IS210DTAIH1A I/O excitation redundant module GE

Brand: GE

model: IS210DTAIH1A
System: Gas turbine system
Origin: United States

The GE IS210DTAIH1A turbine control module is used for various applications, including:

Electric power generation

Oil and Gas

EADS

ship

  • Email:Angela@sauldcsplc.com
  • Phone:+86 18350224834
  • WhatsApp:+8618350224834

Description

IS210DTAIH1A Product Introduction

GE IS210DTAIH1A Embedded Controller Module
 
GE IS210DTAIH1A Embedded Controller Module Product Details:
 
GE IS210DTAIH1A is an embedded controller module developed by General Electric (GE) for industrial automation and control systems.
The specific application scope of the product
will depend on the needs of system integration and industrial application, but generally speaking, this type of embedded controller module can be applied to the following categories:
 
Industrial automation: used to master and monitor various automation processes in the factory, such as production lines, machine installation,
manufacturing processes, etc.
Power industry: used for mastering and monitoring tasks in power plants and power distribution systems.
Chemical and process industries: used to monitor and grasp the production process in chemical plants, refineries, and other process industries.
Manufacturing industry: can be used to master and optimize the production process, ensuring the effectiveness of labor and product quality.
Transportation: The application in the traffic signal system, railway system, or other traffic control systems.
Construction automation: used for automation systems in construction, such as building management systems, intelligent construction control systems, etc.
Fire disposal punishment and situation control: application in the pollution fire disposal punishment plant, fire disposal punishment measures, and situation
monitoring and control system.
These are just some potential application areas, in fact, there can be more application scenarios, depending on the effectiveness and personality
of the controller module, as well as the specific needs of the customer.
 
 
General Electric has designed the processor/controller for the IS210DTAIH1A Mark VIe system. The Mark VI platform is General Electric”s Speedtronic range,
designed to manage gas or steam turbines.
It has a CIMPLICITY graphical interface and an HMI with software suitable for running heavy-duty turbines.
 
 
This IS210DTAIH1A is a single box assembly with a front panel for communication connections, two screws installed on the rear edge, and three grille holes for ventilation. The controller is designed to
be installed at the bottom of the cabinet. For a small setup that is easy to serve a triple redundant system, up to three components can be installed side by side.
 
IS210DTAIH1A uses the QNX operating system. It has a 667MHz Freescale 8349 processor. This board is powered by a 12 watt, 18-36 V DC power supply. Even at its maximum rated temperature, t
he board can operate within a temperature range of 0 to 65 degrees Celsius without the need for a fan for cooling. NFPA Class 1. This board can be used for two applications.
Contact Us
 
Mobile phone: 18350224834
 
E-mail: sauldcsplc@outlook.com
 
WhatsApp:+86 18350224834

0 PrefaceGermany”s “Industry 4.0″ and the United States” “Industrial Internet” will restructure the world”s industrial layout and economic structure, bringing different challenges and opportunities to countries around the world. The State Council of China issued “Made in China 2025” as an action plan for the first ten years of implementing the strategy of manufacturing a strong country, which will accelerate the integrated development of IoT technology and manufacturing technology [1]. IoT collects data on machine operations, material usage, facility logistics, etc., bringing transparency to operators. This transparency is brought about by the application of data analytics, which refers to the use of statistical and machine learning methods to discover different data characteristics and patterns. Machine learning technology is increasingly used in various manufacturing applications, such as predictive maintenance, test time reduction, supply chain optimization, and process optimization, etc. [2-4]. The manufacturing process of enterprises has gradually developed from the traditional “black box” model to the “multi-dimensional, transparent and ubiquitous perception” model [5].1 Challenges facing manufacturing analysisThe goal of manufacturing analytics is to increase productivity by reducing costs without compromising quality:(1) Reduce test time and calibration, including predicting test results and calibration parameters;(2) Improve quality and reduce the cost of producing scrap (bad parts) by identifying the root causes of scrap and optimizing the production line on its own;(3) Reduce warranty costs, use quality testing and process data to predict field failures, and cross-value stream analysis;(4) Increase throughput, benchmark across production lines and plants, improve first-pass rates, improve first-pass throughput, and identify the cause of performance bottlenecks such as overall equipment effectiveness (OEE) or cycle time;

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