An intelligent monitoring and evaluation system and method for urban green space carbon sinks

Abstract

The present invention discloses an intelligent monitoring and evaluation system and method for carbon sinks in urban green spaces, which relate to the technical field of carbon sink evaluation. The monitoring and evaluation method comprises the following steps: constructing a carbon sink evaluation system to evaluate each carbon sink monitoring record; capturing the types of green space planting in the area monitored by each carbon sink monitoring record to obtain the carbon sink capacity of each planting type; extracting influencing factors affecting the comprehensive carbon sink capacity of the area; analyzing the differences in carbon sink capacity in different time periods to obtain the degree of influence of each influencing factor; obtaining the theoretical carbon sink situation of each area and generating a number of abnormal areas; based on the degree of influence of each influencing factor, issuing green space adjustment reminders to any abnormal area and giving adjustment suggestions; through effective analysis of the carbon sink capacity of each planting type, helping to accurately analyze the carbon sink situation in various areas of the city and helping staff to reasonably plan the city's green spaces.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon sink assessment, and in particular to an intelligent monitoring and assessment system and method for urban green space carbon sinks. Background Art

[0002] Carbon sequestration refers to the process, activity or mechanism of reducing the concentration of greenhouse gases in the atmosphere by absorbing carbon dioxide from the atmosphere through measures such as afforestation and vegetation restoration. Urban green space carbon sequestration refers to the ability of urban green spaces to absorb carbon dioxide and store carbon through plant photosynthesis. This process is of great significance for mitigating climate change, improving the urban environment and enhancing ecological quality. Field measurement is the most common means of monitoring the carbon sequestration capacity of green plants. Representative plots within the survey area are determined through plot surveys, and the types of green plants are recorded. Subsequently, biomass is measured using methods such as sampling and dry weight determination. Based on the different types of green plants, the biomass is converted into carbon sequestration to estimate the carbon sequestration capacity of green plants.

[0003] For urban green spaces, this method can provide detailed carbon sequestration capacity data, but the focus is often on the absolute value of the carbon sequestration capacity data. The carbon sequestration potential of regional green plant combinations is insufficiently explored, and the absolute value of the carbon sequestration capacity data usually cannot reflect the upper limit of the carbon sequestration capacity of regional green plant combinations. Therefore, there is an urgent need to provide a method that can intelligently monitor and evaluate the carbon sequestration capacity of urban green spaces, especially its theoretical upper limit, so as to make more efficient green space adjustments based on the carbon sequestration potential of regional green plant combinations. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent monitoring and evaluation system and method for urban green space carbon sinks to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an intelligent monitoring and evaluation method for urban green space carbon sinks, the monitoring and evaluation method comprising the following steps:

[0006] Step S100: a plurality of monitoring devices are installed in a city to regularly monitor the carbon sequestration conditions in various regions, and a plurality of carbon sequestration monitoring records are obtained for each region; a carbon sequestration assessment system is constructed to assess the comprehensive carbon sequestration capacity of each carbon sequestration monitoring record;

[0007] Step S200: capturing the green space planting types in the area monitored by each carbon sequestration monitoring record, and analyzing the carbon sequestration capacity of each planting type based on the carbon sequestration capacity differences and green space planting type differences between any two areas;

[0008] Step S300: arbitrarily selecting the carbon sequestration conditions of a region in different time periods, extracting the factors affecting the comprehensive carbon sequestration capacity of the region based on the changes in environmental conditions in the region; and obtaining the degree of influence of each factor on the carbon sequestration capacity of each crop type by analyzing the differences in carbon sequestration capacity between different time periods;

[0009] Step S400: According to the green space planting conditions in each area, the theoretical carbon sequestration conditions of each area are obtained, and based on the difference between the comprehensive carbon sequestration capacity of each area and the theoretical carbon sequestration conditions, several abnormal areas are generated; the carbon sequestration capacity of each planting type in any abnormal area is obtained, and based on the degree of influence of each influencing factor, green space adjustment reminders are issued to the said abnormal area, and adjustment suggestions are given.

[0010] Furthermore, step S100 includes the following steps:

[0011] Step S101: Acquire the monitoring range that each monitoring device can monitor, take any monitoring range as the regional range of a region, and generate several regions of a city; extract regional data of the corresponding region in a unit period from each monitoring device, and photograph the corresponding region to obtain a regional image, and generate a carbon sink monitoring record for the corresponding region; the regional data contains various data used to assess the regional carbon sink capacity and the environmental data of the region; the environmental data is used for subsequent analysis of the impact on the carbon sink capacity to ensure that the assessment of the carbon sink capacity can be more accurate; the photographed regional image can help identify the types of green space plantings in the region;

[0012] Step S102: Set corresponding evaluation rules for each monitoring dimension, evaluate the regional data recorded in any carbon sink monitoring record according to the evaluation rules, obtain the characteristic values ​​of each monitoring dimension in the carbon sink monitoring record, and accumulate the characteristic values ​​obtained by evaluating each monitoring dimension to obtain the comprehensive carbon sink capacity of the carbon sink monitoring record.

[0013] Furthermore, step S200 includes the following steps:

[0014] Step S201: arbitrarily selecting a carbon sink monitoring record, determining the area monitored by the carbon sink monitoring record; obtaining a regional image stored in the carbon sink monitoring record, performing feature extraction on the regional image, and obtaining a feature set of the regional image;

[0015] Step S202: Preset corresponding image datasets for different green space planting types, arbitrarily select a feature from the feature set, and perform similarity comparison between the feature and any image datasets. If the obtained similarity exceeds a set similarity threshold, the green space planting type corresponding to the image dataset is used as a characteristic green space of the area, thereby obtaining a characteristic green space set of the area.

