CN115067097A - Plant cultivation artificial light supplementing method, system and equipment - Google Patents

Plant cultivation artificial light supplementing method, system and equipment Download PDF

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CN115067097A
CN115067097A CN202210883087.6A CN202210883087A CN115067097A CN 115067097 A CN115067097 A CN 115067097A CN 202210883087 A CN202210883087 A CN 202210883087A CN 115067097 A CN115067097 A CN 115067097A
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light supplement
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侯枕岍
陆大愚
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Jiangsu Hengyi Biotechnology Co ltd
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Jiangsu Hengyi Biotechnology Co ltd
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G7/00—Botany in general
    • A01G7/04—Electric or magnetic or acoustic treatment of plants for promoting growth
    • A01G7/045—Electric or magnetic or acoustic treatment of plants for promoting growth with electric lighting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P60/00—Technologies relating to agriculture, livestock or agroalimentary industries
    • Y02P60/14—Measures for saving energy, e.g. in green houses

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  • Cultivation Of Plants (AREA)

Abstract

The embodiment of the specification provides an artificial light supplementing method and system for plant cultivation, and belongs to the technical field of plant growth monitoring.

Description

Plant cultivation artificial light supplementing method, system and equipment
Technical Field
The specification relates to the technical field of plant growth monitoring, in particular to a method, a system and equipment for artificial light supplement in plant cultivation.
Background
The illumination has a close relationship with the growth of the crops. The method captures the light energy to the maximum extent, fully exerts the potential of plant photosynthesis and is directly related to the benefit of agricultural production. Plant light filling means that a plant light filling lamp is used for performing extra illumination on plants. When the illumination intensity is lower than the compensation point of the plants, the consumption of organic substances is more than the accumulation, the dry quality of the plants is reduced, and even the plants die. Even if other conditions are sufficient, the growth of the plants under the condition of weak light can show weakening and excessive growth.
Most of light supplement methods in the prior art cannot perform distinctive light supplement regulation, the equipment operation cost is high, advance prevention and advance light supplement cannot be achieved, and the problems that energy waste and insufficient light supplement caused by excessive light supplement influence plant growth are easily caused.
Therefore, it is desirable to provide an artificial supplementary lighting method for plant cultivation, which is used to avoid excessive supplementary lighting and insufficient supplementary lighting.
Disclosure of Invention
In order to overcome the defects of the existing plant growth technology, one embodiment of the present specification provides an artificial light supplement method for plant cultivation. The method comprises the steps of obtaining the growth state information of plants under different environmental states, wherein the environmental states comprise a temperature state, a humidity state and CO 2 A concentration state, wherein the growth state information comprises infrared reflection intensity information of the plant; constructing a first model based on the growth state information of the plant under different environmental states; based on the first model, adjusting the illumination states under different environmental states to obtain a second model; acquiring a real-time environment state and a real-time illumination state of the plant, and determining an expected illumination state and an expected growth state of the plant according to the real-time environment state and the second model; and determining a supplementary lighting action type based on the real-time lighting state and the expected lighting state.
In some embodiments, the determining a fill-in light action type based on the real-time lighting state and the desired lighting state includes: judging whether the real-time illumination state is larger than the expected illumination state or not; if the real-time illumination state is larger than or equal to the expected illumination state, determining the light supplement action type as a return cycle action, wherein the return cycle action comprises the steps of obtaining the illumination state of the next time point and determining the light supplement action type of the next time point based on the illumination state of the next time point; and if the real-time illumination state is smaller than the expected illumination state, determining that the type of the light supplement action is a light supplement execution action.
In some embodiments, the determining that the type of the supplementary lighting action is a supplementary lighting performing action includes: determining supplementary lighting information based on the supplementary lighting execution action, the real-time lighting state and the expected lighting state; performing light supplement operation according to the light supplement information; and acquiring the environment state of the preset interval time point after the light supplement, and determining the light supplement operation adjusting action according to the environment state of the preset interval time point and the expected growth state.
