Method and system for determining plant species for ecological restoration of photovoltaic station

Abstract

The invention provides a method and system for determining plant species for ecological restoration of a photovoltaic station, and the method comprises the steps: carrying out the background investigation of the environment of the photovoltaic station, obtaining a plurality of parameters related to the growth of plants, and screening out a plurality of candidate plants suitable for the environment of the photovoltaic station according to the plurality of parameters; planting tests are conducted on the multiple candidate plants in different areas of the photovoltaic station, and multiple test parameters of the multiple candidate plants in the overall growth cycle are collected; and selecting a target plant type for ecological restoration of the photovoltaic station from the plurality of candidate plants by evaluating the test parameters of the plurality of candidate plants, the plurality of functional parameters and whether the plurality of candidate plants are suitable for the local conditions of the photovoltaic station. According to the method, the plant species suitable for ecological restoration of the photovoltaic station are screened by combining multiple factors based on preliminary screening of natural environment parameters and small-scale planting experiments, and the accuracy and reliability of the screened plant species are improved.

Description

Technical Field

[0001] This application relates to the field of photovoltaic power plant ecological restoration technology, and in particular to a method and system for determining plant species for the ecological restoration of photovoltaic power plants. Background Technology

[0002] Currently, photovoltaic power plants have an impact on the ecological environment of the construction site during construction and after operation. In order to protect the environment and maintain the operation of the power plants, it is necessary to restore the ecological environment of the area where the photovoltaic power plants are located.

[0003] In related technologies, ecological restoration measures for photovoltaic power plants include setting up different types of sand barriers, ridging and mineralization, water-saving irrigation, and planting various types of vegetation such as shrubs. However, regarding planting, there is a lack of feasible plans to determine the most suitable plant species for ecological restoration of different photovoltaic power plants. Generally, plant species are selected based on experience, which may lead to low plant survival rates and poor ecological restoration results.

[0004] Therefore, accurately determining the plant species suitable for the ecological restoration of photovoltaic power plants has become an urgent problem to be solved. Summary of the Invention

[0005] This application aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the first objective of this application is to propose a method for determining plant species for ecological restoration of photovoltaic power stations. This method, through preliminary screening based on natural environmental parameters and small-scale planting experiments, combined with multiple factors, selects plant species suitable for ecological restoration of photovoltaic power stations, thereby improving the accuracy and reliability of the selected plant species and enhancing the effectiveness of ecological restoration of photovoltaic power stations.

[0007] The second objective of this application is to propose a system for identifying plant species for ecological restoration of photovoltaic power plants.

[0008] The third objective of this application is to propose an electronic device.

[0009] The fourth objective of this application is to provide a non-transitory computer-readable storage medium.

[0010] To achieve the above objectives, the first aspect of this application is to propose a method for determining plant species for ecological restoration of photovoltaic power plants, comprising the following steps:

[0011] A baseline survey of the photovoltaic power station environment was conducted to obtain various parameters related to plant growth in the photovoltaic power station, and various candidate plants adapted to the environment of the photovoltaic power station were screened based on the various parameters.

[0012] Planting experiments were conducted on the various candidate plants in different areas of the photovoltaic power station, and various test parameters of the various candidate plants were collected during the overall growth cycle. The different areas were determined based on the photovoltaic array in the photovoltaic power station, and the various test parameters included various stress resistance performance indicators.

[0013] By evaluating the experimental parameters, multiple functional parameters, and suitability for the local conditions of the photovoltaic power station of the various candidate plants, a target plant type for the ecological restoration of the photovoltaic power station is selected from the various candidate plants.

[0014] Optionally, the multiple parameters include multiple soil condition parameters. The acquisition of multiple parameters related to plant growth in the photovoltaic power station includes: collecting soil samples at each soil sampling point using an undisturbed soil sampling device; measuring the bulk density and multiple organic carbon parameters of the soil samples; conducting plant abundance tests on the soil samples; and acquiring multiple plant community characteristics of the soil samples.

