Urban green land data dynamic acquisition system and analysis method

Abstract

The invention discloses an urban green land data dynamic acquisition system and analysis method, and relates to the technical field of data analysis. Remote sensing image data acquisition and infrared data monitoring are performed on a target urban green land through a remote sensing unmanned aerial vehicle; monitoring real-time environment data of the green land through a sensing device; constructing an urban green land simulation model, analyzing the real-time coverage condition of each green land of the city, and performing hierarchical division on each green land area of the city; the real-time environment data of each green land is called to carry out vegetation cycle growth environment influence index evaluation and construct a corresponding cycle growth environment influence index development curve, cycle optimal growth environment index deviation degree analysis is carried out on each green land, and growth environment data regulation and control judgment is carried out on each green land; carrying out vegetation environment hazard influence degree analysis on the greenbelt needing to be regulated and controlled; and exporting an urban green land simulation model, performing corresponding labeling on the environment analysis data of each green land, performing dominant labeling on the green land with regulation and control requirements, and performing regulation and control requirement output according to priorities.

Description

Technical Field

[0001] The present invention relates to the field of data analysis, and in particular to a system and method for dynamically collecting urban green space data. Background Art

[0002] The urban green space data dynamic collection system is a monitoring system that integrates a variety of modern technologies. It uses drones, radars and sensor equipment to accurately collect and analyze various data of urban green spaces in real time, thus achieving accurate monitoring and efficient management of green space resources. Nowadays, urbanization is developing rapidly, and the construction of ecological cities is also advancing at an increasingly rapid pace. The demand for urban greening is becoming more and more important, so the greening level of most cities is gradually increasing; however, with the expansion of urban greening area, the traditional artificial greening supervision model cannot achieve comprehensive and real-time supervision, which leads to abnormal vegetation growth in urban green spaces and cannot be discovered and artificially regulated in time; therefore, there is a need for a means to collect, monitor and analyze urban green space data around the clock. Summary of the invention

[0003] The purpose of the present invention is to provide a system and method for dynamically collecting urban green space data to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solutions: A method for dynamic analysis of urban green space data, the method comprising the following steps: S100, collect remote sensing image data of the target urban green space through remote sensing drones, and use airborne infrared sensors to monitor infrared data of urban green space; monitor the real-time environmental data of urban green space by installing environmental monitoring sensor devices; S200, importing the collected urban green space remote sensing image data into the urban simulation model to construct the urban green space simulation model; analyzing the real-time coverage of each urban green space by analyzing the urban green space infrared monitoring data; and dividing each urban green space area into levels based on the analysis data; S300, evaluating and analyzing the vegetation periodic growth environment impact index of each green space by retrieving the real-time environmental data corresponding to each green space; constructing a corresponding periodic growth environment impact index development curve based on the analysis data, analyzing the deviation degree of the periodic optimal growth environment index of each green space based on the curve, and making a growth environment data regulation judgment for each green space; analyzing the degree of vegetation environmental hazard impact on the green space that needs to be regulated based on the judgment result, and allocating regulation priorities to the green space that needs to be regulated based on the analysis data; The evaluation and analysis of the vegetation periodic growth environmental impact index of the green space is carried out by comprehensively calculating and analyzing the various types of environmental data of the corresponding green space vegetation in combination with the corresponding impact coefficient and the artificial weight distribution data; the analysis of the deviation degree of the optimal periodic growth environmental index of the green space is based on the development curve of the corresponding green space periodic growth environmental impact index, determining the historical optimal growth environmental index of the green space vegetation of the corresponding period, and determining the deviation data of the real-time growth environmental impact index of the green space vegetation of the current period by benchmarking, and analyzing the comprehensive deviation degree of the growth environmental impact index of the real-time period of the green space vegetation; the analysis of the vegetation environmental hazard impact degree is based on the abnormal regulation judgment of the corresponding green space, and a comprehensive analysis of the environmental hazard impact of the abnormal green space is carried out in combination with the corresponding green space level and the abnormal difference deviation degree; S400, by exporting the urban green space simulation model and marking the environmental analysis data of each green space accordingly, the green space with regulation needs is explicitly marked, and the regulation needs are output according to the priority.

[0005] The S100 collects remote sensing image data of the target urban green space through a remote sensing drone, and uses an airborne infrared sensor to monitor infrared data of the urban green space; the specific steps of monitoring the real-time environmental data of the urban green space through the device environmental monitoring sensor device are as follows: S101. Use remote sensing drones to conduct field surveys of the green areas of the target cities, and use airborne remote sensing image acquisition equipment to collect images of the entire green area, and annotate the collected images with location data; simultaneously use airborne infrared sensing equipment to collect infrared band data of the green area; S102. By accessing the urban green space environmental monitoring network, real-time data is retrieved from the environmental monitoring equipment in each green space area in the network, and the retrieved data is labeled with corresponding location data; the environmental data includes temperature data, light data, humidity data, wind speed data, etc.

[0006] The S200 imports the collected urban green space remote sensing image data into the urban simulation model to construct the urban green space simulation model; analyzes the real-time coverage of each urban green space by analyzing the urban green space infrared monitoring data; and divides each urban green space area into levels based on the analysis data. The specific steps are as follows: S201, by importing the collected remote sensing image data of urban green space areas into the urban simulation model, the corresponding urban locations are simulated in the model in a mapping manner to construct an urban green space simulation model; based on the infrared band collected data of each green space area in the city, the corresponding real-time vegetation coverage degree of each green space area is analyzed; the infrared band data in each green space area is analyzed to obtain the vegetation coverage index of the corresponding green space area, and the calculation formula is: ; Among them, DI(n) is the vegetation coverage index of the green area corresponding to number n; IR(n) is the near-infrared band reflectance of the green area corresponding to number n; Re(n) is the red light band reflectance of the green area corresponding to number n; S202. Based on the vegetation coverage index analysis data corresponding to each green area, a normalized analysis is performed on each green area with reference to the vegetation coverage rate. The calculation formula is: ; Among them, CO(n) is the normalized vegetation coverage rate of the green area corresponding to number n; DI(n) w is the bare soil reference vegetation coverage index of the green area corresponding to number n; DI(n) v The reference vegetation coverage index for the complete coverage of the green area corresponding to number n; Based on the normalized vegetation coverage analysis data of each green area, the normalized vegetation coverage of each green area is marked in the urban green space simulation model; by constructing a hierarchical division index, the hierarchical interval of the normalized vegetation coverage of each green area is divided into corresponding green area hierarchies.

