Vegetation planning method, device and equipment based on heavy metal pollution area and medium

Abstract

The invention discloses a vegetation planning method and device based on a heavy metal pollution area, equipment and a medium. The method comprises the steps that a target project located in a target area is constructed based on the BIM technology and the three-dimensional GIS technology; obtaining a plurality of available vegetation BIM models, wherein available vegetation corresponding to any BIM model has tolerance vectors, enrichment capability vectors, landscape attributes and ecological niche parameters corresponding to each heavy metal type; selecting target vegetation from available vegetation based on landscape configuration requirements, geographic information of each pollution area of the target area and heavy metal parameters, and simulating and constructing a target planning scheme based on a BIM model corresponding to the target vegetation; and generating a simulated vegetation BIM model corresponding to the target planning scheme in the target project. According to the method, after the landscape configuration requirement is determined, the vegetation planning scheme is automatically constructed in combination with the geographic information and the heavy metal parameters of each pollution area of the target area and the vegetation BIM model library, and compared with a manual planning scheme, the planning efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of soil protection, and particularly relates to a vegetation planning method and device based on a heavy metal pollution area, equipment and a medium. BACKGROUND

[0002] The economic development of coastal areas greatly promotes the process of urbanization, accelerates the pace of urban development, and also brings many complex ecological problems to river areas, such as heavy metal pollution. The existing river restoration method is usually to artificially survey the topography of the polluted river, to give the survey results to experts for planting scheme evaluation, and then to plant vegetation with potential heavy metal enrichment capacity in the polluted area according to the planting scheme. However, in the case that the number of vegetation with potential heavy metal enrichment capacity is large, the planning efficiency is low. SUMMARY

[0003] The embodiments of the present application provide a vegetation planning method and device based on a heavy metal pollution area, equipment and a medium, which can effectively improve the vegetation planning efficiency of the heavy metal pollution river.

[0004] In a first aspect, the embodiments of the present application provide a vegetation planning method based on a heavy metal pollution area, comprising: constructing a target project based on BIM technology and three-dimensional GIS technology, the target project being located in a pollution map of a target area, wherein the pollution map comprises a plurality of pollution areas, each of the pollution areas corresponding to a heavy metal parameter and geographical information, and the heavy metal parameter comprising a heavy metal type and a heavy metal concentration; obtaining a target vegetation BIM model library, wherein the target vegetation BIM model library comprises a plurality of available vegetation BIM models, any of the available vegetation BIM models corresponding to an available vegetation corresponding to a tolerance vector, an enrichment capacity vector, a landscape attribute and a niche parameter of each of the heavy metal types, and each of the available vegetation being a vegetation allowed to be planted in the target area; determining a landscape configuration requirement of the target area, selecting a target vegetation from all of the available vegetation based on the geographical information of each of the pollution areas, the heavy metal parameter and the landscape configuration requirement, and simulating and constructing a target planning scheme based on a target BIM model corresponding to the target vegetation; generating a simulated vegetation BIM model corresponding to the target planning scheme in the target project, the simulated vegetation BIM model at least comprising one of the target BIM models.

[0005] In some embodiments, selecting a target vegetation from all of the available vegetation based on the geographical information of each of the pollution areas, the heavy metal parameter and the landscape configuration requirement comprises: For any of the available vegetation, the corresponding tolerance vector, the enrichment capacity vector and the niche parameter and the geographical information of each of the pollution areas and the heavy metal parameter are input into a pre-trained ecological restoration model to obtain a first matching degree of the available vegetation in each of the pollution areas, wherein the higher the numerical value of the first matching degree, the higher the survival rate and the heavy metal enrichment capacity of the available vegetation in the corresponding pollution area; For any of the pollution areas, a plurality of candidate vegetation are selected from all of the available vegetation based on the first matching degree, wherein the candidate vegetation corresponding to the first matching degree is greater than a first matching degree threshold; Based on the landscape attribute and the landscape configuration requirement of each of the candidate vegetation, the target vegetation is determined from the candidate vegetation.

[0006] In some embodiments, the landscape configuration requirement includes seasonal flower viewing requirement, color requirement and space requirement, and based on the landscape attribute and the landscape configuration requirement of each of the candidate vegetation, the target vegetation is determined from the candidate vegetation, including: Based on each of the landscape attribute, a configuration landscape label of the corresponding candidate vegetation is assigned, wherein the landscape label includes tree shape, flower color and flower viewing season; A corresponding weight is assigned to the seasonal flower viewing requirement, the color requirement and the space requirement, respectively; Based on the seasonal flower viewing requirement, the color requirement, the space requirement and each of the landscape label, a second matching degree of each of the candidate vegetation corresponding to each of the pollution areas is calculated, wherein the second matching degree is used to indicate the landscape matching degree of planting the candidate vegetation in the pollution area; For each of the candidate vegetation corresponding to each of the pollution areas, a target matching degree is calculated based on the corresponding first matching degree and the second matching degree; Among the candidate vegetation corresponding to each of the pollution areas, the candidate vegetation with the highest target matching degree is determined as the target vegetation.

