CN116796569B - Greenhouse environment regulation and control system and method - Google Patents
Greenhouse environment regulation and control system and method Download PDFInfo
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Abstract
The invention relates to the technical field of intelligent cultivation, and particularly discloses a greenhouse environment regulation and control system and a greenhouse environment regulation and control method, wherein the method comprises the steps of establishing a three-dimensional model, and determining heat source points and influence areas thereof in the three-dimensional model according to heat pump parameters; receiving acquisition density input by a user, and determining acquisition points according to the acquisition density and the influence area; receiving data acquired by the acquisition points in real time, and determining abnormal acquisition points and conduction characteristics thereof according to the acquired data; the conduction characteristics are used for representing the conduction direction and conduction parameters of the data; and comparing the data of the influence area with the data of the abnormal acquisition points and the conduction characteristics of the data, matching a target heat source point, and determining a working instruction of the target heat source point. According to the invention, environmental parameters in a greenhouse are acquired through preset acquisition equipment, on the basis, the conduction characteristics of each acquisition point are calculated, and the working instructions of related adjustment equipment are determined together by combining the environmental parameters and the conduction characteristics; the greater the number of collection points, the more accurate the conditioning process.
Description
Technical Field
The invention relates to the technical field of intelligent cultivation, in particular to a greenhouse environment regulation and control system and method.
Background
The greenhouse comprises a warming greenhouse and a non-warming sunlight greenhouse, and is the best place for cultivating temperature-loving vegetable seedlings in the cold season in the north due to large space, more solar heat energy received in the daytime, large heat capacity and good thermal insulation facilities at night.
Along with the development of sensor technology and Internet of things technology, the intelligent degree of the greenhouse is increased, and the existing intelligent greenhouse can adjust related environment adjusting equipment in real time according to the temperature and humidity in the greenhouse, so that the stability in the greenhouse is ensured; however, the air flows in the greenhouse are actually turbulent, and their conduction process is extremely complex, for example, high-temperature air is always circulated above the greenhouse, when the sensor is arranged above, the temperature is detected to be too high, and the cooling process is performed, and at this time, the plants below are in an unbalanced environment state.
Therefore, how to provide a more refined dynamic greenhouse environment adjustment scheme is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide a greenhouse environment regulation system and a greenhouse environment regulation method, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a greenhouse environment regulation method, the method comprising:
establishing a three-dimensional model corresponding to a greenhouse, and determining a heat source point and an influence area thereof in the three-dimensional model according to preset heat pump parameters;
receiving acquisition density input by a user, and determining acquisition points according to the acquisition density and the influence area;
receiving data acquired by the acquisition points in real time, and determining abnormal acquisition points and conduction characteristics thereof according to the acquired data; the conduction characteristics are used for representing the conduction direction and conduction parameters of the data;
and comparing the data of the influence area with the data of the abnormal acquisition points and the conduction characteristics of the data, matching a target heat source point, and determining a working instruction of the target heat source point.
As a further scheme of the invention: the step of establishing a three-dimensional model corresponding to the greenhouse, and determining a heat source point and an influence area thereof in the three-dimensional model according to preset heat pump parameters comprises the following steps:
acquiring size information and material information of a greenhouse, and establishing a basic model according to the size information and the material information;
acquiring historical change data under each environmental parameter, and inserting exchange points into the basic model according to the historical change data to obtain a three-dimensional model group;
acquiring current environment parameters in real time, and matching a target three-dimensional model according to the current environment parameters;
inquiring heat pump parameters and installation positions thereof, and determining heat source points according to the installation positions;
and inputting a three-dimensional model containing a heat source point and an exchange point and the heat pump parameters into a preset simulation model, and determining an influence area.
As a further scheme of the invention: the step of receiving the acquisition density input by the user and determining the acquisition point according to the acquisition density and the influence area comprises the following steps:
receiving acquisition density input by a user, and determining acquisition points in a three-dimensional model according to the acquisition density;
reading the influence areas corresponding to the heat source points, and calculating intersection areas of the heat source points;
and adjusting the acquisition points according to the distribution condition of the intersection area.
