CN-121970651-A - Method for repairing grassland vegetation differentiation under photovoltaic panel and between panels

CN121970651ACN 121970651 ACN121970651 ACN 121970651ACN-121970651-A

Abstract

The invention relates to the technical field of photovoltaics, and discloses a method for repairing vegetation differentiation of grasslands under and between photovoltaic panels, which comprises the following steps: collecting grassland vegetation state data of a photovoltaic under-plate area and an under-plate area, wherein the grassland vegetation state data comprises vegetation coverage, species composition, species diversity, soil parameters and illumination intensity data, carrying out under-plate and under-plate environment difference analysis processing based on the grassland vegetation state data to generate environment difference data, formulating a differential restoration scheme based on moisture distribution difference, illumination shielding difference and soil nutrient difference by collecting grassland vegetation state data of the under-plate area and generating the environment difference data, ensuring that different vegetation types and maintenance strategies are adopted for under-plate shading environments and under-plate open environments, solving the problem of mismatch between the restoration strategies and local microenvironments, ensuring the pertinence and adaptability of vegetation restoration, improving vegetation survival rate and community stability, and reducing community degradation risk.

Inventors

ZHANG WEI
XIE ZHIGUO
Li Niwen
YANG YAYUN
WANG RONG
CHENG CHEN

Assignees

西北农林科技大学

Dates

Publication Date: 20260505
Application Date: 20260127

Claims (10)

