Ecological system simulation and forest cultivation optimization method

Abstract

The invention discloses an ecological system simulation and forest cultivation optimization method, and relates to the technical field of ecological optimization, and the method comprises the following implementation steps: configuring the IP address information of a remote control region server of an ecological system; basic data of an ecological system is obtained, an ecological simulation end is entered, and whether a corresponding area meets ecological standard requirements or not is judged in real time by collecting planting and felling data of different geographic positions in real time and combining multiple parameters; entering a hazard detection end, analyzing the project hazard rate simulated in the corresponding area in real time, and performing ecological system simulation in combination with the project hazard rate; and entering a collaborative optimization end, formulating a forest cultivation optimization decision scheme according to a prediction result, and cooperatively considering in combination with hazards generated by various projects. According to the ecological system simulation and forest cultivation optimization method, whether ecological system simulation is feasible or not can be judged in real time in combination with multiple parameters, an ecological system simulation result is predicted according to project changes and vegetation damage, and the execution accuracy of a forest cultivation optimization scheme is improved.

Description

Technical Field

[0001] The invention relates to the technical field of ecological optimization, and in particular to an ecosystem simulation and forest cultivation optimization method. Background Art

[0002] Ecosystem simulation and silviculture optimization is a combination of scientific and engineering methods that aims to optimize the management of forest resources by simulating the dynamic processes and structure of natural ecosystems. Ecosystem simulation is a scientific and engineering method that aims to simulate and analyze the dynamic processes, structure and behavior of natural ecosystems. Silviculture optimization is a method of managing forest resources that aims to achieve optimal forest growth, timber production and sustainable use while balancing economic, ecological and social goals. By optimizing silviculture strategies, timber production and economic benefits can be maximized while ensuring the health and sustainability of forests, which helps reduce excessive depletion of forest resources and protect the ecological environment.

[0003] Publication No. CN117892550A discloses an ecosystem simulation and forest cultivation optimization method, which includes the following steps: obtaining ecosystem basic data; constructing a model based on the ecosystem basic data to obtain an ecosystem basic model; performing ecosystem association simulation based on the ecosystem basic model to obtain an ecosystem association simulation model; obtaining tree optimal utilization data, and generating forest cultivation maximum utilization plan data based on the tree optimal utilization data and the ecosystem association simulation model; calculating the environmental recovery rate of the ecosystem association simulation model to obtain environmental recovery rate data, and generating forest cultivation minimum environmental impact plan data based on the environmental recovery rate data and the ecosystem association simulation model. The present invention ensures the long-term sustainability and renewable utilization of forest resources based on data-driven.

[0004] After searching the above patents, it was found that there are still some deficiencies in ecosystem simulation and forest cultivation optimization: 1. Due to the diversity of ecosystem projects, different geographical locations have different forest planting and felling, and it is impossible to combine geographical locations to judge in real time whether the ecosystem meets regional needs, which makes it easy for unreasonable management methods to appear in ecosystem simulation, leading to serious damage to forest resources, affecting the accuracy of forest cultivation optimization and the stability of ecosystem simulation; 2. The above patents overemphasize the management of trees and only focus on the optimal utilization of trees, that is, only focus on the favorable side of the ecosystem, while ignoring the implicit hazards of the ecosystem, resulting in an incomplete ecosystem simulation, resulting in limitations in ecosystem simulation, affecting the accuracy of forest cultivation optimization; 3. Since the ecosystem includes multiple projects, when conducting forest cultivation optimization, it is impossible to simultaneously consider the hazards caused by multiple projects in a coordinated manner, resulting in the inability to comprehensively consider whether the forest cultivation optimization meets development needs, causing the forest cultivation optimization plan to easily deviate.

[0005] Therefore, a new ecosystem simulation and forest cultivation optimization method is proposed to solve the above problems. Summary of the invention

[0006] The main purpose of the present invention is to provide an ecosystem simulation and forest cultivation optimization method to solve the problems raised in the above background.

[0007] To achieve the above object, the technical solution adopted by the present invention is: an ecosystem simulation and forest cultivation optimization method, the method comprising the following implementation steps:

[0008] Step 1: Configure the IP address information of the ecosystem remote control area server;

[0009] Step 2: Obtain basic ecosystem data, enter the ecological simulation terminal, collect planting and harvesting data in different geographical locations in real time, and combine multiple parameters to determine in real time whether the corresponding area meets the ecological standard requirements. If not, formulate a tree management plan based on the geographical location and project requirements;

[0010] Step 3: If the conditions are met, the system will enter the hazard detection end, analyze the hazard rate of the project simulated in the corresponding area in real time, simulate the ecosystem based on the hazard rate of the project, and timely predict the basic model of ecosystem simulation by real-time tracking the changes of the projects in the corresponding area;

[0011] Step 4: Enter the collaborative optimization end, formulate a forest cultivation optimization decision plan based on the prediction results, combine the hazards caused by various projects into a coordinated consideration, track the decision results in real time, and use multiple parameters to determine whether the forest cultivation optimization decision plan meets development needs.

[0012] The ecological simulation terminal includes a data acquisition module, an information acquisition module and a parameter judgment module;

[0013] The data acquisition module includes a data acquisition unit and a multi-parameter recording unit;

[0014] The data acquisition unit is used to collect ecological basic data of the corresponding area in real time through a data acquisition instrument, and the ecological basic data includes animal and plant data, water and soil data, and climate data;

[0015] The multi-parameter recording unit is used to record the ecological basic data of the corresponding area in real time through a data recorder, and set the basic model of ecosystem simulation. The basic model of ecosystem simulation includes the vegetation felling standard model, vegetation planting standard model, project mining standard model, environmental standard model and ecological cultivation model of the corresponding area.

