Ecological restoration method and device for goaf

Abstract

The invention discloses a goaf ecological restoration method and device, and the method comprises the steps: collecting various ecological data of a goaf, and calculating an ecological health index of the goaf according to the ecological data; according to the ecological data and the ecological health index, utilizing an ecological restoration model based on machine learning to output an ecological restoration strategy of the goaf; collecting various ecological data after the goaf is restored by using the ecological restoration strategy to calculate an ecological health index after the goaf is restored, and judging whether the ecological health index exceeds a preset threshold value or not; and if the calculated ecological health index does not exceed the preset threshold value, returning to execute the step of outputting the ecological restoration strategy of the goaf by using the ecological restoration model based on machine learning according to the ecological data and the ecological health index until the calculated ecological health index exceeds the preset threshold value. By means of the goaf ecological restoration method and system, scientization and precision of goaf ecological restoration can be achieved through ecological data collection and analysis of the system.

Description

Technical Field

[0001] The invention belongs to the technical field of ecological restoration, and in particular to a method and a device for ecological restoration of a goaf area. Background Art

[0002] With the rapid development of industrialization, especially in the field of mineral resource mining, the emergence of goaf has become an inevitable phenomenon. Goaf not only directly affects the balance of the ecological environment, but also faces many challenges in its restoration process. Since goaf often contains a variety of complex ecological problems, such as poor soil, water pollution, reduced biodiversity, etc., its ecological restoration work becomes extremely arduous and complicated.

[0003] Traditional ecological restoration methods mostly use human intervention and rely on experience and conventional technology for restoration. However, these methods often lack systematicity and scientificity, and it is difficult to effectively solve the ecological problems caused by mined-out areas. Summary of the invention

[0004] The purpose of the present invention is to provide a method and device for ecological restoration of goaf areas to address the deficiencies in the prior art and to achieve scientific and precise ecological restoration of goaf areas through systematic ecological data collection and analysis.

[0005] An embodiment of the present application provides a method for ecological restoration of a goaf, the method comprising: Collecting various ecological data of the goaf, and calculating the ecological health index of the goaf according to the ecological data; Outputting an ecological restoration strategy for the goaf using a pre-trained ecological restoration model based on machine learning according to the ecological data and the ecological health index; Collecting a variety of ecological data after the goaf is restored using the ecological restoration strategy to calculate the ecological health index after the goaf is restored, and determining whether the ecological health index exceeds a preset threshold; If it does not exceed the preset threshold, return to execute the step of outputting the ecological restoration strategy of the goaf based on the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning until the calculated ecological health index exceeds the preset threshold.

[0006] Optionally, calculating the ecological health index of the goaf according to the ecological data includes: The soil quality index, biodiversity index, water quality index, microbial activity index, ecological damage coefficient, current temperature, ecological restoration temperature, temperature impact coefficient, ecological restoration effort and ecological restoration resource availability of the goaf are determined to calculate the ecological health index of the goaf.

[0007] Optionally, the calculation formula of the ecological health index is:

[0008] Among them, the is the ecological health index, is the soil quality index, is the biodiversity index, is the water quality index, is the microbial activity index, is the ecological damage coefficient, is the current temperature, For ecological restoration temperature, For ecological restoration efforts, For ecological restoration resource availability, the , , , is the corresponding weight coefficient, is the temperature influence coefficient.

[0009] Optionally, the soil quality index, the biodiversity index, the water source quality index, the microbial activity index, the ecological damage coefficient, the ecological restoration effort and the ecological restoration resource availability are:

[0010] Wherein, N is the soil nitrogen content of the sampling area of ​​the goaf, P is the soil phosphorus content of the sampling area of ​​the goaf, K is the soil potassium content of the sampling area of ​​the goaf, and OM is the soil organic matter content of the sampling area of ​​the goaf;

[0011] Among them, the is the number of existing species, is the number of historical species;

[0012] Among them, the is the dissolved oxygen in the sampled waters of the goaf, is the biochemical oxygen demand of the sampled water area in the goaf, is the total dissolved solids in the sampled waters of the goaf, The pH value of the sampled waters in the goaf;

[0013] Wherein, A is the total number of bacteria in the sampling area of ​​the goaf, B is the total number of fungi in the sampling area of ​​the goaf, and C is the total number of yeasts in the sampling area of ​​the goaf;

[0014] Wherein, H is the intensity of human activities, E is the environmental pollution index, and D is the natural disaster impact score;

[0015] Among them, the To score the technology input, Scoring financial investment, Score human input;

[0016] Among them, the For ecological restoration of plant resources, The amount of ecological restoration technology resources is Amount of funding available for ecological restoration.

