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- INTELLIGENT PRODUCTION LINE
- Intelligent stockyard
- Intelligent sintering
- Intelligent coking
- Intelligent iron making
- Intelligent steel making
- Smart bar and wire
- Intelligent Seamless Pipe
- Machine vision, network interconnection, data analysis, edge computing, blending model, laser radar modeling, 3D simulation and other tecnologies are used to complete automatic production scheduling, process optimization, intelligent blending and batching at raw material yards. Build data-driven visual digital-twin virtual raw material yards, use 5G technology to improve data transmission speed and stability and allow automatic raw material yard control, unmanned operation and intelligent management decision-making.
- Machine vision, network interconnection, data analysis, edge computing, blending model, laser radar modeling, 3D simulation and other tecnologies are used to complete automatic production scheduling, process optimization, intelligent blending and batching at raw material yards. Build data-driven visual digital-twin virtual raw material yards, use 5G technology to improve data transmission speed and stability and allow automatic raw material yard control, unmanned operation and intelligent management decision-making.
- Control Automation
- Unmanned Operation
- Intelligent Management Decision-making
- 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
- Work Efficiency Improvement Reduce manpower by about 60%
- Neat and uniform material stacking Increase raw material yard utilization rate by more than 20%
- Stabilize and mix mineral compositions Improving quality of mixed ore Ingredients error < 5%
- Energy Saving Reduce energy consumption by about 10%
major function
economic performance
- Based on process models, machine learning algorithms, a big data mining and analysis system with production, equipment, inspection, energy and environmental data as the core is built to provide digital and intelligent management over sintering process to allow intelligent sintering control, stable production and higher sintering quality and improve energy control efficiency.
- Based on process models, machine learning algorithms, a big data mining and analysis system with production, equipment, inspection, energy and environmental data as the core is built to provide digital and intelligent management over sintering process to allow intelligent sintering control, stable production and higher sintering quality and improve energy control efficiency.
- Intelligent control
- Stable production
- Intelligent control efficiency
- Optimize batch calculation
- Moisture control
- Burning through point (BTP) control
- Burning through point deviation control
- Ignition control
- Compositions forecast
- Sintering machine tail thermal imaging
- Sintering machine status identification
- Intelligent optimization control over power generation using sintering waste heat
- Stable raw material compositions
- Stable burning through point position
- Stable trolley section sintering speed
- Stable mixing bunker charge level
- Stable return ore bunker volume
- Stable feed surface ignition effect
- Refined batching
- Automatic generation of the optimal ratio
- Key equipment for real-time machine vision monitoring
- Early warning prior to fault
major function
Production Effect
High quality and production
Lower cost
Predictive maintenance
- Complete on-site data transmission and analysis by combining IoT, machine vision technologies and on-site control. Change the situation of labor intensiveness in coking, heavy pollution and poor control using technologies such as artificial intelligence and data mining; promote "efficient, clean, low-carbon, cyclic and green" development of coking industry by improving energy utilization, energy saving and emission reduction and unmanned operation.
- Complete on-site data transmission and analysis by combining IoT, machine vision technologies and on-site control. Change the situation of labor intensiveness in coking, heavy pollution and poor control using technologies such as artificial intelligence and data mining; promote "efficient, clean, low-carbon, cyclic and green" development of coking industry by improving energy utilization, energy saving and emission reduction and unmanned operation.
- artificial intelligence
- data mining
- machine vision
- Longitudinal temperature of coke oven Measuring robot:
- Intelligent control system for coke oven heating:
- Intelligent coordination system for coke oven gas collector pressure:
- AI warning system for Coke Dry Quenching lifting:
- Pushing ram and oven wall liner temperature measuring system:
- Coke oven basement inspection robot:
- Optimization system for coke dry quenching waste heat power generation:
- Coal blending optimization system:
- Use robots in place of labors to complete inspections and measurements in harsh environments
- Use AI and IoT technologies for on-site data transmission and analysis
- Use expert control system to coordinate overall pipeline pressure and avoid smoke and fire
- Use fuzzy control system to complete combustion control and achieve goals of energy-saving and emission reduction
- Combine machine vision technology with on-site control to provide multiple guarantees for safe production
- High system adaptability, allowing optimization upon completion and operation of the production line, with no need for long-time adaptation
- Significant economic benefits, with about 1-4% energy consumption reduction after automatic heating
- Avoid local overheating in coke oven and reduce emission, especially SO2 and NOx emission
- Machine vision system recognition rate > 99.99%
Main Functions
Replace manual longitudinal temperature measurement and increase measurement frequency
Intelligent regulation of heating gas pressure, Reduce gas consumption by 1-4%
Allow fully automatic control on the very day of production, completely eliminating smoke and fire
Machine vision prevents unhooking, collision, red coke falling and increase recognition rate to ≥ 99.99%
Replace manual horizontal temperature measurement and improve heating uniformity in length and height directions. Protect oven body, improve post reaction strength of coke and effectively reduce standard temperature
Complete on-site data transmission and analysis by combining IoT, machine vision technologies and on-site control. Change the situation of labor intensiveness in coking, heavy pollution and poor control using technologies such as artificial intelligence and data mining; promote "efficient, clean, low-carbon, cyclic and green" development of coking industry by improving energy utilization, energy saving and emission reduction and unmanned operation.
