CN117590884A - Intelligent greenhouse system and control method - Google Patents
Intelligent greenhouse system and control method Download PDFInfo
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- CN117590884A CN117590884A CN202410079448.0A CN202410079448A CN117590884A CN 117590884 A CN117590884 A CN 117590884A CN 202410079448 A CN202410079448 A CN 202410079448A CN 117590884 A CN117590884 A CN 117590884A
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000012010 growth Effects 0.000 claims abstract description 38
- 239000002689 soil Substances 0.000 claims description 35
- 238000012545 processing Methods 0.000 claims description 31
- 230000007613 environmental effect Effects 0.000 claims description 19
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 16
- 238000003860 storage Methods 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 14
- 238000005286 illumination Methods 0.000 claims description 10
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 8
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 8
- 229910052757 nitrogen Inorganic materials 0.000 claims description 8
- 229910052698 phosphorus Inorganic materials 0.000 claims description 8
- 239000011574 phosphorus Substances 0.000 claims description 8
- 239000011591 potassium Substances 0.000 claims description 8
- 229910052700 potassium Inorganic materials 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 6
- 235000013399 edible fruits Nutrition 0.000 claims description 6
- 241000238631 Hexapoda Species 0.000 claims description 5
- 241000607479 Yersinia pestis Species 0.000 claims description 5
- 201000010099 disease Diseases 0.000 claims description 5
- 230000006698 induction Effects 0.000 claims description 5
- 238000007664 blowing Methods 0.000 claims description 4
- 230000007547 defect Effects 0.000 claims description 4
- 239000003337 fertilizer Substances 0.000 claims description 4
- 238000005096 rolling process Methods 0.000 claims description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 230000001939 inductive effect Effects 0.000 claims description 3
- 230000001502 supplementing effect Effects 0.000 claims description 3
- WZLMXYBCAZZIRQ-UHFFFAOYSA-N [N].[P].[K] Chemical compound [N].[P].[K] WZLMXYBCAZZIRQ-UHFFFAOYSA-N 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 238000012544 monitoring process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000009423 ventilation Methods 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 235000021049 nutrient content Nutrition 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- 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
-
- 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
Abstract
The invention relates to the technical field of greenhouse planting, in particular to an intelligent greenhouse system and a control method. The control method of the intelligent greenhouse system comprises the following steps: step one: receiving collected data information; step two: comparing the acquired data information with the crop growth environment standard in the greenhouse, and sending the comparison result to the planter terminal; step three: and the feedback instruction of the planter terminal is received, the execution equipment is controlled to perform related running operation, and the expenditure of the cost of labor, machinery and the like is reduced and the production cost is reduced through an automatic and intelligent management means.
Description
Technical Field
The invention relates to the technical field of greenhouse planting, in particular to an intelligent greenhouse system and a control method.
Background
At present, agricultural planting has developed from traditional planting to large-scale base planting, but the development bottleneck that large-scale base planting met is that management cost is high, and the daily management of big-arch shelter is loaded down with trivial details, for example needs to carry out the operation problems such as roller shutter, blowing, temperature control, humidity control, solar control daily and lead to management cost to be high and not down, and the soil moisture content of every plot is not unified in addition, does not have professional planting knowledge, and the accurate regulation and control of soil and planting environment hardly reaches higher planting output, simultaneously can not accomplish and effectual control and the processing to the growing environment of crops in the big-arch shelter.
Disclosure of Invention
The invention aims to solve the technical problems that: the intelligent greenhouse system and the control method overcome the defects of the prior art, can realize intelligent monitoring of the greenhouse growth environment, and realize the effects of increasing production and income and reducing labor cost.