[0017] Another embodiment of the present application provides a goaf ecological restoration device, the device comprising: A collection module, used for collecting various ecological data of the goaf, and calculating the ecological health index of the goaf according to the ecological data; An output module, used to output an ecological restoration strategy for the goaf according to the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning; A judgment module, used to collect various ecological data after the goaf is repaired using the ecological restoration strategy, so as to calculate the ecological health index after the goaf is repaired, and to judge whether the ecological health index exceeds a preset threshold; The execution module is used to return to the step of outputting the ecological restoration strategy of the goaf based on the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning if the preset threshold is not exceeded, until the calculated ecological health index exceeds the preset threshold.

[0018] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0019] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0020] Compared with the prior art, the present invention provides a method for ecological restoration of goafs, which collects a variety of ecological data from the goafs, and calculates the ecological health index of the goafs based on the ecological data; outputs an ecological restoration strategy for the goafs based on the ecological data and the ecological health index using an ecological restoration model based on machine learning; collects a variety of ecological data after the goafs are repaired using the ecological restoration strategy to calculate the ecological health index after the goafs are repaired, and determines whether the ecological health index exceeds a preset threshold; if it does not exceed the preset threshold, returns to execute the step of outputting the ecological restoration strategy for the goaf based on the ecological data and the ecological health index using an ecological restoration model based on machine learning until the calculated ecological health index exceeds the preset threshold, thereby enabling scientific and precise ecological restoration of the goafs to be achieved through systematic ecological data collection and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A hardware structure block diagram of a computer terminal for a method for ecological restoration of goaf provided by an embodiment of the present invention; Figure 2 A schematic diagram of a process for ecological restoration of goaf areas provided by an embodiment of the present invention; Figure 3 A schematic structural diagram of a goaf area ecological restoration device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0023] The embodiment of the present invention first provides a method for ecological restoration of goaf areas, which can be applied to electronic devices, such as computer terminals, specifically ordinary computers, etc.

[0024] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal for a method for ecological restoration of goaf provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0025] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any method for ecological restoration of goaf areas.

[0026] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0027] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any method for ecological restoration of goaf areas.

[0028] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0029] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0030] See also Figure 2 The embodiment of the present invention provides a method for ecological restoration of goaf, which may include the following steps: S201, collecting various ecological data of the goaf, and calculating the ecological health index of the goaf according to the ecological data; By integrating multiple system sensors and data acquisition equipment, a variety of ecological data including soil, water, climate, plants and animals are obtained. These data involve multiple dimensions such as soil composition, chemical properties, biodiversity in the ecosystem, and degree of environmental pollution, thus comprehensively reflecting the ecological status of the goaf. Through this comprehensive data collection method, the necessary basic data support is provided for the subsequent calculation of the ecological health index, making the calculation of the ecological health index more scientific and reasonable, and thus laying a solid foundation for the formulation of targeted ecological restoration strategies.

[0031] By systematically collecting a variety of ecological data, we can not only accurately reflect the ecological status of the goaf, but also provide a data-driven basis for ecological restoration. This method helps to identify potential problems in the ecosystem, such as soil degradation and water pollution, thereby providing scientific decision-making support for subsequent restoration measures. Ultimately, with the help of precise data analysis and the calculation of the ecological health index, we can effectively improve the efficiency of ecological restoration work and promote the restoration and sustainable development of the ecological environment in the goaf.

[0032] When collecting various ecological data in goafs, the following methods can be used: First, a multifunctional ecological monitoring network is arranged, and various sensors are set up in the goafs, including soil sensors, water quality sensors, and meteorological sensors. Soil sensors can be embedded deep in the soil to monitor soil moisture, temperature, pH value, nitrogen, phosphorus, and potassium content in real time; water quality sensors are set near water bodies to regularly detect water quality indicators such as dissolved oxygen, chemical oxygen demand, and total dissolved solids in water samples; meteorological sensors are used to record meteorological data such as temperature, humidity, wind speed, and precipitation. The collected data is transmitted to the central database in real time via a wireless network for centralized storage and processing. In addition, through regular biodiversity surveys, such as biological sample collection and observation, the richness and classification of biological species in the area are obtained, which provides supplementary data for the comprehensive assessment of ecological health. Through this series of specific operations, it can be ensured that comprehensive and accurate ecological data are collected to support the subsequent calculation of ecological health indexes and the formulation of restoration strategies.