[0016] Step S203: arbitrarily select a carbon sequestration monitoring record from each of the two regions, obtain the characteristic green space sets of the two carbon sequestration monitoring records, compare the characteristic green spaces in the two characteristic green space sets with each other, and obtain the difference green space set; arbitrarily select the dth type of difference green space from the difference green space set, and set the carbon sequestration capacity of the dth type of difference green space as TC d , determine the record to which the d-th type of differential green space belongs as k(d), where k(d)=i or k(d)=j; determining the records to which each type of differential green space belongs is actually determining the region where the differential green space is located, so that the reasons for the difference can be directly extracted when analyzing the carbon sequestration capacity difference between the two regions in the subsequent analysis, and the carbon sequestration capacity difference caused by each differential green space can be determined;

[0017] Step S204: Set the two selected carbon sink monitoring records to be the i-th carbon sink monitoring record and the j-th carbon sink monitoring record, and obtain the comprehensive carbon sink capacity of the i-th carbon sink monitoring record as TCSC i The comprehensive carbon sequestration capacity of the carbon sequestration monitoring record of the jth article is TCSC j ; According to the formula:

[0018] ;

[0019] Where r is the number of different green space planting types in the differential green space set, IF() is a judgment function, if k(d)=i, then IF[k(d)=i]=1, if k(d)=j, then IF[k(d)=i]=-1; the formula is calculated for any two carbon sequestration monitoring records in any different regions to determine the carbon sequestration capacity of any type of characteristic green space;

[0020] Although the comprehensive carbon sequestration capacity will be affected by various other factors, each planting type will also be affected. Therefore, the carbon sequestration capacity of each planting type includes the influence of various factors, and the influence of factors will be further analyzed later; and the carbon sequestration capacity difference between the two carbon sequestration monitoring records is directly reflected by the difference in carbon sequestration capacity of various types of differential green spaces. The formula is a reflection of the different carbon sequestration capacities provided by various types of differential green spaces to their respective regions, which leads to differences in carbon sequestration capacity.

[0021] Furthermore, step S300 includes the following steps:

[0022] Step S301: arbitrarily selecting two carbon sink monitoring records from any region, obtaining regional data for each of the two carbon sink monitoring records, extracting remaining data that has not been subjected to carbon sink capacity assessment from the regional data; extracting a number of environmental features from the remaining data to obtain environmental feature sets for each of the two carbon sink monitoring records; performing a difference comparison on the two environmental feature sets to obtain a number of influencing factors;

[0023] Step S302: arbitrarily select the p-th characteristic green land, and obtain the carbon sequestration capacity difference of the p-th characteristic green land in the two selected carbon sequestration monitoring records as ΔTC p ; According to the formula:

[0024] ;

[0025] Where p is a positive integer and p∈(1,w), w is the number of characteristic green space types, ΔTCSC is the difference in comprehensive carbon sequestration capacity between the two selected carbon sequestration monitoring records; the comprehensive impact degree Y of all influencing factors on the p-th type of characteristic green space is calculated. p The degree of impact of each influencing factor on each planting type is reflected by the change in the capacity of the remaining green spaces. The difference in the comprehensive carbon sequestration capacity between the two carbon sequestration monitoring records is determined. Therefore, the greater the change in the capacity of a characteristic green space, the greater the impact of the influencing factor on the characteristic green space.

[0026] Step S303: Set the influence degree of the qth influencing factor among the several influencing factors to z q , according to the formula:

[0027] ;

[0028] Among them, z ’ is a constant, u is the number of influencing factors; any two carbon sink monitoring records in the region are substituted into the formula based on the carbon sink capacity difference to determine the influence degree z of any influencing factor in the region q ; Constant z ’ It takes into account the influence of other factors that have not been taken into account, and helps to make the analysis results of the impact degree more accurate.

[0029] Furthermore, step S400 includes the following steps:

[0030] Step S401: arbitrarily obtain all characteristic green spaces in a region, where the carbon sequestration capacity of the p1th characteristic green space is set as TC p1 ; Obtain the influence degree of each influencing factor on the p1 type characteristic green space in the area, according to the formula:

[0031] ;

[0032] Among them, v1 is the number of characteristic green space types in the area, p2 is a positive integer and p2∈(1,v2), v2 is the number of influencing factors in the area, z p2 is the influence degree of the p2th influencing factor; the theoretical carbon sink capacity TCSC of the region is calculated ’ ; By evaluating the region, the comprehensive carbon sequestration capacity TCSC of the region is obtained, and a deviation ratio threshold δ is set. If |TCSC-TCSC ’ | / TCSC ’ >δ, the region is set as an abnormal region, otherwise, the region is set as a normal region;

[0033] In addition to the carbon sequestration capacity of the green space type itself and the influence of environmental factors, the green space's own buildings, such as street lights in park green spaces, and maintenance work, such as gasoline-powered lawn mowing, may also generate carbon emissions. At the same time, the quality of maintenance may also affect the carbon sequestration capacity of the green space. Therefore, the impact of these factors needs to be taken into account. If these factors have a significant impact on the carbon sequestration capacity of the green space, it means that the planting in the area is not reasonable and needs to be adjusted.