The invention adopts the technical proposal for solving the technical problems that: the intelligent greenhouse system comprises a control processing module, wherein the control processing module is connected with a data receiving module and a storage module, and the data receiving module is connected with the sensing equipment and the image recognition unit through communication of a communication module;
the induction equipment is positioned in the greenhouse and is used for inducing environmental information in the greenhouse;
the image recognition unit is used for photographing crops;
the control processing module is connected with execution equipment through the communication module, and the execution equipment is positioned in the greenhouse and used for adjusting the environment in the greenhouse;
the data receiving module is used for receiving the sensed environmental information in the greenhouse and respectively sending the information to the control processing module and the storage module;
the storage module is used for storing related data information;
the control processing module is connected with the grower terminal, and is used for judging whether crops normally grow according to the environmental information in the greenhouse sent by the data receiving module, sending a judging result to the corresponding grower terminal, receiving grower feedback information, and controlling the execution equipment to execute related commands.
Preferably, the sensing device comprises an air temperature and humidity sensor, a soil temperature and humidity sensor and CO 2 One or more of a sensor, a soil EC value sensor, an illumination sensor, a PH value sensor and a nitrogen, phosphorus and potassium sensor.
Preferably, the environmental information comprises temperature and humidity in the greenhouse, soil temperature and humidity and CO 2 Concentration, soil EC value, illumination intensity, PH value, nitrogen-phosphorus-potassium content, and snow and rain conditions.
Preferably, the image recognition unit comprises cameras arranged around crops.
Preferably, the execution equipment comprises one or more of a blowing machine, a curtain rolling machine, a water and fertilizer integrated machine and a light supplementing lamp.
Preferably, the data receiving module is connected with a soil detection service station through a communication module.
The control method applied to the intelligent greenhouse system comprises the following steps:
step 1: receiving collected data information;
1.1 Air temperature and humidity sensors, soil temperature and humidity sensors and CO are respectively arranged in each corner and soil in the greenhouse 2 One or more of a sensor, a soil EC value sensor, an illumination sensor, a PH value sensor and a nitrogen, phosphorus and potassium sensor, wherein each sensor is used for periodically collecting data;
1.2 Shooting machines are arranged on the periphery, the top and the bottom of the plant and are respectively used for regularly shooting plant photos, and shooting the plant state as a subsequent comparison basis;
step 2: comparing the acquired data information with the crop growth environment standard in the greenhouse, and sending the comparison result to the planter terminal;
2.1, establishing corresponding growth environment standards according to environment parameters required by different crops, simultaneously establishing standard growth models of 'buds', 'stems', 'leaves', 'fruits' for the growth process of the crops, and establishing common plant diseases and insect pests defect models;
2.2, the sensing equipment periodically collects environmental data growth photos, the data are transmitted into the storage module through the data receiving module, and the control processing module compares the processed data with crop growth environmental standards in the greenhouse;
2.3 sensor data are calculated as follows:
the humidity sensor has the following calculation formula:
SD= Srh/(216-1) *100；
the temperature sensor has the following calculation formula:
T=-45+St /(216-1) *175；
the other sensors directly adopt the data transmitted by the sensors to display;
2.4, determining the subsequent growth condition according to the growth progress of the crops by an image recognition unit, switching recognition objects, and respectively shooting images of 'buds', 'stems', 'leaves', 'fruits'; the shot image transmits data to the storage module through the data receiving module, and the control processing module processes the data and performs comparison analysis with the growth model;
2.5, the control processing module processes the image data collected in the database into readable binary characteristic data, extracts binary data with characteristic points, and marks the extracted binary data with the characteristic points; and carrying out differential comparison on the marked binary data with the same feature point, determining the feature point difference feature, and judging the growth trend of the same feature point according to the feature point difference feature threshold.
Step 3: and receiving a feedback instruction of the planter terminal, and controlling the execution device to perform related running operation.
For example, if the temperature and humidity of the air in the greenhouse are fed back to be wet, and the growth of the crops is not facilitated, the comparison result is fed back to the grower terminal, and the opening of the fan is recommended to be performed for ventilation treatment.
