CN111026206A - Automatic control system for hydroponic plants - Google Patents
Automatic control system for hydroponic plants Download PDFInfo
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- CN111026206A CN111026206A CN201911344458.8A CN201911344458A CN111026206A CN 111026206 A CN111026206 A CN 111026206A CN 201911344458 A CN201911344458 A CN 201911344458A CN 111026206 A CN111026206 A CN 111026206A
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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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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G31/00—Soilless cultivation, e.g. hydroponics
- A01G31/02—Special apparatus therefor
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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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P60/00—Technologies relating to agriculture, livestock or agroalimentary industries
- Y02P60/20—Reduction of greenhouse gas [GHG] emissions in agriculture, e.g. CO2
- Y02P60/21—Dinitrogen oxide [N2O], e.g. using aquaponics, hydroponics or efficiency measures
Abstract
The invention provides an automatic control system for hydroponic plants, which comprises a user side and a cloud server, wherein the user side and the cloud server are in data interaction through an Internet network. The invention has the beneficial effects that: the system generates a control command for adjusting parameters according to the plant growth model and sends the control command to the water culture control equipment of the user so as to maintain the environmental parameters of the plant growth in an optimized interval, and in addition, the growth state of the plant is expressed in a data mode through picture analysis. Therefore, a set of closed loop from external factors to a growth result is established, a subsequent big data analysis optimal growth model is facilitated, and the technical threshold of the water culture plant planting is greatly reduced.
Description
Technical Field
The invention relates to the technical field of plant water culture, in particular to an automatic control system for water culture plants.
Background
The water culture technology is a new agricultural technology, and the growth environment of the water culture technology depends on inorganic salt nutrients which are easy to dissolve in water and have strong mobility, so that the plants can obtain nutrition very easily, the growth speed is higher than that of a traditional planting mode, and the growth process is easy to control, so that the fine and high-yield planting is possible. However, the plants in the hydroponic environment may be rapidly rotten, rotten roots and even die due to excessive or inappropriate changes in the concentration of nutrients or pH values, and the technical threshold is high. By means of the IoT technology, the optimal parameters can be set according to the characteristics of the plants, so that the growth of the plants reaches an optimal state, and the technical threshold of water culture agriculture is also reduced.
Different plants have different growth stage periods, such as seedling, flowering stage, fruiting, harvesting, etc., but the flowering and fruiting stages are not a concern for leafy vegetables. In different growth stages, the requirements for nutrition, light, temperature and the like are different; even every day, different plants reach the growth vigor points at different times, or the plants change their growth vigor points due to the influence of high temperature or strong light. There is a need for the ability to flexibly define growth control programs.
For household users, different salt ratios of nutrient solutions cannot be selected according to different plants, and the household users can select more commercial nutrient solutions which can be suitable for the requirements of different plants, so that the planted plants may not reach the optimal growth condition. The ability to assess growth status, including nutritional deficiencies, becomes necessary. There are various means for evaluating the growth state of plants, such as weighing, measuring root size and number, measuring tip cap size, and the like. But from a practical point of view, taking a picture is probably the easiest means and is not destructive to the plant. But the focal point of the picture is changed due to the change of the height and the area in the growing process of the plant, so that the calculated scale is also changed.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the utility model provides a system that can implement growth environment according to predetermined vegetation model and correct to water planting plant reduces water planting plant's planting technique threshold.
In order to solve the technical problems, the invention adopts the technical scheme that: an automatic control system for hydroponic plants comprises a user side and a cloud server, wherein the user side and the cloud server are in data interaction through an Internet network,
the user side is used for acquiring hydroponic plant growth data, uploading the hydroponic plant growth data to the cloud server, and executing hydroponic plant growth environment correction according to a correction instruction from the cloud server;
the cloud server is used for analyzing the hydroponic plant growth data acquired by the user side and issuing a correction instruction for adjusting the hydroponic plant growth environment to the user side according to a preset plant growth model.
Further, the user side comprises a liquid temperature sensor, a PH sensor, an EC sensor, a liquid level sensor, a flow meter, a temperature and humidity sensor, an illuminance sensor and a plurality of actuators,
the liquid temperature sensor is used for monitoring the temperature of the water body;
the PH sensor is used for monitoring the pH value of the water body;
the EC sensor is used for monitoring the ion concentration of the water body;
the liquid level sensor is used for monitoring the liquid level height of the culture water tank;
the flowmeter is used for monitoring water flow;
the temperature and humidity sensor is used for monitoring the humidity of the plant leaf surface;
the illuminance sensor is used for monitoring the illuminance of the plant leaf surface;
the executor is used for executing the correction instruction from the cloud server.