[0015] Optionally, the planting experiment on the various candidate plants in different areas of the photovoltaic power station includes: determining the sample plot area of ​​the planting experiment based on the spacing of the photovoltaic array; planting different types of plants according to the sample plot area in a predetermined area below the photovoltaic panels, between the photovoltaic panels, and outside the photovoltaic array; and determining the seed density corresponding to each planting area based on the soil condition parameters of each planting area.

[0016] Optionally, the various stress resistance performance indicators of the candidate plants are collected throughout their overall growth cycle, including: during the seed germination period, monitoring the relative germination rate, relative germination index, and relative vigor index of each candidate plant; and during the seedling and growth periods, monitoring the changes in cellular antioxidant performance, macroscopic growth indicators, and intracellular carbon and nitrogen metabolism response indicators of each candidate plant.

[0017] Optionally, the various stress resistance performance indicators of the candidate plants are collected throughout their overall growth cycle, including: detecting the salinity of the water source of the photovoltaic power station, and conducting drought and salt stress clustering and sorting tests and salinity gradient acclimatization tests on the candidate plants when the salinity exceeds a first threshold, to obtain the variation pattern of plant growth with salinity for different candidate plants; based on the variation pattern, selecting drought and salt tolerant plant varieties suitable for the photovoltaic power station from the various candidate plants.

[0018] Optionally, after detecting the salinity of the water source of the photovoltaic power station, the method further includes: if the salinity exceeds a second threshold and the test parameters of the multiple candidate plants are lower than expected, desalinating the water source of the photovoltaic power station.

[0019] Optionally, assessing whether the multiple candidate plants are suitable for the local conditions of the photovoltaic power station includes: assessing whether each candidate plant is suitable for the operation and maintenance management of the photovoltaic power station; assessing whether each candidate plant is suitable for local seed banks and spectral resources; after selecting the target plant type for ecological restoration of the photovoltaic power station, the method further includes: separating the target spectrum required for the growth of the target plant from the light for absorption by the target plant, and using the spectrally separated light for photovoltaic power generation.

[0020] To achieve the above objectives, a second aspect of this application also proposes a system for determining plant species for ecological restoration of photovoltaic power plants, comprising the following modules:

[0021] The preliminary screening module is used to conduct a baseline survey of the environment of the photovoltaic power station, obtain various parameters related to plant growth in the photovoltaic power station, and screen out various candidate plants that are adapted to the environment of the photovoltaic power station based on the various parameters.

[0022] The experimental module is used to conduct planting experiments on the various candidate plants in different areas of the photovoltaic power station, and to collect various experimental parameters of the various candidate plants during the overall growth cycle. The different areas are determined based on the photovoltaic array in the photovoltaic power station, and the various experimental parameters include various stress resistance performance indicators.

[0023] An evaluation module is used to select a target plant type for ecological restoration of the photovoltaic power station from a variety of candidate plants by evaluating the experimental parameters, multiple functional parameters, and suitability for the local conditions of the photovoltaic power station.

[0024] To achieve the above objectives, a third aspect of this application also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform a method for determining plant species for ecological restoration of photovoltaic power plants as described in any of the first aspects above.

[0025] To achieve the above objectives, the fourth aspect of this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for determining plant species for ecological restoration of photovoltaic power stations as described in any of the first aspects above.

[0026] The technical solution provided by the embodiments of this application brings at least the following beneficial effects: First, this application obtains multiple natural environmental parameters of the photovoltaic power station through baseline surveys, and preliminarily screens out various candidate plants that can adapt to the natural environment of the photovoltaic power station. Then, based on the photovoltaic array in the photovoltaic power station, multiple areas are divided to conduct small-scale planting experiments on various candidate plants, collecting various experimental parameters of various candidate plants throughout their overall growth cycle, and analyzing the differences in various stress resistance indicators of different plant varieties at different growth cycles, so as to screen from multiple aspects such as drought resistance, salt stress resistance, stress resistance, and lodging resistance. Finally, combining measured parameters, functional parameters, and whether they are suitable for the local conditions of the photovoltaic power station, the optimal plant type for the ecological restoration of this power station is determined. Therefore, this application comprehensively considers various factors such as the environmental differences and water resource characteristics of different areas of the photovoltaic power station array, and conducts selection and breeding of weather-resistant and adaptable ecological restoration plants, determining the most suitable plant species for the current ecological restoration of the power station. This application improves the accuracy, rationality, and reliability of the screened plant species, ensuring the growth status of the selected plant species in subsequent applications and improving the effect of ecological restoration of the photovoltaic power station.