And the planter issues related instructions according to the feedback information of the terminal, if the air blower is opened, the control processing module receives the instructions to control the air blower to be opened.
Further, after the soil detection service station detects the collected data, an expert gives a suggestion and uploads the result to the control processing module.
Compared with the prior art, the invention has the following beneficial effects:
1. the intelligent greenhouse can acquire and monitor the environmental change and the crop growth state in the greenhouse in real time through intelligent data acquisition, corresponding measures are taken in time, occurrence of diseases and insect pests is avoided, and production efficiency is improved.
2. The intelligent greenhouse can optimize the agricultural production flow through data analysis and intelligent control, improve the growth speed and the yield of crops, reduce waste and resource consumption simultaneously, and improve the product quality.
3. The intelligent greenhouse can reduce the expenditure of cost such as manpower, machinery and the like and reduce the production cost through an automatic and intelligent management means.
4. The intelligent greenhouse can realize comprehensive control of the environment, the crop growth state and the like in the greenhouse through intelligent data acquisition and monitoring, and the safety is improved.
Drawings
FIG. 1 is a frame diagram of the present invention;
fig. 2 is a frame diagram of embodiment 1 of the present invention.
Detailed Description
Embodiments of the invention are further described below with reference to the accompanying drawings:
examples
As shown in fig. 1, the intelligent greenhouse system comprises a control processing module, wherein the control processing module is connected with a data receiving module and a storage module, and the data receiving module is in communication connection with an induction device and an image recognition unit through a communication module;
the induction equipment is positioned in the greenhouse and is used for inducing environmental information in the greenhouse;
the image recognition unit is used for photographing crops;
the control processing module is connected with execution equipment through the communication module, and the execution equipment is positioned in the greenhouse and used for adjusting the environment in the greenhouse;
the data receiving module is used for receiving the sensed environmental information in the greenhouse and respectively sending the information to the control processing module and the storage module;
the storage module is used for storing related data information;
the control processing module is connected with the grower terminal, and is used for judging whether crops normally grow according to the environmental information in the greenhouse sent by the data receiving module, sending a judging result to the corresponding grower terminal, receiving grower feedback information, and controlling the execution equipment to execute related commands.
Preferably, the sensing device comprises an air temperature and humidity sensor, a soil temperature and humidity sensor and CO 2 One or more of a sensor, a soil EC value sensor, an illumination sensor, a PH value sensor and a nitrogen, phosphorus and potassium sensor.
Preferably, the environmental information comprises temperature and humidity in the greenhouse, soil temperature and humidity and CO 2 Concentration, soil ECOne or more of value, illumination intensity, pH value, nitrogen, phosphorus and potassium content.
Preferably, the image recognition unit comprises cameras arranged around crops.
Preferably, the execution equipment comprises one or more of a blowing machine, a curtain rolling machine, a water and fertilizer integrated machine and a light supplementing lamp.
Preferably, the data receiving module is connected with a soil detection service station through a communication module, and the control processing module
And the system can also be in communication connection with an expert platform to realize online communication between a planter and an expert.