[0016] The information acquisition module includes a felling data unit and an item record unit;

[0017] The felling data unit is used to obtain vegetation felling data and vegetation planting data of tree felling in the corresponding area through remote sensing technology, and record the vegetation planting time and the standard felling period of vegetation;

[0018] The project recording unit is used to track and record the project information of each corresponding area in real time through a data tracker. The project information includes old city reconstruction, vegetation felling plan, vegetation planting plan and real-time status of vegetation felling.

[0019] The parameter judgment module includes a minimum demand unit, a parameter comparison unit, a demand warning unit and a planning management unit;

[0020] The minimum demand unit is used to set the vegetation felling parameters and vegetation planting parameters under the basic model of the ecosystem simulation of the corresponding regional project information standard, and to set the minimum demand standard data of the ecosystem in the corresponding region, the minimum demand standard data including the maximum value of the vegetation felling quantity and the minimum value of the vegetation planting quantity in the corresponding region;

[0021] The parameter comparison unit is used to calculate the difference between the number of vegetation planted in the corresponding area and the minimum number of vegetation planted. If the difference is greater than 0, it means that the number of vegetation planted or the number of vegetation felled meets the standard. If the difference is less than or equal to 0, it means that the number of vegetation planted or the number of vegetation felled does not meet the standard.

[0022] The demand warning unit is used to report the system to issue a voice alarm when the vegetation parameter comparison result determines that the number of vegetation cut and planted does not meet the standard;

[0023] The planning management unit is used to automatically plan the number of vegetation to be cut and the number of vegetation to be planted in the corresponding area according to the comparison results of the parameters of the vegetation cutting and planting, and the planned number is automatically defined according to the difference.

[0024] The hazard detection end includes a project hazard module, a project tracking module and a simulation prediction module;

[0025] The project hazard module includes a hazard calculation unit and a hazard recording unit;

[0026] The hazard calculation unit is used to calculate the required value of ecological purification in the corresponding area project execution state in real time, and the calculation formula is as follows:

[0027]

[0028] Among them, C i is the pollutant concentration in the ecosystem before vegetation felling in the corresponding area, and C0 is the pollutant concentration after vegetation felling in the corresponding area;

[0029] The hazard recording unit is used to match the corresponding planting vegetation type according to the required value of ecological purification, and set the ecological purification standard value of the corresponding area. The matching method is as follows:

[0030] Step 1: Select multiple vegetation types as candidates for vegetation planting. According to the required ecological purification value under the execution status of the corresponding regional project, calculate the purification rate deviation value of the candidate vegetation. The calculation formula is as follows:

[0031]

[0032] Among them, A n Indicates the purification rate deviation value of the selected vegetation. n =[1,∞] represents the number of vegetation to be planted, T n 净化 , W n 净化 and Q n 净化 They represent the temperature, humidity and light intensity of the j-th type of selected vegetation under the ideal purification state in the corresponding area, and T0, W0 and Q0 represent the average temperature, average humidity and average light intensity in the corresponding area respectively;

[0033] Step 2: Calculate the geographical environment suitability of the area corresponding to the selected vegetation. The calculation formula is:

[0034]

[0035] Among them, P i Indicates the geographical environment suitability of the selected vegetation corresponding to the area, T n 种植 , W n 种植 and Q n 种植 They are respectively represented as the suitable planting temperature, suitable planting humidity and suitable planting light intensity of the j-th type of vegetation to be selected in the corresponding area;

[0036] Step 3: Calculate the specific purification capacity value of the area corresponding to the selected vegetation. The calculation formula is as follows:

[0037]

[0038] in, Indicates the specific purification capacity value of the area corresponding to the selected vegetation, δ n Expressed as the standard purification capacity value of the nth selected vegetation, ε n It is expressed as the purification capacity weakening value corresponding to the nth type of vegetation to be selected;

[0039] Step 4: Calculate the effective purification value of the selected vegetation in the corresponding area by combining the specific purification capacity value and the geographical environment adaptability. The calculation formula is as follows:

[0040]

[0041] Among them, ψ n It represents the effective purification value of the selected vegetation in the corresponding area. α and β represent the trade-off factors corresponding to the specific purification capacity value and the geographical environment adaptability respectively. The trade-off factors can be adjusted according to the ecological purification standard value of the corresponding area.

[0042] Step 5. Calculate the difference between the purification effective values ​​of various candidate vegetation in the corresponding area and the ecological purification standard value, select the candidate vegetation with a difference greater than 0 as the plantable vegetation, and select the candidate vegetation with a difference less than or equal to 0 as the non-plantable vegetation (by calculating the vegetation felling data in the corresponding area, the accuracy of the ecosystem simulation in the corresponding area can be increased to ensure the comprehensiveness of the ecosystem simulation).

[0043] The project tracking module includes a project monitoring unit, a regional impact unit and a project tracking unit;

[0044] The project monitoring unit is used to collect project parameters in the corresponding area in real time through a data acquisition instrument. The project parameters include the real-time status of vegetation planting, the old city renovation project in the corresponding area, the ecosystem pollution value and the required value for ecosystem purification. The real-time status of vegetation planting includes the vegetation planting years, vegetation growth value and vegetation purification value.

