An Ecosystem Simulation and Forest Cultivation Optimization Method

Abstract

This invention discloses an ecosystem simulation and forest cultivation optimization method, belonging to the field of ecological optimization technology, and includes the following implementation steps: configuring the IP address information of the remote control area server for the ecosystem; acquiring basic ecosystem data, entering the ecological simulation terminal, and judging whether the corresponding area meets the ecological standard requirements in real time by collecting planting and harvesting data from different geographical locations and combining multiple parameters; entering the hazard detection terminal, and simulating the ecosystem by analyzing the project hazard rate in the corresponding area in real time and combining the project hazard rate; entering the collaborative optimization terminal, and formulating a forest cultivation optimization decision plan based on the prediction results, taking into account the hazards generated by multiple projects. This ecosystem simulation and forest cultivation optimization method can judge the feasibility of ecosystem simulation in real time by combining multiple parameters, and predict the ecosystem simulation results based on project changes and vegetation destruction, thereby increasing the accuracy of the implementation of the forest cultivation optimization plan.

Description

Technical Field

[0001] This invention relates to the field of ecological optimization technology, and in particular to a method for ecosystem simulation and forest cultivation optimization. Background Technology

[0002] Ecosystem simulation and forest cultivation optimization is a combination of scientific and engineering approaches aimed at optimizing forest resource management by simulating the dynamic processes and structures of natural ecosystems. Ecosystem simulation is a scientific and engineering method designed to simulate and analyze the dynamic processes, structures, and behaviors of natural ecosystems. Forest cultivation optimization is a method for managing forest resources aimed at achieving optimal forest growth, timber yield, and sustainable use, while balancing economic, ecological, and social goals. By optimizing forest cultivation strategies, timber yield and economic benefits can be maximized while ensuring forest health and sustainability. This helps reduce the 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: acquiring basic ecosystem data; constructing a model based on the basic ecosystem data to obtain a basic ecosystem model; performing ecosystem correlation simulation based on the basic ecosystem model to obtain an ecosystem correlation simulation model; obtaining optimal tree utilization rate data, and generating forest cultivation maximum utilization rate plan data based on the optimal tree utilization rate data and the ecosystem correlation simulation model; calculating the environmental restoration rate of the ecosystem correlation simulation model to obtain environmental restoration rate data, and generating forest cultivation minimum environmental impact plan data based on the environmental restoration rate data and the ecosystem correlation simulation model. This invention, based on data-driven approaches, ensures the long-term sustainability and renewable utilization of forest resources.

[0004] A search of the aforementioned patents revealed several shortcomings in ecosystem simulation and forest cultivation optimization: 1. Due to the diverse nature of ecosystem projects and varying planting and harvesting practices across different geographical locations, it is impossible to determine in real-time whether the ecosystem meets regional needs based on geographical location. This makes ecosystem simulation prone to unreasonable management practices that lead to severe damage to forest resources, affecting the accuracy of forest cultivation optimization and the stability of ecosystem simulation. 2. The aforementioned patents overemphasize tree management, focusing only on the optimal utilization rate of trees, i.e., only on the beneficial aspects of the ecosystem while ignoring the inherent hazards. This results in an incomplete ecosystem simulation, limiting its scope and affecting the accuracy of forest cultivation optimization. 3. Because ecosystems include multiple projects, it is impossible to simultaneously consider the hazards generated by multiple projects when conducting forest cultivation optimization. This prevents forest cultivation optimization from comprehensively considering whether development needs are met, making the forest cultivation optimization plan prone to deviations.

[0005] Therefore, a novel ecosystem simulation and forest cultivation optimization method is proposed to address the above problems. Summary of the Invention

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

[0007] To achieve the above objectives, 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 remote control zone server IP address information for the ecosystem;

[0009] Step 2: Obtain basic ecosystem data, enter the ecological simulation terminal, collect planting and harvesting data in real time from different geographical locations, 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 geographical location and project requirements.

[0010] Step 3: If the conditions are met, proceed to the hazard detection end. By analyzing the simulated project hazard rate in the corresponding area in real time, and combining the project hazard rate to conduct ecosystem simulation, and by tracking the project changes in the corresponding area in real time, timely prediction of the basic model of ecosystem simulation.