In some embodiments, the determining the supplementary lighting operation adjusting action includes: judging whether the growth state of the preset interval time point is the expected growth state or not; if the growth state of the preset interval time point is the expected growth state, keeping the light supplementing operation for a preset illumination time, stopping the light supplementing operation, and determining the light supplementing action type of the next time point based on the growth state of the next time point and the expected growth state of the next time point; and if the growth state of the preset interval time point is not the expected growth state, determining the light supplement information of the next time point according to the growth state of the next time point and the expected growth state of the next time point, and performing light supplement operation of the next time point according to the light supplement information of the next time point.
In some embodiments, the determining a fill-in light action type based on the real-time lighting state and the desired lighting state includes: the real-time illumination state comprises real-time illumination brightness information and real-time light component information; the desired lighting state includes desired lighting intensity information and desired light composition information.
In some embodiments, said adjusting the illumination state under different environmental conditions based on the first model to obtain a second model includes: and performing linear fitting by taking the illumination state as an independent variable and the growth state information as a dependent variable to establish a two-dimensional second model.
In some embodiments, the first model is a first data model or a first machine learning model; the second model is a second data model or a second machine learning model.
One of the embodiments of the present specification provides an artificial light supplement system for plant cultivation, including: the data acquisition module is used for acquiring growth state information of plants in different environmental states, wherein the environmental states comprise a temperature state, a humidity state and CO 2 Concentration status, said growth status information comprising said plantInfrared reflection intensity information of (1); the system is also used for acquiring the real-time environment state and the real-time illumination state of the plant; the model building module is used for building a first model based on the growth state information of the plants in different environmental states; the system is also used for adjusting the illumination states under different environmental states based on the first model to obtain a second model; the light supplementing action determining module is used for determining an expected illumination state and an expected growth state of the plant according to the real-time environment state and the second model; and the controller is further used for determining a supplementary lighting action type based on the real-time lighting state and the expected lighting state.
In some embodiments, the system further includes a light supplement light source module for performing light supplement operation; the light supplementing light source module comprises an LED array, wherein the LED array at least comprises a blue LED unit, a green LED unit, an infrared LED unit, an ultraviolet LED unit and a red LED unit, and the red LED unit is arranged around the circumference of the green LED unit.
One embodiment of the present specification provides a plant cultivation artificial light supplement device, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor executes the computer program to implement the plant cultivation artificial light supplement method.
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The present description will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:
fig. 1 is a schematic view of an application scenario of a plant cultivation artificial light supplement system according to some embodiments of the present disclosure;
FIG. 2 is a schematic flow chart of a method for supplementing light for plant cultivation according to some embodiments of the present disclosure;
FIG. 3 is a block diagram of an artificial light supplement system for plant cultivation according to some embodiments of the present disclosure;
fig. 4 is a schematic structural diagram of a fill-in light source module according to some embodiments of the present disclosure;
fig. 5 is a second schematic structural diagram of a fill-in light source module according to some embodiments of the present disclosure;
fig. 6 is a third schematic structural diagram of a fill-in light source module according to some embodiments of the present disclosure;
fig. 7 is a fourth schematic structural diagram of a fill-in light source module according to some embodiments of the present disclosure;
in the figure, 100, a plant cultivation artificial light supplement system; 110. a processing device; 120. a network; 130. a terminal device; 140. a storage device; 150. a sensor; 210. a blue LED unit; 220. a green LED unit; 230. an infrared LED unit; 240. an ultraviolet LED unit; 250. a red LED unit; 310. a data acquisition module; 320. a model building module; 330. a light supplement action determining module; 340. and a light supplementing light source module.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, the present description can also be applied to other similar scenarios on the basis of these drawings without inventive effort. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
It should be understood that "system," "device," "unit," and/or "module" as used herein is a method for distinguishing between different components, elements, parts, portions, or assemblies of different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Flow charts are used in this description to illustrate operations performed by a system according to embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to or removed from these processes.
Fig. 1 is a schematic view of an application scenario of a plant cultivation artificial light supplement system 100 according to some embodiments of the present disclosure.
As shown in fig. 1, the plant cultivation artificial light supplement system 100 may include a processing device 110, a network 120, a sensor 150, a storage device 140, and a terminal device 130.
