A dynamic acquisition system and analysis method for urban green space data

Abstract

The present invention discloses a dynamic acquisition system and analysis method for urban green space data, relating to the technical field of data analysis. The present invention collects remote sensing image data and infrared data monitoring of the target urban green space through a remote sensing drone; monitors the real-time environmental data of the green space through a sensing device; constructs an urban green space simulation model to analyze the real-time coverage of each urban green space and hierarchically divide each green area in the city; retrieves the real-time environmental data of each green space to evaluate the vegetation cycle growth environment impact index and constructs a corresponding cycle growth environment impact index development curve, analyzes the deviation degree of the optimal growth environment index of each green space in the cycle, and judges the regulation of the growth environment data of each green space; analyzes the degree of impact of vegetation environmental hazards on the green space to be regulated; exports the urban green space simulation model and correspondingly marks the environmental analysis data of each green space, prominently marks the green spaces with regulation requirements, and outputs regulation requirements according to the priority level.

Description

Technical Field

[0001] The present invention relates to the field of data analysis, and specifically to a dynamic acquisition system and analysis method for urban green space data. Background Art

[0002] The dynamic acquisition system for urban green space data is a monitoring system integrating a variety of modern technologies, which can collect and analyze various data of urban green space in real time and accurately through unmanned aerial vehicles, radars and sensing devices, so as to achieve precise monitoring and efficient management of green space resources;

[0003] Nowadays, urbanization develops rapidly, and the construction of ecological cities is also advancing more and more rapidly. 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 manual greening supervision mode cannot achieve comprehensive and real-time supervision, which leads to abnormal vegetation growth in urban green spaces that cannot be discovered and manually regulated in time; therefore, there is a current need for means to collect, monitor and analyze urban green space data all day long. Summary of the Invention

[0004] The purpose of the present invention is to provide a dynamic acquisition system and analysis method for urban green space data to solve the problems raised in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A dynamic analysis method for urban green space data, the method comprising the following steps:

[0007] S100. Collect remote sensing image data of the target urban green space through a remote sensing unmanned aerial vehicle, and monitor the infrared data of the urban green space by using an airborne infrared sensor; monitor the real-time environmental data of the urban green space by installing an environmental monitoring sensing device;

[0008] S200. Import the collected remote sensing image data of the urban green space into an urban simulation model to construct an urban green space simulation model; analyze the real-time coverage of each urban green space by analyzing the infrared monitoring data of the urban green space; divide the levels of each green area in the city based on the analysis data;

[0009] S300. Evaluate and analyze the impact index of the vegetation cycle growth environment on each green space by retrieving the real-time environmental data of the corresponding green spaces; construct a development curve of the corresponding cycle growth environment impact index based on the analysis data, analyze the deviation degree of the optimal growth environment index of each cycle for each green space based on the curve, and judge the regulation of the growth environment data of each green space; analyze the degree of harm to the vegetation environment of the green spaces to be regulated based on the judgment results, and allocate the regulation priority to the green spaces to be regulated based on the analysis data;

[0010] The evaluation and analysis of the impact index of the vegetation cycle growth environment on the green space is carried out through comprehensive calculation and analysis by combining various types of environmental data corresponding to the green space vegetation, the corresponding impact coefficients, and the artificial weight distribution data; the analysis of the deviation degree of the optimal growth environment index of the green space in a cycle is based on the development curve of the impact index of the growth environment of the corresponding green space in a cycle, determining the historical optimal growth environment index of the vegetation in the corresponding cycle of the green space, and benchmarking to determine the offset data of the real-time growth environment impact index of the vegetation in the current cycle of the green space, and analyzing the comprehensive offset degree of the impact index of the growth environment of the real-time cycle of the current green space vegetation; the analysis of the impact degree of the vegetation environmental hazard is based on the abnormal regulation judgment of the corresponding green space, and the comprehensive environmental hazard impact analysis is carried out on the abnormal green space by combining the level to which the green space belongs and the degree of abnormal difference offset.

[0011] S400. Export the urban green space simulation model, make corresponding annotations on the environmental analysis data of each green space, make explicit annotations on the green spaces with regulation requirements, and output the regulation requirements according to the priority.

