A resource utilization ecological evaluation method and system, and a storage and medium

Abstract

The present application relates to a kind of resource utilization ecological evaluation method, system and storage and medium, belong to resource utilization evaluation technical field, the present application is by obtaining the ecological resource data information of demand in target area, based on the ecological resource data information of demand in target area, the ecological resource data information in target area is estimated and evaluated, obtains ecological carrying capacity estimation result, to carry out resource utilization analysis according to ecological carrying capacity estimation result, obtains resource utilization analysis result, finally, according to resource utilization analysis result, the ecological resource utilization of target area is dynamically adjusted.The present application is by according to the ecological resource data information of demand in target area, the ecological resource data information in target area is analyzed to carry out ecological carrying capacity situation, to assess whether current ecological system can be self-sufficient, in the case where not destroying ecological system, the development of reasonable arrangement resource, the green concept of ecological system is taken into account.

Description

Technical Field

[0001] The present invention relates to the technical field of resource utilization evaluation, and in particular to a resource utilization ecological evaluation method, system, storage and medium. Background Art

[0002] Existing technologies mainly focus on three major directions: ecosystem service value assessment, resource carrying capacity analysis, and ecological footprint accounting. Their technological evolution presents the following phased characteristics: the current evaluation system mostly focuses on a single link and lacks a dynamic feedback mechanism covering the entire process, resulting in huge deviations in the resilience assessment of ecosystems in monitoring, leading to low resource utilization or excessive resource utilization, causing ecosystem damage. Summary of the Invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a resource utilization ecological evaluation method, system, storage and medium.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a resource utilization ecological evaluation method, comprising the following steps:

[0006] Building an edge computing network to collect ecological resource data information in the target area through the edge computing network;

[0007] Obtaining ecological resource data information required in a target area, and performing an estimation and evaluation of the ecological resource data information in the target area based on the ecological resource data information required in the target area to obtain an ecological carrying capacity estimation result;

[0008] Perform resource utilization analysis based on the ecological carrying capacity estimation result to obtain resource utilization analysis results;

[0009] Dynamically adjust the ecological resource utilization of the target area based on the resource utilization analysis results.

[0010] Furthermore, in the resource utilization ecological evaluation method, an edge computing network is constructed, specifically:

[0011] By arranging sensors in the target area, setting up several edge computing nodes in the target area, configuring the geographical locations of the edge computing nodes, building an edge computing network, and calculating the distance value of data transmission based on the geographical locations of the edge computing nodes and the location of each sensor;

[0012] estimating a response speed of the edge computing network according to the distance value of the data transmission, setting a response speed threshold of the edge computing network, and determining whether the response speed of the edge computing network is greater than the response speed threshold of the edge computing network;

[0013] When the response speed of the edge computing network is greater than the response speed threshold of the edge computing network, configuring according to the geographical location of the current edge computing node and the number of edge computing nodes;

[0014] When the response speed of the edge computing network is not greater than the response speed threshold of the edge computing network, the geographical location of the current edge computing node and the number of edge computing nodes are reconfigured until the response speed of the edge computing network is greater than the response speed threshold of the edge computing network.

[0015] Furthermore, in the resource utilization ecological assessment method, the ecological resource data information required in the target area is obtained, specifically including:

[0016] Obtaining historical ecological resource data information of demand in a target area, building an ecological resource data prediction model based on a deep neural network, and inputting the historical ecological resource data information of demand in the target area into the ecological resource data prediction model for training;

[0017] Predicting ecological resource data information in the current area according to the ecological resource data prediction model, generating first ecological resource data information, and collecting the area of ​​the ecological mining area increased within a preset time;

[0018] According to the area of ​​ecological mining area increased within the preset time, the ecological resource data information required for the area of ​​ecological mining area increased within the current preset time is estimated;

[0019] The ecological resource data information required for the increased ecological mining area within the current preset time and the first ecological resource data information are counted to obtain the ecological resource data information required in the target area.