[0045] The regional impact unit is used to calculate the proportion of vegetation plantation damage in the corresponding area in real time. The calculation formula is as follows:

[0046]

[0047] Among them, the vegetation planting land destruction ratio indicates the vegetation planting land destruction ratio of the corresponding area at the current moment, the destroyed vegetation planting land area indicates the planting area that has been repeatedly reclaimed for more than five times, and the total vegetation planting land area indicates the area that can be reclaimed and planted. The vegetation planting land destruction ratio of the corresponding area is spread to the surrounding area of ​​1000m as the ecosystem simulation impact range;

[0048] The project tracking unit is used to track the project status and ecosystem simulation impact range of the corresponding area in real time through a data tracker.

[0049] The simulation prediction module includes a change prediction unit and a simulation early warning unit;

[0050] The change prediction unit is used to predict the abnormality of the basic model of ecosystem simulation according to the required value of ecological purification in the corresponding area. The prediction method is as follows:

[0051] Step I: Use a data tracker to track the current ecological purification required value in real time, and calculate the difference between the current and historical ecological purification required values ​​in real time, set a vegetation purification rate deviation value as a standard threshold, if the difference is less than or equal to the standard threshold, it means that the ecosystem simulation basic model is normal, if the difference is greater than the standard threshold, it means that the ecosystem simulation basic model is abnormal;

[0052] Step II: Counting one hour as one cycle, calculate the average value of ecological purification required for three cycles, and predict whether the basic model of ecosystem simulation in the corresponding area is feasible based on the average value of ecological purification required for three cycles. If the average value of ecological purification required for three cycles does not exceed the standard threshold, it is predicted that the basic model of ecosystem simulation in the corresponding area is executing normally;

[0053] The simulation warning unit is used to report the system to issue a voice alarm when the basic model of the ecosystem simulation in the corresponding area is predicted to be abnormal.

[0054] The collaborative optimization end includes a data receiving module, an optimization decision module and a decision tracking module;

[0055] The data receiving module includes a data receiving unit and a hazard coordination unit;

[0056] The data receiving unit is used to receive the prediction results and project execution parameters of the ecosystem simulation basic model in real time through a data receiver, and automatically generate a forest cultivation optimization decision plan;

[0057] The hazard coordination unit is used to make economic benefit judgments based on vegetation harvesting data and coordinately analyze abnormalities in forest cultivation optimization decision-making plans, as follows:

[0058] Calculate the difference between the economic value of vegetation felling at the current moment and the economic value before vegetation felling. The calculation formula is as follows:

[0059]

[0060] Among them, σ represents the standard deviation of the economy of vegetation felling at the current moment and before vegetation felling, υ represents the average value of the economy of vegetation felling at the current moment and before vegetation felling, CV represents the economic difference value before and after vegetation felling in the corresponding area, and the standard economic difference value is set. The difference between the economic difference value and the standard economic difference value is calculated. If the difference is less than or equal to 0.03, it means that the forest cultivation optimization decision-making plan is normal. If the difference is greater than 0.03, it means that the forest cultivation optimization decision-making plan is abnormal.

[0061] The optimization decision module includes a decision updating unit;

[0062] The decision updating unit is used to set a forest cultivation optimization decision plan model, and receive the ecosystem simulation prediction results in real time through a data receiver, and update the forest cultivation optimization decision plan in a timely manner.

[0063] The decision tracking module includes a decision tracking unit and a decision warning adjustment unit;

[0064] The decision tracking unit is used to track the execution results of the forest cultivation optimization decision plan in real time through a data tracker, and to calculate the economic difference value and the required value for ecological purification twice, and to perform difference calculation on the two economic difference values ​​and the required value for ecological purification. If the difference is equal to 0, it indicates that the forest cultivation optimization decision plan is executed abnormally, and if the difference is not equal to 0, it indicates that the forest cultivation optimization decision plan is executed normally;

[0065] The decision warning adjustment unit is used to report to the system to issue a warning adjustment reminder when it is determined that the forest cultivation optimization decision plan is executed abnormally.

[0066] The present invention has the following beneficial effects:

[0067] 1. In the present invention, by setting up an ecological simulation terminal, when performing ecosystem simulation and forest cultivation optimization, it is determined in real time whether the corresponding area meets the ecological standard requirements. If not, a tree management planning scheme is formulated in combination with the geographical location and project requirements, so that when simulating the ecosystem, it is possible to determine in real time whether the ecosystem simulation is reasonable in combination with the geographical location, thereby avoiding large deviations in the ecosystem simulation that lead to serious damage to forest resources, and increasing the reliability of the ecosystem simulation and the accuracy of the forest cultivation optimization;

[0068] 2. In the present invention, by setting up a hazard detection terminal, when performing ecosystem simulation and forest cultivation optimization, by real-time tracking of project changes in the corresponding area, the basic model of ecosystem simulation is timely predicted, so that when optimizing forest cultivation, the limitations of ecosystem simulation are reduced, and the results of ecosystem simulation are predicted according to project changes, so as to further ensure the safety and reliability of ecosystem simulation and the accuracy of forest cultivation optimization;