[0007] In some embodiments, determining the landscape configuration requirement of the target area includes: Displaying a plurality of reference fields corresponding to different types of landscape configuration types in a configuration interface; Determining the landscape configuration type corresponding to the target field selected by the user from the plurality of reference fields as the landscape configuration requirement.

[0008] In some embodiments, for any of the available vegetation, the corresponding tolerance vector, the enrichment capacity vector and the niche parameter and the geographical information of each of the pollution areas and the heavy metal parameter are input into a pre-trained ecological restoration model to obtain a first matching degree of the available vegetation in each of the pollution areas, including: Based on the tolerance vector, the enrichment capacity vector and the niche parameter of any of the available vegetation and the geographical information of each of the pollution areas and the heavy metal concentration, heavy metal toxicity index, a restoration efficiency score is calculated, wherein the restoration efficiency score is used to indicate the restoration ability score of any of the available vegetation to any of the pollution areas; Based on the semi-lethal concentration of the heavy metal type, the steepness parameter of any of the available vegetation for any of the pollution areas and the heavy metal concentration of the corresponding heavy metal type in any of the pollution areas, a tolerance score is calculated, wherein the tolerance score is used to indicate the survival rate score of any of the available vegetation in any of the pollution areas; Based on the niche parameter of any of the available vegetation and the geographical information of any of the pollution areas, an ecological suitability score is calculated, wherein the ecological suitability score is used to indicate the matching degree of any of the available vegetation and any of the pollution areas in natural environmental conditions; The restoration efficiency score is assigned a first weight, the tolerance score is assigned a second weight, and the ecological suitability score is assigned a third weight; The first weight is multiplied by the restoration efficiency score to obtain a first product, the second weight is multiplied by the tolerance score to obtain a second product, and the third weight is multiplied by the ecological suitability score to obtain a third product; The first product, the second product and the third product are summed to obtain the first matching degree.

[0009] In some embodiments, based on the seasonal flower viewing demand, the color demand, the space demand and each of the landscape labels, a second matching degree of each of the candidate vegetation corresponding to each of the pollution areas is calculated, including: Based on the seasonal flower viewing demand, the color demand and the space demand, a first sub-demand, a second sub-demand and a third sub-demand of each of the pollution areas are determined, wherein the first sub-demand corresponds to the seasonal flower viewing demand, the second sub-demand corresponds to the color demand, and the third sub-demand corresponds to the space demand; The first sub-demand is assigned a fourth weight, the second sub-demand is assigned a fifth weight, and the third sub-demand is assigned a sixth weight; calculating a first matching coefficient between the flowering season of any of the candidate vegetation and the first sub-demand, calculating a second matching coefficient between the flower color of any of the candidate vegetation and the second sub-demand, and calculating a third matching coefficient between the tree shape of any of the candidate vegetation and the third sub-demand; multiplying the fourth weight and the first matching coefficient to obtain a fourth product, multiplying the fifth weight and the second matching coefficient to obtain a fifth product, and multiplying the sixth weight and the third matching coefficient to obtain a sixth product; summing the fourth product, the fifth product and the sixth product to obtain the second matching degree.

[0010] In some embodiments, after the simulation vegetation BIM model corresponding to the target planning scheme is generated in the target engineering, the method further comprises: determining the new landscape configuration demand based on the landscape configuration type corresponding to the new reference field when the user selects the new reference field in the configuration interface; selecting a new target vegetation from all the available vegetation based on the geographic information, the heavy metal parameter and the landscape configuration demand of each pollution area, and constructing a new target planning scheme based on the new target BIM model corresponding to the new target vegetation.

[0011] In a second aspect, the embodiments of the present application provide a control device, comprising at least one control processor and a memory connected in communication with the at least one control processor; the memory stores instructions executable by the at least one control processor, and the instructions are executed by the at least one control processor to enable the at least one control processor to perform the vegetation planning method based on the heavy metal pollution area as described in the first aspect.

[0012] In a third aspect, the embodiments of the present application further provide an electronic device comprising the control device of the second aspect.

[0013] In a fourth aspect, the embodiments of the present application further provide a computer readable storage medium storing computer executable instructions for performing the vegetation planning method based on the heavy metal pollution area as described in the first aspect.

