Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Vladimir Kuts , Gianfranco E. Modoni , Walter Terkaj , Toivo Tähemaa , Marco Sacco , Tauno Otto

ABSTRACT

Significant efforts of the current manufacturing companies are devoted to the implementation of the full synchronization between the real world at the shop-floor level and its digital counterpart (so-called Digital Twin). Indeed, a true reflection of the real factory can be exploited to monitor and simulate the factory performance, allowing to adjust and optimize processes, anticipate failures and also investigate problems. One of the major challenge to be tackled in order to realize the Digital Twin is the handling of the factory telemetry, which can track the evolution of the objects in the real world. This paper investigates the potential of an application for supporting and handling the factory telemetry, thus allowing to create a snapshot of the real system that can dynamically augment and enhance the data-driven simulation applications supporting the manufacturing execution phase. As a proof of concept of the architecture, a prototype has been developed in the field of robotics. In such context, the proposed architecture is on the basis of a Virtual Reality tool to simulate human presence for development of safety systems in robotic cells. More... »

PAGES

212-221

Book

TITLE

Augmented Reality, Virtual Reality, and Computer Graphics

ISBN

978-3-319-60921-8
978-3-319-60922-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-60922-5_16

DOI

http://dx.doi.org/10.1007/978-3-319-60922-5_16

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085929480


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tallinn University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6988.f", 
          "name": [
            "Tallinn University of Technology"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuts", 
        "givenName": "Vladimir", 
        "id": "sg:person.07431735534.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07431735534.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Council", 
          "id": "https://www.grid.ac/institutes/grid.5326.2", 
          "name": [
            "National Research Council"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Modoni", 
        "givenName": "Gianfranco E.", 
        "id": "sg:person.013621450425.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013621450425.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Council", 
          "id": "https://www.grid.ac/institutes/grid.5326.2", 
          "name": [
            "National Research Council"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Terkaj", 
        "givenName": "Walter", 
        "id": "sg:person.013300362323.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013300362323.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tallinn University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6988.f", 
          "name": [
            "Tallinn University of Technology"
          ], 
          "type": "Organization"
        }, 
        "familyName": "T\u00e4hemaa", 
        "givenName": "Toivo", 
        "id": "sg:person.011533570415.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011533570415.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Council", 
          "id": "https://www.grid.ac/institutes/grid.5326.2", 
          "name": [
            "National Research Council"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sacco", 
        "givenName": "Marco", 
        "id": "sg:person.015435525532.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015435525532.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tallinn University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6988.f", 
          "name": [
            "Tallinn University of Technology"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Otto", 
        "givenName": "Tauno", 
        "id": "sg:person.07733477735.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07733477735.22"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-319-13969-2_18", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004423188", 
          "https://doi.org/10.1007/978-3-319-13969-2_18"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cirp.2015.04.121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008226675"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1016250165", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1016250165", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procir.2016.11.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017922306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-38756-7_4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021947124", 
          "https://doi.org/10.1007/978-3-319-38756-7_4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ifacol.2016.11.115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025669360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rcim.2015.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040561148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rcim.2015.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040561148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cirp.2010.03.123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040881317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ifacol.2015.06.141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048467366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-54283-6_22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084765395", 
          "https://doi.org/10.1007/978-3-319-54283-6_22"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017", 
    "datePublishedReg": "2017-01-01", 
    "description": "Significant efforts of the current manufacturing companies are devoted to the implementation of the full synchronization between the real world at the shop-floor level and its digital counterpart (so-called Digital Twin). Indeed, a true reflection of the real factory can be exploited to monitor and simulate the factory performance, allowing to adjust and optimize processes, anticipate failures and also investigate problems. One of the major challenge to be tackled in order to realize the Digital Twin is the handling of the factory telemetry, which can track the evolution of the objects in the real world. This paper investigates the potential of an application for supporting and handling the factory telemetry, thus allowing to create a snapshot of the real system that can dynamically augment and enhance the data-driven simulation applications supporting the manufacturing execution phase. As a proof of concept of the architecture, a prototype has been developed in the field of robotics. In such context, the proposed architecture is on the basis of a Virtual Reality tool to simulate human presence for development of safety systems in robotic cells.", 
    "editor": [
      {
        "familyName": "De Paolis", 
        "givenName": "Lucio Tommaso", 
        "type": "Person"
      }, 
      {
        "familyName": "Bourdot", 
        "givenName": "Patrick", 
        "type": "Person"
      }, 
      {
        "familyName": "Mongelli", 
        "givenName": "Antonio", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-60922-5_16", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-60921-8", 
        "978-3-319-60922-5"
      ], 
      "name": "Augmented Reality, Virtual Reality, and Computer Graphics", 
      "type": "Book"
    }, 
    "name": "Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell", 
    "pagination": "212-221", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-60922-5_16"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e65174109eb6a7d7e1eae85a8b5f63b273a1ee06bcba91744ea161bc09e7471e"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1085929480"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-60922-5_16", 
      "https://app.dimensions.ai/details/publication/pub.1085929480"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T15:03", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8669_00000600.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-60922-5_16"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-60922-5_16'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-60922-5_16'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-60922-5_16'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-60922-5_16'


 

This table displays all metadata directly associated to this object as RDF triples.

