DRM-AI Monitoring and Alarm System Module
Product Details Introduction
The DRM-AI monitoring and alarm system module is a lightweight industrial grade intelligent monitoring device that supports 0-5V/0-10V analog signal acquisition and AI assisted alarm analysis. It is designed specifically for scenarios such as ships, industrial automation, and computer room operation and maintenance, and has precise monitoring, fast response, and convenient integration characteristics. The core features are as follows:
1. Wide range analog signal acquisition
Compatible with 0-5V and 0-10V dual range analog signal input, with a rated working current of up to 9A, it can accurately collect industrial parameters such as temperature, pressure, and liquid level, providing reliable data support for process control and fault prediction.
2. AI intelligent alarm analysis
Integrating lightweight AI algorithms, it can achieve abnormal data trend prediction and fault mode recognition, support two-level customizable alarms (voice/buzzer), avoid the problem of missed or false alarms in traditional alarms, and improve operation and maintenance efficiency.
3. Multi protocol collaborative communication
Native support for Modbus RTU/TCP protocol, compatible with MQTT IoT communication standard, seamlessly linked with PLC, SCADA system and cloud platform, achieving real-time data upload and remote command issuance.
4. Lightweight and easy to integrate design
The total weight of the machine is only 250 grams, and it adopts DIN rail installation method. The structure is compact and does not take up space. It can be directly integrated into existing industrial systems without the need for large-scale transformation, reducing deployment costs.
5. Wide temperature environment adaptability
The working temperature range is -40 ℃~+85 ℃, and the storage temperature covers -40 ℃~+185 ℃. It can withstand severe temperature changes and vibrations, and is suitable for complex working conditions such as outdoor, marine, and industrial workshops.
DRM-AI Product imag

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