Photovoltaic greenhouse construction method, device, equipment and medium

Abstract

The invention provides a photovoltaic greenhouse construction method and device, equipment and a medium, and the method comprises the steps: generating a plurality of design schemes of a photovoltaic greenhouse based on the climate information of an area where the photovoltaic greenhouse is located and the use demands of the photovoltaic greenhouse; for each design scheme, determining photovoltaic power storage distribution proportions of different time periods in the photovoltaic greenhouse according to use requirements; simulating the operation of the photovoltaic greenhouse according to the photovoltaic power storage distribution proportion, and predicting to obtain the growth information of the target crop in the photovoltaic greenhouse and the energy consumption information required by the growth of the crop; determining an evaluation result corresponding to the design scheme according to the climate information, the component type and the installation mode indicated by the design scheme, the growth information and the energy consumption information; and determining a target design scheme from the plurality of design schemes according to the evaluation result, wherein the target design scheme is used for constructing the photovoltaic greenhouse. Thus, by comprehensively considering the regional climate and use requirements, the matching degree of the greenhouse effect and actual use is improved, and the synergistic effect of power generation and radiation transmission is improved.

Description

Technical Field

[0001] This application relates to the field of photovoltaic technology, and more specifically, to a method, apparatus, equipment, and medium for constructing a photovoltaic greenhouse. Background Technology

[0002] In the current intersection of agricultural facilities and renewable energy, agro-photovoltaic complementary systems are the core direction for integrating crop cultivation (such as vegetables and ornamental flowers) with photovoltaic power generation. The deep integration of photovoltaic technology and greenhouse construction is driving agriculture towards a low-carbon and high-efficiency transformation. Through photovoltaic modules, the light conditions required for crop growth can be met, and excess sunlight can be converted into electricity, realizing the circular utilization of "light energy-electricity-bioenergy" and providing modern agriculture with a sustainable development solution that is both economical and ecological.

[0003] However, although existing photovoltaic greenhouses can achieve spectral regulation, their design does not take into account actual usage needs and only adopts general design schemes, resulting in a low degree of matching between greenhouse effects and actual use, which affects crop growth. Summary of the Invention

[0004] In view of this, this application provides a method, apparatus, equipment and medium for constructing a photovoltaic greenhouse, which comprehensively considers regional climate and usage needs when designing a photovoltaic greenhouse, thereby improving the matching degree between the greenhouse effect and actual use.

[0005] Specifically, this application is implemented through the following technical solution: According to a first aspect of this application, a method for constructing a photovoltaic greenhouse is provided, the method comprising: Based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse, multiple design schemes for the photovoltaic greenhouse are generated. The usage requirements include the growth requirements of the target crop and the energy-saving requirements. For each of the aforementioned design schemes, the photovoltaic energy storage allocation ratio in the photovoltaic greenhouse at different times is determined according to the aforementioned usage requirements; Based on the photovoltaic energy storage allocation ratio, the operation of the photovoltaic greenhouse is simulated to predict the growth information of the target crop in the photovoltaic greenhouse and the energy consumption information required for crop growth. Based on the climate information, the component types and installation methods indicated by the design scheme, the growth information, and the energy consumption information, the evaluation result corresponding to the design scheme is determined; Based on the evaluation results, a target design scheme is determined from the plurality of design schemes, and the target design scheme is used to construct a photovoltaic greenhouse.

[0006] In one optional implementation, the generation of multiple design schemes for the photovoltaic greenhouse based on climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse includes: Based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse, a geometric model of the greenhouse is constructed. By simulating the environmental and energy consumption impact information of the greenhouse geometric model under different component layouts, multiple component layout schemes are determined. Based on the greenhouse geometric model and the multiple component layout schemes, multiple design schemes for the photovoltaic greenhouse are generated.

[0007] In one optional implementation, under each of the design schemes, the photovoltaic greenhouse includes at least photovoltaic modules and multiple spectral lamps, each of the spectral lamps including multiple radiation channels, the photovoltaic modules including photovoltaic panels and color-changing panels, the photovoltaic panels being used to convert solar energy into electrical energy, and the color-changing panels being controllable to change color, thereby generating different wavelengths of spectrum through color changes of the color-changing panels; The step of determining the photovoltaic energy storage allocation ratio in the photovoltaic greenhouse at different times according to the usage requirements includes: Based on the aforementioned usage requirements, the crop growth factor corresponding to the photovoltaic greenhouse is determined. The crop growth factor is used to indicate the degree of compatibility between the transmitted light of the photovoltaic greenhouse and crop growth. Based on the crop growth factors and the environmental impact information, energy consumption impact information, and photovoltaic module transmittance corresponding to the design scheme, the daytime spectral missing results are determined. Based on the daytime spectral loss results and the crop growth requirements, a nighttime supplemental lighting strategy for the multiple spectral lamps is determined. Based on the power consumption of the multiple spectral lamps and the power generation of the photovoltaic panels under the nighttime supplementary lighting strategy, the time period supplementation rate is determined; Based on the nighttime supplementary lighting strategy and the time-period supplementation rate, the photovoltaic energy storage allocation ratio for different time periods in the photovoltaic greenhouse is determined.

[0008] In one optional implementation, determining the crop growth factor corresponding to the photovoltaic greenhouse based on the usage requirements includes: Based on the usage requirements, crop specificity coefficient, growth stage correction coefficient, and pigment response coefficient are determined. The crop specificity coefficient is used to correct the difference between the crop and the average plant spectral response. The growth stage correction coefficient is used to match the wavelength with the crop growth stage. The pigment response coefficient is used to characterize the response intensity of the crop target pigment to the target wavelength spectrum. Based on the crop specificity coefficient, the growth stage correction coefficient, the pigment response coefficient, and the photovoltaic module transmittance and spectral irradiance corresponding to the design scheme, the crop growth factors corresponding to the photovoltaic greenhouse are determined.

[0009] In one optional implementation, determining the evaluation result corresponding to the design scheme based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information includes: Based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information, the radiation intensity on the surface of the photovoltaic module, the solar power conversion efficiency, the spectral radiation energy effective for crop growth within the target spectral band, and the energy-saving equivalent ratio of the photovoltaic greenhouse are determined. Based on the radiation intensity on the surface of the photovoltaic module, the solar power conversion efficiency, the spectral radiation energy effective for crop growth within the target spectral band, and the energy-saving equivalent ratio of the photovoltaic greenhouse, the effective solar radiation conversion coefficient for crops corresponding to the design scheme is determined. The evaluation result corresponding to the design scheme is determined based on the effective conversion coefficient of solar radiation to crops.

[0010] In one optional implementation, the spectral radiation energy effective for crop growth within the target spectral band is determined through the following steps: Based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information, determine the target transmittance of the photovoltaic greenhouse for monochromatic light of the target wavelength at the target time, and the target spectral radiative flux density of monochromatic light of the target wavelength incident on the photovoltaic greenhouse at the target time. Based on the target transmittance and the target spectral radiant flux density within the target spectral band, the spectral radiant energy effective for crop growth within the target spectral band is determined.

[0011] In one optional implementation, the energy-saving equivalent ratio of the photovoltaic greenhouse is determined through the following steps: Based on the climate information, the component types and installation methods indicated by the design scheme, the growth information, and the energy consumption information, determine the crop yield of the photovoltaic greenhouse, the total power generation of the photovoltaic modules during the crop growth period, the total energy consumption of the photovoltaic greenhouse during the crop growth period, and the total power generation of the photovoltaic power station matched with the photovoltaic greenhouse during the crop growth period. The crop equivalent ratio is determined based on the crop yield of the photovoltaic greenhouse and the crop yield of the preset greenhouse; Based on the total power generation of the photovoltaic modules during the crop growth period, the total lighting energy consumption of the photovoltaic greenhouse during the crop growth period, the total energy consumption of the photovoltaic greenhouse during the crop growth period, the total power generation of the photovoltaic power station matched with the photovoltaic greenhouse during the crop growth period, and the land occupation correction coefficient, the net energy saving benefit equivalent ratio is determined. The land occupation correction coefficient is used to correct the impact of the difference in land occupation caused by the arrangement of photovoltaic modules on the benefits of the photovoltaic greenhouse. The energy-saving equivalent ratio of the photovoltaic greenhouse is determined based on the crop equivalent ratio and the net energy-saving benefit equivalent ratio.