[0027] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0028] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0029] Figure 1 This is a flowchart illustrating a method for determining plant species for ecological restoration of photovoltaic power stations, as proposed in an embodiment of this application.

[0030] Figure 2 This is a flowchart illustrating a planting experiment method for multiple candidate plants proposed in an embodiment of this application.

[0031] Figure 3 This is a schematic diagram of the structure of a system for determining plant species for ecological restoration of photovoltaic power plants, as proposed in an embodiment of this application. Detailed Implementation

[0032] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0033] The following description, with reference to the accompanying drawings, illustrates a method and system for determining plant species for ecological restoration of photovoltaic power plants, as proposed in an embodiment of this application.

[0034] Figure 1 This is a flowchart illustrating a method for determining plant species for ecological restoration of photovoltaic power plants, as proposed in an embodiment of this application. Figure 1 As shown, the method includes the following steps:

[0035] Step S101: Conduct a baseline survey of the photovoltaic power station environment, obtain various parameters related to plant growth in the photovoltaic power station, and screen out various candidate plants adapted to the photovoltaic power station environment based on these parameters.

[0036] Among them, conducting a baseline survey of the environment of photovoltaic power stations involves a comprehensive investigation of various basic environmental factors such as soil, water, and atmosphere in photovoltaic power stations before the start of the ecological restoration project, in order to obtain basic data for subsequent analysis and processing.

[0037] Specifically, this application can combine multiple methods to conduct environmental baseline surveys of photovoltaic power stations currently undergoing ecological restoration, collect data on various parameters related to plant growth, such as the current landform, climate, soil conditions, and water resources environment of the photovoltaic power station, and analyze the evolution patterns of each parameter.

[0038] As one possible approach, environmental baseline surveys can be conducted through various methods, such as reviewing existing literature on photovoltaic power plants, investigating local seed databases, and carrying out field sampling tests, followed by analysis of the collected data.

[0039] In one embodiment of this application, multiple parameters include multiple soil condition parameters. To obtain multiple parameters related to plant growth in the photovoltaic power station, the following methods are used: collecting soil samples at each soil sampling point using an undisturbed soil sampling device; measuring the bulk density and multiple organic carbon parameters of the soil samples; and conducting plant abundance tests on the soil samples to obtain multiple plant community characteristics of the soil samples.

[0040] Specifically, in this embodiment, during the baseline survey, multiple soil condition parameters of the photovoltaic power station are obtained through on-site sampling and testing. First, before sampling, debris unrelated to plant growth on the surface of the photovoltaic power station is removed. Soil samples are collected from the sampling area at each sampling point in 20cm increments, i.e., 0-20cm, 20-40cm, etc., using an undisturbed soil sampling device, such as an undisturbed soil sampling drill.

[0041] Then, the bulk density of each soil sample collected at different sampling points, as well as organic carbon parameters such as total organic carbon (TOC) and easily oxidizable organic carbon (EOC), were measured to reflect the different forms and characteristics of organic carbon in the soil samples. The soil carbon pool activity of the photovoltaic power station was then assessed based on the TOC and EOC contents. TOC reflects the total amount of all organic carbon in the soil sample, while EOC reflects the portion of organic carbon in the soil that is more easily oxidized. The ratio of EOC to TOC can be calculated to obtain the carbon storage activity (CSA), which measures the proportion of active organic carbon in the soil sample.

