scholarly journals Dynamic safety system for collaboration of operators and industrial robots

2019 ◽  
Vol 9 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Timo Malm ◽  
Timo Salmi ◽  
Ilari Marstio ◽  
Jari Montonen

AbstractThere is an increasing need to have a safety system, which allows safe collaboration of operators and industrial robots. Industrial robots are powerful and therefore dangerous impacts and crashes need to be prevented by keeping safe distance between moving robot and the operator. Safe distance can be achieved by monitoring the position and speed of the robot and the position of the operator. Separation distance, speeds and performance of the control system, sensors and actuators are regulated by standards, which must be followed. VTT has developed a dynamic safety system, which monitors the speed and separation between persons and the robot in order to keep the stopping distance of the robot small enough to avoid impacts. The dynamic safety system enables safe continuous working beside the robot and automated restarting after a safety-rated monitored stop. An assistance system is applied to switch safety modes of the robot according to separation distance. Configuring and validating the safety system are safety-critical and time-consuming phases of design. Therefore, a configuration tool is required to get a coherent configuration, which support validation process.

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Shawn McKown ◽  
Catherine Acquadro ◽  
Caroline Anfray ◽  
Benjamin Arnold ◽  
Sonya Eremenco ◽  
...  

Abstract Within current literature and practice, the category of patient-reported outcome (PRO) measures has been expanded into the broader category of clinical outcome assessments (COAs), which includes the subcategory of PRO, as well as clinician-reported outcome (ClinRO), observer-reported outcome (ObsRO), and performance outcome (PerfO) measure subcategories. However, despite this conceptual expansion, recommendations associated with translation, cultural adaptation, and linguistic validation of COAs remain focused on PRO measures, which has created a gap in specific process recommendations for the remaining types. This lack of recommendations has led to inconsistent approaches being implemented, leading to uncertainty in the scientific community regarding suitable methods. To address this gap, the ISOQOL Translation and Cultural Adaptation Special Interest Group (TCA-SIG) has developed recommendations specific to each of the three COA types currently lacking such documentation to support a standardized approach to their translation, cultural adaptation, and linguistic validation. The recommended process utilized to translate ObsRO, ClinRO and PerfO measures from one language to another aligns closely with the industry standard process for PRO measures. The substantial differences between respondent categories across COA types require targeted approaches to the cognitive interviewing procedures utilized within the linguistic validation process, including the use of patients for patient-facing text in ClinRO measures, and the need to interview the targeted observers for ObsROs measures.


Author(s):  
John V. Sharp ◽  
Edmund G. Terry ◽  
John Wintle

Many offshore installations in the North Sea have now exceeded their original design life and are in a life extension phase. A Framework of six processes has been developed for the management of ageing of Safety Critical Elements (SCEs) in offshore installations. The processes include an analysis of the effect of ageing modes on SCE performance. Examples of performance indicators for typical SCEs are proposed based on how their condition and performance as may be affected by physical deterioration and other effects of ageing. Indicators for calibrating the maturity and effectiveness of the management processes are also suggested.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Nilamadhab Mishra ◽  
Hsien-Tsung Chang ◽  
Chung-Chih Lin

In an indoor safety-critical application, sensors and actuators are clustered together to accomplish critical actions within a limited time constraint. The cluster may be controlled by a dedicated programmed autonomous microcontroller device powered with electricity to perform in-network time critical functions, such as data collection, data processing, and knowledge production. In a data-centric sensor network, approximately 3–60% of the sensor data are faulty, and the data collected from the sensor environment are highly unstructured and ambiguous. Therefore, for safety-critical sensor applications, actuators must function intelligently within a hard time frame and have proper knowledge to perform their logical actions. This paper proposes a knowledge discovery strategy and an exploration algorithm for indoor safety-critical industrial applications. The application evidence and discussion validate that the proposed strategy and algorithm can be implemented for knowledge discovery within the operational framework.