[0007] The S300 evaluates and analyzes the vegetation periodic growth environment impact index of each green space by retrieving the real-time environmental data corresponding to each green space; constructs a corresponding periodic growth environment impact index development curve based on the analysis data, analyzes the deviation degree of the periodic optimal growth environment index of each green space based on the curve, and makes a growth environment data regulation judgment for each green space; analyzes the degree of vegetation environmental hazard impact on the green space that needs to be regulated based on the judgment result, and allocates the regulation priority of the green space that needs to be regulated based on the analysis data. The specific steps are as follows: S301, by retrieving the real-time environmental data corresponding to each green area, setting the monitoring period to construct the periodic environmental data set corresponding to each green area; evaluating and analyzing the growth environment impact index of the corresponding green area at each time point in the periodic environmental data set of each green area, and the calculation formula is: ; Among them, GE(n,t) is the growth environment impact index at time point t in the corresponding period environmental data set of the green area numbered n; m is the number of collected environmental data types; W m is the allocation weight of the environmental data of type number m; α(m) is the vegetation growth influence coefficient of the environmental data of type number m; E m is the real-time value of the environmental data of the corresponding type number m; Based on the growth environment impact index analysis data at each time point in the periodic environmental data set of each green area, the corresponding periodic growth environment impact index development curve is constructed by curve fitting; the optimal vegetation growth environment data of each green area in the current period corresponding to the database is retrieved and the corresponding growth environment impact index is obtained; the corresponding growth environment impact index is the optimal growth environment impact index of the current period, and it is obtained by evaluating and calculating the growth environment impact index of the optimal growth environment data; on the corresponding periodic growth environment impact index development curve of each green area, the time curve points that deviate from the optimal growth environment impact index of the current period are marked, and the deviation degree of the periodic growth environment index of each green area is analyzed by coordinating the marked curve points, and the calculation formula is: ; Wherein, Gf(n) is the deviation degree of the periodic growth environment index of the green area with number n; t(g) is the time point marked on the periodic growth environment impact index development curve of the green area with number n; q[t(g)] is the overall time length of the periodic growth environment impact index development curve of the green area with number n; T is the period length; GE[n,t(g)] is the curve value corresponding to the curve time point marked on the periodic growth environment impact index development curve of the green area with number n; GE(bst) is the periodic optimal growth environment impact index of the green area with number n; GE(n,t) max andGE(n,t) min They are the maximum and minimum values ​​on the development curve of the periodic growth environment impact index of the green area with number n; S302, based on the deviation degree analysis data of the periodic growth environment index of each green area, the comparison parameter Gf(X) is introduced by calling the historical data of the database to compare and judge the deviation degree of the periodic growth environment index of each green area; if Gf(n)>Gf(X), it is judged that the vegetation growth environment of the green area corresponding to the current cycle is abnormal, and artificial environmental data is regulated; if Gf(n)≤Gf(X), it is judged that the vegetation growth environment of the green area corresponding to the current cycle is normal; The green space areas with abnormal environment are numbered and a green space regulation set is constructed in a coordinated manner. The degree of vegetation environmental hazard impact on each green space area in the set is analyzed. The calculation formula is: ; Where Dh(i) is the degree of influence of vegetation environmental hazards in the green area numbered i in the corresponding green area regulation set; Y(i) is the division level of the green area numbered i in the corresponding green area regulation set; Gf(i) is the degree of deviation of the periodic growth environment index of the green area numbered i in the corresponding green area regulation set; γ is the influence parameter of abnormal environmental vegetation environmental hazards; S(i) is the area of ​​the green area numbered i in the corresponding green area regulation set; Based on the degree of vegetation environmental hazard impact of each green space area in the green space regulation set, they are sorted in descending order from large to small, and the regulation priority is allocated to each green space area based on the sorting result.

[0008] The specific steps of S400 are as follows: by exporting the urban green space simulation model and marking the environmental analysis data of each green space accordingly, explicitly marking the green space with regulation demand, and outputting the regulation demand according to the priority: S401, exporting the urban green space simulation model at the monitoring end through the simulation system, and marking the environmental analysis data of each green space in the green space simulation model accordingly; S402. Output the green space regulation set with regulation demand, and output the regulation demand according to the priority.

[0009] A dynamic urban green space data collection system, the system comprising a multi-dimensional data acquisition module, a green space model simulation module, a green space environment data comprehensive evaluation module and a control data output module; The multi-dimensional data acquisition module collects remote sensing image data of the target urban green space through a remote sensing drone, and uses an airborne infrared sensor to monitor the infrared data of the urban green space; monitors the real-time environmental data of the urban green space through an environmental monitoring sensor device; the green space model simulation module imports the collected urban green space remote sensing image data into the urban simulation model to construct an urban green space simulation model; analyzes the real-time coverage of each urban green space by analyzing the infrared monitoring data of the urban green space; divides the urban green space areas into levels based on the analysis data; the green space environmental data comprehensive evaluation module retrieves the real-time environmental data of each green space The method comprises the following steps: evaluating and analyzing the vegetation periodic growth environment impact index of each green space based on the environmental data; constructing a corresponding periodic growth environment impact index development curve based on the analysis data, analyzing the deviation degree of the periodic optimal growth environment index of each green space based on the curve, and making a growth environment data regulation judgment for each green space; analyzing the degree of vegetation environmental hazard impact on the green space that needs to be regulated based on the judgment result, and allocating regulation priorities for the green space that needs to be regulated based on the analysis data; the regulation data output module explicitly marks the green space with regulation needs by exporting the urban green space simulation model and correspondingly marking the environmental analysis data of each green space, and outputting the regulation needs according to the priority.

