CN114543869A - Agricultural braced system based on internet of things - Google Patents
Agricultural braced system based on internet of things Download PDFInfo
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- CN114543869A CN114543869A CN202011293484.5A CN202011293484A CN114543869A CN 114543869 A CN114543869 A CN 114543869A CN 202011293484 A CN202011293484 A CN 202011293484A CN 114543869 A CN114543869 A CN 114543869A
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- 230000007613 environmental effect Effects 0.000 claims abstract description 31
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- 238000012545 processing Methods 0.000 claims abstract description 21
- 230000012010 growth Effects 0.000 claims abstract description 15
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- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 12
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 12
- 238000005516 engineering process Methods 0.000 claims abstract description 11
- 230000005540 biological transmission Effects 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims description 71
- 238000004519 manufacturing process Methods 0.000 claims description 12
- 238000007726 management method Methods 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 8
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- 241000607479 Yersinia pestis Species 0.000 claims description 6
- 201000010099 disease Diseases 0.000 claims description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 6
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 230000000877 morphologic effect Effects 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000008635 plant growth Effects 0.000 abstract description 4
- 238000004891 communication Methods 0.000 abstract description 2
- 238000004171 remote diagnosis Methods 0.000 abstract description 2
- 238000004088 simulation Methods 0.000 abstract description 2
- 230000000007 visual effect Effects 0.000 abstract description 2
- 238000012271 agricultural production Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
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- 238000013135 deep learning Methods 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
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- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
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Abstract
The invention discloses an agricultural support system based on the technology of the Internet of things, which comprises a data acquisition module, a data transmission module and a data processing module. The invention uses wireless sensor nodes distributed in a target area, thereby acquiring environmental information required by plant growth, such as air temperature, air humidity, soil temperature, soil humidity, carbon dioxide concentration and the like in the target area in real time, transmitting data acquired by various sensors by using a remote wireless communication technology, transmitting and collecting the data to a computer, connecting the computer with the Internet through a wireless gateway, controlling the growth environmental information of the target area in real time through various devices, judging the plant growth condition and changing various growth conditions according to environmental parameters through simulation by a support system, and realizing intelligent management of agricultural visual remote diagnosis, remote control, catastrophe early warning and the like.
Description
Technical Field
The invention relates to the technical field of application of the Internet of things, in particular to an agricultural support system based on the Internet of things technology.
Background
China is a big agricultural country, but is not a strong agricultural country. Agriculture plays a very important role in national strategy and national economy, but in recent years, the high yield in agriculture mainly depends on the large investment of pesticides and chemical fertilizers, most of the chemical fertilizers and water resources are not effectively utilized and are randomly discarded, so that a large amount of nutrients in the land are lost, and a certain degree of environmental pollution is caused.
The traditional agriculture in China has the advantages of mainly relying on abundant natural resources and low labor cost in the international market. However, the traditional crop management mode in China is easily influenced by the environment, and the yield and the quality of crops are limited to a great extent, so that the profit of agricultural practitioners is very serious.
The technology of the internet of things is applied to agricultural production, is a new mode of the fusion development of agriculture and modern information technology, is important content of agricultural informatization, and is also an important embodiment form of 'internet + agriculture' and an important mark of agricultural modernization. Vegetable production is the subject of agricultural production, and the level of modernization represents, to some extent, the level of modernization of the entire agriculture.
In the traditional agricultural system, the production environment of crops mainly depends on sensory experience, one of the traditional agricultural systems cannot carry out all-around supervision and control on the process, has no accurate and reliable quantized data, generally causes unreasonable irrigation, unbalanced soil pH value, serious agricultural pollution, low production efficiency, reduced quality of agricultural products and other problems, the second of the traditional agricultural systems has more defects, can only control partial parameters, and cannot meet the requirements of informatization and networking of agricultural production technology, the degree of automation is low, the temperature control performance is poor, the third of the traditional agricultural systems is that the information acquisition of the growth of crops is not comprehensive, so that the obtained data has low authenticity, and the problem of the appearance of the crops cannot be better solved.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide an agricultural support system based on the technology of the internet of things.
The purpose of the invention can be realized by the following technical scheme:
an agricultural supporting system based on the Internet of things technology comprises a data acquisition module, a data transmission module and a data processing module, wherein the data acquisition module comprises an environmental state monitoring module and a crop state monitoring module, the environmental state monitoring module comprises a wind power monitoring unit, a temperature and humidity monitoring unit, a moisture monitoring unit and a carbon dioxide monitoring unit, the wind power monitoring unit is used for acquiring wind power data in air, the temperature and humidity monitoring unit comprises a temperature sensor and a humidity sensor, the temperature sensor is used for acquiring soil and air temperature data, the humidity sensor is used for acquiring air humidity data, the moisture monitoring unit is used for acquiring data of moisture in soil and air, the carbon dioxide is used for acquiring the carbon dioxide content in soil and air, the crop state monitoring module is used for acquiring image data through real-time video monitoring of a camera, the data acquisition module classifies various data according to requirements, and performs real-time monitoring on a real-time environment and a real-time state, is connected with a plurality of sensor nodes, and transmits the received data to the data processing module after preprocessing; the data transmission module acts between the data acquisition module and the data processing module and provides a data channel medium; the data processing module classifies and sorts various environmental data and crop state data transmitted from the data acquisition module, analyzes the data and stores the data in a corresponding database, so that the data can guide crops in a planting production period and can also provide guidance basis for experts.
