Wuxi One Cotton: National Sensor Network Innovation To Enhance Corporate Image

"Information and traditional industry grafting is an important means to enhance the competitiveness of enterprises in twenty-first Century."

The decision making level of the first cotton mill in Wuxi understands the significance of the integration of the two technologies.

To this end, since 2000, Wuxi cotton has implemented the 5 phase information construction project, completed the comprehensive coverage of various business management links, and combined the information management tools with the enterprise management mode to form the support for the strategic development of enterprises.

In 2009, Wuxi cotton participated in the construction of national sensor network innovation demonstration area and became a demonstration enterprise of Wuxi sensor network.

In this demonstration project, the Wuxi cotton development has applied the network online monitoring system, and docking with the enterprise ERP (Enterprise Resource Management) system, realizing the production management and control of integrated management and control, and comprehensively improving the product quality grade and production management level.

The enterprise plant management system can monitor and control the quality, output and equipment status. Combined with the application of production management system, it can provide 9 kinds of 168 parameters, such as output, quality, mechanical state, and other real-time data, such as yarn fault grading, etc., exceeding the standard will automatically alarm, and has the function of analyzing and optimizing the process.

The traditional quality inspection is manual off-line sampling (sampling detection), and the sensor network system can achieve full online inspection.

Offline sampling is concerned with the average value, while the online total inspection is aimed at the worst value, which is a weak link in the chain, so it can improve the overall quality of products.

At the same time, due to the shortening of the feedback cycle, it is more conducive to tracing the causes and reducing costs.

Through the sensor network, it can also find the abnormal situation of a certain (certain eye and an ingot) accurately and timely, and guide the maintenance personnel to work in a targeted way, so as to truly realize state maintenance and improve work efficiency.

Traditional management has many shortcomings in evaluating the quality of personal work through checking and sampling inspection by the management. The information provided by the sensor network is more impartial, accurate and timely, and it can achieve good results with proper positive and negative incentives.

For a long time, the difficulty of textile mill management is the big pot of "1000 people yarn and ten thousand cloth". Once this situation is broken, management can get twice the result with half the effort.

In addition, when the sensor network system is integrated with ERP, the data can be stored for a long time. Managers at all levels can carry out retrospective supervision at any time, and the information is pparent, and their significance in management is self-evident.