A system and method for evaluating abnormal fluctuations in urban green space carbon sink monitoring data

Abstract

The present invention discloses an abnormal fluctuation assessment system and method for urban green space carbon sink monitoring data, and relates to the technical field of data analysis. The present invention retrieves green space vegetation information from a database, extracts real-time green space vegetation information in combination with green space image data to update the database; performs grid processing and periodic carbon storage change rate assessment in combination with image data to realize carbon storage area division of green space areas; performs periodic carbon sink intensity analysis and hierarchical labeling on each area; conducts comprehensive assessment on the carbon sink performance of green spaces at each level, and conducts periodic green space carbon sink system stability analysis on urban green spaces in combination with the assessment data; updates and stores carbon sink analysis data of each green space area in the database city, and outputs the real-time analysis data to a display port; realizes accurate carbon sink data analysis of the target green space, grasps the stability of the green space system, and effectively improves the lagging situation of the regulatory capacity of urban green spaces in various cities in the current environment.

Description

Technical Field

[0001] The present invention relates to the field of data analysis, and specifically to a system and method for evaluating abnormal fluctuations in urban green space carbon sink monitoring data. Background Art

[0002] Urban green space carbon sink monitoring adopts a comprehensive monitoring scheme that integrates high-precision monitoring equipment, data analysis software, and security protocols. Its purpose is to monitor and evaluate the carbon sink capacity of urban green spaces in real time, ensure the accuracy, integrity, and security of data, and at the same time provide decision-making support to help optimize urban green space management and enhance urban ecological service functions;

[0003] At present, the pace of civilized city development has accelerated, and urban greening has been vigorously promoted; however, due to the mismatch between the supervision ability of urban green spaces and the development of urban greening, the urban green space system cannot be perfected, and the carbon sink monitoring of green spaces is relatively rough; conventional green space carbon sink monitoring collects green space information on-site manually and monitors the carbon sink reserves of green spaces through remote monitoring. It lacks timeliness in grasping the real-time status of green spaces, which is likely to cause lagged supervision of abnormal situations in the green space system; there is a lack of precise analysis of green space carbon sink data and a lack of sensitive perception of local carbon sink changes in green spaces. It can only grasp the carbon sink reserves of green spaces on a large scale and cannot finely obtain the stability changes of the carbon sink in green spaces. Summary of the Invention

[0004] The purpose of the present invention is to provide a system and method for evaluating abnormal fluctuations in urban green space carbon sink monitoring 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 method for evaluating abnormal fluctuations in urban green space carbon sink monitoring data, the method comprising the following steps:

[0007] S100. Determine the geographical location information of the current urban green space area, retrieve the vegetation information of the corresponding urban green space area from the urban green space database; obtain the image data of the corresponding urban green space area, extract the vegetation information of the real-time green space area based on the image data, and update the database;

[0008] S200. Perform grid processing on the image data, combine the carbon storage data of the corresponding grid green space area to evaluate the periodic carbon storage change rate, and divide the green space area into carbon storage regions based on the evaluation data;

[0009] S300. Analyze the periodic carbon sink intensity of each divided area according to the carbon storage area division data, and label the carbon storage divided areas hierarchically according to the analysis results; comprehensively evaluate the carbon sink performance of green spaces at each level, combine the evaluation data of the carbon sink performance of green spaces at each level, analyze the stability of the periodic green space carbon sink system of urban green spaces, and judge the abnormal risks based on the analysis data.

[0010] S400. Update and store the carbon sink analysis data of each green area in the city in the database, output the real-time analysis data to the display port, and give a warning for abnormal risks.

[0011] The specific steps for S100 to determine the geographical location information of the current urban green area, retrieve the vegetation information of the corresponding urban green area in the urban green space database; obtain the image data of the corresponding urban green area, extract the vegetation information of the real-time green area based on the image data, and update the database are as follows:

[0012] S101. Determine the urban green area as the monitoring target and obtain the urban positioning information of the corresponding green space; in the urban green space database, retrieve the vegetation information of the target green space in the database using the current monitoring target green space positioning information as the index; the vegetation information includes vegetation type data, vegetation quantity data, vegetation area data, etc.

[0013] S102. Obtain the full-area image data of the real-time area of the target green space, and extract the real-time vegetation distribution data of the target green space based on the image data; integrate the extracted green space vegetation information and update the vegetation information stored in the database.

[0014] The specific steps for S200 to perform grid processing on the image data, evaluate the periodic carbon storage change rate in combination with the carbon storage data of the corresponding grid green area, and divide the carbon storage area of the green area based on the evaluation data are as follows:

[0015] S201. Construct a real-scene model of the target green space by combining the image data of the urban target green space and the corresponding target green space vegetation extraction data; the equal-proportion adjustment refers to making an overall adjustment of a certain proportion to the whole model so that the internal part of the model is consistent with the real-scene space distribution.

[0016] S202. Perform corresponding green space scene space grid division processing based on the real-scene model of the target green space, and divide the vegetation distribution space in the green space scene into equal grids; respectively evaluate and analyze the periodic carbon storage change rate of the space division grids in the target green area, and its calculation formula is

[0017] ;

[0018] where, RCS nis the periodic carbon storage change rate of the corresponding vegetation in the grid numbered n; RC n (T, t 2 ) is the carbon storage of the corresponding vegetation in the grid numbered n at the end time point t of the period T; RC 2 time point; RC n (T, t 1 ) is the carbon storage of the corresponding vegetation in the grid numbered n at the beginning time point t of the period T; 1 time point; T is the analysis period;

[0019] Based on the periodic carbon storage change rate evaluation analysis data of each divided grid in the target green space real scene model, regional fusion is performed on each adjacent grid; by setting the regional fusion limit parameter q, starting from any grid area in the target green space real scene model as the fusion starting point, its adjacent grids are traversed, and fusion analysis calculation is performed on the fusion starting point grid and the adjacent grids. The calculation formula is

[0020] ;

[0021] The corresponding adjacent grids that meet the analysis calculation are fused with the fusion starting point grid to generate a fused grid area, and the adjacent grid areas of the fused area are traversed; where the grid numbered n is used as the fusion starting point; then n + 1 is the adjacent grid of the fusion starting point grid; fusion analysis calculation is performed on the corresponding fused area of the fusion starting point grid and the adjacent grids. The calculation formula is

[0022] ;

[0023] The corresponding adjacent grids that meet the analysis calculation are fused with the corresponding fused area of the fusion starting point grid, and the adjacent grids of the fused area are traversed again until the adjacent grids of the fused area do not meet the fusion analysis calculation results, then the traversal is stopped to complete the carbon storage area division; where RCS n (ar) min is the minimum value of the periodic carbon storage change rate in the corresponding fused area with the grid numbered n as the fusion starting point; RCS n (ar) m+1 is the periodic carbon storage change rate of the adjacent grid numbered m at the edge of the corresponding fused area with the grid numbered n as the fusion starting point.