Improve comprehensive efficiency of circulating fans, boilers and steam turbines; reduce self power consumption and increase net generation
Improve coal blending efficiency and optimize coal blending costs
System Characteristics
Technical Advantages
- Build an iron making data center using edge computing, visual analysis, superfusion and other technologies starting from core processes such as blast furnace body, feeding tracking, intelligent injection and blowing and hot-blast furnace and on the basis of industrial Internet. Develop intelligent cockpit system based on digital twinning technology and 3D modeling to allow visual and digital monitoring and control over key zones of blast furnace; allow intelligent diagnosis of equipment health and production data analysis and tracing through data analysis and integration; allow simulated production, intelligent control, intelligent decision-making and intelligent operation and maintenance in iron making through intelligent iron making module and expert model system so that stable and efficient output
- Build an iron making data center using edge computing, visual analysis, superfusion and other technologies starting from core processes such as blast furnace body, feeding tracking, intelligent injection and blowing and hot-blast furnace and on the basis of industrial Internet. Develop intelligent cockpit system based on digital twinning technology and 3D modeling to allow visual and digital monitoring and control over key zones of blast furnace; allow intelligent diagnosis of equipment health and production data analysis and tracing through data analysis and integration; allow simulated production, intelligent control, intelligent decision-making and intelligent operation and maintenance in iron making through intelligent iron making module and expert model system so that stable and efficient output
- Visual analysis of raw material particle size
- Radar feed surface detection
- Automatic bunker searching and unloading by tripper car
- Analysis and Evaluation for In- telligent Hot-blast Furnace Bu- rning
- ntelligent Slag Catch
- ntelligent Injection and Blowing
- Blast Furnace Expert System
- Gas consumption by intelligent hot-blast furnace burning system is reduced by 3% and average hot air temperature is increased by about 10°C.
- Digital image processing technologies are used for analysis of raw material particle size and distribution in real-time to provide fast and accurate particle size information for blast furnace operators.
- Long-term stable coal injection rate error of the intelligent injection and blowing system is less than ± 5%, resulting in increase in coal injection rate, coke usage reduction, production cost reduction and pollution reduction.
- The system carries out furnace feed surface scanning and 3D modeling through mechanical scanning radar to provide reference for material distribution. Blast furnace operators adjust material distribution considering feed surface and influence gas flow distribution by changing distribution of furnace charge at furnace throat and feed surface shape so that positions and shapes of softening zones are changed, gas utilization is improved and stable and smooth operation and higher output and efficiency of blast furnace are achieved.
Main Functions
Collect digital images from conveyor belt using digital image processing technology, carry out real-time calculation of particle size and analysis of distribution ofthe particles and identify material grain size and distribution to quickly provide accurate grain size information for blast furnace operators.
The system carries out furnace feed surface scanning and 3D modeling through mechanical scanning radar to provide reference for material distribution. Blast furnace operators adjust material distribution considering feed surface, influence gas flow distribution by changing distribution of furnace charge at furnace throat and feed surface shape so that positions and shapes of softening zones are changed, gas utilization is improved and stable and smooth operation and higher output and efficiency of blast furnace are achieved.
Tripper car positioning, charge type tracking, charge level detection and fully automatic unloading are applied to allow intelligent materials management.
Proportional extreme value adjustment method is used for intelligent analysis and evaluation of hot-blast furnace, and fuzzy thinking is applied to establish a mathematical model in sections to handle overshoot with high inertia and periodically correct fuel proportioning. Reduce excessive combustion air or gas so that hot-blast furnace is at optimal combustion state for the majority of the time.
Renovate cranes and conveyor belts and the functions and improve slag pool management system to allow unmanned operation and intelligent management of slag
Allow automatic safety interlock control during coal loading, stamping, injection and blowing, reladling and pressure relief, and high-precision ceramic regulating valves and algorithm models are used for coal powder injection stability control to allow stable furnace conditions and reducing coke ratio. Long-term stable coal injection rate error is less than ± 5%, resulting in increase in coal injection rate, coke usage reduction, production cost reduction and pollution reduction.