[0014] The embodiment of the present application provides a vegetation planning method, device and equipment based on a heavy metal pollution area and a medium, the method comprises the following steps: constructing a target project based on BIM technology and three-dimensional GIS technology, the target project is located in a pollution map of a target area, wherein the pollution map comprises a plurality of pollution areas, each pollution area corresponds to heavy metal parameters and geographical information, the heavy metal parameters comprise heavy metal types and heavy metal concentrations; obtaining a target vegetation BIM model library, wherein the target vegetation BIM model library comprises a plurality of available vegetation BIM models, any available vegetation BIM model corresponds to an available vegetation corresponding to a tolerance vector, an enrichment capacity vector, a landscape attribute and a niche parameter of each heavy metal type, and each available vegetation is a vegetation allowed to be planted in the target area; determining a landscape configuration requirement of the target area, selecting a target vegetation from all the available vegetation based on the geographical information of each pollution area, the heavy metal parameters and the landscape configuration requirement, and simulating and constructing a target planning scheme based on a target BIM model corresponding to the target vegetation; generating a simulated vegetation BIM model corresponding to the target planning scheme in the target project, and the simulated vegetation BIM model comprises at least one target BIM model. According to the scheme provided in the embodiment of the present application, in the case of determining the landscape configuration requirement, the vegetation planning scheme is automatically constructed in combination with the geographical information and heavy metal parameters of each pollution area of the target area and the target vegetation BIM model library, compared with the manually planned scheme, the planning efficiency can be improved, the pollution repair effect is guaranteed, the landscape configuration is considered, and the long-term sustainability of the repair effect of the target area is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 It is a step flow chart of the vegetation planning method based on a heavy metal pollution area provided in an embodiment of the present application; Figure 2 It is a structure diagram of a control device provided in another embodiment of the present application. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical scheme and advantages of the present application more clear, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0017] It can be understood that, although the functional modules are divided in the device schematic diagram, and the logical order is shown in the flow chart, in some cases, the steps shown or described can be executed in a manner different from the module division in the device or the order in the flow chart. The terms "first", "second", etc. in the specification, claims or above-described drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence.

[0018] Economic development in coastal areas has greatly promoted the process of urbanization, accelerated the pace of urban development, and also brought many complex ecological problems to river areas, such as heavy metal pollution problems. The existing river restoration method is usually to survey the terrain of the contaminated river by artificial survey, to give the survey results to experts for planting scheme evaluation, and then to plant vegetation with potential heavy metal enrichment capacity in the contaminated area according to the planting scheme. However, in the case that the number of vegetation with potential heavy metal enrichment capacity is large, the planning efficiency is low.

[0019] To solve the above problems, the embodiments of the present application provide a vegetation planning method, device, equipment and medium based on a heavy metal contaminated area, the method comprises the following steps: constructing a target project based on BIM technology and three-dimensional GIS technology, the target project is located in a pollution map of a target area, wherein the pollution map comprises a plurality of pollution areas, each pollution area corresponds to a heavy metal parameter and geographical information, the heavy metal parameter comprises a heavy metal type and a heavy metal concentration; obtaining a target vegetation BIM model library, wherein the target vegetation BIM model library comprises a plurality of available vegetation BIM models, any available vegetation BIM model corresponds to an available vegetation corresponding to a tolerance vector, an enrichment capacity vector, a landscape attribute and a niche parameter of each heavy metal type, and each available vegetation is a vegetation allowed to be planted in the target area; determining the landscape configuration requirement of the target area, selecting a target vegetation from all available vegetation based on the geographical information of each pollution area, the heavy metal parameter and the landscape configuration requirement, and simulating and constructing a target planning scheme based on the target BIM model corresponding to the target vegetation; generating a simulated vegetation BIM model corresponding to the target planning scheme in the target project, the simulated vegetation BIM model at least comprises a target BIM model. According to the scheme provided in the embodiments of the present application, in the case of determining the landscape configuration requirement, the vegetation planning scheme is automatically constructed in combination with the geographical information and heavy metal parameters of each pollution area of the target area and the target vegetation BIM model library, compared with the artificially planned scheme, the planning efficiency can be improved, the pollution restoration effect can be guaranteed, and the long-term sustainability of the restoration effect of the target area is ensured by considering the landscape configuration.

[0020] The embodiments of the present application will be further described below with reference to the accompanying drawings.

[0021] Reference Figure 1 , Figure 1 is a step flowchart of a vegetation planning method based on a heavy metal contaminated area provided by an embodiment of the present application, the embodiment of the present application provides a vegetation planning method based on a heavy metal contaminated area, the method comprises but is not limited to the following steps: In step S10, a target project is constructed based on BIM technology and three-dimensional GIS technology, and the target project is located in a pollution map of a target region, wherein the pollution map includes a plurality of pollution areas, each pollution area corresponds to heavy metal parameters and geographic information, and the heavy metal parameters include heavy metal types and heavy metal concentrations. In step S20, a target vegetation BIM model library is obtained, wherein the target vegetation BIM model library includes a plurality of available vegetation BIM models, any available vegetation BIM model corresponds to a tolerance vector corresponding to each heavy metal type, an enrichment capacity vector, landscape attributes, and niche parameters of corresponding available vegetation, and each available vegetation is a vegetation allowed to be planted in the target region. In step S30, a landscape configuration requirement of the target region is determined, a target vegetation is selected from all available vegetation based on the geographic information, the heavy metal parameters, and the landscape configuration requirement of each pollution area, and a target planning scheme is simulated and constructed based on a target BIM model corresponding to the target vegetation. In step S40, a simulated vegetation BIM model corresponding to the target planning scheme is generated in the target project, and the simulated vegetation BIM model includes at least one target BIM model.