[0012] The S100 collects remote sensing image data of the target urban green space by using a remote sensing drone, and monitors the infrared data of the urban green space by using an airborne infrared sensor; the specific steps for monitoring the real-time environmental data of the urban green space by using the device environmental monitoring sensor device are as follows:

[0013] S101. Use a remote sensing drone to conduct on-site surveys of the target urban green space area, collect full-area images of the green space area through an airborne remote sensing image acquisition device, and make location data annotations on the collected images; simultaneously collect infrared band data of the green space area by using an airborne infrared sensing device.

[0014] S102. Access the urban green space environmental monitoring network, retrieve the real-time data of the environmental monitoring devices in each green space area in the network, and make corresponding location data annotations on the retrieved data; among them, the environmental data includes temperature data, light data, humidity data, wind speed data, etc.

[0015] The S200 imports the collected remote sensing image data of the urban green space 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 infrared monitoring data of the urban green space; the specific steps for dividing the levels of each urban green space area based on the analysis data are as follows:

[0016] S201. Import the remotely sensed image data of the urban green area into the urban simulation model, and simulate the corresponding green space model for the corresponding urban locations in the model in a mapping manner to construct an urban green space simulation model; based on the data collected in the infrared band of each green area in the city, analyze the corresponding real-time vegetation coverage degree of each green area; analyze the infrared band data in each green area to obtain the vegetation coverage index of the corresponding green area, and its calculation formula is

[0017] ;

[0018] where DI(n) is the vegetation coverage index of the green area with the corresponding number n; IR(n) is the reflectance of the near-infrared band of the green area with the corresponding number n; Re(n) is the reflectance of the red light band of the green area with the corresponding number n;

[0019] S202. Based on the analysis data of the vegetation coverage index of each corresponding green area, perform normalization analysis on each green area with reference to the vegetation coverage rate, and its calculation formula is

[0020] ;

[0021] where CO(n) is the normalized vegetation coverage rate of the green area with the corresponding number n; DI(n) w is the bare soil reference vegetation coverage index of the green area with the corresponding number n; DI(n) v is the fully covered reference vegetation coverage index of the green area with the corresponding number n;

[0022] Based on the analysis data of the normalized vegetation coverage rate of each green area, mark the normalized vegetation coverage rate of each green area in the urban green space simulation model; by constructing a hierarchical division index, perform corresponding green area hierarchical division on the hierarchical interval where the normalized vegetation coverage rate of each green area is located.

[0023] The above-mentioned S300 evaluates and analyzes the vegetation cycle growth environment impact index of each green space by retrieving the real-time environmental data of the corresponding green spaces; constructs a corresponding cycle growth environment impact index development curve based on the analysis data, analyzes the deviation degree of the cycle optimal growth environment index of each green space based on the curve, and makes a judgment on the regulation of the growth environment data of each green space; based on the judgment result, analyzes the degree of vegetation environment hazard impact on the green space to be regulated, and assigns the regulation priority to the green space to be regulated based on the analysis data. The specific steps are as follows:

[0024] S301. By retrieving the on-site real-time environmental data of the corresponding green areas, set the monitoring cycle to construct a corresponding cycle environmental data set for each green area; evaluate and analyze the growth environment impact index of the corresponding green area for each time point in the cycle environmental data set of each green area, and its calculation formula is

[0025] ;

[0026] Among them, GE(n,t) is the growth environment impact index at time point t in the set of periodic environmental data corresponding to the green area with serial number n; m is the serial number of the types of collected environmental data; W m is the allocation weight of the environmental data corresponding to the type serial number m; α(m) is the vegetation growth impact coefficient of the environmental data corresponding to the type serial number m; E m is the real-time value of the environmental data corresponding to the type serial number m;

[0027] Based on the analysis data of the growth environment impact index at each time point in the set of periodic environmental data of each green area, construct the development curve of the corresponding periodic growth environment impact index through curve fitting; by retrieving the optimal growth environment data of the vegetation in each green area during the current period from the database and obtaining the corresponding growth environment impact index; among them, the corresponding growth environment impact index is the optimal growth environment impact index of the current period, and its acquisition method is to evaluate and calculate the growth environment impact index for the optimal growth environment data; on the development curve of the periodic growth environment impact index of each green area, mark the time curve points that deviate from the optimal growth environment impact index of the current period, and overall analyze the deviation degree of the periodic growth environment index of each green area for each marked curve point. The calculation formula is