[0020] Furthermore, in the resource utilization ecological evaluation method, the ecological resource data information in the target area is estimated and evaluated based on the ecological resource data information required in the target area to obtain an ecological carrying capacity estimation result, specifically:

[0021] Generate allocable ecological resource data according to the ecological resource data information in the target area, and determine whether the ecological resource data information required in the target area is greater than the allocable ecological resource data;

[0022] When the ecological resource data information required in the target area is greater than the ecological resource data that can be allocated, generating an estimated result of reaching the upper limit of the ecological carrying capacity;

[0023] When the ecological resource data information required in the target area is not greater than the ecological resource data that can be allocated, generating an estimated result that the ecological carrying capacity upper limit has not been reached;

[0024] An ecological carrying capacity estimation result is generated according to the estimation result of reaching the upper limit of the ecological carrying capacity or the estimation result of not reaching the upper limit of the ecological carrying capacity, and the ecological carrying capacity estimation result is output.

[0025] Furthermore, in the resource utilization ecological evaluation method, a resource utilization analysis is performed based on the ecological carrying capacity estimation result to obtain the resource utilization analysis result, specifically:

[0026] When the ecological carrying capacity estimation result is an estimation result that reaches the upper limit of the ecological carrying capacity, generating an analysis result of resource exhaustion and outputting the analysis result of resource exhaustion;

[0027] When the ecological carrying capacity estimation result is an estimation result that reaches the upper limit of the ecological carrying capacity, an analysis result of resource utilization that can be continuously allocated is generated and output.

[0028] Furthermore, in the resource utilization ecological evaluation method, the ecological resource utilization of the target area is dynamically adjusted according to the resource utilization analysis results, specifically:

[0029] When the resource utilization analysis result is an analysis result of resource exhaustion, the excess resource data information is recalculated, and the ecological resource utilization of the target area is dynamically adjusted according to the excess resource data information;

[0030] When the resource utilization analysis result is an analysis result that resource utilization can be continuously allocated, the ecological resource data information of the target area is evenly superimposed, and the ecological resources of the current target area are recalculated based on the evenly superimposed ecological resource data information of the target area;

[0031] When the resource utilization analysis result is an analysis result that resource utilization can be continuously allocated, continuously and evenly superimposing ecological resource data information of the target area, and searching for the largest superimposed resource data information;

[0032] The ecological resource utilization of the target area is dynamically adjusted according to the maximum superimposed resource data information.

[0033] The second aspect of the present invention provides a resource utilization ecological evaluation system, including a memory and a processor, wherein the memory includes a resource utilization ecological evaluation method program, and when the resource utilization ecological evaluation method program is executed by the processor, the steps of any one of the resource utilization ecological evaluation methods are implemented.

[0034] A third aspect of the present invention provides a computer-readable storage medium, comprising a resource utilization ecological evaluation method program, which, when executed by a processor, implements any one of the steps of the resource utilization ecological evaluation method.

[0035] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0036] The present invention constructs an edge computing network, collects ecological resource data information in the target area through the edge computing network, and then obtains the ecological resource data information required in the target area. Based on the ecological resource data information required in the target area, the ecological resource data information in the target area is estimated and evaluated to obtain an ecological carrying capacity estimation result. Then, a resource utilization analysis is performed based on the ecological carrying capacity estimation result to obtain the resource utilization analysis result. Finally, the ecological resource utilization of the target area is dynamically adjusted based on the resource utilization analysis result. The present invention analyzes the ecological carrying capacity of the ecological resource data information in the target area based on the ecological resource data information required in the target area, thereby evaluating whether the current ecosystem is self-sufficient, rationally arranging resource development without destroying the ecosystem, and taking into account the green concept of the ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, without paying any creative work, they can also obtain drawings of other embodiments based on these drawings.