[0012] According to a second aspect of this application, a photovoltaic greenhouse construction device is provided, the device comprising: The scheme design module is used to generate multiple design schemes for the photovoltaic greenhouse based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse. The usage requirements include the growth requirements of the target crop and the energy-saving requirements. The energy storage distribution module is used to determine the photovoltaic energy storage distribution ratio in the photovoltaic greenhouse at different times according to the usage requirements for each of the design schemes. The growth prediction module is used to simulate the operation of the photovoltaic greenhouse according to the photovoltaic energy storage allocation ratio, and predict the growth information of the target crop in the photovoltaic greenhouse and the energy consumption information required for crop growth. The scheme evaluation module is used to determine the evaluation result corresponding to the design scheme based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information. The scheme selection module is used to determine the target design scheme from the multiple design schemes based on the evaluation results. The target design scheme is used to construct a photovoltaic greenhouse.

[0013] According to a third aspect of this application, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the photovoltaic greenhouse construction method described in the first aspect above.

[0014] According to a fourth aspect of this application, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the photovoltaic greenhouse construction method described in the first aspect above.

[0015] The photovoltaic greenhouse construction method, apparatus, equipment, and medium provided in this application generate multiple design schemes for the photovoltaic greenhouse based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse. The usage requirements include the growth requirements of the target crop and energy-saving requirements. Thus, by considering the climate information of the area where the photovoltaic greenhouse is located, the spectral characteristics of the components are ensured to match the actual conditions of the region; by considering the growth requirements of the target crop, differentiated spectral control for the target crop can be achieved; and by considering energy-saving requirements, a synergistic balance between effective transmitted radiation and power generation is achieved. For each design scheme, the photovoltaic energy storage allocation ratio in the photovoltaic greenhouse at different times is determined according to the usage requirements, which helps to ensure the target crop's energy needs are met. The system ensures the continuity of the spectral requirements of the crop; it simulates the operation of a photovoltaic greenhouse based on the photovoltaic energy storage allocation ratio, predicts the growth information of the target crop in the photovoltaic greenhouse and the energy consumption information required for crop growth; it determines the evaluation results corresponding to the design scheme based on climate information, the component type and installation method indicated by the design scheme, growth information, and energy consumption information; it determines the target design scheme from multiple design schemes based on the evaluation results, and the target design scheme is used to construct the photovoltaic greenhouse. In this way, through multi-scheme comparison and analysis, a target design scheme that takes into account energy-efficient utilization, adapts to crop growth, disease control, and radiation avoidance can be selected, thereby improving the rationality and economy of photovoltaic greenhouse design and promoting the efficient synergy of renewable energy and agricultural photovoltaic complementarity.

[0016] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and are not intended to limit the technical solutions of this disclosure.

[0017] To make the above-mentioned objects, features and advantages of this disclosure more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating an exemplary embodiment of a photovoltaic greenhouse construction method according to this application; Figure 2 This is a daytime schematic diagram of a photovoltaic greenhouse shown in an exemplary embodiment of this application; Figure 3 This is a nighttime schematic diagram of a photovoltaic greenhouse shown in an exemplary embodiment of this application; Figure 4 This is a schematic diagram illustrating the process of constructing a photovoltaic greenhouse according to an exemplary embodiment of this application; Figure 5 This is a schematic diagram of a photovoltaic greenhouse construction device shown in an exemplary embodiment of this application; Figure 6 This is a schematic diagram of the structure of a computer device shown in an exemplary embodiment of this application. Detailed Implementation

[0019] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0020] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The singular forms “a,” “the,” and “the” used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0021] It should be understood that although the terms first, second, third, etc., may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0022] Research has revealed that while existing photovoltaic (PV) greenhouses can achieve spectral control, their design often fails to consider actual usage needs, employing generic design schemes that result in a low degree of mismatch between greenhouse performance and practical application, negatively impacting crop growth. For example, design data is often detached from real-world scenarios, failing to incorporate regional climate information and relying solely on generic spectral parameters. This leads to a mismatch between component spectral characteristics and the actual regional spectral features, affecting both power generation and light transmission synergy, and hindering the reduction of excessive sunlight and disease incidence through precise spectral control, ultimately impacting crop growth. Furthermore, the lack of a clear correlation between component design and crop growth requirements, coupled with the absence of differentiated strategies for different crops, results in random component selection and a lack of targeted design. Moreover, the design phase often lacks a scheme selection process, failing to compare multiple PV greenhouse designs and identify the optimal solution, making it difficult to guarantee the rationality and economic viability of the design.

[0023] Based on the above research, this application provides a method, device, equipment and medium for constructing a photovoltaic greenhouse. When designing a photovoltaic greenhouse, the regional climate and usage needs are comprehensively considered to improve the matching degree between the greenhouse effect and actual use. Through multi-scheme comparison and analysis, a target design scheme that takes into account energy-efficient utilization, crop growth, disease control and radiation avoidance can be selected, thereby improving the rationality and economy of photovoltaic greenhouse design and promoting the efficient synergy of renewable energy and agricultural photovoltaic complementarity.

[0024] To facilitate understanding of this embodiment, a detailed description of the photovoltaic greenhouse construction method disclosed in this application embodiment is provided first. The execution entity of the photovoltaic greenhouse construction method provided in this application embodiment is generally an electronic device with a certain computing power. This electronic device can be a server, which can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud storage, big data, and artificial intelligence platforms. In some possible implementations, this photovoltaic greenhouse construction method can be implemented by a processor calling computer-readable instructions stored in memory.

[0025] The following description, in conjunction with the accompanying drawings, illustrates a method for constructing a photovoltaic greenhouse according to an embodiment of this application.

[0026] See Figure 1 The diagram shown is a flowchart illustrating a photovoltaic greenhouse construction method according to an exemplary embodiment of this application. Figure 1 As shown in the figure, the photovoltaic greenhouse construction method provided in this embodiment includes steps S101 to S105, wherein: S101: Based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse, generate multiple design schemes for the photovoltaic greenhouse. The usage requirements include the growth requirements of the target crop and the energy-saving requirements.

[0027] In this step, we can obtain climate information and usage requirements of the area where the photovoltaic greenhouse is to be built, and generate multiple design schemes for the photovoltaic greenhouse accordingly.

[0028] The climate information includes spectrum, solar radiation intensity, humidity, temperature, wind speed, wind direction, solar altitude angle, and solar irradiation period. The spectrum includes real-time hourly spectra or historically collected typical standard spectral data. The hourly spectra can be collected according to a preset data collection interval and a preset time span. The specific values ​​of the preset data collection interval and preset time span can be determined according to actual collection needs and are not limited here. For example, the preset data collection interval is 30 seconds to 1 hour, and the preset time span can be an annual / quarterly period.

[0029] In this way, by combining the climate information of the area where the photovoltaic greenhouse is located, compared with relying solely on general spectral parameters, the design scheme obtained by the embodiments of this disclosure can make the spectral characteristics of the components match the actual spectral characteristics of the area, improve the synergistic effect of power generation and light transmission, and reduce excessive sun exposure and lower the incidence of diseases through spectral regulation.

[0030] The target crop growth requirements include target crop quality requirements or target crop quantity requirements. These growth requirements indicate the spectral bands needed for target crop growth; it is understood that different spectra have different reflectance and transmittance. The target crops include vegetables or flowers, etc. The target crop quality requirements include, but are not limited to, the spectral bands corresponding to requirements for growth rate, nutrient accumulation, and crop height, respectively. The target crop quantity requirements include, but are not limited to, the spectral bands corresponding to requirements for plant type development and color, respectively. For example, the spectral band corresponding to the growth rate requirement is the yellow-red band (550-660 nm), the spectral band corresponding to the nutrient accumulation requirement is the red band (620-680 nm), and the spectral band corresponding to the color requirement is the green-yellow band (500-580 nm).

[0031] In this way, a multi-band spectral utilization method can be used according to the growth needs of the target crop. This method can accurately match the growth of crops with quality requirements as well as those with quantity requirements. It can also adapt to the needs of crops such as resistance to excessive sun exposure and disease reduction, forming differentiated regulation. By optimizing the crop growth microenvironment through the spectral characteristics of the components, it can provide support for the selection of photovoltaic modules.