[0011] Step 4: Enter the collaborative optimization terminal, formulate a forest cultivation optimization decision plan based on the prediction results, take into account the hazards generated by multiple projects, track the decision results in real time, and judge whether the forest cultivation optimization decision plan meets the development needs based on multiple parameters.

[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. 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 basic ecological data of the corresponding area in real time through the data logger, and to set the basic model of ecosystem simulation. The basic model of ecosystem simulation includes the standard model of vegetation harvesting, the standard model of vegetation planting, the standard model of project mining, the standard model of environment and the ecological cultivation model of the corresponding area.

[0016] The information acquisition module includes a logging data unit and a project record unit;

[0017] The logging data unit is used to obtain vegetation logging data and vegetation planting data of tree logging in the corresponding area through remote sensing technology, and to record the vegetation planting duration and the standard logging years of vegetation.

[0018] The project recording unit is used to track and record project information in each corresponding area in real time through a data tracker. The project information includes urban renewal, vegetation harvesting planning, vegetation planting planning, and real-time status of vegetation harvesting.

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

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

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

[0022] The demand early warning unit is used to report to the system and issue a voice alarm when the vegetation parameter comparison results determine that the amount of vegetation cut and planted has not met the standard.

[0023] The planning and management unit is used to automatically plan the number of vegetation cuts and the number of vegetation planted in the corresponding area based on the parameter comparison results of vegetation cutting and planting. The planned number is automatically defined based on the difference.

[0024] The hazard detection terminal 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 in real time the required ecological purification value for the corresponding area under the project execution status. The calculation formula is as follows:

[0027]

[0028] Among them, C i C0 represents the pollutant concentration in the ecosystem before vegetation was cut down in the corresponding area, while C0 represents the pollutant concentration after vegetation was cut down in the corresponding area.

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

[0030] Step 1: Select multiple vegetation types as candidates for planting. Based on the required ecological purification values ​​under the project's execution status in the corresponding area, calculate the purification rate deviation value of the candidate vegetation. The calculation formula is as follows:

[0031]

[0032] Among them, A n This indicates the deviation value of the purification rate of the candidate vegetation. n = [1, ∞] represents the number of plants to be selected, T n 净化 W n 净化 and Q n 净化 T0, W0, and Q0 represent the temperature, humidity, and light intensity of the candidate vegetation of type j under ideal purification conditions in the corresponding area, respectively. T0, W0, and Q0 represent the average temperature, average humidity, and average light intensity of the corresponding area, respectively.

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

[0034]

[0035] Among them, P i T represents the degree of geographical environmental suitability of the area corresponding to the candidate vegetation. n 种植 W n 种植 and Q n 种植 These represent the suitable planting temperature, suitable planting humidity, and suitable planting light intensity for the j-th type of candidate vegetation in the corresponding area, respectively.

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

[0037]

[0038] in, δ represents the specific purification capacity value of the area corresponding to the candidate vegetation. n Let ε represent the standard purification capacity value of the nth candidate vegetation type. n This represents the reduction in purification capacity corresponding to the nth candidate vegetation type;

[0039] Step 4: Calculate the effective purification value of the candidate 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] Where, ψ n This represents the effective purification value of the candidate vegetation in the corresponding area. α and β represent the specific purification capacity value and the trade-off factor corresponding to the geographical environment adaptability, respectively. The trade-off factor can be adjusted according to the ecological purification standard value of the corresponding area.

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

[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 value required 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 damage in the corresponding region in real time. The calculation formula is as follows:

[0046]

[0047] Among them, the vegetation planting area destruction ratio represents the vegetation planting area destruction ratio of the corresponding area at the current moment, the destroyed vegetation planting area represents the planting area that has been repeatedly cultivated more than five times, the total vegetation planting area represents the area that can be cultivated and planted, and the vegetation planting area destruction ratio of the corresponding area is used as the range of ecosystem simulation impact within a 1000m radius.

[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 anomalies in the basic model of ecosystem simulation based on the ecological purification requirements of the corresponding area. The prediction method is as follows:

[0051] Step 1: Track the required ecological purification value at the current moment in real time using a data tracker, and calculate the difference between the required ecological purification value at the current moment and the historical moment in real time. Set a standard threshold for the deviation of the vegetation purification rate. If the difference is less than or equal to the standard threshold, it means that the basic model of the ecosystem simulation is normal. If the difference is greater than the standard threshold, it means that the basic model of the ecosystem simulation is abnormal.