[0038] Figure 1 The overall flow chart of the resource utilization ecological assessment method is shown;

[0039] Figure 2 Shows the system block diagram of the resource utilization ecological evaluation system. DETAILED DESCRIPTION

[0040] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other.

[0041] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0042] like Figure 1 As shown, the first aspect of the present invention provides a resource utilization ecological evaluation method, comprising the following steps:

[0043] S102: Build an edge computing network and collect ecological resource data information in the target area through the edge computing network;

[0044] S104: Obtaining ecological resource data information required in the target area, and performing an estimation and evaluation of the ecological resource data information in the target area based on the ecological resource data information required in the target area to obtain an ecological carrying capacity estimation result;

[0045] S106: Perform resource utilization analysis based on the ecological carrying capacity estimation result to obtain resource utilization analysis results;

[0046] S108: Dynamically adjust the ecological resource utilization of the target area based on the resource utilization analysis results.

[0047] It should be noted that this invention analyzes the ecological carrying capacity of the target area's ecological resource data based on the required ecological resource data in the target area, thereby assessing whether the current ecosystem is self-sufficient and rationally arranging resource development without damaging the ecosystem, taking into account the green concept of the ecosystem. Ecological resource data includes environmental monitoring data, water resource data, soil data, and ecological process data (involving various natural processes in the ecosystem, such as material circulation and energy flow).

[0048] Furthermore, in the resource utilization ecological evaluation method, an edge computing network is constructed, specifically:

[0049] By arranging sensors in the target area, setting up several edge computing nodes in the target area, configuring the geographical location of the edge computing nodes, and building an edge computing network, the data transmission distance value is calculated based on the geographical location of the edge computing nodes and the location of each sensor;

[0050] Estimate the response speed of the edge computing network based on the data transmission distance value, set the response speed threshold of the edge computing network, and determine whether the response speed of the edge computing network is greater than the response speed threshold of the edge computing network;

[0051] When the response speed of the edge computing network exceeds the response speed threshold of the edge computing network, configuration is performed based on the geographical location and number of the current edge computing nodes.

[0052] When the response speed of the edge computing network is not greater than the response speed threshold of the edge computing network, the geographical location of the current edge computing node and the number of edge computing nodes are reconfigured until the response speed of the edge computing network is greater than the response speed threshold of the edge computing network.

[0053] It should be noted that this method can ensure that the response speed of the edge computing network is greater than the response speed threshold of the edge computing network, thereby improving the rationality of edge network monitoring.

[0054] Furthermore, in the resource utilization ecological assessment method, the ecological resource data information required in the target area is obtained, specifically including:

[0055] Obtain historical ecological resource data information on demand in the target area, build an ecological resource data prediction model based on a deep neural network, and input the historical ecological resource data information on demand in the target area into the ecological resource data prediction model for training;

[0056] Predicting ecological resource data information in the current area according to the ecological resource data prediction model, generating first ecological resource data information, and collecting the area of ​​the ecological mining area increased within a preset time;

[0057] Estimate the ecological resource data required for the increased ecological mining area within the current preset time based on the increased ecological mining area within the preset time;

[0058] The ecological resource data information required for the increased ecological mining area within the current preset time and the first ecological resource data information are counted to obtain the ecological resource data information required in the target area.

[0059] It should be noted that the response speed of the edge computing network is greater than the response speed threshold of the edge computing network mainly for the required water resource data. Through this method, the ecological resource data information (required water resources) required by the increased ecological exploitation area (planting area, irrigation area) within the current preset time and the first ecological resource data information can be combined to obtain the ecological resource data information required in the target area.