As a further scheme of the invention: the step of receiving the data acquired by the acquisition point in real time and determining the abnormal acquisition point and the conduction characteristics thereof according to the acquired data comprises the following steps:
receiving data acquired by an acquisition point in real time; the data is a vector, and the vector comprises coordinate information and temperature;
comparing the data of each acquisition point with preset data conditions to determine an abnormal acquisition point;
and calculating the conduction characteristics of each acquisition point in the abnormal acquisition points based on a preset vector operation model.
As a further scheme of the invention: the step of calculating the conduction characteristics of each acquisition point in the abnormal acquisition points based on the preset vector operation model comprises the following steps:
selecting a target acquisition point from the abnormal acquisition points according to a preset traversal sequence;
determining Gao Weiqiu by taking a target acquisition point as a center and taking a preset numerical value as a radius;
calculating conduction characteristics according to a preset vector calculation formula;
the vector calculation formula is as follows:
wherein x is a vector centered on the target acquisition point; x is x i Is the vector of the ith acquisition point in Gao Weiqiu centered on the target acquisition point; h is the radius of Gao Weiqiu; g (t) = -f' (t), f (t) being a gaussian kernel function.
As a further scheme of the invention: the step of comparing the data of the influence area and the abnormal acquisition point and the conduction characteristics thereof, matching a target heat source point and determining a working instruction of the target heat source point comprises the following steps:
reading a three-dimensional model according to a preset backtracking period;
dividing the three-dimensional model according to a preset detection grid, and determining detection points;
counting all conduction characteristics at each detection point at each moment, and calculating combined conduction characteristics;
inquiring data of an acquisition point closest to the detection point, and determining a point position to be regulated and regulating parameters thereof according to the data and the combined conduction characteristics;
inquiring an influence area corresponding to the point to be regulated, matching a target heat source point, and determining a working instruction of the target heat source point according to the regulating parameter.
The technical scheme of the invention also provides a greenhouse environment regulation system, which comprises:
the modeling module is used for establishing a three-dimensional model corresponding to the greenhouse, and determining heat source points and influence areas thereof in the three-dimensional model according to preset heat pump parameters;
the acquisition point determining module is used for receiving acquisition density input by a user and determining acquisition points according to the acquisition density and the influence area;
the conduction analysis module is used for receiving the data acquired by the acquisition points in real time and determining abnormal acquisition points and conduction characteristics thereof according to the acquired data; the conduction characteristics are used for representing the conduction direction and conduction parameters of the data;
and the comparison and matching module is used for comparing the data of the influence area and the abnormal acquisition points and the conduction characteristics thereof, matching a target heat source point and determining a working instruction of the target heat source point.
As a further scheme of the invention: the modeling module includes:
the building unit of basic model, is used for obtaining the size information and material information of the greenhouse, set up the basic model according to said size information and material information;
the exchange point inserting unit is used for acquiring historical change data under each environmental parameter, and inserting exchange points into the basic model according to the historical change data to obtain a three-dimensional model group;
the target matching unit is used for acquiring current environment parameters in real time and matching a target three-dimensional model according to the current environment parameters;
the heat source point determining unit is used for inquiring the heat pump parameters and the installation positions thereof and determining heat source points according to the installation positions;
and the influence area determining unit is used for inputting the three-dimensional model containing the heat source points and the exchange points and the heat pump parameters into a preset simulation model to determine an influence area.
As a further scheme of the invention: the acquisition point determining module comprises:
the acquisition point determining unit is used for receiving acquisition density input by a user and determining acquisition points in the three-dimensional model according to the acquisition density;
the intersection calculating unit is used for reading the influence areas corresponding to the heat source points and calculating the intersection areas;
and the acquisition point adjusting unit is used for adjusting the acquisition points according to the distribution condition of the intersection area.
As a further scheme of the invention: the conductivity analysis module includes:
the data receiving unit is used for receiving the data acquired by the acquisition point in real time; the data is a vector, and the vector comprises coordinate information and temperature;
the abnormality judging unit is used for comparing the data of each acquisition point with preset data conditions to determine an abnormal acquisition point;
and the calculation execution unit is used for calculating the conduction characteristics of each acquisition point in the abnormal acquisition points based on a preset vector operation model.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, environmental parameters in a greenhouse are acquired through preset acquisition equipment, on the basis, the conduction characteristics of each acquisition point are calculated, and the working instructions of related adjustment equipment are determined together by combining the environmental parameters and the conduction characteristics; the more the number of the acquisition points is, the more accurate the adjustment process is, and the refinement degree is extremely high.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
FIG. 1 is a flow chart of a greenhouse environment control method.
