CN109635347B - Virtual simulation platform for intelligent facility for strawberry production in elevated greenhouse - Google Patents

Virtual simulation platform for intelligent facility for strawberry production in elevated greenhouse Download PDF

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CN109635347B
CN109635347B CN201811361937.6A CN201811361937A CN109635347B CN 109635347 B CN109635347 B CN 109635347B CN 201811361937 A CN201811361937 A CN 201811361937A CN 109635347 B CN109635347 B CN 109635347B
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strawberry
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module
growth
internet
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CN109635347A (en
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严方
吴刚山
冯祥
刘晓宇
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Guangxi Gaohan Education Technology Co.,Ltd.
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Jiangsu Polytechnic College of Agriculture and Forestry
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F30/20Design optimisation, verification or simulation

Abstract

The invention discloses an elevated greenhouse strawberry production intelligent facility virtual simulation platform which comprises a substrate and environment simulation module, a strawberry growth simulation module, a form visualization three-dimensional module, an Internet of things system visualization three-dimensional module, an elevated greenhouse strawberry production virtual simulation process evaluation module and a strawberry intelligent control simulation module, wherein the simulation platform mainly aims at the influence of the elevated strawberry production facility on the elevated strawberry production facility environment part after the action of the elevated strawberry production facility and the influence of the elevated strawberry production facility environment part on the strawberry root development degree, the root and stem robustness degree, the blade abundance, the blade area and thickness, the flower bud number, the result number, the fruit diameter probability distribution, the sugar content probability distribution, the acidity probability distribution and the like after the change of the elevated strawberry production facility environment part, and is designed for the control strategy of the whole elevated greenhouse strawberry production intelligent facility, The application training of the intelligent facility for strawberry production in the elevated greenhouse provides a three-dimensional visual virtual simulation foundation.

Description

Virtual simulation platform for intelligent facility for strawberry production in elevated greenhouse
Technical Field
The invention relates to an intelligent facility virtual simulation platform, in particular to an intelligent facility virtual simulation platform for strawberry production in an elevated greenhouse.
Background
The intelligent agricultural Internet of things system initiates a new round of rural information technology revolution and industrial revolution, and is the core driving force for the future competitive improvement and agricultural industry upgrade in the field of agricultural information industry. The development and operation of an intelligent agricultural Internet of things system which is simple and convenient, powerful in function and energy-saving and application-reducing is a hotspot in the field of the current agricultural information industry.
The elevated cultivation of strawberries is a novel cultivation method, which is a method for planting strawberries on an elevated planting bed for cultivation and management by using a series of equipment and measures. The greenhouse is adopted for the elevated cultivation of the strawberries, so that the production in different seasons is convenient to carry out, the picking period can be prolonged, and the economic benefit is improved. The greenhouse is adopted for the elevated cultivation of the strawberries, the environmental temperature, humidity, moisture and CO2 are easy to control, and the intelligent agricultural Internet of things system is favorably put into use. The sour and sweet degree of the strawberry fruits is finely adjusted by adopting a scientific management means, so that the strawberry fruits are favorably improved. The contradiction of the popularization of intelligent facilities for the production of strawberries in elevated greenhouses in China currently mainly appears as two points: the contradiction between the intelligent facility for strawberry production in the overhead greenhouse with relatively high price and agricultural products with relatively low value is solved; the second is the conflict between high-tech equipment and agricultural practitioners with insufficient relative technical knowledge reserves. The added value of the high-rise application and cultivation strawberry products is relatively high, and especially the strawberries are produced in different seasons, so that the popularization of the intelligent facility for the production of the strawberries in the high-rise greenhouse has good engineering value and economic value.
The current overhead greenhouse strawberry production intelligent facility's application training mode has two kinds: the first is purely theoretical training, which has the advantage of low cost, but appears to be relatively less educational for agricultural practitioners with relatively insufficient knowledge reserves. The second mode is the actual learning of demonstration popularization points, and the mode has the advantages of strong site feeling, high price, limited accommodated personnel and slow popularization because each demonstration popularization point is influenced by seasonality, area and the like.
Disclosure of Invention
The purpose of the invention is as follows: the invention discloses a virtual simulation platform of an intelligent facility for strawberry production in an elevated greenhouse, which provides a visual virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse, and establishes a virtual simulation platform of which the virtual simulation platform comprises the following steps: the visual model 1 trains students to change the intelligent modules of the strawberry production facilities and set basic parameters and other basic use skills, and vivid intelligent module regulation and control selection training of the strawberry production facilities is provided for the students. The training is on-line application simulation training, the environment of the training can be changed at will, any damage to the intelligent facility system for producing the strawberries in the real elevated greenhouse can not be caused, and the training is not limited by seasons, teachers and materials, space and the like.
The technical scheme is as follows: virtual simulation platform of overhead greenhouse strawberry production intelligent facility adopts visual subassembly modeling technique, by matrix and environment simulation module, strawberry growth simulation module, the visual three-dimensional module of form, the visual three-dimensional module of thing networking system, the process evaluation module and the strawberry intelligent control simulation module of overhead greenhouse strawberry production virtual simulation constitute, wherein matrix and environment simulation module, strawberry growth simulation module is the data source of platform, for the matrix in the overhead, the humiture in the greenhouse, the illumination of strawberry growth is at the provision emulation data of thing networking actuating mechanism, and provide the data source of strawberry growth simulation under these emulation data's support. And each three-dimensional model is built in a 3DS MAX environment, then is imported into a Unity3D engine, and is dynamically presented by adopting C # script programming, and the database adopts Mysql.