1. The method for repairing the vegetation differentiation of the grasslands under the photovoltaic panel and between the photovoltaic panels is characterized by comprising the following steps of: S1, collecting grassland vegetation state data of a photovoltaic plate lower area and a plate-to-plate area, wherein the grassland vegetation state data comprise vegetation coverage, species composition, species diversity, soil parameters and illumination intensity data; S2, performing under-board and inter-board environmental difference analysis processing based on the grassland vegetation state data to generate environmental difference data, wherein the environmental difference data comprises moisture distribution differences, illumination shielding differences and soil nutrient differences; S3, formulating a differential repair scheme according to the environmental difference data to generate repair scheme data, wherein the repair scheme data comprises a subplate area negative-resistance vegetation type selection scheme and an inter-plate area light-preference vegetation type selection scheme; s4, implementing vegetation restoration measures according to the restoration scheme data, and generating restoration implementation data, wherein the restoration implementation data comprise sowing quantity, irrigation frequency and fertilization strategies; s5, monitoring the vegetation state after repair according to the repair implementation data, and generating repair effect data, wherein the repair effect data comprises vegetation growth rate and coverage rate change; s6, adjusting a repair strategy based on the repair effect data to generate adjusted repair data, wherein the adjusted repair data comprises a dynamic optimized irrigation and reseeding scheme; And S7, integrating the adjusted repair data to output a vegetation repair report, and summarizing parameters and effects of the whole repair process.
2. The method for repairing the grass vegetation differentiation between the photovoltaic under-plate and the inter-plate according to claim 1, wherein the step of collecting the grass vegetation status data of the photovoltaic under-plate area and the inter-plate area in S1 comprises the following steps: s11, carrying a multispectral camera on an unmanned aerial vehicle to collect vegetation coverage data of an area under a photovoltaic panel, and generating vegetation coverage data under the panel; s12, collecting soil humidity, pH value and nutrient content data of the inter-plate area through a ground sensor network, and generating inter-plate soil parameter data; And S13, measuring the illumination intensity distribution of the area under the photovoltaic panel and between the photovoltaic panels by using the illumination sensor to generate illumination intensity data.
3. The method for repairing vegetation differentiation between a photovoltaic panel and an inter-panel grassland according to claim 2, wherein the generating environmental difference data in S2 comprises the steps of: s21, acquiring the under-board vegetation coverage data, inter-board soil parameter data and illumination intensity data; S22, analyzing the water distribution difference between the lower area of the plate and the area between the plates by adopting a numerical comparison algorithm to generate water difference data; S23, calculating the illumination shielding rate of the area under the plate based on the illumination intensity data, and generating illumination shielding difference data; And S24, evaluating the soil nutrient balance of the areas under and among the plates by combining the soil parameter data, and generating soil nutrient difference data.
4. The method for differential repair of grassland vegetation under and between photovoltaic panels according to claim 3, wherein the generating of repair plan data in S3 comprises the steps of: s31, determining that the under-plate area is suitable for planting the negative-resistance grass seeds according to the moisture difference data, the illumination shielding difference data and the soil nutrient difference data; S32, selecting a grass seed of hedyotis diffusa as a repairing main body according to the illumination advantage of the area between the plates; s33, optimizing the pattern selection scheme by combining the historical vegetation data, and generating an under-board negative-tolerance vegetation pattern selection scheme and an inter-board light-preference vegetation pattern selection scheme.
5. The method for differential repair of grassland vegetation under and between photovoltaic panels according to claim 4, wherein generating repair implementation data in S4 comprises the steps of: S41, calculating the sowing density of the under-board area and the sowing interval of the inter-board area based on the under-board negative-resistant vegetation type selection scheme and the inter-board light-preference vegetation type selection scheme; S42, making a differential irrigation plan according to the water difference data, wherein high-frequency low-volume irrigation is adopted in the area under the plate, and low-frequency high-volume irrigation is adopted in the area between the plates; s43, preparing the proportion of the organic fertilizer to the fertilizer according to the soil nutrient difference data, and generating fertilizer strategy data.
6. The method for differential repair of grassland vegetation under and between photovoltaic panels according to claim 5, wherein generating repair effect data in S5 comprises the steps of: S51, vegetation coverage change is monitored through regular unmanned aerial vehicle aerial photography, and coverage change data is generated; s52, continuously collecting soil parameters by using a soil sensor to generate soil dynamic data; and S53, evaluating vegetation growth rate by combining the coverage change data and the soil dynamic data to generate restoration effect data.
7. The method for differential repair of grassland vegetation under and between photovoltaic panels according to claim 6, wherein generating the adjusted repair data in S6 comprises the steps of: S61, when the vegetation growth rate in the repair effect data is lower than a threshold value, increasing the irrigation frequency of the under-plate area; S62, when the coverage rate of the area between the plates is insufficient, starting a reseeding mechanism, and optimizing the sowing quantity; And S63, dynamically adjusting the fertilization strategy based on the real-time data, and generating the adjusted repair data.
8. The method for differential repair of grassland vegetation under and between photovoltaic panels according to claim 7, wherein the outputting of the vegetation repair report in S7 comprises the steps of: s71, summarizing the environmental difference data, the repair scheme data, the repair implementation data, the repair effect data and the adjusted repair data; S72, generating a visual report, wherein the visual report comprises a graph showing vegetation restoration trend and environmental impact evaluation.
9. The method for differential repair of grassland vegetation under and between photovoltaic panels according to claim 1, further comprising the step of S8, creating a vegetation repair database, storing and updating all repair process data, supporting long term ecological analysis, wherein the step S8 comprises the steps of: S81, importing the acquired data into a cloud platform, and adopting an encryption algorithm to ensure the data security; s82, periodically backing up data, and setting authority management for access of researchers; S83, generating an annual repair effect comparison report based on the database.
10. The method for differential repair of grassland vegetation under and between photovoltaic panels according to claim 1, further comprising the step of S9, constructing an intelligent repair decision support system, optimizing the real-time decision of the vegetation repair process, wherein S9 comprises the steps of: S91, acquiring microenvironment data of an area under a photovoltaic panel and between the photovoltaic panels in real time by integrated internet of things monitoring equipment, wherein the microenvironment data comprise temperature gradient changes, humidity distribution modes and illumination intensity fluctuation; s92, establishing a vegetation growth prediction model based on historical repair data, and analyzing the adaptability rules of different vegetation types under the plate and between the plates through a machine learning algorithm; s93, balancing ecological benefit and economic benefit by utilizing a multi-objective optimization algorithm, and generating a dynamic adjustment suggestion of the repairing scheme; S94, establishing a decision support interactive interface, and visually displaying a comparison result of the repair scheme and simulation of an expected effect; S95, setting an early warning mechanism, and automatically triggering a repair scheme reevaluation flow when the monitored data deviate from an expected threshold value.