[0034] Step S402: randomly select an abnormal area and obtain the carbon sequestration capacity TC of any characteristic green space in the abnormal area. yc , sort all characteristic green spaces according to their values ​​from small to large, and obtain the green space adjustment order of the abnormal area;

[0035] Step S403: arbitrarily select a normal area, obtain environmental feature sets of two areas respectively, perform similarity comparison on the two environmental feature sets, set a similarity threshold, if there is a normal area with a similarity greater than the similarity threshold between the normal area and the abnormal area, select a normal area with the greatest similarity to the abnormal area and set it as a reference area for the abnormal area, sort the characteristic green spaces of the reference area from large to small according to carbon sequestration capacity, and sequentially extract a type of characteristic green space and compare it with any characteristic green space in the abnormal area, if there is no type of characteristic green space in the abnormal area, and the carbon sequestration capacity of the extracted characteristic green space is greater than the carbon sequestration capacity of the type of characteristic green space with the smallest value in the abnormal area, then mark the extracted characteristic green space as the target green space, and issue a green space adjustment reminder to the abnormal area;

[0036] Step S404: Obtain a set of influencing factors between the reference area and the abnormal area, select any one influencing factor from the set of influencing factors, and set the degree of influence of the influencing factor on the target green space in the reference area as z t , setting the carbon sequestration capacity of the target green land in the reference area as TC ex , according to the formula:

[0037] ;

[0038] Among them, e1 and e2 are positive integers, and e1∈(1,g), e2∈(1,g), g is the number of influencing factors in the influencing factor set, (z t ) e1 is the influence degree of the e1th influencing factor in the reference area, (z t ) e2 is the influence degree of the e2th influencing factor in the abnormal area, (TC yc ) min The carbon sequestration capacity with the minimum value in the abnormal area is calculated; the expected increase in carbon sequestration capacity after green space adjustment in the abnormal area is calculated as ΔTC add and the expected increase in carbon sequestration capacity ΔTC add Send to management;

[0039] Select an area with the closest environment. Analyzing the differences between the two areas can most directly reflect the cause of the regional anomaly. Adopt the green space with the best carbon sequestration capacity in the normal area and remove the green space with the worst carbon sequestration capacity in the abnormal area. This will most directly and quickly improve the carbon sequestration capacity of the abnormal area. Eliminate the influencing factors of the target green space in the normal area and add the influencing factors in the abnormal area. This will provide a more accurate prediction of carbon sequestration capacity, helping staff analyze the rationality of adjustment suggestions in advance.

[0040] Step S405: If all types of characteristic green spaces exist in the abnormal area, a green space expansion reminder is given to the abnormal area; or if there is no normal area and the similarity between the abnormal area and the normal area is greater than a similarity threshold, a green space expansion reminder is given to the abnormal area.

[0041] In order to better implement the above method, an urban green space carbon sink intelligent monitoring and evaluation system is also proposed. The monitoring and evaluation system includes a monitoring record analysis module, a green space carbon sink evaluation module, an influencing factor analysis module and a regional anomaly adjustment module.

[0042] The monitoring record analysis module is used to install several monitoring devices in a city to regularly monitor the carbon sink situation in various regions, obtain several carbon sink monitoring records in each region; and build a carbon sink assessment system to evaluate the comprehensive carbon sink capacity of each carbon sink monitoring record;

[0043] The green space carbon sink assessment module is used to capture the green space planting types in the area monitored by each carbon sink monitoring record. Based on the differences in carbon sink capacity and green space planting types between any two areas, the carbon sink capacity of each planting type is analyzed.

[0044] The influencing factor analysis module is used to arbitrarily select the carbon sequestration situation of a region in different time periods, and extract the influencing factors that affect the comprehensive carbon sequestration capacity of the region based on the changes in environmental conditions in the region; by analyzing the differences in carbon sequestration capacity between different time periods, the influence degree of each influencing factor on the carbon sequestration capacity of each planting type is obtained;

[0045] The regional abnormality adjustment module is used to obtain the theoretical carbon sequestration situation of each region based on the green space planting situation in each region, and generate several abnormal regions based on the difference between the comprehensive carbon sequestration capacity of each region and the theoretical carbon sequestration situation; obtain the carbon sequestration capacity of each planting type in any abnormal region, and based on the influence degree of each influencing factor, issue green space adjustment reminders for any abnormal region and provide adjustment suggestions.

[0046] Furthermore, the monitoring record analysis module includes a monitoring record generation unit and a regional carbon sink comprehensive assessment unit;

[0047] The monitoring record generation unit is used to install several monitoring devices in a city to regularly monitor the carbon sink conditions in various regions and obtain several carbon sink monitoring records in each region; the regional carbon sink comprehensive assessment unit is used to build a carbon sink assessment system to assess the comprehensive carbon sink capacity of each carbon sink monitoring record.

[0048] Furthermore, the green space carbon sink assessment module includes a green space planting species acquisition unit and a green space carbon sink assessment unit;

[0049] The green space planting type acquisition unit is used to capture the green space planting types existing in the area monitored by each carbon sink monitoring record; the green space carbon sink assessment unit is used to analyze the carbon sink capacity of each planting type based on the carbon sink capacity differences and green space planting type differences between any two areas.

[0050] Furthermore, the influencing factor analysis module includes an influencing factor extraction unit and an influence degree calculation unit;

[0051] The influencing factor extraction unit is used to arbitrarily select the carbon sequestration conditions of a region in different time periods, and extract the influencing factors that affect the comprehensive carbon sequestration capacity of the region based on the changes in environmental conditions in the region; the impact degree calculation unit is used to obtain the impact degree of each influencing factor on the carbon sequestration capacity of each planting type by analyzing the differences in carbon sequestration capacity between different time periods.