[0028] ;

[0029] Among them, Gf(n) is the deviation degree of the periodic growth environment index of the green area with serial number n; t(g) is the curve time point marked on the development curve of the periodic growth environment impact index of the green area with serial number n; q[t(g)] is the overall time length of the curve time point marked on the development curve of the periodic growth environment impact index of the green area with serial number n; T is the period length; GE[n,t(g)] is the curve value corresponding to the curve time point marked on the development curve of the periodic growth environment impact index of the green area with serial number n; GE(bst) is the optimal growth environment impact index of the periodic growth environment of the green area with serial number n; GE(n,t) max and GE(n,t) min are respectively the maximum value and the minimum value on the development curve of the periodic growth environment impact index of the green area with serial number n;

[0030] S302. Based on the analysis data of the deviation degree of the periodic growth environment index of each green area, by retrieving the historical data in the database to introduce the comparison parameter Gf(X), compare and judge the deviation degree of the periodic growth environment index of each green area. If Gf(n) > Gf(X), it is determined that the vegetation growth environment of the corresponding green area in the current period is abnormal, and artificial environment data regulation is carried out on it. If Gf(n) ≤ Gf(X), it is determined that the vegetation growth environment of the corresponding green area in the current period is in a normal state;

[0031] Number and overall plan the green areas with abnormal environments to construct a green space regulation set, and analyze the degree of harm to the vegetation environment of each green area in the set. The calculation formula is

[0032] ;

[0033] Among them, Dh(i) is the degree of harm to the vegetation environment of the green area numbered i in the corresponding green space regulation set; Y(i) is the division level of the green area numbered i in the corresponding green space regulation set; Gf(i) is the deviation degree of the periodic growth environment index of the green area numbered i in the corresponding green space regulation set; γ is the harm impact parameter of the vegetation environment in the abnormal environment; S(i) is the area of the green area numbered i in the corresponding green space regulation set;

[0034] Based on the degree of harm to the vegetation environment of each green area in the green space regulation set, sort them in descending order from large to small, and allocate regulation priorities to each green area based on the sorting results.

[0035] The specific steps of the S400 for exporting the urban green space simulation model, corresponding marking of the environmental analysis data of each green space, explicitly marking the green spaces with regulation requirements, and outputting the regulation requirements according to the priority are as follows:

[0036] S401. Export the urban green space simulation model through the simulation system at the monitoring end, and perform corresponding marking on the environmental analysis data of each green space in the green space simulation model;

[0037] S402. Output the green space regulation set with regulation requirements, and output the regulation requirements according to the priority.

[0038] An urban green space data dynamic acquisition system, the system includes a multi-dimensional data acquisition module, a green space model simulation module, a green space environmental data comprehensive evaluation module, and a regulation data output module;

[0039] The multi-dimensional data acquisition module collects remote sensing image data of the target urban green space through a remote sensing UAV, 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 the device environmental monitoring sensing device; the green space model simulation module imports the collected remote sensing image data of the urban green space into the urban simulation model to construct an urban green space simulation model; analyzes the infrared monitoring data of the urban green space to analyze the real-time coverage of each green space in the city; hierarchically divides each green space area in the city based on the analysis data; the green space environmental data comprehensive evaluation module evaluates and analyzes the vegetation cycle growth environment impact index of each green space by retrieving the real-time environmental data corresponding to each green space; constructs a development curve of the corresponding cycle growth environment impact index based on the analysis data, analyzes the deviation degree of the cycle optimal growth environment index of each green space based on the curve, and judges the regulation of the growth environment data of each green space; analyzes the degree of harm to the vegetation environment of the green space to be regulated based on the judgment result, and assigns the regulation priority to the green space to be regulated based on the analysis data; the regulation data output module exports the urban green space simulation model and annotates the corresponding environmental analysis data of each green space, prominently annotates the green space with regulation requirements, and outputs the regulation requirements according to the priority.