145 TRIPLES      23 PREDICATES      37 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-60922-5_16 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nf475385af147424fab3fe1b2aa6e1712
4 schema:citation sg:pub.10.1007/978-3-319-13969-2_18
5 sg:pub.10.1007/978-3-319-38756-7_4
6 sg:pub.10.1007/978-3-319-54283-6_22
7 https://app.dimensions.ai/details/publication/pub.1016250165
8 https://doi.org/10.1016/j.cirp.2010.03.123
9 https://doi.org/10.1016/j.cirp.2015.04.121
10 https://doi.org/10.1016/j.ifacol.2015.06.141
11 https://doi.org/10.1016/j.ifacol.2016.11.115
12 https://doi.org/10.1016/j.procir.2016.11.049
13 https://doi.org/10.1016/j.rcim.2015.12.007
14 schema:datePublished 2017
15 schema:datePublishedReg 2017-01-01
16 schema:description Significant efforts of the current manufacturing companies are devoted to the implementation of the full synchronization between the real world at the shop-floor level and its digital counterpart (so-called Digital Twin). Indeed, a true reflection of the real factory can be exploited to monitor and simulate the factory performance, allowing to adjust and optimize processes, anticipate failures and also investigate problems. One of the major challenge to be tackled in order to realize the Digital Twin is the handling of the factory telemetry, which can track the evolution of the objects in the real world. This paper investigates the potential of an application for supporting and handling the factory telemetry, thus allowing to create a snapshot of the real system that can dynamically augment and enhance the data-driven simulation applications supporting the manufacturing execution phase. As a proof of concept of the architecture, a prototype has been developed in the field of robotics. In such context, the proposed architecture is on the basis of a Virtual Reality tool to simulate human presence for development of safety systems in robotic cells.
17 schema:editor N60687c3f4c5e4aa8871054c9274f7f55
18 schema:genre chapter
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf Nd7465fbbecc54a14a1da0d3d67a58821
22 schema:name Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell
23 schema:pagination 212-221
24 schema:productId N1f5a8c48d18d4becb1c39451c7a9ccd7
25 N37cc4e3387cd42688ec99e079eec4bb3
26 Nf746805d53154ba789d6503f551d2d7e
27 schema:publisher Nfff400d87cd94cf9a3203042e11b7cec
28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085929480
29 https://doi.org/10.1007/978-3-319-60922-5_16
30 schema:sdDatePublished 2019-04-15T15:03
31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
32 schema:sdPublisher Nb7481bb0c20e4c47a5e5422c2a1bba0b
33 schema:url http://link.springer.com/10.1007/978-3-319-60922-5_16
34 sgo:license sg:explorer/license/
35 sgo:sdDataset chapters
36 rdf:type schema:Chapter
37 N1d26e1f82fee49d5abe3f60969a278d6 rdf:first N873ef236060444a58d2d475da89694aa
38 rdf:rest Nfd8bb1acc6944299885fcc403b7e1168
39 N1f5a8c48d18d4becb1c39451c7a9ccd7 schema:name dimensions_id
40 schema:value pub.1085929480
41 rdf:type schema:PropertyValue
42 N37cc4e3387cd42688ec99e079eec4bb3 schema:name readcube_id
43 schema:value e65174109eb6a7d7e1eae85a8b5f63b273a1ee06bcba91744ea161bc09e7471e
44 rdf:type schema:PropertyValue
45 N4d52ddf735624f3a89f9a83cba2469e5 rdf:first sg:person.011533570415.72
46 rdf:rest N724c30a96d11440f8fdf848e7cdd09d8
47 N52f12a74a5874c40939d812c5aefe141 schema:familyName De Paolis
48 schema:givenName Lucio Tommaso
49 rdf:type schema:Person
50 N60687c3f4c5e4aa8871054c9274f7f55 rdf:first N52f12a74a5874c40939d812c5aefe141
51 rdf:rest N1d26e1f82fee49d5abe3f60969a278d6
52 N724c30a96d11440f8fdf848e7cdd09d8 rdf:first sg:person.015435525532.19
53 rdf:rest Nef522293cd77430599e122602ed98601
54 N77b01ec684a04061bd39cd743b700621 rdf:first sg:person.013621450425.61
55 rdf:rest Nca566883d7b645e1bf3942a70fb38900
56 N873ef236060444a58d2d475da89694aa schema:familyName Bourdot
57 schema:givenName Patrick
58 rdf:type schema:Person
59 Na7f51d58e24241b1ad811ccafcc4032e schema:familyName Mongelli
60 schema:givenName Antonio
61 rdf:type schema:Person
62 Nb7481bb0c20e4c47a5e5422c2a1bba0b schema:name Springer Nature - SN SciGraph project
63 rdf:type schema:Organization
64 Nca566883d7b645e1bf3942a70fb38900 rdf:first sg:person.013300362323.94
65 rdf:rest N4d52ddf735624f3a89f9a83cba2469e5