[0052] Furthermore, the regional anomaly adjustment module includes an abnormal region division unit and a green space adjustment suggestion unit;

[0053] The abnormal area division unit is used to obtain the theoretical carbon sequestration situation of each area based on the green space planting situation in each area, and generate several abnormal areas based on the difference between the comprehensive carbon sequestration capacity of each area and the theoretical carbon sequestration situation; the green space adjustment suggestion unit is used to obtain the carbon sequestration capacity of each planting type in any abnormal area, and based on the influence degree of each influencing factor, provide green space adjustment reminders for any abnormal area and give adjustment suggestions.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] 1. This invention effectively analyzes the carbon sequestration capacity of various types of plants, helps to accurately analyze the carbon sequestration situation in various areas of the city, helps staff have a clear understanding of the city's carbon sequestration situation, and helps staff to reasonably plan the city's green space;

[0056] 2. This invention helps staff understand the carbon sequestration capacity of various planting types in different areas by analyzing the differences in carbon sequestration capacity between different areas. This helps staff have an accurate understanding of the rationality of green space planting in each area and reduces the occurrence of low carbon sequestration capacity in each area.

[0057] 3. The present invention identifies areas where carbon emissions and carbon sinks are unbalanced and helps staff provide reasonable adjustment suggestions, which can improve the city's overall carbon sink capacity, avoid the decline in environmental quality in some areas, and promote the comprehensive development of the entire city. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 A schematic diagram of the steps of an intelligent monitoring and assessment method for urban green space carbon sequestration;

[0059] Figure 2 This is a structural diagram of an intelligent monitoring and evaluation system for urban green space carbon sinks. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0061] Example: Figures 1 to 2 As shown, the present invention provides an intelligent monitoring and evaluation method for urban green space carbon sinks, which includes the following steps:

[0062] Step S100: a plurality of monitoring devices are installed in a city to regularly monitor the carbon sequestration conditions in various regions, and a plurality of carbon sequestration monitoring records are obtained for each region; a carbon sequestration assessment system is constructed to assess the comprehensive carbon sequestration capacity of each carbon sequestration monitoring record;

[0063] Wherein, step S100 includes the following steps:

[0064] Step S101: Obtain the monitoring range that each monitoring device can monitor, take any monitoring range as the regional range of a region, and generate multiple regions of a city; extract regional data of the corresponding region in a unit period from each monitoring device, and photograph the corresponding region to obtain a regional image, thereby generating a carbon sink monitoring record for the corresponding region;

[0065] Step S102: Set corresponding evaluation rules for each monitoring dimension, evaluate the regional data recorded in any carbon sink monitoring record according to the evaluation rules, obtain the characteristic values ​​of each monitoring dimension in the carbon sink monitoring record, and accumulate the characteristic values ​​obtained by evaluating each monitoring dimension to obtain the comprehensive carbon sink capacity of the carbon sink monitoring record.

[0066] Step S200: capturing the green space planting types in the area monitored by each carbon sequestration monitoring record, and analyzing the carbon sequestration capacity of each planting type based on the carbon sequestration capacity differences and green space planting type differences between any two areas;

[0067] Wherein, step S200 includes the following steps:

[0068] Step S201: arbitrarily selecting a carbon sink monitoring record, determining the area monitored by the carbon sink monitoring record; obtaining a regional image stored in the carbon sink monitoring record, performing feature extraction on the regional image, and obtaining a feature set of the regional image;

[0069] Step S202: Preset corresponding image datasets for different green space planting types, arbitrarily select a feature from the feature set, and perform similarity comparison between the feature and any image datasets. If the obtained similarity exceeds a set similarity threshold, the green space planting type corresponding to the image dataset is used as a characteristic green space of the area, thereby obtaining a characteristic green space set of the area.

[0070] Step S203: arbitrarily select a carbon sequestration monitoring record from each of the two regions, obtain the characteristic green space sets of the two carbon sequestration monitoring records, compare the characteristic green spaces in the two characteristic green space sets with each other, and obtain the difference green space set; arbitrarily select the dth type of difference green space from the difference green space set, and set the carbon sequestration capacity of the dth type of difference green space as TC d, determine the record of the d-th type of differential green space as k(d), where k(d)=i or k(d)=j;

[0071] Step S204: Set the two selected carbon sink monitoring records to be the i-th carbon sink monitoring record and the j-th carbon sink monitoring record, and obtain the comprehensive carbon sink capacity of the i-th carbon sink monitoring record as TCSC i The comprehensive carbon sequestration capacity of the carbon sequestration monitoring record of the jth article is TCSC j ; According to the formula:

[0072] ;

[0073] Where r is the number of different green space planting types in the differential green space set, IF() is a judgment function, if k(d)=i, then IF[k(d)=i]=1, if k(d)=j, then IF[k(d)=i]=-1; the formula is calculated for any two carbon sequestration monitoring records in any different regions to determine the carbon sequestration capacity of any type of characteristic green space;

[0074] Example 1: Assume that the comprehensive carbon sequestration capacity of region A is 1400, and the comprehensive carbon sequestration capacity of region B is 1500, and the common green spaces of region A and region B are Green Space 1, the unique green spaces of region A are Green Space 2 and Green Space 3, and the unique green spaces of region B are Green Space 4 and Green Space 5; the equation obtained is 100=TC2+TC3-(TC4+TC5); and so on, according to the difference in green space and comprehensive carbon sequestration capacity between region A and region C, the equation obtained is 600=TC2+TC3-TC4, and TC5=500 can be obtained; by constructing a group of equations through the differences between different regions, the carbon sequestration capacity of any type of characteristic green space can be obtained.

