automation in steel industry

We provide intelligent solutions and equipment for the metallurgy process | steelmaking | continuous casting | steel rolling


View our products by categories below, or you can contact us directly with your requirements and we will provide solutions for you

Visual inspection

Focus on vision system solutions, with a core R&D team and property rights algorithms for measurement, detection, identification, positioning, and deep learning.

Industrial robot project

Excellent industrial robot system integration experience, novel tooling design, low failure rate, advanced and reliable technology, and accumulated experience of more than 300 project delivery.

Online measurement systems

Widely used in rolling steel, cast pipe, cable, glass pipe, plastic pipe, rubber roller, machining, chemical industry, food and many other fields, and has been well received by users.

Unmanned Crane project

Automatic slag grabbing, precise positioning, anti-sway, and automatic avoidance, liberating people from heavy and dangerous areas.


Intelligent equipment such as continuous temperature measurement of molten iron, online composition analyzer, belt material particle size analysis, coke oven flue inspection robot, etc.

railcar dumpers, hook lifting

Railcar Dumper Hook Lifting Robot syetem

Unmanned operation system for dumper (including hook lifting robot, positive hook robot and rehook robot)

inspection robot, industrial coke oven

Intelligent Inspection Of Coke Oven Bottom Tunnel

Inspecting valve closure, abnormal gas&sound, temperature, instrument data reading, etc.

sintering, robot, sintering plant

Intelligent Oiling Robot Workstation For Trolley Wheels Of Sintering

Visual positioning & judging system to complete wheel oiling and damage assessment

Blast furnace intelligent management and control

The “Smart Blast Furnace Big Data Intelligent Sensing and Visual Management Platform” dynamically displays the real-time changes in furnace status such as charge, air flow, walls, slag skins, and hearths in the entire production process from loading to tapping, which are based from the perspectives of charge visualization, air flow visualization, furnace type visualization, furnace heat visualization, and safety visualization.

Molten Steel Temperature Measurement And Sampling Robot

EAF, LF, Tundish Temperature measuring & sampling

Automatic slag raking machine

The slag surface evaluation function of slag raking system controls the machine to move according to the set path to realize automatic slag raking

furnace thermal camera, smart device, machine vision, heating furnace

High Temperature Thermal Imager System

Use infrared thermal imaging technology to detect defects in refractory materials such as converters, ladles, and hot blast furnaces

Laser marking machine

Produces traces by melting metal at high temperatures and high speeds with the laser to form the required characters.

billet quality

Intelligent Continuous Casting Full Surface Quality Online Inspection System

Real-time non-contact detection and identification of surface defects in continuous casting billets

mould powder in continuous casting, artificial intelligence technology in continuous casting

Automatic Continuous Casting Powder Adding System

To achieve the stability of the slab quality of the continuous caster. Be uniform feeding, stable operation, safe and reliable

Laser Doppler Velocimeter, Doppler Velocimeter, measurement of steel, laser velocimeter

Laser Doppler Speed And Length Measurement System

Online detect the speed and length of  billets to avoid the correction rate caused by short-length billets and improve  efficiency of enterprise


Our products are widely used in steel, electric power, welding and other fields. With machine vision as the core, DBM can provide intelligent equipment R&D, machine vision, robot application design, and manufacturing and transformation services such as unmanned factories in the metallurgical industry and other industries,

Advantage of intelligent metallurgy technology

Compared with traditional metallurgical technology, the development advantages of iron and steel intelligent metallurgy technology have the following development advantages:

1) Reduce costs

Intelligent iron and steel metallurgy technology can effectively reduce production costs and improve production efficiency through digital, intelligent and automated production methods.

2) Improve quality

The digital and intelligent production method can monitor and analyze the production process in real-time, so as to improve the stability and reliability of production quality.

3) Reduce energy consumption and emissions

Intelligent technology can accurately control key parameters such as temperature, pressure, and oxygen content in the production process, thereby reducing energy waste and emissions of waste gas, wastewater and other pollutants.

4) Enhanced security

Intelligent technology can realize real-time monitoring and control of the production process and can detect equipment failures or abnormal conditions in time, thereby enhancing product safety.