[0032] In some possible implementations, the generation of multiple design schemes for the photovoltaic greenhouse based on climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse includes: Based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse, a geometric model of the greenhouse is constructed. By simulating the environmental and energy consumption impact information of the greenhouse geometric model under different component layouts, multiple component layout schemes are determined. Based on the greenhouse geometric model and the multiple component layout schemes, multiple design schemes for the photovoltaic greenhouse are generated.

[0033] In the above steps, a greenhouse geometric model can be constructed based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse. The greenhouse geometric model includes the length, height, span, orientation, shape, tilt angle, etc. of the photovoltaic greenhouse.

[0034] Optionally, the solar radiation path can be determined based on the climate information of the area where the photovoltaic greenhouse is located; the maximum light-receiving area required for the photovoltaic greenhouse can be determined based on the solar radiation path; and the length value can be determined based on the maximum light-receiving area required for the photovoltaic greenhouse and the usage requirements to ensure uniform light coverage.

[0035] Optionally, ventilation and lighting at different heights can be simulated, and the height value can be determined by combining the climate information of the area where the photovoltaic greenhouse is located, so as to balance the needs of lighting and ventilation.

[0036] Optionally, the load-bearing capacity of the supporting structure of the photovoltaic greenhouse can be determined based on the aforementioned usage requirements. Based on the load-bearing capacity and the climate information of the area where the photovoltaic greenhouse is located, the span value can be determined to ensure structural stability and uniform light intensity.

[0037] Optionally, the solar azimuth angle can be determined based on the climate information of the area where the photovoltaic greenhouse is located; based on the solar azimuth angle, the orientation of the greenhouse can be determined to ensure maximum sunlight reception throughout the year.

[0038] Optionally, the final shape can be determined by simulating the lighting and ventilation effects of different shapes (such as single-slope, multi-slope, triangular, or a combination of the above shapes), based on the simulation results, the climate information, and the usage requirements of the photovoltaic greenhouse, thereby improving the uniformity of lighting and space utilization.

[0039] Optionally, the cumulative surface solar radiation can be determined based on the climate information of the area where the photovoltaic greenhouse is located, and the tilt angle value can be determined based on the cumulative surface solar radiation to ensure sufficient spectral supply.

[0040] Having constructed a greenhouse geometric model, multiple component layout schemes are determined by simulating the environmental and energy consumption impacts of the greenhouse geometric model under different component arrangements. The environmental impact information characterizes the influence of photovoltaic modules on the crop growth environment, including but not limited to temperature, humidity, wind speed, wind direction, transmitted solar spectrum, solar altitude angle, effective duration of sunlight's continuous effect on crops, and crop growth factors. The energy consumption impact information characterizes the impact of photovoltaic modules on the power consumption of energy-consuming equipment, including but not limited to artificial lighting equipment such as spectral lamps, as well as heating, cooling, and ventilation equipment such as air conditioners and fans. For example, the wind-resistant installation angle of the components can be adjusted based on wind speed and direction, and the tilt angle of the components can be adjusted based on the solar altitude angle.

[0041] Based on the greenhouse geometric model and the multiple component layout schemes, multiple design schemes for the photovoltaic greenhouse are generated, each design scheme being generated based on the greenhouse geometric model and one of the component layout schemes.

[0042] The design scheme may include component type and installation method, such as component color (e.g., red, blue, etc.), light coverage, solar energy conversion efficiency, tilt angle, transmittance and emissivity spectrum, etc.

[0043] In this way, by establishing the correlation between the greenhouse geometric model and the component layout, the matching degree between the spatial structure of the photovoltaic greenhouse and the installation of components is improved, and the uniformity of spectral supply in local areas is optimized. This effectively ensures the consistency of crop growth in different areas, reduces quality fluctuations caused by differences in light, not only improves energy utilization efficiency, but also meets the differentiated needs of crop growth by dynamically adjusting the component layout. This promotes the economic viability and rationality of photovoltaic greenhouses in the coordinated development of renewable energy and agriculture, and provides reliable support for high-yield and high-quality crops.

[0044] S102: For each of the design schemes, determine the photovoltaic energy storage allocation ratio in the photovoltaic greenhouse at different times according to the usage requirements.

[0045] In this step, for each design scheme, the photovoltaic energy storage allocation ratio in the photovoltaic greenhouse at different times can be determined according to the usage requirements. This can achieve a performance balance of photovoltaic modules, synergistic effect between photovoltaic module transmittance and power generation efficiency, avoid imbalances such as prioritizing power generation over transmittance or vice versa, reduce local spectral unevenness and the risk of overexposure, ensure stable crop growth and quality improvement, reduce crop disease incidence, and both meet the core requirements of agricultural photovoltaic complementarity and take into account the spectral regulation effect on crops.

[0046] In some possible implementations, under each of the aforementioned design schemes, the photovoltaic greenhouse includes at least photovoltaic modules and multiple spectral lamps, each of the spectral lamps including multiple radiation channels. The photovoltaic modules include photovoltaic panels and color-changing panels. The photovoltaic panels are used to convert solar energy into electrical energy, and the color-changing panels are controllable to change color, thereby generating different wavelengths of spectrum through color changes of the color-changing panels.

[0047] Optionally, each of the aforementioned spectral lamps includes seven independent radiation channels, specifically six visible light radiation channels (corresponding to red, orange, yellow, green, cyan, and blue bands) and one invisible light (near-infrared band) radiation channel. By adjusting the proportions of the six visible light radiation channels, various spectral combinations required by the target crop can be matched, while the near-infrared band can assist in stress resistance. In this way, the comprehensive needs of crops for multiple types of spectra during growth can be met, improving the comprehensiveness of spectral regulation.

[0048] The step of determining the photovoltaic energy storage allocation ratio in the photovoltaic greenhouse at different times according to the usage requirements includes: Based on the aforementioned usage requirements, the crop growth factor corresponding to the photovoltaic greenhouse is determined. The crop growth factor is used to indicate the degree of compatibility between the transmitted light of the photovoltaic greenhouse and crop growth. Based on the crop growth factors and the environmental impact information, energy consumption impact information, and photovoltaic module transmittance corresponding to the design scheme, the daytime spectral missing results are determined. Based on the daytime spectral loss results and the crop growth requirements, a nighttime supplemental lighting strategy for the multiple spectral lamps is determined. Based on the power consumption of the multiple spectral lamps and the power generation of the photovoltaic panels under the nighttime supplementary lighting strategy, the time period supplementation rate is determined; Based on the nighttime supplementary lighting strategy and the time-period supplementation rate, the photovoltaic energy storage allocation ratio for different time periods in the photovoltaic greenhouse is determined.

[0049] In the above steps, the crop growth factors corresponding to the photovoltaic greenhouse can be determined according to the usage requirements. Combining the crop growth factors with the environmental impact information, energy consumption impact information, and photovoltaic module transmittance information corresponding to the design scheme, the daytime radiation transmission effect of the photovoltaic modules is simulated. Based on the daytime radiation transmission effect of the photovoltaic modules, the daytime spectral loss results are determined. The daytime spectral loss results include the spectral loss period, the spectral loss band, and the spectral loss ratio. For example, the daytime spectral loss results include a 25% loss in the red band (620-680nm) from 9:00 to 11:00, a 25% loss in the blue band (400-480nm) from 14:00 to 16:00, and the need for additional near-infrared band supplementation due to low temperatures from 18:00 to 20:00.

[0050] Based on the daytime spectral deficit results and the crop growth requirements, a nighttime supplemental lighting strategy for the multiple spectral lamps is determined. For example, during periods of high temperature and humidity, it is necessary to increase near-infrared band supplementation to enhance crop resistance; when the proportion of red light projected onto the crop surface is insufficient, the output ratio of the red channel is prioritized to be increased. The nighttime supplemental lighting strategy includes supplemental lighting period, supplemental lighting band, and supplemental lighting ratio. Continuing with the above example, the red band channel of each spectral lamp is turned on for 2 hours, and the output ratio of the red band channel is increased to 50%; the blue band channel of each spectral lamp is turned on for 2 hours, and the output ratio of the blue band channel is increased to 50%; the near-infrared band channel of each spectral lamp is turned on for 2 hours, and the output ratio of the near-infrared band channel is increased to 50%.

