Enhancing Safety in Manufacturing Systems by Integrating Diagnostic Information

2008 ◽  
Author(s):  
Kyle Schroeder ◽  
Aftab A. Khan ◽  
James Moyne ◽  
Dawn Tilbury
Keyword(s):  
Manufacturing Systems ◽  
Diagnostic System ◽  
Process Variable ◽  
Safety System ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
System A ◽  
The Individual ◽  
Diagnostics System

Integrating traditionally separate industrial control systems can derive factory-wide benefits by leveraging more information about the ongoing process. This paper shows that connecting a networked safety system and a process control system leads to an extension of the individual benefits provided by each system. A safety system gains the ability to protect not only the machines and workers but also the product that is being built. A diagnostic system can also raise safety alarms when a process variable is outside the expected range of safe operation. This connection is explored to determine the practical impact of different methods of integration on machining and system processes. Three integration methods are possible depending on which portions of the system can be classified as “safe”. A case study integrating a diagnostics system as a non-safe sensor proves that this connection, when it is implemented on an industrial testbed, provides all of the benefits described and does not require significant changes to control software.

Building a Cybersecurity Culture in the Industrial Control System Environment

2019 ◽  
Vol 8 (1) ◽  
pp. 39-44
Author(s):  
Claudia ARAUJO MACEDO ◽  
Jos MENTING
Keyword(s):  
Control System ◽  
Control Systems ◽  
Cyber Attacks ◽  
Cyber Attack ◽  
Industrial Control System ◽  
Security Measures ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
System A ◽  
Educational Processes

Cybersecurity in industrial control system environments has become a significant concern and is even more relevant in the context of critical infrastructures where control system disruption could have a profound impact on health, safety and the environment. This makes this type of system a major target for malicious activities. Notwithstanding an organization’s interest in protecting its industrial control systems against cyber-attacks, the implementation of security measures, whether technical, organizational or human, still faces resistance and is often seen as a constraint. Using the best technology to protect industrial control systems makes no sense if persons with access do not act attentively and protectively. Technical and human cybersecurity measures are intrinsically linked, and it is essential that all persons with access to these systems are fully aware of the inherent cyber risks. Organizations must also act so that staff receive appropriate training on how to keep systems continuously protected against cyber-attack when carrying out their daily tasks. These educational processes can contribute to building an effective cybersecurity culture fully reflective of management and staff attitudes, so that the availability, integrity and confidentiality of information in industrial control systems can be assured.

Integration of GPS and Accelerometer Uncertainties to Improve the Estimation of the Pose of Autonomous Vehicles

2010 ◽  
Author(s):  
Wilson O. Achicanoy M. ◽  
Carlos F. Rodriguez H.
Keyword(s):  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Sampling Rate ◽  
System A ◽  
Accelerometer Signal ◽  
Gps Measurement ◽  
Global Positioning ◽  
The Individual ◽  
Uncertainty Models

Uncertainty fusion techniques based on Kalman filtering are commonly used to provide a better estimation of the state of a system. A comparison between three different methods to combine the sensor information in order to improve the estimation of the pose of an autonomous vehicle is presented. Two sensors and their uncertainty models are used to measure the observables states of a process: a Global Positioning System (GPS) and an accelerometer. Given that GPS has low sampling rate and the uncertainty of the position, calculated by double integration from the accelerometer signal, increases with time, first a resetting of the estimator based on accelerometer by the GPS measurement is done. Next, a second method makes the fusion of both sensor uncertainties to calculate the estimation. Finally, a double estimation is done, one for each sensor, and a estimated state is calculated joining the individual estimations. These methods are explained by a case study of a guided bomb.

Design Strategy

2020 ◽  
pp. 86-131
Author(s):  
Laura R. Oswald
Keyword(s):  
Design Strategy ◽  
Fine Art ◽  
Functional Aspect ◽  
Sense Experience ◽  
Semiotic System ◽  
Commercial Practice ◽  
System A ◽  
Functional Forms ◽  
The Individual

Design is a semiotic system, a technology, and a commercial practice that shapes to a great extent the ways consumers sense, experience, and understand objects, events, spaces, and processes in the marketplace. Some writers have used the term “semiotic engineering” to describe the design process because it involves the deliberate actions of molding and organizing phenomena to influence human behavior. Although design performs an esthetic function to create beautiful, pleasing things and environments, it differs from fine art in several ways. Fine art is valued for its unique, one-of-a-kind creativity, its ability to transcend the mundane, functional aspect of things, and the force of its impact on the hearts and imaginations of the individual spectator. Design, on the other hand, weaves the esthetic priorities of art into functional forms that help consumers build stuff, organize processes, and navigate the world of things and information. This chapter walks the reader through basic semiotic principles and methods for developing design strategy and planning for service sites and packaging. Laura Santamaria contributes a case study on design semiotics for innovation.

Fuzzy coordination through measure information sharing of multi-robot system: A case study

2021 ◽  
pp. 1-8
Author(s):  
Xuefeng Dai ◽  
Jiazhi Wang ◽  
Dahui Li ◽  
Yanchun Wang
Keyword(s):  
Robot System ◽  
Fuzzy Membership Functions ◽  
System A ◽  
Parameter Update Law ◽  
Robot Systems ◽  
Potential Applications ◽  
The Individual ◽  
Logic Reasoning ◽  
Multi Robot

Multi-robot systems have many potential applications; however, the available results for coordination were based on qualitative information. Fuzzy logic reasoning has a feature of human being thinking, so a novel coordinated algorithm is proposed. The algorithm utilizes sharing sensing information of rooms and semantic robots to coordinating robots in a structured environment exploration. The approach divides all teammate robots into two classes according to robot exploration performance, and divides rooms into large, medium and small ones according to estimations of the individual areas. On the purpose of minimizing exploration time of the system, the reasoning coordination assigns large room to good performance robot, and vice versa. A parameter update law is introduced for fuzzy membership functions. Finally, the results are validated by computer simulations for a structured environment.

Digital Twin of manufacturing systems: a case study on increasing the efficiency of reconfiguration

2020 ◽  
Vol 68 (6) ◽  
pp. 435-444 ◽  
Author(s):  
Behrang Ashtari Talkhestani ◽  
Michael Weyrich
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Added Value ◽  
Future Research ◽  
System Availability ◽  
Qualitative And Quantitative ◽  
Digital Twin ◽  
System A ◽  
Set Up

AbstractThe added value of a Digital Twin for reconfiguring manufacturing systems promises an increase in system availability, a reduction in set-up and conversion times and enables the manufacturing of customer-specific products. To evaluate this claim, this paper selects an architecture of the Digital Twin and realizes it on the basis of an application scenario for a cyber-physical manufacturing system. A case study is used to test the reconfiguration of a manufacturing system by comparing two different methods, one without and one with use of the Digital Twin. In this paper, the process steps of both reconfigurations are described and discussed in detail and a qualitative and quantitative evaluation of the reconfiguration results is presented. Finally, this paper gives an outlook on future research on intelligent automation of manufacturing systems using the Digital Twin.

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