CN113503911A - Crop growth environment monitoring system based on big data - Google Patents
Crop growth environment monitoring system based on big data Download PDFInfo
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- CN113503911A CN113503911A CN202110621575.5A CN202110621575A CN113503911A CN 113503911 A CN113503911 A CN 113503911A CN 202110621575 A CN202110621575 A CN 202110621575A CN 113503911 A CN113503911 A CN 113503911A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 23
- 238000001514 detection method Methods 0.000 claims abstract description 47
- 239000002689 soil Substances 0.000 claims abstract description 46
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 22
- 238000003973 irrigation Methods 0.000 claims abstract description 18
- 238000004891 communication Methods 0.000 claims abstract description 17
- 230000002262 irrigation Effects 0.000 claims abstract description 17
- 238000005286 illumination Methods 0.000 claims abstract description 15
- 241000607479 Yersinia pestis Species 0.000 claims abstract description 13
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 11
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 11
- 239000000575 pesticide Substances 0.000 claims abstract description 11
- 238000012806 monitoring device Methods 0.000 claims abstract description 10
- 235000016709 nutrition Nutrition 0.000 claims abstract description 10
- 230000035764 nutrition Effects 0.000 claims abstract description 10
- 238000005507 spraying Methods 0.000 claims abstract description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 241000238631 Hexapoda Species 0.000 claims description 7
- 235000015097 nutrients Nutrition 0.000 claims description 5
- 239000007921 spray Substances 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 3
- 238000012271 agricultural production Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000009313 farming Methods 0.000 description 1
- 230000035558 fertility Effects 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000010899 nucleation Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2612—Data acquisition interface
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Abstract
The invention discloses a crop growth environment monitoring system based on big data, which belongs to the field of intelligent agriculture and comprises a cloud computing platform, a data comparison module, a data acquisition module, a soil nutrition detection module, a soil PH value detection module, a soil humidity detection module, an air humidity sensor, a carbon dioxide sensor, an illumination sensor, a pest detection module, a database, a communication module, a monitoring device, an intelligent terminal, a controller, a pesticide spraying device and an irrigation device, wherein the data comparison module, the database, the communication module and the monitoring device are respectively connected with the cloud computing platform, and the data acquisition module is connected with the data comparison module.
Description
Technical Field
The invention relates to the field of intelligent agriculture, in particular to a crop growth environment monitoring system based on big data.
Background
Agricultural big data is the practice of big data ideas, techniques and methods in agriculture. The agricultural big data relates to various links such as ploughing, seeding, fertilizing, killing insects, harvesting, storing, breeding and the like, and is data analysis and mining across industries, professions and businesses and data visualization. The agricultural production management mainly refers to integrating traditional statistical data and agricultural resource management information and carrying out targeted planting management on crops in different management areas. Quantitatively acquiring information of environmental factors (such as soil fertility, water content, seedling conditions, plant diseases and insect pests and the like) influencing the growth of crops in different areas with large differences of planting influencing factors, analyzing the reasons influencing the yield differences of the areas, and taking technically feasible and economically effective farming measures to treat the areas in a differentiated manner. Therefore, the comprehensive management of agricultural environment information becomes the key for realizing modern management of agricultural production.
At present, the monitoring aiming at most of agricultural greenhouse environment is passive and laggard, and the informatization and intellectualization levels are not high.
Disclosure of Invention
The invention aims to provide a crop growth environment monitoring system based on big data, so as to solve the problems of passive and backward monitoring and low informatization and intelligentization level in the background technology.
In order to achieve the above objects and other related objects, the present invention provides the following technical solutions: a crop growth environment monitoring system based on big data comprises a cloud computing platform, a data comparison module, a data acquisition module, a soil nutrition detection module, a soil PH value detection module, a soil humidity detection module, an air humidity sensor, a carbon dioxide sensor, an illumination sensor, a pest detection module, a database, a communication module, a monitoring device, an intelligent terminal, a controller, a pesticide spraying device and an irrigation device, wherein the data comparison module, the database, the communication module and the monitoring device are respectively connected with the cloud computing platform, the data acquisition module is connected with the data comparison module, the soil nutrition detection module, the soil PH value detection module, the soil humidity detection module, the air humidity sensor, the carbon dioxide sensor, the illumination sensor and the pest detection module are respectively connected with the data acquisition module, and the intelligent terminal is connected with the communication module, the intelligent terminal is connected with the controller, the pesticide spraying device and the irrigation device are respectively connected with the controller, and the irrigation device comprises a beam frame (1), a water inlet device (2), a pipeline (3), a lantern ring (4), a water pipe (5), an adjusting valve (6), a spray head (7) and an irrigation structure (8);
preferably, the soil nutrient detection module is an HED-GT4 soil nutrient detector.