In some embodiments, a plant cultivation artificial light supplement system 100 may provide assistance for plant light supplement. For example, the device can be used for selecting different numbers of plant light supplement lamps to perform distinctive light supplement; the solar illumination change can be simulated, the ambient illumination intensity can be monitored in real time, and early prevention and early light supplement can be realized; gradient light supplement can be adopted, and the problems that energy waste and insufficient light supplement influence plant growth and the like caused by excessive light supplement are avoided. It should be noted that the plant cultivation artificial light supplement system 100 may also be applied to other devices, scenes, and applications that need plant light supplement, and any device, scene, and/or application that may use the plant cultivation artificial light supplement method included in the present application is within the scope of the present application.
The processing device 110 may be used to process information and/or data related to plant cultivation. For example, the processing device 110 may be configured to receive growth status information of plants under different environmental conditions, wherein the environmental conditions include a temperature condition, a humidity condition and CO 2 Concentration state, growth state information including infrared reflection intensity information of the plant; constructing a first model based on the growth state information of the plants in different environmental states; based on the first model, adjusting the illumination state under different environmental states to obtain a second modelA model; receiving the real-time environment state and the real-time illumination state of the plant, and determining the expected illumination state and the expected growth state of the plant according to the real-time environment state and the second model; and determining the type of the supplementary lighting action based on the real-time lighting state and the expected lighting state.
The processing device 110 may be regional or remote. For example, processing device 110 may access information and/or material stored in terminal device 130 and storage device 140 via network 120. Processing device 110 may be directly coupled to terminal device 130 and storage device 140 to access information and/or material stored therein. The processing device 110 may execute on a cloud platform. For example, the cloud platform may include one or any combination of a private cloud, a public cloud, a hybrid cloud, a community cloud, a decentralized cloud, an internal cloud, and the like.
The processing device 110 may comprise a processor. The processor may process data and/or information related to plant cultivation artificial light to perform one or more of the functions described herein. For example, the processor may receive growth status information of the plant under different environmental conditions. For another example, the processor may construct the first model based on growth state information of the plant under different environmental states. For another example, the processor may receive a real-time environmental state and a real-time lighting state of the plant and determine an expected lighting state and an expected growth state of the plant based on the real-time environmental state and the second model. For another example, the processor may adjust the illumination state in different environmental states based on the first model to obtain the second model. For another example, the processor may determine the fill-in action type based on the real-time lighting state and the desired lighting state. A processor may include one or more sub-processors (e.g., a single core processing device or a multi-core processing device). Merely by way of example, a processor may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Processor (ASIP), a Graphics Processor (GPU), a Physical Processor (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a programmable logic circuit (PLD), a controller, a microcontroller unit, a Reduced Instruction Set Computer (RISC), a microprocessor, and the like or any combination thereof.
The network 120 may facilitate the exchange of data and/or information in a phytosanitary artificial lighting system 100. One or more components of a plant cultivation artificial lighting system 100 (e.g., processing device 110, sensor 150, storage device 140, and terminal device 130) may send data and/or information to other components of a plant cultivation artificial lighting system 100 via network 120. The network 120 may be any type of wired or wireless network. For example, network 120 may include a cable network, a wireline network, a fiber optic network, a telecommunications network, an intranet, an internet network, a Local Area Network (LAN), a Wide Area Network (WAN), a wireless area network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth network, a ZigBee network, a Near Field Communication (NFC) network, the like, or any combination thereof. Network 120 may include one or more network access points. For example, the network 120 may include wired or wireless network access points, such as base stations and/or internet switching points, through which one or more components of a phytoculture artificial lighting system 100 may connect to the network 120 to exchange data and/or information.
The sensor 150 may be configured to acquire growth state information of the plant in different environmental states and a real-time environmental state and a real-time illumination state of the plant, and transmit the growth state information of the plant in different environmental states and the real-time environmental state and the real-time illumination state of the plant to the processing device 110, and the processing device 110 may acquire infrared reflection intensity information from the growth state information. The environmental conditions acquired by the sensor 150 may include temperature conditions, humidity conditions, and CO 2 A concentration state; the growth state information acquired by the sensor 150 may include infrared ray reflection intensity information; the real-time lighting status obtained by the sensor 150 may include lighting brightness information and light composition information. The sensor 150 may be a light sensor for detecting light emitted from the LED array, and an environmental sensor for detecting environmental conditions, e.g., CO 2 Concentration detection sensor, humidity sensor and temperature sensor.