[0051] Based on the power consumption of the multiple spectral lamps and the power generation of the photovoltaic panel under the nighttime supplementary lighting strategy, the time-period supplementation rate is determined. Specifically, the ratio of the power consumption of the multiple spectral lamps to the power generation of the photovoltaic panel under the nighttime supplementary lighting strategy is used as the time-period supplementation rate to ensure efficient energy utilization.

[0052] Based on the nighttime supplementary lighting strategy and the time-period supplementation rate, the photovoltaic energy storage allocation ratio for different time periods in the photovoltaic greenhouse is determined. This allocation ratio includes the output ratio, frequency, and duration of each radiation channel of the spectral lighting fixtures at different times. Compared to other energy-consuming devices, the electrical energy converted by the photovoltaic modules is preferentially supplied to the spectral lighting fixtures, thus forming a pattern of utilizing the natural spectrum during the day and targeted supplementation at night, ensuring a sufficient spectral supply.

[0053] For example, see also Figure 2 and Figure 3 , Figure 2 This is a daytime schematic diagram of a photovoltaic greenhouse, illustrating an exemplary embodiment of this application. Figure 3 This is a nighttime schematic diagram of a photovoltaic greenhouse, illustrating an exemplary embodiment of this application. Photovoltaic modules 21 and 22 are installed in the photovoltaic greenhouse 1, and a photovoltaic energy storage module 3 is also installed outside the photovoltaic greenhouse 1. Yellow arrows represent solar radiation, and purple arrows represent specific chromatic light. During the day, the spectrum formed by natural light assists crop growth. At night, the photovoltaic stored energy is preferentially used by spectral lamps 41, 42, 43, and 44 to specifically replenish the wavelengths missing after radiation transmission from photovoltaic modules 21 and 22 during the day, while also extending the supply to the near-infrared band. This achieves targeted supplementation of missing spectra, ensuring the continuity of crop spectral requirements and meeting the growth needs of the target crop.

[0054] In this way, a spectrum adapted to crop growth can be generated by a color-changing panel to assist crop growth during the day, and electricity can be generated through photovoltaic panels. At night, the spectrum missing during the day can be supplemented by spectral lights, forming a progressive comprehensive utilization of solar energy, including direct utilization, energy storage, and time-sharing supplemental lighting. This significantly improves energy efficiency, while ensuring the consistency of crop growth in different areas, reducing quality differences, and achieving efficient synergy between renewable energy and agricultural needs in photovoltaic greenhouses.

[0055] In some possible implementations, determining the crop growth factors corresponding to the photovoltaic greenhouse based on the usage requirements includes: Based on the usage requirements, crop specificity coefficient, growth stage correction coefficient, and pigment response coefficient are determined. The crop specificity coefficient is used to correct the difference between the crop and the average plant spectral response. The growth stage correction coefficient is used to match the wavelength with the crop growth stage. The pigment response coefficient is used to characterize the response intensity of the crop target pigment to the target wavelength spectrum. Based on the crop specificity coefficient, the growth stage correction coefficient, the pigment response coefficient, and the photovoltaic module transmittance and spectral irradiance corresponding to the design scheme, the crop growth factors corresponding to the photovoltaic greenhouse are determined.

[0056] Specifically, the crop growth factor can be determined by the following formula (1): in, Indicates crop growth factors; This indicates the transmitted light in a photovoltaic greenhouse at a wavelength of The transmittance at a wavelength in the range of 300-1000 nm; Indicates the standard solar spectrum at wavelength Irradiance at a location, in units of ; The characteristic spectrum of the target crop is obtained by weighting the absorption spectra of the core pigments of the target crop (chlorophyll a, chlorophyll b, carotenoids, etc.); This represents the crop specificity coefficient, with an exemplary value of 0.8-1.2. This represents the growth stage correction factor, with exemplary values ​​ranging from 0.7 to 1.3. This represents the pigment response coefficient, with an exemplary value of 0.6-1.4.

[0057] In this way, by introducing crop-specific coefficients, growth stage correction coefficients, and pigment response coefficients in the process of determining crop growth factors, the limitations of traditional average action spectrum can be overcome, and the transmission spectrum of photovoltaic greenhouses can be accurately matched with target crops. Multi-dimensional coefficient corrections are added on the basis of solar spectral irradiance and transmittance to adapt to the pigment response characteristics of different crops and the spectral requirements of the whole growth cycle, thus balancing photovoltaic power generation efficiency and crop growth adaptability.

[0058] S103: Based on the photovoltaic energy storage allocation ratio, simulate the operation of the photovoltaic greenhouse, and predict the growth information of the target crop in the photovoltaic greenhouse and the energy consumption information required for crop growth.

[0059] In this step, a simulated greenhouse operation model can be established based on the photovoltaic energy storage allocation ratio to simulate the dynamic processes of photovoltaic module power generation, energy storage system charging and discharging, and spectral lighting supplementation. This allows for the prediction of changes in environmental parameters such as light, temperature, and humidity inside the photovoltaic greenhouse. Furthermore, by combining the growth requirements of the target crop, the impact of environmental parameters on photosynthesis and biomass accumulation can be analyzed, and the growth information of the target crop in the photovoltaic greenhouse can be derived. Finally, based on the photovoltaic power generation and the available electrical energy under the photovoltaic energy storage allocation ratio, the energy consumption requirements for nighttime supplementation lighting and environmental control using spectral lighting can be evaluated, thus obtaining the energy consumption information required for crop growth.

[0060] The growth information includes, for example, vegetable dry / wet weight yield, ornamental flower qualification rate, flower color saturation, and crop vitamin content.

[0061] S104: Determine the evaluation result corresponding to the design scheme based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information.

[0062] In this step, the design scheme can be evaluated based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information to obtain the evaluation result corresponding to the design scheme.

[0063] In some possible implementations, determining the evaluation result corresponding to the design scheme based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information includes: Based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information, the radiation intensity on the surface of the photovoltaic module, the solar power conversion efficiency, the spectral radiation energy effective for crop growth within the target spectral band, and the energy-saving equivalent ratio of the photovoltaic greenhouse are determined. Based on the radiation intensity on the surface of the photovoltaic module, the solar power conversion efficiency, the spectral radiation energy effective for crop growth within the target spectral band, and the energy-saving equivalent ratio of the photovoltaic greenhouse, the effective solar radiation conversion coefficient for crops corresponding to the design scheme is determined. The evaluation result corresponding to the design scheme is determined based on the effective conversion coefficient of solar radiation to crops.

[0064] In the above steps, the radiation intensity on the surface of the photovoltaic module, the solar power conversion efficiency, the spectral radiation energy effective for crop growth in the target spectral band, and the energy-saving equivalent ratio of the photovoltaic greenhouse can be simulated and calculated based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information.

[0065] Optionally, the radiation intensity on the surface of the photovoltaic module can be determined by the following steps: The solar altitude angle, atmospheric transparency, and ground reflectivity are determined based on the climate information, and the tilt angle of the photovoltaic modules is determined based on the module type and installation method indicated by the design scheme. Based on the solar altitude angle and the photovoltaic module tilt angle, the intensity of direct radiation on the horizontal plane is converted into the intensity of direct radiation on the tilted plane; Based on the solar elevation angle and atmospheric transparency, the scattered radiation intensity on the horizontal surface is converted into the scattered radiation intensity on the inclined surface; Based on the ground reflectivity and the tilt angle of the photovoltaic module, the intensity of ground reflected radiation reflected from the ground to the surface of the photovoltaic module is determined; The radiation intensity on the surface of the photovoltaic module is determined based on the direct radiation intensity, the diffuse radiation intensity, and the ground reflected radiation intensity.

[0066] For example, the sum of the direct radiation intensity, the diffuse radiation intensity, and the ground reflected radiation intensity can be determined as the radiation intensity on the surface of the photovoltaic module, ensuring that the radiation intensity calculation matches the actual installation of the photovoltaic module.