[0033] Specifically, the soil quality index, biodiversity index, water quality index, microbial activity index, ecological damage coefficient, current temperature, ecological restoration temperature, temperature impact coefficient, ecological restoration effort and ecological restoration resource availability of the goaf can be determined to calculate the ecological health index of the goaf.

[0034] In the process of calculating the ecological health index, the first key step is to determine the soil quality index, biodiversity index, water quality index, microbial activity index, ecological damage coefficient, current temperature, ecological restoration temperature, temperature impact coefficient, ecological restoration effort and resource availability of the goaf. Through scientific measurement and analysis, these indicators can comprehensively reflect the ecological quality and health of the ecosystem in the goaf. The soil quality index is used to evaluate the fertility and nutrient supply capacity of the soil; the biodiversity index shows the richness and stability of the ecosystem; the water quality index monitors the purity and adaptability of the water body; the microbial activity index reflects the biological activity of the soil and its restoration capacity; the ecological damage coefficient and ecological restoration parameters obtain comprehensive information on the impact of human activities on the ecological environment and the input of restoration resources. Through the comprehensive evaluation of these indicators, the ecological health index can be more accurately obtained to guide the corresponding ecological restoration plan.

[0035] The role of identifying and calculating various ecological indicators in this step is to provide a systematic method to quantify the ecological health status. These indicators can not only help determine the current environmental quality of the goaf, but also identify the factors and specific problems of ecological degradation by comparing with historical data and environmental standards, which will help to formulate more accurate restoration strategies. Ultimately, this analysis method based on multi-dimensional data will provide empirical evidence for the effective management of ecological restoration work in goafs, and provide strong support for restoring ecological balance and promoting sustainable development.

[0036] Specifically, the calculation formula of the ecological health index is:

[0037] The calculation formula of the Ecological Health Index (EHI) is designed to comprehensively consider the impact of multiple ecological factors on ecological health. Each parameter in the formula has a clear ecological meaning and calculation function.

[0038] Among them, the The Ecological Health Index reflects the ecological health status of the entire goaf and its recovery potential. The higher the EHI value, the healthier the ecological environment, and vice versa, it means that ecological problems need to be solved. is the soil quality index, is the biodiversity index, is the water quality index, The microbial activity index is a quantitative assessment of the current ecological status of the goaf, which can reflect the fertility of the soil, the cleanliness of the water, and the richness of biological species.

[0039] Said The ecological damage coefficient is used to quantify the negative impact of human activities on the ecological environment. The higher the coefficient, the more serious the damage to the ecological environment. is the current temperature, is the ecological restoration temperature, which indicates the optimal temperature condition for ecological restoration. The difference between the two reflects the sensitivity of temperature to ecological health through an exponential relationship. The degree of ecological restoration effort measures the degree of technical, financial and human investment in ecological restoration, and reflects human efforts in the ecological restoration process. Resource availability for ecological restoration indicates the resources available for ecological restoration to ensure effective support for various restoration measures.

[0040] Said , , , are the corresponding weight coefficients, soil quality index, biodiversity index, water quality index and microbial activity index, which are allocated according to the relative importance of each indicator to ecological health. The purpose is to emphasize the importance of specific dimensions in the restoration process and ensure that each ecological factor fully reflects its influence in the final health index. is the temperature influence coefficient.

[0041] The design of the entire formula reflects the need to comprehensively consider all aspects of the ecological environment in the process of ecological restoration, so as to clearly quantify the ecological health level and then formulate more effective ecological restoration strategies. Through dynamic monitoring of the health index, restoration measures can be adjusted in a timely manner to achieve continuous improvement and protection of the ecological environment.