[0022] Specifically, in some embodiments, each pollution area in the target region is a grid area with the same size, that is, the pollution areas are obtained by griding the target region, and each pollution area corresponds to heavy metal parameters and geographic information, thereby providing an effective data basis for subsequent reasonable matching degree calculation through these parameters.

[0023] Specifically, the simulated vegetation BIM model of the present embodiment can be a combination including a plurality of different target BIM models, or a set including one target BIM model, depending on the landscape configuration requirement and the adaptation degree of available vegetation corresponding to the available vegetation BIM model in the target vegetation BIM model library to each pollution area of the target region.

[0024] It can be understood that the embodiment is first based on BIM technology and three-dimensional GIS technology to construct a target project, the target project is located in a pollution map of a target region, wherein the pollution map includes a plurality of pollution areas, each pollution area corresponds to heavy metal parameters and geographic information, the heavy metal parameters include heavy metal types and heavy metal concentrations; obtain a target vegetation BIM model library, wherein the target vegetation BIM model library includes a plurality of available vegetation BIM models, any available vegetation BIM model corresponds to an available vegetation corresponding to a tolerance vector corresponding to each heavy metal type, an enrichment capacity vector, a landscape attribute and a niche parameter, and each available vegetation is a vegetation allowed to be planted in the target region; at this point, there are two types of reference factors to provide an effective data basis for vegetation planning for the target region. Then, determine the landscape configuration requirement of the target region, select the target vegetation from all available vegetation based on the geographic information, heavy metal parameters and landscape configuration requirement of each pollution area, and simulate and construct a target planning scheme based on the target BIM model corresponding to the target vegetation, that is, to form the constraint condition of the vegetation planning scheme with the user's landscape configuration requirement, in the case of determining the landscape configuration requirement, combined with the geographic information and heavy metal parameters of each pollution area of the target region and the target vegetation BIM model library to automatically construct the vegetation planning scheme, and generate a simulated vegetation BIM model corresponding to the target planning scheme in the target project, wherein the simulated vegetation BIM model includes at least one target BIM model. Compared with the manually planned scheme, it can improve the planning efficiency, ensure the pollution repair effect, and also consider the landscape configuration to ensure the long-term sustainability of the repair effect of the target region.

[0025] Specifically, in some embodiments, Figure 1 The step S30 of determining the landscape configuration requirement of the target region includes but is not limited to the following steps: Step S31, display a plurality of reference fields corresponding to different types of landscape configuration types in the configuration interface; Step S32, determine the landscape configuration type corresponding to the target field selected by the user from the plurality of reference fields as the landscape configuration requirement.

[0026] It can be understood that the embodiment determines the landscape configuration requirement of the target area in the following manner: providing selectable fields corresponding to a plurality of landscape configuration types in the configuration interface for user selection, for example, displaying a plurality of reference fields corresponding to different types of landscape configuration types in the configuration interface, determining the landscape configuration type corresponding to the target field selected by the user from the plurality of reference fields as the landscape configuration requirement, that is, determining the final landscape configuration requirement based on the click operation of the user; or providing a content input box in the configuration interface, extracting keywords in the configuration content by semantic recognition technology when receiving the configuration content input by the user, and determining the target landscape configuration type based on the keywords from a preset mapping table (the mapping table is used to indicate the mapping relationship between the landscape configuration type and a plurality of reference keywords), and combining all target landscape configuration types to obtain the final landscape configuration requirement.

[0027] Specifically, in some embodiments, Figure 1 The selection of the target vegetation from all available vegetation based on the geographical information, the heavy metal parameter and the landscape configuration requirement of each pollution area in step S30 includes but is not limited to the following steps: In step S33, for any available vegetation, the corresponding tolerance vector, the enrichment capacity vector and the ecological niche parameter, and the geographical information and the heavy metal parameter of each pollution area are input into the pre-trained ecological restoration model to obtain a first matching degree of the available vegetation in each pollution area, wherein the higher the first matching degree, the higher the survival rate and the heavy metal enrichment capacity of the available vegetation in the corresponding pollution area. In step S34, for any pollution area, a plurality of candidate vegetation are selected from all available vegetation based on the first matching degree, wherein the first matching degree corresponding to the candidate vegetation is greater than a first matching degree threshold. In step S35, the target vegetation is determined from the candidate vegetation based on the landscape attribute and the landscape configuration requirement of each candidate vegetation.

[0028] It can be understood that, for any available vegetation, the corresponding tolerance vector, enrichment capacity vector, and niche parameter and the geographical information and heavy metal parameter of each pollution area are input into the pre-trained ecological restoration model to obtain a first matching degree of the available vegetation in each pollution area, wherein the higher the numerical value of the first matching degree, the higher the survival rate and heavy metal enrichment capacity of the available vegetation in the corresponding pollution area; for any pollution area, a plurality of candidate vegetation are selected from all available vegetation based on the first matching degree, wherein the first matching degree corresponding to the candidate vegetation is greater than a first matching degree threshold; and a target vegetation is determined from the candidate vegetation based on the landscape attribute and landscape configuration requirement of each candidate vegetation. That is, by considering the tolerance degree, enrichment capacity, and growth environment of the available vegetation to different heavy metal types in different pollution areas, and the heavy metal pollution parameters and geographical environment corresponding to each pollution area, a multi-dimensional matching is performed to comprehensively determine what vegetation is suitable for planting in each pollution area, so as to realize ecological restoration and thus guarantee the reliability and feasibility of the final vegetation planning scheme.