Storage device 140 may be coupled to network 120 to enable communication with one or more components (e.g., processing device 110, terminal device 130, etc.) of a plant cultivation artificial lighting system 100. One or more components of a plant growing artificial lighting system 100 may access data or instructions stored in storage device 140 via network 120. Storage device 140 may be directly connected to or in communication with one or more components (e.g., processing device 110, terminal device 130) of a plant cultivation artificial lighting system 100. The storage device 140 may be part of the processing device 110. The processing device 110 may also be located in the terminal device 130.
The terminal device 130 may obtain information or data in the plant cultivation artificial light supplement system 100. A user (e.g., a fill-in maintainer or a laboratory worker) may obtain the fill-in action type through the terminal device 130. The terminal device 130 may include one or any combination of a mobile device, a tablet computer, a notebook computer, and the like. The mobile device may include a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, and the like, or any combination thereof. The wearable device may include smart bracelets, smart footwear, smart glasses, smart helmets, smart watches, smart clothing, smart backpack, smart accessories, smart handles, or the like, or any combination thereof. The smart mobile device may include a smart phone, a Personal Digital Assistant (PDA), a gaming device, a navigation device, a POS device, and the like, or any combination thereof. The metaverse device and/or augmented reality device may include a metaverse helmet, metaverse glasses, metaverse eyewear, augmented reality helmets, augmented reality glasses, augmented reality eyewear, and the like, or any combination thereof.
It should be noted that the foregoing description is provided for illustrative purposes only, and is not intended to limit the scope of the present application. Many variations and modifications will occur to those skilled in the art in light of the teachings herein. The features, structures, methods, and other features of the exemplary embodiments described herein may be combined in various ways to obtain additional and/or alternative exemplary embodiments. For example, the storage device 140 may be a data storage device comprising a cloud computing platform, such as a public cloud, a private cloud, a community cloud, a hybrid cloud, and the like. However, such changes and modifications do not depart from the scope of the present application.
Fig. 3 is a block diagram of a plant cultivation artificial light supplement system 100 according to some embodiments of the present disclosure.
As shown in fig. 3, the plant cultivation artificial light supplement system 100 may include a data acquisition module 310, a model construction module 320, a light supplement action determination module 330, and a light supplement light source module 340. The data acquisition module 310, the model construction module 320, the fill light action determination module 330, and the fill light source module 340 may be implemented on the processing device 110.
The data acquisition module 310 may be used to acquire growth status information of plants under different environmental conditions, where the environmental conditions include temperature condition, humidity condition and CO 2 Concentration state, growth state information including infrared reflection intensity information of the plant; and the system is also used for acquiring the real-time environment state and the real-time illumination state of the plant.
The model construction module 320 may be configured to construct a first model based on growth state information of plants under different environmental states; and the method is also used for adjusting the illumination states under different environmental states based on the first model to obtain a second model.
The light supplement action determining module 330 may be configured to determine an expected illumination state and an expected growth state of the plant according to the real-time environment state and the second model; and the controller is also used for determining the type of the supplementary lighting action based on the real-time lighting state and the expected lighting state.
The processing device 110 may process information or data in an application scenario.
The light source module 340 may be used for performing a light supplement operation.
Fig. 4 is a schematic structural diagram of a fill-in light source module 340 according to some embodiments of the present disclosure; fig. 5 is a second schematic structural diagram of the fill-in light source module 340 according to some embodiments of the present disclosure; fig. 6 is a third schematic structural diagram of the fill-in light source module 340 according to some embodiments of the present disclosure; fig. 7 is a fourth schematic structural diagram of the fill-in light source module 340 according to some embodiments of the present disclosure.
