Founded in 1977, this Shanxi-based manufacturer was among the first national designated producers of scraper and belt conveyors, originally serving as one of the 57 key backbone enterprises under the Ministry of Coal Industry. As a mixed-ownership enterprise with a registered capital of 110 million RMB and over 1,000 employees, the company achieves an annual output value of 1.5 billion RMB. It is China's third-largest manufacturer of complete underground coal mining conveyor equipment. Ranked among the Top 500 Machinery Manufacturing Enterprises, Top 500 Enterprise Informatization, and Top 50 Coal Machinery Industry Enterprises in China, it has earned numerous honors, including China Machinery Industry Modern Management Enterprise, National Advanced Manufacturing Enterprise, National Torch Program Key High-tech Enterprise, and "Specialized, Fined, Peculiar, and Innovative" Enterprise of Shanxi Province.
With diverse and scattered shop-floor equipment, their status and utilization rates cannot be effectively monitored, leading to opaque daily management and delayed issue feedback.
Equipment management relies on manual labor and paper forms, resulting in low efficiency, difficult performance traceability, and weak digitalization.
The lack of unified digital control over equipment maintenance, exception handling, and spare parts leads to disordered on-site execution.
CNC machining programs are altered arbitrarily and stored chaotically, complicating parameter tracking and compromising product quality stability.
Scattered and opaque equipment data fail to provide robust support for production decision-making.
Inefficient management of high-energy-consuming equipment (e.g., heat treatment, machining) and an absence of monitoring for water, electricity, gas, and oxygen result in significant energy waste.
An inability to grasp energy consumption patterns makes off-peak production difficult, keeping energy costs high.
1.Conduct digital upgrades on various shop-floor equipment. Utilizing equipment networking technology, collect operating parameters and status data to achieve real-time perception of equipment conditions.
2.Acquire CNC machining programs and parameters to establish a version management and traceability mechanism, resolving issues of arbitrary program modifications and difficult parameter tracking.
1.Build a unified digital equipment management platform to digitalize the full lifecycle management of equipment ledgers, maintenance, exception handling, and spare parts.
2.Replace paper documents with online circulation and approval of equipment management forms, enhancing management efficiency and data traceability.
3.Utilize a visual operations center to display real-time data on equipment status, utilization rates, and fault statistics, providing decision support for equipment O&M (Operations & Maintenance) and production scheduling.
Collect consumption data on water, electricity, gas, and oxygen to build an energy monitoring and analysis system, mastering consumption patterns across workshops. Establish a digital energy monitoring platform to visualize energy data, support off-peak production scheduling, and effectively reduce overall energy consumption.
Aggregate operational data from the coal machinery industry to form an industry data platform, providing robust support for big data analysis and industrial services.