[0069] 3. In the present invention, by setting up a collaborative optimization terminal, when conducting ecosystem simulation and forest cultivation optimization, a forest cultivation optimization decision plan is formulated according to the prediction results, and multiple parameters are combined to judge in real time whether the forest cultivation optimization decision plan meets the development needs of the corresponding area, thereby reducing the deviation of the forest cultivation optimization plan and ensuring the feasibility of the ecosystem simulation and forest cultivation optimization method. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 This is an overall flow chart of an ecosystem simulation and forest cultivation optimization method of the present invention;

[0071] Figure 2 It is a schematic diagram of the structure of an ecological simulation end of an ecosystem simulation and forest cultivation optimization method of the present invention;

[0072] Figure 3 A schematic diagram of the structure of a hazard detection end of an ecosystem simulation and forest cultivation optimization method of the present invention;

[0073] Figure 4 The present invention is a schematic diagram of the architecture of a collaborative optimization end of an ecosystem simulation and forest cultivation optimization method. DETAILED DESCRIPTION

[0074] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0075] Embodiment 1

[0076] Please refer to Figure 1 to Figure 2 As shown: An ecosystem simulation and forest cultivation optimization method, the method includes the following implementation steps:

[0077] Step 1: Configure the IP address information of the ecosystem remote control area server;

[0078] Step 2: Obtain basic ecosystem data, enter the ecological simulation terminal, collect planting and harvesting data in different geographical locations in real time, and combine multiple parameters to determine in real time whether the corresponding area meets the ecological standard requirements. If not, formulate a tree management plan based on the geographical location and project requirements;

[0079] Step 3: If the conditions are met, the system will enter the hazard detection end, analyze the hazard rate of the project simulated in the corresponding area in real time, simulate the ecosystem based on the hazard rate of the project, and timely predict the basic model of ecosystem simulation by real-time tracking the changes of the projects in the corresponding area;

[0080] Step 4: Enter the collaborative optimization end, formulate a forest cultivation optimization decision plan based on the prediction results, combine the hazards caused by various projects into a coordinated consideration, track the decision results in real time, and use multiple parameters to determine whether the forest cultivation optimization decision plan meets development needs.

[0081] The ecological simulation end includes a data acquisition module, an information acquisition module and a parameter judgment module;

[0082] The data acquisition module includes a data acquisition unit and a multi-parameter recording unit;

[0083] The data acquisition unit is used to collect the ecological basic data of the corresponding area in real time through the data acquisition instrument. The ecological basic data includes animal and plant data, water and soil data, and climate data;

[0084] The multi-parameter recording unit is used to record the ecological basic data of the corresponding area in real time through a data recorder, and to set the basic model of ecosystem simulation. The basic model of ecosystem simulation includes the vegetation felling standard model, vegetation planting standard model, project mining standard model, environmental standard model and ecological cultivation model of the corresponding area.

[0085] The information acquisition module includes a felling data unit and a project record unit;

[0086] The felling data unit is used to obtain the vegetation felling data and vegetation planting data of the corresponding area through remote sensing technology, and record the vegetation planting time and the standard felling period of vegetation;

[0087] The project recording unit is used to track and record the project information of each corresponding area in real time through a data tracker. The project information includes old city renovation, vegetation felling plan, vegetation planting plan and real-time status of vegetation felling. It combines multiple project parameters of the corresponding area to determine in real time whether the corresponding area meets the ecological standard requirements. If not, a tree management plan is formulated in combination with the geographical location and project requirements.

[0088] The parameter judgment module includes a minimum demand unit, a parameter comparison unit, a demand warning unit, and a planning management unit;

[0089] The minimum demand unit is used to set the vegetation felling parameters and vegetation planting parameters under the basic model of the ecosystem simulation of the corresponding regional project information standard, and to set the minimum demand standard data of the ecosystem in the corresponding region. The minimum demand standard data includes the maximum value of vegetation felling and the minimum value of vegetation planting in the corresponding region.

[0090] The parameter comparison unit is used to calculate the difference between the number of vegetation planted in the corresponding area and the minimum number of vegetation planted. If the difference is greater than 0, it means that the number of vegetation planted or the number of vegetation cut down meets the standard. If the difference is less than or equal to 0, it means that the number of vegetation planted or the number of vegetation cut down does not meet the standard.

[0091] The demand warning unit is used to report the system to issue a voice alarm when the vegetation parameter comparison results determine that the number of vegetation cut and planted does not meet the standard;

[0092] The planning management unit is used to automatically plan the number of vegetation to be cut down and the number of vegetation to be planted in the corresponding area according to the comparison results of the parameters of vegetation cutting and planting. The planned quantity is automatically defined based on the difference, and combined with the hazard rate of tree felling, the implicit hazard of the ecosystem is determined, making the ecosystem simulation more comprehensive and reducing the limitations of ecosystem simulation.

[0093] Embodiment 2

[0094] Please refer to Figure 3As shown: Based on the first embodiment, the hazard detection end includes a project hazard module, a project tracking module and a simulation prediction module;

[0095] The project hazard module includes the hazard calculation unit and the hazard recording unit;

[0096] The hazard calculation unit is used to calculate the required value of ecological purification in the corresponding area under the project execution status in real time. The calculation formula is as follows:

[0097]

[0098] Among them, C i is the pollutant concentration in the ecosystem before vegetation felling in the corresponding area, and C0 is the pollutant concentration after vegetation felling in the corresponding area;

[0099] The hazard recording unit is used to match the corresponding planting vegetation type according to the required value of ecological purification and set the ecological purification standard value of the corresponding area. The matching method is as follows:

[0100] Step 1: Select multiple vegetation types as candidates for vegetation planting. According to the required ecological purification value under the execution status of the corresponding regional project, calculate the purification rate deviation value of the candidate vegetation. The calculation formula is as follows:

[0101]

[0102] Among them, A n Indicates the purification rate deviation value of the selected vegetation. n =[1,∞] represents the number of vegetation to be planted, T n 净化 , W n 净化 and Q n 净化 They represent the temperature, humidity and light intensity of the j-th type of selected vegetation under the ideal purification state in the corresponding area, and T0, W0 and Q0 represent the average temperature, average humidity and average light intensity in the corresponding area respectively;

[0103] Step 2: Calculate the geographical environment suitability of the area corresponding to the selected vegetation. The calculation formula is:

[0104]

[0105] Among them, P i Indicates the geographical environment suitability of the selected vegetation corresponding to the area, T n 种植 , W n 种植 and Q n 种植They are respectively represented as the suitable planting temperature, suitable planting humidity and suitable planting light intensity of the j-th type of vegetation to be selected in the corresponding area;

[0106] Step 3: Calculate the specific purification capacity value of the area corresponding to the selected vegetation. The calculation formula is as follows:

[0107]

[0108] in, Indicates the specific purification capacity value of the area corresponding to the selected vegetation, δ n Expressed as the standard purification capacity value of the nth selected vegetation, ε n It is expressed as the purification capacity weakening value corresponding to the nth type of vegetation to be selected;

[0109] Step 4: Calculate the effective purification value of the selected vegetation in the corresponding area by combining the specific purification capacity value and the geographical environment adaptability. The calculation formula is as follows:

[0110]

[0111] Among them, ψ n It represents the effective purification value of the selected vegetation in the corresponding area. α and β represent the specific purification capacity value (set in the basic model of ecosystem simulation) and the trade-off factor corresponding to the geographical environment adaptability. The trade-off factor can be adjusted according to the ecological purification standard value of the corresponding area.

[0112] Step 5: Calculate the difference between the effective purification values ​​of various candidate vegetation in the corresponding area and the ecological purification standard value, select the candidate vegetation with a difference greater than 0 as the plantable vegetation, and select the candidate vegetation with a difference less than or equal to 0 as the non-plantable vegetation. Combined with the hazard rate of tree felling, determine the implicit hazard of the ecosystem, make the ecosystem simulation more comprehensive, and reduce the limitations of the ecosystem simulation.

[0113] The project tracking module includes the project monitoring unit, the regional impact unit and the project tracking unit;

[0114] The project monitoring unit is used to collect project parameters in the corresponding area in real time through a data acquisition instrument. The project parameters include the real-time status of vegetation planting, the old city renovation project in the corresponding area, the ecosystem pollution value and the required value for ecosystem purification. The real-time status of vegetation planting includes the vegetation planting years, vegetation growth value and vegetation purification value.

[0115] The regional impact unit is used to calculate the proportion of vegetation destruction in the corresponding area in real time. The calculation formula is as follows:

[0116]

[0117] Among them, the vegetation planting land destruction ratio indicates the vegetation planting land destruction ratio of the corresponding area at the current moment, the destroyed vegetation planting land area indicates the planting area that has been repeatedly reclaimed for more than five times, and the total vegetation planting land area indicates the area that can be reclaimed and planted. The vegetation planting land destruction ratio of the corresponding area is spread to the surrounding area of ​​1000m as the ecosystem simulation impact range;

[0118] The project tracking unit is used to track the project status and ecosystem simulation impact range of the corresponding area in real time through a data tracker. By real-time tracking of project changes in the corresponding area, the ecosystem simulation results are predicted according to the project changes, further ensuring the safety and reliability of the ecosystem simulation and the accuracy of forest cultivation optimization.

[0119] Embodiment 3

[0120] Please refer to Figure 4 As shown: Based on the first embodiment, the simulation prediction module includes a change prediction unit and a simulation warning unit;

[0121] The change prediction unit is used to predict the abnormality of the basic model of ecosystem simulation according to the required value of ecological purification in the corresponding area. The prediction method is as follows:

[0122] Step I: Use a data tracker to track the current ecological purification required value in real time, and calculate the difference between the current and historical ecological purification required values ​​in real time, set a vegetation purification rate deviation value as a standard threshold, if the difference is less than or equal to the standard threshold, it means that the ecosystem simulation basic model is normal, if the difference is greater than the standard threshold, it means that the ecosystem simulation basic model is abnormal;

[0123] Step II: Counting one hour as one cycle, calculate the average value of ecological purification required for three cycles, and predict whether the basic model of ecosystem simulation in the corresponding area is feasible based on the average value of ecological purification required for three cycles. If the average value of ecological purification required for three cycles does not exceed the standard threshold, it is predicted that the basic model of ecosystem simulation in the corresponding area is executing normally. By real-time tracking of project changes in the corresponding area, the results of ecosystem simulation are predicted based on project changes, further ensuring the safety and reliability of ecosystem simulation and the accuracy of forest cultivation optimization;

[0124] The simulation warning unit is used to report the system to issue a voice alarm when the basic model of the ecosystem simulation in the corresponding area is predicted to be abnormal.