5) Promote industrial upgrading

The application of steel-intelligent metallurgical technology can promote the transformation of the traditional steel industry to digital, intelligent and green, and enhance the competitiveness and sustainability of the industry.

6) Intelligent maintenance

Intelligent technology can realize real-time monitoring and intelligent maintenance of steel equipment through sensors and data acquisition technology, reduce equipment failure, and improve production efficiency and equipment reliability.

In short, intelligent steel metallurgical technology can bring more efficient, more environmentally friendly, safer, and more reliable production methods, providing a broad space and opportunity for the sustainable development of iron and steel enterprises.

Artificial Intelligence in the Steel Industry

Eight AI application scenarios commonly used in the steel industry

1. Intelligent recognition

Aiming at many difficulties and pain points in iron and steel metallurgical production, the artificial intelligence image recognition technology is closely combined with knowledge in the iron and steel field, and professional industrial cameras and visual intelligence algorithms are used to replace “human eyes” and “human brains”. Free skilled workers from those “3D” jobs (dirty, tiring, dangerous, dangerous, poor working environment, simple repetitive jobs) and boring “staring at the screen” work, Change the way of working, improve work efficiency, and further promote the reduction of staff and efficiency of iron and steel enterprises.

For example, the conventional counting system in the bar production line generally has problems such as weak anti-interference ability, inaccurate counting results, high failure rate, and difficulty in manual review after the steel is divided into bundles. These problems largely limit the entire steel rolling production line. The intelligence level and quality control level of the line.

The intelligent bar counting system adopts intelligent stereo vision technology, which overcomes the pain points of the industry, and can meet the application requirements of counting and volume measurement of various wire rods and pipes.

The original manual counting machine is cumbersome, but the visual AI perception can “one-click counting”, and the visual analysis is triggered in linkage, and the analysis results are verified with the weighing count and the quantity of the manifest.

If there is a discrepancy between the number of counts and the weight information, go offline to the waiting area.

2. Equipment failure prediction and health management

The main implementation methods of artificial intelligence in equipment failure prediction and health management are as follows:

(1) Effective combination of AI technology and machine vision;

(2) Obtain a cost-effective forecasting scheme;

(3) Abundant fault data and labels.

On the one hand, equipment operation and maintenance based on artificial intelligence technology can predict equipment failures before accidents and reduce unplanned downtime.

On the other hand, in the face of sudden equipment failures, it can quickly diagnose the failure, locate the cause of the failure and provide corresponding solutions.

3. Vision-based surface defect detection

The application of surface defect detection based on machine vision has become more common in the manufacturing industry.

The combination of machine vision and 3D camera is applied to the steel industry.

It can not only detect product surface quality defects but also the depth information of defects.

For example, there are many types of defects such as surface scratches, cracks, pits, and foreign matter intrusion in the production process of continuous casting slabs in steelmaking plants.

After adopting the visual automatic detection of surface defects, through setting the minimum value and maximum value of the area and size, the detection of pits on the surface of the slab and the detection of longitudinal cracks on the surface of the slab are carried out automatically.

By introducing 3D camera technology, longitudinal fissure depth information can be detected automatically.

4. Smart Logistics

Intelligent logistics in the iron and steel industry realize the rational allocation of logistics and transportation resources and the coordination of transportation instructions through the establishment of an integrated and collaborative logistics dispatching model through technical measures such as the integration of logistics information, automation of the parking area, vehicle tracking, and mobile applications, and the optimization of supporting management processes. Intelligent generation improves the efficiency of logistics and transportation.

Specifically, it includes billet automatic number spraying and furnace billet number automatic identification technology, conveying automation technology, packaging automation technology, automated warehouse (wireless positioning), intelligent delivery, etc. Goal: To achieve accurate measurement, weighing, positioning and tracking, automatic transportation of production materials, transportation tools, intermediate products and final products, accurate scheduling of materials, and consistency with financial settlement.

5. Intelligent decision-making

In terms of product quality, operation management, energy consumption management, and production planning management, iron and steel enterprises can apply artificial intelligence technologies such as machine learning, combined with big data analysis, optimize scheduling methods, and improve corporate decision-making capabilities.