The intelligent strawberry control simulation module is used for displaying production data and growth data calculated by the strawberry growth model simulation module, receiving data from the visual three-dimensional module of the Internet of things system, issuing a control strategy and an instruction to the visual three-dimensional module of the Internet of things system after calculation and analysis, and changing the dynamic form of an Internet of things execution mechanism model in the visual three-dimensional module of the Internet of things system; after the Internet of things execution mechanism model acts, the data are fed back to the substrate and environment simulation module, so that the data of the substrate and environment simulation module are changed; the data change of the substrate and environment simulation module is fed back to the strawberry growth model simulation module to influence the growth and production of the strawberries in the strawberry growth model simulation module, and the strawberry growth model simulation module calculates the growth data and the production data of the strawberries; the growth data and the production data of the strawberries calculated by the strawberry growth model simulation module are fed back to the visual three-dimensional module of the Internet of things system on one hand and the visual three-dimensional module of the form on the other hand; after the form visualization three-dimensional module receives the data fed back by the strawberry growth model simulation module, adjusting the strawberry growth form model and the greenhouse and climate environment form model and feeding back the corresponding data to the internet of things system visualization three-dimensional module; the visual three-dimensional module of the internet of things system receives data information fed back by the strawberry growth model simulation module and the visual three-dimensional module of the form and then feeds the data information back to the strawberry intelligent control simulation module, the process evaluation module of the virtual simulation of the production of the strawberries in the elevated greenhouse, the matrix and the environment simulation module.
Specifically, the visual three-dimensional module of the Internet of things system consists of an Internet of things sensor model, an Internet of things executing mechanism model, an Internet of things transmission model and an intelligent strategy controller; the intelligent facility information acquisition equipment for strawberry production in the conventional elevated greenhouse is simulated by the sensor model of the internet of things, and is used for acquiring data information sent by the form-visualized three-dimensional module and the simulation module of the strawberry production model and sending the data information to the transmission model of the internet of things, the matrix and environment simulation module and the process evaluation module for virtual simulation of strawberry production in the elevated greenhouse; the Internet of things transmission model simulates an Internet of things communication node or gateway equipment, communication protocol simulation is carried out in a transparent transmission mode, data information sent by the Internet of things sensor model and the Internet of things executing mechanism model is collected and fed back to the strawberry intelligent control simulation module, meanwhile, control strategies and instructions sent by the strawberry intelligent control simulation module are received, and the control strategies and instructions are sent to the Internet of things sensor model and the intelligent strategy controller to form control closed-loop negative feedback; the Internet of things executing mechanism model comprises a spraying system, a drip irrigation system, a dehumidifier, a negative pressure fan, a wet curtain system, a fan heater, a sun shading machine, a water and fertilizer all-in-one machine, CO2 application equipment and a light supplement lamp, and is used for providing visual three-dimensional action vision for students, providing a data source for calculating the influence effectiveness of the equipment on a model in a matrix and environment simulation module for a platform, and sending the data source to a process evaluation module, a matrix and environment simulation module for virtual simulation of production of the strawberry in the elevated greenhouse through an Internet of things transmission model and an Internet of things sensor model; the intelligent strategy controller receives the control strategy and the command issued by the intelligent strawberry control simulation module through the transmission model of the Internet of things and sends the control strategy and the command to the execution mechanism model of the Internet of things.
Specifically, the process evaluation module of the virtual simulation of the production of the strawberries in the elevated greenhouse comprises modules for forecasting flower buds of the strawberries, forecasting fruit bearing of the strawberries, forecasting yield of the strawberries, forecasting plant growth of the strawberries and the like, and the data are monitored by advanced vision processing equipment of the internet of things in a simulation mode, so that on one hand, the latest experience training of agricultural equipment can be provided for students, and meanwhile, the estimation data of the sensors also provide visual results and important evaluation indexes for the process evaluation of the virtual simulation of the production of the strawberries.
Specifically, the matrix and environment simulation module mainly comprises a matrix water and fertilizer grid model, a leaf transpiration and absorption grid model, an illumination radiation grid model and a greenhouse temperature and humidity field effect model. The matrix water and fertilizer grid model adopts a method of grid division and grid area centralized parameter modeling to establish a centralized distribution model of water and important elements in the grid and provide a water model and a trace element model required by growth for strawberries in the grid. The leaf transpiration and absorption grid model also adopts a grid division and grid region centralized parameter modeling method, determines transpiration and absorption action areas of strawberries in the whole facility in different growth periods and growth states through a statistical method, and then carries out grid division and grid region centralized parameter modeling on the strawberries. The leaf transpiration mainly provides a calculation data source for the change of water and fertilizer of the grid in the matrix, and simultaneously provides a corresponding calculation data source for the simulation module of the strawberry growth model, particularly provides a calculation data source for the acidity of the strawberry. The leaf absorption effect grid modeling mainly provides a calculation data source for the absorption of the foliar fertilizer, and simultaneously provides a corresponding calculation data source for the strawberry growth model simulation module of the strawberry, particularly provides a corresponding calculation data source for the acidity, the result rate and the distortion rate of the strawberry. The greenhouse temperature and humidity field effect model provides a corresponding calculation data source for growth of the strawberries and plant diseases and insect pests. The illumination radiation grid model provides a corresponding calculation data source for the simulation module of the strawberry growth model, and particularly provides a calculation data source for the sweetness of the strawberry.
