DS200SDCCG4A From General Electric in the United States

Brand: GE

model: DS200SDCCG4A
System: Gas turbine system
Origin: United States

The GE DS200SDCCG4A 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

DS200SDCCG4A Product Introduction

GE DS200SDCCG4A Embedded Controller Module
 
GE DS200SDCCG4A Embedded Controller Module Product Details:
 
GE DS200SDCCG4A 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 DS200SDCCG4A 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 DS200SDCCG4A 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.
 
DS200SDCCG4A 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

On April 25, 2017, ABB and IBM announced a strategic cooperation today. ABB”s industry-leading digital solution ABB Ability will join forces with IBM Watson IoT cognitive computing technology to create new innovations for customers in the power, industry, transportation and infrastructure fields. the value of.ABB has deep industry expertise and cross-industry digital solutions, and IBM is an expert in artificial intelligence, machine learning and different vertical industries. The cooperation between the two parties will benefit customers. ABB Ability and Watson will first cooperate in the fields of factories and smart grids to provide real-time cognitive analysis.”The strong alliance between the two parties marks a new stage in the development of industrial technology. We will not only have the interconnected systems that currently collect data, but will also use data to sense, analyze, optimize and take countermeasures in industrial operations and equipment to help industrial customers Improve uptime, speed and production.” ABB Group CEO Spiesshofer said, “ABB has installed 70 million connected devices around the world, has 70,000 running control systems and 6,000 enterprise software solutions. As a trusted leader in the industrial field, ABB has been deeply involved in industrial digitalization for more than 40 years. IBM is a leader in artificial intelligence and cognitive computing. IBM and ABB will work together to create powerful solutions for customers and seize the fourth The great opportunities presented by the sub-industrial revolution.”Groundbreaking new solutionsThis breakthrough solution, jointly developed by ABB and IBM, will provide users with a new way to address major challenges in the industrial field, such as strengthening quality control, reducing downtime, and increasing the speed and output of industrial processes. These solutions will not only have the data collection capabilities of existing connected devices, but will also cover cognitive industrial devices that use data to detect, analyze and take response measures, helping workers eliminate ineffective processes and redundant work.IBM Chairman, President and CEO Rometty said: “This important cooperation with ABB will help Watson more deeply participate in industrial applications in different fields such as manufacturing, power and transportation. In the products, equipment and systems of industrial enterprises The data generated will also significantly improve innovation, efficiency and safety. Through Watson”s extensive cognitive capabilities and the platform”s special support for the industrial sector, these huge amounts of new resources can be transformed into trusted value. We eagerly look forward to working with ABB on cooperation in this new industrial sector.”Bringing real-time cognitive analytics to the factoryFor example, ABB and IBM will use Watson artificial intelligence to help users identify substandard products through real-time product images. TheseThe images are captured by the ABB system and analyzed through IBM Watson IoT for Manufacturing. Previously, this product inspection process was completed manually, which was not only slow but also prone to errors. Through the perfect combination of Watson”s real-time cognitive analysis directly in the factory with ABB”s industrial automation technology, users can increase production line output while improving production accuracy and product consistency. The solution alerts producers to critical faults that cannot be discerned by the human eye during the assembly process of product parts, allowing quality control experts to quickly intervene. This easier problem detection will improve the quality of all products on the production line, help users avoid expensive product recalls and suffer reputational losses, and significantly improve their competitiveness.Smart grid real-time cognitive analysisABB and IBM will use Watson technology to extract historical and weather data to predict power supply patterns on the power generation side and demand side, helping power customers optimize operations and maintain smart grids, and solve the increasingly complex balance between traditional and renewable energy faced by smart grids. Sexual issues. Forecasts of temperature, light and wind speed will be used to predict electricity consumption demand, helping power customers determine optimal load management and real-time electricity prices.

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