CN117148903B - Greenhouse environment regulation and control management method and system - Google Patents
Greenhouse environment regulation and control management method and system Download PDFInfo
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- CN117148903B CN117148903B CN202311423012.0A CN202311423012A CN117148903B CN 117148903 B CN117148903 B CN 117148903B CN 202311423012 A CN202311423012 A CN 202311423012A CN 117148903 B CN117148903 B CN 117148903B
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- 238000007726 management method Methods 0.000 title claims abstract description 26
- 230000008635 plant growth Effects 0.000 claims abstract description 70
- 238000004458 analytical method Methods 0.000 claims abstract description 42
- 238000011217 control strategy Methods 0.000 claims abstract description 15
- 230000007613 environmental effect Effects 0.000 claims description 79
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- G—PHYSICS
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
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Abstract
The application discloses a greenhouse environment regulation and control management method and system, relates to the technical field of greenhouse management, and specifically discloses a three-dimensional greenhouse structure model constructed for a greenhouse, a plurality of plant three-dimensional modules are arranged according to plant landscapes, the arrangement positions and arrangement body quantities of environment influence factor acquisition points are determined, more accurate acquisition of the internal environment conditions of the greenhouse is achieved, future first environment influence factor characteristics are determined according to a first regulation and control strategy, based on vision analysis, a first characteristic state of a plant growth model is determined, based on the first characteristic state and the future first environment influence factor characteristics, a second characteristic state of the plant growth model is determined, and based on the second characteristic state, optimization and parameter adjustment are carried out on the first regulation and control model, the second regulation and control strategy is obtained, and based on a second regulation and control strategy, a driving factor generation device is achieved, more accurate control of the greenhouse environment is achieved, and growth of plants is promoted to the greatest extent.
Description
Technical Field
The invention relates to the technical field of greenhouse management, in particular to a greenhouse environment regulation and control management method.
Background
Greenhouse management methods and systems are important tools in modern plant cultivation to assist in providing a controlled growing environment to promote healthy growth and increase yield of plants. These methods and systems combine science, engineering and technology to meet plant growth requirements, including temperature, humidity, light, illumination,Concentration and air flow.
Most of the existing greenhouse management methods are to preset driving parameters of related devices in a greenhouse by experience to improve environmental conditions in the greenhouse so as to promote plant growth, but the growth of plants cannot be promoted to the maximum degree due to the accuracy of experience.
Disclosure of Invention
The invention aims to provide a greenhouse environment regulation and control management method and system capable of maximally promoting plant growth.
In some embodiments disclosed herein, a greenhouse environment regulation management method is disclosed, comprising:
acquiring greenhouse structure arrangement, and generating a three-dimensional greenhouse structure model according to the greenhouse structure arrangement;
setting a plurality of plant three-dimensional modules aiming at plant landscape arrangement, and configuring the arrangement positions of different plant landscapes on a three-dimensional structure model;
determining the arrangement positions and the arrangement volume of the environmental impact factor acquisition points based on the structural characteristics of the three-dimensional greenhouse structural model and the space occupation characteristics of the plant three-dimensional module;
according to a first regulation strategy of the environmental impact factor generating device and arrangement information in a greenhouse, configuring future first environmental impact factor characteristics for the three-dimensional greenhouse structure model;
determining a corresponding plant growth model according to the variety of the plant landscape, and determining a first characteristic state of the plant growth model according to a visual analysis result of the plant landscape;
analyzing the first characteristic state and the first environmental impact factor characteristics in the future by using the plant growth model, and determining a second characteristic state of the plant growth model in a preset time period in the future;
optimizing and regulating parameters of the first regulation and control strategy based on a second characteristic state of the plant growth model to obtain a second regulation and control strategy;
and driving the environmental impact factor generating device based on the second regulation strategy.
In some embodiments of the present application, a number of plant three-dimensional modules are set for plant landscape arrangement and configured on a three-dimensional structural model for arrangement positions of different plant landscapes:
acquiring structural size information of the plant landscape, and constructing a plant three-dimensional module according to the structural size information of the plant landscape;
aiming at the arrangement position of the plant landscape relative to the greenhouse, the plant three-dimensional mechanism module is configured at the corresponding position of the three-dimensional greenhouse structure model.
In some embodiments of the present application, a method of determining placement locations and placement volumes of environmental impact factor collection points includes:
scanning and analyzing the three-dimensional greenhouse structure model to determine corner structural characteristics of the three-dimensional greenhouse structure and arrangement characteristics of the plant three-dimensional module relative to the three-dimensional greenhouse structure model;
aiming at the plane structure characteristics, the corner structure characteristics and the arrangement characteristics of the plant three-dimensional module relative to the three-dimensional greenhouse structure model, a plurality of environment influence factor acquisition blocks are defined for the three-dimensional greenhouse structure model;
based on finite element analysis of gas flow, determining a planar structural feature, a corner structural feature and a first obstruction degree of the plant three-dimensional module to gas flow respectively;
and analyzing each environmental impact factor acquisition block, and determining the arrangement volume of the environmental impact factor acquisition points according to the first obstruction degree corresponding to the environmental impact factor acquisition blocks.