[0024] The S300 performs periodic carbon sink intensity analysis on each divided area according to the carbon storage area division data, and performs hierarchical annotation on the carbon storage divided areas according to the analysis results; comprehensively evaluates the carbon sink performance of each level of green space, combines the evaluation data of the carbon sink performance of each level of green space, performs periodic green space carbon sink system stability analysis on the urban green space, and the specific steps for abnormal risk judgment based on the analysis data are as follows:

[0025] S301. Based on the data of the target green space carbon storage area division, through the periodic carbon sink analysis of each carbon storage area, its calculation formula is

[0026] ;

[0027] Among them, CSI j is the periodic carbon sink intensity of the carbon storage area with the corresponding number j; RC j is the total carbon storage of the carbon storage area with the corresponding number j; S j is the horizontal area of the carbon storage area with the corresponding number j; Based on the periodic carbon sink intensity analysis data of each carbon storage area, by retrieving the regional carbon sink intensity reference table, the carbon sink intensity level annotation is carried out for each carbon storage area; among them, the regional carbon sink intensity reference table is a preset regional carbon sink intensity level comparison form stored in the database, in which the regional carbon sink intensity and the level are corresponding in intervals, and based on the level interval where the carbon sink intensity of each carbon storage area is located, the level of the corresponding carbon storage area is determined;

[0028] S302. Combining the vegetation carbon storage data in each carbon storage area, the periodic carbon sink performance evaluation and analysis are carried out for each carbon storage area respectively, and its calculation formula is

[0029] ;

[0030] Among them, CSC j is the periodic carbon sink performance index of the carbon storage area with the corresponding number j; D p (j) is the quantity of the vegetation with the corresponding type number p in the carbon storage area with the corresponding number j; CF p is the carbon content of the vegetation with the corresponding type number p; G j is the horizontal area of the soil in the carbon storage area with the corresponding number j; CF v (j) is the carbon content per unit area of the soil in the carbon storage area with the corresponding number j; Af is the total horizontal area of the target green space; p is the number of vegetation type numbers in the target green space; among them, when a certain vegetation is covered by multiple carbon storage areas, the carbon performance analysis is carried out for the part of the vegetation covered in each carbon storage area;

[0031] Combining the periodic carbon sink performance index evaluation data of each carbon storage area in the target green space, the periodic carbon sink performance comprehensive analysis is carried out for the target green space within the period, and its calculation formula is

[0032] ;

[0033] Among them, CSC f is the periodic carbon sink performance comprehensive index of the corresponding target green space; A j is the horizontal area of the carbon storage area with the corresponding number j; R j is the level of the carbon storage area with the corresponding number j;

[0034] Based on the comprehensive analysis of the carbon sink performance of the target green space cycle, the carbon sink performance stability analysis is carried out for adjacent cycles, and its calculation formula is

[0035] ;

[0036] Among them, CSS is the evaluation value of the carbon sink performance stability of the target green space cycle; CSC f (T) corresponds to the comprehensive index of the carbon sink performance of the target green space cycle within the current cycle; CSC f (T - 1) corresponds to the comprehensive index of the carbon sink performance of the target green space cycle within the previous adjacent cycle of the current one; CSC f (hs) corresponds to the comprehensive index of the best carbon sink performance of the historical target green space;

[0037] Based on the analysis data of the carbon sink performance stability evaluation value of the target green space, by introducing the carbon sink performance stability judgment threshold CSS of the green space cycle y , the carbon sink performance stability analysis is carried out for the target green space of the current cycle; if CSS > CSS y , it is judged that the carbon sink performance stability of the target green space of the current cycle is abnormal, and there is a risk of carbon sink abnormality for the corresponding target green space; if CSS ≤ CSS y , it is judged that the carbon sink performance stability of the target green space of the current cycle is normal, and the state of the corresponding target green space is normal.

[0038] The S400 updates and stores the carbon sink analysis data of each green area in the city in the database, outputs the real-time analysis data through the display port, and warns of abnormal risks. The specific steps are as follows:

[0039] S401. Update and store the carbon sink analysis data of each green area in the city in the database; among them, the carbon sink analysis data includes the data of the carbon storage change rate of the green space cycle, the analysis data of the carbon storage area division, the carbon sink intensity data of the carbon storage area, the carbon sink performance evaluation data of the carbon area, and the stability evaluation data;

[0040] S402. Display and output the carbon sink analysis data and the carbon sink performance stability status of each green space in the city through the monitoring display port, and highlight and warn of the carbon sink abnormality risk for the green spaces with abnormal carbon sink stability.