[0042] Plant diversity and abundance tests were then conducted on soil samples from different sampling points. For example, the existing plant populations in the soil samples could be analyzed to obtain multiple plant community characteristics, such as the current plant species, number of species, number of individuals, total community cover, and species coverage. Total community cover refers to the percentage of the projected area of ​​all plants in the plant community relative to the sample plot area, while species coverage refers to the percentage of the projected area of ​​a specific plant species relative to the sample plot area. It is understood that the cover and composition of the plant community affect the physical, chemical, and biological properties of the soil. By studying total community cover and species coverage, we can indirectly understand the functional ecology and health status of the soil. Furthermore, soil microorganisms and other factors influence plant growth and community structure. Therefore, this embodiment, by analyzing existing plant community characteristics, can further determine the soil conditions in the photovoltaic power station and facilitate the identification of plant characteristics suitable for the current photovoltaic power station.

[0043] Therefore, this application obtained various natural environmental parameters related to plant growth, including soil condition parameters. Based on these parameters, pioneer plant species and multiple candidate plants that can adapt to the local environment of the current photovoltaic power station were preliminarily selected. For example, by combining expert knowledge and on-site surveys, various plant species that can grow normally under the aforementioned natural environmental parameters were identified as candidate plants.

[0044] Step S102: Planting experiments are conducted on various candidate plants in different areas of the photovoltaic power station, and various test parameters of the candidate plants are collected during the overall growth cycle. The different areas are determined based on the photovoltaic array in the photovoltaic power station, and the various test parameters include various stress resistance performance indicators.

[0045] Specifically, this application involves small-scale trial planting of various candidate plants to facilitate the subsequent selection of suitable plant species based on actual experimental parameters. In particular, this application conducts planting experiments tailored to the environmental differences in different areas of the photovoltaic power station. Furthermore, to improve the comprehensiveness and diversity of the obtained experimental parameters, this application collects various experimental parameters of the candidate plants throughout their complete growth cycle, such as survival rate and growth status at each stage.

[0046] As an example, addressing the severe drought, soil salinization, and strong winds and sandstorms in the arid northwest region, a multi-level screening and evaluation system (e.g., using the Projection Prospecting (PPA) algorithm) is employed. The focus is on screening plants based on drought tolerance, salt stress tolerance, stress resistance, and lodging resistance. The PPA algorithm is used to statistically analyze different types of experimental parameters, extract features, and comprehensively evaluate various indicators of different plants through regression analysis. The survival rate and growth status experiments of different plants cover the entire growth cycle, from seed to seedling and later stages, to comprehensively understand and differentiate the differences in stress resistance indicators among different plant varieties at different growth stages. Furthermore, corresponding planting experiments are conducted in different regions to study the compatibility with the microclimate and wind and sand environments of different photovoltaic power stations, ultimately leading to the identification of a plant species suitable for ecological restoration of photovoltaic power stations.

[0047] To more clearly illustrate the specific implementation process of planting various candidate plants in different areas of a photovoltaic power station, the following is an illustrative example of a specific plant planting method proposed in one embodiment of this application.

[0048] Figure 2 This is a flowchart illustrating a planting experiment method for multiple candidate plants proposed in an embodiment of this application, as shown below. Figure 2 As shown, the method includes the following steps:

[0049] Step S201: Determine the sample plot area for the planting experiment based on the spacing of the photovoltaic array.

[0050] Specifically, to reduce costs, this application embodiment conducts small-scale planting trials, statistically analyzing various plant parameters within sample plots of a certain area. By rationally setting the sample plot area, planting costs are saved while ensuring the collection of the required experimental parameters.

[0051] As an example, since the area for planting trials in this application is divided based on the photovoltaic arrays in the photovoltaic power station, the area of ​​each sample plot can be set to 0.5×0.5cm or 1×1cm, etc., depending on the spacing between the photovoltaic power station arrays in different areas.

[0052] Step S202: Plant different types of plants in the preset areas below the photovoltaic panels, between the photovoltaic panels, and outside the photovoltaic array, according to the area of ​​the sample plot.

[0053] Specifically, based on historical experimental results, plant diversity and plant richness in the soil seed bank under solar panels are significantly lower than those between panels, while plant evenness shows no significant difference. Therefore, to ensure the comprehensiveness and accuracy of the experimental results, the environmental baseline survey, quadrat setup, and sampling tests in this application need to cover three typical areas: under the photovoltaic panels, between the panels, and outside the array. In this embodiment, corresponding types of plants are planted in these three planting areas respectively.

