CN116088358A - Intelligent agricultural environment monitoring system software based on Internet of things - Google Patents
Intelligent agricultural environment monitoring system software based on Internet of things Download PDFInfo
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- CN116088358A CN116088358A CN202111304133.4A CN202111304133A CN116088358A CN 116088358 A CN116088358 A CN 116088358A CN 202111304133 A CN202111304133 A CN 202111304133A CN 116088358 A CN116088358 A CN 116088358A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 32
- 238000004891 communication Methods 0.000 claims abstract description 13
- 238000013461 design Methods 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims 1
- 230000007613 environmental effect Effects 0.000 abstract description 5
- 230000005540 biological transmission Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000011161 development Methods 0.000 abstract description 3
- 238000005457 optimization Methods 0.000 description 8
- 230000008447 perception Effects 0.000 description 7
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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
- G05B19/0423—Input/output
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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
- G05B2219/24—Pc safety
- G05B2219/24215—Scada supervisory control and data acquisition
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Abstract
The invention relates to intelligent agricultural environment monitoring system software based on the Internet of things, which combines software and hardware technology platforms such as a cloud, an APP control end, a sensor module, a motor module, a BearPi series singlechip with a WiFi communication function and the like, detects environmental parameters of a greenhouse according to the sensor module, uploads detected data to the cloud platform, and an Android client APP accesses a cloud, controls a terminal motor, and realizes intelligent agricultural environment monitoring. The novel monitoring system constructed by the Internet of things has the advantages of simple structure, long communication distance and the like in the aspects of data acquisition, real-time monitoring and instruction transmission of agricultural greenhouse environments, so that the intelligent monitoring mode of the user-cloud terminal can be slightly modified along with the development of a 5G network and WiFi6, and the novel monitoring system can be used for other agricultural purposes and has a wide application space.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to intelligent agricultural monitoring system software based on the Internet of things technology.
Background
The development of intellectualization is a trend in greenhouses with wide coverage areas and complex planting environments. However, since the area of greenhouse agricultural planting is generally large, it is very difficult to detect the environment of the agricultural greenhouse manually, and the conventional agricultural environment monitoring system is expensive and complicated in wiring.
Disclosure of Invention
In order to solve the problems, intelligent agricultural environment monitoring system software based on the Internet of things is designed. According to the greenhouse environment parameter control system, the system software can automatically control the motor control module of the greenhouse according to greenhouse data detected by the sensor module, so that the greenhouse environment parameter can be adjusted, the detected data can be sent to the cloud platform, then the cloud platform is accessed by the Android client APP, the environment parameter can be obtained remotely, an instruction can be sent, and remote control is realized. Therefore, the environment monitoring of the intelligent agricultural greenhouse is realized, a large amount of manpower and material resources are not required to be continuously input in the environment monitoring of the agricultural greenhouse, the traditional bus transportation with high price and complex wiring is also eliminated, and the efficient farming is realized.
The system is a system formed by combining software and hardware technology platforms such as a cloud, an APP control end, a sensor system, a motor control module, a power supply module, a BearPi series singlechip with a WiFi communication function and the like, the system can automatically compare the data of illuminance, temperature and humidity and the like detected by the sensor system with a threshold value set by a processor code, automatic control is realized, the data is uploaded to the cloud IoT platform through the WIFI communication module, and then the customer service end APP utilizes the Internet: and accessing networks such as 2G/3G/4G/5G and the like to the cloud internet of things (IoT) platform to realize data receiving and controlling.
As a further optimization of the technical scheme, the intelligent agricultural environment monitoring system software design is mainly divided into three layers of perception layers, an information layer and a user layer.
As a further optimization of the technical scheme, the intelligent agricultural monitoring system software design is mainly divided into three perception layers, a transmission layer and an application layer.
As the further optimization of this technical scheme, the sensor module of perception layer of intelligent agricultural monitoring system software be used for detecting green house's humiture and illuminance.