[0041] An abnormal fluctuation evaluation system for urban green space carbon sink monitoring data, the system includes a green space information acquisition module, a model area construction module, a green space carbon sink evaluation module, and an evaluation feedback module;

[0042] The green space information acquisition module determines the geographical location information of the current urban green space area, retrieves the vegetation information of the corresponding urban green space area in the urban green space database; obtains the image data of the corresponding urban green space area, extracts the vegetation information of the real-time green space area based on the image data, and updates the database; the model area construction module performs grid processing on the image data, combines the carbon storage data of the corresponding grid green space area to evaluate the periodic carbon storage change rate, and divides the carbon storage area of the green space area based on the evaluation data; the green space carbon sink evaluation module analyzes the periodic carbon sink intensity of each divided area according to the carbon storage area division data, and performs hierarchical annotation on the carbon storage divided area according to the analysis results; comprehensively evaluates the carbon sink performance of each level of green space respectively, combines the evaluation data of the carbon sink performance of each level of green space, analyzes the stability of the periodic green space carbon sink system of the urban green space, and judges the abnormal risk based on the analysis data; the evaluation feedback module updates and stores the carbon sink analysis data of each green space area in the city in the database, outputs the real-time analysis data through the display port, and warns of the abnormal risk.

[0043] The green space information acquisition module includes a green space information retrieval unit and a green space information update unit;

[0044] The green space information retrieval unit determines the urban green space area as the monitoring target, and obtains the urban positioning information of the corresponding green space; in the urban green space database, using the current monitoring target green space positioning information as the index, retrieves the vegetation information of the target green space in the database;

[0045] The green space information update unit obtains the full-area image data of the real-time area of the target green space, and extracts the vegetation distribution data of the real-time target green space based on the image data; coordinates the extracted green space vegetation information and updates the vegetation information stored in the database.

[0046] The model area construction module includes a model construction unit and a carbon storage area division unit;

[0047] The model construction unit constructs a real-scene model of the target green space by combining the image data of the urban target green space and the vegetation extraction data of the corresponding target green space;

[0048] The carbon storage area division unit performs corresponding green space scene space grid division processing based on the target green space real scene model, and equally divides the vegetation distribution space in the green space scene; evaluates and analyzes the periodic carbon storage change rate of the space division grid of the target green area respectively; based on the periodic carbon storage change rate evaluation analysis data of each division grid in the target green space real scene model, fuses adjacent grids; by setting regional fusion limit parameters, starting from any grid area in the target green space real scene model, traverses its adjacent grids, and performs fusion analysis and calculation on the fusion starting grid and the adjacent grids; fuses the corresponding adjacent grids that meet the analysis and calculation with the fusion starting grid to generate a fusion grid area, and traverses the adjacent grid areas of the fusion area; performs fusion analysis and calculation on the fusion area corresponding to the fusion starting grid and the adjacent grids; fuses the corresponding adjacent grids that meet the analysis and calculation with the fusion area corresponding to the fusion starting grid, and traverses the adjacent grids of the fusion area again until the adjacent grids of the fusion area do not meet the fusion analysis and calculation results, then stops traversing to complete the carbon storage area division.

[0049] The green space carbon sink evaluation module includes a regional carbon sink intensity analysis unit and a green space comprehensive carbon sink evaluation unit;

[0050] The regional carbon sink intensity analysis unit conducts periodic carbon sink analysis on each carbon storage area according to the target green space carbon storage area division data; based on the periodic carbon sink intensity analysis data of each carbon storage area, by retrieving the regional carbon sink intensity reference table, marks the carbon sink intensity levels of each carbon storage area;

[0051] The green space comprehensive carbon sink evaluation unit combines the vegetation carbon storage data in each carbon storage area, and conducts periodic carbon sink performance evaluation and analysis on each carbon storage area respectively; combines the periodic carbon sink performance index evaluation data of each carbon storage area in the target green space, and conducts comprehensive analysis of the periodic carbon sink performance of the target green space within the period; based on the comprehensive analysis of the periodic carbon sink performance of the target green space, conducts carbon sink performance stability analysis on adjacent periods; based on the analysis data of the periodic carbon sink performance stability evaluation value of the target green space, by introducing the green space periodic carbon sink performance stability judgment threshold, conducts carbon sink performance stability analysis on the target green space in the current period, and judges the carbon sink abnormal risk based on the analysis data.

[0052] The evaluation feedback module includes a database update unit and an evaluation data feedback unit;

[0053] The database update unit updates and stores the carbon sink analysis data of each green area in the city in the database; among them, the carbon sink analysis data includes green space periodic carbon storage change rate data, carbon storage area division analysis data, carbon storage area carbon sink intensity data, carbon area carbon sink performance evaluation data, and stability evaluation data;

[0054] The evaluation data feedback unit displays and outputs the carbon sink analysis data and the carbon sink performance stability status of each green space in the city through the monitoring display port, and highlights the carbon sink anomaly risk for the green spaces with abnormal carbon sink stability.

[0055] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0056] The present invention uses periodic cyclic information collection and update to realize the data storage and update of the target green space data information, and combines a series of models, data processing and analysis to effectively supervise the urban green space system and analyze the carbon sink data; ensures the timeliness of the data of the target green space through database update; constructs a real-scene model of the green space and performs grid processing, analyzes the carbon storage change to realize the division of the green space area, and analyzes the carbon sink intensity of each area to realize the hierarchical division; combines the carbon sink performance evaluation of each area and the corresponding carbon sink intensity data to realize the comprehensive carbon sink performance evaluation of the target green space; uses the data analysis of the comprehensive carbon sink performance evaluation of the target green space in continuous cycles to analyze the stability of the periodic carbon sink change, realizes the accurate carbon sink data analysis of the target green space, grasps the stability of the green space system, and real-time supervises the green space status, effectively improving the lagging situation of the supervision ability of urban green spaces in each city in the current environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic structural diagram of a system for evaluating abnormal fluctuations in carbon sink monitoring data of urban green spaces according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the 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. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0059] Embodiment: As Figure 1 shown, the present invention provides a technical solution:

[0060] A method for evaluating abnormal fluctuations in carbon sink monitoring data of urban green spaces, the method comprising the following steps:

[0061] S100. Determine the geographical location information of the current urban green space area, and retrieve the vegetation information of the corresponding urban green space area in the urban green space database; obtain the image data of the corresponding urban green space area, extract the vegetation information of the real-time green space area based on the image data, and update the database.