[0060] Furthermore, in the resource utilization ecological evaluation method, the ecological resource data information in the target area is estimated and evaluated based on the ecological resource data information required in the target area to obtain the ecological carrying capacity estimation result, specifically:

[0061] Generate distributable ecological resource data based on the ecological resource data information in the target area, and determine whether the ecological resource data information required in the target area is greater than the distributable ecological resource data;

[0062] When the ecological resource data required in the target area is greater than the ecological resource data that can be allocated, an estimated result of reaching the upper limit of the ecological carrying capacity is generated;

[0063] When the ecological resource data required in the target area is not greater than the ecological resource data that can be allocated, an estimated result that does not reach the upper limit of the ecological carrying capacity is generated;

[0064] An ecological carrying capacity estimation result is generated according to the estimation result of reaching the upper limit of the ecological carrying capacity or the estimation result of not reaching the upper limit of the ecological carrying capacity, and the ecological carrying capacity estimation result is output.

[0065] It should be noted that since the water resources in the target area are predictable, including river resources and groundwater resources, and due to the continuous increase in crop planting area and tree planting area, if the water resources in the target area are used in large quantities, it will lead to reaching the upper limit of ecological carrying capacity, causing damage to groundwater, rivers and other water resources. This method can be used to assess the carrying capacity.

[0066] Furthermore, in the resource utilization ecological assessment method, resource utilization analysis is performed based on the ecological carrying capacity estimation results to obtain resource utilization analysis results, specifically:

[0067] When the ecological carrying capacity estimation result is an estimation result that reaches the upper limit of the ecological carrying capacity, an analysis result of resource exhaustion is generated and the analysis result of resource exhaustion is output;

[0068] When the ecological carrying capacity estimation result is an estimation result that reaches the upper limit of the ecological carrying capacity, an analysis result of sustainable allocation of resource utilization is generated and outputted.

[0069] Furthermore, in the resource utilization ecological assessment method, the ecological resource utilization of the target area is dynamically adjusted according to the resource utilization analysis results, specifically:

[0070] When the resource utilization analysis result is an analysis result of resource exhaustion, the excess resource data information is recalculated, and the ecological resource utilization of the target area is dynamically adjusted according to the excess resource data information;

[0071] When the resource utilization analysis result is an analysis result that resource utilization can be continuously allocated, the ecological resource data information of the target area is evenly superimposed, and the ecological resources of the current target area are recalculated based on the evenly superimposed ecological resource data information of the target area;

[0072] When the resource utilization analysis result shows that resource utilization can be continuously allocated, the ecological resource data information of the target area is continuously and evenly superimposed, and the maximum superimposed resource data information is sought;

[0073] Dynamically adjust the ecological resource utilization of the target area based on the maximum superimposed resource data information.

[0074] It should be noted that this method can dynamically adjust the ecological resource utilization of the target area according to the results of resource utilization analysis, thereby recommending the optimal solution that is more suitable for the current ecosystem.

[0075] In addition, the method further comprises:

[0076] Acquire environmental interference characteristic data affecting the current edge computing network, and initialize operating parameter characteristic data of the sensor according to the environmental interference characteristic data affecting the current edge computing network;

[0077] Performing dynamic simulation according to the working parameter characteristic data of the sensor, obtaining response speed characteristic data of the sensor when collecting data through the dynamic simulation, and determining whether the response speed characteristic data of the sensor when collecting data is greater than a preset response speed threshold;

[0078] When the response speed characteristic data of the sensor during data acquisition is not greater than a preset response speed threshold, replanning the working parameter characteristic data of the sensor until it is greater than the preset response speed threshold;

[0079] When the response speed characteristic data of the sensor during data acquisition is greater than a preset response speed threshold, the operating parameter characteristic data of the sensor is output, and data acquisition is performed according to the operating parameter characteristic data of the sensor.

[0080] It should be noted that environmental interference data includes extreme weather, electromagnetic interference, etc. This method can fully take into account the situation where the sensor is affected by extreme weather, electromagnetic interference, etc., so as to optimize the sensor for data collection, improve the rationality of data collection, and ensure that the accuracy of the collected data is improved.

