Project Background

The company is a leader in China's fiber optic network, smart grid, big data Internet of Things, new energy and new materials, financial investment, etc. National innovative enterprises, top 500 Chinese enterprises, top 100 Chinese private enterprises. The company's industrial layout covers 13 provinces across the country, and it has three high-tech industrial parks in the Yangtze River Delta region, including Optical Communication Technology Park, Ocean International Industrial Park, and Optical Cable Industrial Park. In order to meet the production needs, the company has a large number of air-compressed power equipment, and the overall optimization management of the equipment has become an increasingly urgent demand of the company.

Problems faced

Many pneumatic power equipment lacks systematic and digital management, and the energy efficiency of equipment cannot be accurately identified and compared. At the same time, the company lacks system tools for lean management, and cannot improve the management efficiency of operation and maintenance personnel and equipment failure prediction and analysis, let alone provide data support for energy-saving transformation of air compressor power equipment.

solution

Through the data access of all the air compressor power equipment of the company, the digital management of the cloud platform is realized as a whole, and the air compressor power Equipment management cloud platform, and based on this, develop a complete set of entropy cloud power equipment management application matrix to assist business management, build the lean management system of the customer's air compressor power equipment in an all-round way, accurately identify the space for energy efficiency optimization, and maintain the maintenance of power equipment , fault prediction, energy efficiency analysis, etc., provide application tools, visualize and present in multiple ways, and empower the digital management of Hengtong optoelectronic equipment.

Item Value

Reduce the cost of management personnel by 50%. Digital supervision has been realized, and the statistical report tool generated by one key has greatly improved the efficiency of managers and reduced management costs.

Energy efficiency increased by 27%. Through the data analysis of power equipment, the key links of energy consumption can be accurately located, and the energy-saving optimization technology of related links can be used to improve the overall energy efficiency.