[0042] Specifically, the soil quality index, the biodiversity index, the water source quality index, the microbial activity index, the ecological damage coefficient, the ecological restoration effort and the ecological restoration resource availability are:

[0043] This formula is used to comprehensively evaluate the nutritional content of the soil. The soil quality index directly affects the ability of plants to grow, thereby affecting the health of the entire ecosystem. By taking the arithmetic average of the nitrogen, phosphorus, potassium and organic matter content of the soil, the overall quality of the soil can be more intuitively reflected.

[0044] Wherein, the N is the soil nitrogen content in the sampling area of ​​the goaf, and the unit is usually gram per kilogram (g / kg), which can be determined by a soil test kit or chemical analysis. The P is the soil phosphorus content in the sampling area of ​​the goaf, and the unit is also gram per kilogram (g / kg), which is analyzed by chemical extraction. The K is the soil potassium content in the sampling area of ​​the goaf, and the unit is gram per kilogram (g / kg), which is usually determined by a flame photometer. The OM is the soil organic matter content in the sampling area of ​​the goaf, and the unit is gram per kilogram (g / kg), which can be determined by a redox method.

[0045]

[0046] This formula measures the ratio of the number of species currently present in an ecosystem to the number of species historically present, and is an important indicator of biodiversity. The closer this ratio is to 1, the more stable and healthy the ecosystem is.

[0047] Among them, the The number of existing species is obtained through on-site surveys and statistics on the number of active biological species in the current area. It is the historical species number, which is based on the species records of the area collected from historical ecological survey data or literature.

[0048]

[0049] Water quality indicators reflect the health of water bodies by assessing their main chemical and biological characteristics. This index is crucial to the quality of the ecosystem.

[0050] Among them, the The dissolved oxygen in the sampled waters of the goaf is expressed in milligrams per liter (mg / L), measured by a water quality analyzer. The biochemical oxygen demand of the sampled waters of the goaf, expressed in milligrams per liter (mg / L), is determined by incubating the water samples under specific conditions. is the total dissolved solids in the sampled waters of the goaf, expressed in milligrams per liter (mg / L), as determined by electrical conductivity measurement. The pH value of the sampled waters in the goaf is measured by a pH meter.

[0051]

[0052] This formula is used to measure the microbial diversity and activity in soil and water, indicating the biological function of the ecosystem and its ability to respond to the environment.

[0053] Wherein, the A is the total number of bacteria in the sampling area of ​​the goaf, in units of CFU (colony forming unit) / ml or mg, usually obtained by culture method. The B is the total number of fungi in the sampling area of ​​the goaf, in units of CFU / ml or mg, obtained by culture in special growth medium. The C is the total number of yeasts in the sampling area of ​​the goaf, in units of CFU / ml or mg, determined by similar culture method.

[0054]

[0055] This formula quantifies ecological damage by combining the intensity of human activities, environmental pollution index and natural disaster impact score, providing a reference for ecological restoration work.

[0056] Among them, H is the intensity of human activities, which is assessed in a graded manner, with a possible value range of 1-10 (1 for small impact and 10 for large impact). E is the environmental pollution index, which can be calculated based on the concentration of pollutants in a specific area, and usually takes a value between 0 and 100. D is the natural disaster impact score, which is assessed in a graded manner, with a range of 1-10.

[0057]

[0058] This formula evaluates the comprehensive investment in technology, finance, and human resources for ecological restoration and reflects the possible effectiveness of restoration work. Score the technical input, with a 1-10 rating based on the complexity of the technical solution and the effectiveness of its implementation. Score the financial investment and rank it on a scale of 1-10 based on the budget amount. Score human resource input, with a 1-10 rating based on the quality and quantity of human resources involved in the project.

[0059]

[0060] This formula is used to evaluate the availability of plant resources, technical resources, and funds that can be used for ecological restoration to ensure that restoration work can proceed smoothly. For the purpose of ecological restoration of plant resources, a 1-10 rating is conducted based on the available plant species and quantity. For the ecological restoration technology resources, a 1-10 assessment is conducted on the applicability and quantity of technical means. The amount of funds available for ecological restoration is assessed on a scale of 1-10 based on the adequacy of the funds.

[0061] Each of the above formulas provides a quantitative basis for the calculation of the ecological health index by integrating multi-dimensional ecological parameters and indicators. By effectively measuring and evaluating these parameters, we can more scientifically understand and repair the ecological environment of the goaf, and ultimately achieve sustainable development of the ecosystem.