[0010] The multi-dimensional data acquisition module includes a green space remote sensing data acquisition unit and a green space environment data acquisition unit; The green space remote sensing data acquisition unit uses a remote sensing drone to conduct a field survey of the target city green space area, and uses an airborne remote sensing image acquisition device to collect images of the entire green space area, and annotates the collected images with location data; and simultaneously uses an airborne infrared sensing device to collect infrared band data of the green space area; The green space environment data collection unit accesses the urban green space environment monitoring network, retrieves real-time data from environmental monitoring devices in each green space area in the network, and annotates the retrieved data with corresponding location data.

[0011] The green space model simulation module includes a green space model simulation unit and a green space level division unit; The green space model simulation unit constructs an urban green space simulation model by importing the collected remote sensing image data of the urban green space area into the urban simulation model, and simulating the corresponding green space model of the corresponding urban location in the model in a mapping manner; based on the infrared band collected data of each green space area in the city, the corresponding real-time vegetation coverage degree of each green space area is analyzed; the infrared band data in each green space area is analyzed to obtain the vegetation coverage index of the corresponding green space area; The green space hierarchical division unit performs normalized analysis on each green space area with reference to the vegetation coverage rate based on the vegetation coverage index analysis data corresponding to each green space area; based on the normalized vegetation coverage rate analysis data of each green space area, the normalized vegetation coverage rate of each green space area is marked in the urban green space simulation model; and by constructing a hierarchical division index, the hierarchical division of the green space area corresponding to the hierarchical interval of the normalized vegetation coverage rate of each green space area is performed.

[0012] The green space environment data comprehensive evaluation module includes a green space environment data comprehensive evaluation unit and a green space abnormal regulation and analysis unit; The green space environment data comprehensive evaluation unit retrieves the on-site real-time environment data corresponding to each green space area, sets the monitoring period and constructs the periodic environment data set corresponding to each green space area; performs growth environment impact index evaluation and analysis on the corresponding green space area at each time point in the periodic environment data set of each green space area; constructs the corresponding periodic growth environment impact index development curve through curve fitting based on the growth environment impact index analysis data at each time point in the periodic environment data set of each green space area; retrieves the vegetation optimal growth environment data of each green space area in the current period from the database and obtains the corresponding growth environment impact index; marks the time curve points that deviate from the optimal growth environment impact index of the current period on the corresponding periodic growth environment impact index development curve of each green space area, and coordinates the marked curve points to analyze the degree of deviation of the periodic growth environment index of each green space; The green space abnormal regulation and analysis unit is based on the periodic growth environment index deviation degree analysis data of each green space area, introduces the comparison parameter Gf(X) by retrieving the historical data of the database, and compares and judges the degree of deviation of the periodic growth environment index of each green space area; numbers the green space areas with abnormal environment and comprehensively constructs a green space regulation set, and analyzes the degree of vegetation environmental hazard impact on each green space area in the set; sorts the green space areas in the green space regulation set in descending order from large to small based on the degree of vegetation environmental hazard impact, and allocates regulation priority to each green space area based on the sorting result.

[0013] The control data output module includes a green space model export unit and a control demand feedback unit; The green space model exporting unit exports the urban green space simulation model at the monitoring end through the simulation system, and marks the environmental analysis data of each green space in the green space simulation model accordingly; The regulation demand feedback unit outputs the green space regulation set for which regulation demand exists, and outputs the regulation demand according to the priority.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention realizes the acquisition of distribution data and real-time environmental data of urban green spaces by combining a remote sensing UAV with a remote sensing image acquisition device and associating a green space field environment acquisition sensor device; constructs a simulation model based on the distribution of urban green spaces, and realizes the hierarchical division of urban green spaces by analyzing the vegetation coverage degree of each green space; performs a comprehensive vegetation growth impact index analysis on the environmental data of each green space, and performs a deviation degree analysis of the environmental data of the current period through a fitting curve, and judges abnormal green spaces based on the analysis data; performs an abnormal environmental vegetation hazard degree analysis based on the abnormal green spaces, and allocates artificial control priorities to each abnormal green space based on the analysis data; the present invention can perform an overall planning analysis on urban green spaces, and perform environmental assessment, abnormality judgment and control planning on each green space through a small-scale period, thereby realizing full-cycle autonomous urban green space data monitoring, and greatly improving the accuracy and efficiency of intelligent monitoring of urban green spaces. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The present invention is a structural schematic diagram of a system for dynamically collecting urban green space data. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example: Figure 1 As shown, the present invention provides a technical solution: A method for dynamic analysis of urban green space data, the method comprising the following steps: S100, collect remote sensing image data of the target urban green space through remote sensing drones, and use airborne infrared sensors to monitor infrared data of the urban green space; monitor the real-time environmental data of the urban green space through the device environmental monitoring sensor device; S200, importing the collected urban green space remote sensing image data into the urban simulation model to construct the urban green space simulation model; analyzing the real-time coverage of each urban green space by analyzing the urban green space infrared monitoring data; and dividing each urban green space area into levels based on the analysis data; S300, evaluating and analyzing the vegetation periodic growth environment impact index of each green space by retrieving the real-time environmental data corresponding to each green space; constructing a corresponding periodic growth environment impact index development curve based on the analysis data, analyzing the deviation degree of the periodic optimal growth environment index of each green space based on the curve, and making a growth environment data regulation judgment for each green space; analyzing the degree of vegetation environmental hazard impact on the green space that needs to be regulated based on the judgment result, and allocating regulation priorities to the green space that needs to be regulated based on the analysis data; The evaluation and analysis of the vegetation periodic growth environmental impact index of the green space is carried out by comprehensively calculating and analyzing the various types of environmental data of the corresponding green space vegetation in combination with the corresponding impact coefficient and the artificial weight distribution data; the analysis of the deviation degree of the optimal periodic growth environmental index of the green space is based on the development curve of the corresponding green space periodic growth environmental impact index, determining the historical optimal growth environmental index of the green space vegetation of the corresponding period, and determining the deviation data of the real-time growth environmental impact index of the green space vegetation of the current period by benchmarking, and analyzing the comprehensive deviation degree of the growth environmental impact index of the real-time period of the green space vegetation; the analysis of the vegetation environmental hazard impact degree is based on the abnormal regulation judgment of the corresponding green space, and a comprehensive analysis of the environmental hazard impact of the abnormal green space is carried out in combination with the corresponding green space level and the abnormal difference deviation degree; S400, by exporting the urban green space simulation model and marking the environmental analysis data of each green space accordingly, the green space with regulation needs is explicitly marked, and the regulation needs are output according to the priority.

