CN116307755A - Territorial space planning management and control level early warning system based on GIS - Google Patents
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Abstract
The invention discloses a territorial space planning management and control level early warning system based on GIS, which comprises a territorial space planning optimization module, a territorial space planning detection evaluation module and an early warning management module, wherein the territorial space planning optimization module is used for optimizing the planning conditions of the existing territorial space according to different optimization indexes according to a live-action diagram in the GIS, so as to realize automatic, high-efficiency and high-accuracy territorial space planning optimization operation; the homeland space planning, detecting and evaluating module is used for importing index values of economy, society, land suitability, environment and ecological development cost of a target homeland area. According to the invention, by arranging the homeland space planning optimization module, the planning conditions of the existing homeland space can be optimized according to different optimization indexes and the automatic, high-efficiency and high-accuracy homeland space planning optimization operation is realized.
Description
Technical Field
The invention belongs to the technical field of space planning, and particularly relates to a national and earth space planning management and control level early warning system based on GIS.
Background
The method for affecting future activity space distribution mainly used by public departments in homeland space planning aims at creating a more reasonable territorial organization of land utilization and functional relationship, balancing and protecting environment and developing two requirements so as to achieve the general aim of social and economic development.
The prior territorial space planning management and control level early warning system has some problems: the planning conditions of the homeland space are inconvenient to optimize, and the efficiency and accuracy of the homeland space planning optimization operation are reduced; meanwhile, the planning type of the target homeland area is inconvenient to determine, and the index value is subjected to early warning treatment, so that a GIS-based homeland space planning management and control level early warning system is provided.
Disclosure of Invention
The invention aims to provide a GIS-based territorial space planning management and control hierarchy early warning system so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the territorial space planning management and control level early warning system based on the GIS comprises a territorial space planning optimization module, a territorial space planning detection evaluation module and an early warning management module,
the homeland space planning optimization module is used for optimizing the planning conditions of the existing homeland space according to the live-action diagrams in the GIS and different optimization indexes, so that automatic, high-efficiency and high-accuracy homeland space planning optimization operation is realized;
the homeland space planning detection evaluation module is used for importing index values of economy, society, land suitability, environment and ecological development cost of a target homeland area, analyzing the imported index values, and determining the planning type of the target homeland area according to an analysis result; the homeland space planning detection evaluation module comprises a big data analysis platform, an Internet of things big data storage platform and a cloud computing platform; the big data analysis platform is used for analyzing the transmitted data; the Internet of things big data storage platform is used for storing information of historical cases and storing transmitted data; the cloud computing platform analyzes the transmitted data to obtain the planning type of the target homeland area;
the early warning management module is used for comparing the index change trend with an index threshold data range corresponding to the original data, and realizing early warning processing of index values exceeding the index threshold data range; the early warning management module comprises an index value acquisition unit, a model creation unit, a verification unit, a trend acquisition unit, a chart drawing unit and an early warning unit.
Preferably, the homeland space planning optimization module comprises calculation of a resource environment bearing capacity value, calculation of a construction development suitability grading value of a single optimization area, calculation of land development degree of the optimization area and establishment of an evaluation model of the environment ecological bearing capacity N.
Preferably, the formula for calculating the bearing capacity value of the resource environment is as follows:
wherein D is zi Representing a resource environment bearing capacity value; n represents the total number of resource environment elements; w (w) i The weight of the ith resource environment element; h i Representing the proportion of the bearing capacity value of i resource environment elements to the bearing capacity value of the overall resource environment; x is x i Representing the bearer capability value of the i-th resource context element.
Preferably, the formula for calculating the construction development suitability score value of the single optimization area is as follows:
wherein the method comprises the steps of，Z shi A construction development suitability score value representing a single optimization region; pi represents a cumulative multiplication operation; f (F) j An influence value representing the j-th influence factor favorable for the development of the optimization area land; m represents the total number of influencing factors which are beneficial to the development of the optimized region land; q k Weights representing the kth limiting influence factor, f k A single factor score value representing a kth limiting influence factor; k represents the total number of limiting influencing factors.
