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©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved
Towards Realization of
6M Visualization in
Manufacturing Site...
©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved
6M in manufacturing sites
IoT
✔
✔✔
✔
✖
✖
IoT: Internet of Thi...
©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved
Flow line Measurement for Kaizen (Improvement)
Key IoH tech: ...
National Institute of Advanced Industrial Science and Technology
Indoor positioning:
Pros and Cons
4
xDR: PDR
xDR: VDR
Low...
National Institute of Advanced Industrial Science and Technology
xDR weaving various positioning methods
VDR:
(Vibration-b...
National Institute of Advanced Industrial Science and Technology 6
Development Platform for Indoor Positioning Technologies
National Institute of Advanced Industrial Science and Technology
• Low cost: Utilize 10-axis sensor (accelerometers, gyro ...
National Institute of Advanced Industrial Science and Technology
xDR Challenge for Warehouse Operations
• Was held as an s...
©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved9
Indoor positioning system in SEI
National Institute of Advanced Industrial Science and Technology
Motion and Operation Recognition
• Typically, 10 to 20 IM...
©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved
Mieruka, kaizen, and pre-evaluation with
IoH/IoH and social t...
©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved
6M information by intelligent compression of
sensor data, fac...
©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved
Continual vs On-time
Advantages of continual data record
• Ca...
©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved
Conclusion
14
©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved
In-depth survey
(Narrow but deep)
Screening
with 6M data
(Wid...
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Towards Realization of 6M Visualization in Manufacturing Sites

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In this paper, we first survey technologies on indoor positioning and motion recognition which is one of the principal IoH technologies. Next, we illustrate an example of system designs to extract information on 6M consisting of Man, Machine, Material, Method, Mother-nature, and Money by performing intelligent compression of sensor data, facility data, and work records for various modelling, simulation, and mieruka. Finally, we discuss the advantages for introducing measurement technologies.

Presented in IEEE VR 2019 Workshop on Smart Work Technologies (WSWT)
http://seam.pj.aist.go.jp/symposium/WSWT2019/

Published in: Engineering
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Towards Realization of 6M Visualization in Manufacturing Sites

  1. 1. ©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved Towards Realization of 6M Visualization in Manufacturing Sites Takeshi Kurata12 Takashi Maehata1, Hidehiko Hashimoto1, Naohiro Tada1, Ryosuke Ichikari2 1 IoT R&D Center, SEI, Japan 2Human Augmentation Research Center, AIST, Japan
  2. 2. ©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved 6M in manufacturing sites IoT ✔ ✔✔ ✔ ✖ ✖ IoT: Internet of Things IoH: Internet of Humans IoH ✔ ✔ 2
  3. 3. ©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved Flow line Measurement for Kaizen (Improvement) Key IoH tech: Indoor positioning Outdoor: Free of charge • Positioning: GNSS (GPS, Michibiki) • Maps: Google Maps, OSM Workers/Operators’ positions: Strong correlation with operation contents GNSS: Global Navigation Satellite System OSM: OpenStreetMap 3 Indoor: Benefit principle • Positioning: Stationary notes installation needed • Maps: Floor plan creation needed Japanese people: Spend 90% of time indoors Manufacturing sites: Often occupied by indoor environments
  4. 4. National Institute of Advanced Industrial Science and Technology Indoor positioning: Pros and Cons 4 xDR: PDR xDR: VDR Low cost, Weaving positioning methods Integrated positioning • Combining methods suitable for each site • Balancing precision/accuracy and cost Indoorpositioning technologymap Who? ✖ Occlusion ✖ Occlusion High power consumption High cost Low precision
  5. 5. National Institute of Advanced Industrial Science and Technology xDR weaving various positioning methods VDR: (Vibration-based) Vehicle Dead Reckoning [World’s first, 2015] [Relative positioning] xDR: PDR+VDR PDR: Pedestrian Dead Reckoning, [World’s first Smartphone demo, 2010] 5
  6. 6. National Institute of Advanced Industrial Science and Technology 6 Development Platform for Indoor Positioning Technologies
  7. 7. National Institute of Advanced Industrial Science and Technology • Low cost: Utilize 10-axis sensor (accelerometers, gyro sensors, magnetic sensors, and barometer) • Low power consumption: 1/20 or less than vision-based systems • Continuity: Keep tracking without stationary nodes • Meaningful: Weave various positioning methods with meaningful lines (shape, speed, heading) Speed Heading Model-based speed estimation Attitude estimation Sensor calibration Moving direction estimation Elevation (Floorlevel) estimation 7 Model for Pedestrians Model for Vehicles xDR weaving various positioning methods VDR: (Vibration-based) Vehicle Dead Reckoning [World’s first, 2015] PDR: Pedestrian Dead Reckoning, [World’s first Smartphone demo, 2010]
  8. 8. National Institute of Advanced Industrial Science and Technology xDR Challenge for Warehouse Operations • Was held as an sequel competition to "PDR Challenge in Warehouse Picking“ (Hosted by PDR benchmark standardization committee) • Competition of Dead-Reckoning for Pedestrian and Vehicle – xDR=PDR+VDR • Important dates – Testing period: Mid May to Mid Aug., 2018 – Results submission due: 18th Sep, 2018 – Announcement of Winners: In IPIN 2018 • Winners – PDR Track: HBSM from SEI • Runner-Up: No PDR, No Future! from KDDI Research, Inc. – VDR Track: HBSM from SEI • Sponsors: 8
  9. 9. ©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved9 Indoor positioning system in SEI
  10. 10. National Institute of Advanced Industrial Science and Technology Motion and Operation Recognition • Typically, 10 to 20 IMUs attached all over the body • Reduce the number of IMUs (Partial body measurement) ✔Less cumbersome for workers and hardware cost reduction ✖Precision reduction (Around 10 to 20%) • Whole-body: Micro-positional data of each body part based on the skeleton model • Partial-body: Only local movements for the available sensors • IoH sensor module with a wearable passive RFID reader and a 10- axis sensor – Micro-positional data: Obtainable once more 10 10-20 5 2 & Passive RFID reader Num of ten-axis sensors IMU: Inertia Measurement Unit
  11. 11. ©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved Mieruka, kaizen, and pre-evaluation with IoH/IoH and social technologies 11 IE: Industrial Engineering, OR: Operations Research, CSQCC: Comupter Supported Quality Control Circle UI: User Interface, VR: Virtual Reality, MAR: Mixed and Augmented Reality
  12. 12. ©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved 6M information by intelligent compression of sensor data, facility data, and work records 12
  13. 13. ©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved Continual vs On-time Advantages of continual data record • Capable of natural behavior observation • Capable of going back in time such as dashboard cameras • MTT (Make Time Tangible), Virtual time machine • Less time lag from problem identified to cause analysis w/ data 13
  14. 14. ©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved Conclusion 14
  15. 15. ©2017 Sumitomo Electric Industries, Ltd. All Rights Reserved In-depth survey (Narrow but deep) Screening with 6M data (Wide but shallow) 15 Future Works

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