The steelmaking intelligent management and control platform is a system platform for centralized management and control of production factors such as production planning, furnace machine matching, furnace machine production rhythm, production condition adjustment, process flow requirements, and abnormal state control. The system only needs one operation interface and one set of models, a command centre, and a production driving point, the whole process can be realized on time.

And it can build a just-in-time production model with automatic matching of multiple furnaces and multiple machines, automatic error correction, and efficiency priority to achieve scientific, efficient, accurate, and balanced production goals.

6. Digital twin

Digital twins are mirror images of objective things in the virtual world.

The process of creating a digital twin integrates artificial intelligence, machine learning, and sensor data to build a “real” model that can be updated in real-time and has a strong sense of presence to support decision-making in various activities in the physical product life cycle.

By making full use of the automatic control mechanism model, machine learning model and process simulation model, the digital twin system adopts various sensing technologies of sound, light, electricity, magnetism and heat, and is based on the industrial Internet platform and big data. Based on the theory of physical quantity, multi-scale, and multi-probability, create a parallel continuous casting production site with a one-to-one mapping between virtual and reality, and realize virtual evaluation of continuous casting production, digital process simulation, and three-dimensional immersive operation guidance, etc.

Employees can easily understand the dispatching situation of the continuous casting regional logistics through the overall interface, and dispatch and command the on-site equipment in a timely manner according to the actual production situation.

7. Smart security management

Using technologies such as cloud computing, big data, Internet of Things, machine vision, intelligent algorithms, 5G, BIM, etc., through the management of safety regulations in all aspects of the enterprise, production and operation monitoring and early warning, resource management and accident investigation, special equipment monitoring and other systems, it can Realize comprehensive monitoring of the site, provide guarantee for all-around production safety management, and feedback the collected information to the platform for multi-dimensional statistical analysis to form timely, effective, accurate and complete engineering big data, real-time, Comprehensively and accurately grasp the situation of the production site, and realize green, digital, refined and intelligent safety management.

8. Demand forecasting, supply chain optimization

Through the analysis of external data, an accurate demand forecasting model is established, and based on demand forecasting, inventory replenishment strategies are formulated, as well as supplier evaluation and procurement strategy optimization.

(1) Guarantee the continuity of production

Purchasing department should carry out personalized procurement according to the customer’s demand for steel, formulate a corresponding raw material procurement plan, choose suppliers reasonably, ensure the required materials, and supply them in time.

(2) Control risks and reduce costs

Iron and steel raw material suppliers often have to go through long-distance transportation to iron and steel enterprises, especially raw materials such as imported iron ore and scrap steel, and take precautions against various risks.

Under the premise of ensuring the continuous production of steel, artificial intelligence data analysis can provide data for the procurement department, optimize procurement strategies, and directly or indirectly reduce procurement costs.

The specific manifestations of the application of artificial intelligence in a steel plant are as follows:

(1) Rod and wire branch factory, hot rolling, and plate online quality monitoring system, etc.

It has realized product quality tracking and control; scrap steel identification projects, surface quality inspection projects, etc., and has broken through the performance prediction of steel products in a single process section and the structure and performance prediction of steel plates based on big data.

(2) Patrol robots, robots for automatic clay change, tuyere inspection robots, number spraying robots, slag adding robots, welding mark robots, etc. realize the detection of dangerous areas and personnel dangerous behaviors through environmental perception, personnel behavior recognition, and personnel location tracking. control, replacing a series of manual operations.

(3) Smart coking, smart blast furnace, smart two-cutting, etc. use technologies such as online detection, smart diagnosis, and smart image recognition to realize predictive maintenance and full life cycle management of equipment.

(4) The unmanned overhead crane in the hot-rolled finished product warehouse and the unmanned overhead crane in the dry coal shed use mobile communication technology and positioning application technology to realize the mobile scheduling and intelligent scheduling of storage materials; use the Internet of Things sensing technology to realize the fixed positioning of storage materials, Speed up material turnover.

overhead crane remote control systems, steel mill overhead cranes, intelligent manufacturing, intelligent manufacturing in steel industry, plc crane control
inspection robot
Metallurgical Intelligence
Change the way of manufacturing

Save labor, improve working environment, improve efficiency, reduce error rate and save cost!

Металлургический интеллект
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