CN115220493B - Agricultural intelligent greenhouse and internal environment regulation and control system thereof - Google Patents
Agricultural intelligent greenhouse and internal environment regulation and control system thereof Download PDFInfo
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- CN115220493B CN115220493B CN202211048362.9A CN202211048362A CN115220493B CN 115220493 B CN115220493 B CN 115220493B CN 202211048362 A CN202211048362 A CN 202211048362A CN 115220493 B CN115220493 B CN 115220493B
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- 230000007613 environmental effect Effects 0.000 claims abstract description 50
- 238000005457 optimization Methods 0.000 claims abstract description 22
- 230000012010 growth Effects 0.000 claims abstract description 10
- 238000004891 communication Methods 0.000 claims description 18
- 239000002689 soil Substances 0.000 claims description 13
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 235000013311 vegetables Nutrition 0.000 abstract description 15
- 230000001105 regulatory effect Effects 0.000 abstract description 12
- 238000012271 agricultural production Methods 0.000 abstract description 2
- 238000011161 development Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 abstract description 2
- 238000003973 irrigation Methods 0.000 description 5
- 230000002262 irrigation Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000003698 anagen phase Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/20—Control of temperature characterised by the use of electric means with sensing elements having variation of electric or magnetic properties with change of temperature
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- 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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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Greenhouses (AREA)
Abstract
The application discloses an agricultural intelligent greenhouse and an internal environment regulation and control system thereof, wherein the greenhouse comprises a central greenhouse and a plurality of edge greenhouses, the insides of the central greenhouse and the edge greenhouses are respectively provided with a data acquisition unit and a decision unit, the insides of the central greenhouse are also provided with an optimization unit, the data acquisition units acquire environmental data in each greenhouse, and the decision unit makes a regulation and control scheme according to the environmental data; the optimization unit optimizes the regulation and control scheme by taking the environmental data balance of the central greenhouse and the edge greenhouse as a target to obtain the optimal regulation and control scheme. According to the method, the information of the greenhouses is concentrated to carry out decision optimization of integrity, the environment of each greenhouse can be regulated to the same or equivalent level, the growth state of vegetables in the greenhouses can be ensured, the quality consistency of the vegetables in the greenhouses can be improved through unified environmental data, and the healthy development of agricultural production is facilitated.
Description
Technical Field
The application relates to the technical field of agricultural planting, in particular to an agricultural intelligent greenhouse and an internal environment regulation and control system thereof.
Background
The agricultural greenhouse is the preferred mode for carrying out mass vegetable planting production at present, and because the environment inside the greenhouse is easy to regulate and control, vegetables can be always in the optimal growth environment through a human intervention mode, so that the growth speed and quality of the vegetables are improved, and continuous high-quality vegetables are provided for people.
In general, agricultural greenhouses are built in large scale, and different vegetables can be planted in different greenhouses according to different market demands, even different vegetables can be planted in the same greenhouse. Under the addition of modern technology, the management of greenhouses has increasingly adopted an automatic control technology, and after information such as temperature, humidity, illumination and the like in the greenhouses is collected through various sensors, the control equipment controls irrigation, heating, ventilation and other equipment so as to maintain the environment in the greenhouses in the optimal growth state all the time.
However, at present, many greenhouses are independently controlled, so that the environments in the greenhouses are not completely the same, and therefore, the growing states of vegetables at the same time are different, and finally, the vegetables cannot reach uniform quality when being harvested, and the income of vegetable farmers is affected.
Disclosure of Invention
The embodiment of the application provides an agricultural intelligent greenhouse and an internal environment regulation and control system thereof, which are used for solving the problem that the independent control of the greenhouse in the prior art causes non-uniform growth state of vegetables.
On one hand, the embodiment of the application provides an agricultural intelligent greenhouse, which comprises a central greenhouse and a plurality of edge greenhouses, wherein the central greenhouse and the edge greenhouses are internally provided with a data acquisition unit and a decision unit, the central greenhouse is internally provided with an optimizing unit, the data acquisition unit is used for acquiring environmental data in the central greenhouse and the edge greenhouses, the decision unit is used for making a regulation and control scheme of the internal environments of the central greenhouse and the edge greenhouses according to the environmental data, and the decision unit sends the regulation and control scheme to the optimizing unit;
the optimization unit optimizes the regulation and control scheme by taking the environmental data balance of the central greenhouse and the edge greenhouse as a target to obtain the optimal regulation and control scheme.