66 Nd7465fbbecc54a14a1da0d3d67a58821 schema:isbn 978-3-319-60921-8
67 978-3-319-60922-5
68 schema:name Augmented Reality, Virtual Reality, and Computer Graphics
69 rdf:type schema:Book
70 Nef522293cd77430599e122602ed98601 rdf:first sg:person.07733477735.22
71 rdf:rest rdf:nil
72 Nf475385af147424fab3fe1b2aa6e1712 rdf:first sg:person.07431735534.98
73 rdf:rest N77b01ec684a04061bd39cd743b700621
74 Nf746805d53154ba789d6503f551d2d7e schema:name doi
75 schema:value 10.1007/978-3-319-60922-5_16
76 rdf:type schema:PropertyValue
77 Nfd8bb1acc6944299885fcc403b7e1168 rdf:first Na7f51d58e24241b1ad811ccafcc4032e
78 rdf:rest rdf:nil
79 Nfff400d87cd94cf9a3203042e11b7cec schema:location Cham
80 schema:name Springer International Publishing
81 rdf:type schema:Organisation
82 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
83 schema:name Information and Computing Sciences
84 rdf:type schema:DefinedTerm
85 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
86 schema:name Artificial Intelligence and Image Processing
87 rdf:type schema:DefinedTerm
88 sg:person.011533570415.72 schema:affiliation https://www.grid.ac/institutes/grid.6988.f
89 schema:familyName Tähemaa
90 schema:givenName Toivo
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011533570415.72
92 rdf:type schema:Person
93 sg:person.013300362323.94 schema:affiliation https://www.grid.ac/institutes/grid.5326.2
94 schema:familyName Terkaj
95 schema:givenName Walter
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013300362323.94
97 rdf:type schema:Person
98 sg:person.013621450425.61 schema:affiliation https://www.grid.ac/institutes/grid.5326.2
99 schema:familyName Modoni
100 schema:givenName Gianfranco E.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013621450425.61
102 rdf:type schema:Person
103 sg:person.015435525532.19 schema:affiliation https://www.grid.ac/institutes/grid.5326.2
104 schema:familyName Sacco
105 schema:givenName Marco
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015435525532.19
107 rdf:type schema:Person
108 sg:person.07431735534.98 schema:affiliation https://www.grid.ac/institutes/grid.6988.f
109 schema:familyName Kuts
110 schema:givenName Vladimir
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07431735534.98
112 rdf:type schema:Person
113 sg:person.07733477735.22 schema:affiliation https://www.grid.ac/institutes/grid.6988.f
114 schema:familyName Otto
115 schema:givenName Tauno
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07733477735.22
117 rdf:type schema:Person
118 sg:pub.10.1007/978-3-319-13969-2_18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004423188
119 https://doi.org/10.1007/978-3-319-13969-2_18
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/978-3-319-38756-7_4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021947124
122 https://doi.org/10.1007/978-3-319-38756-7_4
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/978-3-319-54283-6_22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084765395
125 https://doi.org/10.1007/978-3-319-54283-6_22
126 rdf:type schema:CreativeWork
127 https://app.dimensions.ai/details/publication/pub.1016250165 schema:CreativeWork
128 https://doi.org/10.1016/j.cirp.2010.03.123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040881317
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.cirp.2015.04.121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008226675
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.ifacol.2015.06.141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048467366
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.ifacol.2016.11.115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025669360
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.procir.2016.11.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017922306
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.rcim.2015.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040561148
139 rdf:type schema:CreativeWork
140 https://www.grid.ac/institutes/grid.5326.2 schema:alternateName National Research Council
141 schema:name National Research Council
142 rdf:type schema:Organization
143 https://www.grid.ac/institutes/grid.6988.f schema:alternateName Tallinn University of Technology
144 schema:name Tallinn University of Technology
145 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...