CN116795163B - Automatic control system and method for crop stress-free growth based on Internet of things - Google Patents
Automatic control system and method for crop stress-free growth based on Internet of things Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 230000007613 environmental effect Effects 0.000 claims abstract description 55
- 238000011217 control strategy Methods 0.000 claims abstract description 25
- 238000012544 monitoring process Methods 0.000 claims abstract description 25
- 238000012360 testing method Methods 0.000 claims description 21
- 239000002689 soil Substances 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 9
- 238000012806 monitoring device Methods 0.000 claims description 8
- 230000001105 regulatory effect Effects 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 8
- 238000012271 agricultural production Methods 0.000 description 4
- 229910002092 carbon dioxide Inorganic materials 0.000 description 4
- 239000001569 carbon dioxide Substances 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000003973 irrigation Methods 0.000 description 3
- 230000002262 irrigation Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000001502 supplementing effect Effects 0.000 description 3
- 238000004804 winding Methods 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 description 1
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 229910052698 phosphorus Inorganic materials 0.000 description 1
- 239000011574 phosphorus Substances 0.000 description 1
- 239000011591 potassium Substances 0.000 description 1
- 229910052700 potassium Inorganic materials 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- 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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Abstract
The invention relates to the field of Internet of things, and discloses an automatic control system and method for crop stress-free growth based on the Internet of things, wherein a central intelligent gateway module in an environment adjusting unit corresponding to a planting unit acquires an environment control strategy from a cloud data server according to the type of crops and stores the environment control strategy in the central intelligent gateway module; and judging whether the acquired environmental parameters and the standard environmental parameters in the environmental control strategy are within a set deviation range or not according to the acquired environmental control strategy, and finishing the environmental parameter adjustment of the planting environment. According to the technical scheme provided by the invention, the fine regulation and monitoring of the crop growth environment are realized through the linkage control of the device and each Internet of things.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to an automatic control system and method for crop stress-free growth based on the Internet of things.
Background
In agricultural production, stress-free growth of crops is critical to improving yield and quality of crops. In traditional agricultural production, the condition of crop growth is judged manually, corresponding management measures are adopted, the efficiency is low, and misjudgment risks exist. In traditional agricultural production, the growth of crops is often limited by environmental factors, and the control of the environmental factors is often dependent on manual operation, so that the problems of misoperation and low efficiency are easy to occur. In order to improve the yield and quality of crops, and reduce the growth cycle, automated control systems are widely used in agricultural production. However, the existing automatic control system generally only provides static environmental conditions, and cannot be dynamically regulated and controlled according to the requirements of different crop types, so that no-stress growth cannot be realized.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an automatic control method for crop stress-free growth based on the Internet of things, which comprises the following steps:
setting a plurality of planting units in a planting area, wherein a data input module in an environment adjusting unit corresponding to the planting unit acquires the types of crops in the planting unit, and a central intelligent gateway module in the environment adjusting unit corresponding to the planting unit acquires an environment control strategy from a cloud data server according to the types of the crops and stores the environment control strategy in the central intelligent gateway module;
step two, the obtained environment control strategy is sent to a central intelligent gateway module of a planting unit which is the same with the crop type in a planting area, the environment parameters of the planting unit where the environment adjusting unit is positioned are adjusted through a control module in the environment adjusting unit corresponding to the planting unit, the environment data are collected through an environment monitoring module, whether the difference value between each collected environment parameter and the standard environment parameter in the environment control strategy is within a set deviation range is judged, if not, the step three is entered, otherwise, the step six is entered;
acquiring environment data acquired by an environment adjusting unit in a planting unit of the same crop type in a planting area, judging that a control module is faulty if the difference value between the environment data acquired by the environment adjusting unit in the planting unit of the same crop type and a standard environment parameter in an environment control strategy is within a set deviation range, and replacing the control module; if the difference value between the environmental data collected by the adjacent environmental regulating units of the same crop type and the standard environmental parameters in the environmental control strategy is not in the set deviation range, correcting the control module, and entering a step four;
step four, randomly selecting a control module in a planting unit of the same crop type in a planting area, performing environmental data adjustment test on the control module to obtain an environmental data adjustment test result, judging the state of the control module according to the deviation between the environmental data adjustment test result and the standard environmental parameter set by the environmental data adjustment test, if the state is the available state, entering a step five, otherwise, replacing the control module;
step five, according to the model of the control module, corresponding standard control data are obtained from a cloud data server, the control module is corrected according to the obtained standard control data, and after correction is completed, the step six is entered;
and step six, completing the environmental parameter adjustment of the planting environment.