Further, the data processing module comprises a remote intelligent monitoring management module and an agricultural expert guidance service module; the remote intelligent monitoring management module intercepts images from videos acquired by the camera through real-time video monitoring, extracts morphological characteristics, color characteristics and texture characteristics related to crops in the video images as comprehensive characteristics, further classifies the extracted comprehensive characteristics of the crops and environmental data by adopting a neural network method, compares the extracted comprehensive characteristics of the crops and the environmental data with the growth state of simulated crops in a database for analysis, sends the analyzed growth state and the analyzed growth state to an online expert of a system for further judgment, feeds corresponding guidance means back to a user, learns the analysis result of the crops, detects diseases and insect pests related to the crops, carries out early warning in time, reports the disease and insect pests to the corresponding user, queries the database, finds out a corresponding solution and forwards the solution to the user; the agricultural expert guidance service module is used for remotely communicating with agricultural related experts when a user has a difficult problem in the crop planting production process, and the experts can check crop planting production sites, historical monitoring data and environmental parameters according to various data and real-time videos to remotely guide the user.
Has the advantages that: the invention uses wireless sensor nodes distributed in a target area, thereby acquiring environmental information required by plant growth, such as air temperature, air humidity, soil temperature, soil humidity, carbon dioxide concentration and the like in the target area in real time, transmitting data acquired by various sensors by using a remote wireless communication technology, transmitting and collecting the data to a computer, connecting the computer with the Internet through a wireless gateway, controlling the growth environmental information of the target area in real time through various devices, judging the plant growth condition and changing various growth conditions according to environmental parameters through simulation by a support system, and realizing intelligent management of agricultural visual remote diagnosis, remote control, catastrophe early warning and the like.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a basic flow diagram of the agricultural support system of the present invention;
fig. 2 is a flow chart of a remote intelligent monitoring management module for crop state according to the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
An agricultural supporting system based on the Internet of things technology comprises a data acquisition module, a data transmission module and a data processing module, wherein the data acquisition module comprises an environmental state monitoring module and a crop state monitoring module, the environmental state monitoring module comprises a wind power monitoring unit, a temperature and humidity monitoring unit, a moisture monitoring unit and a carbon dioxide monitoring unit, the wind power monitoring unit is used for acquiring wind power data in air, the temperature and humidity monitoring unit comprises a temperature sensor and a humidity sensor, the temperature sensor is used for acquiring soil and air temperature data, the humidity sensor is used for acquiring air humidity data, the moisture monitoring unit is used for acquiring data of moisture in soil and air, the carbon dioxide is used for acquiring the carbon dioxide content in soil and air, the crop state monitoring module is used for acquiring image data through real-time video monitoring of a camera, the data acquisition module classifies various data according to requirements, and performs real-time monitoring on a real-time environment and a real-time state, is connected with a plurality of sensor nodes, and transmits the received data to the data processing module after preprocessing; the data transmission module acts between the data acquisition module and the data processing module and provides a data channel medium; the data processing module classifies and sorts various environmental data and crop state data transmitted from the data acquisition module, analyzes the data and stores the data in a corresponding database, thereby guiding crops in a planting production period and providing guidance basis for experts.
Further, the data processing module comprises a remote intelligent monitoring management module and an agricultural expert guidance service module; the remote intelligent monitoring management module intercepts images from videos acquired by the camera through real-time video monitoring, extracts morphological characteristics, color characteristics and texture characteristics related to crops in the video images as comprehensive characteristics, further classifies the extracted comprehensive characteristics of the crops and environmental data by adopting a neural network method, compares the extracted comprehensive characteristics of the crops and the environmental data with the growth state of simulated crops in a database for analysis, sends the analyzed growth state and the analyzed growth state to an online expert of a system for further judgment, feeds corresponding guidance means back to a user, learns the analysis result of the crops, detects diseases and insect pests related to the crops, carries out early warning in time, reports the disease and insect pests to the corresponding user, queries the database, finds out a corresponding solution and forwards the solution to the user; the agricultural expert guidance service module is used for remotely communicating with agricultural related experts when a user has a difficult problem in the crop planting production process, and the experts can check crop planting production sites, historical monitoring data and environmental parameters according to various data and real-time videos to remotely guide the user.
The corresponding environmental parameter information acquired by the data acquisition module can be transmitted through GPRS and can be stored in a corresponding database. The platform can finally present the environmental parameter information in the database to users and experts in the forms of charts and the like so as to carry out intuitive analysis on the users and the experts.