FIG. 2 is a first sub-flowchart of a greenhouse environment control method.
FIG. 3 is a second sub-flowchart of the greenhouse environment conditioning method.
FIG. 4 is a third sub-flowchart of the greenhouse environment control method.
FIG. 5 is a fourth sub-flowchart of the greenhouse environment control method.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
FIG. 1 is a flow chart of a greenhouse environment control method, in an embodiment of the invention, a greenhouse environment control method, the method includes:
step S100: establishing a three-dimensional model corresponding to a greenhouse, and determining a heat source point and an influence area thereof in the three-dimensional model according to preset heat pump parameters;
one implementation scene of the technical scheme of the invention is as follows: the temperature and humidity of the environment in the greenhouse are regulated and controlled by an air energy heat pump to carry out industrial seedling raising; at this time, the greenhouse is a seedling raising place which is generally closed and is provided with a plurality of environmental saving devices for adjusting the temperature and humidity of the air; the temperature and humidity adjusting process is similar, the humidity adjusting process is more uniform in general, and the temperature adjusting process is more difficult (because the density difference between the hot air and the cold air is larger), so the temperature adjusting process is mainly analyzed by the technical scheme of the invention.
According to the building data of the greenhouse, a three-dimensional model can be built, a heat pump is pre-installed in the building process of the greenhouse, the position of the heat pump is fixed, the working process of the heat pump can be predicted, and the influence area of the heat pump can be determined in the existing heat transfer simulation model; in general, the impact area is a function of distance, and the heat pump has different impact amplitudes on different distances.
Step S200: receiving acquisition density input by a user, and determining acquisition points according to the acquisition density and the influence area;
acquisition density is entered by a user, typically referred to as a staff member; the larger the collection density is, the more collection equipment needs to be installed in the greenhouse; specifically, the installation point is required to be determined by the collection density and the influence area of the heat pump together, and is called a collection point.
Step S300: receiving data acquired by the acquisition points in real time, and determining abnormal acquisition points and conduction characteristics thereof according to the acquired data; the conduction characteristics are used for representing the conduction direction and conduction parameters of the data;
receiving the data acquired by the acquisition points in real time, wherein the acquired data represents real data of temperature, for example, if a temperature sensor is installed at the acquisition points, the acquired data is the temperature, and according to the acquired data, the acquisition points can be judged to be in an abnormal state; on this basis, the technical solution of the invention also considers its conduction characteristics, which are used to indicate in which direction the temperature at that point will conduct, the conduction rate, etc.
Step S400: comparing the data of the influence area with the data of the abnormal acquisition points and the conduction characteristics of the data, matching a target heat source point, and determining a working instruction of the target heat source point;
the data of the abnormal acquisition points and the conduction characteristics thereof can determine which areas in the greenhouse need to be adjusted and the adjustment amplitude, and the heat pump corresponding to the areas needing to be adjusted is inquired, and the working instruction is determined according to the adjustment amplitude.
Fig. 2 is a first sub-flowchart of a greenhouse environment control method, wherein the step of establishing a three-dimensional model corresponding to a greenhouse, and determining a heat source point and an influence area thereof in the three-dimensional model according to preset heat pump parameters includes:
step S101: acquiring size information and material information of a greenhouse, and establishing a basic model according to the size information and the material information;
acquiring size information of a greenhouse, and establishing a basic model; the outer wall of the greenhouse is generally made of heat insulation materials, so that material information is required to be obtained and added to the basic model.
Step S102: acquiring historical change data under each environmental parameter, and inserting exchange points into the basic model according to the historical change data to obtain a three-dimensional model group;
under different environmental parameters (external temperature and humidity), the data change condition in the greenhouse is called historical change data; if in winter, the temperature falling speed is fast, at this time, an exchange point can be inserted into the basic model, so that the data interaction between the greenhouse and the outside occurs, and the reality of the simulation process is improved; each type of environmental parameter corresponds to a three-dimensional model, and parameters of exchange points in different three-dimensional models are different.
Step S103: acquiring current environment parameters in real time, and matching a target three-dimensional model according to the current environment parameters;
the current environmental parameters are obtained, and the corresponding three-dimensional model can be queried.