[0018] The S100 collects remote sensing image data of the target urban green space through a remote sensing drone, and uses an airborne infrared sensor to monitor infrared data of the urban green space; the specific steps of monitoring the real-time environmental data of the urban green space through the device environmental monitoring sensor device are as follows: S101. Use remote sensing drones to conduct field surveys of the green areas of the target cities, and use airborne remote sensing image acquisition equipment to collect images of the entire green area, and annotate the collected images with location data; simultaneously use airborne infrared sensing equipment to collect infrared band data of the green area; S102. Accessing the urban green space environment monitoring network, retrieve real-time data from the environmental monitoring equipment in each green space area in the network, and annotate the retrieved data with corresponding location data.

[0019] The S200 imports the collected urban green space remote sensing image data into the urban simulation model to construct the urban green space simulation model; analyzes the real-time coverage of each urban green space by analyzing the urban green space infrared monitoring data; and divides each urban green space area into levels based on the analysis data. The specific steps are as follows: S201, by importing the collected remote sensing image data of urban green space areas into the urban simulation model, the corresponding urban locations are simulated in the model in a mapping manner to construct an urban green space simulation model; based on the infrared band collected data of each green space area in the city, the corresponding real-time vegetation coverage degree of each green space area is analyzed; the infrared band data in each green space area is analyzed to obtain the vegetation coverage index of the corresponding green space area, and the calculation formula is: ; Among them, DI(n) is the vegetation coverage index of the green area corresponding to number n; IR(n) is the near-infrared band reflectance of the green area corresponding to number n; Re(n) is the red light band reflectance of the green area corresponding to number n; S202. Based on the vegetation coverage index analysis data corresponding to each green area, a normalized analysis is performed on each green area with reference to the vegetation coverage rate. The calculation formula is: ; Among them, CO(n) is the normalized vegetation coverage rate of the green area corresponding to number n; DI(n) w is the bare soil reference vegetation coverage index of the green area corresponding to number n; DI(n) v The reference vegetation coverage index for the complete coverage of the green area corresponding to number n; Based on the normalized vegetation coverage analysis data of each green area, the normalized vegetation coverage of each green area is marked in the urban green space simulation model; by constructing a hierarchical division index, the hierarchical interval of the normalized vegetation coverage of each green area is divided into corresponding green area hierarchies.

[0020] The S300 evaluates and analyzes the vegetation periodic growth environment impact index of each green space by retrieving the real-time environmental data corresponding to each green space; constructs a corresponding periodic growth environment impact index development curve based on the analysis data, analyzes the deviation degree of the periodic optimal growth environment index of each green space based on the curve, and makes a growth environment data regulation judgment for each green space; analyzes the degree of vegetation environmental hazard impact on the green space that needs to be regulated based on the judgment result, and allocates the regulation priority of the green space that needs to be regulated based on the analysis data. The specific steps are as follows: S301, by retrieving the real-time environmental data corresponding to each green area, setting the monitoring period to construct the periodic environmental data set corresponding to each green area; evaluating and analyzing the growth environment impact index of the corresponding green area at each time point in the periodic environmental data set of each green area, and the calculation formula is: ; Among them, GE(n,t) is the growth environment impact index at time point t in the corresponding period environmental data set of the green area numbered n; m is the number of collected environmental data types; W m is the allocation weight of the environmental data of type number m; α(m) is the vegetation growth influence coefficient of the environmental data of type number m; E m is the real-time value of the environmental data of the corresponding type number m; Based on the growth environment impact index analysis data at each time point in the periodic environmental data set of each green area, the corresponding periodic growth environment impact index development curve is constructed by curve fitting; the optimal vegetation growth environment data of each green area in the current period corresponding to the database is retrieved and the corresponding growth environment impact index is obtained; on the corresponding periodic growth environment impact index development curve of each green area, the time curve points that deviate from the optimal growth environment impact index of the current period are marked, and the deviation degree of the periodic growth environment index of each green area is analyzed by coordinating the marked curve points. The calculation formula is: ; Wherein, Gf(n) is the deviation degree of the periodic growth environment index of the green area with number n; t(g) is the time point marked on the periodic growth environment impact index development curve of the green area with number n; q[t(g)] is the overall time length of the periodic growth environment impact index development curve of the green area with number n; T is the period length; GE[n,t(g)] is the curve value corresponding to the curve time point marked on the periodic growth environment impact index development curve of the green area with number n; GE(bst) is the periodic optimal growth environment impact index of the green area with number n; GE(n,t) max andGE(n,t) minThey are the maximum and minimum values ​​on the development curve of the periodic growth environment impact index of the green area with number n; S302, based on the deviation degree analysis data of the periodic growth environment index of each green area, the comparison parameter Gf(X) is introduced by calling the historical data of the database to compare and judge the deviation degree of the periodic growth environment index of each green area; if Gf(n)>Gf(X), it is judged that the vegetation growth environment of the green area corresponding to the current cycle is abnormal, and artificial environmental data is regulated; if Gf(n)≤Gf(X), it is judged that the vegetation growth environment of the green area corresponding to the current cycle is normal; The green space areas with abnormal environment are numbered and a green space regulation set is constructed in a coordinated manner. The degree of vegetation environmental hazard impact on each green space area in the set is analyzed. The calculation formula is: ; Where Dh(i) is the degree of influence of vegetation environmental hazards in the green area numbered i in the corresponding green area regulation set; Y(i) is the division level of the green area numbered i in the corresponding green area regulation set; Gf(i) is the degree of deviation of the periodic growth environment index of the green area numbered i in the corresponding green area regulation set; γ is the influence parameter of abnormal environmental vegetation environmental hazards; S(i) is the area of ​​the green area numbered i in the corresponding green area regulation set; Based on the degree of vegetation environmental hazard impact of each green space area in the green space regulation set, they are sorted in descending order from large to small, and the regulation priority is allocated to each green space area based on the sorting result.