[0125] The collaborative optimization end includes a data receiving module, an optimization decision module, and a decision tracking module;

[0126] The data receiving module includes a data receiving unit and a hazard coordination unit;

[0127] The data receiving unit is used to receive the prediction results and project execution parameters of the ecosystem simulation basic model in real time through the data receiver, and automatically generate a forest cultivation optimization decision plan;

[0128] The hazard coordination unit is used to make economic benefit judgments based on vegetation harvesting data and to coordinate the analysis of abnormalities in forest cultivation optimization decision-making plans, as follows:

[0129] Calculate the difference between the economic value of vegetation felling at the current moment and the economic value before vegetation felling. The calculation formula is as follows:

[0130]

[0131] Among them, σ represents the standard deviation of the economy of vegetation felling at the current moment and before vegetation felling, υ represents the average value of the economy of vegetation felling at the current moment and before vegetation felling, CV represents the economic difference value before and after vegetation felling in the corresponding area, and a standard economic difference value is set. The difference between the economic difference value and the standard economic difference value is calculated. If the difference is less than or equal to 0.03, it means that the forest cultivation optimization decision-making plan is normal. If the difference is greater than 0.03, it means that the forest cultivation optimization decision-making plan is abnormal. Here, it can be judged whether the forest cultivation optimization decision-making plan meets the development needs of the corresponding area, and ensure that the forest cultivation optimization decision can comprehensively consider the ecosystem simulation results of the corresponding area (here, different project hazard rates can also be combined. Different project hazard rates include water resource waste and soil damage generated when different projects are executed in the corresponding area).

[0132] The optimization decision module includes a decision updating unit;

[0133] The decision update unit is used to set the forest cultivation optimization decision-making plan model (according to the vegetation felling parameters and the purification rate of the selected vegetation, the forest cultivation optimization decision plan is automatically generated, and the forest cultivation optimization decision plan is set according to the required value of ecological purification in the corresponding area), and receive the ecosystem simulation prediction results in real time through the data receiver, and update the forest cultivation optimization decision plan in time.

[0134] The decision tracking module includes a decision tracking unit and a decision warning adjustment unit;

[0135] The decision tracking unit is used to track the execution results of the forest cultivation optimization decision plan in real time through a data tracker, and to calculate the economic difference value and the required value for ecological purification twice, and to calculate the difference between the two economic difference values ​​and the required value for ecological purification. If the difference is equal to 0, it indicates that the forest cultivation optimization decision plan is executed abnormally, and if the difference is not equal to 0, it indicates that the forest cultivation optimization decision plan is executed normally;

[0136] The decision-making warning adjustment unit is used to report the system to issue a warning adjustment reminder when it is judged that the execution of the forest cultivation optimization decision-making plan is abnormal, and repeatedly calculate the required value of ecological purification in the corresponding area at the current moment, determine the vegetation planting type for forest cultivation optimization, and judge in real time whether the forest cultivation optimization decision-making plan meets the development needs of the corresponding area based on the economic benefit difference and multiple parameters, to ensure that the forest cultivation optimization decision can comprehensively consider the ecosystem simulation results of the corresponding area, reduce the deviation of the forest cultivation optimization plan, and ensure the feasibility of the ecosystem simulation and forest cultivation optimization method.

[0137] In the present invention, an ecosystem simulation and forest cultivation optimization method is provided. First, the IP address information of the ecosystem remote control area server is configured; the ecosystem basic data is obtained, and the ecological simulation end is entered. By real-time collection of planting and felling data of different geographical locations, it is judged in real time in combination with multiple parameters whether the corresponding area meets the ecological standard requirements. If not, a tree management planning scheme is formulated in combination with the geographical location and project requirements. By real-time collection of planting and felling data of different geographical locations, and by combining multiple project parameters of the corresponding area, it is judged in real time whether the corresponding area meets the ecological standard requirements. If not, a tree management planning scheme is formulated in combination with the geographical location and project requirements. When simulating the ecosystem, different geographical locations have different planting and felling of forests. It is possible to judge in real time in combination with the geographical location whether the ecosystem simulation is reasonable, thereby avoiding large deviations in the ecosystem simulation that lead to serious damage to forest resources, and increasing the reliability and certainty of the ecosystem simulation and the accuracy of forest cultivation optimization; if it is satisfied, the hazard detection end is entered, the hazard rate of the project simulated in the corresponding area is analyzed in real time, the ecosystem simulation is performed in combination with the project hazard rate, and the project changes in the corresponding area are tracked in real time to timely predict the basic model of the ecosystem simulation. By real-time analysis of the hazard rate of the project simulated in the corresponding area, the basic model of the ecosystem simulation is predicted in time. , combine the project hazard rate to simulate the ecosystem, and through real-time tracking of project changes in the corresponding area, timely predict the basic model of ecosystem simulation, so that when optimizing forest cultivation, the hazard rate of tree felling can be combined to determine the implicit hazard of the ecosystem, making the ecosystem simulation more comprehensive and reducing the limitations of ecosystem simulation. By real-time tracking of project changes in the corresponding area, the results of ecosystem simulation are predicted according to project changes, further ensuring the safety and reliability of ecosystem simulation and the accuracy of forest cultivation optimization; entering the collaborative optimization end, a forest cultivation optimization decision-making plan is formulated according to the prediction results, combined with the hazards caused by various projects for collaborative consideration, and the decision results are tracked in real time. Multi-parameters are used to judge whether the forest cultivation optimization decision-making plan meets the development needs. A forest cultivation optimization decision-making plan is formulated according to the prediction results, combined with the hazards caused by various projects for collaborative consideration, and through real-time tracking of decision results, when ecosystem simulation and forest cultivation optimization are carried out, multi-parameters can be combined to judge whether the forest cultivation optimization decision-making plan meets the development needs of the corresponding area, ensuring that the forest cultivation optimization decision can comprehensively consider the ecosystem simulation results of the corresponding area, reduce the deviation of the forest cultivation optimization plan, and ensure the feasibility of the ecosystem simulation and forest cultivation optimization methods.