[0029] Specifically, in some embodiments, the landscape configuration requirement includes seasonal flower viewing requirement, color requirement, and space requirement, Figure 1 Step S33 includes but is not limited to the following steps: Step S331, based on the tolerance vector, enrichment capacity vector, and niche parameter of any available vegetation and the geographical information and heavy metal concentration and heavy metal toxicity index of each pollution area, a restoration efficiency score is calculated, wherein the restoration efficiency score is used to indicate the restoration ability score of any available vegetation to any pollution area; Step S332, based on the half lethal concentration of any available vegetation to any heavy metal type in any pollution area, the steepness parameter, and the heavy metal concentration of the corresponding heavy metal type in any pollution area, a tolerance score is calculated, wherein the tolerance score is used to indicate the survival rate score of any available vegetation in any pollution area; Step S333, based on the niche parameter of any available vegetation and the geographical information of any pollution area, an ecological suitability score is calculated, wherein the ecological suitability score is used to indicate the matching degree of any available vegetation and any pollution area in natural environmental conditions; Step S334, a first weight is assigned to the restoration efficiency score, a second weight is assigned to the tolerance score, and a third weight is assigned to the ecological suitability score; Step S335, the first weight is multiplied by the restoration efficiency score to obtain a first product, the second weight is multiplied by the tolerance score to obtain a second product, and the third weight is multiplied by the ecological suitability score to obtain a third product Step S336, the first product, the second product, and the third product are summed to obtain the first matching degree.

[0030] It should be noted that the first matching degree in the embodiment is calculated according to the following formula: S(i,j) = W_remediation * R(i,j) + W_tolerance * T(i,j) + W_ecology *E(i,j); Wherein, S(i,j) is the first matching degree, W_remediation is the first weight, W_tolerance is the second weight, W_ecology is the third weight, the value of each weight is adjusted according to the project target, the first weight is 0.6, the second weight is 0.3, and the third weight is 0.1 in the embodiment, R(i,j) is the remediation efficiency score, T(i,j) is the tolerance score, and E(i,j) is the ecological suitability score.

[0031] It should be noted that in the embodiment, the remediation efficiency score is calculated according to the following formula based on the tolerance vector, the enrichment capacity vector and the niche parameter of any available vegetation, the geographical information of each pollution area, and the heavy metal concentration and the heavy metal toxicity index of the heavy metal: R(i,j) = Σ [ Normalized_Weight_m * Potential_m ]; Wherein, R(i,j) is the remediation efficiency score of available vegetation j in pollution area i, Normalized_Weight_m is the weight of heavy metal m, Normalized_Weight_m is calculated according to the heavy metal concentration, the heavy metal toxicity index, the tolerance vector and the enrichment capacity vector, and Potential_m is the remediation capacity of available vegetation j to heavy metal m in pollution area i, Potential_m is calculated according to the heavy metal concentration tolerance vector and the enrichment capacity vector.

[0032] It should be noted that in the embodiment, the tolerance score is calculated according to the following formula based on the half lethal concentration of any available vegetation to any pollution area of heavy metal type, the steepness parameter and the heavy metal concentration of the corresponding heavy metal type in any pollution area: T(i,j) = Π [ 1 / (1 + (C_m / LT50_m) k ) ]; T(i,j) = k * (C_m / LT50_m) + (1-k), wherein T(i,j) is the tolerance score of the available vegetation j in the pollution area i, C_m is the concentration of the heavy metal m in the pollution area i, LT50_m is the half lethal concentration, and k is a steepness parameter, and the value range of k is 2 to 4. When C_m << LT50_m (i.e., the concentration is much lower than the half lethal amount), T(i,j) is close to 1, indicating that the available vegetation j can survive safely in the pollution area i. When C_m ≈ LT50_m (i.e., the concentration is close to the half lethal amount), it indicates that the survival rate of the available vegetation j in the pollution area i is significantly stressed. When C_m >> LT50_m (i.e., the concentration is much higher than the half lethal amount), it indicates that the available vegetation j cannot survive in the pollution area i. The above formula is deployed in the ecological restoration model. When the ecological restoration model receives the tolerance vector, the enrichment capacity vector, and the ecological niche parameter of each available vegetation, and the geographical information and the heavy metal concentration (multi-dimensional consideration factor data) of each pollution area, the corresponding first matching degree is automatically triggered to calculate, thereby providing an effective data basis for automatically generating a preparation planning scheme. Compared with the low-efficiency manual scheme relying on experience, the embodiment can effectively improve the vegetation planning efficiency of the heavy metal pollution area (i.e., the target area) and the reliability of the planning scheme.