[0075] Step S300: arbitrarily selecting the carbon sequestration conditions of a region in different time periods, extracting the factors affecting the comprehensive carbon sequestration capacity of the region based on the changes in environmental conditions in the region; and obtaining the degree of influence of each factor on the carbon sequestration capacity of each crop type by analyzing the differences in carbon sequestration capacity between different time periods;

[0076] Wherein, step S300 includes the following steps:

[0077] Step S301: arbitrarily selecting two carbon sink monitoring records from any region, obtaining regional data for each of the two carbon sink monitoring records, extracting remaining data that has not been subjected to carbon sink capacity assessment from the regional data; extracting a number of environmental features from the remaining data to obtain environmental feature sets for each of the two carbon sink monitoring records; performing a difference comparison on the two environmental feature sets to obtain a number of influencing factors;

[0078] Step S302: arbitrarily select the p-th characteristic green land, and obtain the carbon sequestration capacity difference of the p-th characteristic green land in the two selected carbon sequestration monitoring records as ΔTC p ; According to the formula:

[0079] ;

[0080] Where p is a positive integer and p∈(1,w), w is the number of characteristic green space types, ΔTCSC is the difference in comprehensive carbon sequestration capacity between the two selected carbon sequestration monitoring records; the comprehensive impact degree Y of all influencing factors on the p-th type of characteristic green space is calculated. p ;

[0081] Example 2: Assuming that the carbon sequestration capacity differences of the three types of characteristic green spaces are 50, 150, and 100, respectively, and the comprehensive carbon sequestration capacity difference is 500, the comprehensive impact of all influencing factors on the first type of characteristic green space is (50 / 500) / (50 / 500+150 / 500+100 / 500)=0.1667;

[0082] Step S303: Set the influence degree of the qth influencing factor among the several influencing factors to z q , according to the formula:

[0083] ;

[0084] in, is a constant, u is the number of influencing factors; any two carbon sink monitoring records in the region are substituted into the formula based on the carbon sink capacity difference to determine the influence degree z of any influencing factor in the region q .

[0085] Example 3: Select three carbon sink monitoring records in the area, set the influencing factor set between record a and record b to include factor 1 and factor 2, set the influencing factor set between record a and record c to include factor 1 and factor 3, and set the influencing factor set between record b and record c to include factor 2 and factor 3; based on the carbon sink capacity difference between any two carbon sink monitoring records of the p-th type characteristic green space, the comprehensive impact levels are obtained to be 0.16, 0.15, and 0.17 respectively; therefore, the equation group is established as 0.16=z ’ +z1+z2,0.15=z ’ +z1+z3,0.17=z ’ +z2+z3, we get z1=0.07, z2=0.09, z3=0.08, and z ’ =0.

[0086] Step S400: Based on the green space planting conditions in each area, the theoretical carbon sequestration conditions of each area are obtained. Based on the difference between the comprehensive carbon sequestration capacity of each area and the theoretical carbon sequestration conditions, several abnormal areas are generated. The carbon sequestration capacity of each planting type in any abnormal area is obtained. Based on the influence of various influencing factors, green space adjustment reminders are issued for any abnormal area, and adjustment suggestions are given.

[0087] Step S400 includes the following steps:

[0088] Step S401: arbitrarily obtain all characteristic green spaces in a region, where the carbon sequestration capacity of the p1th characteristic green space is set as TC p1 ; Obtain the influence degree of each influencing factor on the p1 type characteristic green space in the area, according to the formula:

[0089] ;

[0090] Among them, v1 is the number of characteristic green space types in the area, p2 is a positive integer and p2∈(1,v2), v2 is the number of influencing factors in the area, z p2 is the influence degree of the p2th influencing factor; the theoretical carbon sink capacity TCSC of the region is calculated ’ ; By evaluating the region, the comprehensive carbon sequestration capacity TCSC of the region is obtained, and a deviation ratio threshold δ is set. If |TCSC-TCSC ’ | / TCSC ’ >δ, the region is set as an abnormal region, otherwise, the region is set as a normal region;

[0091] Step S402: randomly select an abnormal area and obtain the carbon sequestration capacity TC of any characteristic green space in the abnormal area. yc , sort all characteristic green spaces according to their values ​​from small to large, and obtain the green space adjustment order of the abnormal area;

[0092] Step S403: arbitrarily select a normal area, obtain environmental feature sets of two areas respectively, perform similarity comparison on the two environmental feature sets, set a similarity threshold, if there is a normal area with a similarity greater than the similarity threshold between the normal area and the abnormal area, select a normal area with the greatest similarity to the abnormal area and set it as a reference area for the abnormal area, sort the characteristic green spaces of the reference area from large to small according to carbon sequestration capacity, and sequentially extract a type of characteristic green space and compare it with any characteristic green space in the abnormal area, if there is no type of characteristic green space in the abnormal area, and the carbon sequestration capacity of the extracted characteristic green space is greater than the carbon sequestration capacity of the type of characteristic green space with the smallest value in the abnormal area, then mark the extracted characteristic green space as the target green space, and issue a green space adjustment reminder to the abnormal area;

[0093] Step S404: Obtain a set of influencing factors between the reference area and the abnormal area, select any one influencing factor from the set of influencing factors, and set the degree of influence of the influencing factor on the target green space in the reference area as z t , setting the carbon sequestration capacity of the target green land in the reference area as TC ex , according to the formula:

[0094] ;

[0095] Among them, e1 and e2 are positive integers, and e1∈(1,g), e2∈(1,g), g is the number of influencing factors in the influencing factor set, (z t ) e1 is the influence degree of the e1th influencing factor in the reference area, (z t ) e2 is the influence degree of the e2th influencing factor in the abnormal area, (TC yc ) min The carbon sequestration capacity with the minimum value in the abnormal area is calculated; the expected increase in carbon sequestration capacity after green space adjustment in the abnormal area is calculated as ΔTC add and the expected increase in carbon sequestration capacity ΔTC add Send to management;

[0096] Step S405: If all types of characteristic green spaces exist in the abnormal area, a green space expansion reminder is given to the abnormal area; or if there is no normal area and the similarity between the abnormal area and the normal area is greater than a similarity threshold, a green space expansion reminder is given to the abnormal area.