[0062] S200. Perform grid processing on the image data, evaluate the periodic carbon storage change rate by combining the carbon storage data of the green area in the corresponding grid, and divide the carbon storage area of the green area based on the evaluation data;

[0063] S300. According to the carbon storage area division data, analyze the periodic carbon sink intensity of each divided area, and label the carbon storage divided area hierarchically according to the analysis results; comprehensively evaluate the carbon sink performance of each level of green space respectively, combine the evaluation data of the carbon sink performance of each level of green space, analyze the stability of the periodic green space carbon sink system of the urban green space, and judge the abnormal risk based on the analysis data;

[0064] S400. Update and store the carbon sink analysis data of each green area in the city in the database, output the real-time analysis data through the display port, and give a warning for abnormal risks.

[0065] The specific steps for S100 to determine the geographical location information of the current urban green area, retrieve the vegetation information of the corresponding urban green area in the urban green space database; obtain the image data of the corresponding urban green area, extract the vegetation information of the real-time green area based on the image data, and update the database are as follows:

[0066] S101. Determine the urban green area as the monitoring target and obtain the urban positioning information of the corresponding green space; in the urban green space database, retrieve the vegetation information of the target green space in the database using the current monitoring target green space positioning information as the index;

[0067] S102. Obtain the full-area image data of the real-time area of the target green space, and extract the vegetation distribution data of the real-time target green space based on the image data; coordinate the extracted green space vegetation information and update the vegetation information stored in the database.

[0068] The specific steps for S200 to perform grid processing on the image data, evaluate the periodic carbon storage change rate by combining the carbon storage data of the green area in the corresponding grid, and divide the carbon storage area of the green area based on the evaluation data are as follows:

[0069] S201. Construct a real-scene model of the target green space by combining the image data of the urban target green space and the extracted data of the corresponding target green space vegetation;

[0070] S202. Perform corresponding green space scene space grid division processing based on the real-scene model of the target green space, and equally divide the vegetation distribution space in the green space scene; respectively evaluate and analyze the periodic carbon storage change rate of the grid divided in the target green area space, and its calculation formula is

[0071] ;

[0072] where, RCSn is the periodic carbon storage change rate of the corresponding vegetation in the grid numbered n; RC n (T, t 2 ) is the carbon storage of the corresponding vegetation in the grid numbered n at the end time point t of the period T; RC 2 time point; RC n (T, t 1 ) is the carbon storage of the corresponding vegetation in the grid numbered n at the beginning time point t of the period T; 1 time point; T is the analysis period;

[0073] Based on the evaluation and analysis data of the periodic carbon storage change rate of each divided grid in the target green space real scene model, regional fusion is performed on each adjacent grid; by setting the regional fusion limit parameter q, starting from any grid area in the target green space real scene model as the fusion starting point, its adjacent grids are traversed, and fusion analysis and calculation are performed on the fusion starting point grid and the adjacent grids. The calculation formula is

[0074] ;

[0075] The corresponding adjacent grids that meet the analysis and calculation are fused with the fusion starting point grid to generate a fusion grid area, and the adjacent grid areas of the fusion area are traversed; fusion analysis and calculation are performed on the corresponding fusion area of the fusion starting point grid and the adjacent grids. The calculation formula is

[0076] ;

[0077] The corresponding adjacent grids that meet the analysis and calculation are fused with the corresponding fusion area of the fusion starting point grid, and the adjacent grids of the fusion area are traversed again until the adjacent grids of the fusion area do not meet the fusion analysis and calculation results, then the traversal is stopped to complete the carbon storage area division; where RCS n (ar) min is the minimum value of the periodic carbon storage change rate in the corresponding fusion area with the grid numbered n as the fusion starting point; RCS n (ar) m+1 is the periodic carbon storage change rate of the adjacent grid numbered m at the edge of the corresponding fusion area with the grid numbered n as the fusion starting point.

[0078] The S300 performs periodic carbon sink intensity analysis on each divided area according to the carbon storage area division data, and performs hierarchical labeling on the carbon storage divided areas according to the analysis results; comprehensively evaluates the carbon sink performance of each level of green space, combines the evaluation data of the carbon sink performance of each level of green space, performs stability analysis on the periodic green space carbon sink system of the urban green space, and the specific steps for abnormal risk judgment based on the analysis data are as follows:

[0079] S301. Based on the data of the target green space carbon storage area division, through the periodic carbon sink analysis of each carbon storage area, the calculation formula is

[0080] ;

[0081] Among them, CSI j is the periodic carbon sink intensity of the carbon storage area with the corresponding number j; RC j is the total carbon storage of the carbon storage area with the corresponding number j; S j is the horizontal area of the carbon storage area with the corresponding number j; Based on the periodic carbon sink intensity analysis data of each carbon storage area, by retrieving the regional carbon sink intensity reference table, the carbon sink intensity level marking of each carbon storage area is carried out;

[0082] S302. Combining the vegetation carbon storage data in each carbon storage area, the periodic carbon sink performance evaluation and analysis of each carbon storage area are carried out respectively, and the calculation formula is

[0083] ;

[0084] Among them, CSC j is the periodic carbon sink performance index of the carbon storage area with the corresponding number j; D p (j) is the quantity of vegetation of the corresponding type number p in the carbon storage area with the corresponding number j; CF p is the carbon content of the vegetation of the corresponding type number p; G j is the horizontal area of the soil in the carbon storage area with the corresponding number j; CF v (j) is the carbon content per unit area of the soil in the carbon storage area with the corresponding number j; Af is the total horizontal area of the target green space; p is the number of vegetation type numbers in the target green space;

[0085] Combining the periodic carbon sink performance index evaluation data of each carbon storage area in the target green space, the comprehensive analysis of the periodic carbon sink performance of the target green space within the period is carried out, and the calculation formula is

[0086] ;

[0087] Among them, CSC f is the comprehensive index of the periodic carbon sink performance of the corresponding target green space; A j is the horizontal area of the carbon storage area with the corresponding number j; R j is the level of the carbon storage area with the corresponding number j;

[0088] Based on the comprehensive analysis of the periodic carbon sink performance of the target green space, the stability analysis of the carbon sink performance in the adjacent period is carried out, and the calculation formula is

[0089] ;