[0033] It can be understood that the repair efficiency score, the tolerance score, and the ecological suitability score respectively represent different factors affecting the growth of the available vegetation in any pollution area. Assigning weights to these factors and performing weighted summation on the first matching degree can more reliably represent the planting matching of each available vegetation in any pollution area, thereby providing an effective data basis for subsequent determination of a target vegetation planning scheme.

[0034] Specifically, in some embodiments, the landscape configuration requirements include seasonal flower viewing requirements, color requirements, and space requirements. Figure 1 Step S35 includes but is not limited to the following steps: Step S351, based on each landscape attribute, a configuration landscape label of the corresponding candidate vegetation is assigned, wherein the landscape label includes a tree shape, a flower color, and a flower viewing season; Step S352, the seasonal flower viewing requirements, the color requirements, and the space requirements are respectively assigned corresponding weights; Step S353, based on the seasonal flower viewing requirements, the color requirements, the space requirements, and each landscape label, a second matching degree of each candidate vegetation corresponding to each pollution area is calculated, wherein the second matching degree is used to indicate the landscape matching degree of planting the candidate vegetation in the pollution area; Step S354, for each candidate vegetation corresponding to each pollution area, a target matching degree is calculated based on the corresponding first matching degree and the second matching degree; Step S355, among the candidate vegetation corresponding to each pollution area, the candidate vegetation with the highest target matching degree is determined as the target vegetation.

[0035] Specifically, in some embodiments, Figure 1 Step S353 includes but is not limited to the following steps: Step S3531, determining the first sub-demand, the second sub-demand and the third sub-demand of each pollution area based on the seasonal flower viewing demand, the color demand and the space demand, wherein the first sub-demand corresponds to the seasonal flower viewing demand, the second sub-demand corresponds to the color demand, and the third sub-demand corresponds to the space demand; Step S3532, assigning a fourth weight to the first sub-demand, a fifth weight to the second sub-demand, and a sixth weight to the third sub-demand; Step S3533, calculating the first matching coefficient between the flower viewing season of any candidate vegetation and the first sub-demand, the second matching coefficient between the flower color of any candidate vegetation and the second sub-demand, and the third matching coefficient between the tree shape of any candidate vegetation and the third sub-demand; Step S3534, multiplying the fourth weight by the first matching coefficient to obtain a fourth product, multiplying the fifth weight by the second matching coefficient to obtain a fifth product, and multiplying the sixth weight by the third matching coefficient to obtain a sixth product; Step S3535, summing the fourth product, the fifth product and the sixth product to obtain the second matching degree.

[0036] Specifically, in the present embodiment, for each candidate vegetation, different weights are assigned to the corresponding first matching degree and second matching degree, for example, in the present embodiment, the weight corresponding to the first matching degree is 0.7, and the weight corresponding to the second matching degree is 0.3. Based on the weighted sum of each matching degree and the corresponding weight, the final target matching degree of the candidate vegetation is obtained. One candidate vegetation corresponds to multiple target matching degrees, and different target matching degrees correspond to different pollution areas. Any target matching degree can represent the matching degree of the corresponding candidate vegetation considering the landscape configuration and repair ability demand planted in the corresponding pollution area, which provides an effective data basis for the final selection of suitable vegetation and the determination of the planting site of the target area.

[0037] It can be understood that the embodiment configures a landscape label for the corresponding candidate vegetation based on each landscape attribute, wherein the landscape label includes tree shape, flower color and flowering season; a corresponding weight is allocated to the seasonal flower demand, the color demand and the space demand respectively; a second matching degree of each candidate vegetation corresponding to each pollution area is calculated based on the seasonal flower demand, the color demand, the space demand and each landscape label, wherein the second matching degree is used to indicate the landscape matching degree of the candidate vegetation planted in the pollution area; the candidate vegetation with the highest landscape matching degree in the candidate vegetation corresponding to each pollution area is determined as the target vegetation, and the description of the above embodiment is referred to, so that the target vegetation meeting multiple landscape configuration requirements (corresponding to seasonal flower demand, color demand and space demand) can be further selected from the candidate vegetation meeting heavy metal pollution remediation, thereby realizing pollution control while further improving land value and surrounding development potential.

[0038] In addition, in some embodiments, after the step S40 shown in the figure is performed, Figure 1 The vegetation planning method based on a heavy metal pollution area provided by the embodiment of the application further includes but is not limited to the following steps after the step S40 shown in the figure: Step S51, determining a new landscape configuration requirement based on a landscape configuration type corresponding to a new reference field in response to the user selecting the new reference field in the configuration interface; Step S52, selecting a new target vegetation from all available vegetation based on the geographical information, the heavy metal parameters and the landscape configuration requirement of each pollution area, and simulating and constructing a new target planning scheme based on a new target BIM model corresponding to the new target vegetation.

[0039] It can be understood that the purpose of the step S40 of the embodiment is to simulate and construct a vegetation planning scheme based on the pollution remediation requirement and the landscape configuration requirement of the user, and present the application effect of the scheme to the user. If the user has further modification requirements for the landscape configuration requirement after seeing the presentation effect, the user can enter the configuration interface again to select the target field again, adjust the landscape configuration requirement again, and the system can simulate and construct a new vegetation planning scheme based on the modified landscape configuration requirement. Therefore, compared with the manual planning mode, the planning time can be effectively saved and the labor cost can be reduced.