As shown in fig. 4, the supplementary lighting source module 340 includes an LED array, and the LED array at least includes a blue LED unit 210, a green LED unit 220, an infrared LED unit 230, an ultraviolet LED unit 240, and a red LED unit 250, wherein the red LED unit 250 is disposed around the green LED unit 220. In the present embodiment, the ratio of the blue LED unit 210, the green LED unit 220, the infrared LED unit 230, the ultraviolet LED unit 240, and the red LED unit 250 is 1: 2: 1: 1: 8. the arrangement principle is that green is in the middle, and the rest colors surround the green and supplement the rest four reds at the outermost side. The light source module 340 has better illumination simulation diversity, and is more beneficial to simulating natural light, thereby improving the light supplement effect.
As shown in fig. 5 and fig. 6, the fill light source module 340 supplies power VCC and GND and CH + and CH1 of the signal, respectively. The two modules can be linked automatically, and can be arranged in a rectangular mode (shown in figure 5) or in a circular mode or in other shapes (shown in figure 6).
As shown in fig. 7, the fill-in light source module 340 is composed of an LED module, and four contact bars are disposed on the side surface of the LED module.
In some embodiments, the processing device 110 may be regional or remote. For example, processing device 110 may access information and/or material stored in terminal device 130 and storage device 140 via network 120. In some embodiments, processing device 110 may interface directly with terminal device 130 and storage device 140 to access information and/or material stored therein. In some embodiments, the processing device 110 may execute on a cloud platform. For example, the cloud platform may include one or any combination of a private cloud, a public cloud, a hybrid cloud, a community cloud, a decentralized cloud, an internal cloud, and the like. In some embodiments, the processing device 110 may comprise a processor, which may comprise one or more sub-processors (e.g., a single core processing device or a multi-core processing device). Merely by way of example, a processor may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Processor (ASIP), a Graphics Processor (GPU), a Physical Processor (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a programmable logic circuit (PLD), a controller, a microcontroller unit, a Reduced Instruction Set Computer (RISC), a microprocessor, and the like or any combination thereof.
The network 120 may facilitate the exchange of data and/or information in an application scenario. In some embodiments, one or more components in the application scenario (e.g., processing device 110, terminal device 130, storage device 140, and plant growing artificial lighting method) may send data and/or information to other components in the application scenario via network 120. In some embodiments, the network 120 may be any type of wired or wireless network. For example, network 120 may include a cable network, a wired network, a fiber optic network, a telecommunications network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth network, a ZigBee network, a Near Field Communication (NFC) network, the like, or any combination thereof.
The terminal device 130 may obtain information or data in the application scene, and the user (e.g., a user of the plant cultivation artificial lighting system 100) may be a user of the terminal device 130. For example, the terminal device 130 may send control instructions to the processing device 110 via the network 120, and in some embodiments, the terminal device 130 may include one or any combination of a mobile device, a tablet computer, a notebook computer, and the like. In some embodiments, the mobile device may include a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, and the like, or any combination thereof.
In some embodiments, storage device 140 may be connected to network 120 to enable communication with one or more components of an application scenario (e.g., processing device 110, terminal device 130, etc.). One or more components of the application scenario may access the material or instructions stored in storage device 140 through network 120. In some embodiments, storage device 140 may be directly connected or in communication with one or more components (e.g., processing device 110, terminal device 130) in an application scenario. In some embodiments, the storage device 140 may be part of the processing device 110.
The plant culture artificial light supplement method is used for supplementing light for plant growth. The plant cultivation artificial lighting method may exchange data and/or information with one or more components (e.g., the processing device 110, the terminal device 130, and the storage device 140) in an application scenario. For a more detailed description of the plant cultivation artificial light supplement method, reference may be made to fig. 2 and its related description.
It should be understood that the system and its modules shown in FIG. 1 may be implemented in a variety of ways. It should be noted that the above description of the application scenario is for convenience of description only and is not intended to limit the present specification to the scope of the illustrated embodiments.
Fig. 2 is a schematic flow chart of a method for supplementing light for plant cultivation according to some embodiments of the present disclosure.
