Allen C. Chen
Innovatech Solutions
IEEE Life Senior Member

Michael Condry
ClinicAI
IEEE Life Fellow

Victor Huang
Onlye Solutions
IEEE Life Fellow

Yebin Wang
Sr Principal Research
Scientist
Mitsubishi Electric
Research Laboratories

Zhibo Pang
Sr Principal Research
Scientist
Mitsubishi Electric
Research Laboratories

Title: Research and Development of Lidar and Its Application

Abstract:In recent years, with the continuous development of Lidar technology and products, its application value has been more emphasized in the fields of mobile robots, intelligent traffic perception, and automatic drives. This report summarizes and introduces the technical principle, development history, technical form, and product category of Lidar, and analyzes the specific requirements and current technical level of Lidar according to different application fields. In addition, in the form of cases, the report also focuses on the introduction of global awareness of intelligent transportation solutions based on Lidar.

Title: Practice Study on Industrial Internet in Process Industry

Abstract:Industrial Internet is aimed at the digitalization, networking, and intelligence needs of the manufacturing industry, building a data platform based on massive data collection, aggregation, and analysis. At the same time, Industrial Internet supports the ubiquitous connection of manufacturing resources, elastic supply, and efficient configuration in enterprise operations. This report focuses on the practical application of Industrial Internet platforms combined with continuous production and high-security integration in process industries, achieving the ultimate goal of improving safety, quality, efficiency, and environmental protection in process intelligent factories.

Title: WISDRI''s iBF Solution Promotes BLAST Furnace's Digital Transformation

Abstract:Steel enterprises play a vital role in China's economy, but are also one of the main sources of carbon emissions. Blast furnaces, featuring high yield and high volume, reduction of carbon emissions of blast furnaces is a key branch of carbon neutrality. On the other hand, blast furnaces are labeled with the "black box" characteristics of high temperature, high pressure, sealing, and continuous production, and internal information is extremely scarce, making it difficult to implement synchronous monitoring. While maintaining stable and high production, how to reduce energy consumption has always been a global challenge. At present, the informatization, intelligence, and unmanned operation of blast furnaces are recognized as the key to solving the above problems.
Based on the demand for transparency in blast furnace production and the intelligent perception core, an intelligent blast furnace solution has been gradually constructed by WISDRI Corporation Ltd., Which actualized in six steps: less production personnel, intelligent management, transparency inside the furnace, prompt warning, comprehensive evaluation, and standardized guidance. Specific measures such as real-time monitoring of key areas through intelligent monitoring instruments, analysis on the mechanism and big data information of blast furnace status, and accurate analysis and judgment of blast furnace status based on expert rules. Helping blast furnace production to operate reasonably, scientifically, and effectively, ultimately achieve indicators optimization and management improvement, and accomplish the goals of blast furnace safety, efficiency, longevity, and green.
These achievements have made us the leader and the carbon neutrality practitioner of the ironmaking industry.

Title: Data Intelligence for Industrial Manufacturing: Practice Sharing

Abstract:Data technology with artificial intelligence on top has been upgrading industrial manufacturing in the recent 10+ years, in both production and overall delivery process. The presentation will focus on the practice of research, development, and application of data intelligence solutions in industrial manufacturing, around multiple crucial topics like quality, production, energy, etc. with concrete technical use cases and lessons learned. The presentation aims to deliver some understanding and patterns from a practice point of view regarding how data intelligence benefits industrial manufacturing upgrading with added value.

Title: Trends and Practice of Digital Transformation in Chinese Manufacturing Sector

Abstract:This talk will introduce digital transformation models for manufacturing, data-driven X IIoT platform, big data analysis, and AI applications. Digital twin applications and going beyond: particularly on the digital transformation strategy toward building a digital ecosystem.

Title: Exploration of the Connected Collaborative Perception and Decision-Making Based on C-V2X in Dongfeng Motor

Abstract:Intelligent connected vehicles refer to a new generation of intelligent vehicles equipped with advanced onboard sensing, decision-making planning and control, execution, and other devices, and integrating modern communication and network technology, enabling vehicles to have a complex environmental perception, intelligent decision-making and control functions, and can comprehensively achieve safety, energy conservation, environmental protection, and comfortable driving.
From the perspective of perception and decision-making planning control carriers, intelligent connected vehicles can be divided into autonomous intelligent vehicles and connected vehicles. Among them, the perception and decision-making planning control carrier of autonomous intelligent vehicles is vehicles, while the perception or decision-making planning control carrier of connected vehicles is composed of vehicles and roadside equipment.
The onboard perception unit of autonomous intelligent vehicles has many recognition limitations in blind spots, lane recognition under adverse weather conditions, beyond the line of sight perception, traffic signal recognition, and traffic guidance, which pose certain traffic safety hazards to intelligent driving vehicles. However, roadside intelligent terminals can compensate for the perception and planning control limitations of autonomous intelligent vehicles, forming a combination of autonomous and networked vehicle road coordination solutions, Thus improving traffic safety and improving traffic efficiency.
This talk introduces Dongfeng Motor's practice in the field of vehicle road collaboration, including system architecture design for different application scenarios, achieving target-level integration between vehicle and road ends in the designed system architecture, and mainly solving difficulties such as target spatiotemporal synchronization and fusion spatial compensation. After completing the generation of collaborative perception targets, we attempt to reconstruct traffic environment information and achieve vehicle decision planning and control in various scenarios through reinforcement learning to complete vehicle traffic tasks.