Preferably, the soil pH value detection module is an FT-TPH intelligent soil pH tester.
Preferably, the soil humidity detection module is a YWSD100 soil temperature and humidity detector.
Preferably, the air humidity sensor is an SA7101 sensor.
Preferably, the illumination sensor is a JXBS-7001-GZ illumination sensor.
Preferably, the communication module is a 4G/5G/WI FI module.
Preferably, the monitoring device is a camera.
After the technical scheme is sampled, the invention has the beneficial effects that: the crop growth environment monitoring system based on the big data comprehensively utilizes a big data analysis technology to manage and monitor agricultural ecological environment information in real time for 24 hours. The system analyzes the growth environment to obtain the environmental data most suitable for the growth of crops, provides data support for the high yield and income increase of the crops, and improves the modernization technology and the management level of agriculture.
Drawings
FIG. 1 is a schematic structural view of the present invention;
fig. 2 is a schematic view of the structure of the irrigation device of the present invention.
The labels in the figure are: 1-beam frame, 2-water inlet device, 3-pipeline, 4-lantern ring, 5-water pipe, 6-regulating valve, 7-spray head, 8-irrigation structure.
Detailed Description
As shown in figure 1, the invention discloses a crop growth environment monitoring system based on big data, which comprises a cloud computing platform, a data comparison module, a data acquisition module, a soil nutrition detection module, a soil PH value detection module, a soil humidity detection module, an air humidity sensor, a carbon dioxide sensor, an illumination sensor, a pest detection module, a database, a communication module, a monitoring device, an intelligent terminal, a controller, a pesticide spraying device and an irrigation device, wherein the data comparison module, the database, the communication module and the monitoring device are respectively connected with the cloud computing platform, the data acquisition module is connected with the data comparison module, the soil nutrition detection module, the soil PH value detection module, the soil humidity detection module, the air humidity sensor, the carbon dioxide sensor, the insect pest detection module, the database, the communication module, the monitoring device and the irrigation device, The illumination sensor with insect pest detection module respectively with the data acquisition module is connected, intelligent terminal with communication module connects, the controller is connected intelligent terminal, pesticide sprinkler with irrigation equipment respectively with the controller is connected, irrigation equipment includes roof beam structure (1), water inlet ware (2), pipeline (3), the lantern ring (4), water pipe (5), governing valve (6), shower nozzle (7) and irrigates structure (8).
When the intelligent terminal is in practical use, the optimal growth environment data is firstly recorded into a database and a data comparison module, the data acquisition module acquires data uploaded by a soil nutrition detection module, a soil pH value detection module, a soil temperature and humidity sensor, an air humidity sensor, a carbon dioxide sensor, an illumination sensor and a pest detection module and sends the data to the data comparison module, the data comparison module compares the data acquired by the data acquisition module with the optimal growth environment data set in the database and then sends the comparison data to a cloud computing platform, the cloud computing platform starts to analyze and process various data and obtain final data, the final data are sent to the intelligent terminal through a communication module, a user can see various data in the intelligent terminal and can control the controller to control the pesticide spraying device and the irrigation device to be started and closed through the intelligent terminal, monitoring equipment acquires crop growth image information in real time and uploads the crop growth image information, the image data can be sent to the intelligent terminal through the cloud computing platform, so that a user can conveniently check the growth condition of the crops at any time.
By adopting the crop growth environment monitoring system based on the big data, the accuracy of environment detection can be effectively improved, the crop growth condition can be monitored in real time, the manual measurement cost is reduced, and the agricultural modernization technology and the management level are improved.