On the other hand, the embodiment of the application also provides an internal environment regulation and control system of the agricultural intelligent greenhouse, which comprises:
the optimizing unit is arranged in the central greenhouse and is used for optimizing the regulation and control scheme sent by the edge greenhouse to obtain an optimal regulation and control scheme;
and the execution unit is arranged in the central greenhouse and the edge greenhouse and is used for executing the optimal regulation scheme.
The agricultural intelligent greenhouse and the internal environment regulation and control system thereof have the following advantages:
the method has the advantages that the information of the greenhouses is concentrated together to carry out the decision optimization of the integrity, the environment of each greenhouse can be regulated to the same or equivalent level, the growth state of vegetables in the greenhouse can be ensured, the quality consistency of the vegetables in the greenhouses can be improved through unified environment data, and the healthy development of agricultural production is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of the composition of an agricultural intelligent greenhouse according to an embodiment of the present application.
Reference numerals illustrate: 100-central greenhouse, 200-edge greenhouse.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Fig. 1 is a schematic diagram of the composition of an agricultural intelligent greenhouse according to an embodiment of the present application. The embodiment of the application provides an agricultural intelligent greenhouse, which comprises a central greenhouse 100 and a plurality of edge greenhouses 200, wherein the interiors of the central greenhouse 100 and the edge greenhouses 200 are respectively provided with a data acquisition unit and a decision unit, the interiors of the central greenhouse 100 are also provided with an optimization unit, the data acquisition unit is used for acquiring environment data in the interiors of the central greenhouse 100 and the edge greenhouses 200, the decision unit is used for making a regulation and control scheme of the interiors of the central greenhouse 100 and the edge greenhouses 200 according to the environment data, and the decision unit sends the regulation and control scheme to the optimization unit;
the optimization unit optimizes the regulation scheme with the environmental data balance of the central greenhouse 100 and the edge greenhouse 200 as a target to obtain an optimal regulation scheme.
Illustratively, the central greenhouse 100 and the marginal greenhouse 200 are substantially identical, and one greenhouse may be selected as the central greenhouse 100 from all greenhouses planted with the same vegetables in a single area, while the other greenhouses are the marginal greenhouses 200. Since data transmission is required between the central greenhouse 100 and the edge greenhouse 200, a greenhouse located at the geometric center among the plurality of greenhouses can be regarded as the central greenhouse 100.
The data acquisition unit may employ various sensors, such as a temperature sensor, a humidity sensor, and an illuminance sensor, wherein the temperature sensor may be used to acquire the temperature of air or soil in the greenhouse, the humidity sensor may be used to acquire the humidity of air or soil in the greenhouse, and the illuminance sensor may be used to acquire the illuminance in the greenhouse. Because the occupation area of the greenhouse is large, the situation that the environmental data at different positions are not identical exists, and therefore a plurality of data acquisition units are required to be arranged in the greenhouse, and the environmental data, such as temperature, acquired by the plurality of data acquisition units are processed and then transmitted to the decision unit. In particular, the processing of the environmental data may include culling and averaging processing of the abnormal data. When the data acquired by a certain data acquisition unit is too large or too small compared with the data acquired by other data acquisition units, the data acquisition unit can be considered to be abnormal, and the abnormal data can be removed. After the abnormal data is removed, the rest data can be subjected to average value processing, and the average value of the environmental data is sent to the decision unit.
The decision unit may employ a single-chip microcomputer, such as an STC89C52 or STM32 series single-chip microcomputer, which, upon receipt of the environmental data, may obtain pre-stored growth data including a growth phase and target environmental data matching the current production phase. The decision unit determines the control scheme of the corresponding execution unit according to the difference value between the received environmental data and the target environmental data, for example, the irrigation unit works for 1 hour with the maximum power, and the set of the control scheme of each execution unit in the greenhouse is the regulation scheme.
After the central greenhouse 100 and all the edge greenhouses 200 have determined the regulatory scheme, the regulatory scheme may be sent to an optimization unit of the central greenhouse 100. The optimization unit may be shared with the decision unit of the central greenhouse 100, i.e. both the optimization unit and the decision unit may be realized by the same single-chip microcomputer. After optimizing the control schemes sent by the decision units, the optimizing unit can obtain an optimal control scheme, and the optimal control scheme comprises the optimal control scheme of the central greenhouse 100 and all edge greenhouses 200.