Preferably, the formula for calculating the development degree of the optimization area is as follows:
wherein M represents the development degree of the land used for the optimization area; c represents the suitability score value of the current optimizing area land; s represents the area of the current situation optimizing area; z is Z g A construction development suitability score value indicating a g-th suitable development site; g represents the total number of suitable development sites.
Preferably, the evaluation model for establishing the N environmental ecological bearing capacity specifically includes:
N＝(EF S an EF (electric field) 1 )/ef 2
Wherein ef is 2 For environmental ecological footprint, EF 1 To background ecological footprint, EF S Supplying an ecological footprint of the environmental ecological land environment;
the EF S The calculation formula of (2) is as follows:
EFs＝∑ 6 i＝1 (R j m i )+∑ n j＝1 [(I j -E j )R j /P j ]
wherein EFs is an ecological footprint supply of an environmental ecology, m i The data of the area of various biological productive lands can be obtained by investigating environmental resources in an environmental ecological area, I j For the annual importation of the j-th consumption item, the data may be obtained from regional trade records, E j Annual export quantity for j-th consumption item, P j World average capacity for class j consumer goods, R j Equalization factors for the bio-productive land producing consumption item j;
the EF 1 The calculation formula of (2) is as follows:
EF 1 ＝N 1 ef 1 ＝N 1 Σ n i＝1 (C i R i /P i )
in the formula, EF 1 For the ecological footprint of the environmental ecological ground, N 1 For ecologically surviving population, ef 1 Average ecological footprint of environmentally ecologically resident population, i is type of consumer goods, P i World average capacity for i consumer goods, C i Is the average consumption of i kinds of commodities, R i To produce an equalization factor.
Preferably, the homeland space planning detection evaluation module further comprises a communication module, the communication module transmits information with a server through wired communication or wireless communication, and the server receives the analysis result transmitted by the homeland space planning detection evaluation module and stores the analysis result in a networking mode.
Preferably, the service resource strength of the uplink service in the communication module includes the following formula:
the service resource intensity of the downlink service in the communication module comprises the following formula:
wherein: i represents the ith service; r is R 0 Representing the bearing rate of the basic service; (Eb/No) 0 Eb/No required by basic service, namely signal to noise ratio requirement of correct demodulation of basic service; v (V) 0 An activation factor representing a basic service; (Eb/No) i Representing Eb/No required for service i, i.e. service i is correctSignal-to-noise ratio requirements of demodulation; w represents the chip rate; v i Representing the activation factor of service i; r is R i Representing the bit rate of traffic i.
Preferably, the index value obtaining unit calculates an index value corresponding to the index according to the index and the original data associated with the index; the model creation unit is connected with the index value acquisition unit and is used for creating a trend analysis model according to the index value and the non-parameter trend analysis method; the verification unit is connected with the model creation unit and is used for verifying the trend analysis model through a preset verification method; the trend acquisition unit is respectively connected with the model creation unit and the verification unit and is used for acquiring an index change trend according to the trend analysis model passing verification; the chart drawing unit is connected with the trend acquisition unit and is used for drawing the chart of the index change trend in a chart mode; the early warning unit is connected with the trend acquisition unit and is used for early warning according to the index change trend and the index threshold data range corresponding to the index.
Preferably, the creating a trend analysis model according to the index value and the non-parameter trend analysis method specifically includes the following steps: acquiring the index value at a first moment and the index value at a second moment; wherein the index value at the first moment and the index value at the second moment are both the index values at different moments corresponding to the same kind of index;
inputting the index value at a first moment and the index value at a second moment into the non-parameter Theil-Senmedian trend analysis formula shown in the following formula to obtain the change trend of the index value;
fitting the index value and the change trend of the index value to obtain the trend analysis model;
wherein i is used to represent the first time;j is used to represent the second moment; x is X i The index value representing a first time; x is X j The index value for representing the second time; s1 is used for representing a first judgment parameter, when S1 is more than 0, the index value is determined to be in a growing trend, when S1 = 0, the index value is determined to be unchanged, and when S1 is determined to be<And 0, determining that the index value shows a descending trend.