As shown in fig. 2, the plant cultivation artificial light supplement method may include the following steps. The plant cultivation artificial light supplement method may be performed by a plant cultivation artificial light supplement system 100.
Step 410, a first model and a second model are established.
In the step of establishing the first model and the second model, the following steps 411-413 may be included.
Step 411, obtaining growth state information of the plant under different environmental states, wherein the environmental states include a temperature state, a humidity state and CO 2 Concentration state, growth state information including infrared reflection intensity information of the plant;
step 412, constructing a first model based on growth state information of plants in different environmental states;
wherein the first model may be a many-to-many pair linear regression model, wherein the independent variables of the many-to-many linear regression model are environmental conditions (e.g., temperature conditions, humidity conditions, and CO) 2 Concentration state, etc.), the dependent variables of the many-to-many linear regression model are growth state information (e.g., infrared reflection intensity information of plants, leaf water potential, leaf relative turgor pressure, photosynthesis intensity, stomatal conductance, transpiration rate, leaf area index, etc.).
The specific process of establishing the first model may be: the method comprises the steps of firstly establishing an initial many-to-many linear regression model, obtaining growth state information of plants in different environmental states, solving the initial many-to-many linear regression model based on the growth state information of the plants in the different environmental states, and determining parameters of the initial many-to-many linear regression model so as to determine a first model.
In some embodiments, the first model may be a machine learning model, wherein the input of the machine learning model is growth state information of the plant and the output of the machine learning model is an environmental state. The machine learning model may include, but is not limited to, a Neural Network (NN), a Convolutional Neural Network (CNN), a Deep Neural Network (DNN), a Recurrent Neural Network (RNN), etc., or any combination thereof, for example, the machine learning model may be a model formed by a combination of a convolutional neural network and a deep neural network.
The specific process of establishing the first model may be: the method comprises the steps of establishing an initial machine learning model in advance, obtaining growth state information of plants in different environment states, and generating a first training sample, wherein the first training sample comprises the growth state information of the plants in a certain environment state, and a label of the first training sample is an environment state corresponding to the growth state information. And updating parameters of the initial machine learning model based on the first training sample until the trained initial machine learning model meets the preset conditions to obtain the trained machine learning model. The preset condition may be that the loss function converges, the loss function value is smaller than a preset value, or the iteration number is greater than a preset number, etc.
And 413, adjusting the illumination states in different environmental states based on the first model to obtain a second model.
In some embodiments, for each environmental state, the environmental state may be kept unchanged, and information on the growth state of the plant in the environmental state and in different lighting states is obtained. Thus, the dimensions of the first model are higher compared to the first model. The second model, corresponding to the first model, may be a mathematical model or a machine learning model.
In the step of establishing the first model and the second model, the first model and the second model established in advance may also be artificially introduced to omit the steps 411-413.
And step 420, acquiring the real-time environment state and the real-time illumination state of the plant, and determining the expected illumination state and the expected growth state of the plant according to the real-time environment state and the second model.
It is understood that plants exist in multiple growth stages (e.g., seedling stage, seedling revival stage, vigorous growth stage, flowering stage, and resting stage), and that the growth states desired for different growth stages differ. Thus, the desired lighting state may be determined based on the second model by the desired growth state and the real-time environment state.
In step 420, the real-time illumination status includes real-time illumination brightness information and real-time light composition information; the desired lighting state includes desired lighting intensity information and desired light composition information.
And step 430, determining the type of the supplementary lighting action based on the real-time lighting state and the expected lighting state.
The step of determining the light supplement action type may include the following steps 431 and 433.
Step 431, judging whether the real-time illumination state is an expected illumination state; if the real-time illumination state is the expected illumination state, determining the light supplementing action type to be a return circulation action, wherein the return circulation action comprises the steps of obtaining the illumination state of the next time point and determining the light supplementing action type of the next time point based on the illumination state of the next time point; and if the real-time illumination state is not the expected illumination state, determining that the light supplement action type is the light supplement execution action. In some embodiments, if the similarity between the real-time illumination state and the expected illumination state is greater than a preset threshold, the real-time illumination state may be determined as the expected illumination state, wherein the similarity between the real-time illumination state and the expected illumination state may be calculated by a similarity calculation method, and the similarity calculation method may include a jaccard similarity coefficient, a cosine similarity, and the like.