[0021] The specific steps of S400 are as follows: by exporting the urban green space simulation model and marking the environmental analysis data of each green space accordingly, explicitly marking the green space with regulation demand, and outputting the regulation demand according to the priority: S401, exporting the urban green space simulation model at the monitoring end through the simulation system, and marking the environmental analysis data of each green space in the green space simulation model accordingly; S402. Output the green space regulation set with regulation demand, and output the regulation demand according to the priority.

[0022] A dynamic urban green space data collection system, the system comprising a multi-dimensional data acquisition module, a green space model simulation module, a green space environment data comprehensive evaluation module and a control data output module; The multi-dimensional data acquisition module collects remote sensing image data of the target urban green space through a remote sensing drone, and uses an airborne infrared sensor to monitor the infrared data of the urban green space; monitors the real-time environmental data of the urban green space through an environmental monitoring sensor device; the green space model simulation module imports the collected urban green space remote sensing image data into the urban simulation model to construct an urban green space simulation model; analyzes the real-time coverage of each urban green space by analyzing the infrared monitoring data of the urban green space; divides the urban green space areas into levels based on the analysis data; the green space environmental data comprehensive evaluation module retrieves the real-time environmental data of each green space The method comprises the following steps: evaluating and analyzing the vegetation periodic growth environment impact index of each green space based on the environmental data; constructing a corresponding periodic growth environment impact index development curve based on the analysis data, analyzing the deviation degree of the periodic optimal growth environment index of each green space based on the curve, and making a growth environment data regulation judgment for each green space; analyzing the degree of vegetation environmental hazard impact on the green space that needs to be regulated based on the judgment result, and allocating regulation priorities for the green space that needs to be regulated based on the analysis data; the regulation data output module explicitly marks the green space with regulation needs by exporting the urban green space simulation model and correspondingly marking the environmental analysis data of each green space, and outputting the regulation needs according to the priority.

[0023] The multi-dimensional data acquisition module includes a green space remote sensing data acquisition unit and a green space environment data acquisition unit; The green space remote sensing data acquisition unit uses a remote sensing drone to conduct a field survey of the target city green space area, and uses an airborne remote sensing image acquisition device to collect images of the entire green space area, and annotates the collected images with location data; and simultaneously uses an airborne infrared sensing device to collect infrared band data of the green space area; The green space environment data collection unit accesses the urban green space environment monitoring network, retrieves real-time data from environmental monitoring devices in each green space area in the network, and annotates the retrieved data with corresponding location data.

[0024] The green space model simulation module includes a green space model simulation unit and a green space level division unit; The green space model simulation unit constructs an urban green space simulation model by importing the collected remote sensing image data of the urban green space area into the urban simulation model, and simulating the corresponding green space model of the corresponding urban location in the model in a mapping manner; based on the infrared band collected data of each green space area in the city, the corresponding real-time vegetation coverage degree of each green space area is analyzed; the infrared band data in each green space area is analyzed to obtain the vegetation coverage index of the corresponding green space area; The green space hierarchical division unit performs normalized analysis on each green space area with reference to the vegetation coverage rate based on the vegetation coverage index analysis data corresponding to each green space area; based on the normalized vegetation coverage rate analysis data of each green space area, the normalized vegetation coverage rate of each green space area is marked in the urban green space simulation model; and by constructing a hierarchical division index, the hierarchical division of the green space area corresponding to the hierarchical interval of the normalized vegetation coverage rate of each green space area is performed.

[0025] The green space environment data comprehensive evaluation module includes a green space environment data comprehensive evaluation unit and a green space abnormal regulation and analysis unit; The green space environment data comprehensive evaluation unit retrieves the on-site real-time environment data corresponding to each green space area, sets the monitoring period and constructs the periodic environment data set corresponding to each green space area; performs growth environment impact index evaluation and analysis on the corresponding green space area at each time point in the periodic environment data set of each green space area; constructs the corresponding periodic growth environment impact index development curve through curve fitting based on the growth environment impact index analysis data at each time point in the periodic environment data set of each green space area; retrieves the vegetation optimal growth environment data of each green space area in the current period from the database and obtains the corresponding growth environment impact index; marks the time curve points that deviate from the optimal growth environment impact index of the current period on the corresponding periodic growth environment impact index development curve of each green space area, and coordinates the marked curve points to analyze the degree of deviation of the periodic growth environment index of each green space; The green space abnormal regulation and analysis unit is based on the periodic growth environment index deviation degree analysis data of each green space area, introduces the comparison parameter Gf(X) by retrieving the historical data of the database, and compares and judges the degree of deviation of the periodic growth environment index of each green space area; numbers the green space areas with abnormal environment and comprehensively constructs a green space regulation set, and analyzes the degree of vegetation environmental hazard impact on each green space area in the set; sorts the green space areas in the green space regulation set in descending order from large to small based on the degree of vegetation environmental hazard impact, and allocates regulation priority to each green space area based on the sorting result.