[0062] S202, outputting an ecological restoration strategy for the goaf using a pre-trained ecological restoration model based on machine learning according to the ecological data and the ecological health index; In the above method, a pre-trained ecological restoration model based on machine learning is used to generate an ecological restoration strategy for the goaf, aiming to intelligently formulate targeted restoration plans through the analysis of ecological data and ecological health index of the goaf. The machine learning model can identify the key factors affecting ecological health by learning from historical ecological data, and automatically output the best restoration strategy based on the input ecological data, covering vegetation restoration, soil improvement, water body management and other aspects. This process not only improves the scientificity and effectiveness of ecological restoration, but also can dynamically adjust the strategy according to the specific situation, providing strong support for achieving the goal of ecological restoration.

[0063] The importance of this step in the ecological restoration process is reflected in several aspects. First, by applying machine learning models, valuable information can be extracted from massive ecological data, which not only improves the accuracy and effectiveness of restoration strategies, but also saves the time and cost of manual analysis. Secondly, the data-driven approach makes ecological restoration no longer rely on past experience, but is based on scientific evidence, reducing uncertainty. Finally, the automatically generated restoration strategy can provide decision makers with a variety of options to help them make more informed decisions in ecological restoration work, thereby achieving efficient restoration of goaf areas and promoting the restoration and sustainable development of the ecological environment.

[0064] Specifically, one implementation method includes the following steps: 1. Data collection and preparation: In the goaf, systematically collect a variety of data related to ecological restoration, including soil (nitrogen, phosphorus, potassium, organic matter content), water quality (dissolved oxygen, chemical oxygen demand, total dissolved solids, pH value), biodiversity (number of existing species, number of historical species) and environmental factors (intensity of human activities, environmental pollution index, natural disaster impact score, etc.). Ensure that the data is comprehensive and reliable by setting up multiple sampling points and regular monitoring. Clean the collected raw data, remove incomplete or abnormal samples, and process the data in a standardized or normalized manner to meet the input requirements of the machine learning model.

[0065] 2. Calculation of Ecological Health Index: Using the collected ecological data, various ecological indicators are calculated according to the set formula (such as soil quality index, ecological damage coefficient, etc.). Then, the Ecological Health Index (EHI) is calculated based on these indicators as the basis for subsequent analysis. The calculation of EHI takes into account the comprehensive impact of soil quality, biodiversity, water quality and other influencing factors, with the aim of quantifying the ecological health status of the goaf.

[0066] 3. Model construction and training based on machine learning: Select an appropriate machine learning algorithm (such as random forest, support vector machine, or deep learning model) and train the model based on historical ecological data. Input features include the previously calculated Ecological Health Index (EHI) and its related ecological indicators (such as soil quality, species diversity, etc.). Use part of the historical data for training, and set up a validation set to evaluate the accuracy and generalization ability of the model. Optimize model performance through repeated training and adjustment of hyperparameters.

[0067] 4. Strategy generation: The latest ecological data and the calculated Ecological Health Index (EHI) are input into the trained machine learning model. The model receives this data and analyzes the relationship between various ecological factors to identify key points that affect ecological health. Based on the model results, the corresponding ecological restoration strategies are automatically generated. These strategies may include selecting highly adaptable plants for replanting, improving soil to increase its nutrients, implementing water purification measures or remediating polluted areas. Each strategy contains specific implementation steps, expected results and time nodes.

[0068] 5. Implementation of restoration measures and monitoring: Organize a professional team to implement the generated restoration strategy to ensure that all measures are implemented scientifically and effectively. Monitor the implementation process of each measure in real time and record key data and indicators. After the restoration measures have been implemented for a period of time, re-collect ecological data and calculate a new ecological health index (EHI) to evaluate the restoration effect. Analyze the difference between the new health index changes and the expected results to judge the effectiveness of the restoration measures.

[0069] S203, collecting various ecological data after the goaf is repaired using the ecological restoration strategy to calculate the ecological health index after the goaf is repaired, and determining whether the ecological health index exceeds a preset threshold; After implementing the ecological restoration strategy, the research team needs to systematically collect data on multiple ecological indicators to evaluate the actual effect of the restoration work. This process includes regularly collecting soil samples, water quality data and biodiversity information. By analyzing these ecological data, the ecological health index (EHI) of the restored goaf is calculated to judge the effectiveness of the restoration measures. By comparing the calculated EHI with the pre-set ecological health threshold (preset threshold, which can be set by yourself), the effectiveness of the restoration work can be clarified, which in turn provides a basis for the subsequent adjustment of the restoration strategy. If the calculated result does not reach the preset threshold, the system will prompt that the restoration measures need to be readjusted to achieve more effective ecological restoration.