In a possible embodiment, the decision unit sends the regulatory scheme to the optimization unit by means of wireless communication.
Illustratively, although the distance between adjacent greenhouses is relatively close, when a large number of greenhouses exist, the distance between the two greenhouses may be relatively far, and in order to facilitate data communication and reduce the construction cost of data transmission, the present invention adopts a wireless communication mode to realize data transmission between the edge greenhouse 200 and the central greenhouse 100.
Specifically, wireless communication units are respectively arranged in the central greenhouse 100 and the edge greenhouse 200, a plurality of wireless communication units form a wireless self-organizing network, and the wireless communication units in the edge greenhouse 200 send the regulation and control scheme to the wireless communication units in the central greenhouse 100 in a wireless self-organizing mode. The wireless communication unit may employ Zigbee, NBIoT, and like technologies for transmitting and receiving data. The self-networking of a plurality of wireless communication units can be realized by adopting the wireless self-organizing network and the wireless self-organizing communication, the networking speed is faster, and the data transmission is ensured.
In a possible embodiment, the optimizing unit determines the target environmental data after the central greenhouse 100 and the edge greenhouse 200 are regulated according to the environmental data and the regulation scheme, and adjusts the regulation scheme after determining the difference value of the target environmental data of each of the central greenhouse 100 and the edge greenhouse 200 so as to minimize the sum of the difference values of the target environmental data of each of the greenhouses.
For example, since the types of the data acquisition units are more, the types of the environmental data acquired by the data acquisition units are more, and accordingly, the types of the target environmental data and the environmental data acquired by the data acquisition units are the same, the types of the target environmental data in each type of the regulation schemes are more, and thus, the regulation of the target environmental data in each type of the regulation schemes is needed in the application. And the optimizing unit is used for adjusting the target environment data of the corresponding type in the regulation scheme after determining the difference value of the target environment data of each type in each greenhouse so as to minimize the sum of the difference values of the target environment data of each type in each greenhouse.
For example, when the soil humidity is regulated and controlled, the regulated and controlled target soil humidity in each greenhouse needs to be determined according to the control scheme of the irrigation unit and the current soil humidity, then the difference value of the target soil humidity of any two greenhouses in the plurality of greenhouses is calculated, and after all the difference values are accumulated, the sum of the difference values can be determined. The optimization unit then adjusts the soil moisture control scheme for each greenhouse, for example, by extending the operating time of the irrigation units in one or more of the greenhouses by 10 minutes, so as to increase the target soil moisture in the corresponding greenhouse, and further calculates a sum of differences again, compares the sum of differences with the sum of differences calculated previously, and retains the soil moisture control scheme with a smaller sum of differences. The optimization unit then adjusts the regulation scheme sent by the decision unit in a manner different from the adjustment described above again, and calculates the sum of the differences again. Repeating the steps for a plurality of times until a regulation scheme with the minimum sum of differences is found under the set cycle times, wherein the regulation scheme is the optimal regulation scheme.
In one possible embodiment, the optimization unit also optimizes the regulation scheme with the goal of minimizing the target environmental data adjustments of the central greenhouse 100 and the edge greenhouse 200.
For example, since the sum of the differences of the target environmental data caused by only calculating the regulation scheme may result in the optimal regulation scheme being not unique, for example, the target soil humidity of all greenhouses is regulated by 10% after 5% at the same time, the sum of the differences calculated by both are the same, and if both are used as the optimal regulation scheme, the optimal regulation scheme will not be unique. The present application therefore also takes the minimum amount of environmental data adjustment as an auxiliary optimization objective.
Specifically, when the regulation and control scheme sent by the decision unit is regulated, the regulation and control scheme can also calculate the regulation and control amount of certain target environmental data, such as the target soil humidity, in the regulation and control, and the sum of the regulation and control amounts of the target environmental data of the plurality of greenhouses is the sum of the regulation and control amounts of the target environmental data. When the optimal regulation scheme is not unique after the regulation scheme is regulated by the optimizing unit, the regulation scheme with the minimum sum of the target environmental data regulation amounts in the regulated regulation schemes can be used as the optimal regulation scheme.