In some embodiments of the present application, a method of determining a first degree of obstruction to gas flow by a planar structural feature, a corner structural feature, and a plant three-dimensional module comprises:
acquiring the position of the air flow generating device relative to the three-dimensional greenhouse structure model and preset air flow generating parameters, and inputting a gas fluid finite element analysis model for analysis by combining the plane characteristics and corner characteristics of the three-dimensional greenhouse structure model to determine the characteristics of a gas flow field;
analyzing the characteristics of the gas flow field, determining the direction-changing gas flow with the gas flow vector change larger than a preset threshold value, and determining the first relative volume of the direction-changing gas flow in different defined areas;
and determining the first obstruction degree of the planar structural feature, the corner structural feature and the plant three-dimensional module to the gas flow based on the first relative volume of the demarcation block corresponding to the planar structural feature, the corner structural feature and the plant three-dimensional module by the diversion airflow.
In some embodiments of the present application, the expression for determining the placement volume of the environmental impact factor collection points is:
；
wherein,the placement volume of the block is acquired for the nth environmental impact factor,the volume transform coefficients for the nth environmental impact factor acquisition block,the coefficients are transformed for the obstruction level of the nth environmental impact shadow acquisition block,a first relative volume of diverted air flow for the nth environmental impact factor acquisition zone,a second relative volume of non-diverted air flow for the nth environmental impact factor acquisition zone,the constants are adjusted for the volume of the nth environmental impact factor acquisition block.
In some embodiments of the present application, a method of delineating a number of environmental impact factor acquisition blocks for a three-dimensional greenhouse structural model includes:
establishing a virtual three-dimensional coordinate system aiming at the three-dimensional greenhouse structure model, and positioning the three-dimensional greenhouse structure model in the virtual three-dimensional coordinate system;
uniformly defining a plurality of dividing points for an x axis, a y axis and a z axis of a virtual three-dimensional coordinate system respectively, constructing a virtual plane by taking the dividing points as datum points, enabling the virtual plane to be perpendicular to the x axis, the y axis and the z axis respectively, and carrying out coordinate positioning on a unit space formed by intersecting the virtual planes;
marking the mapped unit space in the three-dimensional greenhouse structure model for the first time, and recording the respective positioning coordinates;
performing secondary marking according to the unit space contained in the virtual three-dimensional coordinate system by the plant three-dimensional module, recording respective positioning coordinates, determining an expanded unit space according to the overall layout characteristics of the unit space marked by the secondary marking, and performing tertiary marking on the expanded unit space;
determining a set of unit spaces of the second marker and the third marker as a plant three-dimensional module acquisition block;
marking the unit space mapped in the virtual three-dimensional coordinate system according to corners in the three-dimensional greenhouse structure model for the fourth time, determining the expanded unit space according to corner characteristics, and marking the expanded unit space for the fifth time;
determining the set of the unit spaces of the fourth mark and the fifth mark as an acquisition block needing attention;
and dividing the non-three-dimensional module acquisition blocks and the rest parts of the acquisition blocks which do not need to be concerned in the three-dimensional greenhouse structure model according to a preset block division range to generate a plurality of conventional acquisition blocks.
In some embodiments of the present application,
the method for determining the unit space corresponding to the expansion of the plant three-dimensional module comprises the following steps:
calculating a first number of the unit spaces marked for the second time, and determining a second number of the unit spaces needing to be expanded based on the first number of the unit spaces marked for the second time;
expanding the unit spaces layer by layer towards the outer sides of the unit spaces corresponding to the plant three-dimensional modules until the number of the expanded unit spaces reaches a second number;
the method for determining the unit space of the corresponding expansion of the corner comprises the following steps:
calculating a third number of marked unit spaces for the fourth time, and determining a fourth number of unit spaces to be expanded based on the third number of marked unit spaces;
expanding the unit spaces layer by layer towards the outer sides of the unit spaces corresponding to the corners until the number of the expanded unit spaces reaches a fourth number.
In some embodiments of the present application, the first regulatory strategy comprises:
a time reference line is established, and driving power of the environmental impact factor generating device is configured at different time sections on the time reference line.
In some embodiments of the present application, a method of determining a first characteristic state of a plant growth model from visual analysis of a plant landscape includes:
demarcating an image block of the plant landscape in the real-time shooting image to generate a plant landscape image block;
and (3) carrying out scanning analysis on the plant landscape image block based on a visual analysis technology, determining the plant growth height, the plant growth density and the plant color of the plant landscape, and recognizing the current growth height, the plant growth density and the plant color of the plant landscape as a first characteristic state.