[0040] The multi-dimensional data acquisition module includes a green space remote sensing data acquisition unit and a green space environmental data acquisition unit;

[0041] The green space remote sensing data acquisition unit uses a remote sensing UAV to conduct on-site surveys of the target urban green space area, collects full-area images of the green space area through an airborne remote sensing image acquisition device, and annotates the location data of the collected images; simultaneously uses an airborne infrared sensing device to collect infrared band data of the green space area;

[0042] The green space environmental data acquisition unit retrieves real-time data from the environmental monitoring devices in each green space area in the network by accessing the urban green space environmental monitoring network, and annotates the corresponding location data of the retrieved data.

[0043] The green space model simulation module includes a green space model simulation unit and a green space hierarchical division unit;

[0044] The green space model simulation unit imports the collected remote sensing image data of the urban green space area into the urban simulation model, maps the corresponding urban locations in the model to simulate the corresponding green space model, and constructs an urban green space simulation model; analyzes the real-time vegetation coverage of each green space area based on the infrared band acquisition data of each green space area in the city; analyzes the infrared band data in each green space area to obtain the vegetation coverage index of the corresponding green space area;

[0045] The green space level division unit performs normalization 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, it marks the normalized vegetation coverage rate of each green space area in the urban green space simulation model; by constructing a level division index, it divides the level intervals of the normalized vegetation coverage rate of each green space area into corresponding green space area levels.

[0046] The green space environment data comprehensive evaluation module includes a green space environment data comprehensive evaluation unit and a green space anomaly regulation analysis unit;

[0047] The green space environment data comprehensive evaluation unit sets a monitoring period to construct a periodic environment data set corresponding to each green space area by retrieving the on-site real-time environment data corresponding to each green space area; it evaluates and analyzes the growth environment impact index of each green space area at each time point in the periodic environment data set of each green space area; based on the growth environment impact index analysis data at each time point in the periodic environment data set of each green space area, it constructs a corresponding periodic growth environment impact index development curve through curve fitting; by retrieving the optimal growth environment data of the vegetation in each green space area in the database for the current period and obtaining the corresponding growth environment impact index; on the corresponding periodic growth environment impact index development curve of each green space area, it marks the time curve points that deviate from the optimal growth environment impact index of the current period, and overall analyzes the deviation degree of the periodic growth environment index of each green space by coordinating each marked curve point;

[0048] The green space anomaly regulation analysis unit introduces a comparison parameter Gf(X) by retrieving the historical data of the database based on the analysis data of the deviation degree of the periodic growth environment index of each green space area, and makes a comparison and judgment on the deviation degree of the periodic growth environment index of each green space area; it numbers and overall coordinates the green space areas with abnormal environments to construct a green space regulation set, and analyzes the degree of harm to the vegetation environment of each green space area in the set; based on the degree of harm to the vegetation environment of each green space area in the green space regulation set, it sorts them in descending order from large to small, and assigns regulation priorities to each green space area based on the sorting results.

[0049] The regulation data output module includes a green space model export unit and a regulation demand feedback unit;

[0050] The green space model export unit exports the urban green space simulation model to the monitoring end through the simulation system, and makes corresponding markings on the environmental analysis data of each green space in the green space simulation model;

[0051] The regulation demand feedback unit outputs the green space regulation set with regulation demands, and outputs regulation demands according to the priorities.

[0052] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0053] The present invention combines a remote sensing UAV with a remote sensing image acquisition device and associates a green space field environment acquisition sensing device to obtain distribution data and real-time environmental data of urban green spaces; constructs a simulation model based on the distribution of urban green spaces, and hierarchically divides urban green spaces by analyzing the vegetation coverage degree of each green space; analyzes the comprehensive vegetation growth impact index of the environmental data of each green space, and analyzes the deviation degree of the environmental data in the current cycle through a fitting curve, and judges abnormal green spaces based on the analysis data; analyzes the harm degree of abnormal environmental vegetation based on the abnormal green spaces, and assigns artificial regulation priorities to each abnormal green space based on the analysis data; the present invention can conduct overall planning and analysis of urban green spaces, and through small-scale cycles, conduct environmental assessment, abnormal judgment and regulation planning for each green space, realizing full-cycle autonomous data monitoring of urban green spaces, and greatly improving the accuracy and efficiency of intelligent monitoring of urban green spaces. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic structural diagram of a dynamic data acquisition system for urban green spaces according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0056] Embodiment: As Figure 1 shown, the present invention provides a technical solution:

[0057] A dynamic analysis method for urban green space data, the method comprising the following steps:

[0058] S100. Collect remote sensing image data of the target urban green space through a remote sensing UAV, and monitor the infrared data of the urban green space using an airborne infrared sensor; monitor the real-time environmental data of the urban green space through a device environmental monitoring sensing device;

[0059] S200. Import the collected remote sensing image data of the urban green space into an urban simulation model to construct an urban green space simulation model; analyze the real-time coverage of each urban green space by analyzing the infrared monitoring data of the urban green space; hierarchically divide each green space area in the city based on the analysis data;

[0060] S300. Evaluate and analyze the impact index of the vegetation cycle growth environment for each green space by retrieving the real-time environmental data corresponding to each green space; construct the development curve of the impact index of the corresponding cycle growth environment based on the analysis data, analyze the deviation degree of the optimal growth environment index of each green space based on the curve, and judge the regulation of the growth environment data of each green space; analyze the impact degree of the vegetation environmental hazard on the green space to be regulated based on the judgment result, and allocate the regulation priority for the green space to be regulated based on the analysis data;

[0061] The evaluation and analysis of the impact index of the vegetation cycle growth environment for the green space is carried out through comprehensive calculation and analysis by combining various types of environmental data of the corresponding green space vegetation, the corresponding impact coefficient, and the artificial weight allocation data; the analysis of the deviation degree of the optimal growth environment index of the cycle for the green space is based on the development curve of the impact index of the cycle growth environment of the corresponding green space, determine the historical optimal growth environment index of the vegetation of the corresponding cycle green space, and compare and determine the offset data of the real-time growth environment impact index of the vegetation of the current cycle green space, and analyze the comprehensive offset degree of the impact index of the growth environment of the real-time cycle of the current green space vegetation; the analysis of the impact degree of the vegetation environmental hazard is based on the abnormal regulation judgment of the corresponding green space, and the comprehensive analysis of the environmental hazard impact is carried out on the abnormal green space by combining the level to which the corresponding green space belongs and the abnormal difference offset degree;

[0062] S400. Export the urban green space simulation model and perform corresponding annotations on the environmental analysis data of each green space, explicitly annotate the green spaces with regulation requirements, and output the regulation requirements according to the priority.

[0063] S100 collects remote sensing image data of the target urban green space through a remote sensing drone, and monitors the infrared data of the urban green space using an airborne infrared sensor; the specific steps for monitoring the real-time environmental data of the urban green space through the device environmental monitoring sensing device are as follows:

[0064] S101. Use a remote sensing drone to conduct on-site surveys of the target urban green space area, collect full-area images of the green space area through an airborne remote sensing image acquisition device, and mark the location data of the collected images; simultaneously collect infrared band data of the green space area using an airborne infrared sensing device;

[0065] S102. By accessing the urban green space environmental monitoring network, retrieve the real-time data of each green space area environmental monitoring device in the network, and mark the corresponding location data of the retrieved data.

[0066] S200 imports the collected urban green space remote sensing image data into the urban simulation model to construct the urban green space simulation model; analyze the real-time coverage of each urban green space by analyzing the urban green space infrared monitoring data; the specific steps for dividing the levels of each urban green space area based on the analysis data are as follows:

[0067] S201. Import the remotely sensed image data of urban green areas into the urban simulation model, and in the model, conduct the corresponding green space model simulation for the corresponding urban locations in a mapping manner to construct an urban green space simulation model; based on the infrared band acquisition data of each green area in the city, analyze the corresponding real-time vegetation coverage degree of each green area; analyze the infrared band data in each green area to obtain the vegetation coverage index of the corresponding green area, and its calculation formula is

[0068] ;