Step S104: inquiring heat pump parameters and installation positions thereof, and determining heat source points according to the installation positions;
the heat pump is recorded during installation, and heat source points can be determined in the three-dimensional model by inquiring heat pump parameters (mainly power) and installation positions during installation.
Step S105: inputting a three-dimensional model containing a heat source point and an exchange point and the heat pump parameters into a preset simulation model, and determining an influence area;
after the heat source points and the exchange points are determined in the three-dimensional model, the heat pump parameters are combined, an influence area can be determined by means of the existing simulation model, and the influence area reflects the influence degree of the heat pump on each position in the greenhouse.
FIG. 3 is a block diagram of a second sub-process of a greenhouse environment control method, wherein the step of receiving the acquisition density input by the user and determining the acquisition point according to the acquisition density and the influence area comprises the steps of:
step S201: receiving acquisition density input by a user, and determining acquisition points in a three-dimensional model according to the acquisition density;
the acquisition density input by a user is received, the larger the acquisition density is, the more the number of acquisition points is, and the acquisition points are uniform in the initial determination process.
Step S202: reading the influence areas corresponding to the heat source points, and calculating intersection areas of the heat source points;
and reading the influence areas corresponding to the heat source points, judging whether the influence areas corresponding to the heat source points have intersections, if so, obtaining an intersection area, and if not, obtaining the intersection as null.
Step S203: adjusting the acquisition points according to the distribution condition of the intersection area;
the influence factors of the intersection area are multiple, so that more detection resources are needed to be input; and under the condition that the total number of the acquisition points is the same, fine tuning the positions of the acquisition points according to the intersection area.
FIG. 4 is a third sub-flowchart of a greenhouse environment control method, wherein the steps of receiving data acquired by an acquisition point in real time, and determining an abnormal acquisition point and its conduction characteristics according to the acquired data include:
step S301: receiving data acquired by an acquisition point in real time; the data is a vector, and the vector comprises coordinate information and temperature;
receiving data acquired by an acquisition point, wherein the data is generally temperature; the solution of the invention is distinguished in that the data are numerical based vectors, such as temperature based vectors; the vector is used to represent the conduction at that temperature.
Step S302: comparing the data of each acquisition point with preset data conditions to determine an abnormal acquisition point;
and analyzing the data, and determining abnormal acquisition points, wherein the abnormal acquisition points are corresponding to the acquisition points when the temperature reaches the preset data condition.
Step S303: calculating the conduction characteristics of each acquisition point in the abnormal acquisition points based on a preset vector operation model;
and calculating the conduction characteristics of the abnormal acquisition points, and obtaining the influence of the abnormal acquisition points on other areas.
As a preferred embodiment of the present invention, the step of calculating the conduction characteristic of each of the abnormal acquisition points based on the preset vector operation model includes:
selecting a target acquisition point from the abnormal acquisition points according to a preset traversal sequence;
determining Gao Weiqiu by taking a target acquisition point as a center and taking a preset numerical value as a radius;
calculating conduction characteristics according to a preset vector calculation formula;
the vector calculation formula is as follows:
wherein x is a vector centered on the target acquisition point; x is x i Is the vector of the ith acquisition point in Gao Weiqiu centered on the target acquisition point; h is the radius of Gao Weiqiu; g (t) = -f' (t), f (t) being a gaussian kernel function.
In the formula (iv), the term "a", the expression of "I" is the sign of the norm, I 2 Is the L2 norm, also called Euclidean norm, which is the sum of squares of all elements in a vector, and thenAnd then square again.
The resulting x is a vector representing the conductive feature, and the above-described operation is actually a vector sum calculation process, and the vector sum rule is based on summing a plurality of vectors to obtain a sum vector.
It is worth mentioning that x is as described above i Further expansion can be performed by introducing external parameters such as gravity parameters, for example, if one acquisition point is below the target acquisition point, the corresponding x i Multiplying by a coefficient greater than 1, and expanding to introduce a gravity parameter.
FIG. 5 is a fourth sub-flowchart of a greenhouse environment control method, wherein the steps of comparing the data of the affected area and the abnormal acquisition points and the conduction characteristics thereof, matching a target heat source point, and determining the working instruction of the target heat source point include:
step S401: reading a three-dimensional model according to a preset backtracking period;
the backtracking period is a preset time span, the current moment is analyzed, and a three-dimensional model in a previous period is required to be used as a parameter to be analyzed.