Claims (8)
1. A crop growth environment monitoring system based on big data is characterized by comprising a cloud computing platform, a data comparison module, a data acquisition module, a soil nutrition detection module, a soil PH value detection module, a soil humidity detection module, an air humidity sensor, a carbon dioxide sensor, an illumination sensor, an insect pest detection module, a database, a communication module, a monitoring device, an intelligent terminal, a controller, a pesticide spraying device and an irrigation device, wherein the data comparison module, the database, the communication module and the monitoring device are respectively connected with the cloud computing platform, the data acquisition module is connected with the data comparison module, the soil nutrition detection module, the soil PH value detection module, the soil humidity detection module, the air humidity sensor, the carbon dioxide sensor, the illumination sensor and the insect pest detection module are respectively connected with the data acquisition module, the intelligent terminal is connected with the communication module, the controller is connected with the intelligent terminal, the pesticide spraying device and the irrigation device are respectively connected with the controller, and the irrigation device comprises a beam frame (1), a water inlet device (2), a pipeline (3), a lantern ring (4), a water pipe (5), an adjusting valve (6), a spray head (7) and an irrigation structure (8);
the monitoring equipment is used for monitoring the growth condition of crops in real time;
the database is used for storing various data uploaded by the cloud computing platform;
the data acquisition module is used for acquiring data of the soil nutrition detection module, the soil pH value detection module, the soil humidity detection module, the air humidity sensor, the carbon dioxide sensor, the illumination sensor and the insect pest detection module;
the data comparison module is used for comparing the data uploaded by the data acquisition module with preset optimal environment data;
the soil nutrition detection module is used for detecting nutrient component data in soil;
the soil pH value detection module is used for detecting the data of the soil pH value;
the soil humidity detection module is used for detecting soil humidity data;
the air humidity sensor is used for acquiring air humidity data;
the carbon dioxide sensor is used for acquiring carbon dioxide content data in the air;
the illumination sensor is used for acquiring illumination data;
the pest detection module is used for detecting data of pests encountered by crops;
the cloud computing platform is used for analyzing and processing the data uploaded by the data comparison module and uploading the data to a database for backup;
the communication module is used for sending a data result analyzed and processed by the cloud computing platform to the intelligent terminal;
the intelligent terminal is used for receiving and displaying the data transmitted by the communication module and can operate the controller;
the controller is used for controlling the pesticide spraying device and the irrigation device;
the pesticide spraying device is used for spraying pesticide to crops;
the irrigation device is used for irrigating crops.
2. The big data based crop growth environment monitoring system of claim 1, wherein: the soil nutrient detection module is an HED-GT4 soil nutrient detector.
3. The big data based crop growth environment monitoring system of claim 1, wherein: the soil pH value detection module is an FT-TPH intelligent soil pH tester.
4. The big data based crop growth environment monitoring system of claim 1, wherein: the soil humidity detection module is a YWSD100 soil temperature and humidity detector.
5. The big data based crop growth environment monitoring system of claim 1, wherein: the air humidity sensor is an SA7101 sensor.
6. The big data based crop growth environment monitoring system of claim 1, wherein: the illumination sensor is a JXBS-7001-GZ illumination sensor.
7. The big data based crop growth environment monitoring system of claim 1, wherein: the communication module is a 4G/5G/WIFI module.
8. The big data based crop growth environment monitoring system of claim 1, wherein: the monitoring equipment is a camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110621575.5A CN113503911A (en) | 2021-05-31 | 2021-05-31 | Crop growth environment monitoring system based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110621575.5A CN113503911A (en) | 2021-05-31 | 2021-05-31 | Crop growth environment monitoring system based on big data |
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| CN202110621575.5A Withdrawn CN113503911A (en) | 2021-05-31 | 2021-05-31 | Crop growth environment monitoring system based on big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114342787A (en) * | 2022-01-24 | 2022-04-15 | 嘉应学院 | Accurate planting management system of tobacco leaf based on thing networking control |
| CN115299326A (en) * | 2022-08-31 | 2022-11-08 | 四川通信科研规划设计有限责任公司 | Intelligent irrigation system based on computational power network scheduling and 5G |
| CN115752562A (en) * | 2022-10-17 | 2023-03-07 | 青芥一合碳汇(武汉)科技有限公司 | Crop planting management method and device, terminal equipment and storage medium |
-
2021
- 2021-05-31 CN CN202110621575.5A patent/CN113503911A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114342787A (en) * | 2022-01-24 | 2022-04-15 | 嘉应学院 | Accurate planting management system of tobacco leaf based on thing networking control |
| CN115299326A (en) * | 2022-08-31 | 2022-11-08 | 四川通信科研规划设计有限责任公司 | Intelligent irrigation system based on computational power network scheduling and 5G |
| CN115752562A (en) * | 2022-10-17 | 2023-03-07 | 青芥一合碳汇(武汉)科技有限公司 | Crop planting management method and device, terminal equipment and storage medium |
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