[0070] The implementation of this step has far-reaching significance. First, it provides a scientific basis for the monitoring and evaluation of ecological restoration work, ensuring the effectiveness and sustainability of restoration measures. Second, by quantifying the ecological health index after restoration, decision makers can more clearly understand the progress of ecosystem recovery and make corresponding adjustments in a timely manner. In addition, data collection and analysis help reveal potential ecological risks, ensure the correct direction of ecological restoration, and enhance the resilience of the ecosystem. This data-driven management method not only improves the transparency of restoration work, but also promotes the public's understanding and support for ecological restoration and promotes the enhancement of environmental protection awareness.

[0071] S204, if it does not exceed the preset threshold, return to execute the step of outputting the ecological restoration strategy of the goaf according to the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning, until the calculated ecological health index exceeds the preset threshold.

[0072] When the calculated ecological health index (EHI) fails to exceed the preset threshold, the system will start the feedback mechanism and return to the previous step, that is, based on the current ecological data and the calculated EHI, the pre-trained machine learning-based ecological restoration model will be used again to output a new ecological restoration strategy. This process is an iterative process, ensuring that each adjustment of the restoration strategy is based on the latest ecological data. By comparing historical data with currently collected data, the model will identify the key factors that affect the restoration effect, and thus propose targeted improvement measures to improve the ecological health index. This process not only ensures the flexibility and adaptability of the restoration measures, but also gradually approaches the ultimate goal of ecological restoration.

[0073] This iterative mechanism has important practical significance in the process of ecological restoration. First, it ensures that ecological restoration work can be dynamically adjusted according to real-time monitoring data, maximizes the restoration effect, and avoids the risk that fixed methods cannot adapt to changing conditions. Second, through continuous monitoring and feedback, decision makers can promptly identify and respond to potential ecological risks and ensure that the restoration process of the ecosystem is scientific and reasonable. In addition, this method also promotes the transparency of information, allowing relevant stakeholders to obtain timely feedback and decision-making basis during the restoration process, thereby enhancing the public's trust and support for ecological restoration work, promoting the improvement of ecological protection awareness, and ultimately achieving sustainable development goals.

[0074] It can be seen that various ecological data of the goaf are collected, and the ecological health index of the goaf is calculated according to the ecological data; according to the ecological data and the ecological health index, the ecological restoration strategy of the goaf is output using the ecological restoration model based on machine learning; various ecological data after the goaf is repaired using the ecological restoration strategy are collected to calculate the ecological health index after the goaf is repaired, and it is determined whether the ecological health index exceeds the preset threshold; if it does not exceed the preset threshold, return to execute the step of outputting the ecological restoration strategy of the goaf according to the ecological data and the ecological health index using the ecological restoration model based on machine learning until the calculated ecological health index exceeds the preset threshold, so that the scientific and precise ecological restoration of the goaf can be achieved through systematic ecological data collection and analysis.

[0075] Another embodiment of the present invention provides a goaf ecological restoration device, see Figure 3 , the device may include: A collection module 301 is used to collect various ecological data of the goaf and calculate the ecological health index of the goaf according to the ecological data; An output module 302 is used to output an ecological restoration strategy for the goaf according to the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning; The judgment module 303 is used to collect various ecological data after the goaf is repaired using the ecological restoration strategy, so as to calculate the ecological health index after the goaf is repaired, and judge whether the ecological health index exceeds a preset threshold; The execution module 304 is used to return to the step of outputting the ecological restoration strategy of the goaf based on the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning if the preset threshold is not exceeded, until the calculated ecological health index exceeds the preset threshold.

[0076] It can be seen that various ecological data of the goaf are collected, and the ecological health index of the goaf is calculated according to the ecological data; according to the ecological data and the ecological health index, the ecological restoration strategy of the goaf is output using the ecological restoration model based on machine learning; various ecological data after the goaf is repaired using the ecological restoration strategy are collected to calculate the ecological health index after the goaf is repaired, and it is determined whether the ecological health index exceeds the preset threshold; if it does not exceed the preset threshold, return to execute the step of outputting the ecological restoration strategy of the goaf according to the ecological data and the ecological health index using the ecological restoration model based on machine learning until the calculated ecological health index exceeds the preset threshold, so that the scientific and precise ecological restoration of the goaf can be achieved through systematic ecological data collection and analysis.