Further, the central intelligent gateway module in the environment adjusting unit corresponding to the planting unit acquires an environment control strategy from the cloud data server according to the crop types, wherein the central intelligent gateway module is the central intelligent gateway module of the planting unit with the crop types in the randomly selected planting area.
Further, the determining the state of the control module according to the deviation between the environmental data adjustment test result and the standard environmental parameter set by the environmental data adjustment test includes:
adjusting test data according to the collected environmental data, obtaining the fluctuation of the environmental adjustment data within the set operation time period by the ratio of the difference value between the highest value and the lowest value in the collected environmental adjustment data output by the control module and the set operation time period,
and if the fluctuation of the environment regulation data of the control module is within the set fluctuation threshold range, the control module is in an available state, otherwise, the control module is replaced.
The crop non-stress growth automatic control system based on the Internet of things comprises a cloud data server and an environment adjusting unit; the environment adjusting unit comprises a central intelligent gateway module, a control module, an environment monitoring module, a display module and a data input module;
the control module, the environment monitoring module, the display module and the data input module are respectively connected with the central intelligent gateway module, and the central intelligent gateway module is connected with the cloud data server.
Preferably, the environment monitoring module comprises soil moisture content monitoring equipment, air environment monitoring equipment and a data processing module; the soil moisture content monitoring device and the air environment monitoring device are respectively connected with the data processing module, and the data processing module is connected with the central intelligent gateway module.
The beneficial effects of the invention are as follows: the system can operate locally without depending on an external network, and the safety and the reliability of the system are ensured. According to the crop types, the environmental factors are automatically regulated and controlled, no human intervention is needed, and suitable growth conditions are created for the crops, so that the stress-free growth of the crops is realized; through the coordinated control with each thing networking device, realize the fine control and the monitoring to crops growing environment.
Drawings
Fig. 1 is a schematic diagram of a stress-free crop growth automatic control method based on the internet of things;
fig. 2 is a schematic diagram of a stress-free crop growth automatic control system based on the internet of things.
Detailed Description
The technical solution of the present invention will be described in further detail with reference to the accompanying drawings, but the scope of the present invention is not limited to the following description.
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The features and capabilities of the present invention are described in further detail below in connection with the examples.
As shown in fig. 1, the automatic control method for the stress-free growth of crops based on the internet of things comprises the following steps:
setting a plurality of planting units in a planting area, wherein a data input module in an environment adjusting unit corresponding to the planting unit acquires the types of crops in the planting unit, and a central intelligent gateway module in the environment adjusting unit corresponding to the planting unit acquires an environment control strategy from a cloud data server according to the types of the crops and stores the environment control strategy in the central intelligent gateway module;
step two, the obtained environment control strategy is sent to a central intelligent gateway module of a planting unit which is the same with the crop type in a planting area, the environment parameters of the planting unit where the environment adjusting unit is positioned are adjusted through a control module in the environment adjusting unit corresponding to the planting unit, the environment data are collected through an environment monitoring module, whether the difference value between each collected environment parameter and the standard environment parameter in the environment control strategy is within a set deviation range is judged, if not, the step three is entered, otherwise, the step six is entered;
acquiring environment data acquired by an environment adjusting unit in a planting unit of the same crop type in a planting area, judging that a control module is faulty if the difference value between the environment data acquired by the environment adjusting unit in the planting unit of the same crop type and a standard environment parameter in an environment control strategy is within a set deviation range, and replacing the control module; if the difference value between the environmental data collected by the adjacent environmental regulating units of the same crop type and the standard environmental parameters in the environmental control strategy is not in the set deviation range, correcting the control module, and entering a step four;
step four, randomly selecting a control module in a planting unit of the same crop type in a planting area, performing environmental data adjustment test on the control module to obtain an environmental data adjustment test result, judging the state of the control module according to the deviation between the environmental data adjustment test result and the standard environmental parameter set by the environmental data adjustment test, if the state is the available state, entering a step five, otherwise, replacing the control module;
step five, according to the model of the control module, corresponding standard control data are obtained from a cloud data server, the control module is corrected according to the obtained standard control data, and after correction is completed, the step six is entered;
and step six, completing the environmental parameter adjustment of the planting environment.