[0069] where DI(n) is the vegetation coverage index of the green area with the corresponding number n; IR(n) is the reflectance of the near-infrared band of the green area with the corresponding number n; Re(n) is the reflectance of the red light band of the green area with the corresponding number n;

[0070] S202. Based on the analysis data of the vegetation coverage index of each corresponding green area, conduct a normalization analysis of each green area with reference to the vegetation coverage rate, and its calculation formula is

[0071] ;

[0072] where CO(n) is the normalized vegetation coverage rate of the green area with the corresponding number n; DI(n) w is the bare soil reference vegetation coverage index of the green area with the corresponding number n; DI(n) v is the fully covered reference vegetation coverage index of the green area with the corresponding number n;

[0073] Based on the analysis data of the normalized vegetation coverage rate of each green area, mark the normalized vegetation coverage rate of each green area in the urban green space simulation model; by constructing a hierarchical division index, conduct the corresponding green area hierarchical division for the hierarchical interval where the normalized vegetation coverage rate of each green area is located.

[0074] The specific steps of S300 for evaluating and analyzing the impact index of the vegetation cycle growth environment for each green space by retrieving the real-time environmental data of the corresponding green spaces; constructing the corresponding development curve of the impact index of the cycle growth environment based on the analysis data, analyzing the deviation degree of the optimal growth environment index of each cycle for each green space based on the curve, and making a judgment on the regulation of the growth environment data of each green space; analyzing the degree of harm to the vegetation environment of the green spaces that need to be regulated based on the judgment results, and assigning the regulation priority to the green spaces that need to be regulated based on the analysis data are as follows:

[0075] S301. By retrieving the on-site real-time environmental data corresponding to each green area, set a monitoring period to construct a periodic environmental data set corresponding to each green area; perform an evaluation and analysis of the growth environment impact index of the corresponding green area for each time point in the periodic environmental data set of each green area. The calculation formula is

[0076] ;

[0077] where GE(n,t) is the growth environment impact index of the time point t in the periodic environmental data set corresponding to the green area with the corresponding number n; m is the label of the number of types of collected environmental data; W m is the allocation weight of the environmental data corresponding to the type number m; α(m) is the vegetation growth impact coefficient of the environmental data corresponding to the type number m; E m is the real-time value of the environmental data corresponding to the type number m;

[0078] Based on the analysis data of the growth environment impact index of each time point in the periodic environmental data set of each green area, construct a development curve of the corresponding periodic growth environment impact index through curve fitting; retrieve the optimal growth environment data of the vegetation in each green area during the current period from the database and obtain the corresponding growth environment impact index; on the development curve of the periodic growth environment impact index of each green area, mark the time curve points that deviate from the optimal growth environment impact index of the current period, and conduct an analysis of the deviation degree of the periodic growth environment index for each green area by coordinating the marked curve points. The calculation formula is

[0079] ;

[0080] where Gf(n) is the deviation degree of the periodic growth environment index of the green area with the corresponding number n; t(g) is the curve time point marked on the development curve of the periodic growth environment impact index of the green area with the corresponding number n; q[t(g)] is the coordinated time length of the curve time point marked on the development curve of the periodic growth environment impact index of the green area with the corresponding number n; T is the period length; GE[n,t(g)] is the curve value corresponding to the curve time point marked on the development curve of the periodic growth environment impact index of the green area with the corresponding number n; GE(bst) is the optimal growth environment impact index of the period of the green area with the corresponding number n; GE(n,t) max and GE(n,t) min are the maximum and minimum values on the development curve of the periodic growth environment impact index of the green area with the corresponding number n respectively;

[0081] S302. Based on the data of the deviation degree analysis of the periodic growth environment index of each green area, by retrieving the historical data in the database to introduce the comparison parameter Gf(X), compare and judge the deviation degree of the periodic growth environment index of each green area. If Gf(n) > Gf(X), it is determined that the vegetation growth environment of the corresponding green area in the current period is abnormal, and artificial environment data regulation is carried out on it. If Gf(n) ≤ Gf(X), it is determined that the vegetation growth environment of the corresponding green area in the current period is in a normal state;

[0082] Number and overall plan the green areas with abnormal environments to construct a green space regulation set, and analyze the degree of harm to the vegetation environment of each green area in the set. The calculation formula is