[0097] An intelligent monitoring and evaluation system for urban green space carbon sinks, comprising a monitoring record analysis module, a green space carbon sink evaluation module, an influencing factor analysis module, and a regional anomaly adjustment module;

[0098] The monitoring record analysis module is used to install several monitoring devices in a city to regularly monitor the carbon sink situation in various regions, obtain several carbon sink monitoring records in each region; and build a carbon sink assessment system to evaluate the comprehensive carbon sink capacity of each carbon sink monitoring record;

[0099] The green space carbon sink assessment module is used to capture the green space planting types in the area monitored by each carbon sink monitoring record. Based on the differences in carbon sink capacity and green space planting types between any two areas, the carbon sink capacity of each planting type is analyzed.

[0100] The influencing factor analysis module is used to arbitrarily select the carbon sequestration situation of a region in different time periods, and extract the influencing factors that affect the comprehensive carbon sequestration capacity of the region based on the changes in environmental conditions in the region; by analyzing the differences in carbon sequestration capacity between different time periods, the influence degree of each influencing factor on the carbon sequestration capacity of each planting type is obtained;

[0101] The regional abnormality adjustment module is used to obtain the theoretical carbon sequestration situation of each region based on the green space planting situation in each region, and generate several abnormal regions based on the difference between the comprehensive carbon sequestration capacity of each region and the theoretical carbon sequestration situation; obtain the carbon sequestration capacity of each planting type in any abnormal region, and based on the influence degree of each influencing factor, issue green space adjustment reminders for any abnormal region and provide adjustment suggestions.

[0102] Among them, the monitoring record analysis module includes a monitoring record generation unit and a regional carbon sink comprehensive assessment unit;

[0103] The monitoring record generation unit is used to install several monitoring devices in a city to regularly monitor the carbon sink conditions in various regions and obtain several carbon sink monitoring records in each region; the regional carbon sink comprehensive assessment unit is used to build a carbon sink assessment system to assess the comprehensive carbon sink capacity of each carbon sink monitoring record.

[0104] Among them, the green space carbon sink assessment module includes the green space planting type acquisition unit and the green space carbon sink assessment unit;

[0105] The green space planting type acquisition unit is used to capture the green space planting types existing in the area monitored by each carbon sink monitoring record; the green space carbon sink assessment unit is used to analyze the carbon sink capacity of each planting type based on the carbon sink capacity differences and green space planting type differences between any two areas.

[0106] Among them, the influencing factor analysis module includes an influencing factor extraction unit and an influence degree calculation unit;

[0107] The influencing factor extraction unit is used to arbitrarily select the carbon sequestration conditions of a region in different time periods, and extract the influencing factors that affect the comprehensive carbon sequestration capacity of the region based on the changes in environmental conditions in the region; the impact degree calculation unit is used to obtain the impact degree of each influencing factor on the carbon sequestration capacity of each planting type by analyzing the differences in carbon sequestration capacity between different time periods.

[0108] Among them, the regional abnormality adjustment module includes an abnormal area division unit and a green space adjustment suggestion unit;

[0109] The abnormal area division unit is used to obtain the theoretical carbon sequestration situation of each area based on the green space planting situation in each area, and generate several abnormal areas based on the difference between the comprehensive carbon sequestration capacity of each area and the theoretical carbon sequestration situation; the green space adjustment suggestion unit is used to obtain the carbon sequestration capacity of each planting type in any abnormal area, and based on the influence degree of each influencing factor, provide green space adjustment reminders for any abnormal area and give adjustment suggestions.