In some embodiments of the present application, based on a second feature of a plant growth model, optimizing a tuning of a first tuning strategy, a method for obtaining a second tuning strategy includes:
dynamically adjusting the driving power, driving time node and driving time length of the environmental impact factor generating device in the first regulation strategy to generate a plurality of second regulation strategies;
configuring future second environmental impact factor characteristics for the three-dimensional greenhouse structure model according to each second regulation strategy, and determining second characteristic states of the plant growth model based on analysis of the first characteristic states and the future second environmental impact factor characteristics by the plant growth model;
and determining the most preferable second regulation strategy based on growth condition evaluation of the second characteristic state of the plant growth model corresponding to the different second regulation strategies.
In some embodiments of the present application, a greenhouse environment regulation management system is also disclosed, comprising:
the three-dimensional model generation module is used for acquiring greenhouse structural arrangement, generating a three-dimensional greenhouse structural model according to the greenhouse structural arrangement, setting a plurality of plant three-dimensional modules aiming at plant landscape arrangement, configuring the three-dimensional model on the three-dimensional structural model, and determining the arrangement positions and the arrangement volume of the environmental impact factor acquisition points based on the structural characteristics of the three-dimensional greenhouse structural model and the space occupation characteristics of the plant three-dimensional modules;
the factor characteristic determining module is used for configuring future first environmental impact factor characteristics for the three-dimensional greenhouse structure model according to a first regulation strategy of the environmental impact factor generating device and arrangement information in the greenhouse;
the first characteristic state analysis module is used for determining a corresponding plant growth model according to the variety of the plant landscape and determining a first characteristic state of the plant growth model according to a visual analysis result of the plant landscape;
the second characteristic state analysis module is used for analyzing the first characteristic state and the first environmental impact factor characteristics in the future by using the plant growth model and determining a second characteristic state of the plant growth model in a preset time period in the future;
and the second regulation strategy generation module is used for optimizing and regulating parameters of the first regulation strategy based on the second characteristic state of the plant growth model to obtain the second regulation strategy.
The application discloses a greenhouse environment regulation and control management method and system, relates to the technical field of greenhouse management, and specifically discloses a three-dimensional greenhouse structure model is built aiming at a greenhouse, a plurality of plant three-dimensional modules are arranged according to plant landscapes, the arrangement positions and arrangement body quantities of environment influence factor acquisition points are determined, more accurate acquisition of the internal environment conditions of the greenhouse is achieved, future first environment influence factor characteristics are determined according to a first regulation and control strategy, the first characteristic state of a plant growth model is determined based on visual analysis, the second characteristic state of the plant growth model is determined based on the first characteristic state and the future first environment influence factor characteristics, the first regulation and control model is optimized and parameter-adjusted based on the second characteristic state, the second regulation and control strategy is obtained, and based on the second regulation and control strategy, a driving factor generation device is driven, so that more accurate control of the greenhouse environment is achieved, and growth of plants is promoted to the greatest extent.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
Fig. 1 is a method step diagram of a greenhouse environment regulation management method disclosed in an embodiment of the present application.
Detailed Description
The technical scheme of the invention is further described below through the attached drawings and the embodiments.
The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments, it being understood that the preferred embodiments described herein are for illustrating and explaining the present invention only and are not to be construed as limiting the scope of the present invention, and that some insubstantial modifications and adaptations can be made by those skilled in the art in light of the following disclosure. In the present invention, unless explicitly specified and defined otherwise, technical terms used in the present application should be construed in a general sense as understood by those skilled in the art to which the present invention pertains.
Examples
In some embodiments disclosed herein, a greenhouse environment regulation management method is disclosed, referring to fig. 1, including:
step S100, acquiring greenhouse structure arrangement, and generating a three-dimensional greenhouse structure model according to the greenhouse structure arrangement.
It is to be understood that at this step, structural arrangement information of the greenhouse is first obtained, including the size, shape, material, etc. of the greenhouse. This information is then used to generate a three-dimensional structural model of the greenhouse for subsequent analysis and optimization.
Step S200, setting a plurality of plant three-dimensional modules aiming at plant landscape arrangement, and configuring the arrangement positions of different plant landscapes on a three-dimensional structure model.
It is to be understood that at this step, the type and arrangement of the plants are determined and a three-dimensional model of a plurality of plants is set. These plant modules are then placed in designated locations on the three-dimensional structural model, simulating the actual distribution of the plants.
Step S300, determining the arrangement positions and the arrangement volume of the environmental impact factor acquisition points based on the structural characteristics of the three-dimensional greenhouse structural model and the space occupation characteristics of the plant three-dimensional module.