[0138] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for ecosystem simulation and forest cultivation optimization, characterized in that: The method comprises the following implementation steps: Step 1: Configure the IP address information of the ecosystem remote control area server; Step 2: Obtain basic ecosystem data, enter the ecological simulation terminal, collect planting and harvesting data in different geographical locations in real time, and combine multiple parameters to determine in real time whether the corresponding area meets the ecological standard requirements. If not, formulate a tree management plan based on the geographical location and project requirements; Step 3: If the conditions are met, the system will enter the hazard detection end, analyze the hazard rate of the project simulated in the corresponding area in real time, simulate the ecosystem based on the hazard rate of the project, and timely predict the basic model of ecosystem simulation by real-time tracking the changes of the projects in the corresponding area; Step 4: Enter the collaborative optimization end, formulate a forest cultivation optimization decision plan based on the prediction results, combine the hazards caused by various projects into a coordinated consideration, track the decision results in real time, and use multiple parameters to determine whether the forest cultivation optimization decision plan meets development needs.

2. The method according to claim 1, characterized in that: The ecological simulation terminal includes a data acquisition module, an information acquisition module and a parameter judgment module; The data acquisition module includes a data acquisition unit and a multi-parameter recording unit; The data acquisition unit is used to collect ecological basic data of the corresponding area in real time through a data acquisition instrument, and the ecological basic data includes animal and plant data, water and soil data, and climate data; The multi-parameter recording unit is used to record the ecological basic data of the corresponding area in real time through a data recorder, and set the basic model of ecosystem simulation. The basic model of ecosystem simulation includes the vegetation felling standard model, vegetation planting standard model, project mining standard model, environmental standard model and ecological cultivation model of the corresponding area.

3. The method according to claim 2, characterized in that: The information acquisition module includes a felling data unit and an item record unit; The felling data unit is used to obtain vegetation felling data and vegetation planting data of tree felling in the corresponding area through remote sensing technology, and record the vegetation planting time and the standard felling period of vegetation; The project recording unit is used to track and record the project information of each corresponding area in real time through a data tracker. The project information includes old city reconstruction, vegetation felling plan, vegetation planting plan and real-time status of vegetation felling.

4. The method according to claim 3, characterized in that: The parameter judgment module includes a minimum demand unit, a parameter comparison unit, a demand warning unit and a planning management unit; The minimum demand unit is used to set the vegetation felling parameters and vegetation planting parameters under the basic model of the ecosystem simulation of the corresponding regional project information standard, and to set the minimum demand standard data of the ecosystem in the corresponding region, the minimum demand standard data including the maximum value of the vegetation felling quantity and the minimum value of the vegetation planting quantity in the corresponding region; The parameter comparison unit is used to calculate the difference between the number of vegetation planted in the corresponding area and the minimum number of vegetation planted. If the difference is greater than 0, it means that the number of vegetation planted or the number of vegetation felled meets the standard. If the difference is less than or equal to 0, it means that the number of vegetation planted or the number of vegetation felled does not meet the standard. The demand warning unit is used to report the system to issue a voice alarm when the vegetation parameter comparison result determines that the number of vegetation cut and planted does not meet the standard; The planning management unit is used to automatically plan the number of vegetation to be cut and the number of vegetation to be planted in the corresponding area according to the comparison results of the parameters of the vegetation cutting and planting, and the planned number is automatically defined according to the difference.

5. The method according to claim 1, characterized in that: The hazard detection end includes a project hazard module, a project tracking module and a simulation prediction module; The project hazard module includes a hazard calculation unit and a hazard recording unit; The hazard calculation unit is used to calculate the required value of ecological purification in the corresponding area project execution state in real time, and the calculation formula is as follows: Among them, C i is the pollutant concentration in the ecosystem before vegetation felling in the corresponding area, and C0 is the pollutant concentration after vegetation felling in the corresponding area; The hazard recording unit is used to match the corresponding planting vegetation type according to the required value of ecological purification, and set the ecological purification standard value of the corresponding area. The matching method is as follows: Step 1: Select multiple vegetation types as candidates for vegetation planting. According to the required ecological purification value under the execution status of the corresponding regional project, calculate the purification rate deviation value of the candidate vegetation. The calculation formula is as follows: Among them, A n Indicates the deviation value of the purification rate of the vegetation to be planted. n =[1,∞] represents the number of vegetation to be planted, T n Purification, W n Purification and Q n Purification is represented by the temperature, humidity and light intensity of the jth type of selected vegetation under the ideal purification state in the corresponding area, and T0, W0 and Q0 represent the average temperature, average humidity and average light intensity of the corresponding area respectively; Step 2: Calculate the geographical environment suitability of the area corresponding to the selected vegetation. The calculation formula is: Among them, P i Indicates the geographical environment suitability of the selected vegetation corresponding to the area, T n 种植 , W n 种植 and Q n 种植 They are respectively represented as the suitable planting temperature, suitable planting humidity and suitable planting light intensity of the j-th type of vegetation to be selected in the corresponding area; Step 3: Calculate the specific purification capacity value of the area corresponding to the selected vegetation. The calculation formula is as follows: in, Indicates the specific purification capacity value of the area corresponding to the selected vegetation, δ n Expressed as the standard purification capacity value of the nth selected vegetation, ε n It is expressed as the purification capacity weakening value corresponding to the nth type of vegetation to be selected; Step 4: Calculate the effective purification value of the selected vegetation in the corresponding area by combining the specific purification capacity value and the geographical environment adaptability. The calculation formula is as follows: Among them, ψ n It represents the effective purification value of the selected vegetation in the corresponding area. α and β represent the trade-off factors corresponding to the specific purification capacity value and the geographical environment adaptability respectively. The trade-off factors can be adjusted according to the ecological purification standard value of the corresponding area. Step 5: Calculate the difference between the effective purification values ​​of various candidate vegetation in the corresponding area and the ecological purification standard value, select the candidate vegetation with a difference greater than 0 as the plantable vegetation, and select the candidate vegetation with a difference less than or equal to 0 as the non-plantable vegetation.