[0083] ;

[0084] Among them, Dh(i) is the degree of harm to the vegetation environment of the green area numbered i in the corresponding green space regulation set; Y(i) is the division level of the green area numbered i in the corresponding green space regulation set; Gf(i) is the deviation degree of the periodic growth environment index of the green area numbered i in the corresponding green space regulation set; γ is the harm impact parameter of the abnormal environment vegetation environment; S(i) is the area of the green area numbered i in the corresponding green space regulation set;

[0085] Based on the degree of harm to the vegetation environment of each green area in the green space regulation set, sort them in descending order from large to small, and allocate regulation priorities to each green area based on the sorting results.

[0086] The specific steps of S400 for exporting the urban green space simulation model, corresponding marking of the environmental analysis data of each green space, explicitly marking the green spaces with regulation requirements, and outputting the regulation requirements according to the priority are as follows:

[0087] S401. Export the urban green space simulation model through the simulation system at the monitoring end, and perform corresponding marking on the environmental analysis data of each green space in the green space simulation model;

[0088] S402. Output the green space regulation set with regulation requirements, and output the regulation requirements according to the priority.

[0089] An urban green space data dynamic acquisition system, 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 regulation data output module;

[0090] The multi-dimensional data acquisition module collects remote sensing image data of the target urban green space through a remote sensing UAV, 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 the device environmental monitoring sensing device; the green space model simulation module imports the collected remote sensing image data of the urban green space into the urban simulation model to construct an urban green space simulation model; analyzes the infrared monitoring data of the urban green space to analyze the real-time coverage of each green space in the city; hierarchically divides each green area in the city based on the analysis data; the green space environmental data comprehensive evaluation module evaluates and analyzes the vegetation cycle growth environment impact index of each green space by retrieving the real-time environmental data corresponding to each green space; constructs a development curve of the corresponding cycle growth environment impact index based on the analysis data, analyzes the deviation degree of the cycle optimal growth environment index of each green space based on the curve, and judges the regulation of the growth environment data of each green space; analyzes the degree of impact of vegetation environmental hazards on the green space to be regulated based on the judgment result, and assigns the regulation priority to the green space to be regulated based on the analysis data; the regulation data output module exports the urban green space simulation model and annotates the corresponding environmental analysis data of each green space, prominently annotates the green space with regulation requirements, and outputs the regulation requirements according to the priority.

[0091] The multi-dimensional data acquisition module includes a green space remote sensing data acquisition unit and a green space environmental data acquisition unit;

[0092] The green space remote sensing data acquisition unit uses a remote sensing UAV to conduct on-site surveys of the target urban green space area, collects full-area images of the green space area through an airborne remote sensing image acquisition device, and annotates the location data of the collected images; simultaneously uses an airborne infrared sensing device to collect infrared band data of the green space area;

[0093] The green space environmental data acquisition unit retrieves real-time data from the environmental monitoring devices in each green space area in the network by accessing the urban green space environmental monitoring network, and annotates the corresponding location data of the retrieved data.

[0094] The green space model simulation module includes a green space model simulation unit and a green space hierarchical division unit;

[0095] The green space model simulation unit imports the collected remote sensing image data of the urban green space area into the urban simulation model, and maps the corresponding urban locations in the model to simulate the corresponding green space model to construct an urban green space simulation model; analyzes the real-time vegetation coverage of each green space area based on the infrared band acquisition data of each green space area in the city; analyzes the infrared band data in each green space area to obtain the vegetation coverage index of the corresponding green space area;

[0096] 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.

[0097] 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;

[0098] 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;

[0099] 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.

[0100] The control data output module includes a green space model export unit and a control demand feedback unit;

[0101] 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;

[0102] The regulation demand feedback unit outputs the green space regulation set with regulation demand, and outputs the regulation demand according to the priority;

[0103] In the example:

[0104] Now, a certain urban green space supervision department adopts a dynamic urban green space data acquisition system of the present invention to collect and detect data of urban green spaces. Then, a remote sensing drone is used to conduct on-site surveys of the target urban green space area, and an airborne remote sensing image acquisition device is used to collect full-area images of the green space area, and location data is marked on the collected images. At the same time, an airborne infrared sensing device is used to collect infrared band data of the green space area. By accessing the urban green space environment monitoring network, real-time data of each green space area environmental monitoring device in the network is retrieved, and the retrieved data is marked with corresponding location data.