It will be appreciated that this step determines the location and placement volume of the collection points of environmental impact factors (such as temperature, humidity, illumination, airflow, etc.) to be monitored, based on greenhouse structure and plant placement. These acquisition points are used to monitor the environmental conditions within the room in real time.
Step S400, according to a first regulation strategy of the environmental impact factor generating device and arrangement information in a greenhouse, configuring future first environmental impact factor characteristics for the three-dimensional greenhouse structure model.
It is understood that the environmental impact factor generating means may refer to some means for improving environmental conditions in the greenhouse, such as lights, ventilation means and humidifying means.
And S500, determining a corresponding plant growth model according to the variety of the plant landscape, and determining a first characteristic state of the plant growth model according to a visual analysis result of the plant landscape.
It will be appreciated that depending on the variety and arrangement of the plants, a growth model suitable for the different plants is determined. Then, a first characteristic state of the plant growth model, i.e., a current state of the plant, is determined based on the visual analysis result.
And S600, analyzing the first characteristic state and the first environmental impact factor characteristics in the future by using the plant growth model, and determining a second characteristic state of the plant growth model in a preset time period in the future.
It is to be understood that the second characteristic state of the plant in the future preset time period, i.e. the growth condition of the plant, is predicted by analyzing the plant growth model based on the first characteristic state and the future first environmental impact factor characteristic.
Step S700, optimizing and adjusting parameters of the first regulation strategy based on the second characteristic state of the plant growth model to obtain a second regulation strategy.
It is to be understood that the first regulation strategy is optimized and parametrized based on the second feature of the plant growth model to formulate a second regulation strategy to better meet the growth needs of the plant.
Step S800, driving the environment influence factor generating device based on the second regulation strategy.
In some embodiments of the present application, a number of plant three-dimensional modules are set for plant landscape arrangement and configured on a three-dimensional structural model for arrangement positions of different plant landscapes:
the method comprises the steps of firstly, obtaining structural dimension information of plant landscapes, and constructing a plant three-dimensional module according to the structural dimension information of the plant landscapes.
Secondly, aiming at the arrangement position of the plant landscape relative to the greenhouse, the plant three-dimensional mechanism module is configured at the corresponding position of the three-dimensional greenhouse structure model.
In some embodiments of the present application, a method of determining placement locations and placement volumes of environmental impact factor collection points includes:
the first step, scanning and analyzing the three-dimensional greenhouse structure model to determine the corner structure characteristics of the three-dimensional greenhouse structure and the arrangement characteristics of the plant three-dimensional modules relative to the three-dimensional greenhouse structure model.
Secondly, defining a plurality of environment influence factor acquisition blocks for the three-dimensional greenhouse structure model according to the plane structure characteristics, the corner structure characteristics and the arrangement characteristics of the plant three-dimensional modules relative to the three-dimensional greenhouse structure model.
And thirdly, respectively determining the plane structural characteristics, the corner structural characteristics and the first obstruction degree of the plant three-dimensional module to the gas flow based on finite element analysis of the gas flow.
And fourthly, analyzing each environmental impact factor acquisition block, and determining the arrangement volume of the environmental impact factor acquisition points according to the first obstruction degree corresponding to the environmental impact factor acquisition blocks.
In some embodiments of the present application, a method of determining a first degree of obstruction to gas flow by a planar structural feature, a corner structural feature, and a plant three-dimensional module comprises:
the method comprises the steps of firstly, acquiring the position of an airflow generating device relative to a three-dimensional greenhouse structure model and preset airflow generating parameters, and inputting a gas fluid finite element analysis model for analysis by combining the plane characteristics and corner characteristics of the three-dimensional greenhouse structure model to determine the characteristics of a gas flow field.
At this stage, the position and parameters of the airflow generating device, including the speed, direction, etc. of the airflow are first obtained. These parameters are then combined with the planar features and corner features of the three-dimensional greenhouse structure model, and a finite element analysis model of the gas fluid is input. Through simulation analysis, the characteristics of the gas flow field are determined, including information such as gas speed, pressure, flow lines and the like.
And secondly, analyzing the characteristics of the gas flow field, determining the turning gas flow with the gas flow vector change larger than a preset threshold value, and determining the first relative volume of the turning gas flow in different demarcation zones.
At this step, the simulated gas flow field characteristics are analyzed. Of particular concern is the occurrence of a redirected gas flow in the gas flow that changes direction by an angle greater than a preset threshold. A first relative volume of the redirected air streams within the differently delineated zones, i.e., the volume of space occupied by the redirected air streams within the zones, is determined.
And thirdly, determining the first obstruction degree of the plane structural feature, the corner structural feature and the plant three-dimensional module to the gas flow based on the first relative volume of the demarcation block corresponding to the plane structural feature, the corner structural feature and the plant three-dimensional module by the diversion airflow.