[0067] Optionally, the solar power conversion efficiency can be determined by the following steps: Based on the climate information and the component type and installation method indicated by the design scheme, the output power and area of ​​the photovoltaic module, as well as the light intensity and temperature, are determined. The solar power conversion efficiency is determined based on the output power and area of ​​the photovoltaic module, as well as the light intensity and temperature.

[0068] In some possible implementations, the spectral radiation energy effective for crop growth within the target spectral band is determined through the following steps: Based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information, determine the target transmittance of the photovoltaic greenhouse for monochromatic light of the target wavelength at the target time, and the target spectral radiative flux density of monochromatic light of the target wavelength incident on the photovoltaic greenhouse at the target time. Based on the target transmittance and the target spectral radiant flux density within the target spectral band, the spectral radiant energy effective for crop growth within the target spectral band is determined.

[0069] Traditional methods use overall transmittance as an indicator of crop growth effectiveness. However, this approach has significant limitations and cannot accurately reflect the actual impact of greenhouse covering materials on crop growth. The core reason is that key physiological processes in crops, such as photosynthesis and morphogenesis, only respond to radiation energy in specific bands of the solar spectrum, rather than utilizing radiation evenly across the entire spectrum. Therefore, overall transmittance alone cannot distinguish the differences in transmission across different bands of radiation, making it difficult to accurately quantify the effective supply of radiation energy for crop growth.

[0070] This disclosure embodiment achieves accurate assessment of the impact on photovoltaic greenhouse crops by integrating the radiant energy of a specific effective band in the solar spectrum. Specifically, it includes two methods: spectral distribution integration at a specific moment and cumulative integration over a typical period.

[0071] First, the target spectral band, i.e. the effective spectral band for crop growth, is defined as follows: , where λ is the wavelength of monochromatic light, in nm; The lower limit wavelength of the effective band of photosynthetic radiation of a specific element, in nm; This refers to the upper limit of the effective wavelength range of photosynthetic radiation for a specific element, expressed in nm. This effective spectral band... The sensitive spectral ranges corresponding to specific elements required for crop growth (such as photosynthetic pigment synthesis and photosynthesis) can be determined based on the physiological characteristics of the target crop and the growth elements of interest, and are not limited here.

[0072] Specifically, based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information, the target transmittance of the photovoltaic greenhouse for monochromatic light of the target wavelength and the target spectral radiant flux density of monochromatic light of the target wavelength incident on the photovoltaic greenhouse at the target time are determined; the target transmittance and the target spectral radiant flux density within the target spectral band are integrated to determine the spectral radiant energy effective for crop growth within the target spectral band.

[0073] Integrating the spectral distribution at a specific time, the effective spectral radiation energy E(t) reaching the crop canopy after transmission through the photovoltaic greenhouse covering material at that specific time t is obtained by analyzing the effective spectral band. The spectral radiative flux density within is obtained by integrating, and is specifically expressed by the following formula (2): (2) in, This represents the spectral radiation energy reaching the crop canopy at a specific time t, expressed in W / m². This indicates the wavelength of monochromatic light, measured in nm. Indicates the lower limit wavelength of the target spectral band, in nm; Indicates the upper limit wavelength of the target spectral band, in nm; This represents the target transmittance at a specific time t, with a value ranging from 0 to 1. This represents the target spectral radiative flux density at a specific time t, expressed in W / (m²·nm).

[0074] For the spectral distribution integral within a typical time period, a typical growth period is selected. (e.g., during a critical growth stage of a crop), the cumulative energy of effective spectral radiation reaching the crop canopy during that period. By integrating the effective spectral radiant energy E(t) at a specific moment during a typical period The result is obtained by time integration, specifically expressed by the following formula (3): (3) in, Indicates typical time period The spectral radiation energy reaching the crop canopy, expressed in J / m². Indicates the start time of a typical period; Indicates the end time of a typical period; This represents the spectral radiation energy reaching the crop canopy at a specific time t, expressed in W / m². This indicates the wavelength of monochromatic light, measured in nm. Indicates the lower limit wavelength of the target spectral band, in nm; Indicates the upper limit wavelength of the target spectral band, in nm; This represents the target transmittance at a specific time t, with a value ranging from 0 to 1. This represents the target spectral radiative flux density at a specific time t, expressed in W / (m²·nm).

[0075] Using the above methods, the supply capacity of photovoltaic greenhouses to crop growth with effective spectral radiation energy can be accurately quantified at different time dimensions. E(t) can be used to analyze the transmission effect of photovoltaic greenhouse covering materials to the effective spectrum at a specific time (such as noon when there is strong light or early morning when there is weak light). It can be used to assess the cumulative effective radiation energy supply during the entire critical growth period of crops. The combination of the two can comprehensively and accurately assess the impact of photovoltaic greenhouses on crop growth, providing core quantitative basis for the selection and design of greenhouse covering materials and the optimization of crop cultivation programs.

[0076] In some possible implementations, the energy-saving equivalent ratio of the photovoltaic greenhouse is determined through the following steps: Based on the climate information, the component types and installation methods indicated by the design scheme, the growth information, and the energy consumption information, determine the crop yield of the photovoltaic greenhouse, the total power generation of the photovoltaic modules during the crop growth period, the total energy consumption of the photovoltaic greenhouse during the crop growth period, and the total power generation of the photovoltaic power station matched with the photovoltaic greenhouse during the crop growth period. The crop equivalent ratio is determined based on the crop yield of the photovoltaic greenhouse and the crop yield of the preset greenhouse; Based on the total power generation of the photovoltaic modules during the crop growth period, the total lighting energy consumption of the photovoltaic greenhouse during the crop growth period, the total energy consumption of the photovoltaic greenhouse during the crop growth period, the total power generation of the photovoltaic power station matched with the photovoltaic greenhouse during the crop growth period, and the land occupation correction coefficient, the net energy saving benefit equivalent ratio is determined. The land occupation correction coefficient is used to correct the impact of the difference in land occupation caused by the arrangement of photovoltaic modules on the benefits of the photovoltaic greenhouse. The energy-saving equivalent ratio of the photovoltaic greenhouse is determined based on the crop equivalent ratio and the net energy-saving benefit equivalent ratio.

[0077] The total energy consumption of the photovoltaic greenhouse during the crop growth period includes the total heating energy consumption and the total cooling energy consumption during the crop growth period. The photovoltaic power station matched with the photovoltaic greenhouse is a separate photovoltaic power station with the same installed capacity and installation environment as the photovoltaic system in the photovoltaic greenhouse.

[0078] Here, the traditional method uses land equivalent ratio as an evaluation indicator to measure land resource utilization efficiency. Specifically, the traditional land equivalent ratio is calculated by multiplying the first ratio between the actual production capacity ratio and the benchmark production capacity ratio, and the second ratio between the actual crop output value ratio and the benchmark crop output value ratio. A land equivalent ratio greater than 1 is considered feasible. This method has significant limitations when used for evaluating photovoltaic greenhouses. Photovoltaic production capacity only represents the energy output of the photovoltaic system and cannot be directly equated with the energy-saving benefits of the greenhouse. It lacks the assessment of the impact of solar thermal energy consumption and the corresponding energy consumption calculation, leading to the evaluation results of the energy benefits of photovoltaic greenhouses deviating from the actual application scenario. The accuracy of the evaluation is particularly poor for high-energy-consuming greenhouses (such as intelligent temperature-controlled greenhouses and facility seedling greenhouses). For example, if a photovoltaic greenhouse has a high photovoltaic production capacity, but the energy consumption of air conditioning and temperature control far exceeds the production capacity, then the greenhouse is actually in a "high-energy-consuming" state. In this case, the method will misjudge its advantages due to the high photovoltaic production capacity, which does not match the actual needs.

[0079] The embodiments disclosed herein introduce the net energy efficiency equivalent ratio, which supplements the key dimension of greenhouse energy consumption. Compared with traditional methods, it reduces the problem of insufficient adaptability to greenhouse scenarios, and the evaluation results are more accurate and practical, providing precise quantitative basis for the design optimization, technology selection and engineering implementation of photovoltaic greenhouses.