[0090] Among them, CSS is the evaluation value of the stability of the carbon sink performance of the target green space cycle; CSC f (T) correspondingly represents the comprehensive index of the carbon sink performance of the target green space cycle within the current cycle; CSC f (T - 1) correspondingly represents the comprehensive index of the carbon sink performance of the target green space cycle within the previous adjacent cycle; CSC f (hs) correspondingly represents the comprehensive index of the best carbon sink performance of the historical target green space cycle;

[0091] Based on the analysis data of the evaluation value of the stability of the carbon sink performance of the target green space cycle, by introducing the judgment threshold CSS of the stability of the carbon sink performance of the green space cycle y , conduct an analysis of the stability of the carbon sink performance of the target green space in the current cycle; if CSS > CSS y , then it is judged that the stability of the carbon sink performance of the target green space in the current cycle is abnormal, and there is a risk of carbon sink abnormality for the corresponding target green space; if CSS ≤ CSS y , then it is judged that the stability of the carbon sink performance of the target green space in the current cycle is normal, and the state of the corresponding target green space is normal.

[0092] The specific steps for the S400 to update and store the carbon sink analysis data of each green area in the city in the database, output the real-time analysis data through the display port, and give a warning for the abnormal risk are as follows:

[0093] S401. Update and store the carbon sink analysis data of each green area in the city in the database; among them, the carbon sink analysis data includes the data of the change rate of the carbon storage in the green space cycle, the analysis data of the carbon storage area division, the carbon sink intensity data of the carbon storage area, the evaluation data of the carbon sink performance of the carbon area, and the stability evaluation data;

[0094] S402. Display and output the carbon sink analysis data and the carbon sink performance stability status of each green space in the city through the monitoring display port, and highlight and warn the abnormal risk of carbon sink stability for the green spaces with abnormal carbon sink stability.

[0095] An abnormal fluctuation evaluation system for urban green space carbon sink monitoring data, the system includes a green space information acquisition module, a model area construction module, a green space carbon sink evaluation module, and an evaluation feedback module;

[0096] The green space information acquisition module determines the geographical location information of the current urban green space area, and retrieves the vegetation information of the corresponding urban green space area in the urban green space database; obtains the image data of the corresponding urban green space area, extracts the vegetation information of the real-time green space area based on the image data, and updates the database; the model area construction module performs grid processing on the image data, combines the carbon storage data of the corresponding grid green space area to evaluate the periodic carbon storage change rate, and divides the carbon storage area of the green space area based on the evaluation data; the green space carbon sink evaluation module analyzes the periodic carbon sink intensity of each divided area according to the carbon storage area division data, and performs hierarchical annotation on the carbon storage divided area according to the analysis results; comprehensively evaluates the carbon sink performance of each level of green space respectively, combines the carbon sink performance evaluation data of each level of green space, analyzes the stability of the periodic green space carbon sink system of the urban green space, and judges the abnormal risk based on the analysis data; the evaluation feedback module updates and stores the carbon sink analysis data of each green space area in the city in the database, outputs the real-time analysis data through the display port, and warns of the abnormal risk.

[0097] The green space information acquisition module includes a green space information retrieval unit and a green space information update unit;

[0098] The green space information retrieval unit determines the urban green space area as the monitoring target, and obtains the urban positioning information of the corresponding green space; in the urban green space database, using the current monitoring target green space positioning information as an index, retrieves the vegetation information of the target green space in the database;

[0099] The green space information update unit obtains the full-area image data of the real-time area of the target green space, and extracts the real-time vegetation distribution data of the target green space based on the image data; coordinates the extracted green space vegetation information and updates the vegetation information stored in the database.

[0100] The model area construction module includes a model construction unit and a carbon storage area division unit;

[0101] The model construction unit constructs a real-scene model of the target green space by combining the image data of the urban target green space and the corresponding target green space vegetation extraction data;

[0102] The carbon storage area division unit performs corresponding green space scene space grid division processing based on the target green space real scene model, and equally divides the vegetation distribution space in the green space scene; respectively evaluates and analyzes the periodic carbon storage change rate of the space division grid of the target green area; based on the periodic carbon storage change rate evaluation analysis data of each division grid in the target green space real scene model, performs regional fusion on each adjacent grid; by setting regional fusion limit parameters, takes any grid area in the target green space real scene model as the fusion starting point, traverses its adjacent grids, and performs fusion analysis and calculation on the fusion starting point grid and the adjacent grids; fuses the corresponding adjacent grids that meet the analysis and calculation with the fusion starting point grid to generate a fusion grid area, and traverses the adjacent grid areas of the fusion area; performs fusion analysis and calculation on the fusion area corresponding to the fusion starting point grid and the adjacent grids; fuses the corresponding adjacent grids that meet the analysis and calculation with the fusion area corresponding to the fusion starting point grid, and traverses the adjacent grids of the fusion area again until the adjacent grids of the fusion area do not meet the fusion analysis and calculation results, then stops traversing to complete the carbon storage area division.

[0103] The green space carbon sink evaluation module includes a regional carbon sink intensity analysis unit and a green space comprehensive carbon sink evaluation unit;

[0104] The regional carbon sink intensity analysis unit performs periodic carbon sink analysis on each carbon storage area according to the target green space carbon storage area division data; based on the periodic carbon sink intensity analysis data of each carbon storage area, by retrieving the regional carbon sink intensity reference table, performs carbon sink intensity level marking on each carbon storage area;

[0105] The green space comprehensive carbon sink evaluation unit combines the vegetation carbon storage data in each carbon storage area, and respectively performs periodic carbon sink performance evaluation analysis on each carbon storage area; combines the periodic carbon sink performance index evaluation data of each carbon storage area in the target green space, and performs comprehensive analysis of the periodic carbon sink performance of the target green space within the period; based on the comprehensive analysis of the periodic carbon sink performance of the target green space, performs carbon sink performance stability analysis on adjacent periods; based on the analysis data of the periodic carbon sink performance stability evaluation value of the target green space, by introducing the green space periodic carbon sink performance stability judgment threshold, performs carbon sink performance stability analysis on the target green space in the current period, and makes a judgment on the carbon sink anomaly risk based on the analysis data.