At this stage, a planar structural feature, a corner structural feature, and a first degree of obstruction to gas flow by the plant three-dimensional module are determined based on the first relative volumes of diverted gas flow within each of the defined zones, respectively. This can be done by analyzing the degree of obstruction within each block, including the degree and direction of obstruction of the gas flow within the block, to determine the degree of influence of different features on the gas flow.
In some embodiments of the present application, the expression for determining the placement volume of the environmental impact factor collection points is:
；
wherein,acquisition block for nth environmental impact factorIs arranged in the arrangement volume of the device,the volume transform coefficients for the nth environmental impact factor acquisition block,the coefficients are transformed for the obstruction level of the nth environmental impact shadow acquisition block,a first relative volume of diverted air flow for the nth environmental impact factor acquisition zone,a second relative volume of non-diverted air flow for the nth environmental impact factor acquisition zone,the constants are adjusted for the volume of the nth environmental impact factor acquisition block.
In some embodiments of the present application, a method of delineating a number of environmental impact factor acquisition blocks for a three-dimensional greenhouse structural model includes:
first, a virtual three-dimensional coordinate system is established for the three-dimensional greenhouse structure model, and the three-dimensional greenhouse structure model is positioned in the virtual three-dimensional coordinate system.
And secondly, uniformly defining a plurality of dividing points for an x axis, a y axis and a z axis of the virtual three-dimensional coordinate system, constructing a virtual plane by taking the dividing points as datum points, respectively perpendicular to the x axis, the y axis and the z axis, and carrying out coordinate positioning on a unit space formed by intersecting the virtual planes.
Thirdly, marking the mapped unit space in the three-dimensional greenhouse structure model for the first time, and recording the respective positioning coordinates.
And fourthly, marking the unit space in the virtual three-dimensional coordinate system for the second time according to the unit space contained in the plant three-dimensional module, recording the respective positioning coordinates, determining the expanded unit space according to the overall layout characteristics of the unit space marked for the second time, and marking the expanded unit space for the third time.
And fifthly, determining the set of the unit spaces of the second marker and the third marker as a plant three-dimensional module acquisition block.
And sixthly, marking the unit space mapped in the virtual three-dimensional coordinate system according to the corners in the three-dimensional greenhouse structure model for the fourth time, determining the expanded unit space according to the corner characteristics, and marking the expanded unit space for the fifth time.
Seventh, the collection of the unit spaces of the fourth mark and the fifth mark is determined as the acquisition block to be focused.
Eighth, according to a preset block division range, dividing a non-three-dimensional module acquisition block and the rest part of the acquisition block which does not need to be concerned in the three-dimensional greenhouse structure model to generate a plurality of conventional acquisition blocks.
In some embodiments of the present application, a method for determining a unit space corresponding to an expansion of a plant three-dimensional module includes:
the first step is to calculate a first number of the second marked unit spaces and to determine a second number of unit spaces to be expanded based on the first number of the second marked unit spaces.
And secondly, expanding the unit spaces layer by layer to the outer sides of the unit spaces corresponding to the plant three-dimensional modules until the number of the expanded unit spaces reaches a second number.
The method for determining the unit space of the corresponding expansion of the corner comprises the following steps:
in a first step, a third number of fourth marked cell spaces is calculated, and a fourth number of cell spaces to be expanded is determined based on the third number of third marked cell spaces.
And step two, expanding the unit spaces layer by layer towards the outer sides of the unit spaces corresponding to the corners until the number of the expanded unit spaces reaches a fourth number.
In some embodiments of the present application, the first regulatory strategy comprises: a time reference line is established, and driving power of the environmental impact factor generating device is configured at different time sections on the time reference line.
In some embodiments of the present application, a method of determining a first characteristic state of a plant growth model from visual analysis of a plant landscape includes:
firstly, demarcating an image block of a plant landscape in a real-time shooting image to generate the plant landscape image block.
At this step, a visual analysis is performed on the plant landscape image block. Using computer vision techniques, the growth height of a plant can be measured, for example, by detecting the top and bottom of the plant. Meanwhile, the growth density of plants, i.e., the number of plants per unit area, can be estimated. In addition, the color of the plant can be identified, and the health state of the plant can be determined through color analysis.
And secondly, carrying out scanning analysis on the plant landscape image block based on a visual analysis technology, determining the plant growth height, the plant growth density and the plant color of the plant landscape, and recognizing the current growth height, the plant growth density and the plant color of the plant landscape as a first characteristic state.
These measured values and color information are regarded as first feature states. This feature state can be used to describe the current state of the plant landscape, including the growth height, density and color of the plant, which information is of importance to the health and growth state of the plant.
