A413188

¥6,052.00

Parameters & Specifications:
Model Number: A413188
Input Voltage: 100~240V AC1
Output Voltage: 24V DC1
Rated Current: 5A1
Operating Temperature: -40°C to 85°C1
Dimensions & Weight:
Dimensions: 10cm x 5cm x 2cm
Series:

  • Part of a series of industrial automation components, though the exact series name may vary depending on the manufacturer. It is often associated with METSO products
    Features:
    Distributed Processing & Parallel Processing: Enhances parallel processing speed through the use of distributed processing and parallel processing architectures
Category:

Description

Parameters & Specifications:
Model Number: A413188
Input Voltage: 100~240V AC1
Output Voltage: 24V DC1
Rated Current: 5A1
Operating Temperature: -40°C to 85°C1
Dimensions & Weight:
Dimensions: 10cm x 5cm x 2cm
Series:

  • Part of a series of industrial automation components, though the exact series name may vary depending on the manufacturer. It is often associated with METSO products
    Features:
    Distributed Processing & Parallel Processing: Enhances parallel processing speed through the use of distributed processing and parallel processing architectures

  • Modularity: Allows the system to be divided into independent modules or subsystems, improving overall system response time, data throughput, and reliability1.
    Flexibility & Scalability: The hardware and software components are designed to work together seamlessly, enhancing the system’s flexibility, scalability, and overall performance1.
    High Reliability: Suitable for various industrial environments due to its wide operating temperature range and advanced features1.
    Functions & Applications:
    Industrial Automation: Used in industrial automation systems for tasks such as control, monitoring, and data processing1.
    Distributed Control Systems: Integral to distributed control systems, where it coordinates with other modules to complete large-scale information processing tasks1.
    Enhanced System Performance: Improves the overall system performance by distributing processing tasks among multiple processors or modules