[0110] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. A method for intelligent monitoring and assessment of urban green space carbon sinks, characterized by: The monitoring and evaluation method comprises the following steps: Step S100: a plurality of monitoring devices are installed in a city to regularly monitor the carbon sequestration conditions in various regions, and a plurality of carbon sequestration monitoring records are obtained for each region; a carbon sequestration assessment system is constructed to assess the comprehensive carbon sequestration capacity of each carbon sequestration monitoring record; Step S200: capturing the green space planting types in the area monitored by each carbon sequestration monitoring record, and analyzing the carbon sequestration capacity of each planting type based on the carbon sequestration capacity differences and green space planting type differences between any two areas; Step S300: arbitrarily selecting the carbon sequestration conditions of a region in different time periods, extracting the factors affecting the comprehensive carbon sequestration capacity of the region based on the changes in environmental conditions in the region; and obtaining the degree of influence of each factor on the carbon sequestration capacity of each crop type by analyzing the differences in carbon sequestration capacity between different time periods; Step S400: Based on the green space planting conditions in each area, the theoretical carbon sequestration conditions of each area are obtained. Based on the difference between the comprehensive carbon sequestration capacity of each area and the theoretical carbon sequestration conditions, several abnormal areas are generated. The carbon sequestration capacity of each planting type in any abnormal area is obtained. Based on the influence of various influencing factors, green space adjustment reminders are issued for any abnormal area, and adjustment suggestions are given. The step S300 includes the following steps: Step S301: arbitrarily selecting two carbon sink monitoring records from any region, obtaining regional data for each of the two carbon sink monitoring records, extracting remaining data that has not been subjected to carbon sink capacity assessment from the regional data; extracting a number of environmental features from the remaining data to obtain environmental feature sets for each of the two carbon sink monitoring records; performing a difference comparison on the two environmental feature sets to obtain a number of influencing factors; Step S302: arbitrarily select the p-th characteristic green land, and obtain the carbon sequestration capacity difference of the p-th characteristic green land in the two selected carbon sequestration monitoring records as ΔTC p ; According to the formula: ； Where p is a positive integer and p∈(1,w), w is the number of characteristic green space types, ΔTCSC is the difference in comprehensive carbon sequestration capacity between the two selected carbon sequestration monitoring records; the comprehensive impact degree Y of all influencing factors on the p-th type of characteristic green space is calculated. p ; Step S303: Set the influence degree of the qth influencing factor among the several influencing factors to z q , according to the formula: ； in, is a constant, u is the number of influencing factors; any two carbon sink monitoring records in the region are substituted into the formula based on the carbon sink capacity difference to determine the influence degree z of any influencing factor in the region q ; The step S400 includes the following steps: Step S401: arbitrarily obtain all characteristic green spaces in a region, where the carbon sequestration capacity of the p1th characteristic green space is set as TC p1 ; Obtain the influence degree of each influencing factor on the p1 type characteristic green space in the area, according to the formula: ； Among them, v1 is the number of characteristic green space types in the area, p2 is a positive integer and p2∈(1,v2), v2 is the number of influencing factors in the area, z p2 is the influence degree of the p2th influencing factor; the theoretical carbon sink capacity TCSC of the region is calculated ’ ; By evaluating the region, the comprehensive carbon sequestration capacity TCSC of the region is obtained, and a deviation ratio threshold δ is set. If |TCSC-TCSC ’ | / TCSC ’ >δ, the region is set as an abnormal region; otherwise, the region is set as a normal region.

2. The method for intelligent monitoring and assessment of urban green space carbon sinks according to claim 1, characterized in that: The step S100 includes the following steps: Step S101: Obtain the monitoring range that each monitoring device can monitor, take any monitoring range as the regional range of a region, and generate multiple regions of a city; extract regional data of the corresponding region in a unit period from each monitoring device, and photograph the corresponding region to obtain a regional image, thereby generating a carbon sink monitoring record for the corresponding region; Step S102: Set corresponding evaluation rules for each monitoring dimension, evaluate the regional data recorded in any carbon sink monitoring record according to the evaluation rules, obtain the characteristic values ​​of each monitoring dimension in the carbon sink monitoring record, and accumulate the characteristic values ​​obtained by evaluating each monitoring dimension to obtain the comprehensive carbon sink capacity of the carbon sink monitoring record.

3. The method for intelligent monitoring and assessment of urban green space carbon sinks according to claim 2, characterized in that: The step S200 includes the following steps: Step S201: arbitrarily selecting a carbon sink monitoring record, determining the area monitored by the carbon sink monitoring record; obtaining a regional image stored in the carbon sink monitoring record, performing feature extraction on the regional image, and obtaining a feature set of the regional image; Step S202: Preset corresponding image datasets for different green space planting types, arbitrarily select a feature from the feature set, and perform similarity comparison between the feature and any image datasets. If the obtained similarity exceeds a set similarity threshold, the green space planting type corresponding to the image dataset is used as a characteristic green space of the area, thereby obtaining a characteristic green space set of the area. Step S203: arbitrarily select a carbon sequestration monitoring record from each of the two regions, obtain the characteristic green space sets of the two carbon sequestration monitoring records, compare the characteristic green spaces in the two characteristic green space sets with each other, and obtain the difference green space set; arbitrarily select the dth type of difference green space from the difference green space set, and set the carbon sequestration capacity of the dth type of difference green space as TC d , determine the record of the d-th type of differential green space as k(d), where k(d)=i or k(d)=j; Step S204: Set the two selected carbon sink monitoring records to be the i-th carbon sink monitoring record and the j-th carbon sink monitoring record, and obtain the comprehensive carbon sink capacity of the i-th carbon sink monitoring record as TCSC i The comprehensive carbon sequestration capacity of the carbon sequestration monitoring record of the jth article is TCSC j ; According to the formula: ； Among them, r is the number of different green space planting types in the differential green space set, IF() is the judgment function, if k(d)=i, then IF[k(d)=i]=1, if k(d)=j, then IF[k(d)=i]=-1; the formula is calculated for any two carbon sink monitoring records in any different regions to determine the carbon sink capacity of any type of characteristic green space.