Specifically, the strawberry growth model simulation module comprises a strawberry pest probability model, a strawberry moisture growth model, a strawberry fertilizer efficiency growth model, a strawberry sugar model and a strawberry illumination growth model. The strawberry pest probability model describes strawberry pest and disease damage by adopting pest and disease damage occurrence probability under an environmental state. The growth model part of the strawberry adopts a limiting factor model, namely the growth of the root system of the strawberry, the height of the plant, the thickness and the size of the leaves and the number of the flower buds are limited by the limiting factor, and the value is limited by the minimum factor which influences the growth of the strawberry. The growth model part adopts superposition influence, such as the size, distortion degree, sugar accumulation, acidity accumulation and the like of strawberry fruits, and is calculated according to the illumination time, the application of trace elements and the application of water in a proper growth period. The normal application period of the strawberry moisture growth model is a limiting factor influence model, and the proper growth period is an accumulation influence model. The base fertilizer of the strawberry fertilizer efficiency growth model is a limiting factor influence model, and the special fertilizer efficiency is an accumulated influence model. The basic sugar of the strawberry sugar model is a limiting factor influence model, and the light supplement part is an accumulation influence model. The basic growth of the strawberry illumination growth model is a limiting factor influence model, and the thickness and the size of the leaves are cumulative influence models. The strawberry growth model simulation module provides a calculation data source for the process evaluation module of virtual simulation of the production of the strawberries in the elevated greenhouse, provides a calculation data source for three-dimensional presentation of the three-dimensional module with visual form, and provides a calculation data source for the leaf transpiration and absorption grid model of the substrate and environment simulation module.
Specifically, the form of the form visualization three-dimensional module is presented in a panoramic and observation window local landscape mode. The panorama is characterized in that a 3DMAX is used for establishing five grades of models of flourishing leaves, luxuriant buds and abundant fruits of the strawberries in the seedling stage, the bud stage, the fruit setting stage, the fruiting stage and the picking stage at different stages, and the models are visualized through a growth period regulation factor of the strawberries after Unity3D is introduced. And the local landscape of the observation window adopts Scriptable Render Pipeline (SRP for short) to independently Render three strawberry models in a seedling stage, a bud stage, a fruit setting stage, a fruiting stage and a picking stage, so as to form visual presentation of plant diseases and insect pests, dynamic flowering and dynamic growth. The presentation design of panoramic view and local view separation mainly reduces the calculation overhead of a 3D model while ensuring the visual presentation effect as much as possible.
Specifically, the strawberry intelligent control simulation module is composed of a strawberry intelligent internet of things management and control module, a WEB-end-simulated human-computer interaction module and an android-simulated human-computer interaction module. The intelligent strawberry internet of things management and control module is a core module of the intelligent strawberry control simulation module, and is mainly used for carrying out intelligent control strategy planning on the simulated strawberry growth process according to data collected by the virtual internet of things sensor module. And the WEB-simulated end human-computer interaction module is used for training students to select and issue the intelligent control strategy for the strawberry growth process according to the actual growth condition. The android human-computer interaction module mainly trains students to actually control the growth process of the strawberries according to monitoring and operation of the mobile phone APP terminal, and mainly trains how to perform related equipment operation processing skills under the condition of system abnormity.
Has the advantages that: the invention discloses an elevated greenhouse strawberry production intelligent facility virtual simulation platform, which provides vivid intelligent module regulation and control selection training of strawberry production facilities for students, trains the application skills of the elevated greenhouse strawberry production intelligent facilities of the students, and can be used as a virtual simulation platform for the improvement research of the elevated greenhouse strawberry production intelligent facilities; the platform adopts the design of separated presentation of the panoramic view and the local view, and independent rendering is carried out on flowering, fruiting, growth and plant diseases and insect pests of strawberries of the local view by utilizing the scalable Render Pipeline, so that on one hand, the platform accords with the observation thinking of people, the 3D visual presentation effect is ensured, and on the other hand, the calculation cost is reduced.
Drawings
FIG. 1 is a general schematic framework diagram of a virtual simulation platform;
FIG. 2 is a data flow diagram of a virtual simulation platform module;
FIG. 3 is a seven-level fuzzy probability model of strawberry growth.
Detailed Description
The invention discloses a virtual simulation platform of an intelligent facility for strawberry production in an elevated greenhouse, which provides a visual virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse, and mainly aims at the influence of the simulation platform on the environmental parts (temperature and humidity field, illumination, CO2 concentration, water in an elevated tank and main fertility elements in the production facility) of the facility for strawberry production after the facility for strawberry production acts, and the influence of the environmental parts (temperature and humidity field, illumination, CO2 concentration, water in the elevated tank and main fertility elements in the production facility) of the facility for strawberry production after the environmental parts (temperature and humidity field, illumination, CO2 concentration, water in the elevated tank and main fertility elements in the production facility) change on the development degree of roots, the robust degree of roots, the number of leaves, the number of buds, the number of results, the probability distribution of fruit diameters, the probability distribution of sugar content, the probability distribution and the like of strawberries in the elevated greenhouse, wherein the simulation platform is designed for a control strategy of, The application training of the intelligent facility for strawberry production in the elevated greenhouse provides a three-dimensional visual virtual simulation foundation.