And the central intelligent gateway module in the environment adjusting unit corresponding to the planting unit acquires an environment control strategy from the cloud data server according to the types of crops, wherein the central intelligent gateway module is the central intelligent gateway module of the planting unit with the crop types in the randomly selected planting area.
The method for judging the state of the control module according to the deviation between the environmental data adjustment test result and the standard environmental parameter set by the environmental data adjustment test comprises the following steps:
and adjusting the test data according to the collected environment data, obtaining environment adjustment data fluctuation according to the ratio of the difference value between the highest value and the lowest value in the collected environment adjustment data output by the control module and the set operation time within the set operation time, and if the environment adjustment data fluctuation of the control module is within the set fluctuation threshold range, the control module is in an available state, otherwise, the control module is replaced.
As shown in fig. 2, the automatic control system for the crop non-stress growth based on the internet of things applies the automatic control method for the crop non-stress growth based on the internet of things, and comprises a cloud data server and an environment adjusting unit; the environment adjusting unit comprises a central intelligent gateway module, a control module, an environment monitoring module, a display module and a data input module;
the control module, the environment monitoring module, the display module and the data input module are respectively connected with the central intelligent gateway module, and the central intelligent gateway module is connected with the cloud data server.
The environment monitoring module comprises soil moisture content monitoring equipment, air environment monitoring equipment and a data processing module; the soil moisture content monitoring device and the air environment monitoring device are respectively connected with the data processing module, and the data processing module is connected with the central intelligent gateway module.
Specifically, the crop stress-free growth automatic control system based on the Internet of things comprises the following components:
and the central intelligent gateway: the central intelligent gateway is the core control unit of the system. The system supports the connection of cellular data, wiFi and Ethernet to a cloud server, and has the capability of locally executing automatic self-linked regulation and control of non-stressed environment elements. The central intelligent gateway is connected with all the Internet of things equipment through protocols of lora, bluetooth, wiFi, zigBee and the like, does not need to depend on an external network during the execution of the strategy, and has the characteristics of safety and reliability.
And the control module is used for: comprises one or more of a light supplementing lamp, a film winding machine, a curtain drawing machine, a fan, spray irrigation equipment, an LED large screen, a heat pump, a carbon dioxide generator and the like. The devices are controlled and regulated by the central intelligent gateway so as to realize accurate control of the crop growth environment.
The air environment monitoring device can monitor environmental factors such as illuminance, carbon dioxide concentration, air temperature, air humidity, solar radiation and the like.
The soil moisture content monitoring device can monitor the nitrogen content, the phosphorus content, the potassium content, the soil temperature, the soil humidity, the soil PH value, the soil EC value and the like of the soil. The central intelligent gateway automatically regulates and controls the devices of the Internet of things such as the light supplementing lamp, the film winding machine, the curtain drawing machine, the fan, the sprinkling irrigation device, the LED large screen, the heat pump, the carbon dioxide generator and the like according to the monitoring data and the cloud downloading strategy, and achieves accurate control over the crop growth environment.
2. Principle of operation
1. Initializing a system: when the system is started, the central intelligent gateway is initialized and connected to the cloud server to acquire an environment strategy.
2. Crop species selection: and the user selects a corresponding environment strategy on the cloud server according to the planted crop types.
3. Local policy download: and the central intelligent gateway downloads the environment strategy of the selected crops from the cloud server.
4. Local environment regulation: the central intelligent gateway automatically regulates and controls the devices such as the light supplementing lamp, the film winding machine, the curtain drawing machine, the fan, the sprinkling irrigation equipment, the LED large screen, the heat pump, the carbon dioxide generator and the like through the acquisition control terminal according to the downloaded environment strategy, and provides a proper growth environment for crops.
5. Data monitoring and feedback: the environment monitoring equipment and the soil moisture content monitoring equipment monitor various parameters of the crop growth environment in real time and feed data back to the central intelligent gateway.
6. Data display and alarm: the central intelligent gateway transmits monitoring data to the LED large screen so that farmers can know the state of the crop growth environment in real time. Meanwhile, the system can also alarm according to the set threshold value to remind peasants to take corresponding measures.
