The computer aided decision-making system for improving the working efficiency of dredgers
Type:
Presented during:
WODCON XVII: "Dredging in a Sensitive Environment" - 2004, Hamburg, Germany
Authors:
Tian junfeng, Gu ming, Liu reixiang, Zhu xiaoming
Abstract: This paper focuses on the research and development of a computer aided decision-making system for improving the working efficiency of dredgers which has already been applied to the cutter suction dredger Jin Hang Jun 218 of the CHEC group during the year 2003.
Data was gathered at the relevant work site for a certain period then comment is made based on an analysis of the data collected. This could include the capability and possible operation of equipment, such as whether a pump is working at optimum working conditions, or whether the most suitable dredging technology is being adopted. The above system is planned to provide the best dredging operating parameters of a guiding nature. An example of this would relate to a situation where there are similar working conditions and operators could look at what kind of pump group, current velocity, material concentration, dredge pump rotation, cutter side swing speed, cutter speed or what cutting thickness for the soil should be adopted. The plan is designed to provide a guide for operating staff on how to operate the dredge equipment to realize a higher production rate subject to the condition that equipment on the dredger is to be operated in a safe manner.
In addition, the parameters gathered and displayed by the system can be printed, stored or played back and the marginal values for the operating conditions can be modified at any time in line with requirements. Moreover, when the critical state of each part is reached, early warning signals can be given for adjustment to the diesel engine pump, extra dredging and transportation capacity, dredging parameters, abnormal state in the pipeline, etc,. The system can also automatically control the pump speed in order to achieve a reduction in energy consumption and give a display of the relationship between the patterns of pump speed, pipeline length, oil consumption and production.
Keywords: dredging efficiency, decision-making system, optimum concentration value, limited concentration value