The method comprises the steps of establishing a three-dimensional model by using a 3DS MAX, establishing an Internet of things sensor model, an Internet of things actuator model, a greenhouse and climate environment model and a strawberry growth form model (panoramic view and local landscape) three-dimensional model library by using a Unity3D engine as a basic development platform and a Mysql database as a real-time database, and importing the sensor model, the Internet of things actuator model, the greenhouse and climate environment model and the strawberry growth form model into a Unity3D engine to form a component library, wherein the component library comprises three parts of 3D dynamic characteristic description, 3D dynamic characteristic calculation description and physical or physiological performance model description of each component. The 3D dynamic characteristic description mainly refers to selection, operation light indication, fault light indication, rotation, illumination, atomization, growth, flowering, fruit expansion and other visual three-dimensional indications. The 3D dynamic characteristic calculation description refers to the judgment of the working state of the equipment. The physical or physiological performance model refers to the influence of facility environment of the device or the influence of the facility environment on the growth of the strawberry.
Establishing a visual three-dimensional module: firstly, 3DS MAX software is utilized to establish a three-dimensional physical model of a spraying system, a drip irrigation system, a dehumidifier, a negative pressure fan, a wet curtain system, a fan heater, a sun shading machine, a water and fertilizer all-in-one machine, CO2 application equipment, a light supplement lamp, a facility shed, an overhead tank, a panoramic strawberry and a local strawberry, and then a file in a 3DS format is generated. The establishment of the 3DS MAX model comprises three steps:
1. the method comprises the steps of selecting a basic body to construct (a cuboid, a cylinder and the like), constructing an operation mode model (lofting, Boolean operation and the like), modifying an editable polygon to realize the construction of the model according to the characteristics of an entity model of the intelligent facility equipment for producing the strawberry in the elevated greenhouse (part of models need to convert the basic body into the editable polygon, and performing operations such as stretching, extruding, zooming and the like by selecting vertexes, edges and polygons).
2. The intelligent facility model for strawberry production in the elevated greenhouse is endowed with different materials and maps due to different materials and the like.
3. The light is used to make the material in the established model of the intelligent facility for strawberry production in the elevated greenhouse more vivid. In 3DS MAX, the three-dimensional model of each overhead greenhouse strawberry production intelligent facility device is established according to the equipment of a practical manufacturer 1: the model 1, the material of the model, the chartlet keep unanimous with real equipment, wherein include in the three-dimensional model establishment of rotary equipment that the different shapes that appear in a vision position rotation process totally 10 three-dimensional models. The digital display adopts a nixie tube mode to establish a three-dimensional model of each digit, and the positions of decimal points are short and vertical in the digital display.
The specific composition structure of the virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse of the invention is described in detail with reference to the accompanying drawings:
as shown in fig. 1, the virtual simulation platform of the intelligent facility for strawberry production in the elevated greenhouse comprises a substrate and environment simulation module, a strawberry growth simulation module, a form visualization three-dimensional module, an internet of things system visualization three-dimensional module, an elevated greenhouse strawberry production virtual simulation process evaluation module and a strawberry intelligent control simulation module.
The strawberry intelligent control simulation module is used for displaying production data and growth data calculated by the strawberry growth model simulation module, receiving data from the visual three-dimensional module of the Internet of things system, issuing a control strategy and an instruction to the visual three-dimensional module of the Internet of things system after calculation and analysis, and changing the dynamic form of an Internet of things execution mechanism model in the visual three-dimensional module of the Internet of things system; after the Internet of things executing mechanism model acts, information after the action is fed back to the Internet of things transmission model, the Internet of things transmission model sends data to the Internet of things sensor model, and the Internet of things sensor model further feeds back the data to the substrate and environment simulation module, so that the substrate and environment simulation module data change; the data change of the substrate and environment simulation module is fed back to the strawberry growth model simulation module to influence the growth and production of the strawberries in the strawberry growth model simulation module, and the strawberry growth model simulation module calculates the growth data and the production data of the strawberries; the growth data and the production data of the strawberries calculated by the strawberry growth model simulation module are fed back to the visual three-dimensional module of the Internet of things system on one hand and the visual three-dimensional module of the form on the other hand; after the form visualization three-dimensional module receives the data fed back by the strawberry growth model simulation module, adjusting the strawberry growth form model and the greenhouse and climate environment form model and feeding back the corresponding data to the internet of things system visualization three-dimensional module; the visual three-dimensional module of the internet of things system receives data information fed back by the strawberry growth model simulation module and the visual three-dimensional module of the form and then feeds the data information back to the strawberry intelligent control simulation module and the process evaluation module of the virtual simulation of the strawberry production of the elevated greenhouse.
Specifically, the visual three-dimensional module of the Internet of things system consists of an Internet of things sensor model, an Internet of things executing mechanism model, an Internet of things transmission model and an intelligent strategy controller; the intelligent facility information acquisition equipment for strawberry production in the conventional elevated greenhouse is simulated by the sensor model of the internet of things, and is used for acquiring data information sent by the form-visualized three-dimensional module and the simulation module of the strawberry production model and sending the data information to the transmission model of the internet of things, the matrix and environment simulation module and the process evaluation module for virtual simulation of strawberry production in the elevated greenhouse; the Internet of things transmission model simulates an Internet of things communication node or gateway equipment, communication protocol simulation is carried out in a transparent transmission mode, data information sent by the Internet of things sensor model and the Internet of things executing mechanism model is collected and fed back to the strawberry intelligent control simulation module, meanwhile, control strategies and instructions sent by the strawberry intelligent control simulation module are received, and the control strategies and instructions are sent to the Internet of things sensor model and the intelligent strategy controller to form control closed-loop negative feedback; the Internet of things executing mechanism model comprises a spraying system, a drip irrigation system, a dehumidifier, a negative pressure fan, a wet curtain system, a fan heater, a sun shading machine, a water and fertilizer all-in-one machine, CO2 application equipment and a light supplement lamp, and is used for providing visual three-dimensional action vision for students, providing a data source for calculating the influence effectiveness of the equipment on a model in a matrix and environment simulation module for a platform, and sending the data source to a process evaluation module, a matrix and environment simulation module for virtual simulation of production of the strawberry in the elevated greenhouse through an Internet of things transmission model and an Internet of things sensor model; the intelligent strategy controller receives the control strategy and the command issued by the intelligent strawberry control simulation module through the transmission model of the Internet of things and sends the control strategy and the command to the execution mechanism model of the Internet of things.