[0052] Step II: Calculate the average value required for ecological purification over three cycles, taking one hour as one cycle. Based on the average value required for ecological purification over three cycles, predict whether the basic model for ecosystem simulation in the corresponding area is feasible. If the average value required for ecological purification over three cycles does not exceed the standard threshold, then the basic model for ecosystem simulation in the corresponding area is predicted to be running normally.

[0053] The simulation early warning unit is used to report to the system and issue a voice alarm when the basic model for simulating the ecosystem in the predicted area malfunctions.

[0054] The collaborative optimization terminal includes a data receiving module, an optimization decision-making 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 the data receiver, and automatically generate forest cultivation optimization decision-making schemes.

[0057] The hazard coordination unit is used to assess economic benefits based on vegetation harvesting data and to collaboratively analyze anomalies in forest cultivation optimization decision-making schemes, as detailed below:

[0058] The economic difference between the current time of vegetation clearing and the time before vegetation clearing is calculated using the following formula:

[0059]

[0060] Where σ represents the standard deviation of the current economic value of vegetation harvesting compared to the value before vegetation harvesting, υ represents the average value of the current economic value of vegetation harvesting compared to the value before vegetation harvesting, and CV represents the economic difference before and after vegetation harvesting in the corresponding area. A standard economic difference value is set, and 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 indicates that the forest cultivation optimization decision-making scheme is normal. If the difference is greater than 0.03, it indicates that the forest cultivation optimization decision-making scheme is abnormal.

[0061] The optimization decision-making module includes a decision update unit;

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

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

[0064] The decision tracking unit is used to track the execution results of the forest cultivation optimization decision scheme in real time through the data tracking device, and to calculate the economic difference value and the value required for ecological purification a second time. The difference between the two economic difference values ​​and the value required for ecological purification is calculated. If the difference is equal to 0, it indicates that the execution of the forest cultivation optimization decision scheme is abnormal. If the difference is not equal to 0, it indicates that the execution of the forest cultivation optimization decision scheme is normal.

[0065] The decision-making early warning and adjustment unit is used to report to the system and issue an early warning and adjustment reminder when it is determined that the forest cultivation optimization decision-making scheme is being executed abnormally.

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

[0067] 1. In this invention, by setting up an ecological simulation terminal, when performing ecosystem simulation and forest cultivation optimization, it is possible 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. This allows the ecosystem simulation to be judged in real time in combination with the geographical location to determine whether the ecosystem simulation is reasonable, avoids large deviations in the ecosystem simulation that could lead to serious damage to forest resources, and increases the reliability and certainty of the ecosystem simulation and the accuracy of forest cultivation optimization.

[0068] 2. In this invention, by setting up a hazard detection terminal, when performing ecosystem simulation and forest cultivation optimization, the changes in the corresponding area are tracked in real time, and the basic model of ecosystem simulation is predicted in a timely manner. This reduces the limitations of ecosystem simulation during forest cultivation optimization, and the ecosystem simulation results are predicted based on project changes, further ensuring the safety and reliability of ecosystem simulation and the accuracy of forest cultivation optimization.

[0069] 3. In this invention, by setting up a collaborative optimization terminal, when performing ecosystem simulation and forest cultivation optimization, a forest cultivation optimization decision scheme is formulated based on the prediction results. The decision scheme is combined with multiple parameters to judge in real time whether it meets the development needs of the corresponding region, thereby reducing the deviation of the forest cultivation optimization scheme and ensuring the feasibility of the ecosystem simulation and forest cultivation optimization method. Attached Figure Description

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

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

[0072] Figure 3 This is a schematic diagram of the hazard detection terminal of an ecosystem simulation and forest cultivation optimization method according to the present invention;

[0073] Figure 4 This is a schematic diagram of the architecture of the collaborative optimization end of the ecosystem simulation and forest cultivation optimization method of the present invention. Detailed Implementation

[0074] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0075] Example 1

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

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

[0078] Step 2: Obtain basic ecosystem data, enter the ecological simulation terminal, collect planting and harvesting data in real time from different geographical locations, 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 geographical location and project requirements.

[0079] Step 3: If the conditions are met, proceed to the hazard detection end. By analyzing the simulated project hazard rate in the corresponding area in real time, and combining the project hazard rate to conduct ecosystem simulation, and by tracking the project changes in the corresponding area in real time, timely prediction of the basic model of ecosystem simulation.