In some embodiments of the present application, based on a second feature of a plant growth model, optimizing a tuning of a first tuning strategy, a method for obtaining a second tuning strategy includes:
the method comprises the steps of firstly, dynamically adjusting driving power, driving time nodes and driving time length of an environmental impact factor generating device in a first regulation strategy to generate a plurality of second regulation strategies.
And secondly, configuring future second environmental impact factor characteristics for the three-dimensional greenhouse structural model according to each second regulation strategy, and determining the second characteristic state of the plant growth model based on analysis of the first characteristic state and the future second environmental impact factor characteristics by the plant growth model.
And thirdly, determining the most preferable second regulation strategy based on growth condition evaluation of the second characteristic state of the plant growth model corresponding to the different second regulation strategies.
In some embodiments of the present application, a greenhouse environment regulation management system is also disclosed, comprising:
the three-dimensional model generation module is used for acquiring greenhouse structural arrangement, generating a three-dimensional greenhouse structural model according to the greenhouse structural arrangement, setting a plurality of plant three-dimensional modules aiming at plant landscape arrangement, configuring the three-dimensional model on the three-dimensional structural model, and determining the arrangement positions and the arrangement volume of the environmental impact factor acquisition points based on the structural characteristics of the three-dimensional greenhouse structural model and the space occupation characteristics of the plant three-dimensional modules.
The factor characteristic determining module is used for configuring future first environmental impact factor characteristics for the three-dimensional greenhouse structure model according to a first regulation strategy of an environmental impact factor generating device (means such as a light lamp and a ventilation device in a greenhouse) and arrangement information in the greenhouse.
The first characteristic state analysis module is used for determining a corresponding plant growth model according to the variety of the plant landscape and determining the first characteristic state of the plant growth model according to the visual analysis result of the plant landscape.
And the second characteristic state analysis module is used for analyzing the first characteristic state and the first environmental impact factor characteristics in the future by using the plant growth model and determining the second characteristic state of the plant growth model in a preset time period in the future.
And the second regulation strategy generation module is used for optimizing and regulating parameters of the first regulation strategy based on the second characteristic state of the plant growth model to obtain the second regulation strategy.
From the above description of the embodiments, it will be clear to those skilled in the art that the present invention may be implemented in hardware, or may be implemented by means of software plus necessary general hardware platforms. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and includes several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective implementation scenario of the present invention.
The application discloses a greenhouse environment regulation and control management method and system, relates to the technical field of greenhouse management, and specifically discloses a three-dimensional greenhouse structure model is built aiming at a greenhouse, a plurality of plant three-dimensional modules are arranged according to plant landscapes, the arrangement positions and arrangement body quantities of environment influence factor acquisition points are determined, more accurate acquisition of the internal environment conditions of the greenhouse is achieved, future first environment influence factor characteristics are determined according to a first regulation and control strategy, the first characteristic state of a plant growth model is determined based on visual analysis, the second characteristic state of the plant growth model is determined based on the first characteristic state and the future first environment influence factor characteristics, the first regulation and control model is optimized and parameter-adjusted based on the second characteristic state, the second regulation and control strategy is obtained, and based on the second regulation and control strategy, a driving factor generation device is driven, so that more accurate control of the greenhouse environment is achieved, and growth of plants is promoted to the greatest extent.
From the above description of the embodiments, it will be clear to those skilled in the art that the present invention may be implemented in hardware, or may be implemented by means of software plus necessary general hardware platforms. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and includes several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective implementation scenario of the present invention.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting it, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that: the technical scheme of the invention can be modified or replaced by the same, and the modified technical scheme cannot deviate from the spirit and scope of the technical scheme of the invention.
