to a neural network model, so that the neural network model is trained by using the training set to obtain a target neural network model; and each evaluation module is used for inputting the current evaluation index data of the to-be-evaluated region into the target neural network model to obtain the evaluation gradeof the current evaluation index data. Therefore, the technical problem that an existing territorial space planning evaluation system is poor in reusability is solved.

Description

technical field [0001] The invention relates to the technical field of land space planning and deep learning, in particular to a land space planning evaluation system. Background technique [0002] The core point of resource and environment carrying capacity and land space development suitability evaluation is to adopt evaluation methods with different advantages. At present, the quantitative screening methods of indicators such as analytic hierarchy process, factor analysis, correlation analysis and variance analysis are widely used. [0003] The existing "double evaluation" evaluation method of land and space planning is to first select a certain index system, and then, on the basis of obtaining the index grid data of the area to be evaluated, one by one according to the corresponding index data set of each grid point, A specific evaluation is performed on the corresponding grid point. Therefore, with the change of the index system and the uncertainty of data sources, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06K9/62G06N3/04G06N3/08
CPCG06Q10/06393G06Q50/26G06N3/08G06N3/045G06F18/241
Inventor 王宇翔肖明兴田卫方黄宏源
Owner BEIJING AEROSPACE HONGTU INFORMATION TECH
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