[0080] Step 4: Enter the collaborative optimization terminal, formulate a forest cultivation optimization decision plan based on the prediction results, take into account the hazards generated by multiple projects, track the decision results in real time, and judge whether the forest cultivation optimization decision plan meets the development needs based on multiple parameters.

[0081] The ecological simulation module 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 basic ecological data of the corresponding area in real time through a data acquisition instrument. The basic ecological data includes animal and plant data, water and soil data, and climate data.

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

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

[0086] The logging data unit is used to obtain vegetation logging data and vegetation planting data of tree logging in the corresponding area through remote sensing technology, and to record the vegetation planting duration and the standard logging years of vegetation.

[0087] The project recording unit is used to track and record project information in each corresponding area in real time through a data tracker. The project information includes urban renewal, vegetation harvesting planning, vegetation planting planning, and real-time status of vegetation harvesting. It combines multiple project parameters of the corresponding area to determine in real time whether the corresponding area meets the ecological standard requirements. If it does not meet the requirements, a tree management plan is formulated based on the geographical location and project requirements.

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

[0089] The minimum requirement unit is used to set the vegetation harvesting parameters and vegetation planting parameters under the basic model of the ecosystem simulation standard for the corresponding area, and to set the minimum requirement standard data for the corresponding area's ecosystem. The minimum requirement standard data includes the maximum value of vegetation felling and the minimum value of vegetation planting in the corresponding area.

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

[0091] The demand early warning unit is used to report to the system and issue a voice alarm when the vegetation parameter comparison results determine that the amount of vegetation cut and planted has not met the standard.

[0092] The planning and management unit is used to automatically plan the amount of vegetation to be cut down and the amount of vegetation to be planted in the corresponding area based on the parameter comparison results of vegetation felling and planting. The planned amount is automatically defined based on the difference. Combined with the damage rate of tree felling, the hidden hazards of the ecosystem are determined, making the ecosystem simulation more comprehensive and reducing the limitations of ecosystem simulation.

[0093] Example 2

[0094] Please refer to Figure 3As shown: Based on Example 1, the hazard detection terminal includes a project hazard module, a project tracking module, and a simulation prediction module;

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

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

[0097]

[0098] Among them, C i C0 represents the pollutant concentration in the ecosystem before vegetation was cut down in the corresponding area, while C0 represents the pollutant concentration after vegetation was cut down in the corresponding area.

[0099] The hazard recording unit is used to match the corresponding vegetation type with the values ​​required for ecological purification, and to set the ecological purification standard value for the corresponding area. The matching method is as follows:

[0100] Step 1: Select multiple vegetation types as candidates for planting. Based on the required ecological purification values ​​under the project's execution status in the corresponding area, calculate the purification rate deviation value of the candidate vegetation. The calculation formula is as follows:

[0101]

[0102] Among them, A n This indicates the deviation value of the purification rate of the candidate vegetation. n = [1, ∞] represents the number of plants to be selected, T n 净化 W n 净化 and Q n 净化 T0, W0, and Q0 represent the temperature, humidity, and light intensity of the candidate vegetation of type j under ideal purification conditions in the corresponding area, respectively. T0, W0, and Q0 represent the average temperature, average humidity, and average light intensity of the corresponding area, respectively.

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

[0104]

[0105] Among them, P i T represents the degree of geographical environmental suitability of the area corresponding to the candidate vegetation. n 种植 W n 种植 and Q n 种植These represent the suitable planting temperature, suitable planting humidity, and suitable planting light intensity for the j-th type of candidate vegetation in the corresponding area, respectively.

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

[0107]

[0108] in, δ represents the specific purification capacity value of the area corresponding to the candidate vegetation. n Let ε represent the standard purification capacity value of the nth candidate vegetation type. n This represents the reduction in purification capacity corresponding to the nth candidate vegetation type;

[0109] Step 4: Calculate the effective purification value of the candidate 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] Where, ψ n This represents the effective purification value of the candidate vegetation in the corresponding area. α and β represent the specific purification capacity value set (already set in the basic model of ecosystem simulation) and the trade-off factor corresponding to the geographical environment adaptability, respectively. 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 value and the ecological purification standard value of various candidate vegetation in the corresponding area. Select candidate vegetation with a difference greater than 0 as plantable vegetation and select candidate vegetation with a difference less than or equal to 0 as unplantable vegetation. Combined with the damage rate of tree harvesting, determine the hidden harm of the ecosystem, so as to make the ecosystem simulation more comprehensive and reduce the limitations of the ecosystem simulation.

