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HOME

ABOUT US

INTELLIGEN MANUFACTURING

WHAT WE DO

NEWS & MEDIA

INVESTOR RELATIONS

CONTACT

INTELLIGENT PRODUCTION LINE

Intelligent stockyard
Intelligent sintering
Intelligent coking
Intelligent iron making
Intelligent steelmaking
Smart bar and wire
Strip quality analysis system

Using machine vision, network interconnection, data analysis, edge computing, 3D simulation and other technologies to complete the automatic production scheduling, process optimization, intelligent mixing and batching of the stockyard, and at the same time build a data-driven visual digital twin virtual stockyard to realize the automation of stockyard control , Unmanned operation, standardization of safety and environmental protection, intelligent management decision-making.

major function

Advanced planning and scheduling

Stacking 3D modeling and dynamic maintenance management

Palm Factory

Triple stack anti-collision

Intelligent mixing

Digital Twin Factory

Precise positioning and measurement

Unmanned stacker-reclaimer

economic performance

Improvement of operation efficiency

The storage of materials is orderly and uniform, and the utilization rate of the stock yard is improved

Stabilizing the Composition of Blended Ore and Improving the Quality of Blended Ore

Energy Saving

Based on process model, machine learning algorithm and AI identification, a big data mining and analysis system with production, equipment, inspection, energy environment and other data as the core has been built to achieve intelligent control of sintering, equipment health diagnosis management, production data traceability and 3D visualization of the factory.

major function

Optimization of batching calculation

Moisture control

BTP control of sintering end point

Sintering end point deviation control

Ignition control

Component prediction

Thermal imaging of sintering machine tail

Status recognition of sintering machine

IoT, machine vision technology and field control are combined to complete the transmission and analysis of field data. Through artificial intelligence, data mining and other technologies, the traditional coking industry has been changed from labor-intensive, heavily polluted and backward in control. It has improved energy utilization, energy conservation and emission reduction, realized unmanned operation, and promoted the coking industry to be "efficient, clean, low-carbon, circular, green and developing".

major function

Coke oven top temperature measuring robot

Intelligent coordination system of coke oven gas collector pressure

Intelligent Control System for Coke Oven Heating

AI identification system (hoist hook+APS)

Coke oven basement inspection robot

System characteristics

Robot instead of manual is used to complete patrol inspection and measurement under harsh environment

Use AI and IoT technology to complete the transmission and analysis of field data

The expert control system is used to coordinate the pressure of the whole pipe network to avoid smoke and fire

Use fuzzy control system to complete combustion control and achieve the goal of energy saving and emission reduction

Technical advantages

The system has strong adaptability. After the production line is completed, the optimization effect can be achieved without long-term adaptation

Obvious economic benefit, 1~3% can be saved after automatic heating

Avoid local overheating of coke oven and reduce the emission of SO ∈ and NOx

The recognition rate of machine vision system exceeds 99%

Based on the industrial Internet, the ironmaking data center is established by applying edge computing, visual analysis, super fusion and other technologies. Through the analysis and integration of data, the intelligent diagnosis of equipment health and the analysis and tracing of production data are realized. Combined with the intelligent module and expert model system of iron making, the simulation production, intelligent control, intelligent decision-making and intelligent operation and maintenance of iron making are realized.

major function

Feeding tracking

Self learning distribution of furnace top material flow

Automatic burning control of hot blast stove

Intelligent injection

Production records

Expert intelligent analysis

Intelligent visual temperature measurement and prediction of molten steel temperature in RH vacuum chamber

By using infrared thermal imaging visualization technology, combined with big data analysis and relevant models, the online prediction of molten steel temperature and composition is realized, and the real-time prediction of refractory temperature and cold steel on the wall of the vacuum chamber is made to provide targeted solutions, so as to improve the quality of molten steel and reduce production costs.

Intelligent visual temperature measurement and prediction of molten steel temperature in RH vacuum chamber

One touch intelligent steelmaking of converter

Through the construction of converter smelting process model, with the help of big data analysis, accurate control of molten steel composition and temperature in converter smelting process can be achieved to improve the quality of molten steel and reduce production costs.

Ladle car reladling

One button intelligent tapping of converter

The independently developed technologies such as converter tilting zero speed hovering, Baotou steel car precise positioning, automatic tracking of rotary chute, image recognition of converter mouth slag surface and steel flow, and dynamic tapping model are used to realize automatic tapping of converter, ensure stable, safe and efficient tapping process of converter, reduce labor intensity, and reduce cost and increase efficiency for enterprises.

major function

Intelligent visual temperature measurement and prediction of molten steel temperature in RH vacuum chamber

One touch intelligent steelmaking of converter

Ladle car reladling

One button intelligent tapping of converter

Based on super fusion technology, AI vision, big data analysis, combined with a variety of intelligent algorithms, to achieve visual production process, optimal process parameters, optimal product quality, and controllable process cost, and build a "one line, one room" smart bar and wire factory with the goal of "efficiency, safety, and green".

major function

Visualize production line and equipment status

Optimization of process control parameters

Energy management and analysis optimization

Prediction and traceability of equipment and quality anomalies

Zero interval rolling

Model control of through water cooling

Intelligent control of flying shear optimization

Full automatic control of cooling bed and collection area

Through the deep mining of the strip production process data, the hidden information of the production process is found, and the production trend is predicted in advance to prevent quality problems. It provides strong support for equipment maintenance, process monitoring, quality improvement, production process adjustment, etc. in the process of strip production.