Further, the actuator comprises a heating rod, a refrigerator, a peristaltic pump, a water pump or an electromagnetic pump, an air humidifier and a control switch with PWM (pulse-width modulation) capability,
the heating rod is used for heating the water body;
the refrigerator is used for cooling the water body;
the peristaltic pump is used for pumping pH value adjusting liquid and nutrient solution into a water body;
the water pump or the electromagnetic pump is used for injecting water into the culture water tank;
the air humidifier is used for humidifying the environment and cooling the leaf surfaces of the plants;
the control switch with the PWM capability is used for adjusting the light intensity of the LED plant lamp.
Further, the user side still includes host system, host system respectively with liquid temperature sensor, PH sensor, EC sensor, level sensor, flowmeter, temperature and humidity sensor and light intensity sensor have the digital signal to connect, host system is used for gathering the monitoring data of each sensor and packing for water planting vegetation data to reach the correction instruction of receiving high in the clouds server with water planting vegetation data upload to the high in the clouds server, and correspond executor function adjustment water planting vegetation environment according to correction instruction control.
Furthermore, the master control module comprises a communication submodule, and the communication submodule is a wireless communication submodule.
Further, the user side further comprises an image sensor, the image sensor is connected with the main control module, and the image sensor is used for acquiring image data of the plant leaf surface.
Further, the cloud server comprises an analysis module, a plant growth program library and a plant growth parameter decision module,
the analysis module is used for analyzing the hydroponic plant growth data uploaded by the user side and comparing the hydroponic plant growth data with the corresponding hydroponic plant growth control model in the plant growth program library to obtain difference data;
the plant growth parameter decision module is used for generating a correction instruction according to the difference data;
the plant growth program library is used for storing a hydroponic plant growth control model.
Further, the cloud server comprises a Web interface, a user can access the Web interface through a terminal to obtain real-time data, historical data and control instruction execution history of the user corresponding to the user side, and the terminal comprises a mobile phone, a tablet personal computer and a personal computer.
Further, the cloud server and the user side interact through a Web Socket communication protocol.
Further, the hydroponic plant growth data includes leaf surface size data, which is identified by the following steps:
finding a reference slice to obtain an amplification factor of the reference slice;
identifying the outline of the plant leaf in the picture;
and calculating the size of the leaf surface according to the amplification factor to obtain leaf surface size data.
The invention has the beneficial effects that: the system generates a control command for adjusting parameters according to the plant growth model and sends the control command to the water culture control equipment of the user so as to maintain the environmental parameters of the plant growth in an optimized interval, and in addition, the growth state of the plant is expressed in a data mode through picture analysis. Therefore, a set of closed loop from external factors to a growth result is established, a subsequent big data analysis optimal growth model is facilitated, and the technical threshold of the water culture plant planting is greatly reduced.
Drawings
The specific structure of the invention is detailed below with reference to the accompanying drawings:
FIG. 1 is a block diagram of the system architecture of the present invention;
fig. 2 is a block diagram of a client structure according to the present invention.
Detailed Description
In order to explain technical contents, structural features, and objects and effects of the present invention in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
Examples
Referring to fig. 1 and fig. 2, an automatic control system for hydroponic plants includes a user side and a cloud server, the user side and the cloud server perform data interaction through an Internet network,
the user side is used for acquiring hydroponic plant growth data, uploading the hydroponic plant growth data to the cloud server, and executing hydroponic plant growth environment correction according to a correction instruction from the cloud server;
specifically, the user side includes liquid temperature sensor, PH sensor, EC sensor, level sensor, flowmeter, temperature and humidity sensor, light intensity sensor, a plurality of executor and host system, host system respectively with liquid temperature sensor, PH sensor, EC sensor, level sensor, flowmeter, temperature and humidity sensor, light intensity sensor and image sensor have digital signal to connect, host system is used for gathering the monitoring data of each sensor and packing for water planting vegetation data to reach water planting vegetation data upload to high in the clouds server, and receive the correction instruction of high in the clouds server, correspond executor function adjustment water planting vegetation environment according to correction instruction control.
The main control module is arranged in the waterproof shell, the liquid temperature sensor, the PH sensor, the EC sensor and the liquid level sensor are all soaked in the culture water tank, and the liquid temperature sensor is used for monitoring the temperature of a water body; the PH sensor is used for monitoring the pH value of the water body; the EC sensor is used for monitoring the ion concentration of the water body; the liquid level sensor is used for monitoring the liquid level height of the culture water tank.