Claims (7)
1. A greenhouse environment regulation and control management method, characterized by comprising:
acquiring greenhouse structure arrangement, and generating a three-dimensional greenhouse structure model according to the greenhouse structure arrangement;
setting a plurality of plant three-dimensional modules aiming at plant landscape arrangement, and configuring the arrangement positions of different plant landscapes on a three-dimensional structure model;
determining the arrangement positions and the arrangement volume of the environmental impact factor acquisition points based on the structural characteristics of the three-dimensional greenhouse structural model and the space occupation characteristics of the plant three-dimensional module;
according to a first regulation strategy of the environmental impact factor generating device and arrangement information in a greenhouse, configuring future first environmental impact factor characteristics for the three-dimensional greenhouse structure model;
determining a corresponding plant growth model according to the variety of the plant landscape, and determining a first characteristic state of the plant growth model according to a visual analysis result of the plant landscape;
analyzing the first characteristic state and the first environmental impact factor characteristics in the future by using the plant growth model, and determining a second characteristic state of the plant growth model in a preset time period in the future;
optimizing and regulating parameters of the first regulation and control strategy based on a second characteristic state of the plant growth model to obtain a second regulation and control strategy;
driving an environmental impact factor generating device based on a second regulation strategy;
the method for determining the arrangement position and the arrangement volume of the environmental impact factor acquisition points comprises the following steps:
scanning and analyzing the three-dimensional greenhouse structure model to determine corner structural characteristics of the three-dimensional greenhouse structure and arrangement characteristics of the plant three-dimensional module relative to the three-dimensional greenhouse structure model;
aiming at the plane structure characteristics, the corner structure characteristics and the arrangement characteristics of the plant three-dimensional module relative to the three-dimensional greenhouse structure model, a plurality of environment influence factor acquisition blocks are defined for the three-dimensional greenhouse structure model;
based on finite element analysis of gas flow, determining a planar structural feature, a corner structural feature and a first obstruction degree of the plant three-dimensional module to gas flow respectively;
analyzing each environmental impact factor acquisition block, and determining the arrangement volume of the environmental impact factor acquisition points according to the first obstruction degree corresponding to the environmental impact factor acquisition blocks;
the method for defining a plurality of environment influence factor acquisition blocks for the three-dimensional greenhouse structure model comprises the following steps:
establishing a virtual three-dimensional coordinate system aiming at the three-dimensional greenhouse structure model, and positioning the three-dimensional greenhouse structure model in the virtual three-dimensional coordinate system;
uniformly defining a plurality of dividing points for an x axis, a y axis and a z axis of a virtual three-dimensional coordinate system respectively, constructing a virtual plane by taking the dividing points as datum points, enabling the virtual plane to be perpendicular to the x axis, the y axis and the z axis respectively, and carrying out coordinate positioning on a unit space formed by intersecting the virtual planes;
marking the mapped unit space in the three-dimensional greenhouse structure model for the first time, and recording the respective positioning coordinates;
performing secondary marking according to the unit space contained in the virtual three-dimensional coordinate system by the plant three-dimensional module, recording respective positioning coordinates, determining an expanded unit space according to the overall layout characteristics of the unit space marked by the secondary marking, and performing tertiary marking on the expanded unit space;
determining a set of unit spaces of the second marker and the third marker as a plant three-dimensional module acquisition block;
marking the unit space mapped in the virtual three-dimensional coordinate system according to corners in the three-dimensional greenhouse structure model for the fourth time, determining the expanded unit space according to corner characteristics, and marking the expanded unit space for the fifth time;
determining the set of the unit spaces of the fourth mark and the fifth mark as an acquisition block needing attention;
dividing a non-three-dimensional module acquisition block and the rest part of the acquisition block which does not need to be concerned in the three-dimensional greenhouse structure model according to a preset block division range to generate a plurality of conventional acquisition blocks;
the method for determining the unit space corresponding to the expansion of the plant three-dimensional module comprises the following steps:
calculating a first number of the unit spaces marked for the second time, and determining a second number of the unit spaces needing to be expanded based on the first number of the unit spaces marked for the second time;
expanding the unit spaces layer by layer towards the outer sides of the unit spaces corresponding to the plant three-dimensional modules until the number of the expanded unit spaces reaches a second number;
the method for determining the unit space of the corresponding expansion of the corner comprises the following steps:
calculating a third number of marked unit spaces for the fourth time, and determining a fourth number of unit spaces to be expanded based on the third number of marked unit spaces;
expanding the unit spaces layer by layer towards the outer sides of the unit spaces corresponding to the corners until the number of the expanded unit spaces reaches a fourth number.
2. The greenhouse environment regulation and control management method according to claim 1, wherein the method for determining the first degree of obstruction to the gas flow by the planar structural feature, the corner structural feature and the plant three-dimensional module comprises:
acquiring the position of the air flow generating device relative to the three-dimensional greenhouse structure model and preset air flow generating parameters, and inputting a gas fluid finite element analysis model for analysis by combining the plane characteristics and corner characteristics of the three-dimensional greenhouse structure model to determine the characteristics of a gas flow field;
analyzing the characteristics of the gas flow field, determining the direction-changing gas flow with the gas flow vector change larger than a preset threshold value, and determining the first relative volume of the direction-changing gas flow in different defined areas;
and determining the first obstruction degree of the planar structural feature, the corner structural feature and the plant three-dimensional module to the gas flow based on the first relative volume of the demarcation block corresponding to the planar structural feature, the corner structural feature and the plant three-dimensional module by the diversion airflow.
3. The greenhouse environment regulation management method according to claim 2, wherein the expression for determining the arrangement volume of the environmental impact factor collection points is:
；
wherein,the placement volume of the block is acquired for the nth environmental impact factor,the volume transform coefficients for the nth environmental impact factor acquisition block,the coefficients are transformed for the obstruction level of the nth environmental impact shadow acquisition block,a first relative volume of diverted air flow for the nth environmental impact factor acquisition zone,a second relative volume of non-diverted air flow for the nth environmental impact factor acquisition zone,the constants are adjusted for the volume of the nth environmental impact factor acquisition block.