The intelligent facility information acquisition equipment mainly simulates the conventional elevated greenhouse strawberry production intelligent facility information acquisition equipment such as environment temperature, humidity, air pressure, illuminance, CO2 concentration, substrate temperature, humidity, substrate EC value, substrate PH value and the like, the static characteristic of the intelligent facility information acquisition equipment is a 3D appearance model of a corresponding sensor, the dynamic characteristic of the intelligent facility information acquisition equipment is a working indicator lamp of the sensor, the working indicator lamp is respectively green under a power-on state and dark green under a power-off state, the data format of the sensor is MODBUS RTU, a universal dialog box is adopted for parameter setting, and the range, unit, display digit, baud rate, equipment address, storage address, data format and parity check category of the sensor are mainly set.
The internet of things executing mechanism model is a spraying system, a drip irrigation system, a dehumidifier, a negative pressure fan, a wet curtain system, a fan heater, a sun shading machine, a water and fertilizer all-in-one machine, CO2 application equipment and a light supplement lamp, and the static characteristic of the internet of things executing mechanism model is a 3D appearance model of a corresponding executing mechanism. Dynamic characteristics of spray system a particle system of unity3d was used to produce falling spray water droplets, and the atomization effect was based on the atomization effect produced by the particle system of unity3 d. The dynamic characteristics of the dehumidifier, the negative pressure fan and the warm air blower are the rotating animation special effect of the fan. The dynamic characteristics of the drip irrigation system and the water and fertilizer integrated machine are indicated by a pressure gauge of the pipeline. The dynamics of the CO2 application apparatus are expressed by the flame particle effect. The dynamic characteristics of the fill light are described by the real Lighting technology of unity3 d. In a mathematical model, a spraying system and a drip irrigation system adopt a gridding lumped modeling mode, namely the pressure loss of a pipe network is not considered, the default outlet pressure of each spray head is constant, and the flow of each spray head is only in direct proportion to the application time. The default variable frequency voltage regulator of the water and fertilizer all-in-one machine works stably, the pipeline loss is not considered, the crystallization of the fertilizer in the conveying process is not considered, and the water and fertilizer ratio conveyed in the pipeline with the same fertilizer ratio is uniform. In the fertilizer-water pipe network, only a characteristic equation of the pump and an output equation of the frequency converter need to be established, the output pressure head of the pump is multiplied by a fixed pressure loss coefficient to serve as a fixed output pressure head of each spray head, the spraying amount of water of each spray head is obtained through the sectional area of a fluid, and then the water and fertilizer spraying amount of each spray head is obtained according to the water and fertilizer proportion. Pure spray can be considered as a fertilizer water application with a fertilizer water ratio of 0. The mathematical models of the negative pressure fan, the wet curtain system and the fan heater are carried out in a mode of combining a lumped model and a field effect model, the lumped model means that the heat exchange between the negative pressure fan, the wet curtain system and the fan heater and the outside is carried out by taking simulated values of the environment and greenhouse boundary environment values under field effect distribution as initial conditions, the ventilation of the fan heater and the negative pressure fan as total medium mass, the total heat exchange amount is calculated according to the lumped model, and then the field distribution superposition of the total energy exchange field is carried out according to the propagation empirical curve of the humidity temperature field. The superposition effect is superposed with the distribution effect of the thermal field of solar radiation, blade transpiration and natural convection of air, so that a temperature and humidity field in the whole facility is obtained. The dynamic characteristic of the sun-shading machine is realized by adopting a gradually displayed sun-shading curtain, the sun-shading area is calculated according to a design grid, the incident angle of the sun is not considered, the absorption imbalance of the sun-shading curtain to visible light is not considered, and only the attenuation of the radiation energy of the sun is considered, namely the attenuation rate of the solar radiation energy entering the same grid through the sun-shading curtain is consistent. The dynamic display effect of the sunshade curtain on the facility is simulated by the parallel light source.