[0113] The project tracking module includes a project monitoring unit, a regional impact unit, and a 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 value required 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 cover destruction in the corresponding area in real time. The calculation formula is as follows:

[0116]

[0117] Among them, the vegetation planting area destruction ratio represents the vegetation planting area destruction ratio of the corresponding area at the current moment, the destroyed vegetation planting area represents the planting area that has been repeatedly cultivated more than five times, the total vegetation planting area represents the area that can be cultivated and planted, and the vegetation planting area destruction ratio of the corresponding area is used as the range of ecosystem simulation impact within a 1000m radius.

[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 tracking the project changes in the corresponding area in real time, the system predicts the ecosystem simulation results based on the project changes, thereby ensuring the safety and reliability of the ecosystem simulation and the accuracy of forest cultivation optimization.

[0119] Example 3

[0120] Please refer to Figure 4 As shown: Based on Embodiment 1, the simulation prediction module includes a change prediction unit and a simulation early warning unit;

[0121] The change prediction unit is used to predict anomalies in the basic model of ecosystem simulation based on the values ​​required for ecological purification in the corresponding area. The prediction method is as follows:

[0122] Step 1: Track the required ecological purification value at the current moment in real time using a data tracker, and calculate the difference between the required ecological purification value at the current moment and the historical moment in real time. Set a standard threshold for the deviation of the vegetation purification rate. If the difference is less than or equal to the standard threshold, it means that the basic model of the ecosystem simulation is normal. If the difference is greater than the standard threshold, it means that the basic model of the ecosystem simulation is abnormal.

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

[0124] The simulation early warning unit is used to report to the system and issue a voice alarm when the basic model for simulating the ecosystem in the predicted area malfunctions.

[0125] The collaborative optimization module includes a data receiving module, an optimization decision-making 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 forest cultivation optimization decision-making schemes;

[0128] The hazard synergy unit is used to assess economic benefits based on vegetation harvesting data and to collaboratively analyze anomalies in forest cultivation optimization decision-making schemes, as detailed below:

[0129] The economic difference between the current time of vegetation clearing and the time before vegetation clearing is calculated using the following formula:

[0130]

[0131] Where σ represents the standard deviation of the current economic benefits of vegetation harvesting compared to the standard deviation before vegetation harvesting, υ represents the average economic benefits of the current vegetation harvesting compared to the standard deviation before vegetation harvesting, and CV represents the economic difference before and after vegetation harvesting in the corresponding region. A standard economic difference value is set, and 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 indicates that the forest cultivation optimization decision-making scheme is normal. If the difference is greater than 0.03, it indicates that the forest cultivation optimization decision-making scheme is abnormal. This can determine whether the forest cultivation optimization decision-making scheme meets the development needs of the corresponding region and ensure that the forest cultivation optimization decision-making can fully consider the ecosystem simulation results of the corresponding region (this can also be combined with the harm rate of different projects, which includes water waste and soil damage caused by the implementation of different projects in the corresponding region).

[0132] The optimization decision-making module includes a decision update unit;

[0133] The decision update unit is used to set up a forest cultivation optimization decision scheme model (automatically generating a forest cultivation optimization decision scheme based on vegetation harvesting parameters and the purification rate of candidate planting vegetation, and setting the forest cultivation optimization decision scheme according to the ecological purification requirements of the corresponding area), and to receive the ecosystem simulation prediction results in real time through the data receiver and update the forest cultivation optimization decision scheme in a timely manner.

[0134] The decision tracking module includes a decision tracking unit and a decision early warning and 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 the data tracker, and to calculate the economic difference value and the value required for ecological purification a second time. The difference between the two economic difference values ​​and the value required for ecological purification is calculated. If the difference is equal to 0, it indicates that the execution of the forest cultivation optimization decision plan is abnormal. If the difference is not equal to 0, it indicates that the execution of the forest cultivation optimization decision plan is normal.