4. The method for intelligent monitoring and assessment of urban green space carbon sinks according to claim 3, characterized in that: The step S400 further includes the following steps: Step S402: randomly select an abnormal area and obtain the carbon sequestration capacity TC of any characteristic green space in the abnormal area. yc , sort all characteristic green spaces according to their values ​​from small to large, and obtain the green space adjustment order of the abnormal area; Step S403: arbitrarily select a normal area, obtain environmental feature sets of two areas respectively, perform similarity comparison on the two environmental feature sets, set a similarity threshold, if there is a normal area with a similarity greater than the similarity threshold between the normal area and the abnormal area, select a normal area with the greatest similarity to the abnormal area and set it as a reference area for the abnormal area, sort the characteristic green spaces of the reference area from large to small according to carbon sequestration capacity, and sequentially extract a type of characteristic green space and compare it with any characteristic green space in the abnormal area, if there is no type of characteristic green space in the abnormal area, and the carbon sequestration capacity of the extracted characteristic green space is greater than the carbon sequestration capacity of the type of characteristic green space with the smallest value in the abnormal area, then mark the extracted characteristic green space as the target green space, and issue a green space adjustment reminder to the abnormal area; Step S404: Obtain a set of influencing factors between the reference area and the abnormal area, select any one influencing factor from the set of influencing factors, and set the degree of influence of the influencing factor on the target green space in the reference area as z t , setting the carbon sequestration capacity of the target green land in the reference area as TC ex , according to the formula: ； Among them, e1 and e2 are positive integers, and e1∈(1,g), e2∈(1,g), g is the number of influencing factors in the influencing factor set, (z t ) e1 is the influence degree of the e1th influencing factor in the reference area, (z t ) e2 is the influence degree of the e2th influencing factor in the abnormal area, (TC yc ) min The carbon sequestration capacity with the minimum value in the abnormal area is calculated; the expected increase in carbon sequestration capacity after green space adjustment in the abnormal area is calculated as ΔTC add and the expected increase in carbon sequestration capacity ΔTC add Send to management; Step S405: If all types of characteristic green spaces exist in the abnormal area, a green space expansion reminder is given to the abnormal area; or if there is no normal area and the similarity between the abnormal area and the normal area is greater than a similarity threshold, a green space expansion reminder is given to the abnormal area.

5. An urban green space carbon sink intelligent monitoring and assessment system, configured to implement an urban green space carbon sink intelligent monitoring and assessment method according to any one of claims 1 to 4, characterized in that: The monitoring and evaluation system includes a monitoring record analysis module, a green space carbon sink evaluation module, an influencing factor analysis module and a regional anomaly adjustment module; The monitoring record analysis module is used to install several monitoring devices in a city to regularly monitor the carbon sequestration situation in various areas, obtain several carbon sequestration monitoring records in each area; and build a carbon sequestration assessment system to assess the comprehensive carbon sequestration capacity of each carbon sequestration monitoring record; The green space carbon sequestration assessment module is used to capture the green space planting types in the area monitored by each carbon sequestration monitoring record, and analyze the carbon sequestration capacity of each planting type based on the carbon sequestration capacity differences and green space planting type differences between any two areas; The influencing factor analysis module is used to arbitrarily select the carbon sequestration situation of a region in different time periods, and extract the influencing factors that affect the comprehensive carbon sequestration capacity of the region based on the changes in environmental conditions in the region; by analyzing the differences in carbon sequestration capacity between different time periods, the influence degree of each influencing factor on the carbon sequestration capacity of each planting type is obtained; The regional abnormality adjustment module is used to obtain the theoretical carbon sequestration situation of each region based on the green space planting situation in each region, and generate several abnormal regions based on the difference between the comprehensive carbon sequestration capacity of each region and the theoretical carbon sequestration situation; obtain the carbon sequestration capacity of each planting type in any abnormal region, and based on the influence degree of each influencing factor, provide green space adjustment reminders for any abnormal region and give adjustment suggestions.

6. The urban green space carbon sink intelligent monitoring and assessment system according to claim 5 is characterized by: The monitoring record analysis module includes a monitoring record generation unit and a regional carbon sink comprehensive assessment unit; The monitoring record generation unit is used to install several monitoring devices in a city to regularly monitor the carbon sink conditions in various regions and obtain several carbon sink monitoring records for each region; the regional carbon sink comprehensive assessment unit is used to construct a carbon sink assessment system to assess the comprehensive carbon sink capacity of each carbon sink monitoring record.

7. The urban green space carbon sink intelligent monitoring and assessment system according to claim 5 is characterized by: The green space carbon sink assessment module includes a green space planting type acquisition unit and a green space carbon sink assessment unit; The green space planting type acquisition unit is used to capture the green space planting types existing in the area monitored by each carbon sink monitoring record; the green space carbon sink assessment unit is used to analyze and obtain the carbon sink capacity of each planting type based on the carbon sink capacity differences and green space planting type differences between any two areas.

8. The urban green space carbon sink intelligent monitoring and assessment system according to claim 5 is characterized by: The influencing factor analysis module includes an influencing factor extraction unit and an influence degree calculation unit; The influencing factor extraction unit is used to arbitrarily select the carbon sequestration conditions of a region in different time periods, and extract the influencing factors that affect the comprehensive carbon sequestration capacity of the region based on the changes in environmental conditions in the region; the impact degree calculation unit is used to obtain the impact degree of each influencing factor on the carbon sequestration capacity of each planting type by analyzing the differences in carbon sequestration capacity between different time periods.

9. The urban green space carbon sink intelligent monitoring and assessment system according to claim 5, characterized in that: The region abnormality adjustment module includes an abnormal region division unit and a green space adjustment suggestion unit; The abnormal area division unit is used to obtain the theoretical carbon sequestration situation of each area based on the green space planting situation in each area, and generate several abnormal areas based on the difference between the comprehensive carbon sequestration capacity of each area and the theoretical carbon sequestration situation; the green space adjustment suggestion unit is used to obtain the carbon sequestration capacity of each planting type in any abnormal area, and based on the influence degree of each influencing factor, provide green space adjustment reminders for any abnormal area and give adjustment suggestions.

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