The process evaluation module of the virtual simulation of the strawberry production in the elevated greenhouse comprises modules for strawberry flower bud prediction, strawberry fruit bearing prediction, strawberry yield prediction, strawberry plant growth prediction and the like, and the data are monitored by virtual simulation through advanced Internet of things vision processing equipment. The strawberry plant growth prediction model is composed of a strawberry plant growth limiting factor model, a superposition factor model and a time model, namely, the growth period of the strawberries is set according to a time sequence, the limiting factor model and the superposition factor model are established for growth factors in the period, the extreme quality, the inferior quality, the middle quality, the sub quality, the excellent quality and the excellent quality of the growth condition of the strawberries are comprehensively calculated by the model through the change of environment and the change of water and fertilizer, and the probability distribution is Poisson distribution. The strawberry bud prediction is a branch model of a strawberry plant growth prediction model, mainly extracts the growth state of each grid strawberry in the bud period, calculates the probability of the bud number of each grid strawberry through a bud number factor fuzzy probability model, and then multiplies the probability by the plant number to calculate the bud number, wherein the model is also an extreme inferior, middle, sub-optimal, excellent and extreme excellent seven-level fuzzy probability model, and the probability distribution is Poisson distribution. The strawberry fruiting prediction model is a probability model established on the basis of strawberry bud prediction, and special fruiting fertilizers are applied to serve as superposition influence factors. The strawberry yield prediction is a model established on the basis of a strawberry fruit bearing prediction model, a fruit size probability model is established through a nutrition limiting factor theory by combining the growth condition and the fruit bearing number of the strawberries, and then the fruit size probability model is multiplied by the fruit number to obtain the yield, wherein the probability model is a seven-level fuzzy probability model with extreme, inferior, medium, suboptimal, excellent and excellent properties, and the probability distribution is Poisson distribution. The yield can be counted for fruits with qualified sizes, distorted fruits and the like, a distortion probability model of the fruits is established by a limiting factor theory, and special distortion-preventing fruit fertilizers are applied as superposition influence factors.
The substrate and environment simulation module mainly comprises a substrate water and fertilizer grid model, a blade transpiration and absorption grid model, an illumination radiation grid model and a greenhouse temperature and humidity field effect model. The matrix water and fertilizer grid model adopts a method of grid division and grid area centralized parameter modeling to establish a centralized distribution model of water and important elements in the grid and provide a water model and a trace element model required by growth for strawberries in the grid. The leaf transpiration and absorption grid model also adopts a grid division and grid region centralized parameter modeling method, determines transpiration and absorption action areas of strawberries in the whole facility in different growth periods and growth states through a statistical method, and then carries out grid division and grid region centralized parameter modeling on the strawberries. The leaf transpiration mainly provides a calculation data source for the change of water and fertilizer of the grid in the matrix, and simultaneously provides a corresponding calculation data source for the simulation module of the strawberry growth model, particularly provides a calculation data source for the acidity of the strawberry. The leaf absorption effect grid modeling mainly provides a calculation data source for the absorption of the foliar fertilizer, and simultaneously provides a corresponding calculation data source for the strawberry growth model simulation module of the strawberry, particularly provides a corresponding calculation data source for the acidity, the result rate and the distortion rate of the strawberry. The greenhouse temperature and humidity field effect model provides a corresponding calculation data source for growth of the strawberries and plant diseases and insect pests. The illumination radiation grid model provides a corresponding calculation data source for the simulation module of the strawberry growth model, and particularly provides a calculation data source for the sweetness of the strawberry.
The strawberry growth model simulation module comprises a strawberry pest probability model, a strawberry moisture growth model, a strawberry fertilizer efficiency growth model, a strawberry sugar model and a strawberry illumination growth model. The strawberry pest probability model describes strawberry pest and disease damage by adopting pest and disease damage occurrence probability under an environmental state. The growth model part of the strawberry adopts a limiting factor model, namely the growth of the root system of the strawberry, the height of the plant, the thickness and the size of the leaves and the number of the flower buds are limited by the limiting factor, and the value is limited by the minimum factor which influences the growth of the strawberry. The growth model part adopts superposition influence, such as the size, distortion degree, sugar accumulation, acidity accumulation and the like of strawberry fruits, and is calculated according to the illumination time, the application of trace elements and the application of water in a proper growth period. The normal application period of the strawberry moisture growth model is a limiting factor influence model, and the proper growth period is an accumulation influence model. The base fertilizer of the strawberry fertilizer efficiency growth model is a limiting factor influence model, and the special fertilizer efficiency is an accumulated influence model. The basic sugar of the strawberry sugar model is a limiting factor influence model, and the light supplement part is an accumulation influence model. The basic growth of the strawberry illumination growth model is a limiting factor influence model, and the thickness and the size of the leaves are cumulative influence models. The strawberry growth model simulation module provides a calculation data source for the process evaluation module of virtual simulation of the production of the strawberries in the elevated greenhouse, provides a calculation data source for three-dimensional presentation of the three-dimensional module with visual form, and provides a calculation data source for the leaf transpiration and absorption grid model of the substrate and environment simulation module.
Wherein, the form of the form visual three-dimensional module adopts the form of panorama and observation window local landscape to present. The panorama is characterized in that a 3DMAX is used for establishing five grades of models of flourishing leaves, luxuriant buds and abundant fruits of the strawberries in the seedling stage, the bud stage, the fruit setting stage, the fruiting stage and the picking stage at different stages, and the models are visualized through a growth period regulation factor of the strawberries after Unity3D is introduced. And the local landscape of the observation window adopts Scriptable Render Pipeline (SRP for short) to independently Render three strawberry models in a seedling stage, a bud stage, a fruit setting stage, a fruiting stage and a picking stage, so as to form visual presentation of plant diseases and insect pests, dynamic flowering and dynamic growth. The presentation design of panoramic view and local view separation mainly reduces the calculation overhead of a 3D model while ensuring the visual presentation effect as much as possible.