Step S402: dividing the three-dimensional model according to a preset detection grid, and determining detection points;
the detection grid is predetermined by a worker, and the smaller the cell size of the detection grid is, the finer the segmentation process of the three-dimensional model is, and the more detection points are obtained.
Step S403: counting all conduction characteristics at each detection point at each moment, and calculating combined conduction characteristics;
the data conduction condition in the greenhouse is turbulence and difficult to accurately analyze, and the technical scheme of the invention provides a simplified analysis mode, namely, the influence condition of surrounding abnormal acquisition points on each detection point is counted, so that the influence condition of all positions in the whole greenhouse is approximately obtained.
For any detection point, all the conduction characteristics need to be considered, so that the total conduction characteristics are calculated; from the above it can be seen that the conductive feature is a vector and this process is not difficult.
Step S404: inquiring data of an acquisition point closest to the detection point, and determining a point position to be regulated and regulating parameters thereof according to the data and the combined conduction characteristics;
for any detection point, inquiring the data of the latest acquisition point to be used as the data of the detection point; for example, if a temperature sensor is installed at the collection point, the temperature acquired by the nearest temperature sensor can be regarded as the temperature of the detection point; and according to the temperature at the detection point and the combined conduction characteristic thereof, comparing the temperature with a preset adjusting condition, and selecting the point to be adjusted and the adjusting parameter thereof.
Step S405: inquiring an influence area corresponding to the point to be regulated, matching a target heat source point, and determining a working instruction of the target heat source point according to the regulating parameter;
inquiring a target heat source point corresponding to the point to be regulated, and sending the target heat source point to the corresponding target heat source point according to a working instruction of the regulating parameter target heat source point.
As a preferred embodiment of the technical solution of the present invention, there is provided a greenhouse environment control system, the system comprising:
the modeling module is used for establishing a three-dimensional model corresponding to the greenhouse, and determining heat source points and influence areas thereof in the three-dimensional model according to preset heat pump parameters;
the acquisition point determining module is used for receiving acquisition density input by a user and determining acquisition points according to the acquisition density and the influence area;
the conduction analysis module is used for receiving the data acquired by the acquisition points in real time and determining abnormal acquisition points and conduction characteristics thereof according to the acquired data; the conduction characteristics are used for representing the conduction direction and conduction parameters of the data;
and the comparison and matching module is used for comparing the data of the influence area and the abnormal acquisition points and the conduction characteristics thereof, matching a target heat source point and determining a working instruction of the target heat source point.
Further, the modeling module includes:
the building unit of basic model, is used for obtaining the size information and material information of the greenhouse, set up the basic model according to said size information and material information;
the exchange point inserting unit is used for acquiring historical change data under each environmental parameter, and inserting exchange points into the basic model according to the historical change data to obtain a three-dimensional model group;
the target matching unit is used for acquiring current environment parameters in real time and matching a target three-dimensional model according to the current environment parameters;
the heat source point determining unit is used for inquiring the heat pump parameters and the installation positions thereof and determining heat source points according to the installation positions;
and the influence area determining unit is used for inputting the three-dimensional model containing the heat source points and the exchange points and the heat pump parameters into a preset simulation model to determine an influence area.
Specifically, the acquisition point determining module includes:
the acquisition point determining unit is used for receiving acquisition density input by a user and determining acquisition points in the three-dimensional model according to the acquisition density;
the intersection calculating unit is used for reading the influence areas corresponding to the heat source points and calculating the intersection areas;
and the acquisition point adjusting unit is used for adjusting the acquisition points according to the distribution condition of the intersection area.
Still further, the conductivity analysis module includes:
the data receiving unit is used for receiving the data acquired by the acquisition point in real time; the data is a vector, and the vector comprises coordinate information and temperature;
the abnormality judging unit is used for comparing the data of each acquisition point with preset data conditions to determine an abnormal acquisition point;
and the calculation execution unit is used for calculating the conduction characteristics of each acquisition point in the abnormal acquisition points based on a preset vector operation model.