The monitoring and management in the crop planting cycle process comprises environmental state monitoring and early warning, and crop state monitoring and regulation. And a network camera can be installed on a crop planting field for video monitoring. The network cameras are connected with the data center after being connected to the Internet, and a fixed IP address can be distributed to each monitoring camera. The platform inputs the corresponding address into a monitoring server of the data center, so that the video of the camera is further collected, and a user with corresponding authority can monitor the planting site in real time through a monitoring module in the platform. The recorded video is also processed in the data server. The platform related data server automatically analyzes the growth and health conditions of the crops through a deep learning method, and the analysis result is uploaded to the platform related server and fed back to the user in time.
According to the scheme shown in figure 1, the agricultural support system flow is
The method comprises the following steps: the agricultural supporting system collects relevant environmental data through a wind power monitoring unit, a temperature and humidity monitoring unit, a moisture monitoring unit, a carbon dioxide monitoring unit and the like in the data module;
step two: transmitting the data acquired in the step one to a data processing module through a data transmission module-data channel medium, and carrying out the next operation;
step three: the data transmitted to the data processing module in the second step has three processing purposes:
1, storing the acquired various environmental data in a corresponding database;
2, displaying various types of acquired environmental data through a data display panel and displaying various graphs and curves;
and 3, the collected various environmental data can provide reference basis for the users to consult and communicate with experts for reference discussion of the two parties.
According to the figure 2, the crop state remote intelligent monitoring management module process is
The method comprises the following steps: the monitoring early warning monitors and observes the crop planting site through each network camera which is arranged on the crop planting site in the video monitoring module;
step two: various video data and the like obtained by the video monitoring module are classified and managed by the video data management module for subsequent reference of users and experts;
step three: various video data and the like obtained by the video monitoring module are distinguished in form, color and texture characteristics through the monitoring data management module, and are sorted and classified for subsequent reference of users and experts;
step three: the data monitored by the video monitoring module carries out early warning processing on a crop planting site through the crop state monitoring module, and the early warning processing module is connected with a user/expert so that various emergency situations and the like can be processed in time.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (2)
1. An agricultural supporting system based on the Internet of things technology is characterized by comprising a data acquisition module, a data transmission module and a data processing module, wherein the data acquisition module comprises an environmental state monitoring module and a crop state monitoring module, the environmental state monitoring module comprises a wind power monitoring unit, a temperature and humidity monitoring unit, a moisture monitoring unit and a carbon dioxide monitoring unit, the wind power monitoring unit is used for acquiring wind power data in air, the temperature and humidity monitoring unit comprises a temperature sensor and a humidity sensor, the temperature sensor is used for acquiring soil and air temperature data, the humidity sensor is used for acquiring air humidity data, the moisture monitoring unit is used for acquiring data of moisture in soil and air, the carbon dioxide is used for acquiring soil and air carbon dioxide content, the crop state monitoring module is used for acquiring image data through real-time video monitoring of a camera, the data acquisition module classifies various data according to requirements, and performs real-time monitoring on a real-time environment and a real-time state, is connected with a plurality of sensor nodes, and transmits the received data to the data processing module after preprocessing; the data transmission module acts between the data acquisition module and the data processing module and provides a data channel medium; the data processing module classifies and sorts various environmental data and crop state data transmitted from the data acquisition module, analyzes the data and stores the data in a corresponding database, so that the data can guide crops in a planting production period and can also provide guidance basis for experts.
2. The agricultural support system of claim 1, wherein the data processing module comprises a remote intelligent monitoring management module and an agricultural expert guidance service module; the remote intelligent monitoring management module intercepts images from videos acquired by the camera through real-time video monitoring, extracts morphological characteristics, color characteristics and texture characteristics related to crops in the video images as comprehensive characteristics, further classifies the extracted comprehensive characteristics of the crops and environmental data by adopting a neural network method, compares the extracted comprehensive characteristics of the crops and the environmental data with the growth state of simulated crops in a database for analysis, sends the analyzed growth state and the analyzed growth state to an online expert of a system for further judgment, feeds corresponding guidance means back to a user, learns the analysis result of the crops, detects diseases and insect pests related to the crops, carries out early warning in time, reports the disease and insect pests to the corresponding user, queries the database, finds out a corresponding solution and forwards the solution to the user; the agricultural expert guidance service module is used for remotely communicating with agricultural related experts when a user has a difficult problem in the crop planting production process, and the experts can check crop planting production sites, historical monitoring data and environmental parameters according to various data and real-time videos to remotely guide the user.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115127693A (en) * | 2022-06-30 | 2022-09-30 | 浙江天演维真网络科技股份有限公司 | Crop growth environment temperature monitoring system based on agricultural products |
| CN116258238A (en) * | 2022-12-07 | 2023-06-13 | 嘉应学院 | Crop management system based on Internet of things |
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| CN115127693A (en) * | 2022-06-30 | 2022-09-30 | 浙江天演维真网络科技股份有限公司 | Crop growth environment temperature monitoring system based on agricultural products |
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