[0026] The control data output module includes a green space model export unit and a control demand feedback unit; The green space model exporting unit exports the urban green space simulation model at the monitoring end through the simulation system, and marks the environmental analysis data of each green space in the green space simulation model accordingly; The regulation demand feedback unit outputs the green space regulation set with regulation demand, and outputs the regulation demand according to the priority; In the examples: At present, a certain urban green space supervision department adopts a kind of urban green space data dynamic collection system of the present invention to collect and detect data of urban green space; a remote sensing drone is used to conduct on-site survey of the target urban green space area, and an airborne remote sensing image acquisition device is used to collect images of the entire area of ​​the green space area, and the collected images are annotated with location data; an airborne infrared sensing device is used to collect infrared band data of the green space area simultaneously; by accessing the urban green space environment monitoring network, real-time data is retrieved from the environmental monitoring equipment of each green space area in the network, and the retrieved data is annotated with corresponding location data; The urban green space simulation model is constructed by importing the collected remote sensing image data of urban green space areas into the urban simulation model, and simulating the corresponding green space models of the corresponding urban locations in the model in a mapping manner; based on the infrared band data collected from each green space area in the city, the corresponding real-time vegetation coverage degree of each green space area is analyzed; the infrared band data in each green space area is analyzed to obtain the vegetation coverage index of the corresponding green space area, and the calculation formula is: ; Based on the vegetation coverage index analysis data corresponding to each green area, a normalized analysis was performed on each green area with reference to the vegetation coverage rate. The calculation formula is: ; Based on the normalized vegetation coverage analysis data of each green area, the normalized vegetation coverage of each green area is marked in the urban green area simulation model; by constructing a hierarchical division index, the hierarchical interval of the normalized vegetation coverage of each green area is divided into corresponding green areas; By retrieving the real-time environmental data of each green area, setting the monitoring period, and constructing the periodic environmental data set corresponding to each green area, the growth environment impact index of the corresponding green area is evaluated and analyzed at each time point in the periodic environmental data set of each green area. The calculation formula is: ; Based on the growth environment impact index analysis data at each time point in the periodic environmental data set of each green area, the corresponding periodic growth environment impact index development curve is constructed by curve fitting; the optimal vegetation growth environment data of each green area in the current period corresponding to the database is retrieved and the corresponding growth environment impact index is obtained; on the corresponding periodic growth environment impact index development curve of each green area, the time curve points that deviate from the optimal growth environment impact index of the current period are marked, and the deviation degree of the periodic growth environment index of each green area is analyzed by coordinating the marked curve points. The calculation formula is: ; Based on the deviation degree analysis data of the periodic growth environment index of each green area, the comparison parameter Gf(X) is introduced by calling the historical data of the database to compare and judge the deviation degree of the periodic growth environment index of each green area; if Gf(n)>Gf(X), it is judged that the vegetation growth environment of the green area corresponding to the current cycle is abnormal, and artificial environmental data is regulated; if Gf(n)≤Gf(X), it is judged that the vegetation growth environment of the green area corresponding to the current cycle is in a normal state; the green areas with abnormal environment are numbered and a green area regulation set is constructed in a coordinated manner, and the degree of vegetation environmental hazard impact on each green area in the set is analyzed, and the calculation formula is: ; Based on the degree of vegetation environmental damage of each green space area in the green space regulation set, the green space areas are sorted in descending order from large to small, and the regulation priority of each green space area is allocated based on the sorting results; The urban green space simulation model is exported at the monitoring end through the simulation system, and the environmental analysis data of each green space in the green space simulation model is marked accordingly; the green space regulation set with regulation needs is output, and the regulation needs are output according to priority.

[0027] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for dynamic analysis of urban green space data, characterized in that: The method comprises the following steps: S100, collect remote sensing image data of the target urban green space through remote sensing drones, and use airborne infrared sensors to monitor infrared data of urban green space; monitor the real-time environmental data of urban green space by installing environmental monitoring sensor devices; S200, importing the collected urban green space remote sensing image data into the urban simulation model to construct the urban green space simulation model; analyzing the real-time coverage of each urban green space by analyzing the urban green space infrared monitoring data; and dividing each urban green space area into levels based on the analysis data; S300, evaluating and analyzing the vegetation periodic growth environment impact index of each green space by retrieving the real-time environmental data corresponding to each green space; constructing a corresponding periodic growth environment impact index development curve based on the analysis data, analyzing the deviation degree of the periodic optimal growth environment index of each green space based on the curve, and making a growth environment data regulation judgment for each green space; analyzing the degree of vegetation environmental hazard impact on the green space that needs to be regulated based on the judgment result, and allocating regulation priorities to the green space that needs to be regulated based on the analysis data; The evaluation and analysis of the vegetation periodic growth environmental impact index of the green space is carried out by comprehensively calculating and analyzing the various types of environmental data of the corresponding green space vegetation in combination with the corresponding impact coefficient and the artificial weight distribution data; the analysis of the deviation degree of the optimal periodic growth environmental index of the green space is based on the development curve of the corresponding green space periodic growth environmental impact index, determining the historical optimal growth environmental index of the green space vegetation of the corresponding period, and determining the deviation data of the real-time growth environmental impact index of the green space vegetation of the current period by benchmarking, and analyzing the comprehensive deviation degree of the growth environmental impact index of the real-time period of the green space vegetation; the analysis of the vegetation environmental hazard impact degree is based on the abnormal regulation judgment of the corresponding green space, and a comprehensive analysis of the environmental hazard impact of the abnormal green space is carried out in combination with the corresponding green space level and the abnormal difference deviation degree; S400, by exporting the urban green space simulation model and marking the environmental analysis data of each green space accordingly, the green space with regulation needs is explicitly marked, and the regulation needs are output according to the priority.