[0106] The evaluation feedback module includes a database update unit and an evaluation data feedback unit;

[0107] The database update unit updates and stores the carbon sink analysis data of each green area in the city in the database; among them, the carbon sink analysis data includes green space periodic carbon storage change rate data, carbon storage area division analysis data, carbon storage area carbon sink intensity data, carbon area carbon sink performance evaluation data, and stability evaluation data;

[0108] The evaluation data feedback unit displays and outputs the carbon sink analysis data and the carbon sink performance stability status of each green space in the city through the monitoring display port, and highlights and warns the carbon sink abnormal risks of the green spaces with abnormal carbon sink stability.

[0109] In the embodiment:

[0110] Currently, a green space management unit in a certain city introduces the abnormal fluctuation evaluation system for carbon sink monitoring data of urban green spaces of the present invention to monitor and manage the carbon sinks of urban green spaces. Then, the urban green space area is determined as the monitoring target, and the urban positioning information of the corresponding green space is obtained. In the urban green space database, using the current monitoring target green space positioning information as the index, the vegetation information of the target green space in the database is retrieved. The real-time regional full-area image data of the target green space is obtained, and the real-time vegetation distribution data of the target green space is extracted based on the image data. The extracted green space vegetation information is coordinated and the vegetation information stored in the database is updated.

[0111] Combining the urban target green space image data and the corresponding target green space vegetation extraction data to construct a real-scene model of the target green space; based on the real-scene model of the target green space, performing corresponding green space scene space grid division processing, and equally dividing the vegetation distribution space in the green space scene; respectively performing periodic carbon storage change rate evaluation and analysis on the grid divided areas of the target green space, and its calculation formula is

[0112] ;

[0113] Based on the periodic carbon storage change rate evaluation and analysis data of each divided grid in the real-scene model of the target green space, performing regional fusion on each adjacent grid; by setting the regional fusion limit parameter q, taking any grid area in the real-scene model of the target green space as the fusion starting point, traversing its adjacent grids, and performing fusion analysis and calculation on the fusion starting point grid and the adjacent grids, and its calculation formula is

[0114] ;

[0115] Performing grid fusion on the corresponding adjacent grids that meet the analysis and calculation and the fusion starting point grid to generate a fusion grid area, and traversing the adjacent grid areas of the fusion area; performing fusion analysis and calculation on the corresponding fusion area of the fusion starting point grid and the adjacent grids, and its calculation formula is

[0116] ;

[0117] Performing fusion on the corresponding adjacent grids that meet the analysis and calculation and the corresponding fusion area of the fusion starting point grid, and traversing the adjacent grids of the fusion area again until the adjacent grids of the fusion area do not meet the fusion analysis and calculation results, then stop traversing to complete the carbon storage area division.

[0118] Based on the data of the target green space carbon storage area division, through the periodic carbon sink analysis of each carbon storage area, its calculation formula is

[0119] ;

[0120] Combined with the vegetation carbon storage data in each carbon storage area, the periodic carbon sink performance evaluation and analysis are carried out for each carbon storage area respectively, and its calculation formula is

[0121] ;

[0122] Combined with the periodic carbon sink performance index evaluation data of each carbon storage area in the target green space, the comprehensive analysis of the periodic carbon sink performance of the target green space within the period is carried out, and its calculation formula is

[0123] ;

[0124] Based on the comprehensive analysis of the periodic carbon sink performance of the target green space, the stability analysis of the carbon sink performance of adjacent periods is carried out, and its calculation formula is

[0125] ;

[0126] Based on the analysis data of the stability evaluation value of the periodic carbon sink performance of the target green space, by introducing the judgment threshold CSS y of the periodic carbon sink performance stability of the green space, the stability analysis of the carbon sink performance of the target green space in the current period is carried out; if CSS > CSS y , it is judged that the carbon sink performance stability of the target green space in the current period is abnormal, and there is a carbon sink abnormal risk for the corresponding target green space; if CSS ≤ CSS y , it is judged that the carbon sink performance stability of the target green space in the current period is normal, and the state of the corresponding target green space is normal;

[0127] Update and store the carbon sink analysis data of each green area in the city in the database; among them, the carbon sink analysis data includes the data of the change rate of the periodic carbon storage in the green space, the analysis data of the carbon storage area division, the carbon sink intensity data of the carbon storage area, the evaluation data of the carbon sink performance of the carbon area and the stability evaluation data; the carbon sink analysis data and the carbon sink performance stability status of each green space in the city are displayed and output through the monitoring display port, and a prominent prompt for the carbon sink abnormal risk is given to the green space with abnormal carbon sink stability.

[0128] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, in all respects, 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 embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