A flow meter is installed in the pipe leading to the culture water tank, and the flow meter is used for monitoring the water flow rate to ensure the mobility of the nutrient solution and oxygen.
The temperature and humidity sensor and the illuminance sensor are arranged near the leaf surface, and the temperature and humidity sensor is used for monitoring the humidity of the leaf surface of the plant; the illuminance sensor is used for monitoring the illuminance of the plant leaf surface.
The user side can also comprise an image sensor, the image sensor is arranged above the plants and connected with the main control module, and the image sensor is used for acquiring image data of the surfaces of the plants.
In this embodiment, the system includes image sensor, but in practical application, the user can also obtain the image data on plant leaf surface through personal terminal like the device that has the camera such as cell-phone, panel computer, the terminal installations such as user's accessible cell-phone or panel computer can with the interactive software of cloud server to adopt this software to shoot the image on plant leaf surface through the built-in camera of terminal such as cell-phone or panel computer, and directly upload to the cloud server.
The actuator is used for executing the correction instruction from the cloud server, and comprises a heating rod, a refrigerator, a peristaltic pump, a water pump or an electromagnetic pump, an air humidifier and a control switch with PWM (pulse width modulation) capability,
the heating rod is used for heating the water body, and when the water temperature is lower than a preset value, the cloud server can send a correction instruction to enable the main control module to control the heating rod to heat the water body;
the cloud server can send a correction instruction to enable the main control module to control the refrigerator to cool the water body when the water temperature is higher than a preset value;
the peristaltic pump is used for pumping pH value adjusting liquid and nutrient solution into a water body;
when the PH sensor detects that the pH value of the water is inconsistent with the hydroponic plant growth control model that adopts, the high in the clouds server can send and correct the instruction and let the corresponding peristaltic pump of master control module control go into pH value adjustment liquid to the water pump with the pH value of adjustment water, can set Up 1 to 2 peristaltic pumps of managing PH Down liquid or PH Up liquid respectively according to the demand.
Similarly, when the EC sensor detects that the ion concentration of the water body is inconsistent with the hydroponic plant growth control model of the adoption, the cloud server can send a correction instruction to enable the peristaltic pump corresponding to the control module to pump the nutrient solution into the water body so as to adjust the ion concentration of the water body, and the peristaltic pumps can be set according to the requirements to respectively manage the pumping of various nutrient solutions.
The water pump or the electromagnetic pump is used for injecting water into the culture water tank, and when the liquid level sensor detects that the water level in the culture water tank is lower than a preset value, the main control module can control the water pump to pump water from the water storage tank to the culture water tank for supplement, or control the electromagnetic pump to start tap water to supplement water into the culture water tank;
the air humidifier is used for humidifying the environment and cooling the leaf surfaces of the plants;
when the temperature and humidity sensor detects that the temperature and humidity near the leaf surface are inconsistent with the preset value, the cloud server can send a correction instruction to enable the main control module to control the air humidifier to humidify the environment, and the temperature of the leaf surface of the plant is reduced.
The control switch with the PWM capability is used for adjusting the light intensity of the LED plant lamp.
When the illuminance sensor detects that the illuminance near the leaf surface is insufficient, the cloud server can send a correction instruction to enable the main control module to control and adjust the light intensity of the LED plant lamp so as to supplement the illumination.
In order to facilitate the interaction between the user side and the cloud server, the main control module comprises a communication submodule, and the communication submodule is a wireless communication submodule.
In this embodiment, the main control module of the user side adopts the wifi submodule to access the network, so that a large amount of connection work is avoided, and the system can adopt the LoRa remote communication module to transmit signals for application scenes beyond the wifi effective range.
The cloud server is used for analyzing the hydroponic plant growth data acquired by the user side and issuing a correction instruction for adjusting the hydroponic plant growth environment to the user side according to a preset plant growth model.
The cloud server is a multi-tenant service application, continuously stores data collected and reported from a user side, analyzes and processes image data in the data to obtain the growth state of plants, including health, leaf crown size and the like, the data can be led into an AI system, and the hydroponic plant growth control model is continuously improved through machine learning.
The early hydroponic plant growth control model is designed based on empirical data. The hydroponic plant growth control model provides a set of mechanism to describe the control time of growth elements, the instantiated result is a set of control program (program or recipe), the cloud server can continuously check the latest hydroponic plant growth data of each user end, the latest hydroponic plant growth data is compared with the hydroponic plant growth control program selected by a user, a deviation rectification instruction is issued when deviation occurs, and specific behaviors specific to a certain element are activated, such as adjusting the pH value of a water body, adjusting the ion concentration of the water body, supplementing the water body and the like.