2. The method for dynamic analysis of urban green space data according to claim 1, characterized in that: The S100 collects remote sensing image data of the target urban green space through a remote sensing drone, and uses an airborne infrared sensor to monitor infrared data of the urban green space; the specific steps of monitoring the real-time environmental data of the urban green space through the device environmental monitoring sensor device are as follows: S101. Conduct field surveys of the green areas of the target cities using remote sensing drones, collect images of the entire green area using airborne remote sensing image acquisition equipment, and annotate the collected images with location data; Simultaneously use airborne infrared sensor equipment to collect infrared band data of green areas; S102. Accessing the urban green space environment monitoring network, retrieve real-time data from the environmental monitoring equipment in each green space area in the network, and annotate the retrieved data with corresponding location data.

3. The method for dynamic analysis of urban green space data according to claim 2, characterized in that: The S200 imports the collected urban green space remote sensing image data into the urban simulation model to construct the urban green space simulation model; analyzes the real-time coverage of each urban green space by analyzing the urban green space infrared monitoring data; and divides each urban green space area into levels based on the analysis data. The specific steps are as follows: S201, constructing an urban green space simulation model by importing collected remote sensing image data of urban green space areas into an urban simulation model, simulating corresponding green space models of corresponding urban locations in the model in a mapping manner; and analyzing the real-time vegetation coverage of each green space area based on infrared band collected data of each green space area in the city; The infrared band data in each green area is analyzed to obtain the vegetation coverage index of the corresponding green area. The calculation formula is: ； Among them, DI(n) is the vegetation coverage index of the green area corresponding to number n; IR(n) is the near-infrared band reflectance of the green area corresponding to number n; Re(n) is the red light band reflectance of the green area corresponding to number n; S202, based on the vegetation coverage index analysis data corresponding to each green area, refer to the vegetation coverage rate, and perform normalized analysis on each green area. The calculation formula is: ； Among them, CO(n) is the normalized vegetation coverage rate of the green area corresponding to number n; DI(n) w is the bare soil reference vegetation coverage index of the green area corresponding to number n; DI(n) v The reference vegetation coverage index for the complete coverage of the green area corresponding to number n; Based on the normalized vegetation coverage analysis data of each green area, the normalized vegetation coverage of each green area is marked in the urban green space simulation model; by constructing a hierarchical division index, the hierarchical interval of the normalized vegetation coverage of each green area is divided into corresponding green area hierarchies.

4. The method for dynamic analysis of urban green space data according to claim 3, characterized in that: The S300 evaluates and analyzes the vegetation periodic growth environment impact index of each green space by retrieving the real-time environmental data corresponding to each green space; constructs a corresponding periodic growth environment impact index development curve based on the analysis data, analyzes the deviation degree of the periodic optimal growth environment index of each green space based on the curve, and makes a growth environment data regulation judgment for each green space; analyzes the degree of vegetation environmental hazard impact on the green space that needs to be regulated based on the judgment result, and allocates the regulation priority of the green space that needs to be regulated based on the analysis data. The specific steps are as follows: S301, by retrieving the real-time environmental data corresponding to each green area, setting the monitoring period to construct the periodic environmental data set corresponding to each green area; evaluating and analyzing the growth environment impact index of the corresponding green area at each time point in the periodic environmental data set of each green area, and the calculation formula is: ； Among them, GE(n,t) is the growth environment impact index at time point t in the corresponding period environmental data set of the green area numbered n; m is the number of collected environmental data types; W m is the allocation weight of the environmental data of type number m; α(m) is the vegetation growth influence coefficient of the environmental data of type number m; E m is the real-time value of the environmental data of the corresponding type number m; Based on the growth environment impact index analysis data at each time point in the periodic environmental data set of each green area, the corresponding periodic growth environment impact index development curve is constructed by curve fitting; the optimal vegetation growth environment data of each green area in the current period corresponding to the database is retrieved and the corresponding growth environment impact index is obtained; on the corresponding periodic growth environment impact index development curve of each green area, the time curve points that deviate from the optimal growth environment impact index of the current period are marked, and the deviation degree of the periodic growth environment index of each green area is analyzed by coordinating the marked curve points. The calculation formula is: ； Wherein, Gf(n) is the deviation degree of the periodic growth environment index of the green area with number n; t(g) is the time point marked on the periodic growth environment impact index development curve of the green area with number n; q[t(g)] is the overall time length of the periodic growth environment impact index development curve of the green area with number n; T is the period length; GE[n,t(g)] is the curve value corresponding to the curve time point marked on the periodic growth environment impact index development curve of the green area with number n; GE(bst) is the periodic optimal growth environment impact index of the green area with number n; GE(n,t) max andGE(n,t) min They are the maximum and minimum values ​​on the development curve of the periodic growth environment impact index of the green area with number n; S302, based on the deviation degree analysis data of the periodic growth environment index of each green area, the comparison parameter Gf(X) is introduced by calling the historical data of the database to compare and judge the deviation degree of the periodic growth environment index of each green area; if Gf(n)>Gf(X), it is judged that the vegetation growth environment of the green area corresponding to the current cycle is abnormal, and artificial environmental data is regulated; if Gf(n)≤Gf(X), it is judged that the vegetation growth environment of the green area corresponding to the current cycle is normal; The green space areas with abnormal environment are numbered and a green space regulation set is constructed in a coordinated manner. The degree of vegetation environmental hazard impact is analyzed for each green space area in the set. The calculation formula is: ； Where Dh(i) is the degree of influence of vegetation environmental hazards in the green area numbered i in the corresponding green area regulation set; Y(i) is the division level of the green area numbered i in the corresponding green area regulation set; Gf(i) is the degree of deviation of the periodic growth environment index of the green area numbered i in the corresponding green area regulation set; γ is the influence parameter of abnormal environmental vegetation environmental hazards; S(i) is the area of ​​the green area numbered i in the corresponding green area regulation set; Based on the degree of vegetation environmental hazard impact of each green space area in the green space regulation set, they are sorted in descending order from large to small, and the regulation priority is allocated to each green space area based on the sorting result.