Claims

1. A method for evaluating abnormal fluctuations in urban green space carbon sink monitoring data, characterized in that: The method comprises the following steps: S100, determining the geographical location information of the current urban green space area, retrieving vegetation information of the corresponding urban green space area from the urban green space database; obtaining image data of the corresponding urban green space area, extracting vegetation information of the real-time green space area based on the image data, and updating the database; S200, gridding the image data, evaluating the periodic carbon storage change rate in combination with carbon storage data of the corresponding grid green space area, and dividing the green space area into carbon storage areas based on the evaluation data; The specific steps of S200 are as follows: S201, constructing a real scene model of the target green space by combining the urban target green space image data and the corresponding target green space vegetation extraction data; S202, based on the target green space real scene model, the corresponding green space scene space grid division processing is performed, and the vegetation distribution space in the green space scene is divided into equal grids; the periodic carbon storage change rate evaluation and analysis is performed on the spatial division grids of the target green space area respectively, and the calculation formula is: ； Among them, RCS n is the periodic carbon storage change rate of the vegetation in the grid numbered n; RC n (T, t2) is the carbon storage of the corresponding vegetation in the grid numbered n at the end of the period T at time t2; RC n (T, t1) is the carbon storage of the corresponding vegetation in the grid numbered n at the beginning of the period T at time t1; T is the analysis period; Based on the periodic carbon storage change rate evaluation and analysis data of each divided grid in the target green space real-life model, each adjacent grid is regionally fused; by setting the regional fusion restriction parameter q, any grid area in the target green space real-life model is taken as the fusion starting point, its adjacent grids are traversed, and the fusion starting point grid and the adjacent grids are fused and analyzed and calculated. The calculation formula is: ； The corresponding adjacent grids that meet the analysis and calculation requirements are fused with the fusion starting grid to generate a fusion grid area, and the adjacent grid areas of the fusion area are traversed; the fusion analysis and calculation are performed on the fusion starting grid corresponding to the fusion area and the adjacent grids. The calculation formula is: ； The corresponding adjacent grids that meet the analysis and calculation are merged with the corresponding fusion area of ​​the fusion starting point grid, and the adjacent grids of the fusion area are traversed again until the adjacent grids of the fusion area do not meet the fusion analysis and calculation results, then the traversal is stopped to complete the carbon storage area division; RCS n (ar) min RCS is the minimum value of the periodic carbon storage change rate in the fusion area corresponding to the fusion starting point of the grid number n; n (ar) m+1 is the periodic carbon storage change rate of the adjacent grids numbered m at the edge of the fusion area with the grid numbered n as the fusion starting point; S300. According to the carbon storage area division data, the periodic carbon sink intensity analysis is performed on each division area, and the carbon storage division area is hierarchically labeled according to the analysis results; the carbon sink performance of green space at each level is comprehensively evaluated, and the stability analysis of the periodic green space carbon sink system of urban green space is performed based on the green space carbon sink performance evaluation data at each level, and abnormal risk judgment is performed based on the analysis data; S400, updating and storing carbon sink analysis data for each green area in the city in the database, outputting the real-time analysis data to a display port, and issuing warnings for abnormal risks.

2. The method for evaluating abnormal fluctuations in urban green space carbon sink monitoring data according to claim 1, characterized in that: The specific steps of determining the geographical location information of the current urban green space area, retrieving vegetation information of the corresponding urban green space area from the urban green space database, acquiring image data of the corresponding urban green space area, extracting vegetation information of the real-time green space area based on the image data, and updating the database are as follows: S101, determining an urban green space area as a monitoring target, obtaining urban positioning information of the corresponding green space; in an urban green space database, using the current monitoring target green space positioning information as an index, retrieving vegetation information of the target green space in the database; S102, obtaining real-time full-area image data of the target green space, and extracting real-time vegetation distribution data of the target green space based on the image data; coordinating the extracted green space vegetation information and updating the vegetation information stored in the database.

3. The method for evaluating abnormal fluctuations in urban green space carbon sink monitoring data according to claim 2 is characterized by: The S300 performs a periodic carbon sink intensity analysis on each divided area according to the carbon storage area division data, and labels the carbon storage division areas according to the analysis results; comprehensively evaluates the carbon sink performance of green spaces at each level, and analyzes the stability of the periodic green space carbon sink system of urban green spaces in combination with the green space carbon sink performance evaluation data at each level, and performs abnormal risk judgment based on the analysis data. The specific steps are as follows: S301. Based on the data of the target green space carbon storage area division, a periodic carbon sink analysis is performed on each carbon storage area, and the calculation formula is: ； Among them, CSI j is the periodic carbon sink intensity corresponding to the carbon storage region numbered j; RC j is the total carbon storage of the carbon storage area numbered j; S j is the horizontal area of ​​the carbon storage region numbered j; based on the periodic carbon sink intensity analysis data of each carbon storage region, the carbon sink intensity level of each carbon storage region is marked by calling the regional carbon sink intensity reference table; S302. Combined with the vegetation carbon storage data in each carbon storage area, a periodic carbon sink performance evaluation and analysis is performed on each carbon storage area. The calculation formula is: ； Among them, CSC j is the periodic carbon sink performance index of the carbon storage region corresponding to number j; D p (j) is the number of vegetation of type p in the carbon storage area of ​​corresponding number j; CF p is the carbon content of vegetation of corresponding type number p; G j is the horizontal soil area in the carbon storage area corresponding to number j; CF v (j) is the carbon content per unit area of ​​soil in the carbon storage area corresponding to number j; Af is the total horizontal area of ​​the target green space; p is the number of vegetation type numbers in the target green space; Combined with the periodic carbon sink performance index evaluation data of each carbon storage area in the target green space, a comprehensive analysis of the periodic carbon sink performance of the target green space within the period is conducted, and the calculation formula is: ； Among them, CSC f A is the comprehensive index of carbon sink performance of the corresponding target green space cycle; j is the horizontal area of ​​the carbon storage region corresponding to number j; R j is the level of the carbon storage region corresponding to number j; Based on the comprehensive analysis of the carbon sink performance of the target green space cycle, the stability analysis of the carbon sink performance of adjacent cycles was carried out, and the calculation formula is: ； Among them, CSS is the stability evaluation value of carbon sink performance of target green space period; CSC f (T) corresponds to the comprehensive index of carbon sink performance of the target green space in the current cycle; CSC f (T-1) corresponds to the comprehensive index of carbon sink performance of the target green space cycle in the current adjacent previous cycle; CSC f (hs) corresponds to the comprehensive index of the best period carbon sink performance of historical target green space; Based on the analysis data of the periodic carbon sink performance stability evaluation value of the target green space, the green space periodic carbon sink performance stability evaluation threshold CSS is introduced y , analyze the carbon sink performance stability of the target green space in the current cycle; if CSS>CSS y , then it is judged that the carbon sequestration performance stability of the target green land in the current period is abnormal, and the corresponding target green land has the risk of abnormal carbon sequestration; if CSS≤CSS y , it is judged that the carbon sequestration performance stability of the target green space in the current period is normal, and the corresponding target green space status is normal.