The control method applied to the intelligent greenhouse system comprises the following steps:
step 1: receiving collected data information;
1.1 Air temperature and humidity sensors, soil temperature and humidity sensors and CO are respectively arranged in each corner and soil in the greenhouse 2 One or more of a sensor, a soil EC value sensor, an illumination sensor, a PH value sensor and a nitrogen, phosphorus and potassium sensor, wherein each sensor is used for periodically collecting data;
1.2 Shooting machines are arranged on the periphery, the top and the bottom of the plant and are respectively used for regularly shooting plant photos, and shooting the plant state as a subsequent comparison basis;
step 2: comparing the acquired data information with the crop growth environment standard in the greenhouse, and sending the comparison result to the planter terminal;
2.1, establishing corresponding growth environment standards according to environment parameters required by different crops, simultaneously establishing standard growth models of 'buds', 'stems', 'leaves', 'fruits' for the growth process of the crops, and establishing common plant diseases and insect pests defect models;
2.2, the sensing equipment periodically collects environmental data growth photos, the data are transmitted into the storage module through the data receiving module, and the control processing module compares the processed data with crop growth environmental standards in the greenhouse;
2.3 sensor data are calculated as follows:
the humidity sensor has the following calculation formula:
SD= Srh/(216-1) *100；
the temperature sensor has the following calculation formula:
T=-45+St /(216-1) *175；
srh and St represent raw sensor output data values for humidity and temperature, respectively;
the other sensors directly adopt the data transmitted by the sensors to display;
2.4, determining the subsequent growth condition according to the growth progress of the crops by an image recognition unit, switching recognition objects, and respectively shooting images of 'buds', 'stems', 'leaves', 'fruits'; the shot image transmits data to the storage module through the data receiving module, and the control processing module processes the data and performs comparison analysis with the growth model;
2.5, the control processing module processes the image data collected in the database into readable binary characteristic data, extracts binary data with characteristic points, and marks the extracted binary data with the characteristic points; and carrying out differential comparison on the marked binary data with the same feature point, determining the feature point difference feature, and judging the growth trend of the same feature point according to the feature point difference feature threshold.
Step 3: and receiving a feedback instruction of the planter terminal, and controlling the execution device to perform related running operation.
For example, if the temperature and humidity of the air in the greenhouse are fed back to be wet, and the growth of the crops is not facilitated, the comparison result is fed back to the grower terminal, and the opening of the fan is recommended to be performed for ventilation treatment.
And the planter issues related instructions according to the feedback information of the terminal, if the air blower is opened, the control processing module receives the instructions to control the air blower to be opened.
Further, after the soil detection service station detects the collected data, an expert gives a suggestion and uploads the result to the control processing module.
The greenhouse control system can monitor the weather conditions of rain and snow in the greenhouse, the air temperature, the air humidity, the soil temperature, the soil humidity, the CO2 content in the greenhouse, the soil EC value, the illumination intensity, the PH value, the nitrogen, phosphorus and potassium content parameters in real time, control the change of the plant growth environment of the greenhouse and the growth condition of crops in real time, can carry out remote control of an air release machine, a curtain rolling machine and a water and fertilizer integrated machine on the greenhouse, and solves the problems of untimely large-scale planting management, high labor cost and the like. The method has the advantages that the reasons for low plant diseases and insect pests in the greenhouse can be found through soil detection service, plant protection experts can be found if problems are encountered in planting, the current greenhouse is provided with real-time monitoring data and soil detection data, the plant protection experts can accurately judge the planting problems remotely, scientific planting management proposal schemes and platform agricultural products are proposed, farmers can conveniently and quickly solve the professional problems encountered in planting, the yield of greenhouse crops is improved, the problem that the current greenhouse planting can only be planted by experience, and the yield is low due to the fact that the planting management technology is relatively lagged is solved. The problem that large-scale planting and management cannot be realized due to complicated daily management is solved. The method solves the problems that the current greenhouse planting needs to be planted blindly by experience, the soil nutrient content condition is not clear, and the weather air planting environment is not timely changed, so that the yield is low, the risk is high, the medicine is not used in disorder, the management is inaccurate, the food safety is poor, the management is not timely, and the like.
Claims (8)
1. The intelligent greenhouse system is characterized by comprising a control processing module, wherein the control processing module is connected with a data receiving module and a storage module, and the data receiving module is in communication connection with an induction device and an image recognition unit through a communication module;
the induction equipment is positioned in the greenhouse and is used for inducing environmental information in the greenhouse;
the image recognition unit is used for photographing crops;
the control processing module is connected with execution equipment through the communication module, and the execution equipment is positioned in the greenhouse and used for adjusting the environment in the greenhouse;
the data receiving module is used for receiving the sensed environmental information in the greenhouse and respectively sending the information to the control processing module and the storage module;
the storage module is used for storing related data information;
the control processing module is connected with the grower terminal, and is used for judging whether crops normally grow according to the environmental information in the greenhouse sent by the data receiving module, sending a judging result to the corresponding grower terminal, receiving grower feedback information, and controlling the execution equipment to execute related commands.