Based on the same conception, the technical scheme of the invention also provides electronic equipment, which can comprise: processor 310, communication interface (Communications Interface) 320, memory 330 and communication bus 340, wherein processor 310, communication interface 320, memory 330 accomplish communication with each other through communication bus 340. The processor 310 may invoke logic instructions in the memory 330 to perform a greenhouse environment regulation method comprising:
establishing a three-dimensional model corresponding to a greenhouse, and determining a heat source point and an influence area thereof in the three-dimensional model according to preset heat pump parameters;
receiving acquisition density input by a user, and determining acquisition points according to the acquisition density and the influence area;
receiving data acquired by the acquisition points in real time, and determining abnormal acquisition points and conduction characteristics thereof according to the acquired data; the conduction characteristics are used for representing the conduction direction and conduction parameters of the data;
and comparing the data of the influence area with the data of the abnormal acquisition points and the conduction characteristics of the data, matching a target heat source point, and determining a working instruction of the target heat source point.
Further, the logic instructions in the memory 330 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Based on the same conception, the embodiments of the present invention also provide a non-transitory computer readable storage medium storing a computer program, the computer program containing at least one piece of code executable by a master control device to control the master control device to implement the steps of the mall commodity recommendation method according to the embodiments described above. Examples include:
establishing a three-dimensional model corresponding to a greenhouse, and determining a heat source point and an influence area thereof in the three-dimensional model according to preset heat pump parameters;
receiving acquisition density input by a user, and determining acquisition points according to the acquisition density and the influence area;
receiving data acquired by the acquisition points in real time, and determining abnormal acquisition points and conduction characteristics thereof according to the acquired data; the conduction characteristics are used for representing the conduction direction and conduction parameters of the data;
and comparing the data of the influence area with the data of the abnormal acquisition points and the conduction characteristics of the data, matching a target heat source point, and determining a working instruction of the target heat source point.
Based on the same technical concept, the embodiments of the present application also provide a computer program, which is used to implement the above-mentioned method embodiments when the computer program is executed by the master control device.
The program may be stored in whole or in part on a storage medium that is packaged with the processor, or in part or in whole on a memory that is not packaged with the processor.
Based on the same technical concept, the embodiment of the application also provides a processor, which is used for realizing the embodiment of the method. The processor may be a chip.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), etc.
Those of ordinary skill in the art will appreciate that implementing all or part of the above-described method embodiments may be accomplished by a computer program to instruct related hardware, the program may be stored in a computer readable storage medium, and the program may include the above-described method embodiments when executed. And the aforementioned storage medium includes: ROM or random access memory RAM, magnetic or optical disk, etc.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A greenhouse environment control method, characterized in that the method comprises:
establishing a three-dimensional model corresponding to a greenhouse, and determining a heat source point and an influence area thereof in the three-dimensional model according to preset heat pump parameters;
receiving acquisition density input by a user, and determining acquisition points according to the acquisition density and the influence area;
receiving data acquired by the acquisition points in real time, and determining abnormal acquisition points and conduction characteristics thereof according to the acquired data; the conduction characteristics are used for representing the conduction direction and conduction parameters of the data;
comparing the data of the influence area with the data of the abnormal acquisition points and the conduction characteristics of the data, matching a target heat source point, and determining a working instruction of the target heat source point;
the step of establishing a three-dimensional model corresponding to the greenhouse, and determining a heat source point and an influence area thereof in the three-dimensional model according to preset heat pump parameters comprises the following steps:
acquiring size information and material information of a greenhouse, and establishing a basic model according to the size information and the material information;
acquiring historical change data under each environmental parameter, and inserting exchange points into the basic model according to the historical change data to obtain a three-dimensional model group;
acquiring current environment parameters in real time, and matching a target three-dimensional model according to the current environment parameters;
inquiring heat pump parameters and installation positions thereof, and determining heat source points according to the installation positions;
and inputting a three-dimensional model containing a heat source point and an exchange point and the heat pump parameters into a preset simulation model, and determining an influence area.
2. The greenhouse environment conditioning method according to claim 1, wherein the step of receiving the acquisition density input from the user and determining the acquisition point from the acquisition density and the influence region comprises:
receiving acquisition density input by a user, and determining acquisition points in a three-dimensional model according to the acquisition density;
reading the influence areas corresponding to the heat source points, and calculating intersection areas of the heat source points;
and adjusting the acquisition points according to the distribution condition of the intersection area.