[0080] Specifically, the energy-saving equivalent ratio of the photovoltaic greenhouse is determined by the following formulas (4)-(6): To accurately assess the energy efficiency of a photovoltaic greenhouse, the actual offsetting effect of photovoltaic capacity on greenhouse energy consumption is first quantified, i.e., the net energy saving benefit is calculated. The net energy saving benefit is defined as the surplus after deducting the total energy consumption of the greenhouse from the photovoltaic capacity, as shown in the following formula (4): (4) in, Indicates net energy saving benefit; This indicates the total power generation of the photovoltaic module during the crop's growing season; This indicates the total energy consumption for artificial lighting in a photovoltaic greenhouse during the crop growth period; This indicates the total energy consumption for heating in a photovoltaic greenhouse during the crop growing season; This indicates the total cooling energy consumption of the photovoltaic greenhouse during the crop growing season; This represents the energy consumption of a photovoltaic greenhouse during the crop growth period, which is the sum of the total energy consumption for artificial lighting, heating, and cooling during the crop growth period. = .

[0081] when When ≥0, it indicates that the photovoltaic capacity can fully cover or even exceed the total energy consumption of the greenhouse, and the greenhouse achieves net energy saving; when When the value is less than 0, it indicates that the photovoltaic capacity is insufficient to cover the greenhouse energy consumption, and there is still an additional energy consumption gap in the greenhouse. In this case, the feasibility of the model needs to be comprehensively judged in conjunction with the crop yield advantage. Compared with the traditional method, this parameter reduces the problem of emphasizing capacity while neglecting energy consumption, and accurately matches the actual energy flow of the greenhouse.

[0082] (5) in, Indicates the net energy saving benefit equivalent ratio; Indicates net energy saving benefit; This represents the land occupation correction factor; This indicates the total power generation of the photovoltaic power station matched with the photovoltaic greenhouse during the crop's growing season.

[0083] (6) in, Indicates the energy-saving equivalent ratio of photovoltaic greenhouses; Indicates crop yield in a photovoltaic greenhouse; This indicates the crop yield of the pre-set greenhouse. Indicates crop equivalent ratio; It represents the net energy saving benefit equivalent ratio.

[0084] In this way, by supplementing the core dimensions of greenhouse energy consumption through the above methods, the assessment adaptability defects are resolved. Artificial lighting energy consumption, heating energy consumption, and cooling energy consumption are incorporated into the photovoltaic greenhouse assessment, making the assessment results suitable for greenhouse scenarios with active energy consumption systems and improving the accuracy of the assessment of high-energy-consuming smart greenhouses. At the same time, the authenticity of energy efficiency assessment is strengthened, which is in line with actual application needs. By replacing the traditional photovoltaic capacity with net energy-saving benefits, the actual energy-saving contribution of the photovoltaic system to the greenhouse is accurately reflected, avoiding the misjudgment that high photovoltaic capacity equals energy saving. This allows the assessment results to truly guide the design and operation of photovoltaic greenhouses.

[0085] This disclosure, through comprehensive analysis of climate information, component type and installation method, growth information, and energy consumption information, calculates key indicators such as the radiation intensity on the surface of photovoltaic modules, solar power conversion efficiency, spectral radiation energy effective for crop growth, and energy-saving equivalent ratio. It then derives the effective solar radiation conversion coefficient for crops, using this as an evaluation basis. This enables a multi-dimensional quantitative assessment of photovoltaic greenhouse design schemes, helping to accurately identify the optimal scheme, significantly improve energy utilization efficiency and crop growth adaptability, and simultaneously enhance the economic efficiency and environmental sustainability of photovoltaic agricultural systems.

[0086] S105: Based on the evaluation results, a target design scheme is determined from the plurality of design schemes, and the target design scheme is used to construct a photovoltaic greenhouse.

[0087] In this step, the evaluation results include the effective solar radiation conversion coefficient of crops corresponding to the design scheme. The design scheme with the highest effective solar radiation conversion coefficient can be determined as the target design scheme, thereby determining the final selection of components, the installation layout of the photovoltaic greenhouse, and the control strategy of photovoltaic components and energy consumption equipment.

[0088] For a clearer illustration of the photovoltaic greenhouse construction process, see [link to relevant documentation]. Figure 4 This is a schematic diagram illustrating the process of constructing a photovoltaic greenhouse, as shown in an exemplary embodiment of this application. Figure 4 As shown, the process begins with component selection to generate multiple design schemes for a photovoltaic greenhouse. Then, spectral control is performed to determine the photovoltaic energy storage allocation ratio at different times within the greenhouse. Based on this ratio, the greenhouse's operation is simulated to predict the growth information of the target crop and its energy consumption. Based on the climate information, the component types and installation methods indicated in the design schemes, the growth information, and the energy consumption information, an evaluation result is determined for each design scheme. Finally, a comparative optimization is performed, and a target design scheme is selected from the multiple schemes based on the evaluation results. This target design scheme is used to construct the photovoltaic greenhouse. Specific steps are described in the preceding embodiments and will not be repeated here.

[0089] The photovoltaic greenhouse construction method provided in this application generates multiple design schemes for the photovoltaic greenhouse based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse. The usage requirements include the growth requirements of the target crop and energy-saving requirements. By considering the climate information of the area where the photovoltaic greenhouse is located, the spectral characteristics of the components are ensured to match the actual conditions of the region; by considering the growth requirements of the target crop, differentiated spectral control for the target crop can be achieved; and by considering energy-saving requirements, a synergistic balance between effective transmitted radiation and power generation is achieved. For each design scheme, the photovoltaic energy storage allocation ratio in the photovoltaic greenhouse at different times is determined according to the usage requirements, which helps to ensure the spectral requirements of the target crop are met. The system seeks to ensure continuity; based on the photovoltaic energy storage allocation ratio, it simulates the operation of a photovoltaic greenhouse to predict the growth information of the target crop in the photovoltaic greenhouse and the energy consumption information required for crop growth; based on climate information, the component types and installation methods indicated by the design scheme, growth information, and energy consumption information, it determines the evaluation results corresponding to the design scheme; based on the evaluation results, it determines the target design scheme from multiple design schemes, and the target design scheme is used to construct the photovoltaic greenhouse. In this way, through multi-scheme comparison and analysis, it is possible to screen out the target design scheme that takes into account energy-efficient utilization, adapts to crop growth, disease control, and radiation avoidance, thereby improving the rationality and economy of photovoltaic greenhouse design and promoting the efficient synergy of renewable energy and agricultural photovoltaic complementarity.

[0090] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which each step is written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0091] Corresponding to the aforementioned embodiments of the photovoltaic greenhouse construction method, this application also provides embodiments of a photovoltaic greenhouse construction device.

[0092] Please see Figure 5 This is a schematic diagram illustrating a photovoltaic greenhouse construction device according to an exemplary embodiment of this application. Figure 5 As shown in the figure, the photovoltaic greenhouse construction device 500 provided in this application embodiment includes: The scheme design module 501 is used to generate multiple design schemes for the photovoltaic greenhouse based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse. The usage requirements include the growth requirements of the target crop and the energy-saving requirements. The energy storage distribution module 502 is used to determine the photovoltaic energy storage distribution ratio in the photovoltaic greenhouse at different times according to the usage requirements for each of the design schemes. The growth prediction module 503 is used to simulate the operation of the photovoltaic greenhouse according to the photovoltaic energy storage allocation ratio, and predict the growth information of the target crop in the photovoltaic greenhouse and the energy consumption information required for crop growth. The scheme evaluation module 504 is used to determine the evaluation result corresponding to the design scheme based on the climate information, the component type and installation method indicated by the design scheme, the growth information and the energy consumption information; The scheme screening module 505 is used to determine the target design scheme from the multiple design schemes based on the evaluation results. The target design scheme is used to construct a photovoltaic greenhouse.

[0093] In one optional implementation, the scheme design module 501 is specifically used for: Based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse, a geometric model of the greenhouse is constructed. By simulating the environmental and energy consumption impact information of the greenhouse geometric model under different component layouts, multiple component layout schemes are determined. Based on the greenhouse geometric model and the multiple component layout schemes, multiple design schemes for the photovoltaic greenhouse are generated.

