Prof. Hing Kai Chan
Nottingham University Business School, China
Research Area: Production and operations management; Logistics and supply chain management; Scheduling; Technology adoption; Industrial informatics; Soft computing
Title: Integrated maintenance scheduling, location and routing decisions problem for offshore wind farms
Abstract: Offshore wind farms are very important to produce renewable energy, which help achieve sustainable development goals. Offshore wind farms, similar to other power generating plants, require maintenance work. A Service Operation Vessel and a Safe Transfer Boat (or Crew Transfer Vessel) are used to maintain a set of turbines in this setting. The aim is to dynamically and simultaneously find the best locations for the Service Operation Vessel in the plane (i.e., the sea) and to determine the best delivery and pick-up routes used by the Safe Transfer Boat to access the turbines. Given the limitations of solving this problem using exact methods in a continuous space, a hybrid model with a mixed-integer nonlinear programming and Genetic Algorithm is proposed. The computational results, using the Thanet offshore wind farm in the South East of the UK as an example, demonstrate the effectiveness and robustness of the proposed hybrid method.
Assoc.Prof. Ziqiang Zeng
Sichuan University, China
Research Area: Data-driven decision making; Intelligent transportation systems; Engineering system optimization; Energy policy analysis
Title: Balanced strategy based on environment and user benefit-oriented carpooling service mode for commuting trips
Abstract: Besides saving money and providing convenience, carpooling can result in environmental benefits to society; therefore, it is important to promote and improve daily carpooling services. However, some conflicts related to carpooling match rates and environmental protection have been influencing user satisfaction. To broaden the carpooling service scope and improve service flexibility, an environment and user benefit-oriented carpooling service model was developed that included mixed user groups, different user types, multiple origin and destination pairs, a time window and user attitudes, and considered the cost and time efficiency requirements of the users to guarantee individual benefits and provide more reasonable matches. A 0-1 nonlinear optimization model was built to describe the model and an improved genetic algorithm based on a nearby matching principle designed to find the optimal solution. Finally, a case simulation from Chengdu city was conducted to demonstrate the effectiveness of the proposed model and the influence of different user attitudes on the carbon emissions and match rates, from which it was found that the proposed carpooling mode was able to provide a more systematic carpooling plan, avoid the increased carbon emissions from potential mismatching due to time and efficiency losses, and guarantee the maximum social benefit.
Assoc.Prof Ke Zhang
University of Electronic Science and Technology of China, China
Research Area : Internet of Things, AI and Network Security
Title: Design and Implementation of a Sensors System for Wireless Spectrum
Abstract: With the increasing shortage of wireless spectrum resources, it is urgent to monitor and utilize the limited wireless spectrum resources rationally. In our project, a scattered wireless spectrum sensor network system is proposed and applied to electromagnetic spectrum monitoring in a city environment. We design a wireless spectrum sensor node and wireless spectrum sensor network, then develop a city wireless spectrum monitoring software system. We describe the network architecture and software design process in detail and then design several experiments to test the system. The results show that our system can satisfy the electromagnetic spectrum environment monitor requirements.
Nanchang Hongkong University, China
Visiting Professor, University of Wisconsin Madison, USA
Research Area: Industrial Engineering, Internatioal Trade, Economic and Management
Title: Industry 5.0 and its implications in intelligent manufacturing in China
Abstract: Introduce the details of Industrial 5.0 nine core technologies, describe it’s implications in intelligent manufacturing in China, elaborate the comparison of intelligent manufacturing in various countries in the world and the development and application prospects of intelligent manufacturing in China.
Assoc.Prof. Anwar Ali
Zhejiang Sci-Tech University, China
Research Area : Electronic and Communication Engineering
Title: Printed Magnetorquer for the Attitude Control of a Small SpaceCraft
Abstract: The nanosatellite market is rapidly growing for scientific and commercial applications. The main reason is the availability of low-cost commercial off-the-shelf components and already-developed subsystems in the market. This evolution also enabled many universities and small and medium-sized enterprises (SMEs) to develop their own satellites. The problem with small satellites is the available space and weight constraints for housing a large number of required subsystems, such as power, attitude determination and control, telecommunication, and payload. The ultimate solution is to make all subsystems smaller and lighter. Attitude control system orientate the satellite in space to rotate solar panels towards Sun and antennas towards ground station. Normally permanent magnets, reaction wheels, and magnetic rods are used for this purpose, but their price, weight, and size make them incompatible with small satellites. In this conference, we are going to discuss an innovative embedded attitude actuator called embedded magnetorquer coil, which is inserted in the internal layers of the power management PCB (printed circuit board) of a small satellite. The resultant system is very light, reconfigurable and occupies no extra space on the spacecraft.