[0081] In addition, the historical ecological resource data information of the demand in the target area is input into the ecological resource data prediction model for training, which also includes:

[0082] Inputting the historical ecological resource data information of demand in the target area into the ecological resource data prediction model for training, and calculating the marginal contribution value of each data type in the historical ecological resource data information of demand in the target area to the model training;

[0083] Setting a marginal contribution threshold to determine whether the marginal contribution value of each data type in the historical ecological resource data information required in the target area to the model training is greater than the marginal contribution threshold;

[0084] The data type corresponding to the marginal contribution value being greater than the marginal contribution threshold value is continued to be used as the sample data set for training, and the data type corresponding to the marginal contribution value being not greater than the marginal contribution threshold value is deleted;

[0085] The training sample data set is input into the ecological resource data prediction model for training, and the model parameters of the ecological resource data prediction model are saved.

[0086] It should be noted that the marginal contribution of a feature is the impact of the feature on the prediction results when added to the model. To interpret the model, by continuing to use the data types corresponding to the marginal contribution values ​​greater than the marginal contribution threshold as the sample data set for training, and removing the data types corresponding to the marginal contribution values ​​less than the marginal contribution threshold, the interference of other irrelevant data on model training can be eliminated, thereby improving the accuracy of model predictions through this method. For example, water resource data is closely related to climate, temperature, mining conditions, precipitation, pollution, etc., while water resources have no direct correlation with factors such as the species of organisms in the soil.

[0087] like Figure 2 As shown, the second aspect of the present invention provides a resource utilization ecological evaluation system 4, including a memory 41 and a processor 42. The memory 41 includes a resource utilization ecological evaluation method program. When the resource utilization ecological evaluation method program is executed by the processor 42, the following steps are implemented:

[0088] Build an edge computing network to collect ecological resource data information in the target area;

[0089] Obtaining ecological resource data information required in the target area, and conducting an estimated evaluation of the ecological resource data information in the target area based on the ecological resource data information required in the target area to obtain an estimated ecological carrying capacity result;

[0090] Conduct resource utilization analysis based on the ecological carrying capacity estimation results and obtain resource utilization analysis results;

[0091] Dynamically adjust the ecological resource utilization in the target area based on the results of resource utilization analysis.

[0092] It should be noted that this invention analyzes the ecological carrying capacity of the target area's ecological resource data based on the required ecological resource data in the target area, thereby assessing whether the current ecosystem is self-sufficient and rationally arranging resource development without damaging the ecosystem, taking into account the green concept of the ecosystem. Ecological resource data includes environmental monitoring data, water resource data, soil data, and ecological process data (involving various natural processes in the ecosystem, such as material circulation and energy flow).

[0093] Furthermore, in the resource utilization ecological evaluation system, an edge computing network is constructed, specifically:

[0094] By arranging sensors in the target area, setting up several edge computing nodes in the target area, configuring the geographical location of the edge computing nodes, and building an edge computing network, the data transmission distance value is calculated based on the geographical location of the edge computing nodes and the location of each sensor;

[0095] Estimate the response speed of the edge computing network based on the data transmission distance value, set the response speed threshold of the edge computing network, and determine whether the response speed of the edge computing network is greater than the response speed threshold of the edge computing network;

[0096] When the response speed of the edge computing network exceeds the response speed threshold of the edge computing network, configuration is performed based on the geographical location and number of the current edge computing nodes.

[0097] When the response speed of the edge computing network is not greater than the response speed threshold of the edge computing network, the geographical location of the current edge computing node and the number of edge computing nodes are reconfigured until the response speed of the edge computing network is greater than the response speed threshold of the edge computing network.

[0098] It should be noted that this method can ensure that the response speed of the edge computing network is greater than the response speed threshold of the edge computing network, thereby improving the rationality of edge network monitoring.