[0094] In one optional implementation, under each of the design schemes, the photovoltaic greenhouse includes at least photovoltaic modules and multiple spectral lamps, each of the spectral lamps including multiple radiation channels, the photovoltaic modules including photovoltaic panels and color-changing panels, the photovoltaic panels being used to convert solar energy into electrical energy, and the color-changing panels being controllable to change color, thereby generating different wavelengths of spectrum through color changes of the color-changing panels; When the energy storage distribution module 502 is used to determine the photovoltaic energy storage distribution ratio in the photovoltaic greenhouse at different times according to the usage requirements, it is specifically used for: Based on the aforementioned usage requirements, the crop growth factor corresponding to the photovoltaic greenhouse is determined. The crop growth factor is used to indicate the degree of compatibility between the transmitted light of the photovoltaic greenhouse and crop growth. Based on the crop growth factors and the environmental impact information, energy consumption impact information, and photovoltaic module transmittance corresponding to the design scheme, the daytime spectral missing results are determined. Based on the daytime spectral loss results and the crop growth requirements, a nighttime supplemental lighting strategy for the multiple spectral lamps is determined. Based on the power consumption of the multiple spectral lamps and the power generation of the photovoltaic panels under the nighttime supplementary lighting strategy, the time period supplementation rate is determined; Based on the nighttime supplementary lighting strategy and the time-period supplementation rate, the photovoltaic energy storage allocation ratio for different time periods in the photovoltaic greenhouse is determined.

[0095] In one optional implementation, when the energy storage distribution module 502 determines the crop growth factor corresponding to the photovoltaic greenhouse based on the usage requirements, it is specifically used for: Based on the usage requirements, crop specificity coefficient, growth stage correction coefficient, and pigment response coefficient are determined. The crop specificity coefficient is used to correct the difference between the crop and the average plant spectral response. The growth stage correction coefficient is used to match the wavelength with the crop growth stage. The pigment response coefficient is used to characterize the response intensity of the crop target pigment to the target wavelength spectrum. Based on the crop specificity coefficient, the growth stage correction coefficient, the pigment response coefficient, and the photovoltaic module transmittance and spectral irradiance corresponding to the design scheme, the crop growth factors corresponding to the photovoltaic greenhouse are determined.

[0096] In one optional implementation, the scheme evaluation module 504 is specifically used for: Based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information, the radiation intensity on the surface of the photovoltaic module, the solar power conversion efficiency, the spectral radiation energy effective for crop growth within the target spectral band, and the energy-saving equivalent ratio of the photovoltaic greenhouse are determined. Based on the radiation intensity on the surface of the photovoltaic module, the solar power conversion efficiency, the spectral radiation energy effective for crop growth within the target spectral band, and the energy-saving equivalent ratio of the photovoltaic greenhouse, the effective solar radiation conversion coefficient for crops corresponding to the design scheme is determined. The evaluation result corresponding to the design scheme is determined based on the effective conversion coefficient of solar radiation to crops.

[0097] In one optional implementation, the scheme evaluation module 504 is used to determine the spectral radiation energy effective for crop growth within the target spectral band through the following steps: Based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information, determine the target transmittance of the photovoltaic greenhouse for monochromatic light of the target wavelength at the target time, and the target spectral radiative flux density of monochromatic light of the target wavelength incident on the photovoltaic greenhouse at the target time. Based on the target transmittance and the target spectral radiant flux density within the target spectral band, the spectral radiant energy effective for crop growth within the target spectral band is determined.

[0098] In one optional implementation, the scheme evaluation module 504 is used to determine the photovoltaic greenhouse energy-saving equivalent ratio through the following steps: Based on the climate information, the component types and installation methods indicated by the design scheme, the growth information, and the energy consumption information, determine the crop yield of the photovoltaic greenhouse, the total power generation of the photovoltaic modules during the crop growth period, the total energy consumption of the photovoltaic greenhouse during the crop growth period, and the total power generation of the photovoltaic power station matched with the photovoltaic greenhouse during the crop growth period. The crop equivalent ratio is determined based on the crop yield of the photovoltaic greenhouse and the crop yield of the preset greenhouse; Based on the total power generation of the photovoltaic modules during the crop growth period, the total lighting energy consumption of the photovoltaic greenhouse during the crop growth period, the total energy consumption of the photovoltaic greenhouse during the crop growth period, the total power generation of the photovoltaic power station matched with the photovoltaic greenhouse during the crop growth period, and the land occupation correction coefficient, the net energy saving benefit equivalent ratio is determined. The land occupation correction coefficient is used to correct the impact of the difference in land occupation caused by the arrangement of photovoltaic modules on the benefits of the photovoltaic greenhouse. The energy-saving equivalent ratio of the photovoltaic greenhouse is determined based on the crop equivalent ratio and the net energy-saving benefit equivalent ratio.

[0099] The specific implementation process of the functions and roles of each module in the above device can be found in the implementation process of the corresponding steps in the above method, and will not be repeated here.

[0100] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0101] Based on the same technical concept, this application also provides a computer device 600, referring to... Figure 6 The diagram shown is a schematic representation of the structure of a computer device according to an exemplary embodiment of this application, comprising: The processor 610, memory 620, and bus 630 are included. The memory 620 is used to store execution instructions and includes main memory 621 and external memory 622. The main memory 621, also known as internal memory, is used to temporarily store the operation data in the processor 610 and the data exchanged with external memory 622 such as hard disk. The processor 610 exchanges data with external memory 622 through main memory 621.

[0102] In this embodiment, the memory 620 is specifically used to store application code that executes the solution of this application, and its execution is controlled by the processor 610. That is, when the electronic device 600 is running, the processor 610 communicates with the memory 620 through the bus 630, or the processor 610 communicates with the memory 620 through other means, so that the processor 610 executes the application code stored in the memory 620, and then executes the steps of the photovoltaic greenhouse construction method described in any of the foregoing embodiments.

[0103] The memory 620 may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0104] Processor 610 may be an integrated circuit chip with signal processing capabilities. The aforementioned processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor.

[0105] It is understood that the structures illustrated in the embodiments of this application do not constitute a specific limitation on the electronic device 600. In other embodiments of this application, the electronic device 600 may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0106] This disclosure also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the photovoltaic greenhouse construction method described in the above-described method embodiments. The storage medium can be a volatile or non-volatile computer-readable storage medium.

[0107] This disclosure also provides a computer program product, which stores a computer program. When the computer program is run by a processor, it executes the steps of the photovoltaic greenhouse construction method provided in any of the above embodiments of this disclosure. For details, please refer to the above method embodiments, which will not be repeated here.

[0108] The aforementioned computer program product can be implemented through hardware, software, or a combination thereof. In one optional embodiment, the computer program product is specifically embodied in a computer storage medium, which can be a volatile or non-volatile computer-readable storage medium. In another optional embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0109] Furthermore, embodiments of the subject matter and functional operation described in this specification can be implemented in the following ways: digital electronic circuits, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or combinations thereof. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible, non-transitory program carrier for execution by a data processing apparatus or for controlling the operation of a data processing apparatus. Alternatively or additionally, program instructions may be encoded on artificially generated propagation signals, such as machine-generated electrical, optical, or electromagnetic signals, which are generated to encode information and transmit it to a suitable receiving device for execution by the data processing apparatus. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or combinations thereof.

[0110] The processing and logic flow described in this specification can be executed by one or more programmable computers that execute one or more computer programs to perform corresponding functions by operating on input data and generating output. The processing and logic flow can also be executed by dedicated logic circuitry—such as FPGAs (Field-Programmable Gate Arrays) or ASICs (Application-Specific Integrated Circuits), and the device can also be implemented as dedicated logic circuitry.

[0111] Suitable computers for executing computer programs include, for example, general-purpose and / or special-purpose microprocessors, or any other type of central processing unit. Typically, the central processing unit receives instructions and data from read-only memory and / or random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Typically, a computer will also include one or more mass storage devices for storing data, such as disks, magneto-optical disks, or optical disks, or the computer will be operatively coupled to such mass storage devices to receive data from or transfer data to them, or both. However, a computer is not required to have such devices. Furthermore, a computer can be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, to name a few.

[0112] Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media, and memory devices, such as semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., internal hard disks or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. Processors and memory may be supplemented by or incorporated into dedicated logic circuitry.