2. The intelligent greenhouse system of claim 1, wherein the sensing device comprises an air temperature and humidity sensor, a soil temperature and humidity sensor, a CO 2 One or more of a sensor, a soil EC value sensor, an illumination sensor, a PH value sensor and a nitrogen, phosphorus and potassium sensor.
3. The intelligent greenhouse system according to claim 1, wherein the environmental information includes temperature and humidity, soil temperature and humidity, CO in the greenhouse 2 Concentration, soil EC value, illumination intensity, PH value, nitrogen-phosphorus-potassium content, and snow and rain conditions.
4. The intelligent greenhouse system of claim 1, wherein the image recognition unit comprises cameras disposed around the crop.
5. The intelligent greenhouse system of claim 1, wherein the executing equipment comprises one or more of a blowing machine, a curtain rolling machine, a water and fertilizer integrated machine and a light supplementing lamp.
6. The intelligent greenhouse system according to claim 1, wherein the data receiving module is connected with a soil detection service station through a communication module.
7. The control method applied to the intelligent greenhouse system as claimed in any one of claims 1 to 6, comprising the steps of:
step 1: receiving collected data information;
1.1 Air temperature and humidity sensors, soil temperature and humidity sensors and CO are respectively arranged in each corner and soil in the greenhouse 2 One or more of a sensor, a soil EC value sensor, an illumination sensor, a PH value sensor and a nitrogen, phosphorus and potassium sensor, wherein each sensor is used for periodically collecting data;
1.2 Shooting machines are arranged on the periphery, the top and the bottom of the plant and are respectively used for regularly shooting plant photos, and shooting the plant state as a subsequent comparison basis;
step 2: comparing the acquired data information with the crop growth environment standard in the greenhouse, and sending the comparison result to the planter terminal;
2.1, establishing corresponding growth environment standards according to environment parameters required by different crops, simultaneously establishing standard growth models of 'buds', 'stems', 'leaves', 'fruits' for the growth process of the crops, and establishing common plant diseases and insect pests defect models;
2.2, the sensing equipment periodically collects environmental data growth photos, the data are transmitted into the storage module through the data receiving module, and the control processing module compares the processed data with crop growth environmental standards in the greenhouse;
2.3 sensor data are calculated as follows:
the humidity sensor has the following calculation formula:
SD= Srh/(216-1) *100；
the temperature sensor has the following calculation formula:
T=-45+St /(216-1) *175；
the other sensors directly adopt data transmitted by the sensors for display;
2.4, determining the subsequent growth condition according to the growth progress of the crops by an image recognition unit, switching recognition objects, and respectively shooting images of 'buds', 'stems', 'leaves', 'fruits'; the shot image transmits data to the storage module through the data receiving module, and the control processing module processes the data and performs comparison analysis with the growth model;
2.5, the control processing module processes the image data collected in the database into readable binary characteristic data, extracts binary data with characteristic points, and marks the extracted binary data with the characteristic points; carrying out differential comparison on the marked binary data with the same feature point, determining the feature point difference feature, and judging the growth trend of the same feature point according to the feature point difference feature threshold;
step 3: and receiving a feedback instruction of the planter terminal, and controlling the execution device to perform related running operation.
8. The control method of intelligent greenhouse system according to claim 7, wherein after the soil detection service station detects the collected data, an expert gives advice and uploads the result to the control processing module.
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| CN202410079448.0A CN117590884A (en) | 2024-01-19 | 2024-01-19 | Intelligent greenhouse system and control method |
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| CN202410079448.0A CN117590884A (en) | 2024-01-19 | 2024-01-19 | Intelligent greenhouse system and control method |
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