[0077] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0078] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, collecting various ecological data of the goaf, and calculating the ecological health index of the goaf according to the ecological data; S202, outputting an ecological restoration strategy for the goaf using a pre-trained ecological restoration model based on machine learning according to the ecological data and the ecological health index; S203, collecting various ecological data after the goaf is repaired using the ecological restoration strategy to calculate the ecological health index after the goaf is repaired, and determining whether the ecological health index exceeds a preset threshold; S204, if it does not exceed the preset threshold, return to execute the step of outputting the ecological restoration strategy of the goaf according to the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning, until the calculated ecological health index exceeds the preset threshold.

[0079] It can be seen that various ecological data of the goaf are collected, and the ecological health index of the goaf is calculated according to the ecological data; according to the ecological data and the ecological health index, the ecological restoration strategy of the goaf is output using the ecological restoration model based on machine learning; various ecological data after the goaf is repaired using the ecological restoration strategy are collected to calculate the ecological health index after the goaf is repaired, and it is determined whether the ecological health index exceeds the preset threshold; if it does not exceed the preset threshold, return to execute the step of outputting the ecological restoration strategy of the goaf according to the ecological data and the ecological health index using the ecological restoration model based on machine learning until the calculated ecological health index exceeds the preset threshold, so that the scientific and precise ecological restoration of the goaf can be achieved through systematic ecological data collection and analysis.

[0080] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0081] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0082] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, collecting various ecological data of the goaf, and calculating the ecological health index of the goaf according to the ecological data; S202, outputting an ecological restoration strategy for the goaf using a pre-trained ecological restoration model based on machine learning according to the ecological data and the ecological health index; S203, collecting various ecological data after the goaf is repaired using the ecological restoration strategy to calculate the ecological health index after the goaf is repaired, and determining whether the ecological health index exceeds a preset threshold; S204, if it does not exceed the preset threshold, return to execute the step of outputting the ecological restoration strategy of the goaf according to the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning, until the calculated ecological health index exceeds the preset threshold.

[0083] It can be seen that various ecological data of the goaf are collected, and the ecological health index of the goaf is calculated according to the ecological data; according to the ecological data and the ecological health index, the ecological restoration strategy of the goaf is output using the ecological restoration model based on machine learning; various ecological data after the goaf is repaired using the ecological restoration strategy are collected to calculate the ecological health index after the goaf is repaired, and it is determined whether the ecological health index exceeds the preset threshold; if it does not exceed the preset threshold, return to execute the step of outputting the ecological restoration strategy of the goaf according to the ecological data and the ecological health index using the ecological restoration model based on machine learning until the calculated ecological health index exceeds the preset threshold, so that the scientific and precise ecological restoration of the goaf can be achieved through systematic ecological data collection and analysis.

[0084] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A method for ecological restoration of goaf areas, characterized in that: The method comprises: Collecting various ecological data of the goaf, and calculating the ecological health index of the goaf according to the ecological data; Outputting an ecological restoration strategy for the goaf using a pre-trained ecological restoration model based on machine learning according to the ecological data and the ecological health index; Collecting a variety of ecological data after the goaf is restored using the ecological restoration strategy to calculate the ecological health index after the goaf is restored, and determining whether the ecological health index exceeds a preset threshold; If it does not exceed the preset threshold, return to execute the step of outputting the ecological restoration strategy of the goaf based on the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning until the calculated ecological health index exceeds the preset threshold.

2. The method according to claim 1, characterized in that Calculating the ecological health index of the goaf according to the ecological data includes: The soil quality index, biodiversity index, water quality index, microbial activity index, ecological damage coefficient, current temperature, ecological restoration temperature, temperature impact coefficient, ecological restoration effort and ecological restoration resource availability of the goaf are determined to calculate the ecological health index of the goaf.