Compared with the prior art, the invention has the beneficial effects that:
(1) According to the invention, by arranging the homeland space planning optimization module, the planning conditions of the existing homeland space can be optimized according to different optimization indexes and the automatic, high-efficiency and high-accuracy homeland space planning optimization operation is realized.
(2) According to the invention, index values of economy, society, land suitability, environment and ecological development cost of the target homeland area can be imported through setting the homeland space planning detection evaluation module, the imported index values are analyzed, and then the planning type of the target homeland area is determined according to the analysis result.
(3) According to the invention, the index change trend can be compared with the index threshold data range corresponding to the original data by arranging the early warning management module, so that early warning processing of the index value exceeding the index threshold data range is realized.
Drawings
FIG. 1 is a block diagram of the structure of the present invention;
FIG. 2 is a block diagram of a territorial space planning, detection and evaluation module according to the present invention;
FIG. 3 is a block diagram of the early warning management module of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-3, the present invention provides a technical solution: territorial space planning management and control level early warning system based on GIS, its characterized in that: comprises a homeland space planning optimization module, a homeland space planning detection evaluation module and an early warning management module,
the homeland space planning optimization module is used for optimizing the planning conditions of the existing homeland space according to the live-action diagrams in the GIS and different optimization indexes, so that automatic, high-efficiency and high-accuracy homeland space planning optimization operation is realized;
the homeland space planning detection evaluation module is used for importing index values of economy, society, land suitability, environment and ecological development cost of a target homeland area, analyzing the imported index values, and determining the planning type of the target homeland area according to an analysis result; the homeland space planning detection evaluation module comprises a big data analysis platform, an Internet of things big data storage platform and a cloud computing platform; the big data analysis platform is used for analyzing the transmitted data; the Internet of things big data storage platform is used for storing information of historical cases and storing transmitted data; the cloud computing platform analyzes the transmitted data to obtain the planning type of the target homeland area;
the early warning management module is used for comparing the index change trend with an index threshold data range corresponding to the original data, and realizing early warning processing of index values exceeding the index threshold data range; the early warning management module comprises an index value acquisition unit, a model creation unit, a verification unit, a trend acquisition unit, a chart drawing unit and an early warning unit.
In this embodiment, preferably, the homeland space planning optimization module includes calculation of a bearing capacity value of a resource environment, calculation of a construction development suitability grading value of a single optimization area, calculation of land development degree of the optimization area, and establishment of an evaluation model of N of an environmental ecological bearing capacity.
In this embodiment, preferably, the formula for calculating the resource environment bearing capacity value is as follows:
wherein D is zi Representing a resource environment bearing capacity value; n represents the total number of resource environment elements; w (w) i The weight of the ith resource environment element; h i Representing the proportion of the bearing capacity value of i resource environment elements to the bearing capacity value of the overall resource environment; x is x i Representing the bearer capability value of the i-th resource context element.
In this embodiment, preferably, the formula for calculating the construction development suitability score value of the single optimization area is as follows:
wherein Z is shi A construction development suitability score value representing a single optimization region; pi represents a cumulative multiplication operation; f (F) j An influence value representing the j-th influence factor favorable for the development of the optimization area land; m represents the total number of influencing factors which are beneficial to the development of the optimized region land; q k Weights representing the kth limiting influence factor, f k A single factor score value representing a kth limiting influence factor; k represents the total number of limiting influencing factors.
In this embodiment, preferably, the formula for calculating the development degree of the optimization area is as follows:
wherein M represents the development degree of the land used for the optimization area; c represents the suitability score value of the current optimizing area land; s represents the area of the current situation optimizing area; z is Z g A construction development suitability score value indicating a g-th suitable development site; g represents the total number of suitable development sites.