Description

Method for repairing grassland vegetation differentiation under photovoltaic panel and between panels Technical Field The invention relates to the technical field of photovoltaics, in particular to a method for repairing vegetation differentiation of grasslands under and between photovoltaic panels. Background Photovoltaic is a novel power generation form for directly converting solar radiation energy into electric energy by utilizing the photovoltaic effect of a solar cell semiconductor material. At present, due to the fact that illumination, moisture and temperature gradient differences exist between the inner plates of the photovoltaic electric field and the plates, when unified restoration of grassland vegetation is carried out, the adopted vegetation type selection and maintenance measures often lack pertinence, dynamic influences of the shading environment under the plates and the open environment between the plates on vegetation growth cannot be estimated and responded in real time, when the adopted restoration strategy is matched with the local microenvironment, low vegetation survival rate, community degradation and weakening of water and soil conservation functions can be caused, and ecological stability and landscape consistency of vegetation restoration cannot be guaranteed. Therefore, a method for repairing vegetation differentiation between the photovoltaic panel and the grass land between the photovoltaic panels is provided to solve the problems. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a method for repairing the vegetation differentiation of grasslands under and between photovoltaic panels, which solves the problem that the vegetation growth is dynamically influenced by the shading environment under and the open environment between the panels, which cannot be evaluated in real time and responded in the background art. In order to achieve the purpose, the invention provides the technical scheme that the method for repairing the grassland vegetation differentiation under the photovoltaic panel and between the photovoltaic panels comprises the following steps: s1, collecting grassland vegetation state data of a photovoltaic plate lower area and a plate-to-plate area, wherein the grassland vegetation state data comprise vegetation coverage, soil parameters and illumination intensity data; S2, performing under-board and inter-board environmental difference analysis processing based on the grassland vegetation state data to generate environmental difference data, wherein the environmental difference data comprises moisture distribution differences, illumination shielding differences and soil nutrient differences; S3, formulating a differential repair scheme according to the environmental difference data to generate repair scheme data, wherein the repair scheme data comprises a subplate area negative-resistance vegetation type selection scheme and an inter-plate area light-preference vegetation type selection scheme; s4, implementing vegetation restoration measures according to the restoration scheme data, and generating restoration implementation data, wherein the restoration implementation data comprise sowing quantity, irrigation frequency and fertilization strategies; s5, monitoring the vegetation state after repair according to the repair implementation data, and generating repair effect data, wherein the repair effect data comprises vegetation growth rate and coverage rate change; s6, adjusting a repair strategy based on the repair effect data to generate adjusted repair data, wherein the adjusted repair data comprises a dynamic optimized irrigation and reseeding scheme; And S7, integrating the adjusted repair data to output a vegetation repair report, and summarizing parameters and effects of the whole repair process. Preferably, the collecting the grassland vegetation state data of the photovoltaic underfloor area and the interplanting area in the step S1 includes the following steps: s11, carrying a multispectral camera on an unmanned aerial vehicle to collect vegetation coverage data of an area under a photovoltaic panel, and generating vegetation coverage data under the panel; s12, collecting soil humidity, pH value and nutrient content data of the inter-plate area through a ground sensor network, and generating inter-plate soil parameter data; And S13, measuring the illumination intensity distribution of the area under the photovoltaic panel and between the photovoltaic panels by using the illumination sensor to generate illumination intensity data. Preferably, the generating environmental difference data in S2 includes the steps of: s21, acquiring the under-board vegetation coverage data, inter-board soil parameter data and illumination intensity data; S22, analyzing the water distribution difference between the lower area of the plate and the area between the plates by adopting a numerical comparison algorithm to generate water difference