[0105] By importing the remote sensing image data of the urban green space area into the urban simulation model, the corresponding urban locations are simulated with corresponding green space models in the model in a mapping manner to construct an urban green space simulation model. Based on the infrared band acquisition data of each green space area in the city, the corresponding real-time vegetation coverage degree of each green space area is analyzed. The vegetation coverage index of the corresponding green space area is obtained by analyzing the infrared band data of each green space area, and its calculation formula is

[0106] ;

[0107] Based on the vegetation coverage index analysis data of each corresponding green space area, normalization analysis is carried out on each green space area with reference to the vegetation coverage rate, and its calculation formula is

[0108] ;

[0109] Based on the normalization vegetation coverage rate analysis data of each green space area, normalization vegetation coverage rate marking is carried out on each green space area in the urban green space simulation model. By constructing a hierarchical division index, the corresponding green space area hierarchical division is carried out for the hierarchical interval where the normalization vegetation coverage rate of each green space area is located.

[0110] By retrieving the on-site real-time environmental data of each corresponding green space area, a periodic environmental data set corresponding to each green space area is constructed by setting a monitoring period. For each time point in the periodic environmental data set of each green space area, an evaluation analysis of the growth environment impact index of the corresponding green space area is carried out, and its calculation formula is

[0111] ;

[0112] Based on the growth environment impact index analysis data at each time point in the periodic environmental data set of each green area, construct the development curve of the corresponding periodic growth environment impact index through curve fitting; retrieve the optimal growth environment data of the vegetation in each green area during the current period from the database and obtain the corresponding growth environment impact index; on the development curve of the growth environment impact index of each green area in the corresponding period, mark the time curve points that deviate from the optimal growth environment impact index of the current period, and overall analyze the deviation degree of the periodic growth environment index for each green area. The calculation formula is

[0113] ;

[0114] Based on the analysis data of the deviation degree of the periodic growth environment index of each green area, introduce a comparison parameter Gf(X) by retrieving the historical data in the database, and compare and judge the deviation degree of the periodic growth environment index of each green area; if Gf(n) > Gf(X), it is determined that the vegetation growth environment in the corresponding green area of the current period is abnormal, and its artificial environmental data is regulated; if Gf(n) ≤ Gf(X), it is determined that the vegetation growth environment in the corresponding green area of the current period is in a normal state; number and overall plan the green areas with abnormal environments to construct a green area regulation set, and analyze the degree of harm to the vegetation environment of each green area in the set. The calculation formula is

[0115] ;

[0116] Based on the degree of harm to the vegetation environment of each green area in the green area regulation set, sort them in descending order from large to small, and allocate regulation priorities to each green area based on the sorting results;

[0117] Export the urban green space simulation model through the simulation system at the monitoring end, and make corresponding markings on the environmental analysis data of each green space in the green space simulation model; output the green area regulation set with regulation requirements, and output the regulation requirements according to the priorities.

[0118] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

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 with 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 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.

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 that has regulation needs, and output the regulation needs according to 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 space is 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 the urban green space simulation model; by analyzing the infrared monitoring data of urban green space, 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, the 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 and control 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; Among them, the evaluation and analysis of the vegetation periodic growth environment impact index of 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 green space periodic optimal growth environment index is based on the development curve of the corresponding green space periodic growth environment impact index, determining the historical optimal growth environment index of the green space vegetation of the corresponding period, and determining the offset data of the real-time growth environment impact index of the green space vegetation of the current period by benchmarking, and analyzing the comprehensive deviation degree of the growth environment impact index of the current green space vegetation in real-time period; the analysis of the vegetation environmental hazard impact degree is based on the judgment of the abnormal regulation of the corresponding green space, and a comprehensive analysis of the environmental hazard impact is carried out on the abnormal green space in combination with the corresponding green space level and the abnormal difference deviation degree.

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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