Systematic construction and control of stereo nerve vision network in intelligent manufacturing

2017 ◽  
Author(s):  
Hua Liu ◽  
Helong Wang ◽  
Chunjie Guo ◽  
Quanxin Ding ◽  
Liwei Zhou
Keyword(s):  
Intelligent Manufacturing ◽  
Systematic Construction ◽  
And Control

scholarly journals Energy Modeling and Power Measurement for Three-Wheeled Omnidirectional Mobile Robots for Path Planning

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 843 ◽  
Author(s):  
Linfei Hou ◽  
Liang Zhang ◽  
Jongwon Kim
Keyword(s):  
Path Planning ◽  
Power Consumption ◽  
Mobile Robots ◽  
High Mobility ◽  
Intelligent Manufacturing ◽  
Power Measurement ◽  
Research Focus ◽  
Planning And Control ◽  
Perfect Symmetry ◽  
And Control

Due to their high mobility, mobile robots (MR) are widely used in intelligent manufacturing. Due to the perfect symmetry of the MR of the three-wheeled moving chassis, it can move quickly in a crowded and complex factory environment. Because it is powered by a lithium battery, in order to improve its energy efficiency, we need to ensure that its power consumption is reduced as much as possible in order to avoid frequent battery replacement. The power consumption of MRs has also become an important research focus for researchers. Therefore, a power consumption modeling of the omnidirectional mobility of the three-wheeled omnidirectional mobile robot (TOMR) is proposed in this paper. When TOMR advances heading at different angles, the speed of each wheel changes dramatically. So, the power consumption of robots will also be greatly changed. In this paper, the energy and power consumption of the robot heading in different directions is analyzed and modeled by formulas. This research can be valuable for path planning and control design.

An Integrated Hardware and Software Platform for Control of Automatic Ground Vehicles

2020 ◽  
Author(s):  
Jian Chu ◽  
Soovadeep Bakshi ◽  
Hansen Qin ◽  
Zeyu Yan ◽  
Dongmei Chen
Keyword(s):  
System Development ◽  
Three Dimensional ◽  
Intelligent Manufacturing ◽  
Ground Vehicles ◽  
Ground Vehicle ◽  
Industrial Setting ◽  
Automated Warehouses ◽  
Logistics Management System ◽  
And Control ◽  
Agv Systems

Abstract With the development of factory automation, intelligent manufacturing system technology, and three-dimensional automated warehouses, an automatic ground vehicle (AGV) became an essential part of controlling the discrete logistics management system within a facility. The scope of the AGV application and technical capability have been rapidly developed in recent years. However, it is highly time-consuming and resource-intensive to develop a comprehensive AGV platform in both industrial setting and academic environment to design and control of an AGV system. This paper introduces a platform for conducting AGV research and deployment, which consists of the hardware prototyping and entire software system development. By using this platform, users can readily develop customized AGV systems or verify their self-developed algorithms.

scholarly journals Modeling and Simulation of Processes in a Factory of the Future

2020 ◽  
Vol 10 (13) ◽  
pp. 4503 ◽  
Author(s):  
Patrik Grznár ◽  
Milan Gregor ◽  
Martin Krajčovič ◽  
Štefan Mozol ◽  
Marek Schickerle ◽  
...  
Keyword(s):  
Intelligent Manufacturing ◽  
Modelling And Simulation ◽  
Planning And Control ◽  
Current Trends ◽  
The Future ◽  
Factory Of The Future ◽  
The Individual ◽  
And Control ◽  
Behavioural Management ◽  
Factories Of The Future

Current trends in manufacturing, which are based on customisation and gradually customised production, are becoming the main initiator for the development of new manufacturing approaches. New manufacturing approaches are counted as the application of new behavioural management patterns that calculate the retained competencies of decision-making by the individual members of the system agent; the production becomes decentralised. The interaction of the members of such a system creates emergent behaviour, where the result cannot be accurately determined by ordinary methods and simulation must be applied. Modelling and simulation will, therefore, be an integral part of the planning and control of the processes of factories of the future. The purpose of the article is to describe the use of modelling and simulation processes in factories of the future. The first part of the article describes new manufacturing concepts that will be used in factories of the future, with a description of modelling and simulation routing in the frame of Industry 4.0. The next section describes how simulation is used for the control of manufacturing processes in factories of the future. The included subsection describes the implementation of this suggested pattern in the laboratory of ZIMS (Zilina Intelligent Manufacturing System), with an example of a metamodeling application and the results obtained.