[0136] The decision-making early warning and adjustment unit is used to report to the system to issue an early warning and adjustment reminder when it judges that the forest cultivation optimization decision-making scheme is abnormal. It also repeatedly calculates the ecological purification required value for the corresponding area at the current time, determines the vegetation planting type for forest cultivation optimization, and judges in real time whether the forest cultivation optimization decision-making scheme meets the development needs of the corresponding area based on the difference in economic benefits and multiple parameters. This ensures that the forest cultivation optimization decision can fully consider the ecosystem simulation results of the corresponding area, reduce the deviation of the forest cultivation optimization scheme, and ensure the feasibility of ecosystem simulation and forest cultivation optimization methods.

[0137] This invention discloses an ecosystem simulation and forest cultivation optimization method. First, it configures the IP address information of the remote control area server for the ecosystem. Then, it acquires basic ecosystem data and enters the ecosystem simulation terminal. By collecting planting and harvesting data from different geographical locations in real time, and combining multiple parameters, it determines whether the corresponding area meets ecological standards. If not, it formulates a tree management plan based on geographical location and project requirements. This ensures that different geographical locations have different planting and harvesting patterns during ecosystem simulation, allowing for real-time assessment of the simulation's rationality and preventing significant deviations that could lead to severe damage to forest resources. This increases the reliability and accuracy of ecosystem simulation and forest cultivation optimization. If the conditions are met, it enters the hazard detection terminal. By analyzing the simulated project hazard rate in the corresponding area in real time, it performs ecosystem simulation based on the hazard rate and tracks project changes in the corresponding area in real time to predict the basic ecosystem simulation model. This approach combines project hazard rates with ecosystem simulation, and by tracking project changes in corresponding areas in real time, it predicts the underlying ecosystem simulation model. This allows for a more comprehensive ecosystem simulation, reducing its limitations, and ensuring the safety and reliability of the simulation by predicting project changes in corresponding areas, thus guaranteeing the accuracy of forest cultivation optimization. Moving to the collaborative optimization stage, it formulates forest cultivation optimization decision-making schemes based on the prediction results, considering the hazards generated by multiple projects. Real-time tracking of decision-making results and multi-parameter assessment of whether the forest cultivation optimization decision-making scheme meets development needs further ensures the feasibility of both the ecosystem simulation and forest cultivation optimization methods.

[0138] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. An ecosystem simulation and forest cultivation optimization method, characterized by, The method comprises the following implementation steps: Step 1: configure the IP address information of the ecosystem remote control area server; Step 2: obtain the ecosystem basic data, enter the ecological simulation end, collect the planting and felling data of different geographical positions in real time, combine the multi-parameter real-time judgment to determine whether the corresponding area meets the ecological standard requirement, if not, combine the geographical position and project demand to develop a tree management planning scheme; Step 3: if it is satisfied, enter the hazard detection end, analyze the project hazard rate of the corresponding area simulation in real time, combine the project hazard rate to simulate the ecological system, and track the project changes of the corresponding area in real time to predict the ecological system simulation basic model in time; Step 4: enter the collaborative optimization end, develop a forest cultivation optimization decision scheme according to the prediction result, consider the hazards generated by multiple projects in collaboration, and track the decision result in real time to determine whether the forest cultivation optimization decision scheme meets the development demand through multi-parameter judgment; The hazard detection end comprises a project hazard module, a project tracking module and a simulation prediction module; The project hazard module comprises a hazard calculation unit and a hazard recording unit; The hazard calculation unit is used for real-time calculation of the ecological purification required value of the corresponding area project execution state; The hazard recording unit is used for matching the corresponding planting vegetation type according to the ecological purification required value, and setting the ecological purification standard value of the corresponding area; The project tracking module comprises a project monitoring unit, a region influence unit and a project tracking unit; The project monitoring unit is used for real-time collection of project parameters on the corresponding area through a data collection instrument, and the project parameters comprise vegetation planting real-time state, old city reconstruction project on the corresponding area, ecological system pollution value and ecological system purification required value, and the vegetation planting real-time state comprises vegetation planting age, vegetation growth value and vegetation purification value; The region influence unit is used for real-time calculation of the vegetation planting land destruction proportion of the corresponding area; The project tracking unit is used for real-time tracking of the project state and the ecological system simulation influence range of the corresponding area through a data tracking instrument; The simulation prediction module comprises a change prediction unit and a simulation early warning unit; The change prediction unit is used for predicting the abnormality of the ecological system simulation basic model according to the ecological purification required value of the corresponding area; The simulation early warning unit is used for issuing a voice alarm when the ecological system simulation basic model of the corresponding area is predicted to execute abnormally; The collaborative optimization end comprises a data receiving module, an optimization decision module and a decision tracking module; The data receiving module comprises a data receiving unit and a hazard coordination unit; The data receiving unit is used for real-time receiving of the prediction result and the project execution parameter of the ecological system simulation basic model through a data receiver, and automatically generating a forest cultivation optimization decision scheme; The hazard coordination unit is used for economic benefit judgment according to the vegetation felling data, and collaborative analysis of the abnormality of the forest cultivation optimization decision scheme.