[0040] As shown in the figure, Figure 2 As shown in the figure, Figure 2 is a structural diagram of a control device provided by an embodiment of the application. The application further provides a control device 200, which comprises: The processor 210 can be implemented by a general-purpose central processing unit (CPU), a microprocessor, an application specific integrated circuit (ASIC), or one or more integrated circuits, and is configured to execute related programs to implement the technical solutions provided by the embodiments of the present application. The memory 220 can be implemented by a read only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 220 can store an operating system and other application programs. When the technical solutions provided by the embodiments of the present application are implemented by software or firmware, the related program codes are stored in the memory 220 and are called and executed by the processor 210 to implement the vegetation planning method based on the heavy metal pollution area according to the embodiments of the present application. The input / output interface 230 is configured to implement information input and output. The communication interface 240 is configured to implement the communication interaction between the device and other devices. The communication can be implemented by a wired manner (for example, a USB, a network cable, etc.) or a wireless manner (for example, a mobile network, WIFI, Bluetooth, etc.). The bus 250 is configured to transmit information between the components (for example, the processor 210, the memory 220, the input / output interface 230, and the communication interface 240) of the device. The processor 210, the memory 220, the input / output interface 230, and the communication interface 240 are connected to each other by the bus 250 to realize the communication connection between the components in the device.

[0041] In addition, the embodiments of the present application further provide an electronic device including the control device 200 according to the above embodiments.

[0042] In addition, the embodiments of the present application further provide a storage medium, which is a computer readable storage medium. The storage medium stores a computer program. When the computer program is executed by a processor, the vegetation planning method based on the heavy metal pollution area according to the above embodiments is implemented.

[0043] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some embodiments, the memory can optionally include a memory disposed remotely with respect to the processor, which can be connected to the processor through a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The above-described device embodiments are only illustrative, and units described as separate components can or can not be physically separated, implemented in one place, or distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the present embodiment.

[0044] Those of ordinary skill in the art can understand that all or some steps in the above disclosed method and system can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those of ordinary skill in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. In addition, as known to those of ordinary skill in the art, communication media generally includes computer readable instructions, data structures, program modules or other data in modulated data signals such as carrier waves or other transport mechanisms, and can include any information delivery medium.

[0045] The above is a specific description of the preferred embodiment of the present application, but the present application is not limited to the above-described embodiments, and those skilled in the art can make various equivalent modifications or replacements without departing from the spirit of the present application. These equivalent modifications or replacements are all included in the scope defined by the claims of the present application.

Claims

1. A vegetation planning method for areas polluted by heavy metals, characterized in that, include: The target project is constructed based on BIM and 3D GIS technologies. The target project is located in a pollution map of the target area. The pollution map includes multiple pollution zones, each of which corresponds to heavy metal parameters and geographical information. The heavy metal parameters include heavy metal type and heavy metal concentration. Obtain a target vegetation BIM model library, wherein the target vegetation BIM model library includes multiple available vegetation BIM models, and each available vegetation corresponding to any available vegetation BIM model has a tolerance vector, enrichment capacity vector, landscape attribute and niche parameter corresponding to each heavy metal type, and each available vegetation is the vegetation that is allowed to be planted in the target area. Determine the landscape configuration requirements of the target area, select target vegetation from all available vegetation based on the geographical information of each polluted area, the heavy metal parameters and the landscape configuration requirements, and simulate and construct the target planning scheme based on the target BIM model corresponding to the target vegetation. In the target project, a simulated vegetation BIM model corresponding to the target planning scheme is generated, and the simulated vegetation BIM model includes at least one of the target BIM models.

2. The vegetation planning method for heavy metal polluted areas according to claim 1, characterized in that, Based on the geographical information of each polluted area, the heavy metal parameters, and landscape configuration requirements, target vegetation is selected from all available vegetation, including: For any of the available vegetation, the corresponding tolerance vector, enrichment capacity vector, niche parameter, geographical information of each polluted area, and heavy metal parameter are input into a pre-trained ecological restoration model to obtain the first matching degree of the available vegetation in each polluted area. The higher the value of the first matching degree, the higher the survival rate and heavy metal enrichment capacity of the available vegetation in the corresponding polluted area. For any of the polluted areas, multiple candidate vegetations are selected from all the available vegetations based on the first matching degree, wherein the first matching degree corresponding to the candidate vegetation is greater than the first matching degree threshold. The target vegetation is determined from the candidate vegetation based on the landscape attributes and landscape configuration requirements of each candidate vegetation.

