On-Line Reconfigurable Machines

AI Magazine ◽  
2013 ◽  
Vol 34 (3) ◽  
Author(s):  
Lara S. Crawford
Keyword(s):  
Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Planning And Scheduling ◽  
Model Based ◽  
Planning And Control ◽  
Resource Reasoning ◽  
On Line ◽  
Scheduling Heuristic ◽  
High Level ◽  
And Control

A recent trend in intelligent machines and manufacturing has been toward reconfigurable manufacturing systems, which move away from the idea of a fixed factory line executing an unchanging set of operations, and toward the goal of an adaptable factory structure. The logical next challenge in this area is that of on-line reconfigurability. With this capability, machines can reconfigure while running, enable or disable capabilities in real time, and respond quickly to changes in the system or the environment (including faults). We propose an approach to achieving on-line reconfigurability based on a high level of system modularity supported by integrated, model-based planning and control software. Our software capitalizes on many advanced techniques from the artificial intelligence research community, particularly in model-based domain-independent planning and scheduling, heuristic search, and temporal resource reasoning. We describe the implementation of this design in a prototype highly modular, parallel printing system.

On-Line Reconfigurable Machines

AI Magazine ◽  
2013 ◽  
Vol 34 (3) ◽  
pp. 73-88 ◽  
Author(s):  
Lara S. Crawford ◽  
Minh Binh Do ◽  
Wheeler S. Ruml ◽  
Haitham Hindi ◽  
Craig Eldershaw ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Planning And Scheduling ◽  
Model Based ◽  
Planning And Control ◽  
Resource Reasoning ◽  
On Line ◽  
Scheduling Heuristic ◽  
High Level ◽  
And Control

A recent trend in intelligent machines and manufacturing has been toward reconfigurable manufacturing systems, which move away from the idea of a fixed factory line executing an unchanging set of operations, and toward the goal of an adaptable factory structure. The logical next challenge in this area is that of on-line reconfigurability. With this capability, machines can reconfigure while running, enable or disable capabilities in real time, and respond quickly to changes in the system or the environment (including faults). We propose an approach to achieving on-line reconfigurability based on a high level of system modularity supported by integrated, model-based planning and control software. Our software capitalizes on many advanced techniques from the artificial intelligence research community, particularly in model-based domain-independent planning and scheduling, heuristic search, and temporal resource reasoning. We describe the implementation of this design in a prototype highly modular, parallel printing system.

scholarly journals Oversizing Thread Diagnosis in Tapping Operation

Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 537
Author(s):  
Alain Gil Del Val ◽  
Fernando Veiga ◽  
Mariluz Penalva ◽  
Miguel Arizmendi
Keyword(s):  
Control Chart ◽  
Manufacturing Systems ◽  
Spindle Motor ◽  
Multivariate Statistical ◽  
Statistical Process ◽  
Knowing That ◽  
On Line ◽  
High Level ◽  
Screw Threads ◽  
Multivariate Control

Automotive, railway and aerospace sectors require a high level of quality on the thread profiles in their manufacturing systems knowing that the tapping process is a complex manufacturing process and the last operation in a manufacturing cell. Therefore, a multivariate statistical process control chart, for each tap, is presented based on the principal components of the torque signal directly measured from spindle motor drive to diagnosis the thread profile quality. This on-line multivariate control chart has implemented an alarm to avoid defected screw threads (oversized). Therefore, it could work automatically without any operator intervention assessing the thread quality and the safety is guaranteed during the tapping process.

Planning and Control in Construction of LW3-1 Jacket

2013 ◽  
Vol 467 ◽  
pp. 277-281
Author(s):  
Shao Ning Han ◽  
Hong Wang ◽  
Hang Wu ◽  
Pi Song Sun ◽  
Yu Hui Xue ◽  
...  
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Deep Water ◽  
Construction Technology ◽  
Structural Dimension ◽  
Planning And Scheduling ◽  
Comprehensive Management ◽  
Planning And Control ◽  
Traditional Classification ◽  
And Control

According to Chinese traditional classification, large-sized jackets weight over 10,000 tons and stand in over 100-meter water. Large-sized jackets are different from the normal in construction tonnage, structural dimension and quality control requirements as well as construction difficulty. More complicated construction technology and programme, higher grade of materials, stricter control requirements on node weld and higher risks all need matched stricter, more meticulous and more comprehensive management in planning and scheduling. Combined with construction of LW3-1 deep-water jacket, this paper describes the planning, tracking progress, process control and optimization.

Prototyping an autonomous delivery vehicle

2018 ◽  
Vol 66 (2) ◽  
pp. 160-182
Author(s):  
Benjamin C. Heinrich ◽  
Thorsten Luettel ◽  
Dennis Fassbender ◽  
Patrick Burger ◽  
Felix Ebert ◽  
...  
Keyword(s):  
Test Facility ◽  
Sensor Calibration ◽  
Software Components ◽  
Delivery Vehicle ◽  
Planning And Control ◽  
Custom Made ◽  
Position And Orientation ◽  
High Level ◽  
Control Modules ◽  
And Control

AbstractIn this paper, we describe the hardware and software components of a fully autonomous prototype delivery vehicle. Equipped with a robotic arm, the demonstrator is capable of delivering packages and picking up new ones by interacting with custom-made delivery boxes. As highly accurate positioning w. r. t. a box is required for successful handover of packages, we track the pose (position and orientation) of the box using a high-resolution on-board camera. The resulting estimate is relayed to our planning and control modules, which ensure that the vehicle reaches its required pose with centimeter-level accuracy.In order to deliver packages, the car needs to autonomously navigate our test facility, avoiding static and dynamic obstacles while obeying simple traffic rules. As one focus is on the practical challenges encountered when building a prototype, we cover issues ranging from sensor calibration and system identification to perception, planning, control, and the implementation of high-level behaviors. While some of the proposed solutions to these problems are not necessarily novel, they allowed us to demonstrate the vehicle’s capabilities after a development phase of less than 12 months.

A Sensor-Driven Approach to Distributed Shop Floor Planning and Control

2003 ◽  
Author(s):  
Lihui Wang ◽  
Weiming Shen ◽  
Xiaoqian Li ◽  
Sherman Lang
Keyword(s):  
Shop Floor ◽  
Seamless Integration ◽  
Intelligent Sensor ◽  
Planning And Control ◽  
Intelligent Sensors ◽  
System A ◽  
Floor Planning ◽  
High Level ◽  
And Control ◽  
Made In

The objective of this research is to develop methodology and framework for distributed shop floor planning, real-time monitoring, and remote device control supported by intelligent sensors. An intelligent sensor serves runtime data from bottom up to facilitate high-level decision-making. It assures that correct decisions are made in a timely manner, if compared with the best estimations of engineers. Being an adaptive system, a so-designed framework will improve the flexibility and dynamism of shop floor operations, and provide a seamless integration among process planning, resource scheduling, job execution, process monitoring, and device control. This paper presents principles of the methodology, details in architecture design, module interactions, information flow, and a proof-of-concept prototype implementation.

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