[0099] Furthermore, in the resource utilization ecological evaluation system, the ecological resource data information required in the target area is obtained, including:

[0100] Obtain historical ecological resource data information on demand in the target area, build an ecological resource data prediction model based on a deep neural network, and input the historical ecological resource data information on demand in the target area into the ecological resource data prediction model for training;

[0101] Predicting ecological resource data information in the current area according to the ecological resource data prediction model, generating first ecological resource data information, and collecting the area of ​​the ecological mining area increased within a preset time;

[0102] Estimate the ecological resource data required for the increased ecological mining area within the current preset time based on the increased ecological mining area within the preset time;

[0103] The ecological resource data information required for the increased ecological mining area within the current preset time and the first ecological resource data information are counted to obtain the ecological resource data information required in the target area.

[0104] It should be noted that the response speed of the edge computing network is greater than the response speed threshold of the edge computing network mainly for the required water resource data. Through this method, the ecological resource data information (required water resources) required by the increased ecological exploitation area (planting area, irrigation area) within the current preset time and the first ecological resource data information can be combined to obtain the ecological resource data information required in the target area.

[0105] Furthermore, in the resource utilization ecological evaluation system, the ecological resource data information in the target area is estimated and evaluated based on the ecological resource data information required in the target area to obtain the ecological carrying capacity estimation result, specifically:

[0106] Generate distributable ecological resource data based on the ecological resource data information in the target area, and determine whether the ecological resource data information required in the target area is greater than the distributable ecological resource data;

[0107] When the ecological resource data required in the target area is greater than the ecological resource data that can be allocated, an estimated result of reaching the upper limit of the ecological carrying capacity is generated;

[0108] When the ecological resource data required in the target area is not greater than the ecological resource data that can be allocated, an estimated result that does not reach the upper limit of the ecological carrying capacity is generated;

[0109] An ecological carrying capacity estimation result is generated according to the estimation result of reaching the upper limit of the ecological carrying capacity or the estimation result of not reaching the upper limit of the ecological carrying capacity, and the ecological carrying capacity estimation result is output.

[0110] It should be noted that since the water resources in the target area are predictable, including river resources and groundwater resources, and due to the continuous increase in crop planting area and tree planting area, if the water resources in the target area are used in large quantities, it will lead to reaching the upper limit of ecological carrying capacity, causing damage to groundwater, rivers and other water resources. This method can be used to assess the carrying capacity.

[0111] Furthermore, in the resource utilization ecological evaluation system, resource utilization analysis is performed based on the ecological carrying capacity estimation results to obtain resource utilization analysis results, specifically:

[0112] When the ecological carrying capacity estimation result is an estimation result that reaches the upper limit of the ecological carrying capacity, an analysis result of resource exhaustion is generated and the analysis result of resource exhaustion is output;

[0113] When the ecological carrying capacity estimation result is an estimation result that reaches the upper limit of the ecological carrying capacity, an analysis result of sustainable allocation of resource utilization is generated and outputted.

[0114] Furthermore, in the resource utilization ecological evaluation system, the ecological resource utilization of the target area is dynamically adjusted according to the resource utilization analysis results, specifically:

[0115] When the resource utilization analysis result is an analysis result of resource exhaustion, the excess resource data information is recalculated, and the ecological resource utilization of the target area is dynamically adjusted according to the excess resource data information;

[0116] When the resource utilization analysis result is an analysis result that resource utilization can be continuously allocated, the ecological resource data information of the target area is evenly superimposed, and the ecological resources of the current target area are recalculated based on the evenly superimposed ecological resource data information of the target area;

[0117] When the resource utilization analysis result shows that resource utilization can be continuously allocated, the ecological resource data information of the target area is continuously and evenly superimposed, and the maximum superimposed resource data information is sought;

[0118] Dynamically adjust the ecological resource utilization of the target area based on the maximum superimposed resource data information.

[0119] It should be noted that this method can dynamically adjust the ecological resource utilization of the target area according to the results of resource utilization analysis, thereby recommending the optimal solution that is more suitable for the current ecosystem.