[0054] For example, since the area beneath the photovoltaic panels receives primarily diffused light, while the areas between the panels and outside the photovoltaic array receive direct sunlight, vegetation restoration is carried out under the panels using plants that have lower light requirements and prefer diffused light. Between the panels, plant species with higher diversity and higher light requirements are planted. Furthermore, straw checkerboard barriers or protective forests are used outside the photovoltaic array to resist wind and sand erosion, ensuring the overall health and function of the ecosystem. Within these three planting areas, multiple quadrats can be set up according to the quadrat area determined in step S201, and the corresponding types of plants can be planted.

[0055] Step S203: Determine the seed density for each planting area based on the soil condition parameters within each planting area.

[0056] Continuing with the example above, for the area beneath the photovoltaic panels, soil moisture content is the primary predictor of seed density; for the areas between photovoltaic panels and outside the photovoltaic array, aboveground vegetation biomass is the best predictor of seed density. Soil moisture content and aboveground vegetation biomass can be determined based on multiple soil condition parameters obtained from the baseline survey in step S101.

[0057] Furthermore, by predicting the seed density in each planting area based on the seed density prediction factor corresponding to each planting area, and planting according to the predicted seed density, the success rate of the planting experiment can be improved.

[0058] Furthermore, various experimental parameters of candidate plants were collected throughout their overall growth cycle, including multiple stress resistance indicators.

[0059] In one embodiment of this application, multiple stress resistance performance indicators of various candidate plants are collected throughout their overall growth cycle, including: during the seed germination period, monitoring the relative germination rate, relative germination index, and relative vigor index of each candidate plant; and during the seedling and growth periods, monitoring the changes in cellular antioxidant performance, macroscopic growth indicators, and intracellular carbon and nitrogen metabolism response indicators of each candidate plant.

[0060] Specifically, this embodiment divides the overall plant growth cycle into seed germination, seedling stage, and late growth stage. During the seed germination experiment, the focus is on various stress resistance evaluation indicators, such as relative germination rate, relative germination index, and relative vigor index. During the seedling and growth stages, the focus is on changes in cellular antioxidant properties, such as the changes in superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), and malondialdehyde (MDA), reflecting the antioxidant capacity and damage level of different plant cells under photovoltaic power station conditions. Furthermore, during the seedling and growth stages, macroscopic growth indicators (such as plant height, diameter at breast height, and crown width) and intracellular carbon and nitrogen metabolism response indicators (major components such as chlorophyll, soluble sugars and proteins, starch, free amino acids, and key enzyme activities, such as nitrate reductase, glutamate synthase, and sucrose phosphate synthase) are also considered. Therefore, this embodiment can determine the optimal plant species through comprehensive analysis of these key indicators.

[0061] Furthermore, as mentioned above, since photovoltaic power stations may be located in areas with severe salinization, this application can also obtain salt stress tolerance indicators for a variety of candidate plants.

[0062] In one embodiment of this application, the method of collecting various stress resistance performance indicators of multiple candidate plants throughout their overall growth cycle includes: detecting the salinity of the water source of the photovoltaic power station, and conducting drought and salt stress clustering and sorting tests and salinity gradient acclimatization tests on multiple candidate plants when the salinity exceeds a first threshold, so as to obtain the variation pattern of plant growth with salinity for different candidate plants; and based on the variation pattern, selecting drought and salt tolerant plant varieties suitable for photovoltaic power stations from multiple candidate plants.

[0063] Specifically, if the salinity of the water source for the photovoltaic power station exceeds the first threshold, it indicates that the drip irrigation and maintenance water source around the photovoltaic power station is saline or alkaline water with high salinity. Therefore, to ensure the subsequent growth of plants and the effectiveness of ecological restoration, drought and salt stress clustering and sorting experiments and salinity gradient acclimatization experiments were conducted on various candidate plants to obtain the variation patterns of different plant growth with salinity, such as the variation patterns of macroscopic growth indicators and internal metabolic indicators of each plant with salinity. Furthermore, based on the variation patterns of the growth of each candidate plant with salinity, the salinity tolerance thresholds of different plants were determined, and drought- and salt-tolerant plant varieties were screened to ensure that they adapt to the current growth environment of the photovoltaic power station.