Integrate level-L2 functions such as water temperature differential heat load, hearth erosion, material distribution model, furnace type, hearth balance and hearth activity.
Economic Benefits
- To allow intelligent "one-click steel making", Bestpower Intelcontrol uses independently developed converter tilting and zero-speed hovering, precise positioning of ladle cars, automatic rotating chute following, converter mouth slag level and steel flow image identification, dynamic steel tapping planning curve model and early safety warning model for steel tapping process to allow automatic "one-click steel tapping" and ensure stability, safety and efficiency during steel tapping and reduce labor intensity and reduce cost and increase efficiency for the enterprise.
- To allow intelligent "one-click steel making", Bestpower Intelcontrol uses independently developed converter tilting and zero-speed hovering, precise positioning of ladle cars, automatic rotating chute following, converter mouth slag level and steel flow image identification, dynamic steel tapping planning curve model and early safety warning model for steel tapping process to allow automatic "one-click steel tapping" and ensure stability, safety and efficiency during steel tapping and reduce labor intensity and reduce cost and increase efficiency for the enterprise.
- Stable
- Safe
- Safe
- Production Dispatching and Scheduling System
- Steel making logistics tracking system
- Integrated Quality Management System
- Automatic Steel Making System
- Automatic Tapping System
- Visual Recognition System
- Intelligent Energy Control
- Centralized Steel Making Control Center
- The visual recognition based "visual inspection system for slag level at converter mouth" independently developed by Bestpower Intercontrol has been included in the list of intelligent devices recommended by Intelligent Manufacturing Alliance for Steel Industry and is a key automatic steel tapping inspection technology.
- In converter ladle car positioning, laser ranging technology and software redundancy algorithms are used for reliable and accurate positioning of ladle cars.
- Application of converter tilting and zero-speed hovering technologies allows smooth operation during the automatic steel tapping from converter.
- The 150t automatic converter tapping control system of Jingye Group allowed automatic feeding, unmanned operation at high position and interlock with subl- ance system within a week since going into operation, with automatic converter tapping accuracy up to 0.3, 24-minute smelting cycle and automatic oxygen lan- ce control accuracy within 5 mm.
Main Functions
Provide automatic or manual production scheduling according to production plan received. Quickly determine the optimal production processes, paths and sch- edules for the processes in the steel making workshop.
Use advanced technologies such as wireless WiFi and RFID to complete overhead traveling crane positioning and tracking of ladle, molten iron and scrap steel ta- nk, scrap steel, steel ladle, molten steel and heat number.
Accuracy of decision by quality model is effectively improved by collecting a large amount of quality related data, predicting and controlling quality of products from steel making workshop and optimizing parameters of quality decision models.
Accurate control of molten steel compositions and temperature during smelting in converter, higher molten steel quality and lower production cost are achieved by building a converter smelting process model and utilizing big data analysis.
Independently developed converter tilting and zero-speed hovering, precise ladle car positioning, automatic rotating chute following, converter mouth slag lev- el and steel flow image identification and dynamic steel tapping models and other technologies are used to allow automatic steel tapping from converter, stable, safe and efficient steel tapping from converter, lower labor intensity and cost and higher efficiency.
Real-time on-site images collected by industrial cameras and recognition processing technologies are used for automatic identification of labels to allow corres- pon dence of production process parameters to quality status and develop producthealth records, allow accurate tracking of products and ensure integrity of p- roduct file information and material flow.
Provide factories complete intelligent transformation plan for energy instruments and instrument data collection plan to allow real-time data collection and ener- gy application process monitoring.
Technologies such as fault diagnosis, remote monitoring, video surveillance, automation, intelligent and unmanned operations are used to allow centralized cont- rol and unified management of operating rooms in steel making area and production information data sharing and interflow.
Tconomic Benefits
Economic Benefits
- On the basis of superfusion technology, artificial intelligence technology, Al visual analysis and big data analysis, applying multiple intelligent algorithms, "One-line & One-room" intelligent control system is developed, and digital and intelligent solutions that cover visual recognition systems, KPI statistical systems, quality management systems, status monitoring systems, energy management systems and rod and wire tracking systems are developed to allow visual production process, optimal process parameters, optimal product quality and controllable process costs.
- On the basis of superfusion technology, artificial intelligence technology, Al visual analysis and big data analysis, applying multiple intelligent algorithms, "One-line & One-room" intelligent control system is developed, and digital and intelligent solutions that cover visual recognition systems, KPI statistical systems, quality management systems, status monitoring systems, energy management systems and rod and wire tracking systems are developed to allow visual production process, optimal process parameters, optimal product quality and controllable process costs.
