Ferrous Metallurgy

Manufacturing machines in the steel industry feature wide varieties, complex technologies, and difficult overhaul and maintenance. The big data cloud platform for intelligent operation and maintenance introduces advanced management concepts, modes and methodologies, integrating routine inspection, precision diagnosis, machine condition monitoring and deterioration analysis that combine to facilitate intelligent machine management.
  • Reduce unexpected shutdowns of rolling lines and potential hazards timely to ensure production continuity.
  • An intelligent machine management platform for steelmakers that features data visualization and predictive maintenance.
  • Accurately identify failures of machines such as rolling mills, wire-drawing machines, fans, reducers and water pumps, increasing maintenance efficiency by over 25%.
  • Full life-cycle machine management.

Petroleum and Petrochemical

Mechanical failures, wrong operation and process malfunctions are several main causes of production accidents and economic losses for petroleum and chemical producers. The big data cloud platform for intelligent operation and maintenance can automate 90% of data processing based on big data analysis and AI diagnosis. It accurately evaluates operation conditions for machines such as compressor units, pump sets and fans, and issues real-time alarms. Featuring data-driven decisions, the platform boosts operational and decision efficiency, avoids insufficient or excessive maintenance, and reduces machine failures to ensure operation safety.
  • Real-time monitoring of machine conditions for production continuity.
  • Avoid excessive maintenance and cut maintenance cost by 25%.
  • Restructure the inventory of spare parts: More wearing parts, fewer non-wearing parts.
  • Prevent major machine failure-induced accidents.
  • Shorten downtime for routine maintenance by 30% and reduce manual inspection.

Coal and Coal Chemical

The big data cloud platform for intelligent operation and maintenance monitors both operators and machines such as mining devices underground, main and auxiliary belt conveyors, main and secondary shaft hoists, and ventilation and drain facilities. It collects operation data, issues warnings, explores the causes and locations of failures based on trend charts and spectra, and generates failure diagnoses that are then distributed as work orders, thus ensuring stable operation and boosting economic benefits.
  • Use self-developed monitoring devices that comply with national safety standards for mining products.
  • Real-time monitoring of machine conditions, automatic warnings, and accurate failure locating.
  • Build multi-dimensional, all-around mathematical analysis models via the big data cloud platform for intelligent operation and maintenance, conduct machine failure diagnosis and issue warning automatically to inform the preparation of overhaul plans and ensure scientific management of mining machines.

Energy and Electric Power

Machines in large power plants include main and auxiliary units and control systems. Such machines are usually complicatedly structured with many parts that incur high overhaul cost. Inspection personnel play a central role during machine operation, inspection and overhaul. The big data cloud platform for intelligent operation and maintenance standardizes and streamlines data acquisition, enables real-time diagnosis, and presents the best solutions to machine failures (cloud, management and terminal) to ensure safe and stable machine operation.
  • The steam engine TDM system can analyze the operation data of large machines thoroughly and present professional diagram and chart tools in support of accurate failure diagnosis.
  • The online monitoring system of auxiliary machine monitors fans, pumps, coal mills, and belt conveyors in a real-time manner, in order to spot deterioration and potential malfunction timely and control risk of omission during inspection.
  • The inspection management system functions to inspect the machine in steam engine, electric, fuel and boiler workshops in a preventive and thorough manner in accordance with inspection principles in order to timely prevent, spot and address potential machine hazards and defects.


There are a wide variety of cement making facilities, such as coal mills, cement mills, rotary kilns, roller presses, kiln tail fans, bucket elevators and inclined zippers, with complex structures and different features. Machine maintenance, while ensuring safety and reliability, is highly costly. Thus, saving overhaul cost and reducing inventory of spare parts are important for cement producers to reduce operating expenditures.
  • An intelligent 5G+ industrial internet platform for cement makers featuring integrated, digital, intelligent and visual control.
  • Monitor data and issue intelligent warnings to the machine management APP to avoid unexpected shutdowns and potential losses.
  • Build a predictive maintenance system based on the existing machine full-lifecycle monitoring system, and combine it with inspection measures in place to forge a multi-layer protection system for better machine management.

Online Application



More Information Application Filed
Contact Hotline:400-0020-165


More Information Application Filed