ARM Edge Controller used in Smart Irrigation System.

The application of the ARMxy BL340 series edge controller in smart irrigation systems can significantly improve irrigation efficiency, conserve resources, and achieve automated management. 

Applicability of ARM Edge Controller BL340 in Smart Irrigation Systems

The BL340 series is an industrial-grade ARM embedded controller based on the Allwinner T507-H quad-core Cortex-A53 processor (up to 1.4GHz), supporting flexible I/O configurations, multiple communication interfaces, and industrial protocols, making it suitable for edge computing, data acquisition, and remote control in intelligent irrigation systems. The key features supporting intelligent irrigation include:

• High-Performance Computing: The quad-core Cortex-A53 processor and 1/2GB DDR4 memory enable real-time data processing, such as analyzing data from soil moisture, temperature, and rainfall sensors.
• Rich Interfaces:
  • 3x 10/100M Ethernet Ports: For connecting to local networks or cloud platforms, enabling data upload and remote monitoring.
  • 2x USB 2.0 Ports: For connecting external sensors or storage devices.
  • X/Y Series I/O Boards: Support RS485, CAN, DI/DO, AI/AO interfaces, allowing connection to soil moisture sensors, flow meters, valve controllers, etc.
  • Mini PCIe Interface: Supports 4G/WiFi modules, ideal for wireless communication in remote farmland.
• Operating Systems and Software Support:
  • Supports Linux-4.9.170, Ubuntu 18.04, Android 10, facilitating the development of irrigation control algorithms.
  • Compatible with Node-Red and Qt-5.12.5, enabling rapid development of IoT applications.
  • BLloTLink protocol conversion software supports Modbus, MQTT, and other protocols, seamlessly integrating with cloud platforms like AWS IoT Core and Thingsboard for remote data management and control.
• Industrial-Grade Design:
  • Operates in a wide temperature range of -40~85°C, suitable for outdoor agricultural environments.
  • IP30 protection rating and vibration resistance ensure reliability in field conditions.
  • DIN35 rail mounting facilitates integration into irrigation control cabinets.

Specific Applications in smart Irrigation Systems

Intelligent irrigation systems require real-time environmental data collection, irrigation equipment control, and interaction with cloud platforms. The BL340 ARM Edge Controller can fulfill the following roles:

(1) Data Acquisition and Processing

• Sensor Integration:
  • Use Y-series I/O boards (e.g., Y51/Y52 for PT100/PT1000, or Y31/Y33 for 4-20mA/0-10V analog inputs) to connect soil moisture sensors, temperature sensors, flow sensors, etc.
  • Monitor pump or valve status via DI/DO interfaces (e.g., Y01/Y02).
• Edge Computing:
  • The BL340 can run local algorithms to determine whether to initiate irrigation based on sensor data (e.g., soil moisture below a threshold).
  • Supports Docker containers, allowing complex machine learning models to run at the edge to optimize irrigation strategies.

(2) Communication and Remote Management

• Local Communication: Communicate with local PLCs or other devices via RS485 or CAN interfaces, integrating traditional irrigation equipment.
• Remote Connectivity:
  • Use a 4G module (e.g., BL340L model) to upload data to cloud platforms (e.g., AWS IoT Core, Alibaba IoT).
  • BLRAT software enables remote access and maintenance, allowing administrators to monitor irrigation status in real-time via mobile devices or PCs.
• Protocol Support: BLloTLink software supports Modbus, MQTT, OPC UA, and other protocols, facilitating integration with SCADA systems or third-party platforms.

(3) Automated Control

• Valve and Pump Control: Control solenoid valves or pumps via DO or relay outputs on Y-series I/O boards (e.g., Y24).
• PWM Output: Y95/Y96 modules support PWM output for precise control of pump speed, enabling fine-tuned drip or sprinkler irrigation.
• Timed and Conditional Triggers: Use Node-Red to develop automated irrigation logic based on time or sensor data, such as initiating irrigation at specific times or when soil moisture falls below a set threshold.

(4) Data Visualization and User Interaction

• Local Display: Connect a display via the optional HDMI 2.0a interface to show real-time irrigation status, sensor data, or alerts.
• Cloud Monitoring: Upload data to cloud platforms to generate visualized reports, enabling users to analyze irrigation efficiency and water usage.

Typical Configuration Example for Smart Irrigation Systems

Assuming smart irrigation system requires soil moisture and temperature data collection, pump and valve control, and remote monitoring, the recommended configuration is as follows:

• Model: BL342L-SOM341-X23-Y51-Y24
  • BL342: 3 Ethernet ports for multi-device networking; optional HDMI for local display.
  • SOM341: 16GB eMMC and 2GB DDR4, suitable for complex applications.
  • X23: 4 RS485 interfaces (for sensors or local PLCs) + 4DI + 4DO (for monitoring and controlling equipment status).
  • Y51: 2 PT100 interfaces for temperature sensors.
  • Y24: 4 relay outputs for controlling pumps and valves.
  • L: Integrated 4G module for remote cloud connectivity.
• Software:
  • Operating System: Ubuntu 20.04 (supports extensive development tools).
  • Development Tools: Node-Red (for rapid irrigation logic development), BLloTLink (for protocol conversion and cloud integration).
  • Cloud Platform: AWS IoT Core or Thingsboard (for data storage and visualization).

Advantages and Benefits

• Efficient Water Conservation: Real-time monitoring of soil moisture and weather data enables precise irrigation control, reducing water waste.
• Automation and Remote Management: Minimizes manual intervention and supports remote irrigation plan adjustments, improving management efficiency.
• Reliability and Adaptability: Industrial-grade design ensures stable operation in harsh agricultural environments.
• Flexible Scalability: Modular I/O design supports customization of sensors and control devices for various irrigation scenarios.

Implementation Recommendations

• Hardware Selection: Choose appropriate X/Y-series I/O boards based on the irrigation area size and number of sensors. For additional analog inputs (e.g., multi-point moisture monitoring), add Y31/Y33 modules.
• Network Planning: Use the BL340L model with 4G for farmland without WiFi coverage; use BL342 with Ethernet for areas with local networks.
• Software Development: Leverage Node-Red to quickly build irrigation logic and integrate with cloud platforms using BLloTLink.
• Testing and Maintenance: Use the BL340’s BLRAT software for remote firmware upgrades and diagnostics to ensure long-term system stability.

Conclusion

The ARM Edge Controller, with its high-performance processor, flexible I/O configurations, robust communication capabilities, and industrial-grade reliability, is highly suitable for intelligent irrigation systems. It enables comprehensive functions such as sensor data acquisition, edge computing, device control, and cloud integration, helping agricultural users achieve precise irrigation, resource conservation, and remote management.