As a further optimization of the technical scheme, the motor control module of the perception layer of the intelligent agricultural monitoring system software adjusts environmental parameters of the greenhouse by controlling the switch of the motor.
As a further optimization of the technical scheme, the information layer of the intelligent agricultural monitoring system software sends the environmental parameters acquired by the sensing layer to the cloud IoT platform through the WIFI communication module, and the cloud IoT platform performs intelligent processing and analysis.
As a further optimization of the technical scheme, the user layer of the intelligent agricultural monitoring system software is accessed into the cloud internet of things (IoT) platform through the Android client APP, the APP information monitoring module obtains environment parameters of the cloud platform, and the APP equipment control module sends control instructions to the cloud platform.
As a further optimization of the technical scheme, the data values of illuminance, temperature and humidity and the like detected by the sensor system are compared with the code threshold value written into the BearPi series singlechip processor, and when the data value is larger than the set temperature value or smaller than the humidity value and illuminance equivalent, the singlechip automatically performs opening and closing operation on the motor control module, so that automatic adjustment is realized.
As a further optimization of the technical scheme, the APP equipment control module sends a control instruction to the cloud IoT platform, and the cloud platform sends an instruction to the BearPi development board to control the motor control module of the perception layer, so that remote adjustment is realized.
Drawings
The following describes the embodiments of the present invention in further detail with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of the intelligent agricultural monitoring system software design;
FIG. 2 is a schematic diagram of a sense layer hardware design;
the intelligent monitoring system comprises a 1-USB power supply module, a 2-sensor module, a 3-BearPi singlechip, a 4-motor control module, a sensor access module of a 5-BearPi singlechip, a processor module of a 6-BearPi singlechip, a WiFi communication module of a 7-BearPi singlechip, an 8-WiFi router, a 9-Hua cloud (Internet of things) platform, a 10-Android client APP, an 11-APP information monitoring module and a 12-APP equipment control module.
Detailed Description
Preferred embodiments of the agricultural monitoring system software design are described in detail below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of the design of the agricultural monitoring system software, and FIG. 1 shows the overall flow implementation of the design of the agricultural monitoring system software: through combining a system formed by software and hardware technology platforms such as cloud 9, android client APP 10, sensor module 2, motor control module 4, bearPi series singlechip 3 with WiFi communication function 7 and the like, the system can automatically compare the data of illuminance, temperature and humidity and the like detected by the sensor system 2 with a threshold value set by a code of a processor 6, realizes automatic control, and uploads the data to the cloud IoT platform 9 through the WIFI communication module 7, and then customer service end APP 10 utilizes the Internet: and 2G/3G/4G/5G and other networks are accessed to the cloud internet of things (IoT) platform 9, so that data receiving and controlling are realized.
The system design is mainly divided into three layers of a perception layer, a transmission layer and an application layer. The sensing layer sensor module 2 is used for monitoring environmental parameters, and the motor control module 4 is used for receiving the environmental parameters; the transmission layer transmits the detected parameter data to the cloud IoT platform 9 through a WiFi network; the Android client APP 10 obtains the parameter environment number by accessing the cloud IoT platform and sends a control instruction to the cloud platform.
In the automatic control mode, the data values of illuminance, temperature and humidity and the like detected by the sensor module 2 are compared with the code threshold value written into the BearPi series singlechip processor 6, and when the data value is larger than the set temperature value or smaller than the value of humidity and illuminance, the singlechip automatically performs opening and closing operation on the motor control module 4, so that automatic adjustment is realized.
In the remote control mode, the device control module 12 of the Android client APP 10 sends a control command to the cloud IoT platform 9, the cloud platform analyzes and processes the command, the command is sent to the sensing layer through the WiFi network, and the processor module 7 of the BearPi singlechip analyzes the command, so that the motor control module 4 is opened and closed, and remote control is realized.