[0113] While this specification contains numerous specific implementation details, these should not be construed as limiting the scope of any invention or the scope of the claims, but rather are primarily intended to describe features of specific embodiments of a particular invention. Certain features described in the various embodiments herein may also be implemented in combination in a single embodiment. Conversely, various features described in a single embodiment may also be implemented separately in various embodiments or in any suitable sub-combination. Furthermore, while features may function in certain combinations as described above and even initially claimed in this way, one or more features from a claimed combination may be removed from that combination in some cases, and a claimed combination may refer to a sub-combination or a variation thereof.

[0114] Similarly, although the operations are depicted in a specific order in the accompanying drawings, this should not be construed as requiring these operations to be performed in the specific order shown or sequentially, or requiring all illustrated operations to be performed to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. Furthermore, the separation of various system modules and components in the above embodiments should not be construed as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.

[0115] Thus, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims may be performed in a different order and still achieve the desired result. Furthermore, the processes depicted in the drawings are not necessarily shown in a specific order or sequence to achieve the desired result. In some implementations, multitasking and parallel processing may be advantageous.

[0116] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for constructing a photovoltaic greenhouse, characterized in that, The method includes: Based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse, multiple design schemes for the photovoltaic greenhouse are generated. The usage requirements include the growth requirements of the target crop and the energy-saving requirements. For each of the aforementioned design schemes, the photovoltaic energy storage allocation ratio in the photovoltaic greenhouse at different times is determined according to the aforementioned usage requirements; Based on the photovoltaic energy storage allocation ratio, the operation of the photovoltaic greenhouse is simulated to predict the growth information of the target crop in the photovoltaic greenhouse and the energy consumption information required for crop growth. Based on the climate information, the component types and installation methods indicated by the design scheme, the growth information, and the energy consumption information, the evaluation result corresponding to the design scheme is determined; Based on the evaluation results, a target design scheme is determined from the plurality of design schemes, and the target design scheme is used to construct a photovoltaic greenhouse.

2. The method according to claim 1, characterized in that, Based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse, multiple design schemes for the photovoltaic greenhouse are generated, including: Based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse, a geometric model of the greenhouse is constructed. By simulating the environmental and energy consumption impact information of the greenhouse geometric model under different component layouts, multiple component layout schemes are determined. Based on the greenhouse geometric model and the multiple component layout schemes, multiple design schemes for the photovoltaic greenhouse are generated.

3. The method according to claim 1, characterized in that, In each of the aforementioned design schemes, the photovoltaic greenhouse includes at least photovoltaic modules and multiple spectral lamps. Each spectral lamp includes multiple radiation channels. The photovoltaic module includes a photovoltaic panel and a color-changing panel. The photovoltaic panel is used to convert solar energy into electrical energy. The color-changing panel is controlled to change color, and different wavelengths of spectrum can be generated by changing the color of the color-changing panel. The step of determining the photovoltaic energy storage allocation ratio in the photovoltaic greenhouse at different times according to the usage requirements includes: Based on the aforementioned usage requirements, the crop growth factor corresponding to the photovoltaic greenhouse is determined. The crop growth factor is used to indicate the degree of compatibility between the transmitted light of the photovoltaic greenhouse and crop growth. Based on the crop growth factors and the environmental impact information, energy consumption impact information, and photovoltaic module transmittance corresponding to the design scheme, the daytime spectral missing results are determined. Based on the daytime spectral loss results and the crop growth requirements, a nighttime supplemental lighting strategy for the multiple spectral lamps is determined. Based on the power consumption of the multiple spectral lamps and the power generation of the photovoltaic panels under the nighttime supplementary lighting strategy, the time period supplementation rate is determined; Based on the nighttime supplementary lighting strategy and the time-period supplementation rate, the photovoltaic energy storage allocation ratio for different time periods in the photovoltaic greenhouse is determined.

4. The method according to claim 3, characterized in that, The step of determining the crop growth factors corresponding to the photovoltaic greenhouse based on the usage requirements includes: Based on the usage requirements, crop specificity coefficient, growth stage correction coefficient, and pigment response coefficient are determined. The crop specificity coefficient is used to correct the difference between the crop and the average plant spectral response. The growth stage correction coefficient is used to match the wavelength with the crop growth stage. The pigment response coefficient is used to characterize the response intensity of the crop target pigment to the target wavelength spectrum. Based on the crop specificity coefficient, the growth stage correction coefficient, the pigment response coefficient, and the photovoltaic module transmittance and spectral irradiance corresponding to the design scheme, the crop growth factors corresponding to the photovoltaic greenhouse are determined.

5. The method according to claim 1, characterized in that, The step of determining the evaluation result corresponding to the design scheme based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information includes: Based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information, the radiation intensity on the surface of the photovoltaic module, the solar power conversion efficiency, the spectral radiation energy effective for crop growth within the target spectral band, and the energy-saving equivalent ratio of the photovoltaic greenhouse are determined. Based on the radiation intensity on the surface of the photovoltaic module, the solar power conversion efficiency, the spectral radiation energy effective for crop growth within the target spectral band, and the energy-saving equivalent ratio of the photovoltaic greenhouse, the effective solar radiation conversion coefficient for crops corresponding to the design scheme is determined. The evaluation result corresponding to the design scheme is determined based on the effective conversion coefficient of solar radiation to crops.

6. The method according to claim 5, characterized in that, The effective spectral radiation energy for crop growth within the target spectral band is determined through the following steps: Based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information, determine the target transmittance of the photovoltaic greenhouse for monochromatic light of the target wavelength at the target time, and the target spectral radiative flux density of monochromatic light of the target wavelength incident on the photovoltaic greenhouse at the target time. Based on the target transmittance and the target spectral radiant flux density within the target spectral band, the spectral radiant energy effective for crop growth within the target spectral band is determined.

7. The method according to claim 6, characterized in that, The energy-saving equivalent ratio of the photovoltaic greenhouse is determined by the following steps: Based on the climate information, the component types and installation methods indicated by the design scheme, the growth information, and the energy consumption information, determine the crop yield of the photovoltaic greenhouse, the total power generation of the photovoltaic modules during the crop growth period, the total energy consumption of the photovoltaic greenhouse during the crop growth period, and the total power generation of the photovoltaic power station matched with the photovoltaic greenhouse during the crop growth period. The crop equivalent ratio is determined based on the crop yield of the photovoltaic greenhouse and the crop yield of the preset greenhouse; Based on the total power generation of the photovoltaic modules during the crop growth period, the total lighting energy consumption of the photovoltaic greenhouse during the crop growth period, the total energy consumption of the photovoltaic greenhouse during the crop growth period, the total power generation of the photovoltaic power station matched with the photovoltaic greenhouse during the crop growth period, and the land occupation correction coefficient, the net energy saving benefit equivalent ratio is determined. The land occupation correction coefficient is used to correct the impact of the difference in land occupation caused by the arrangement of photovoltaic modules on the benefits of the photovoltaic greenhouse. The energy-saving equivalent ratio of the photovoltaic greenhouse is determined based on the crop equivalent ratio and the net energy-saving benefit equivalent ratio.

8. A photovoltaic greenhouse construction device, characterized in that, The device includes: The scheme design module is used to generate multiple design schemes for the photovoltaic greenhouse based on the climate information of the area where the photovoltaic greenhouse is located and the usage requirements of the photovoltaic greenhouse. The usage requirements include the growth requirements of the target crop and the energy-saving requirements. The energy storage distribution module is used to determine the photovoltaic energy storage distribution ratio in the photovoltaic greenhouse at different times according to the usage requirements for each of the design schemes. The growth prediction module is used to simulate the operation of the photovoltaic greenhouse according to the photovoltaic energy storage allocation ratio, and predict the growth information of the target crop in the photovoltaic greenhouse and the energy consumption information required for crop growth. The scheme evaluation module is used to determine the evaluation result corresponding to the design scheme based on the climate information, the component type and installation method indicated by the design scheme, the growth information, and the energy consumption information. The scheme selection module is used to determine the target design scheme from the multiple design schemes based on the evaluation results. The target design scheme is used to construct a photovoltaic greenhouse.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the photovoltaic greenhouse construction method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the photovoltaic greenhouse construction method according to any one of claims 1 to 7.

Images