An IFC-inspection process model for infrastructure projects: Enabling real-time quality monitoring and control

2017 ◽  
Vol 84 ◽  
pp. 96-110 ◽  
Author(s):  
Lieyun Ding ◽  
Kaiman Li ◽  
Ying Zhou ◽  
Peter E.D. Love
2014 ◽  
Vol 1006-1007 ◽  
pp. 390-393
Author(s):  
Ke Chen ◽  
Fang Lei Li

Based on innovative design generation process model and innovative mechanism, this paper designs an evaluation system of the existing publicity translation frame so as to create an appropriate innovative design to implement quality monitoring and control into practice; at the same time, guided by the innovation design cognitive experiment, it also illustrates the formation of quality monitoring and control on publicity translation system. The cognitive motivation of innovation and strategy selection are discussed, and subsequently Xi'an urban publicity translation system innovation design is used as an example to confirm the presentation and the feasibility of the generated creative solutions.


Author(s):  
Lars Harder ◽  
Thomas Lundholm ◽  
Bo Lindström

Abstract The future capital intensive manufacturing industry will demand efficient utilization of machine tools. Thus, a modular real-time adaptive control (AC) system for turning is being developed. Different real-time monitoring and control tasks are assigned to integral subsystems respectively, organized in a distributed computer system and supervised by a master computer in accordance with a main AC strategy. The subsystem for quasi-static cutting force control adapts the feedrate to the present machining situation in order to keep the tangential cutting force constant at a maximum level, given by the machine tool and the tool constraints. Since the cutting process is nonlinear and time-varying, it is difficult to control Therefore, a linearized process model has been introduced and a constant-gain, incremental Pi-controller has been designed and tested with good results. In this paper we will present the AC turning system, focusing on the subsystem for quasi-static cutting force control.


2016 ◽  
Vol 62 ◽  
pp. 114-123 ◽  
Author(s):  
Donghai Liu ◽  
Min Lin ◽  
Shuai Li

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