2. The method of claim 1, wherein: The ecological simulation end comprises a data acquisition module, an information acquisition module and a parameter judgment module; The data acquisition module comprises a data collection unit and a multi-parameter recording unit; The data acquisition unit is used for collecting ecological basic data of the corresponding region in real time by 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 for recording ecological basic data of the corresponding region in real time by a data recorder, and setting an ecological system simulation basic model, and the ecological system simulation basic model includes a vegetation felling standard model, a vegetation planting standard model, a project exploitation standard model, an environment standard model and an ecological cultivation model of the corresponding region.

3. The method of claim 2, wherein: The information acquisition module includes a felling data unit and a project recording unit. The felling data unit is used for obtaining vegetation felling data and vegetation planting data of tree felling in the corresponding region by remote sensing technology, and recording vegetation planting time length and vegetation standard felling period. The project recording unit is used for tracking and recording project information of each corresponding region in real time by a data tracking instrument, and the project information includes old city reconstruction, vegetation felling planning, vegetation planting planning and vegetation felling real-time state.

4. The method of claim 3, wherein: 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 for setting vegetation felling parameters and vegetation planting parameters under the standard ecological system simulation basic model of the corresponding region project information, and setting ecological system minimum demand standard data of the corresponding region, and the minimum demand standard data includes the maximum value of the number of vegetation felling and the minimum value of the number of vegetation planting in the corresponding region. The parameter comparison unit is used for calculating the difference between the number of vegetation planting and the minimum value of the number of vegetation planting in the corresponding region, and if the difference is greater than 0, it indicates that the number of vegetation planting or the number of vegetation felling meets the standard, and if the difference is less than or equal to 0, it indicates that the number of vegetation planting or the number of vegetation felling does not meet the standard. The demand warning unit is used for issuing a voice alarm when the vegetation parameter comparison result determines that the number of vegetation felling and planting does not meet the standard. The planning management unit is used for automatically planning the number of vegetation felling and planting in the corresponding region according to the parameter comparison result of vegetation felling and planting, and the planning quantity is automatically defined according to the difference.

5. The method of claim 1, wherein: The hazard calculation unit is used for calculating the ecological purification required value in the project execution state of the corresponding region in real time, and the calculation formula is as follows: ； wherein, is the concentration of the pollutant in the ecosystem corresponding to the area before the vegetation was felled, is the concentration of the pollutant in the ecosystem corresponding to the area after the vegetation was felled; The hazard recording unit is used for matching the corresponding planting vegetation type according to the ecological purification required value, and setting the ecological purification standard value of the corresponding region, and the matching method is as follows: Step 1, select multiple vegetation species as vegetation planting candidates, calculate the purification rate deviation value of the selected vegetation according to the ecological purification required value in the project execution state of the corresponding region, and the calculation formula is as follows: ； wherein, represents the purification rate deviation value of the selected vegetation, n=[1,∞] represents the planting number of the selected vegetation, , and respectively represent the temperature, humidity and light intensity of the selected vegetation of the jth type in the ideal purification state of the corresponding area, , and respectively represent the average temperature, average humidity and average light intensity of the corresponding area; Step 2, calculate the geographical environment adaptation degree of the selected vegetation in the corresponding region, and the calculation formula is as follows: ； wherein, represents the geographical environment adaptation degree of the corresponding region of the candidate vegetation, , and respectively represent the suitable planting temperature, suitable planting humidity and suitable planting light intensity of the corresponding region for the jth type of candidate vegetation; Step 3, calculate the specific purification capacity value of the selected vegetation in the corresponding region, and the calculation formula is as follows: ； wherein, represents a specific purification capacity value of the corresponding region of the candidate vegetation, represents a standard purification capacity value of the nth candidate vegetation, represents a purification capacity weakening value corresponding to the nth candidate vegetation; Step 4, calculate the purification effective value of the selected vegetation in the corresponding region by combining the specific purification capacity value and the geographical environment adaptation degree, and the calculation formula is as follows: ； wherein, represents the purification effective value of the candidate vegetation in the corresponding region, and respectively represent the set specific purification capacity value and the corresponding trade-off factor of the geographical environment adaptation degree, and the trade-off factor can be adjusted according to the ecological purification standard value of the corresponding region. Step 5, the difference between the purification effective value of the plurality of candidate vegetation in the corresponding region and the ecological purification standard value is calculated, the candidate vegetation with a difference greater than 0 is selected as the plantable vegetation, and the candidate vegetation with a difference less than or equal to 0 is selected as the unplantable vegetation.