For example, if the real-time illumination state intensity is 220Klx, and the expected illumination intensity is 20Klx, the fill-in light action type is a return cycle action, where the return cycle action includes acquiring the illumination state at the next time point, and determining the fill-in light action type at the next time point based on the illumination state at the next time point.
For another example, if the real-time light intensity is 20Klx and the desired light intensity is 30Klx, the light supplement operation type is determined to be the light supplement execution operation.
Step 432, determining supplementary lighting information based on the supplementary lighting execution action, the real-time lighting state and the expected lighting state; performing light supplement operation according to the light supplement information; and acquiring the environmental state of the preset interval time point after the light supplement, and determining the adjustment action of the light supplement operation according to the environmental state and the expected growth state of the preset interval time point.
For example, if the real-time illumination state is 20Klx and the expected illumination state is 30Klx, it is determined that the fill-in light information is the difference between the expected illumination state and the real-time illumination state, which is 10 Klx. For another example, the environmental state of the light supplement operation is collected at preset interval time points, where the preset interval time points may be 5min, 10min, and the like, and the light supplement operation adjustment action is determined according to the growth state and the expected growth state of the preset interval time points.
Step 433, judging whether the growth state of the preset interval time point is larger than the expected growth state; if the growth state of the preset interval time point is larger than or equal to the expected growth state, keeping the light supplementing operation for a preset illumination time, stopping the light supplementing operation, and determining the light supplementing action type of the next time point based on the growth state of the next time point and the expected growth state of the next time point; and if the growth state of the preset interval time point is smaller than the expected growth state, determining the light supplement information of the next time point according to the growth state of the next time point and the expected growth state of the next time point, and performing light supplement operation of the next time point according to the light supplement information of the next time point.
For example, when the infrared reflection intensity information at the preset interval time point is greater than the expected infrared reflection intensity information, the light supplement operation is maintained for a preset illumination time (e.g., 5min, 10min, etc.), and then the light supplement operation is stopped, and the light supplement operation type at the next time point is determined based on the growth state at the next time point and the expected growth state at the next time point.
For another example, if the infrared reflection intensity information at the preset interval time point is smaller than the infrared reflection intensity information, the light supplement information at the next time point is determined according to the growth state at the next time point and the expected growth state at the next time point, and the light supplement operation at the next time point is performed according to the light supplement information at the next time point.
This light filling system can carry out the light filling to the large tracts of land crop simultaneously, also can be according to different plants to the different demands of illumination intensity, select the plant light filling lamp of different quantity, carry out distinctive light filling, this light filling system still can independently operate, the equipment cost has been reduced, can simulate the change of solar illumination and real-time supervision environment illumination intensity, can prevent in advance and light filling in advance, adopt the gradient light filling, avoid the light filling to excessively cause the extravagant and not enough influence vegetation scheduling problem of light filling of the energy.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.
Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.
Additionally, the order in which elements and sequences are referred to in this specification, the use of numerical letters, or the use of other designations are not intended to limit the order of the processes and methods in this specification, unless explicitly stated in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application history document does not conform to or conflict with the contents of the present specification, it is to be understood that the application history document, as used herein in the present specification or appended claims, is intended to define the broadest scope of the present specification (whether presently or later in the specification) rather than the broadest scope of the present specification. It is to be understood that the descriptions, definitions and/or use of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the content of this specification.
Finally, it should be understood that the examples in this specification are only intended to illustrate the principles of the examples in this specification. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.

Claims (10)

1. An artificial light supplementing method for plant cultivation is characterized by comprising the following steps:
acquiring growth state information of plants under different environmental states, wherein the environmental states comprise a temperature state, a humidity state and CO 2 A concentration state, wherein the growth state information comprises infrared reflection intensity information of the plant;
constructing a first model based on the growth state information of the plant under different environmental states;
based on the first model, adjusting the illumination states under different environmental states to obtain a second model;
acquiring a real-time environment state and a real-time illumination state of the plant, and determining an expected illumination state and an expected growth state of the plant according to the real-time environment state and the second model;
and determining a supplementary lighting action type based on the real-time lighting state and the expected lighting state.
