Large Scale Machinery

Details

Published on Wednesday, 21 September 2011 22:42

Large-scale Machinery and Equipment Program Profile

Overview

As the development of today’s coal industry mature, the complexity of the machinery in this field has also grown. Meanwhile, when the coal winning machines breaks down, they requires many manpower and material resources to fix it.

Facing the competition market, manufactures are required to use high-quality products compete and keep up with development of the market. Therefore, it is essential for the coal manufactures to have a complete set of well- operational Service System and it should address the following factors:

1. Real-time monitoring for the condition parameters in a timely manner to carry out corrections to avoid losses

2. Remote monitoring maintenance of equipments to reduce maintenance costs

3. Networking provide high-quality services quickly

Beijing Wellincontrol Technology Development Co,.Ltd's remote monitor/diagnostic system are based on advance Internet technology, provide the powerful visual data analysis and management functions. Regardless of wherever the maintenance personnel may be, they can use visualization management tool to carry on the scene monitoring and failure diagnosis, as well as monitor, analysis and diagnosis the long-range production machine.

Large-scale Machinery and Equipment Program Profile

Key Capabilities

Provide a worldwide monitoring, diagnosis and analysis of solutions for large-scale equipments

Automatic monitoring of unusual trends, online early warning

Based on historical data, user can create mathematical models, equipment and system performance analysis of the statements

Support the operation of the equipment for years of historical data, easily achieve large-scale equipment, remote fault diagnosis and fault handling

Internet-based network deployment, making the program easier to implement

Resume breakpoint to support and data cache, and maintain the integrity of the data

Key Benefits

Store-per-second speeds of more than 20,000 points

Search at any given variables or date of historical data (for 10,000 data records) within 5 seconds

Support as many as 256 concurrent clients at once to store and retrieve data

Highly efficient data compression algorithm to minimum of storage space

Powerful computing engine can carry all kinds of statistical computing

Useful and clear comparison, analysis and report