The intelligent strawberry control simulation module is composed of a intelligent strawberry internet of things management and control module, a WEB-end-simulated human-computer interaction module and an android-simulated human-computer interaction module. The intelligent strawberry internet of things management and control module is a core module of the intelligent strawberry control simulation module, and is mainly used for carrying out intelligent control strategy planning on the simulated strawberry growth process according to data collected by the virtual internet of things sensor module. And the WEB-simulated end human-computer interaction module is used for training students to select and issue the intelligent control strategy for the strawberry growth process according to the actual growth condition. The android human-computer interaction module mainly trains students to actually control the growth process of the strawberries according to monitoring and operation of the mobile phone APP terminal, and mainly trains how to perform related equipment operation processing skills under the condition of system abnormity.
The above is specifically described below
As shown in fig. 1, a three-dimensional model of an internet of things system visualization three-dimensional module and a three-dimensional model of a morphology visualization three-dimensional module are completed in 3DMAX, and the three-dimensional models include: the system comprises an Internet of things system visualization three-dimensional module, such as an Internet of things executing mechanism, an intelligent strategy controller, an Internet of things sensor, an Internet of things transmission module and the like; greenhouse environment form models such as greenhouse foundation structures, water pipelines, cable pipelines, control boxes, elevated slots, soil and the like; strawberry panorama, observation window local landscape and other strawberry growth form three-dimensional models.
After the model is imported into the Unity3D, a user issues a control strategy and an instruction corresponding to the intelligent strategy controller through production data and growth data calculated by the strawberry growth model simulation module, the substrate and the environment simulation module displayed by the strawberry intelligent control simulation module, and changes the dynamic form of the execution mechanism of the Internet of things. The process completely simulates an information transmission path of an internet of things sensor- > an internet of things transmission module- > a strawberry intelligent control simulation module, a strawberry intelligent control simulation module- > an internet of things transmission module- > an intelligent strategy controller- > an internet of things execution mechanism model, an internet of things execution mechanism model state- > an internet of things transmission module- > a strawberry intelligent control simulation module, and a protocol adopts a transparent transmission protocol. In the process, a signal indicator lamp and a power lamp of an internet-of-things transmission module express the flicker and operation of the indicator lamp by switching the display of a 3DMAX basic model, wherein the 3DMAX basic model consists of a closing model and an operating model, and the flicker means that the model switches the display of the closing model and the operating model according to a certain frequency. The dynamic state of the Internet of things executing mechanism comprises rotation state expression of a fan and a motor, color state expression of an operation indicating lamp, atomization of an atomization nozzle, water drops of a dropper head, illumination of a light supplement lamp and flame of a CO2 application machine. The rotating form expression of the fan and the motor is realized by switching 10 3DMAX basic form models for displaying the rotating blades in a Unity3D period mode. Atomization, water droplet, flame are dynamically expressed by the Unity3D particle system. The illumination is dynamically expressed by a Unity3D light source system.
After thing networking actuating mechanism moved, can feed back matrix and environmental simulation module, it changes to the fertility and the moisture in the ambient temperature distribution, the illumination distribution, the ambient humidity distribution of overhead greenhouse strawberry production intelligent facilities, the distribution of environment CO2 and the soil. The data change of the substrate and environment simulation module can influence the growth and production of the strawberries, and the calculation model is a strawberry growth model simulation module. The growth state of the strawberry consists of basic morphology and insect-pest special morphology, the basic morphology is modeled by 3DMAX, and the total number of seven fuzzy morphology expressions in five growth periods is 35 basic morphology models. The special forms of diseases and insect pests, dynamic flowering, dynamic growth and the like are formed by rendering the Scriptable Render Pipeline of Unity3D in a local window.
All simulation process data are provided for a virtual simulation process evaluation module for the production of the strawberries in the elevated greenhouse in a data simulation acquisition mode and are used for making simulation training evaluation results of trainees, and the main evaluation basis is as follows: forecasting strawberry flower buds, forecasting strawberry fruit bearing, forecasting strawberry yield and forecasting strawberry plant growth.

Claims (8)

1. The utility model provides an overhead greenhouse strawberry production intelligent facilities virtual simulation platform which characterized in that: the system comprises a substrate and environment simulation module, a strawberry growth simulation module, a form visualization three-dimensional module, an Internet of things system visualization three-dimensional module, an overhead greenhouse strawberry production virtual simulation process evaluation module and a strawberry intelligent control simulation module;
the intelligent strawberry control simulation module is used for displaying production data and growth data calculated by the strawberry growth model simulation module, receiving data from the visual three-dimensional module of the Internet of things system, issuing a control strategy and an instruction to the visual three-dimensional module of the Internet of things system after calculation and analysis, and changing the dynamic form of an Internet of things execution mechanism model in the visual three-dimensional module of the Internet of things system;
after the Internet of things executing mechanism model acts, the data are fed back to the substrate and environment simulation module, so that the data of the substrate and environment simulation module are changed;
the data change of the substrate and environment simulation module is fed back to the strawberry growth model simulation module to influence the growth and production of the strawberries in the strawberry growth model simulation module, and the strawberry growth model simulation module calculates the growth data and the production data of the strawberries; the matrix and environment simulation module comprises a matrix water and fertilizer grid model, a leaf transpiration and absorption grid model, an illumination radiation grid model and a greenhouse temperature and humidity field effect model, wherein the matrix water and fertilizer grid model provides a water model and a trace element model required by growth for strawberries in a grid; the leaf transpiration and absorption grid model determines transpiration and absorption action areas of strawberries in the whole facility in different growth periods and growth states through a statistical method; the greenhouse temperature and humidity field effect model provides a corresponding calculation data source for growth of strawberries and plant diseases and insect pests; the illumination radiation grid model provides a corresponding calculation data source for the strawberry growth model simulation module;
the growth data and the production data of the strawberries calculated by the strawberry growth model simulation module are fed back to the visual three-dimensional module of the Internet of things system on one hand and the visual three-dimensional module of the form on the other hand;
after the form visualization three-dimensional module receives data fed back by the strawberry growth model simulation module, adjusting a strawberry growth form model and a greenhouse and climate environment form model and feeding back corresponding data to the internet of things system visualization three-dimensional module;
the visual three-dimensional module of the Internet of things system receives data information fed back by the strawberry growth model simulation module and the visual three-dimensional module of the form and then feeds the data information back to the strawberry intelligent control simulation module, the process evaluation module and the matrix and environment simulation module of the virtual simulation of the production of the strawberries in the elevated greenhouse.