3. The method according to claim 2, characterized in that The calculation formula of the ecological health index is: ， Among them, the is the ecological health index, is the soil quality index, is the biodiversity index, is the water quality index, is the microbial activity index, is the ecological damage coefficient, is the current temperature, For ecological restoration temperature, For ecological restoration efforts, For ecological restoration resource availability, the , , , is the corresponding weight coefficient, is the temperature influence coefficient.

4. The method according to claim 3, characterized in that The soil quality index, the biodiversity index, the water source quality index, the microbial activity index, the ecological damage coefficient, the ecological restoration effort and the ecological restoration resource availability are: ， Wherein, N is the soil nitrogen content of the sampling area of ​​the goaf, P is the soil phosphorus content of the sampling area of ​​the goaf, K is the soil potassium content of the sampling area of ​​the goaf, and OM is the soil organic matter content of the sampling area of ​​the goaf; ， Among them, the is the number of existing species, is the number of historical species; ， Among them, the is the dissolved oxygen in the sampled waters of the goaf, is the biochemical oxygen demand of the sampled water area in the goaf, is the total dissolved solids in the sampled waters of the goaf, The pH value of the sampled waters in the goaf; ， Wherein, A is the total number of bacteria in the sampling area of ​​the goaf, B is the total number of fungi in the sampling area of ​​the goaf, and C is the total number of yeasts in the sampling area of ​​the goaf; ， Wherein, H is the intensity of human activities, E is the environmental pollution index, and D is the natural disaster impact score; ， Among them, the To score the technology input, Scoring financial investment, Score human input; ， Among them, the For ecological restoration of plant resources, The amount of ecological restoration technology resources is Amount of funding available for ecological restoration.

5. A goaf ecological restoration device, characterized in that: The device comprises: A collection module, used for collecting various ecological data of the goaf, and calculating the ecological health index of the goaf according to the ecological data; An output module, used to output an ecological restoration strategy for the goaf according to the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning; A judgment module, used to collect various ecological data after the goaf is repaired using the ecological restoration strategy, so as to calculate the ecological health index after the goaf is repaired, and to judge whether the ecological health index exceeds a preset threshold; The execution module is used to return to the step of outputting the ecological restoration strategy of the goaf based on the ecological data and the ecological health index using a pre-trained ecological restoration model based on machine learning if the preset threshold is not exceeded, until the calculated ecological health index exceeds the preset threshold.

6. The device according to claim 5, characterized in that The acquisition module is specifically used for: The soil quality index, biodiversity index, water quality index, microbial activity index, ecological damage coefficient, current temperature, ecological restoration temperature, temperature impact coefficient, ecological restoration effort and ecological restoration resource availability of the goaf are determined to calculate the ecological health index of the goaf.

7. The device according to claim 6, characterized in that The calculation formula of the ecological health index is: ， Among them, the is the ecological health index, is the soil quality index, is the biodiversity index, is the water quality index, is the microbial activity index, is the ecological damage coefficient, is the current temperature, For ecological restoration temperature, The ecological restoration efforts are described as follows: For ecological restoration resource availability, the , , , is the corresponding weight coefficient, is the temperature influence coefficient.

8. The device according to claim 7, characterized in that The soil quality index, the biodiversity index, the water source quality index, the microbial activity index, the ecological damage coefficient, the ecological restoration effort and the ecological restoration resource availability are: ， Wherein, N is the soil nitrogen content of the sampling area of ​​the goaf, P is the soil phosphorus content of the sampling area of ​​the goaf, K is the soil potassium content of the sampling area of ​​the goaf, and OM is the soil organic matter content of the sampling area of ​​the goaf; ， Among them, the is the number of existing species, is the number of historical species; ， Among them, the is the dissolved oxygen in the sampled waters of the goaf, is the biochemical oxygen demand of the sampled water area in the goaf, is the total dissolved solids in the sampled waters of the goaf, The pH value of the sampled waters in the goaf; ， Wherein, A is the total number of bacteria in the sampling area of ​​the goaf, B is the total number of fungi in the sampling area of ​​the goaf, and C is the total number of yeasts in the sampling area of ​​the goaf; ， Wherein, H is the intensity of human activities, E is the environmental pollution index, and D is the natural disaster impact score; ， Among them, the To score the technology input, Scoring financial investment, Score human input; ， Among them, the For ecological restoration of plant resources, The amount of ecological restoration technology resources is Amount of funding available for ecological restoration.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 4 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 4.

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