2018 ◽  
Vol 14 (4) ◽  
pp. 155014771774110
Author(s):  
Taikyeong Ted Jeong

The designs of highly scalable intelligent sensory application—Ethernet-based communication architectures—are moving toward the integration of a fault recovery and fault-detection algorithm on the automotive industry. In particular, each port on the same network interface card design is required to provide highly scalable and low-latency communication. In this article, we present a study of intelligent sensory application for the Ethernet-based communication architecture and performance of multi-port configuration which is mainly used in safety-enhanced application such as automotive, military, finance, and aerospace, in other words, safety-critical applications. Our contributions and observations on the highly scalable intelligent behavior: (1) proposed network interface card board design scheme and architecture with multi-port configuration are a stable network configuration; (2) timing matrix is defined for fault detection and recovery time; (3) experimental and related verification methods by cyclic redundancy check between client–server and testing platform provide comparable results to each port configurations; and (4) application program interface–level algorithm is defined to make network interface card ready for fault detection.


Author(s):  
Paul Grefen ◽  
Irene Vanderfeesten ◽  
Georgios Boultadakis

This chapter describes design and development of the HORSE system for process-oriented hybrid manufacturing that seamlessly integrates human and robotics actors in vertical manufacturing cells that are horizontally coupled in end-to-end manufacturing processes. The HORSE system supports advanced dynamic actor allocation to work cells, direct robot control and human actor instruction, closed-loop local event processing, and near-real-time global event processing. The system handles abstract process definitions and status information on the one hand and directly interfaces to industrial sensors and actuators on the other hand, making it a system with a strong cyber-physical character. The physical side of the system is deployed in an internet-of-things context, where the things are the industrial robots controlled by the HORSE system, the sensors feeding data to the system, and the products being manufactured in the industrial process managed by the system. The system will be deployed in real-world, industrial pilot scenarios in a European Horizon 2020 project.


2012 ◽  
Vol 186 ◽  
pp. 188-193 ◽  
Author(s):  
Lucia Koukolová ◽  
Mikuláš Hajduk ◽  
Andrej Belovezcik

The paper presents the structure and performance of the system created by a work team at Department of Production Systems and Robotics at Technical University of Kosice. System MSEVR – „ Modular system for experimentation in virtual reality“ is universal flexible system created for teaching automated and robotic systems by means of new advanced teaching aids, including virtual reality. It has been created as a specialized website and its possibilities are varied. Particular use depends on creativity of a user. Built-in tools enable to use it adequately when teaching construction of industrial robots, to present their kinematic structure or other properties of individual machines. It also enables to work with machine aggregate. In real-life working the system has been tested for optimization of process layout where the full advantages of virtual reality were taken.


Author(s):  
Øyvind Smogeli ◽  
Trond Augustson

The drilling industry is characterized by a rapid and up front technology development to conquer larger water and drilling depths. The level of automation has been steadily increasing over several decades, growing from manually operated sledge-hammer technology to space-age computer-based integrated systems. Most of the automation systems on today’s vessels are put into operation without independent testing. This is a paradox considering that a single control system may be more complex than all the mechanical systems onboard. It is also a paradox that the automation systems often contain safety-critical failure handling functionality that may be difficult or dangerous to test onboard the real vessel, and therefore is not properly tested until it is activated during an emergency situation. These automation systems are essential for the safety, reliability, and performance of the vessels. Examples are the Dynamic Positioning (DP) systems, Power Management systems, Drilling Control Systems, BOP control systems, Managed Pressure Drilling (MPD) systems, and crane control systems. Hardware-In-the-Loop (HIL) testing is a well proven test methodology from automotive, avionics, and space industries, and is now also gaining recognition in the marine and offshore industries. The aim of this paper is to clarify what HIL testing is, how third party HIL testing can be applied to safety critical control system software on drilling ships and rigs, and why this is an important contribution to technical safety, reliability and profitability of offshore operations.


Cyber Physical Systems (CPS) are predestined for use in Industry 4.0 applications. However, the interaction between the virtual and physical world also creates risks that is essential to be controlled. In highly automated industrial systems, for example, robots are used in confined spaces together with working humans. The risk posed by such systems endangers, among others, the people working there. This paper presents an approach to ensure the safety of the situation described above, which makes the workspace of industrial robots safer by implementing a safe workspace detection system. This system comprises several detection sensors implemented in a 2oo3 safety architecture and a Safety System on a Chip (SSoC) based on a safe 1oo2 system architecture. The safety-related redundancy provided by the detection and calculation elements enables a safe position detection of the robotic arm in the 3-dimensional space. The presented system monitors the position of the robotic arm and thus supports the safety of the surrounding objects and the people working there by leading to a safe standstill or to a reduced speed of movement of the robot as soon as the defined and permitted working space is left.


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