2. The method for artificial light supplement for plant cultivation according to claim 1, wherein the determining a type of light supplement action based on the real-time lighting status and the expected lighting status comprises:
judging whether the real-time illumination state is the expected illumination state or not;
if the real-time illumination state is the expected illumination state, determining a light supplement action type as a return cycle action, wherein the return cycle action comprises acquiring the illumination state of the next time point and determining the light supplement action type of the next time point based on the illumination state of the next time point;
and if the real-time illumination state is not the expected illumination state, determining that the type of the light supplement action is the light supplement execution action.
3. The method for artificial supplementary lighting for plant cultivation according to claim 2, wherein the determining of the supplementary lighting action type as a supplementary lighting performing action comprises:
determining supplementary lighting information based on the supplementary lighting execution action, the real-time lighting state and the expected lighting state;
performing light supplement operation according to the light supplement information;
and acquiring the environment state of the preset interval time point after the light supplement, and determining the adjustment action of the light supplement operation according to the environment state of the preset interval time point and the expected growth state.
4. The method for artificial light supplement for plant cultivation according to claim 3, wherein the determining the light supplement operation adjusting action comprises:
judging whether the growth state of the preset interval time point is larger than the expected growth state or not;
if the growth state of the preset interval time point is greater than or equal to the expected growth state, keeping the light supplementing operation for a preset illumination time, stopping the light supplementing operation, and determining the light supplementing action type of the next time point based on the growth state of the next time point and the expected growth state of the next time point;
and if the growth state of the preset interval time point is smaller than the expected growth state, determining the light supplement information of the next time point according to the growth state of the next time point and the expected growth state of the next time point, and performing the light supplement operation of the next time point according to the light supplement information of the next time point.
5. The method for artificial light supplement for plant cultivation according to any one of claims 1-4, wherein the determining a type of light supplement action based on the real-time lighting state and the expected lighting state comprises:
the real-time illumination state comprises real-time illumination brightness information and real-time light component information;
the desired lighting state includes desired lighting intensity information and desired light composition information.
6. The method for artificial light supplement for plant cultivation according to any one of claims 1-4, wherein the step of adjusting the illumination state under different environmental conditions based on the first model to obtain a second model comprises:
and performing linear fitting by taking the illumination state as an independent variable and the growth state information as a dependent variable to establish a two-dimensional second model.
7. The method for artificial light supplement for plant cultivation according to claim 6, wherein the first model is a first data model or a first machine learning model; the second model is a second data model or a second machine learning model.
8. The utility model provides an artifical light filling system of plant cultivation which characterized in that includes:
the data acquisition module is used for acquiring growth state information of plants in different environmental states, wherein the environmental states comprise a temperature state, a humidity state and CO 2 A concentration state, wherein the growth state information comprises infrared reflection intensity information of the plant; the system is also used for acquiring the real-time environment state and the real-time illumination state of the plant;
the model building module is used for building a first model based on the growth state information of the plants in different environmental states; the system is also used for adjusting the illumination states under different environmental states based on the first model to obtain a second model;
the light supplementing action determining module is used for determining an expected illumination state and an expected growth state of the plant according to the real-time environment state and the second model; and the controller is further used for determining a supplementary lighting action type based on the real-time lighting state and the expected lighting state.
9. The system for artificial light supplement for plant cultivation according to claim 8, further comprising a light supplement light source module for performing light supplement operation;
the light supplementing light source module comprises an LED array, wherein the LED array at least comprises a blue LED unit, a green LED unit, an infrared LED unit, an ultraviolet LED unit and a red LED unit, and the red LED unit is arranged around the circumference of the green LED unit.
10. Plant cultivation artificial light supplement equipment, comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements the plant cultivation artificial light supplement method according to any one of claims 1 to 7 when executing the program.
CN202210883087.6A 2022-07-26 2022-07-26 Plant cultivation artificial light supplementing method, system and equipment Pending CN115067097A (en)

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Application publication date: 20220920