2. The virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse of claim 1, wherein: the system comprises an Internet of things system visualization three-dimensional module, a network management module and a network management module, wherein the Internet of things system visualization three-dimensional module consists of an Internet of things sensor model, an Internet of things execution mechanism model, an Internet of things transmission model and an intelligent strategy controller; the intelligent facility information acquisition equipment for strawberry production in the conventional elevated greenhouse is simulated by the sensor model of the internet of things, and is used for acquiring data information sent by the form-visualized three-dimensional module and the simulation module of the strawberry production model and sending the data information to the transmission model of the internet of things, the matrix and environment simulation module and the process evaluation module for virtual simulation of strawberry production in the elevated greenhouse; the Internet of things transmission model simulates an Internet of things communication node or gateway equipment, communication protocol simulation is carried out in a transparent transmission mode, data information sent by the Internet of things sensor model and the Internet of things executing mechanism model is collected and fed back to the strawberry intelligent control simulation module, meanwhile, control strategies and instructions sent by the strawberry intelligent control simulation module are received, and the control strategies and instructions are sent to the Internet of things sensor model and the intelligent strategy controller to form control closed-loop negative feedback; the Internet of things executing mechanism model comprises a spraying system, a drip irrigation system, a dehumidifier, a negative pressure fan, a wet curtain system, a fan heater, a sun shading machine, a water and fertilizer all-in-one machine, CO2 application equipment and a light supplement lamp, and is used for providing visual three-dimensional action vision for students, providing a data source for calculating the influence effectiveness of the equipment on a model in a matrix and environment simulation module for a platform, and sending the data source to a process evaluation module, a matrix and environment simulation module for virtual simulation of production of the strawberry in the elevated greenhouse through an Internet of things transmission model and an Internet of things sensor model; the intelligent strategy controller receives the control strategy and the command issued by the intelligent strawberry control simulation module through the transmission model of the Internet of things and sends the control strategy and the command to the execution mechanism model of the Internet of things.
3. The virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse of claim 1, wherein: the process evaluation module of the virtual simulation of the production of the strawberries in the elevated greenhouse comprises a strawberry flower bud prediction module, a strawberry fruit bearing prediction module, a strawberry yield prediction module and a strawberry plant growth prediction module.
4. The virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse of claim 1, wherein: the strawberry growth model simulation module comprises a strawberry pest probability model, a strawberry moisture growth model, a strawberry fertilizer efficiency growth model, a strawberry sugar model and a strawberry illumination growth model.
5. The virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse of claim 4, wherein: the strawberry pest probability model describes strawberry pest and disease damage by adopting pest and disease damage occurrence probability under an environmental state; the normal application period of the strawberry moisture growth model is a limiting factor influence model, and the proper growth period is an accumulation influence model; the base fertilizer of the strawberry fertilizer efficiency growth model is a limiting factor influence model, and the special fertilizer efficiency is an accumulated influence model; the basic sugar of the strawberry sugar model is a limiting factor influence model, and the light supplement part is an accumulated influence model; the basic growth of the strawberry illumination growth model is a limiting factor influence model, and the thickness and the size of the leaves are accumulated influence models.
6. The virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse of claim 1, wherein: the form of the form visualization three-dimensional module is presented in a panoramic and observation window local landscape mode.
7. The virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse of claim 6, wherein: the panorama is characterized in that a 3DMAX is used for establishing five grades of models of the strawberries in the seedling stage, the bud stage, the fruit setting stage, the fruiting stage and the picking stage at different stages, wherein the models are flourishing in leaves, luxuriant in buds and rich in fruits, and are visualized through a growth period regulation factor of the strawberries after Unity3D is introduced; the observation window local landscape independently renders three strawberry models in a seedling stage, a bud stage, a fruit setting stage, a fruiting stage and a picking stage to form visual presentation of plant diseases and insect pests, dynamic flowering and dynamic growth.
8. The virtual simulation platform for the intelligent facility for strawberry production in the elevated greenhouse of claim 1, wherein: the intelligent strawberry control simulation module comprises an intelligent strawberry Internet of things management and control module, a WEB-end-simulated human-computer interaction module and an android-simulated human-computer interaction module; the intelligent strawberry internet of things management and control module is used for carrying out intelligent control strategy planning on the simulated strawberry growth process according to the data collected by the virtual internet of things sensor module; the WEB-like end human-computer interaction module is used for training students to select and issue an intelligent control strategy for the strawberry growth process according to actual growth conditions; and (3) training students to actually control the growth process of the strawberries according to the monitoring and the operation of the mobile phone APP terminal and how to train the related equipment operation processing skills under the condition of system abnormity.
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