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Industry 4.0 in Agriculture

John Deere India Pvt, Ltd.-Vishal Eknath Kirve
  • Technical Paper
  • 2019-28-2442
To be published on 2019-11-21 by SAE International in United States
In recent times, there has been an enormous shift towards automation in Auto as well as Agriculture Industry. Farming is playing an important role in the survival of world. Currently, agricultural industry is facing several challenges. These challenges can be reduced or removed by using automation in the agricultural tools and techniques. Industry 4.0 is the industrial fourth revolution which focused on automations in manufacturing technologies such as cyber physical systems, Internet of Things, artificial intelligence and cloud and cognitive computing. The development and improvement of the connectivity between agricultural tools is leading to significant progress in the agricultural practices. Advancement and automation of the technologies with Internet of Things (IoT), replacing traditional agricultural methodologies which causes wide range of improvements in the fields. The main purpose of this paper is focused on the review of basic concept of Industry 4.0, the number of new tools and techniques used by smart agriculture for the improvement in the fields and the list of benefits of smart agricultural solutions. Smart Agriculture is using advanced technologies such as…
 

Digital Twins for Prognostic Profiling

Altair Engineering India Pvt Ltd-Painuri Thukaram
Altair Engineering India Pvt , Ltd.-Sreeram Mohan
  • Technical Paper
  • 2019-28-2456
To be published on 2019-11-21 by SAE International in United States
Digital Twins for Prognostic Profiling Authors: Sreeram Mohan*, Painuri Thukaram**, Panduranga Rao*** Objective / Question: Ability to have least failures in products on the field with minimum effort from the manufacturers is a major area of focus driven by Industry 4.0 initiatives. Amidst traditional methods of performing system / subsystem level tests often does not enable the complete coverage of a machine health performance predictions. This paper highlights a workable workflow that could be used as a template while considering system design especially employing Digital Twins that help in mimicking real-life scenarios early in the design cycle to increase product’s reliability as well as tend to near zero defects. Methodology: With currently available disruptive technologies , systems are integrated multi-domain 'mechatronics' systems operating in closed-loop/close-interaction. This poses great challenges to system health monitoring as failure of any component can trigger catastrophic system failures. It may be the reason that component failures, as per some aerospace reports, are found to be major contributing factors to aircraft loss-of-control. Essentially, it is either too expensive or impossible to…
 

HANDLING EXCEPTIONAL SITUATION OF AN AUTONOMOUS VEHICLE

General Motors Technical Center India-Balasab Kardegouda
  • Technical Paper
  • 2019-28-2526
To be published on 2019-11-21 by SAE International in United States
In autonomous vehicle world human safety takes highest priority. And most researchers agree that machines won't be able to completely take over driving duties for years or even decades. "Today's autonomous vehicles can drive relatively well in typical settings, but they fail in exceptional situations - and it's those situations that are the most dangerous," said Walter Lasecki, an assistant professor of computer science and engineering. "Designing autonomous systems that can handle those exceptional situations could take decades, and in the meantime, we're going to need something to fill the gap. Few companies have introduced human safety drivers in autonomous vehicles which has cost advantage compared to traditional ride sharing services. Combining human and artificial intelligence in autonomous vehicles could push driverless cars more quickly toward wide - scale adoption. The aim of this paper is to showcase serial data architecture of high speed data transfer of critical predicted vehicle data of an exceptional situations, both onboard and offboard. This data shall be used for instantaneous analysis and decision making during exceptional situations. According to…
 

Design Approach for Secure Networks to introduce Data Analytics within the Aircraft Cabin

Hamburg University of Technology-Hartmut Hintze, Fabian Giertzsch, Ralf God
  • Technical Paper
  • 2019-01-1853
To be published on 2019-09-16 by SAE International in United States
In the past, aircraft network design did not demand for information security considerations. The aircraft systems were simple, obscure, proprietary and, most importantly for security, the systems have been either physically isolated or they have been connected by directed communication links. The union of the aircraft systems thus formed a federated network. These properties are in sharp contrast with today’s system designs, which rest upon platform-based solutions with shared resources being interconnected by a massively meshed and shared communication network. The resulting connectivity and the high number of interfaces require an in-depth security analysis as the systems also provide functions that are required for the safe operation of the aircraft. This network design evolution, however, resulted in an iterative and continuous adaption of existing network solutions as these have not been developed from scratch. Now, with the upcoming trend of data analytics and artificial intelligence applications, which demand for an extensive availability of data, holistic aircraft cabin networks are necessary to satisfy the associated requirements. For the development of such networks this paper proposes a…
 