In this embodiment, preferably, the evaluation model for establishing the N environmental ecological bearing capacity specifically includes:
N＝(EF S an EF (electric field) 1 )/ef 2
Wherein ef is 2 For environmental ecological footprint, EF 1 To background ecological footprint, EF S Supplying an ecological footprint of the environmental ecological land environment;
the EF S The calculation formula of (2) is as follows:
EFs＝Σ 6 i＝1 (R j m i )+∑ n j＝1 [(I j -E j )R j P j ]
wherein EFs is an ecological footprint supply of an environmental ecology, m i The data of the area of various biological productive lands can be obtained by investigating environmental resources in an environmental ecological area, I j For the annual importation of the j-th consumption item, the data may be obtained from regional trade records, E j Annual export quantity for j-th consumption item, P j World average capacity for class j consumer goods, R j Equalization factors for the bio-productive land producing consumption item j;
the EF 1 The calculation formula of (2) is as follows:
EF 1 ＝N 1 ef 1 ＝N 1 Σ n i＝1 (C i R i /P i )
in the formula, EF 1 For the ecological footprint of the environmental ecological ground, N 1 For ecologically surviving population, ef 1 Average ecological footprint of environmentally ecologically resident population, i is type of consumer goods, P i World average capacity for i consumer goods，C i Is the average consumption of i kinds of commodities, R i To produce an equalization factor.
In this embodiment, preferably, the homeland space planning, detecting and evaluating module further includes a communication module, where the communication module performs information transmission with a server through wired communication or wireless communication, and the server receives the analysis result transmitted by the homeland space planning, detecting and evaluating module, and stores the analysis result in a networking manner.
In this embodiment, preferably, the service resource strength of the uplink service in the communication module includes the following formula:
the service resource intensity of the downlink service in the communication module comprises the following formula:
wherein: i represents the ith service; r is R 0 Representing the bearing rate of the basic service; (Eb/No) 0 Eb/No required by basic service, namely signal to noise ratio requirement of correct demodulation of basic service; v (V) 0 An activation factor representing a basic service; (Eb/No) i The Eb/No needed by the service i is expressed, namely the signal to noise ratio requirement of the correct demodulation of the service i; w represents the chip rate; v i Representing the activation factor of service i; r is R i Representing the bit rate of traffic i.
In this embodiment, preferably, the index value obtaining unit calculates an index value corresponding to the index according to the index and the original data associated with the index; the model creation unit is connected with the index value acquisition unit and is used for creating a trend analysis model according to the index value and the non-parameter trend analysis method; the verification unit is connected with the model creation unit and is used for verifying the trend analysis model through a preset verification method; the trend acquisition unit is respectively connected with the model creation unit and the verification unit and is used for acquiring an index change trend according to the trend analysis model passing verification; the chart drawing unit is connected with the trend acquisition unit and is used for drawing the chart of the index change trend in a chart mode; the early warning unit is connected with the trend acquisition unit and is used for early warning according to the index change trend and the index threshold data range corresponding to the index.
In this embodiment, preferably, the creating a trend analysis model according to the index value and the non-parameter trend analysis method specifically includes the following steps: acquiring the index value at a first moment and the index value at a second moment; wherein the index value at the first moment and the index value at the second moment are both the index values at different moments corresponding to the same kind of index;
inputting the index value at a first moment and the index value at a second moment into the non-parameter Theil-Senmedian trend analysis formula shown in the following formula to obtain the change trend of the index value;
fitting the index value and the change trend of the index value to obtain the trend analysis model;
wherein i is used to represent the first time; j is used to represent the second moment; x is X i The index value representing a first time; x is X j The index value for representing the second time; s1 is used for representing a first judgment parameter, when S1 is more than 0, the index value is determined to be in a growing trend, when S1 = 0, the index value is determined to be unchanged, and when S1 is determined to be<And 0, determining that the index value shows a descending trend.
