5G/4G CAIMORE RTU for Smart Agriculture Application

Problems with traditional agriculture

Traditional farming can only be fertilized and irrigated based on experience, which not only wastes a lot of manpower and material resources, but also poses a serious threat to environmental protection and soil and water conservation; traditional agricultural product circulation, asymmetry in production, supply and marketing information, causes market fluctuations and waste of resources, etc. Sustainable development brings severe challenges, and a series of real pain points and problems need to be solved urgently.

 

Smart agriculture is the advanced stage of agricultural production. It integrates emerging Internet, mobile Internet, cloud computing and Internet of Things technologies. It relies on various sensor nodes (environmental temperature and humidity, soil moisture, carbon dioxide, image Etc.) and wireless communication networks to realize the intelligent perception, intelligent early warning, intelligent decision-making, intelligent analysis, and online guidance of experts in the agricultural production environment, and provide accurate planting, visual management, and intelligent decision-making for agricultural production.


 

Typical Application of Smart Agriculture

1. Agricultural Monitoring

Combining agrometeorological environmental information, remote sensing image information, knowledge base and intelligent data fusion and mining, it can predict the growth trend of crops, and conduct early warning analysis of the four conditions of crops (moisture, seedlings, insects, disasters), and timely Remind users to take precautions.

 

2. Smart greenhouse

Smart greenhouses can use the Internet of Things technology to use different sensor nodes and nodes with simple actuators (actuators with low operating currents such as fans, low-voltage motors, valves, etc.) to form a wireless network to measure soil moisture, soil composition, PH value, Precipitation, temperature, air humidity and air pressure, light intensity, CO2 concentration, etc. are used to obtain the best conditions for crop growth. Through model analysis, automatically regulate the greenhouse environment, control irrigation and fertilization

 

3. Smart animal husbandry

Smart animal husbandry can use the Internet of Things technology to collect and monitor the body temperature and location of livestock in real time with specific sensors, and use big data analysis and specific algorithms to monitor and predict the ovulation period, disease, injury, and loss of livestock. Use modern information technology to accurately grasp the breeding process and growth dynamics of livestock, conduct dynamic monitoring and trend analysis of the growth dynamics of livestock and the growth and appearance of livestock at various reproductive stages, and provide fast and efficient remote guidance for livestock breeding, building management and epidemic prevention and slaughter, and improve The ability of fine breeding and house management.

 

4. Smart irrigation

The intelligent management system for field planting based on the Internet of Things aims at the wide distribution of agricultural field planting, many monitoring points, wiring and power supply difficulties, etc., using the Internet of Things technology, using high-precision soil temperature and humidity sensors and intelligent weather stations to remotely collect soil moisture online , PH, nutrients, meteorological information, etc., to achieve automatic moisture (drought) forecasts, intelligent decision-making on irrigation water consumption, remote and automatic control of irrigation equipment and other functions, and ultimately achieve the purpose of intensive farming, accurate fertilization, and reasonable irrigation.

 

The intelligent agricultural measurement and control system is mainly composed of: sensing equipment, data transmission equipment and monitoring center system.

 

1) Sensing equipment: mainly composed of air temperature and humidity sensors, soil moisture sensors, solenoid valves, relays, fans, light sensors, etc.

 

2) Monitoring Center: Mainly responsible for data collection, reception, analysis, processing, and data push, etc.

 

3) Data transmission terminal: Xiamen Caimore data transmission terminal RTU/CM550 adopts a modular integrated design scheme, which is involved in accordance with industrial-grade standards and industrial users' needs. It has the advantages of flexible and rapid networking, short construction period, and low cost. Dial-up Internet access through the operators 5G/4G network, and actively establish a connection with the server to automatically build a data channel. At the same time, RTU can customize industry protocols to easily meet the docking of various sensors, allowing the management platform to monitor various information on site in real time, Various controls are issued in time.

 



In the system, the data transmission terminal RTU is responsible for establishing a communication link with the sensor equipment and the background. The front-end sensor equipment is responsible for sensing air and soil information and reporting the data to the platform in real time. The background communication software is responsible for receiving the front-end sensor equipment. Report data, when the front end needs to send control commands for remote control, or send test commands.

 

Topology:

 


CAIMORE Qualification and testing

1, wireless communication online maintain patent technology

2, Moore Laboratory’s high and low temperature test report

3, Product Quality Inspection Detection of Fujian Institute

4, copyrights certificate

5, EMC test report

6, the state compulsory 3C certification


Why Caimore
Caimore Communication devotes herself to IOT and the industrial automation fields , provides wireless products, Xiamen focus on supporting high-tech enterprises; 15 years of industry research and development and industrial applications accumulation test.


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