3. The vegetation planning method for heavy metal polluted areas according to claim 2, characterized in that, The landscape configuration requirements include seasonal flowering requirements, color requirements, and spatial requirements. Based on the landscape attributes and landscape configuration requirements of each candidate vegetation, the target vegetation is determined from the candidate vegetation, including: The landscape labels are configured based on the candidate vegetation corresponding to each of the landscape attributes, wherein the landscape labels include tree shape, flower color and flowering season; Assign corresponding weights to the seasonal flower viewing requirements, the color requirements, and the spatial requirements, respectively; Based on the seasonal flowering requirements, color requirements, spatial requirements, and various landscape tags, a second matching degree is calculated for each candidate vegetation corresponding to each polluted area, wherein the second matching degree is used to indicate the landscape matching degree of planting the candidate vegetation in the polluted area. For each candidate vegetation corresponding to each polluted area, a target matching degree is calculated based on the corresponding first matching degree and second matching degree; The candidate vegetation with the highest target matching degree among the candidate vegetation corresponding to each polluted area is determined as the target vegetation.

4. The vegetation planning method for heavy metal polluted areas according to any one of claims 1 to 3, characterized in that, Determining the landscape configuration requirements of the target area includes: The configuration interface displays reference fields corresponding to multiple different types of landscape configurations; The landscape configuration type corresponding to the target field selected by the user from multiple reference fields is determined as the landscape configuration requirement.

5. The vegetation planning method for heavy metal polluted areas according to claim 2, characterized in that, For any of the available vegetation, the corresponding tolerance vector, enrichment capacity vector, niche parameter, geographical information of each polluted area, and heavy metal parameter are input into a pre-trained ecological restoration model to obtain the first matching degree of the available vegetation in each polluted area, including: The remediation efficiency score is calculated based on the tolerance vector, enrichment capacity vector, and niche parameters of any of the available vegetation, the geographical information of each of the polluted areas, the heavy metal concentration, and the heavy metal toxicity index. The remediation efficiency score is used to indicate the remediation capacity score of any of the available vegetation for any of the polluted areas. A tolerance score is calculated based on any of the available vegetation for any of the polluted areas, including the half-lethal concentration of the heavy metal type, the steepness parameter, and the concentration of the corresponding heavy metal type in any of the polluted areas. The tolerance score is used to indicate the survival rate score of any of the available vegetation in any of the polluted areas. An ecological suitability score is calculated based on the niche parameters of any of the available vegetation and the geographic information of any of the polluted areas, wherein the ecological suitability score is used to indicate the degree of matching between any of the available vegetation and any of the polluted areas in terms of natural environmental conditions. A first weight is assigned to the repair efficacy score, a second weight is assigned to the tolerance score, and a third weight is assigned to the ecological suitability score. The first weight is multiplied by the restoration efficiency score to obtain the first product, the second weight is multiplied by the tolerance score to obtain the second product, and the third weight is multiplied by the ecological suitability score to obtain the third product. The first matching degree is obtained by summing the first product, the second product, and the third product.

6. The vegetation planning method for heavy metal polluted areas according to claim 3, characterized in that, Based on the seasonal flowering requirements, color requirements, spatial requirements, and various landscape tags, the second matching degree of each candidate vegetation corresponding to each polluted area is calculated, including: Based on the seasonal flower viewing requirements, the color requirements, and the spatial requirements, a first sub-requirement, a second sub-requirement, and a third sub-requirement are determined for each of the polluted areas, wherein the first sub-requirement corresponds to the seasonal flower viewing requirements, the second sub-requirement corresponds to the color requirements, and the third sub-requirement corresponds to the spatial requirements. Assign a fourth weight to the first sub-requirement, a fifth weight to the second sub-requirement, and a sixth weight to the third sub-requirement; Calculate a first matching coefficient between the flowering season of any candidate vegetation and the first sub-requirement, calculate a second matching coefficient between the flower color of any candidate vegetation and the second sub-requirement, and calculate a third matching coefficient between the tree shape of any candidate vegetation and the third sub-requirement. The fourth weight is multiplied by the first matching coefficient to obtain the fourth product, the fifth weight is multiplied by the second matching coefficient to obtain the fifth product, and the sixth weight is multiplied by the third matching coefficient to obtain the sixth product. The second matching degree is obtained by summing the fourth product, the fifth product, and the sixth product.

7. The vegetation planning method for heavy metal polluted areas according to claim 4, characterized in that, After generating the simulated vegetation BIM model corresponding to the target planning scheme in the target project, the method further includes: When a user selects a new reference field in the configuration interface, the new landscape configuration requirement is determined based on the landscape configuration type corresponding to the new reference field. Based on the geographic information of each polluted area, the heavy metal parameters, and the landscape configuration requirements, new target vegetation is selected from all available vegetation, and a new target planning scheme is simulated and constructed based on the new target BIM model corresponding to the new target vegetation.

8. A control device, characterized in that, It includes at least one control processor and a memory for communicatively connecting to the at least one control processor; the memory stores instructions executable by the at least one control processor, which, when executed by the at least one control processor, enable the at least one control processor to perform the vegetation planning method based on heavy metal polluted areas as described in any one of claims 1 to 7.

9. An electronic device, characterized in that, Includes the control device as described in claim 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer to perform the vegetation planning method for heavy metal polluted areas as described in any one of claims 1 to 7.

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