The principle and the advantages of the invention are that: according to the invention, by arranging the homeland space planning optimization module, the planning conditions of the existing homeland space can be optimized according to different optimization indexes and the automatic, high-efficiency and high-accuracy homeland space planning optimization operation is realized; the index values of economy, society, land suitability, environment and ecological development cost of the target homeland area can be imported through the setting of the homeland space planning detection evaluation module, the imported index values are analyzed, and then the planning type of the target homeland area is determined according to the analysis result; the index change trend can be compared with the index threshold data range corresponding to the original data by the aid of the early warning management module, and early warning processing of index values exceeding the index threshold data range is achieved.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. Territorial space planning management and control level early warning system based on GIS, its characterized in that: comprises a homeland space planning optimization module, a homeland space planning detection evaluation module and an early warning management module,
the homeland space planning optimization module is used for optimizing the planning conditions of the existing homeland space according to the live-action diagrams in the GIS and different optimization indexes, so that automatic, high-efficiency and high-accuracy homeland space planning optimization operation is realized;
the homeland space planning detection evaluation module is used for importing index values of economy, society, land suitability, environment and ecological development cost of a target homeland area, analyzing the imported index values, and determining the planning type of the target homeland area according to an analysis result; the homeland space planning detection evaluation module comprises a big data analysis platform, an Internet of things big data storage platform and a cloud computing platform; the big data analysis platform is used for analyzing the transmitted data; the Internet of things big data storage platform is used for storing information of historical cases and storing transmitted data; the cloud computing platform analyzes the transmitted data to obtain the planning type of the target homeland area;
the early warning management module is used for comparing the index change trend with an index threshold data range corresponding to the original data, and realizing early warning processing of index values exceeding the index threshold data range; the early warning management module comprises an index value acquisition unit, a model creation unit, a verification unit, a trend acquisition unit, a chart drawing unit and an early warning unit.
2. The GIS-based territorial space planning management and control level early warning system according to claim 1, wherein: the homeland space planning optimization module comprises calculation of a resource environment bearing capacity value, calculation of a construction development suitability grading value of a single optimization area, calculation of land development degree of the optimization area and establishment of an evaluation model of the environment ecological bearing capacity N.
3. The GIS-based territorial space planning management and control level early warning system according to claim 2, wherein: the formula for calculating the bearing capacity value of the resource environment is as follows:
wherein D is zi Representing a resource environment bearing capacity value; n represents the total number of resource environment elements; w (w) i The weight of the ith resource environment element; h i Representing the proportion of the bearing capacity value of i resource environment elements to the bearing capacity value of the overall resource environment; x is x i Representing the ith resource contextBearing capacity value of the element.
4. The GIS-based territorial space planning management and control level early warning system of claim 3, wherein: the formula for calculating the construction development suitability score value of the single optimization area is as follows:
wherein Z is shi A construction development suitability score value representing a single optimization region; pi represents a cumulative multiplication operation; f (F) j An influence value representing the j-th influence factor favorable for the development of the optimization area land; m represents the total number of influencing factors which are beneficial to the development of the optimized region land; q k Weights representing the kth limiting influence factor, f k A single factor score value representing a kth limiting influence factor; k represents the total number of limiting influencing factors.
5. The GIS-based territorial space planning management and control level early warning system according to claim 2, wherein: the formula of the calculation of the development degree of the optimization area is as follows:
wherein M represents the development degree of the land used for the optimization area; c represents the suitability score value of the current optimizing area land; s represents the area of the current situation optimizing area; z is Z g A construction development suitability score value indicating a g-th suitable development site; g represents the total number of suitable development sites.
