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KONGSBERG RCU502 Controller

KONGSBERG RCU502 Controller
Product Overview

KONGSBERG RCU502 controller is an industrial grade control unit launched by Kongsberg Gruppen, mainly used in ship and ocean engineering automation systems. As a core module for remote control and data processing, it is responsible for monitoring, logical operations, signal acquisition, and execution control. It is a key equipment in propulsion control systems, power management systems (PMS), and automation monitoring systems (AMS). RCU502 has high reliability, real-time performance, and resistance to harsh environments, ensuring the safe and efficient operation of complex ships and offshore platform equipment.

Technical parameters (typical range)

Processing capability: Industrial grade CPU, supporting real-time control and data processing

I/O interface: Supports multiple analog and digital inputs/outputs, expandable remote I/O

Communication protocol: compatible with industrial communication protocols such as CANBus, Modbus, Profibus, Ethernet, etc

Power specification: Typically 24VDC industrial power input, with overvoltage and overcurrent protection

Operating environment: salt spray resistant, vibration resistant, waterproof and oil resistant, in compliance with classification society certification standards

Installation method: Rack/modular design, easy to integrate into control cabinets or consoles

Application scenarios

Ship propulsion control

Used for remote control and monitoring of diesel engines, gas turbines, and propulsion motors

Support propeller control, propulsion system status monitoring, and safety protection

Ship Power and Energy Management

Applied to the Power Management System (PMS) to achieve automatic parallel operation, load distribution, and switching of generator sets

Ensure the stability of the power system and reduce energy consumption

Ship Automation Monitoring (AMS)

Monitor the operational status of key equipment such as the main engine, auxiliary engine, pump, compressor, etc

Implement alarm management, status trend analysis, and remote diagnosis

 

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