- Efficient
- Safe
- Green
- Steel heaping inspection
- C-type hook number and tilt status recog- nition
- Status monitoring system
- 3D digital twin
- Electronic labeling
- Quality Control
- Visualize production line operation and equipment status
- Optimize process control parameters
- Optimize energy management and analysis
- Predict and trace equipment and quality anomalies
- Zero interval rolling
- Adaptive optimization of micro-tension loop
- Laying head positioning
- Through-water cooling model control
- Intelligent control of flying shear optimization
- Fully automatic control of cooling bed and collection area
- 3D digital twin
- Steel heaping inspection
- C-type hook number and tilt status recognition
- Electronic labeling
Technical Advantages
Using with high-speed cameras and optimized algorithms, allow quick recognition of single-frame images, with recognition rate within 25 ms. From image collection to detection of steel-heaping prediction alarm signal and transmission to PLC, it takes less than 180 ms.
Identify type-C hook number through visual recognition or RFID identification, and complete automatic tracking of wire coils in collection area through hook number identification. Apply edge detection, contour recognition and other technologies to determine presence of type-C hook tilting and reduce production accidents.
Provide multiple analysis tools to analyze rolling data, and provide warning against abnormalities during production to allow operators to know current production status and optimal equipment operation status.
Realistically present on-site scenarios, synchronize data of basic automation, quality control system, status monitoring system and energy control system, monitor production anomalies and provide support for auxiliary operations.
The electronic labeling system based on mobile devices such as mobile phones and PADs allows maintainers to provide equipment maintenance information feedback, eliminate misoperations caused by human error and protect safety of personnel and equipment during equipment maintenance. Quantify workload of maintenance personnel and develop reasonable maintenance pian.
Create risk assessment model for quality influencing factors, explore variable control ranges, find optimal process parameters, conduct quality traceability analysis and assist process management personnel in improving quality and optimizing production processes.
Main Functions
-
Nothing
- 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.
- 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.
- Equipment
- Process monitoring
- Quality improvement
- Production process monitoring
- Quality warning
- Quality assessment and analysis
- Control accuracy analysis
- Defect distribution analysis
- Defect correlation analysis
- Plate type analysis
- Production planning optimization
- Shearing optimization
- Data statistics analysis and report
major function
- LOGISTICS
- Technologies such as AI recognition, anti-swing control, positioning system and 5G wireless transmission and 3D intelligent warehouse management system are used to allow intelligent warehouse dispatching and management and unmanned crane operation. Current situation of traditional cranes and warehousing relying on manual operation and command is changed to reduce labor costs, significantly improve warehousing and logistics efficiency, reduce material loss and allow unmanned, information-based and intelligent warehousing
- Technologies such as AI recognition, anti-swing control, positioning system and 5G wireless transmission and 3D intelligent warehouse management system are used to allow intelligent warehouse dispatching and management and unmanned crane operation. Current situation of traditional cranes and warehousing relying on manual operation and command is changed to reduce labor costs, significantly improve warehousing and logistics efficiency, reduce material loss and allow unmanned, information-based and intelligent warehousing
- AI identification
- Anti-swing control
- Positioning system
- Positioning system
- Crane dispatching system
- Intelligent warehouse management system
- Intelligent expansion module
- Automatic crane system
- Ground management system
- Intelligent database management system is a 3D operating terminal with 1:1 live display
- Intelligent warehouse management system applying modular design, with high scalability
- Parameterized settings for device configuration and dispatching rules, allowing independent decisions by users
- The system integrates functions such as intelligent algorithms, time path optimization, auto- matic obstacle avoidance, virtual two-layer saddle, multi-axis linkage
- System interface optimization design, easy operation, high efficiency, easy use and maintenance
- Increase storage area utilization by ≥ 25%
- Reduce operators 4 persons/crane
- Improve worke fficiency Reduce labor intensity Eliminate safety hazards
- Achieve zero lifting loss Reduce internal friction in enterprises Reduce costs and increase efficiency
- Use of information technology and intellectual technology in logistics management
- To present, the intelligent warehouse management system of Bestpower Intercontrol has been used in 45 storage areas, and over 100 cranes have been renovated and put into use.