[0064] As one possible approach, during drought and salt stress clustering and sorting experiments, different stress treatment groups are first established, such as drought stress (simulated using different concentrations of PEG-6000) and salt stress (simulated using different concentrations of NaCl). A control group (without stress treatment) is also set up. Then, in the index measurement phase, a series of indicators related to plant growth and tolerance are measured, such as germination rate, germination potential, root length, shoot length, fresh weight, dry weight, germination index, and vigor index. Data analysis is then performed, using statistical methods such as principal component analysis and cluster analysis to comprehensively analyze the measured indicators. Through cluster analysis, different plant varieties or germplasm resources are classified into different categories based on their drought and salt tolerance abilities, such as extremely salt-tolerant, salt-tolerant, salt-sensitive, and extremely salt-sensitive.

[0065] In salinity gradient acclimatization experiments, a series of gradually increasing salt concentration gradients were set up, such as 0, 50, 100, 150, and 200 mmol / L NaCl. Acclimatization treatment was then carried out by planting various candidate plants in culture media or nutrient solutions containing different salt concentrations, gradually increasing the salt concentration to allow the plants to adapt to the high-salt environment. At each salt concentration, the plants typically needed to grow for a period of time (e.g., several days or weeks) to observe their adaptive response to salt stress. During the acclimatization process, plant growth and physiological indicators, such as biomass, root length, chlorophyll content, and antioxidant enzyme activity (e.g., SOD, POD, CAT), were regularly measured to assess the plants' salt tolerance and acclimatization effect. Finally, the changes in plant growth and physiological indicators under different salt concentrations were analyzed to determine the plant's salt tolerance threshold and acclimatization potential, and plant species with strong salt tolerance and acclimatization potential were screened out.

[0066] In this embodiment, after detecting the salinity of the water source of the photovoltaic power station, the method further includes: desalinating the water source of the photovoltaic power station when the salinity exceeds a second threshold and the test parameters of multiple candidate plants are lower than expected.

[0067] Specifically, when salinity exceeds the second threshold and the experimental parameters of various candidate plants, such as growth cycle, are all lower than expected, it indicates that excessive salinity in saline or alkaline water significantly inhibits plant growth. Therefore, to ensure the ecological restoration effect of the photovoltaic power station, this embodiment can adopt desalination of water sources or dilution drip irrigation measures to ensure the normal growth of ecological restoration plants.

[0068] Step S103: By evaluating the experimental parameters, multiple functional parameters, and suitability of various candidate plants for local conditions of the photovoltaic power station, target plant types for ecological restoration of the photovoltaic power station are selected from a variety of candidate plants.

[0069] Specifically, by combining various experimental parameters of the candidate plants obtained in the previous step, functional parameters of the candidate plants (such as the ecological functions and economic value of the candidate plants), and whether they are suitable for the local conditions of the current photovoltaic power station, the best plant type for the ecological restoration of this photovoltaic power station is determined.

[0070] In one embodiment of this application, evaluating whether multiple candidate plants are suitable for the local conditions of a photovoltaic power station includes: evaluating whether each candidate plant is suitable for the operation and maintenance management of the photovoltaic power station; evaluating whether each candidate plant is suitable for local seed banks and spectral resources; after selecting the target plant type for ecological restoration of the photovoltaic power station, the method further includes: separating the target spectrum required for the growth of the target plant from the light for absorption by the target plant, and using the spectrally separated light for photovoltaic power generation.

[0071] Specifically, the first step is to assess whether each candidate plant is convenient for the management of the photovoltaic power station. For example, based on the existing operation and maintenance management plan for the station, can the normal growth and management needs of the plants be met according to the operation and maintenance cycle and measures in the plan? The next step is to assess whether each candidate plant is convenient for utilizing local resources. For example, can the plant be easily planted using a local seed bank, and whether the local light spectrum is favorable for the plant's growth in addition to normal photovoltaic power generation, so as to make full use of light resources.