The foregoing is merely a preferred embodiment of the invention, and it is to be understood that the invention is not limited to the form disclosed herein but is not to be construed as excluding other embodiments, but is capable of numerous other combinations, modifications and environments and is capable of modifications within the scope of the inventive concept, either as taught or as a matter of routine skill or knowledge in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.
Claims (5)
1. The automatic control method for the stress-free growth of the crops based on the Internet of things is characterized by comprising the following steps:
setting a plurality of planting units in a planting area, wherein a data input module in an environment adjusting unit corresponding to the planting unit acquires the types of crops in the planting unit, and a central intelligent gateway module in the environment adjusting unit corresponding to the planting unit acquires an environment control strategy from a cloud data server according to the types of the crops and stores the environment control strategy in the central intelligent gateway module;
step two, the obtained environment control strategy is sent to a central intelligent gateway module of a planting unit which is the same with the crop type in a planting area, the environment parameters of the planting unit where the environment adjusting unit is positioned are adjusted through a control module in the environment adjusting unit corresponding to the planting unit, the environment data are collected through an environment monitoring module, whether the difference value between each collected environment parameter and the standard environment parameter in the environment control strategy is within a set deviation range is judged, if not, the step three is entered, otherwise, the step six is entered;
acquiring environment data acquired by an environment adjusting unit in a planting unit of the same crop type in a planting area, judging that a control module is faulty if the difference value between the environment data acquired by the environment adjusting unit in the planting unit of the same crop type and a standard environment parameter in an environment control strategy is within a set deviation range, and replacing the control module; if the difference value between the environmental data collected by the adjacent environmental regulating units of the same crop type and the standard environmental parameters in the environmental control strategy is not in the set deviation range, correcting the control module, and entering a step four;
step four, randomly selecting a control module in a planting unit of the same crop type in a planting area, performing environmental data adjustment test on the control module to obtain an environmental data adjustment test result, judging the state of the control module according to the deviation between the environmental data adjustment test result and the standard environmental parameter set by the environmental data adjustment test, if the state is the available state, entering a step five, otherwise, replacing the control module;
step five, according to the model of the control module, corresponding standard control data are obtained from a cloud data server, the control module is corrected according to the obtained standard control data, and after correction is completed, the step six is entered;
and step six, completing the environmental parameter adjustment of the planting environment.
2. The automatic control method for the growth of crops without stress based on the internet of things according to claim 1, wherein the central intelligent gateway module in the environment adjusting unit corresponding to the planting unit obtains the environment control strategy from the cloud data server according to the types of crops, wherein the central intelligent gateway module is the central intelligent gateway module of the planting unit with the crop types in the randomly selected planting area.
3. The automated control method for crop stress-free growth based on the internet of things according to claim 2, wherein the determining the state of the control module according to the deviation between the environmental data adjustment test result and the environmental data adjustment test set standard environmental parameter comprises:
adjusting test data according to the collected environmental data, and obtaining fluctuation of the environmental adjustment data within a set operation time period by the ratio of the difference value between the highest value and the lowest value in the collected environmental adjustment data output by the control module to the set operation time period;
and if the fluctuation of the environment regulation data of the control module is within the set fluctuation threshold range, the control module is in an available state, otherwise, the control module is replaced.
4. The crop non-stress growth automatic control system based on the Internet of things is characterized by comprising a cloud data server and an environment adjusting unit, wherein the crop non-stress growth automatic control method based on the Internet of things is applied to any one of claims 1-3; the environment adjusting unit comprises a central intelligent gateway module, a control module, an environment monitoring module, a display module and a data input module;
the control module, the environment monitoring module, the display module and the data input module are respectively connected with the central intelligent gateway module, and the central intelligent gateway module is connected with the cloud data server.
5. The automatic control system for crop non-stress growth based on the internet of things according to claim 4, wherein the environment monitoring module comprises soil moisture content monitoring equipment, air environment monitoring equipment and a data processing module; the soil moisture content monitoring device and the air environment monitoring device are respectively connected with the data processing module, and the data processing module is connected with the central intelligent gateway module.
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| CN116540805A (en) * | 2023-06-06 | 2023-08-04 | 上海华维可控农业科技集团股份有限公司 | Controllable agricultural greenhouse temperature control system and method based on Internet of things |
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