System Composition
System Characteristics
Economic Benefits
Cases
- Intelligent rail transportation system utilizes technological and management innovations such as unmanned operation, intelligent dispatching, environmental perception, big data analysis, production simulation and intelligent equipment to connect the most closely correlated links between corporate logistics systems and production systems and achieve driverless operation, intelligent dispatching systems, digital production management and intelligent equipment operation and maintenance. Application of this system has solved problems such as transportation personnel aging, difficulty in recruitment and lagged informatization of production systems, bringing "green" economic benefits such as personnel reduction, efficiency increase, safe production, energy conservation and consumption reduction and has become a popular trend in corporate rail transportation systems development in the future.
- Intelligent rail transportation system utilizes technological and management innovations such as unmanned operation, intelligent dispatching, environmental perception, big data analysis, production simulation and intelligent equipment to connect the most closely correlated links between corporate logistics systems and production systems and achieve driverless operation, intelligent dispatching systems, digital production management and intelligent equipment operation and maintenance. Application of this system has solved problems such as transportation personnel aging, difficulty in recruitment and lagged informatization of production systems, bringing "green" economic benefits such as personnel reduction, efficiency increase, safe production, energy conservation and consumption reduction and has become a popular trend in corporate rail transportation systems development in the future.
- Unmanned operation system
- Intelligent dispatching system
- Environmental awareness system
- Big data analysis system
- Intelligent O&M system
- Production simulation system
- Intelligent Equipment
- 5G+ vehicle-ground communication system
- Precise vehicle control technology
- Production simulation technology
- Dynamic path planning technology
- Industrial wireless communication technology
- Fusion positioning technology
- 3D HMI technology
- Environment perception technology
- Intelligent equipment technology
- Break barriers, allow information connection and 3D technology display
- Online data management, real-time record transmission
- Automatic update of vehicle status
- Online equipment status monitoring, proactive push of maintenance information
- Intelligent planning for dispatching, help production decision-making and management
Main Functions
Key Technology
Technical Advantages
- Nothing
- EQUIPMENT
Overhead Bridge Cranes (OHBC)
Rubber-Tyred Gantry Cranes
Rail-Mounted Gantry Cranes
Ship-to-Shore Container Cranes (STS)
Grab Ship Unloaders Cranes (GSU)
Slewing Cranes (as per requirements)
Improved productivity of the crane system, with a long-term productivity increase of 8%
Reduced damage and prevention of accidents
Simplified crane structure, achieving full/partial automation of the system, resulting in a 2% increase in throughput
Extended service life of the crane system, reduced wear on drivers, and lower energy consumption
Simplified controls for the crane operator, reducing the impact of experience limitations
The Electronic Anti-Sway Control System of Bestpower eliminates the load swing during acceleration or deceleration of the crane, ensuring safe and efficient crane operations, and preventing damage to goods during transportation. With additional features such as record keeping, backup, 3D simulation environment, and IP67 industrial connectors, users are provided with a more intuitive and convenient production experience.
The Electronic Anti-Sway Control System is suitable for the following types of cranes:
Economic benefits:
Order information:
BPI-SC Electronic Anti-Sway Control System
Name | Model |
Anti-Sway Controller | BPI-SC-1200 |
Anti-Sway Controller | BPI-SC-1200-DP |
Anti-Sway Controller | BPI-SC-1500 |
Anti-Sway Controller | BPI-SC-1500DP |
Camera Sensor | BPI-SC-Sensor-210 |
Camera Sensor | BPI-SC-Sensor-300 |
LENNIX Anti-Sway System, imported from Germany
Anti-Sway Controller | LENNIX® Pro |
Camera Sensor | LENNIX® Sense |
Professional Services | LENNIX® Xtra |
- DECISION SUPPORT
- 运用机器视觉、网络互联、数据分析、边缘计算、三维仿真等技术，完成料场自动排产、流程优化、智能混匀配料，同时构建数据驱动的可视化数字孪生虚拟料场，实现料场控制自动化、作业无人化、安全环保标准化、管理决策智能化。
- 控制自动化
- 作业无人化
- 安全环保标准化
- 管理决策智能化
- 高级计划排产
- 智能混匀
- 堆料3D建模及动态维护管理
- 数字孪生工厂
- 掌上工厂
- 精准定位及测量
- 三重料堆防撞
- 堆区料机无人化
Economic Benefits
Address：Bestpower Intercontrol, Building 2, No. 18, JiancaichengDonglu, Xisanqi, Haidian District, Beijing, China
Postal code：100096
E-mail：bp@bpintercontrol.com
Telephone：+86 10 8296 5880
Fax：+86 10 8292 8991
Address：Bestpower Intercontrol, Building 2, No. 18, JiancaichengDonglu, Xisanqi, Haidian District, Beijing, China
Postal code：100096
E-mail：bp@bpintercontrol.com
Telephone：+86 10 8296 5880
Fax：+86 10 8292 8991
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