The embodiment of the invention also provides an internal environment regulation system of the agricultural intelligent greenhouse, which comprises the following components: the optimizing unit is arranged in the central greenhouse 100 and is used for optimizing the regulation and control scheme sent by the edge greenhouse 200 to obtain an optimal regulation and control scheme; and an execution unit disposed in the central greenhouse 100 and the edge greenhouse 200 for executing an optimal regulation scheme.
For example, the execution unit may correspond to the type of the environmental data, for example, the execution unit corresponding to the soil humidity data is an irrigation unit, and the execution unit corresponding to the air temperature data is a heating unit.
When the optimizing unit determines the optimal regulation scheme, the optimal regulation scheme can be sent to the wireless communication units of the edge greenhouses 200 through the wireless communication units, and meanwhile, the optimal regulation scheme is also sent to the execution units of the central greenhouse 100, and the wireless communication units of the edge greenhouses 200 forward the optimal regulation scheme to the execution units after receiving the optimal regulation scheme. The execution units of each greenhouse can work according to the optimal regulation and control scheme, so that the environmental data in each greenhouse are kept uniform.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (6)
1. The intelligent agricultural greenhouse is characterized by comprising a central greenhouse (100) and a plurality of edge greenhouses (200), wherein a data acquisition unit and a decision unit are arranged in the central greenhouse (100) and the edge greenhouses (200), an optimization unit is further arranged in the central greenhouse (100), the data acquisition unit is used for acquiring environmental data in the central greenhouse (100) and the edge greenhouses (200), the decision unit is used for formulating a regulation and control scheme of the internal environments of the central greenhouse (100) and the edge greenhouses (200) according to the environmental data, and the decision unit sends the regulation and control scheme to the optimization unit;
the optimization unit optimizes the regulation scheme by taking the environmental data balance of the central greenhouse (100) and the edge greenhouse (200) as a target to obtain an optimal regulation scheme;
the decision unit sends the regulation and control scheme to the optimization unit in a wireless communication mode;
the central greenhouse (100) and the edge greenhouse (200) are internally provided with wireless communication units, a plurality of wireless communication units form a wireless self-organizing network, and the wireless communication units in the edge greenhouse (200) send the regulation and control scheme to the wireless communication units of the central greenhouse (100) in a wireless self-organizing mode;
the decision unit adopts a singlechip, and is further used for acquiring prestored growth data after receiving the environmental data, wherein the growth data comprises a growth stage and target environmental data matched with the current production stage, the decision unit determines a control scheme of a corresponding execution unit according to the difference value of the environmental data and the target environmental data, and the regulation scheme is a set of control schemes of each execution unit in a greenhouse.
2. An agricultural intelligent greenhouse according to claim 1, characterized in that the optimization unit determines the target environmental data of the central greenhouse (100) and the edge greenhouses (200) after the regulation according to the environmental data and the regulation scheme, and adjusts the regulation scheme after determining the difference value of the target environmental data of each greenhouse in the central greenhouse (100) and the edge greenhouses (200) so as to minimize the sum of the difference values of the target environmental data of each greenhouse.
3. An agricultural intelligent greenhouse according to claim 2, wherein the target environmental data comprises a plurality of categories, and the optimizing unit adjusts the target environmental data of the corresponding category in the control scheme after determining the difference of the target environmental data of each category in each greenhouse so as to minimize the sum of the differences of the target environmental data of each category in each greenhouse.
4. An agricultural intelligent greenhouse according to claim 1, characterized in that the optimization unit also optimizes the regulation scheme with the aim of minimizing the target environmental data adjustment of the central greenhouse (100) and the edge greenhouse (200).
5. An agricultural intelligent greenhouse according to claim 1, wherein the data acquisition unit comprises: temperature acquisition unit, air humidity acquisition unit, soil humidity acquisition unit and illuminance acquisition unit.
6. An internal environment control system applied to an agricultural intelligent greenhouse as claimed in any one of claims 1 to 5, comprising:
the optimizing unit is arranged in the central greenhouse (100) and is used for optimizing the regulation and control scheme sent by the edge greenhouse (200) to obtain an optimal regulation and control scheme;
and an execution unit, which is arranged in the central greenhouse (100) and the edge greenhouse (200) and is used for executing the optimal regulation scheme.
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