4. The method for evaluating abnormal fluctuations in urban green space carbon sink monitoring data according to claim 3 is characterized by: The specific steps of S400 updating and storing carbon sink analysis data of each green area in the city in the database, outputting the real-time analysis data to the display port, and issuing warnings for abnormal risks are as follows: S401, updating and storing the carbon sink analysis data of each green area in the city in a database; wherein the carbon sink analysis data includes green space periodic carbon storage change rate data, carbon storage area division analysis data, carbon storage area carbon sink intensity data, carbon area carbon sink performance evaluation data and stability evaluation data; S402. The carbon sink analysis data and the carbon sink performance stability status of each green space in the city are displayed and output through the monitoring display port, and the abnormal carbon sink risk is highlighted and warned for the green space with abnormal carbon sink stability.

5. A system for evaluating abnormal fluctuations in urban green space carbon sink monitoring data, using a method for evaluating abnormal fluctuations in urban green space carbon sink monitoring data as claimed in any one of claims 1 to 4, characterized in that: The system includes a green space information acquisition module, a model area construction module, a green space carbon sink assessment module and an assessment feedback module; The green space information acquisition module determines the geographical location information of the current urban green space area, retrieves the vegetation information of the corresponding urban green space area from the urban green space database; obtains the image data of the corresponding urban green space area, extracts the vegetation information of the real-time green space area based on the image data, and updates the database; the model area construction module performs grid processing on the image data, evaluates the periodic carbon storage change rate in combination with the carbon storage data of the corresponding grid green space area, and divides the green space area into carbon storage areas based on the evaluation data; the green space carbon sink evaluation module performs periodic carbon sink intensity analysis on each divided area according to the carbon storage area division data, and hierarchically labels the carbon storage division areas according to the analysis results; comprehensively evaluates the carbon sink performance of green spaces at each level, and performs periodic green space carbon sink system stability analysis on urban green spaces in combination with the carbon sink performance evaluation data of green spaces at each level, and makes abnormal risk judgments based on the analysis data; The evaluation feedback module updates and stores the carbon sink analysis data of each green area in the city in the database, outputs the real-time analysis data to the display port, and warns of abnormal risks.

6. The system for evaluating abnormal fluctuations in urban green space carbon sink monitoring data according to claim 5, characterized in that: The green space information acquisition module includes a green space information retrieval unit and a green space information update unit; The green space information retrieval unit determines the urban green space area as the monitoring target, obtains the urban positioning information of the corresponding green space; in the urban green space database, takes the current monitoring target green space positioning information as the index, and retrieves the vegetation information of the target green space in the database; The green space information updating unit obtains the real-time full-area image data of the target green space, and extracts the real-time vegetation distribution data of the target green space based on the image data; coordinates the extracted green space vegetation information and updates the vegetation information stored in the database.

7. The system for evaluating abnormal fluctuations in urban green space carbon sink monitoring data according to claim 6, characterized in that: The model region construction module includes a model construction unit and a carbon storage region division unit; The model building unit combines the urban target green space image data with the corresponding target green space vegetation extraction data to build a real scene model of the target green space; The carbon storage area division unit performs a spatial grid division process of the corresponding green space scene based on the target green space real scene model, and divides the vegetation distribution space in the green space scene into equal grids; respectively performs a periodic carbon storage change rate evaluation and analysis on the target green space area spatial division grids; based on the periodic carbon storage change rate evaluation and analysis data of each division grid in the target green space real scene model, regional fusion is performed on each adjacent grid; By setting the regional fusion restriction parameters, any grid area in the target green space real scene model is taken as the fusion starting point, its adjacent grids are traversed, and the fusion analysis and calculation of the fusion starting point grid and the adjacent grids are performed; The corresponding adjacent grids that meet the analysis and calculation requirements are meshed with the fusion starting grid to generate a fusion grid area, and the adjacent grid areas of the fusion area are traversed; the fusion analysis and calculation are performed on the fusion starting grid corresponding to the fusion area and the adjacent grids; The corresponding adjacent grids that meet the analysis and calculation are merged with the corresponding fusion area of ​​the fusion starting point grid, and the adjacent grids in the fusion area are traversed again until the adjacent grids in the fusion area do not meet the fusion analysis and calculation results. Then the traversal is stopped to complete the carbon storage area division.

8. The system for evaluating abnormal fluctuations in urban green space carbon sink monitoring data according to claim 7, characterized in that: The green space carbon sink assessment module includes a regional carbon sink intensity analysis unit and a green space comprehensive carbon sink assessment unit; The regional carbon sink intensity analysis unit performs periodic carbon sink analysis on each carbon storage area according to the target green space carbon storage area division data; based on the periodic carbon sink intensity analysis data of each carbon storage area, the regional carbon sink intensity reference table is retrieved to mark the carbon sink intensity level of each carbon storage area; The green space comprehensive carbon sink assessment unit combines the vegetation carbon storage data in each carbon storage area to conduct periodic carbon sink performance assessment and analysis on each carbon storage area; combines the periodic carbon sink performance index assessment data of each carbon storage area in the target green space to conduct a periodic carbon sink performance comprehensive analysis on the target green space within the period; and based on the comprehensive analysis on the periodic carbon sink performance of the target green space, conducts a carbon sink performance stability analysis on adjacent periods; Based on the analysis data of the target green space’s periodic carbon sink performance stability assessment value, by introducing the green space’s periodic carbon sink performance stability judgment threshold, the carbon sink performance stability analysis of the current period’s target green space is conducted, and the green space’s carbon sink abnormality risk judgment is made based on the analysis data.

9. The system for evaluating abnormal fluctuations in urban green space carbon sink monitoring data according to claim 8, characterized in that: The evaluation feedback module includes a database updating unit and an evaluation data feedback unit; The database updating unit updates and stores the carbon sink analysis data of each green space area in the city; wherein the carbon sink analysis data includes green space periodic carbon storage change rate data, carbon storage area division analysis data, carbon storage area carbon sink intensity data, carbon area carbon sink performance evaluation data and stability evaluation data; The evaluation data feedback unit displays and outputs the carbon sink analysis data and the carbon sink performance stability status of each green space in the city through a monitoring display port, and issues a warning of abnormal carbon sink risk for green spaces with abnormal carbon sink stability.

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