4. The greenhouse environment regulation management method according to claim 1, wherein the first regulation strategy comprises:
a time reference line is established, and driving power of the environmental impact factor generating device is configured at different time sections on the time reference line.
5. The greenhouse environment regulation and control management method according to claim 1, wherein the method for determining the first characteristic state of the plant growth model according to the visual analysis result of the plant landscape comprises:
demarcating an image block of the plant landscape in the real-time shooting image to generate a plant landscape image block;
and (3) carrying out scanning analysis on the plant landscape image block based on a visual analysis technology, determining the plant growth height, the plant growth density and the plant color of the plant landscape, and recognizing the current growth height, the plant growth density and the plant color of the plant landscape as a first characteristic state.
6. The greenhouse environment regulation and control management method according to claim 1, wherein the method for optimizing the first regulation and control strategy based on the second characteristic state of the plant growth model to obtain the second regulation and control strategy comprises:
dynamically adjusting the driving power, driving time node and driving time length of the environmental impact factor generating device in the first regulation strategy to generate a plurality of second regulation strategies;
configuring future second environmental impact factor characteristics for the three-dimensional greenhouse structure model according to each second regulation strategy, and determining second characteristic states of the plant growth model based on analysis of the first characteristic states and the future second environmental impact factor characteristics by the plant growth model;
and determining the most preferable second regulation strategy based on growth condition evaluation of the second characteristic state of the plant growth model corresponding to the different second regulation strategies.
7. A greenhouse environment regulation management system for operating the greenhouse environment regulation management method of claim 1, comprising:
the three-dimensional model generation module is used for acquiring greenhouse structural arrangement, generating a three-dimensional greenhouse structural model according to the greenhouse structural arrangement, setting a plurality of plant three-dimensional modules aiming at plant landscape arrangement, configuring the three-dimensional model on the three-dimensional structural model, and determining the arrangement positions and the arrangement volume of the environmental impact factor acquisition points based on the structural characteristics of the three-dimensional greenhouse structural model and the space occupation characteristics of the plant three-dimensional modules;
the factor characteristic determining module is used for configuring future first environmental impact factor characteristics for the three-dimensional greenhouse structure model according to a first regulation strategy of the environmental impact factor generating device and arrangement information in the greenhouse;
the first characteristic state analysis module is used for determining a corresponding plant growth model according to the variety of the plant landscape and determining a first characteristic state of the plant growth model according to a visual analysis result of the plant landscape;
the second characteristic state analysis module is used for analyzing the first characteristic state and the first environmental impact factor characteristics in the future by using the plant growth model and determining a second characteristic state of the plant growth model in a preset time period in the future;
and the second regulation strategy generation module is used for optimizing and regulating parameters of the first regulation strategy based on the second characteristic state of the plant growth model to obtain the second regulation strategy.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109635347A (en) * | 2018-11-15 | 2019-04-16 | 江苏农林职业技术学院 | A kind of overhead Strawberry in Greenhouse production of intelligent facility virtual emulation platform |
| CN110187688A (en) * | 2019-06-14 | 2019-08-30 | 青岛农业大学 | Industrialized agriculture intelligence liquid manure integral control system and control method |
| CN111931439A (en) * | 2020-08-11 | 2020-11-13 | 上海市农业科学院 | Greenhouse temperature field distribution simulation method for introducing plant three-dimensional structure model in situ |
| CN116507004A (en) * | 2022-01-19 | 2023-07-28 | 富联精密电子(天津)有限公司 | Plant illumination adjustment method, electronic device and storage medium |
| CN116862701A (en) * | 2023-07-04 | 2023-10-10 | 中国科学院空天信息创新研究院 | Method and device for constructing crop growth model |
Family Cites Families (1)
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109635347A (en) * | 2018-11-15 | 2019-04-16 | 江苏农林职业技术学院 | A kind of overhead Strawberry in Greenhouse production of intelligent facility virtual emulation platform |
| CN110187688A (en) * | 2019-06-14 | 2019-08-30 | 青岛农业大学 | Industrialized agriculture intelligence liquid manure integral control system and control method |
| CN111931439A (en) * | 2020-08-11 | 2020-11-13 | 上海市农业科学院 | Greenhouse temperature field distribution simulation method for introducing plant three-dimensional structure model in situ |
| CN116507004A (en) * | 2022-01-19 | 2023-07-28 | 富联精密电子(天津)有限公司 | Plant illumination adjustment method, electronic device and storage medium |
| CN116862701A (en) * | 2023-07-04 | 2023-10-10 | 中国科学院空天信息创新研究院 | Method and device for constructing crop growth model |
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