[0120] In addition, the method further comprises:

[0121] Acquire environmental interference characteristic data affecting the current edge computing network, and initialize operating parameter characteristic data of the sensor according to the environmental interference characteristic data affecting the current edge computing network;

[0122] Performing dynamic simulation according to the working parameter characteristic data of the sensor, obtaining response speed characteristic data of the sensor when collecting data through the dynamic simulation, and determining whether the response speed characteristic data of the sensor when collecting data is greater than a preset response speed threshold;

[0123] When the response speed characteristic data of the sensor during data acquisition is not greater than a preset response speed threshold, replanning the working parameter characteristic data of the sensor until it is greater than the preset response speed threshold;

[0124] When the response speed characteristic data of the sensor during data acquisition is greater than a preset response speed threshold, the operating parameter characteristic data of the sensor is output, and data acquisition is performed according to the operating parameter characteristic data of the sensor.

[0125] It should be noted that environmental interference data includes extreme weather, electromagnetic interference, etc. This method can fully take into account the situation where the sensor is affected by extreme weather, electromagnetic interference, etc., so as to optimize the sensor for data collection, improve the rationality of data collection, and ensure that the accuracy of the collected data is improved.

[0126] In addition, the historical ecological resource data information of the demand in the target area is input into the ecological resource data prediction model for training, which also includes:

[0127] Inputting the historical ecological resource data information of demand in the target area into the ecological resource data prediction model for training, and calculating the marginal contribution value of each data type in the historical ecological resource data information of demand in the target area to the model training;

[0128] Setting a marginal contribution threshold to determine whether the marginal contribution value of each data type in the historical ecological resource data information required in the target area to the model training is greater than the marginal contribution threshold;

[0129] The data type corresponding to the marginal contribution value being greater than the marginal contribution threshold value is continued to be used as the sample data set for training, and the data type corresponding to the marginal contribution value being not greater than the marginal contribution threshold value is deleted;

[0130] The training sample data set is input into the ecological resource data prediction model for training, and the model parameters of the ecological resource data prediction model are saved.

[0131] It should be noted that the marginal contribution of a feature is the impact of the feature on the prediction results when added to the model. To interpret the model, by continuing to use the data types corresponding to the marginal contribution values ​​greater than the marginal contribution threshold as the sample data set for training, and removing the data types corresponding to the marginal contribution values ​​less than the marginal contribution threshold, the interference of other irrelevant data on model training can be eliminated, thereby improving the accuracy of model predictions through this method. For example, water resource data is closely related to climate, temperature, mining conditions, precipitation, pollution, etc., while water resources have no direct correlation with factors such as the species of organisms in the soil.

[0132] A third aspect of the present invention provides a computer-readable storage medium, comprising a resource utilization ecological evaluation method program, which, when executed by a processor, implements any one of the steps of the resource utilization ecological evaluation method.

[0133] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0134] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0135] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0136] Those skilled in the art will appreciate that all or part of the steps of the above-mentioned method embodiments may be implemented by hardware associated with program instructions, and the aforementioned program may be stored in a computer-readable storage medium. When the program is executed, the program executes the steps of the above-mentioned method embodiments. The aforementioned storage medium includes various media that can store program codes, such as mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0137] Alternatively, if the integrated units described above are implemented as software modules and sold or used as standalone products, they can also be stored on a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product, stored on a storage medium, includes instructions for enabling a computer device (such as a personal computer, server, or network device) to execute all or part of the methods of the various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as removable storage devices, ROM, RAM, magnetic disks, or optical disks.