Intelligent Real Time Inspection of Rivet Quality Supported by Human-Robot-Collaboration

PIKON Deutschland AG-Benjamin Duppe, Albert Schulz
ZeMA GmbH-Rainer Mueller, Matthias Vette, Tobias Masiak
  • Technical Paper
  • 2019-01-1886
To be published on 2019-09-16 by SAE International in United States
Aircraft production is facing various technical challenges, such as large product dimensions, complex joining processes and the organization of assembly tasks. Meeting the requirements that come with large dimensions, low tolerances and small batch sizes, in combination with complex joining processes, automation and labour-intensive inspection task, is often difficult to achieve in an economically viable way. ZeMA believes that a semi-automated approach is the most effective for optimizing aircraft section assembly. An effective optimization of aircraft production can be achieved with a semi-automated riveting process for solid rivets using Human-Robot-Collaboration in combination with an intuitive Human-Machine-Interaction operating concept. While using dynamic task sharing between human and robot based on their skills, and considering ergonomics, the determined ideal solution involves placing a robot inside the section barrel. The robot’s workspace is expanded by mounting it on top of a lifting unit so that it can properly position the anvil. In the meantime, the human performs the more complex tasks of inserting the solid rivets and operating the riveting hammer from the outside of the section barrel.…
 
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EDITORIAL: AI, ADAS & AVs-oh my!

SAE Truck & Off-Highway Engineering: August 2019

Editor-in-Chief-Ryan Gehm
  • Magazine Article
  • 19TOFHP08_06
Published 2019-08-01 by SAE International in United States

Active safety and advanced driver-assistance systems (ADAS), along with increasingly sophisticated artificial intelligence (AI) platforms-are the building blocks essential to climbing the SAE levels of automation. Acquisitions, partnerships and advanced-technology demonstrations in these areas are occurring at a dizzying rate, as the industry has set its sights on Level 4 (L4) automated vehicles (AVs).

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Trucks with INTUITION

SAE Truck & Off-Highway Engineering: August 2019

Sebastian Blanco
  • Magazine Article
  • 19TOFHP08_04
Published 2019-08-01 by SAE International in United States

Perceptive Automata partners with Volvo Trucks to demonstrate AI technology that can determine when pedestrians will cross the road.

The automotive and commercial vehicle industries are working on answers to a tremendous number of questions no one bothered to ask before. Volvo, for example, wants to know if vehicles can have human intuition.

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Sensor-Packed Glove Could Aid Prosthetic Design

  • Magazine Article
  • TBMG-34811
Published 2019-07-01 by Tech Briefs Media Group in United States

Researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone. Signals are collected by a user wearing a sensor-packed glove while handling a variety of objects. The information could be leveraged to help robots identify and manipulate objects and may aid in prosthetics design.

 

AI Spots Lung Cancer Before Radiologists

  • Magazine Article
  • TBMG-34813
Published 2019-07-01 by Tech Briefs Media Group in United States

Deep learning — a form of artificial intelligence — was able to detect malignant lung nodules on low-dose chest computed tomography (LDCT) scans with a performance meeting or exceeding that of expert radiologists.

 

Complexity of Autonomous-Systems Simulation, Validation Soars to the Clouds

Autonomous Vehicle Engineering: July 2019

Terry Costlow
  • Magazine Article
  • 19AVEP07_03
Published 2019-07-01 by SAE International in United States

Scalable, cloud-based architectures are gaining greater acceptance for simulating and testing the myriad development aspects of automated driving.

As the auto industry strives to improve safety and edge towards high-level automated driving, the complexity of proving that electronic vehicle controls will perform safely is skyrocketing. Simulation's expanding role in systems validation is prompting many tool providers to move to scalable, cloud-based architectures that run operations in parallel to shorten analysis times.

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