[0072] Furthermore, after planting the final target plants, a spectral component device is set up to separate the specific spectrum required for the growth of the target plants for the plants to absorb, and the remaining light is used for photovoltaic power generation to optimize the utilization of light resources.

[0073] In summary, the method for determining plant species for ecological restoration of photovoltaic power stations in this application first obtains multiple natural environmental parameters of the photovoltaic power station through baseline surveys, and preliminarily screens out various candidate plants that can adapt to the natural environment of the photovoltaic power station. Then, based on the photovoltaic array in the photovoltaic power station, multiple areas are divided to conduct small-scale planting experiments on various candidate plants, collecting various experimental parameters of various candidate plants throughout their overall growth cycle, and analyzing the differences in various stress resistance indicators of different plant varieties at different growth cycles, so as to screen from multiple aspects such as drought resistance, salt stress resistance, stress resistance, and lodging resistance. Finally, combining measured parameters, functional parameters, and whether they are suitable for the local conditions of the photovoltaic power station, the optimal plant type for ecological restoration of the power station is determined. Thus, this method comprehensively considers various factors such as the environmental differences and water resource characteristics of different areas of the photovoltaic power station array, and conducts selection and breeding of weather-resistant and adaptable ecological restoration plants to determine the most suitable plant species for the current ecological restoration of the power station. This method improves the accuracy, rationality, and reliability of the selected plant species, can ensure the growth status of the selected plant species in subsequent applications, and improves the effect of ecological restoration of photovoltaic power stations.

[0074] To achieve the above embodiments, this application also proposes a system for determining plant species for ecological restoration of photovoltaic power plants. Figure 3 This is a schematic diagram of the structure of a system for determining plant species for ecological restoration of photovoltaic power plants, as proposed in an embodiment of this application. Figure 3 As shown, the system includes:

[0075] The preliminary screening module 100 is used to conduct a baseline survey of the environment of the photovoltaic power station, obtain various parameters related to plant growth in the photovoltaic power station, and screen out various candidate plants that are suitable for the environment of the photovoltaic power station based on the various parameters.

[0076] The test module 200 is used to conduct planting experiments on a variety of candidate plants in different areas of the photovoltaic power station, and to collect a variety of test parameters of the candidate plants during their overall growth cycle. The different areas are determined based on the photovoltaic array in the photovoltaic power station, and the various test parameters include a variety of stress resistance performance indicators.

[0077] The evaluation module 300 is used to select target plant types for ecological restoration of photovoltaic power stations from a variety of candidate plants by evaluating experimental parameters, multiple functional parameters, and suitability for local conditions of photovoltaic power stations.

[0078] It should be noted that the explanation of the aforementioned method for determining plant species for ecological restoration of photovoltaic power plants also applies to the system of this embodiment, and will not be repeated here.

[0079] In summary, the plant species determination system for ecological restoration of photovoltaic power plants according to the embodiments of this application improves the accuracy, rationality, and reliability of the selected plant species, ensures the growth status of the selected plant species in subsequent applications, and improves the effect of ecological restoration of photovoltaic power plants.

[0080] To implement the above embodiments, this application also proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method for determining plant species for ecological restoration of photovoltaic power stations as described in any of the first aspects above.

[0081] To implement the above embodiments, this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for determining plant species for ecological restoration of photovoltaic power stations as described in any one of the first aspect embodiments above.

[0082] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0083] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0084] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0085] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0086] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0087] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0088] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0089] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for determining plant species for ecological restoration of photovoltaic power plants, characterized in that, Includes the following steps: A baseline survey of the photovoltaic power station environment was conducted to obtain various parameters related to plant growth in the photovoltaic power station, and various candidate plants adapted to the environment of the photovoltaic power station were screened based on the various parameters. Planting experiments were conducted on the various candidate plants in different areas of the photovoltaic power station, and various test parameters of the various candidate plants were collected during the overall growth cycle. The different areas were determined based on the photovoltaic array in the photovoltaic power station, and the various test parameters included various stress resistance performance indicators. By evaluating the experimental parameters, multiple functional parameters, and suitability for the local conditions of the photovoltaic power station of the various candidate plants, a target plant type for the ecological restoration of the photovoltaic power station is selected from the various candidate plants.