5. The method for dynamic analysis of urban green space data according to claim 4, characterized in that: The specific steps of S400 are as follows: by exporting the urban green space simulation model and marking the environmental analysis data of each green space accordingly, explicitly marking the green space with regulation demand, and outputting the regulation demand according to the priority: S401, exporting the urban green space simulation model at the monitoring end through the simulation system, and marking the environmental analysis data of each green space in the green space simulation model accordingly; S402. Output the green space regulation set with regulation demand, and output the regulation demand according to the priority.

6. A dynamic urban green space data collection system, characterized by: The system includes a multi-dimensional data acquisition module, a green space model simulation module, a green space environment data comprehensive evaluation module and a control data output module; The multi-dimensional data acquisition module collects remote sensing image data of the target urban green space through a remote sensing drone, and uses an airborne infrared sensor to monitor infrared data of the urban green space; The real-time environmental data of urban green spaces are monitored by the device environment monitoring sensor device; the green space model simulation module imports the collected urban green space remote sensing image data into the urban simulation model to construct an urban green space simulation model; by analyzing the infrared monitoring data of urban green spaces, the real-time coverage of each urban green space is analyzed; based on the analysis data, the urban green space areas are hierarchically divided; the green space environmental data comprehensive evaluation module evaluates and analyzes the vegetation periodic growth environment impact index of each green space by retrieving the real-time environmental data corresponding to each green space; based on the analysis data, a corresponding periodic growth environment impact index development curve is constructed, and the deviation degree of the periodic optimal growth environment index of each green space is analyzed based on the curve, and the growth environment data regulation judgment of each green space is performed; based on the judgment result, the vegetation environmental hazard impact degree of the green space that needs to be regulated is analyzed, and the regulation priority of the green space that needs to be regulated is allocated based on the analysis data; the regulation data output module explicitly marks the green space with regulation needs by exporting the urban green space simulation model and correspondingly marking the environmental analysis data of each green space, and outputs the regulation needs according to the priority.

7. The urban green space data dynamic collection system according to claim 6, characterized in that: The multi-dimensional data acquisition module includes a green space remote sensing data acquisition unit and a green space environment data acquisition unit; The green space remote sensing data acquisition unit uses a remote sensing drone to conduct a field survey of the target city green space area, and uses an airborne remote sensing image acquisition device to collect images of the entire green space area, and annotates the collected images with location data; Simultaneously use airborne infrared sensor equipment to collect infrared band data of green areas; The green space environment data collection unit accesses the urban green space environment monitoring network, retrieves real-time data from environmental monitoring devices in each green space area in the network, and annotates the retrieved data with corresponding location data.

8. The urban green space data dynamic collection system according to claim 7, characterized in that: The green space model simulation module includes a green space model simulation unit and a green space level division unit; The green space model simulation unit constructs an urban green space simulation model by importing the collected remote sensing image data of the urban green space area into the urban simulation model, and simulating the corresponding green space model of the corresponding urban location in the model in a mapping manner; based on the infrared band collected data of each green space area in the city, the corresponding real-time vegetation coverage degree of each green space area is analyzed; the infrared band data in each green space area is analyzed to obtain the vegetation coverage index of the corresponding green space area; The green space hierarchical division unit performs normalized analysis on the reference vegetation coverage rate of each green space area based on the vegetation coverage index analysis data corresponding to each green space area; based on the normalized vegetation coverage rate analysis data of each green space area, the normalized vegetation coverage rate of each green space area is marked in the urban green space simulation model; and by constructing a hierarchical division index, the hierarchical division of the green space area corresponding to the hierarchical interval of the normalized vegetation coverage rate of each green space area is performed.

9. The urban green space data dynamic collection system according to claim 8, characterized in that: The green space environment data comprehensive evaluation module includes a green space environment data comprehensive evaluation unit and a green space abnormal regulation and analysis unit; The green space environment data comprehensive evaluation unit retrieves the on-site real-time environment data corresponding to each green space area, sets the monitoring period and constructs the periodic environment data set corresponding to each green space area; performs growth environment impact index evaluation and analysis on the corresponding green space area at each time point in the periodic environment data set of each green space area; constructs the corresponding periodic growth environment impact index development curve through curve fitting based on the growth environment impact index analysis data at each time point in the periodic environment data set of each green space area; retrieves the vegetation optimal growth environment data of each green space area in the current period from the database and obtains the corresponding growth environment impact index; marks the time curve points that deviate from the optimal growth environment impact index of the current period on the corresponding periodic growth environment impact index development curve of each green space area, and coordinates the marked curve points to analyze the degree of deviation of the periodic growth environment index of each green space; The green space abnormal regulation and analysis unit is based on the periodic growth environment index deviation degree analysis data of each green space area, introduces the comparison parameter Gf(X) by retrieving the historical data of the database, and compares and judges the degree of deviation of the periodic growth environment index of each green space area; numbers the green space areas with abnormal environment and comprehensively constructs a green space regulation set, and analyzes the degree of vegetation environmental hazard impact on each green space area in the set; sorts the green space areas in the green space regulation set in descending order from large to small based on the degree of vegetation environmental hazard impact, and allocates regulation priority to each green space area based on the sorting result.

10. The urban green space data dynamic collection system according to claim 9, characterized in that: The control data output module includes a green space model export unit and a control demand feedback unit; The green space model exporting unit exports the urban green space simulation model at the monitoring end through the simulation system, and marks the environmental analysis data of each green space in the green space simulation model accordingly; The regulation demand feedback unit outputs the green space regulation set for which regulation demand exists, and outputs the regulation demand according to the priority.

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