6. The method of claim 1, wherein: The area influence unit is used to calculate the vegetation planting land damage ratio of the corresponding region in real time, and the calculation formula is as follows: ； Wherein, the vegetation planting land damage ratio represents the vegetation planting land damage ratio of the corresponding region at the current time, the damaged vegetation planting land area represents the planting area exceeding five times of repeated reclamation, and the total vegetation planting land area represents the reclamation planting area, and the vegetation planting land damage ratio of the corresponding region is taken as the ecological system simulation influence range within the range of 1000m diffusion around.

7. The method of claim 1, wherein: The change prediction unit is used to predict the abnormality of the ecological system simulation basic model according to the ecological purification required value of the corresponding region, and the prediction method is as follows: Step I, the data tracking instrument is used to track the ecological purification required value at the current time in real time, and the difference between the ecological purification required value at the current time and the historical time is calculated in real time, a vegetation purification rate deviation value is set as a standard threshold value, if the difference is less than or equal to the standard threshold value, it indicates that the ecological system simulation basic model is normal, and if the difference is greater than the standard threshold value, it indicates that the ecological system simulation basic model is abnormal; Step II: one hour is taken as one period, the average value of the ecological purification required value of three periods is calculated, and whether the ecological system simulation basic model of the corresponding region is feasible is predicted according to the average value of the ecological purification required value of three periods, if the average value of the ecological purification required value of three periods does not exceed the standard threshold value, it is predicted that the ecological system simulation basic model of the corresponding region is executed normally.

8. The method of claim 1, wherein: The hazard coordination unit is used to judge the economic benefit according to the vegetation felling data, and to coordinately analyze the abnormality of the forest cultivation optimization decision scheme, and the specific method is as follows: The economic difference value between the current time vegetation felling and the vegetation felling before the vegetation felling is calculated, and the calculation formula is as follows: ； wherein, represents the standard deviation of the economy of the current time of vegetation harvesting and before vegetation harvesting, represents the average value of the economy of the current time of vegetation harvesting and before vegetation harvesting, represents the economic difference value before and after vegetation harvesting in the corresponding area, the standard economic difference value is set, the economic difference value is calculated by difference with the standard economic difference value, and if the difference is less than or equal to 0.03, it indicates that the forest cultivation optimization decision scheme is normal, and if the difference is greater than 0.03, it indicates that the forest cultivation optimization decision scheme is abnormal.

9. The method of claim 8, wherein: The optimization decision module comprises a decision updating unit. The decision updating unit is used to set a forest cultivation optimization decision scheme model, and receives the ecological system simulation prediction result in real time through a data receiver, and updates the forest cultivation optimization decision scheme in time.

10. The method of claim 9, wherein: The decision tracking module comprises a decision tracking unit and a decision early warning adjustment unit. The decision tracking unit is used to track the forest cultivation optimization decision scheme execution result in real time through a data tracking instrument, and to calculate the economic difference value and the ecological purification required value twice, and to calculate the difference between the two economic difference values and the ecological purification required values, if the difference is equal to 0, it indicates that the forest cultivation optimization decision scheme execution is abnormal, and if the difference is not equal to 0, it indicates that the forest cultivation optimization decision scheme execution is normal. The decision early warning adjustment unit is used to report a warning adjustment reminder when it is judged that the forest cultivation optimization decision scheme execution is abnormal.

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