3. The greenhouse environment control method according to claim 1, wherein the step of receiving the data acquired by the acquisition points in real time and determining the abnormal acquisition points and the conduction characteristics thereof according to the acquired data comprises:
receiving data acquired by an acquisition point in real time; the data is a vector, and the vector comprises coordinate information and temperature;
comparing the data of each acquisition point with preset data conditions to determine an abnormal acquisition point;
and calculating the conduction characteristics of each acquisition point in the abnormal acquisition points based on a preset vector operation model.
4. A greenhouse environment control method according to claim 3, wherein the step of calculating the conduction characteristics of each of the abnormal collection points based on a preset vector operation model comprises:
selecting a target acquisition point from the abnormal acquisition points according to a preset traversal sequence;
determining Gao Weiqiu by taking a target acquisition point as a center and taking a preset numerical value as a radius;
calculating conduction characteristics according to a preset vector calculation formula;
the vector calculation formula is as follows:
wherein x is a vector centered on the target acquisition point; x is x i Is the vector of the ith acquisition point in Gao Weiqiu centered on the target acquisition point; h is the radius of Gao Weiqiu; g (t) = -f' (t), f (t) being a gaussian kernel function.
5. The greenhouse environment control method according to claim 1, wherein the steps of comparing the data of the affected area and the abnormal collection point and the conduction characteristics thereof, matching a target heat source point, and determining a work order of the target heat source point include:
reading a three-dimensional model according to a preset backtracking period;
dividing the three-dimensional model according to a preset detection grid, and determining detection points;
counting all conduction characteristics at each detection point at each moment, and calculating combined conduction characteristics;
inquiring data of an acquisition point closest to the detection point, and determining a point position to be regulated and regulating parameters thereof according to the data and the combined conduction characteristics;
inquiring an influence area corresponding to the point to be regulated, matching a target heat source point, and determining a working instruction of the target heat source point according to the regulating parameter.
6. A greenhouse environment regulation system, the system comprising:
the modeling module is used for establishing a three-dimensional model corresponding to the greenhouse, and determining heat source points and influence areas thereof in the three-dimensional model according to preset heat pump parameters;
the acquisition point determining module is used for receiving acquisition density input by a user and determining acquisition points according to the acquisition density and the influence area;
the conduction analysis module is used for receiving the data acquired by the acquisition points in real time and determining abnormal acquisition points and conduction characteristics thereof according to the acquired data; the conduction characteristics are used for representing the conduction direction and conduction parameters of the data;
the comparison and matching module is used for comparing the data of the influence area and the abnormal acquisition points and the conduction characteristics thereof, matching a target heat source point and determining a working instruction of the target heat source point;
the modeling module includes:
the building unit of basic model, is used for obtaining the size information and material information of the greenhouse, set up the basic model according to said size information and material information;
the exchange point inserting unit is used for acquiring historical change data under each environmental parameter, and inserting exchange points into the basic model according to the historical change data to obtain a three-dimensional model group;
the target matching unit is used for acquiring current environment parameters in real time and matching a target three-dimensional model according to the current environment parameters;
the heat source point determining unit is used for inquiring the heat pump parameters and the installation positions thereof and determining heat source points according to the installation positions;
and the influence area determining unit is used for inputting the three-dimensional model containing the heat source points and the exchange points and the heat pump parameters into a preset simulation model to determine an influence area.
7. The greenhouse environment conditioning system according to claim 6, wherein the acquisition point determination module comprises:
the acquisition point determining unit is used for receiving acquisition density input by a user and determining acquisition points in the three-dimensional model according to the acquisition density;
the intersection calculating unit is used for reading the influence areas corresponding to the heat source points and calculating the intersection areas;
and the acquisition point adjusting unit is used for adjusting the acquisition points according to the distribution condition of the intersection area.
8. The greenhouse environment conditioning system according to claim 6, wherein the conductivity analysis module comprises:
the data receiving unit is used for receiving the data acquired by the acquisition point in real time; the data is a vector, and the vector comprises coordinate information and temperature;
the abnormality judging unit is used for comparing the data of each acquisition point with preset data conditions to determine an abnormal acquisition point;
and the calculation execution unit is used for calculating the conduction characteristics of each acquisition point in the abnormal acquisition points based on a preset vector operation model.
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