6. The GIS-based territorial space planning management and control level early warning system according to claim 2, wherein: the evaluation model for establishing the N of the environmental ecological bearing capacity specifically comprises the following steps:
N＝(EF S an EF (electric field) 1 )/ef 2
Wherein ef is 2 For environmental ecological footprint, EF 1 To background ecological footprint, EF S Supplying an ecological footprint of the environmental ecological land environment;
the EF S The calculation formula of (2) is as follows:
EFs＝∑ 6 i＝1 (R j m i )+∑ n j＝1 [(I j -E j )R j /P j ]
wherein EFs is an ecological footprint supply of an environmental ecology, m i The data of the area of various biological productive lands can be obtained by investigating environmental resources in an environmental ecological area, I j For the annual importation of the j-th consumption item, the data may be obtained from regional trade records, E j Annual export quantity for j-th consumption item, P j World average capacity for class j consumer goods, R j Equalization factors for the bio-productive land producing consumption item j;
the EF 1 The calculation formula of (2) is as follows:
EF 1 ＝N 1 ef 1 ＝N 1 ∑ n i＝1 (C i R i /P i )
in the formula, EF 1 For the ecological footprint of the environmental ecological ground, N 1 For ecologically surviving population, ef 1 Average ecological footprint of environmentally ecologically resident population, i is type of consumer goods, P i World average capacity for i consumer goods, C i Is the average consumption of i kinds of commodities, R i To produce an equalization factor.
7. The GIS-based territorial space planning management and control level early warning system according to claim 1, wherein: the homeland space planning detection evaluation module further comprises a communication module, the communication module transmits information with a server through wired communication or wireless communication, and the server receives the analysis result transmitted by the homeland space planning detection evaluation module and stores the analysis result in a networking mode.
8. The GIS-based territorial space planning management and control level early warning system of claim 7, wherein: the service resource intensity of the uplink service in the communication module comprises the following formula:
the service resource intensity of the downlink service in the communication module comprises the following formula:
wherein: i represents the ith service; r is R 0 Representing the bearing rate of the basic service; (Eb/No) 0 Eb/No required by basic service, namely signal to noise ratio requirement of correct demodulation of basic service; v (V) 0 An activation factor representing a basic service; (Eb/No) i The Eb/No needed by the service i is expressed, namely the signal to noise ratio requirement of the correct demodulation of the service i; w represents the chip rate; v i Representing the activation factor of service i; r is R i Representing the bit rate of traffic i.
9. The GIS-based territorial space planning management and control level early warning system according to claim 1, wherein: the index value obtaining unit calculates an index value corresponding to the index according to the index and the original data associated with the index; the model creation unit is connected with the index value acquisition unit and is used for creating a trend analysis model according to the index value and the non-parameter trend analysis method; the verification unit is connected with the model creation unit and is used for verifying the trend analysis model through a preset verification method; the trend acquisition unit is respectively connected with the model creation unit and the verification unit and is used for acquiring an index change trend according to the trend analysis model passing verification; the chart drawing unit is connected with the trend acquisition unit and is used for drawing the chart of the index change trend in a chart mode; the early warning unit is connected with the trend acquisition unit and is used for early warning according to the index change trend and the index threshold data range corresponding to the index.
10. The GIS-based territorial space planning management and control level early warning system of claim 9, wherein: the method for creating a trend analysis model according to the index value and the non-parameter trend analysis method specifically comprises the following steps: acquiring the index value at a first moment and the index value at a second moment; wherein the index value at the first moment and the index value at the second moment are both the index values at different moments corresponding to the same kind of index;
inputting the index value at a first moment and the index value at a second moment into the non-parameter Theil-Senmedian trend analysis formula shown in the following formula to obtain the change trend of the index value;
fitting the index value and the change trend of the index value to obtain the trend analysis model;
wherein i is used to represent the first time; j is used to represent the second moment; x is X i The index value representing a first time; x is X j The index value for representing the second time; s1 is used for representing a first judgment parameter, when S1 is more than 0, the index value is determined to be in a growing trend, when S1 = 0, the index value is determined to be unchanged, and when S1 is determined to be<And 0, determining that the index value shows a descending trend.
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