The cloud server specifically comprises an analysis module, a plant growth program library and a plant growth parameter decision module,
the analysis module is used for analyzing the hydroponic plant growth data uploaded by the user side and comparing the hydroponic plant growth data with the corresponding hydroponic plant growth control model in the plant growth program library to obtain difference data;
the water planting plant growth data comprises EC concentration, PH value and illumination, and the analysis module compares the EC concentration, PH value and illumination collected by the user side with corresponding data of a water planting plant growth control model in a plant growth program library to find out difference data.
The plant growth parameter decision module is used for generating a correction instruction according to the difference data;
and generating a correction instruction according to the difference data, such as increasing the pH value, decreasing the pH value, increasing the ion concentration, decreasing the ion concentration or switching on and off an electromagnetic valve to supplement the water body.
The plant growth program library is used for storing a hydroponic plant growth control model.
The vegetation control model of initial stage is based on empirical data design, and along with the data that come from the user collection are constantly stored to the high in the clouds server, through machine learning, can constantly improve vegetation control model.
The plant growth control model provides a set of mechanism to describe the control opportunity of the growth elements, and the instantiated result is a set of control program, for example, the pH value, the ion concentration, the illuminance and the like required by the water body at any time interval, the cloud server can continuously check the latest hydroponic plant growth data of each user end, compares the hydroponic plant growth control program selected by the user, and sends a deviation rectifying instruction when deviation occurs to activate the specific behavior aiming at a certain element.
For the plant growth control model, the invention can flexibly define each stage (generally calendar days) of the plant growth and the growth control parameters of each time period of each day in the stage: the system can automatically issue control commands (such as adjusting the pH value of the water body, adjusting the ion concentration of the water body, supplementing the water body and the like) according to the EC concentration, the pH value, the illumination and the like and by combining the data just collected by each sensor. The growth model is expressed in json, and one specific template is illustrated below (/) annotated:
the parameter control must be based on the constant water capacity, the liquid level control only controls the lowest position, and when the liquid level is lower than the lowest position, the water replenishing facility is automatically started.
Referring to fig. 1, the cloud server includes a Web interface, and a user can access the Web interface through a terminal to obtain real-time data, historical data, and control instruction execution history of a user side corresponding to the user, where the terminal includes a mobile phone, a tablet computer, and a personal computer.
And the cloud server and the user side interact through a Web Socket communication protocol.
Because general home WiFi has no fixed public network address, a firewall needs to be configured for external access, which is very difficult for users with general computer application skills, and based on a continuous two-way communication mechanism initiated by a client, such as Web Socket, the user can penetrate through a firewall control actuator without configuring firewall data. When the user side is connected with the network for the first time, the system plays a WiFi AP built-in Web server for 30 minutes at most, and the user can configure the address of the WiFi AP and system parameters through the WiFi AP built-in Web server.
The hydroponic plant growth data comprises leaf surface size data, and the leaf surface size data is identified through the following steps:
finding a reference slice to obtain an amplification factor of the reference slice;
in this embodiment, a red reference slice with a large contrast difference from a green plant is adopted, an HSV color system image of the image is obtained first, filtered by a red filter, and then an open-close algorithm is applied, and then, in a group of obtained contours, a square object with the highest similarity is found according to the circumference and the shape, and the number of image points on the longest side is obtained, so that the number of image points corresponding to each centimeter is obtained, namely, the amplification factor.
Identifying the outline of the plant leaf in the picture;
obtaining an HSV color system graph of a picture, applying a green filter AND an opening AND closing algorithm, performing AND operation with an original picture, performing a CIVE algorithm AND homogenizing dot matrix values on the result after operation, then performing threshold noise reduction treatment by adopting an inversion AND OTSU algorithm, discarding an oversize, square, round AND non-centered outline in a group of outline objects of the result, AND obtaining the maximum outline which is the outline of a plant leaf.
And calculating the size of the leaf surface according to the amplification factor to obtain leaf surface size data.
And calculating the leaf surface size data according to the number of image points corresponding to each centimeter in the amplification factor.
From the above description, the beneficial effects of the present invention are: the system automatically issues a control command according to the current plant growth environmental parameters and the plant growth model, adjusts the parameters to maintain the plant growth environmental parameters in a specified range, and in addition, expresses the growth state of the plant in a data mode through picture analysis. Therefore, a set of closed loop from external factors to a growth result is established, a subsequent big data analysis optimal growth model is facilitated, and for a common user, the threshold of the planting technology of the hydroponic plants is greatly reduced.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. The utility model provides a water planting plant automatic control system which characterized in that: comprises a user end and a cloud end server, the user end and the cloud end server carry out data interaction through an Internet network,
the user side is used for acquiring hydroponic plant growth data, uploading the hydroponic plant growth data to the cloud server, and executing hydroponic plant growth environment correction according to a correction instruction from the cloud server;
the cloud server is used for analyzing the hydroponic plant growth data acquired by the user side and issuing a correction instruction for adjusting the hydroponic plant growth environment to the user side according to a preset plant growth model.