[0138] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A resource utilization ecological evaluation method, characterized in that: The following steps are involved: Building an edge computing network to collect ecological resource data information in the target area through the edge computing network; Calculating the ecological resource data information required in the target area, and performing an estimated evaluation on the ecological resource data information in the target area based on the ecological resource data information required in the target area to obtain an estimated ecological carrying capacity result; Perform resource utilization analysis based on the ecological carrying capacity estimation result to obtain resource utilization analysis results; Dynamically adjusting ecological resource utilization in the target area based on the resource utilization analysis results; Build an edge computing network, specifically: By arranging sensors in the target area, setting up several edge computing nodes in the target area, configuring the geographical locations of the edge computing nodes, building an edge computing network, and calculating the distance value of data transmission based on the geographical locations of the edge computing nodes and the location of each sensor; estimating a response speed of the edge computing network according to the distance value of the data transmission, setting a response speed threshold of the edge computing network, and determining whether the response speed of the edge computing network is greater than the response speed threshold of the edge computing network; When the response speed of the edge computing network is greater than the response speed threshold of the edge computing network, configuring according to the geographical location of the current edge computing node and the number of edge computing nodes; When the response speed of the edge computing network is not greater than the response speed threshold of the edge computing network, reconfigure the geographical location of the current edge computing node and the number of edge computing nodes until the response speed of the edge computing network is greater than the response speed threshold of the edge computing network; Calculate the ecological resource data required in the target area, including: Obtaining historical ecological resource data information of demand in a target area, building an ecological resource data prediction model based on a deep neural network, and inputting the historical ecological resource data information of demand in the target area into the ecological resource data prediction model for training; Predicting the ecological resource data information required in the current area according to the ecological resource data prediction model to obtain first ecological resource data information, and collecting the area of ​​the ecological mining area increased within a preset time; According to the area of ​​ecological mining area increased within the preset time, the ecological resource data information required for the area of ​​ecological mining area increased within the current preset time is estimated; Collecting data on ecological resources required for the ecological mining area increased within the current preset time and the first ecological resource data information, and calculating the ecological resource data information required in the target area; Based on the ecological resource data information required in the target area, the ecological resource data information in the target area is estimated and evaluated to obtain an ecological carrying capacity estimation result, specifically: Generate allocable ecological resource data according to the ecological resource data information in the target area, and determine whether the ecological resource data information required in the target area is greater than the allocable ecological resource data; When the ecological resource data information required in the target area is greater than the ecological resource data that can be allocated, generating an estimated result of reaching the upper limit of the ecological carrying capacity; When the ecological resource data information required in the target area is not greater than the ecological resource data that can be allocated, generating an estimated result that the ecological carrying capacity upper limit has not been reached; An ecological carrying capacity estimation result is generated according to the estimation result of reaching the upper limit of the ecological carrying capacity or the estimation result of not reaching the upper limit of the ecological carrying capacity, and the ecological carrying capacity estimation result is output.

2. A resource utilization ecological evaluation method according to claim 1, characterized in that: Perform resource utilization analysis based on the ecological carrying capacity estimation results to obtain resource utilization analysis results, specifically: When the ecological carrying capacity estimation result is an estimation result that reaches the upper limit of the ecological carrying capacity, generating an analysis result of resource exhaustion and outputting the analysis result of resource exhaustion; When the ecological carrying capacity estimation result is an estimation result that does not reach the upper limit of the ecological carrying capacity, an analysis result indicating that resource utilization can be continuously allocated is generated and output.

3. A resource utilization ecological evaluation method according to claim 1, characterized in that: Dynamically adjust the ecological resource utilization of the target area based on the resource utilization analysis results, specifically: When the resource utilization analysis result is an analysis result of exhaustion of the resource utilization, the excess resource data information is recalculated, and the ecological resource utilization of the target area is dynamically adjusted according to the excess resource data information.

4. A resource utilization ecological evaluation system, characterized in that: It includes a memory and a processor, wherein the memory includes a resource utilization ecological evaluation method program, and when the resource utilization ecological evaluation method program is executed by the processor, the steps of the resource utilization ecological evaluation method according to any one of claims 1 to 3 are implemented.

5. A computer-readable storage medium, characterized in that It includes a resource utilization ecological evaluation method program, which, when executed by a processor, implements the steps of the resource utilization ecological evaluation method as described in any one of claims 1 to 3.

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