As can be seen from fig. 2, the system hardware comprises a BearPi singlechip 3, a Wifi communication module 7, a sensor module 2, a motor control module 4 and a USB power supply interface. The SBearPi singlechip is a core controller of a hardware system, is responsible for data processing and algorithm operation of the whole perception layer, and a WiFi communication module of the BearPi singlechip can upload data detected by the sensor module to the cloud IoT platform 9 and receive a control instruction from the cloud platform.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and improvements could be made by those skilled in the art without departing from the inventive concept, which fall within the scope of the present invention.
Claims (5)
1. An intelligent agricultural environment monitoring system software based on the internet of things, which is characterized in that: the system is a system formed by combining software and hardware technical platforms such as a cloud (9), an APP control end (10), a sensor module (2), a motor control module (4) and a BearPi series singlechip (3) with a WiFi communication function (7) of a power supply module (1), the system can automatically compare the data of illuminance, temperature and humidity and the like detected by the sensor system (2) with a threshold value set by a code of a processor (6), automatic control is realized, the data are uploaded to the cloud IoT platform (9) through the WIFI communication module (7), and then a customer service end APP (10) utilizes the Internet: and accessing networks such as 2G/3G/4G/5G and the like to the cloud internet of things (IoT) platform to realize data receiving and controlling.
2. The intelligent agricultural environment monitoring system software of claim 1, wherein: data of illuminance, temperature and humidity and the like detected by the sensor system (2) are uploaded to the cloud internet of things (IoT) platform (9) through the WIFI communication module (7), and data processing of the cloud platform is achieved.
3. The intelligent agricultural environment monitoring system software of claim 1, wherein: the data values of illuminance, temperature and humidity and the like detected by the sensor system (2) are compared with the code threshold value written into the BearPi series singlechip processor (6), and when the data value is larger than the set temperature value or smaller than the humidity value and illuminance value, the singlechip automatically performs opening and closing operation on the motor control module (4) to realize automatic adjustment.
4. The intelligent agricultural environment monitoring system software of claim 1, wherein: customer service side APP (10) utilize the internet: and accessing networks such as 2G/3G/4G/5G and the like to form a cloud platform to realize data receiving and control.
5. The intelligent agricultural environment monitoring system software of claim 1, wherein: the Android customer service side APP (10) interface design is divided into two modules, namely an information detection module (11) and a device control module (12), wherein one module is used for acquiring cloud environment parameters received, and the other module is used for sending instructions for control.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111304133.4A CN116088358A (en) | 2021-11-05 | 2021-11-05 | Intelligent agricultural environment monitoring system software based on Internet of things |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111304133.4A CN116088358A (en) | 2021-11-05 | 2021-11-05 | Intelligent agricultural environment monitoring system software based on Internet of things |
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| Publication Number | Publication Date |
|---|---|
| CN116088358A true CN116088358A (en) | 2023-05-09 |
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| CN202111304133.4A Pending CN116088358A (en) | 2021-11-05 | 2021-11-05 | Intelligent agricultural environment monitoring system software based on Internet of things |
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| CN (1) | CN116088358A (en) |
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2021
- 2021-11-05 CN CN202111304133.4A patent/CN116088358A/en active Pending
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Effective date of registration: 20231122 Address after: No. 29 Maolin Bay, Zhushan Village, Anshan Town, Jiangxia District, Wuhan City, Hubei Province, 430223 Applicant after: Wuhan chunxiaoqu Agricultural Technology Co.,Ltd. Address before: No. 29 Maolin Bay, Zhushan Village, Anshan Town, Jiangxia District, Wuhan City, Hubei Province, 430223 Applicant before: Wuhan chunxiaoqu Agricultural Technology Co.,Ltd. Applicant before: Qingdao Haiwen Intelligent Agricultural Technology Co.,Ltd. Applicant before: Wuhan Jianchun Technology Co.,Ltd. |