6. The method according to claim 5, characterized in that: The project tracking module includes a project monitoring unit, a regional impact unit and a project tracking unit; The project monitoring unit is used to collect project parameters in the corresponding area in real time through a data acquisition instrument. The project parameters include the real-time status of vegetation planting, the old city renovation project in the corresponding area, the ecosystem pollution value and the required value for ecosystem purification. The real-time status of vegetation planting includes the vegetation planting years, vegetation growth value and vegetation purification value. The regional impact unit is used to calculate the proportion of vegetation plantation damage in the corresponding area in real time. The calculation formula is as follows: Among them, the vegetation planting land destruction ratio indicates the vegetation planting land destruction ratio of the corresponding area at the current moment, the destroyed vegetation planting land area indicates the planting area that has been repeatedly reclaimed for more than five times, and the total vegetation planting land area indicates the area that can be reclaimed and planted. The vegetation planting land destruction ratio of the corresponding area is spread to the surrounding area of ​​1000m as the ecosystem simulation impact range; The project tracking unit is used to track the project status and ecosystem simulation impact range of the corresponding area in real time through a data tracker.

7. The method according to claim 6, characterized in that: The simulation prediction module includes a change prediction unit and a simulation early warning unit; The change prediction unit is used to predict the abnormality of the basic model of ecosystem simulation according to the required value of ecological purification in the corresponding area. The prediction method is as follows: Step I: Use a data tracker to track the current ecological purification required value in real time, and calculate the difference between the current and historical ecological purification required values ​​in real time, set a vegetation purification rate deviation value as a standard threshold, if the difference is less than or equal to the standard threshold, it means that the ecosystem simulation basic model is normal, if the difference is greater than the standard threshold, it means that the ecosystem simulation basic model is abnormal; Step II: Counting one hour as one cycle, calculate the average value of ecological purification required for three cycles, and predict whether the basic model of ecosystem simulation in the corresponding area is feasible based on the average value of ecological purification required for three cycles. If the average value of ecological purification required for three cycles does not exceed the standard threshold, it is predicted that the basic model of ecosystem simulation in the corresponding area is executing normally; The simulation warning unit is used to report the system to issue a voice alarm when the basic model of the ecosystem simulation in the corresponding area is predicted to be abnormal.

8. The method according to claim 1, characterized in that: The collaborative optimization end includes a data receiving module, an optimization decision module and a decision tracking module; The data receiving module includes a data receiving unit and a hazard coordination unit; The data receiving unit is used to receive the prediction results and project execution parameters of the ecosystem simulation basic model in real time through a data receiver, and automatically generate a forest cultivation optimization decision plan; The hazard coordination unit is used to make economic benefit judgments based on vegetation harvesting data and coordinately analyze abnormalities in forest cultivation optimization decision-making plans, as follows: Calculate the difference between the economic value of vegetation felling at the current moment and the economic value before vegetation felling. The calculation formula is as follows: CV=σ υ; Among them, σ represents the standard deviation of the economy of vegetation felling at the current moment and before vegetation felling, υ represents the average value of the economy of vegetation felling at the current moment and before vegetation felling, CV represents the economic difference value before and after vegetation felling in the corresponding area, and the standard economic difference value is set. The difference between the economic difference value and the standard economic difference value is calculated. If the difference is less than or equal to 0.03, it means that the forest cultivation optimization decision-making plan is normal. If the difference is greater than 0.03, it means that the forest cultivation optimization decision-making plan is abnormal.

9. The method according to claim 8, characterized in that: The optimization decision module includes a decision updating unit; The decision updating unit is used to set a forest cultivation optimization decision plan model, and receive the ecosystem simulation prediction results in real time through a data receiver, and update the forest cultivation optimization decision plan in a timely manner.

10. The method according to claim 9, characterized in that: The decision tracking module includes a decision tracking unit and a decision warning adjustment unit; The decision tracking unit is used to track the execution results of the forest cultivation optimization decision plan in real time through a data tracker, and to calculate the economic difference value and the required value for ecological purification twice, and to perform difference calculation on the two economic difference values ​​and the required value for ecological purification. If the difference is equal to 0, it indicates that the forest cultivation optimization decision plan is executed abnormally, and if the difference is not equal to 0, it indicates that the forest cultivation optimization decision plan is executed normally; The decision warning adjustment unit is used to report to the system to issue a warning adjustment reminder when it is determined that the forest cultivation optimization decision plan is executed abnormally.

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