2. The method according to claim 1, characterized in that, The various parameters include multiple soil condition parameters. The acquisition of these parameters related to plant growth in the photovoltaic power station includes: Soil samples were collected at each soil sampling point using an undisturbed soil sampling device. The bulk density and multiple organic carbon parameters of the soil samples were measured. Plant abundance tests were performed on the soil samples to obtain multiple plant community characteristics of the soil samples.

3. The method according to claim 2, characterized in that, The planting trials of the various candidate plants were conducted in different areas of the photovoltaic power station, including: The area of ​​the sample plot for the planting experiment is determined based on the spacing of the photovoltaic array; Different types of plants are planted in the preset areas below the photovoltaic panels, between the photovoltaic panels, and outside the photovoltaic array, according to the area of ​​the sample plot. Based on the soil condition parameters of each planting area, the seed density corresponding to each planting area is determined.

4. The method according to claim 1, characterized in that, The various stress resistance performance indicators of the candidate plants were collected throughout their overall growth cycle, including: During the seed germination period, the relative germination rate, relative germination index, and relative vigor index of each candidate plant were monitored. During the seedling and growth stages, the changes in cellular antioxidant capacity, macroscopic growth indicators, and intracellular carbon and nitrogen metabolism response indicators of each candidate plant were monitored.

5. The method according to claim 1, characterized in that, The various stress resistance performance indicators of the candidate plants were collected throughout their overall growth cycle, including: The salinity of the water source of the photovoltaic power station is detected, and when the salinity exceeds a first threshold, drought and salt stress clustering and sorting tests and salinity gradient acclimatization tests are conducted on the various candidate plants to obtain the variation of plant growth with salinity for different candidate plants. Based on the aforementioned patterns of change, drought- and salt-tolerant plant varieties suitable for the photovoltaic power station were selected from the various candidate plants.

6. The method according to claim 5, characterized in that, After detecting the salinity of the water source at the photovoltaic power station, the method further includes: When the salinity exceeds a second threshold and the test parameters of the various candidate plants are lower than expected, the water source of the photovoltaic power station is desalinated.

7. The method according to claim 1, characterized in that, The assessment of whether the various candidate plants are suitable for the local conditions of the photovoltaic power station includes: Evaluate whether each of the candidate plants is suitable for the operation and maintenance management of the photovoltaic power station; Assess the suitability of each of the candidate plants for local seed banks and spectral resources; After selecting the target plant types for the ecological restoration of the photovoltaic power station, the method further includes: The target spectrum required for the growth of the target plant is separated from the light so that the target plant can absorb it, and the separated light is used for photovoltaic power generation.

8. A system for determining plant species for ecological restoration of photovoltaic power plants, characterized in that, Includes the following modules: The preliminary screening module is used to conduct a baseline survey of the environment of the photovoltaic power station, obtain various parameters related to plant growth in the photovoltaic power station, and screen out various candidate plants that are adapted to the environment of the photovoltaic power station based on the various parameters. The experimental module is used to conduct planting experiments on the various candidate plants in different areas of the photovoltaic power station, and to collect various experimental parameters of the various candidate plants during the overall growth cycle. The different areas are determined based on the photovoltaic array in the photovoltaic power station, and the various experimental parameters include various stress resistance performance indicators. An evaluation module is used to select a target plant type for ecological restoration of the photovoltaic power station from a variety of candidate plants by evaluating the experimental parameters, multiple functional parameters, and suitability for the local conditions of the photovoltaic power station.

9. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method for determining plant species for ecological restoration of photovoltaic power plants as described in any one of claims 1-7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for determining plant species for ecological restoration of photovoltaic power stations as described in any one of claims 1-7.

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