The steel metallurgy industry, as a pillar of the national economy, primarily uses natural resources such as iron ore and coal as raw materials. Through a series of complex processes including mining, sintering, coking, ironmaking, steelmaking, continuous casting, and rolling, it transforms raw materials into steel products. Therefore, the continuous, stable, and efficient operation of equipment is key to ensuring safe production and improving economic benefits.

Currently, the industry faces the following major pain points in equipment operation and maintenance:
1) Weak data foundation
The online rate of equipment status data is low, resulting in numerous "data silos," making precise data-driven maintenance difficult to achieve. This leads to both over-maintenance and under-maintenance of equipment, causing high maintenance costs.
2) Over-reliance on manual experience
Maintenance decisions heavily depend on the personal judgment of experienced workers, making knowledge difficult to accumulate and pass on. Inadequate inspections are a primary cause of failures; maintenance quality and efficiency are unstable, and personnel changes lead to loss of experience and a high rate of recurring faults.
3) Outdated operation and maintenance models
Most enterprises still adopt "repair after failure" or scheduled maintenance, lacking predictive maintenance capabilities. This results in long unplanned downtime, high maintenance costs, disrupted production rhythms due to unexpected shutdowns, rushed repairs with high costs, and even secondary issues.
4) Poor maintenance process collaboration
Functions such as inspection, operation, and repair are overly segmented, causing poor information flow and low collaboration efficiency. It is difficult to optimize collaboration across the entire operation and maintenance process, leading to slow response times and challenges in supporting overall production, supply, and sales optimization.

A certain steel group began implementation in August 2022 and started operation in October. Zhongyun Technology provided a complete hardware solution and fault algorithm software, covering all equipment in the plant. Approximately 980 design measurement points were set, managing equipment including crushing systems, grinding and selection systems, gravity separation systems, screening systems, mining systems, roller grinding systems, and various equipment in pump systems, totaling 180 units.
Significant economic benefits:
1) Reduce maintenance costs
Avoid "small problems turning into big ones." Intervene during the early fault stage (such as slight bearing wear), reducing maintenance costs by 30%-40%.
2) Optimize spare parts inventory
Accurately predict spare parts replacement time to achieve "just-in-time" procurement, reducing capital occupation and storage costs, lowering spare parts inventory by 20%-30%.
3) Reduce production losses
Eliminating unplanned downtime is the lifeline for key processes such as blast furnaces, continuous casting machines, and rolling lines. Predictive maintenance can increase equipment availability by 5%-10%, directly translating into huge output value.
Ensure production stability and quality consistency:
1) Stabilize process flow
The stability of process parameters such as blast furnace conditions, roller precision, and continuous casting speed directly affects product quality. Predictive management ensures equipment status stability, thereby guaranteeing product quality consistency and reducing waste and downgraded products.
2) Extend equipment lifespan
Perform lubrication, calibration, and maintenance at optimal times to avoid long-term operation in suboptimal conditions, thereby extending the overall equipment lifespan.
Drive operational mode transformation and decision optimization:
1) From "experience-driven" to "data-driven"
Transform the personal experience of senior technicians into reusable AI algorithm models, reducing dependence on specific individuals and making the decision-making process more scientific, transparent, and traceable.
2) Optimize resource allocation
The maintenance team can be freed from heavy emergency repairs and periodic inspections to focus more on equipment optimization, technical upgrades, and strategic planning, which are higher-value tasks.