2. The automatic hydroponic plant control system of claim 1, wherein: the user side comprises a liquid temperature sensor, a PH sensor, an EC sensor, a liquid level sensor, a flowmeter, a temperature and humidity sensor, an illuminance sensor and a plurality of actuators,
the liquid temperature sensor is used for monitoring the temperature of the water body;
the PH sensor is used for monitoring the pH value of the water body;
the EC sensor is used for monitoring the ion concentration of the water body;
the liquid level sensor is used for monitoring the liquid level height of the culture water tank;
the flowmeter is used for monitoring water flow;
the temperature and humidity sensor is used for monitoring the humidity of the plant leaf surface;
the illuminance sensor is used for monitoring the illuminance of the plant leaf surface;
the executor is used for executing the correction instruction from the cloud server.
3. The automatic hydroponic plant control system of claim 2, wherein: the actuator comprises a heating rod, a refrigerator, a peristaltic pump, a water pump or an electromagnetic pump, an air humidifier and a control switch with PWM (pulse width modulation) capability,
the heating rod is used for heating the water body;
the refrigerator is used for cooling the water body;
the peristaltic pump is used for pumping pH value adjusting liquid and nutrient solution into a water body;
the water pump or the electromagnetic pump is used for injecting water into the culture water tank;
the air humidifier is used for humidifying the environment and cooling the leaf surfaces of the plants;
the control switch with the PWM capability is used for adjusting the light intensity of the LED plant lamp.
4. The automatic hydroponic plant control system of claim 3, wherein: the user side still includes host system, host system respectively with liquid temperature sensor, PH sensor, EC sensor, level sensor, flowmeter, temperature and humidity sensor and light intensity sensor have digital signal to connect, host system is used for gathering the monitoring data of each sensor and packing for water planting vegetation data to reach the high in the clouds server on water planting vegetation data, and receive the correction instruction of high in the clouds server, correspond executor function adjustment water planting vegetation environment according to correction instruction control.
5. The automatic hydroponic plant control system of claim 4, wherein: the master control module comprises a communication submodule, and the communication submodule is a wireless communication submodule.
6. The automatic hydroponic plant control system of claim 5, wherein: the user side further comprises an image sensor, the image sensor is connected with the main control module, and the image sensor is used for acquiring image data of the plant leaf surface.
7. The automatic hydroponic plant control system of claim 1, wherein: the cloud server comprises an analysis module, a plant growth program library and a plant growth parameter decision module,
the analysis module is used for analyzing the hydroponic plant growth data uploaded by the user side and comparing the hydroponic plant growth data with the corresponding hydroponic plant growth control model in the plant growth program library to obtain difference data;
the plant growth parameter decision module is used for generating a correction instruction according to the difference data;
the plant growth program library is used for storing a hydroponic plant growth control model.
8. The automatic hydroponic plant control system of claim 7, wherein: the cloud server comprises a Web interface, a user can access the Web interface through a terminal to obtain real-time data, historical data and control instruction execution history of the user corresponding to the user side, and the terminal comprises a mobile phone, a tablet personal computer and a personal computer.
9. The automatic hydroponic plant control system of claim 8, wherein: and the cloud server and the user side interact through a Web Socket communication protocol.
10. The automatic hydroponic plant control system of claim 9, wherein: the hydroponic plant growth data comprises leaf surface size data, and the leaf surface size data is identified through the following steps:
finding a reference slice to obtain an amplification factor of the reference slice;
identifying the outline of the plant leaf in the picture;
and calculating the size of the leaf surface according to the amplification factor to obtain leaf surface size data.
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| CN111693092A (en) * | 2020-06-12 | 2020-09-22 | 响水县春秋园农副产品有限公司 | Intelligent plant water planting environmental parameter detecting system |
| CN112255951A (en) * | 2020-10-28 | 2021-01-22 | 西安中智电气创新技术有限公司 | Plant growth management and control method, device and storage medium |
| CN113349045A (en) * | 2021-07-15 | 2021-09-07 | 安徽金晟达生物电子科技有限公司 | Double-tower-based continuous water culture pasture cultivation control system and working method thereof |
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