On the Possibilities of Intelligence Implementation in Manufacturing: The Role of Simulation

2013 ◽  
Vol 309 ◽  
pp. 96-104 ◽  
Author(s):  
Daynier Rolando Delgado Sobrino ◽  
Peter Košťál ◽  
Dagmar Cagáňová ◽  
Milos Čambál
Keyword(s):  
Material Flow ◽  
New Technologies ◽  
Intelligent Manufacturing ◽  
Special Focus ◽  
Simulation Tools ◽  
Key Points ◽  
Alternative Material ◽  
System Cell ◽  
Flow Configurations ◽  
And Control

Over the years, the world of manufacturing has witnessed significant work in the area of Intelligent Manufacturing. Special efforts have been made in the implementation of new technologies, management and control systems, among many others which have all evolved the field. Closely following all this and due to the scope of new projects and the need of turning the existing flexible ideas into more autonomous and intelligent ones, i.e.: Intelligent Manufacturing, the present paper emerges with the main aim of contributing under a this new intelligent denomination to the design and analysis of the material flow in either systems, cells or workstations. For this, besides offering a conceptual basis in some of the key points to be taken into account and some general principles to consider in the design and analysis of the material flow, also some tips on how to define other possible alternative material flow scenarios and a classification of the states a system, cell or workstation are offered as well. All this is done with the intentions of relating it with the use of simulation tools, for which these have been briefly addressed with a special focus on the Witness simulation package. For a better comprehension, the previous elements are supported by a detailed layout, other figures and a few expressions which could help obtaining necessary data. Such data and others will be used in the future, when simulating the scenarios in the search of the best material flow configurations.

Knowledge-Based System

2010 ◽  
pp. 13-46
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Manufacturing Systems ◽  
Production Control ◽  
Research Area ◽  
Intelligent Manufacturing ◽  
Knowledge Use ◽  
Planning And Scheduling ◽  
Depth Of Knowledge ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
And Control

Knowledge-Based System (KBS), a branch research area of AI, has been widely used in interpretation, prediction, diagnosis, debugging, design, planning, monitoring, repair, instruction, and control (Stefik et al., 1982) since it emerged in 1960s. KBS has been recognized as a promising paradigm for the next generation manufacturing systems and there is no doubt that the use of KBS in manufacturing will continue to expand, both in areas of application as well as in depth of knowledge. As a result, factories will benefit a lot, such as improved productivity, more stable and increased yields and increased asset utilization, all leading to improved factory performance. Now KBS are finding an increasing number of applications in almost each stage of intelligent manufacturing, including design, process planning and scheduling, production control, diagnosis and etc. Followed by a case study, the overview over all these applications will be discussed in this chapter after the key technologies of KBS are presented, including knowledge representation, knowledge use, knowledge acquisition and evaluation of KBS.

Analysis and Control of Intelligent Manufacturing Aerospace parts based on Zero-point Quick-Change Technology

2021 ◽  
Author(s):  
TianMing Wang ◽  
Bin Zhang ◽  
Lin Li ◽  
Rong Zhang ◽  
Di Wu ◽  
...  
Keyword(s):  
Zero Point ◽  
Intelligent Manufacturing ◽  
And Control

Distributed Management, Monitoring and Control of Manufacturing Shop Floors

2003 ◽  
Author(s):  
Weiming Shen ◽  
Lihui Wang ◽  
Sherman Lang ◽  
Brian Wong ◽  
Qi Hao
Keyword(s):  
Intelligent Manufacturing ◽  
Distributed Artificial Intelligence ◽  
Shop Floor ◽  
Monitoring And Control ◽  
Web Based ◽  
Distributed Management ◽  
Collaborative Environment ◽  
Manufacturing Process Planning ◽  
New Concepts ◽  
And Control

This paper presents some results of our research on distributed management, monitoring and control of manufacturing shop floors using the Internet, Web and agent technologies. Two new concepts are proposed and developed: iShopFloor on the application of Distributed Artificial Intelligence to the shop floor for distributed intelligent manufacturing process planning, scheduling, sensing and control; eShopFloor on the development of a Web based collaborative environment for remote monitoring, control, diagnostics and maintenance of manufacturing devices (e.g., machines, robots) in the shop floor. Prototype implementation details are presented and key implementation issues are discussed.

Toward Intelligent Manufacturing Workshop Modeling and Validation of a Resource-Driven Mechanism-Based Info-Interconnect Model

2019 ◽  
Vol 19 (4) ◽  
Author(s):  
Kai Yu Song ◽  
Min Wang ◽  
Li Ming Liu ◽  
Ge Long Zhu ◽  
Yun Feng Zhang
Keyword(s):  
Business Processes ◽  
Dynamic Scheduling ◽  
Intelligent Manufacturing ◽  
Directed Acyclic Graphs ◽  
Data Consistency ◽  
Business Logic ◽  
Manufacturing Enterprises ◽  
Product Manufacturing ◽  
And Control ◽  
Different Levels

The interconnection and interworking, a process of data interaction among different levels in manufacturing enterprises, are the core of realizing intelligent manufacturing. This paper focuses on the modeling of the interconnection-related information in product manufacturing and develops an info-interconnect model (IIM) in product manufacturing based on a widespread research of various informational aspects in the business logic of the digital workshop of manufacturing enterprises. The developed IIM, which describes the product data structure and the organizational logic of the production process, follows a layered modeling methodology in which IIM is subdivided into layers with the main purpose to separate entities, rules, workflow, and application into different levels. Then, based on resource-driven mechanism, business processes are modeled by directed acyclic graphs (i.e., PR-AOV network and PR-AOE network), incidence matrix of resources, and set of resources availability in order to improve the management and control of workflow, and to provide basis for dynamic scheduling of workshop. Finally, workshop layer application and control layer application have been incorporated to validate the usability and applicability of the developed IIM. This new info-interconnect model paves the way for the assurance of data consistency, the development of fully integrated manufacturing workflow, and the rapid deployment of efficient business logic in a manufacturing workshop.

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