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The “Smart Neural Node” of the Industrial Internet of Things: Ebyte M31-AAAX4440G-L LoRa Distributed I/O

In the wave of smart manufacturing and Industry 4.0, decentralized equipment deployment and stable communication in complex environments have become core challenges. Our company’s M31-AAAX4440G-L LoRa distributed I/O, with its “4DI+4AI+4DO” all-in-one input and output configuration and LoRa long-distance communication technology, provides a convenient solution for data collection and equipment control in industrial sites.

I. Why Choose the M31-AAAX4440G-L?

1. LoRa Long-Distance Communication: Breaking Through Traditional Wiring Limitations

10km Transmission Distance: In clear, open environments, LoRa technology enables ultra-long-distance communication of 10km, perfectly solving wiring challenges in wide-area scenarios such as factories, mining areas, and oil fields.

Selectable Frequency Band: Supports 410.125/493.125/850.125-930.125MHz bands, allowing flexible selection based on regional regulations and adapting to a variety of application scenarios.

2. Versatile I/O Configuration: Building Complete Control

4 DI Inputs: Supports both NPN and PNP input types, compatible with 1224V industrial standard voltages, with independent optical isolation (7.2kΩ impedance) for each channel and 1000Hz high-frequency data acquisition capability, meeting equipment status monitoring needs. 4 AI inputs: Current input (0.20mA/4.20mA) with 16-bit resolution, suitable for high-precision sensor data acquisition (such as flow meters and pressure transmitters).

4 DO outputs: 5A relay outputs (30VDC/250VAC), with a maximum common load of 8A, capable of directly controlling actuators such as solenoid valves and contactors.

3. Industrial-grade Reliable Design: Adaptable to Extreme Environments

Wide Operating Temperature Range: 40°C to +85°C, with industrial-grade high and low temperature shock testing, suitable for extreme environments such as cold storage and outdoor equipment.

Wide Voltage Supply: DC 936V adaptive, supporting various power supply scenarios, including industrial power supplies (24V) and new energy equipment (36V).

Triple-Proof Protection: The entire device is spray-coated with anti-mold, moisture-proof, and salt spray-proof coating, suitable for humid (RH 5%-95%) and high-salt spray environments (such as coastal factories and ships).

4. Pluggable Design: Flexible Configuration

Supports multiple combinations of digital input (DI), digital output (DO), analog input (AI), and analog output (AO). Users can choose the appropriate IO expansion module to connect based on their needs. Up to 16 IO expansion modules are supported to meet the needs of various application scenarios.

Ⅱ. Technical parameters:  

ProjectParameter Details
I/O Configuration4 DI (NPN/PNP compatible) + 4 AI (16-bit differential 0.20mA/4.20mA) + 4 DO (5A relay)
Communication InterfaceLoRa (410.125493.125MHz) + RS485 + RJ45 (Profinet)
Installation MethodDual-mode DIN rail/positioning hole design, compact 110×40×100mm body
FeaturesChannel-level optical isolation / AI over-range alarm / DI high-frequency counting / modular design, supporting up to 16 modules
Status IndicatorMultiple LEDs display real-time DI/DO/AI/RUN/BUS/STA status

III. Typical Application Scenarios

1. Distributed Industrial Control Systems

Pain Point: Large factories have dispersed equipment, and traditional wired solutions are costly and difficult to maintain.

Solution:

Host Mode: The touchscreen serves as the master station, building a distributed I/O network via a data transmission radio to remotely control the M31-AAAX4440G-L.

Data Acquisition: 4 AI channels connect to temperature/pressure sensors, 4 DI channels monitor equipment start/stop status, and 4 DO channels control the start/stop of pneumatic valves.

Remote Communication: Data is uploaded to the control system via LoRa for centralized monitoring.

2. Agriculture and Environmental Monitoring

Application Scenarios: Large farms, livestock farms, and environmental monitoring stations.

Configuration:

Environmental Parameter Acquisition: 4 AI channels connect to temperature, humidity, light, and CO₂ concentration sensors.

Intelligent Equipment Control: Automatically trigger DO outputs based on collected data to control irrigation systems and ventilation equipment.

Long-Range Coverage: A single host provides extended coverage, reducing the need for relay equipment.

3. Special Environment Monitoring

Case Study: Port gantry crane anti-corrosion system.

Configuration Details:

Sensor Connection: Four AI channels connect to chloride ion concentration sensors (420mA).

Execution Control: Four DO channels control the start and stop of the dehumidifier.

Data Interoperability: RS485 connection to the weather station Modbus device enables data fusion.

Key Benefits:

Cost Optimization: Reduces cable and switch purchases, reducing single-node deployment costs by 40%.

Fast Deployment: Plug-and-Play design reduces equipment installation and commissioning time by 70%.

Stability and Reliability: Relay contacts have passed 100,000-cycle life testing, with a mean time between failures (MTBF) of 50,000 hours.

IV. In-Depth Analysis of Industry Application Cases

Case 1: Distributed Monitoring System for a Chemical Plant

Background: A chemical plant required real-time monitoring of reactors and storage tanks distributed within a 5km radius. Traditional wired solutions were costly.

Solution:

Deployed 10 M31-AAAX4440G-L LoRa nodes, covering 32DI/32AI/32DO points.

Data Integration: Data was uploaded to the central control room via LoRa transmission.

Results:

Saved ¥150,000 in wiring costs.

System response time <300ms, meeting process control requirements.

Case 2: Smart Agriculture Greenhouses

Background: An agricultural park required environmental monitoring and equipment control for 50 greenhouses.

Solution:

One M31-AAAX4440G-L sensor was deployed in each greenhouse to collect temperature, humidity, light intensity, and CO₂ concentration (AI) to control fans and sunshades (DO).

Data Aggregation: Data was uploaded to a cloud platform via a LoRa gateway for remote management.

Results:

Greenhouse environmental control efficiency increased by 40%, and crop yields increased by 15%.

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