Case Study of Digitization of the Production Cell View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019-10-25

AUTHORS

Michal Holub , Zdenek Tuma , Jiri Kroupa , Jiri Kovar , Petr Blecha

ABSTRACT

This paper focuses on the introduction of digitization in the production process. When deploying Industry-Oriented 4.0 components in the plant, emphasis is placed on HMI and workplace visualization. Designing a suitable way to visualize data obtained from the production process can have a significant impact on the workplace response. Timely and properly conducted responses to potential changes in the production process have a positive impact on the resulting quality of the production process. Continuous development of the elements of virtual and augmented reality also increases their usability in the field of data visualization from the production process. These technologies make it possible to meet the high demands on the clarity of a great deal of information. This paper introduces the creation of a production cell into virtual and augmented reality. Particular emphasis is placed on the way of data visualization, including the environment, geometric accuracy of the CNC machine tool, and information from the safety parts. For efficient information handling, access to their display in virtual and augmented reality has been chosen.The first part of the publication introduces methods for creating a virtual model based on photogrammetry. In the second part of the publication, procedures are presented for collecting and visualizing information on the geometric accuracy of the machine. Finally, procedures related to the risk analysis and functional safety of CNC machine tools are presented. In conclusion, the advantages, disadvantages, and recommendations of the presented solution, the critical places and the difficulty with the realization of the virtual workplace are referred to. More... »

PAGES

253-262

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-31343-2_22

DOI

http://dx.doi.org/10.1007/978-3-030-31343-2_22

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1122089201


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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic", 
          "id": "http://www.grid.ac/institutes/grid.4994.0", 
          "name": [
            "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Holub", 
        "givenName": "Michal", 
        "id": "sg:person.015773330533.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015773330533.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic", 
          "id": "http://www.grid.ac/institutes/grid.4994.0", 
          "name": [
            "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tuma", 
        "givenName": "Zdenek", 
        "id": "sg:person.07406061477.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07406061477.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic", 
          "id": "http://www.grid.ac/institutes/grid.4994.0", 
          "name": [
            "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kroupa", 
        "givenName": "Jiri", 
        "id": "sg:person.011105261133.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011105261133.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic", 
          "id": "http://www.grid.ac/institutes/grid.4994.0", 
          "name": [
            "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kovar", 
        "givenName": "Jiri", 
        "id": "sg:person.07714114147.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07714114147.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic", 
          "id": "http://www.grid.ac/institutes/grid.4994.0", 
          "name": [
            "Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blecha", 
        "givenName": "Petr", 
        "id": "sg:person.011111146173.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011111146173.14"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2019-10-25", 
    "datePublishedReg": "2019-10-25", 
    "description": "This paper focuses on the introduction of digitization in the production process. When deploying Industry-Oriented 4.0 components in the plant, emphasis is placed on HMI and workplace visualization. Designing a suitable way to visualize data obtained from the production process can have a significant impact on the workplace response. Timely and properly conducted responses to potential changes in the production process have a positive impact on the resulting quality of the production process. Continuous development of the elements of virtual and augmented reality also increases their usability in the field of data visualization from the production process. These technologies make it possible to meet the high demands on the clarity of a great deal of information.\nThis paper introduces the creation of a production cell into virtual and augmented reality. Particular emphasis is placed on the way of data visualization, including the environment, geometric accuracy of the CNC machine tool, and information from the safety parts. For efficient information handling, access to their display in virtual and augmented reality has been chosen.The first part of the publication introduces methods for creating a virtual model based on photogrammetry. In the second part of the publication, procedures are presented for collecting and visualizing information on the geometric accuracy of the machine. Finally, procedures related to the risk analysis and functional safety of CNC machine tools are presented. In conclusion, the advantages, disadvantages, and recommendations of the presented solution, the critical places and the difficulty with the realization of the virtual workplace are referred to.", 
    "editor": [
      {
        "familyName": "Durakbasa", 
        "givenName": "Numan M.", 
        "type": "Person"
      }, 
      {
        "familyName": "Gen\u00e7y\u0131lmaz", 
        "givenName": "M. G\u00fcne\u015f", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-030-31343-2_22", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-030-31342-5", 
        "978-3-030-31343-2"
      ], 
      "name": "Proceedings of the International Symposium for Production Research 2019", 
      "type": "Book"
    }, 
    "keywords": [
      "Augmented Reality", 
      "data visualization", 
      "CNC machine tools", 
      "efficient information handling", 
      "introduction of digitization", 
      "production cells", 
      "machine tools", 
      "virtual model", 
      "virtual workplace", 
      "information handling", 
      "geometric accuracy", 
      "functional safety", 
      "continuous development", 
      "visualization", 
      "digitization", 
      "production process", 
      "suitable way", 
      "information", 
      "high demand", 
      "accuracy", 
      "reality", 
      "usability", 
      "case study", 
      "critical places", 
      "HMI", 
      "machine", 
      "tool", 
      "risk analysis", 
      "photogrammetry", 
      "great deal", 
      "technology", 
      "safety parts", 
      "way", 
      "access", 
      "environment", 
      "display", 
      "process", 
      "creation", 
      "advantages", 
      "realization", 
      "handling", 
      "second part", 
      "first part", 
      "demand", 
      "significant impact", 
      "solution", 
      "quality", 
      "part", 
      "industry", 
      "disadvantages", 
      "deal", 
      "model", 
      "data", 
      "method", 
      "difficulties", 
      "publications", 
      "recommendations", 
      "positive impact", 
      "field", 
      "emphasis", 
      "components", 
      "development", 
      "particular emphasis", 
      "procedure", 
      "safety", 
      "elements", 
      "workplace responses", 
      "clarity", 
      "impact", 
      "introduction", 
      "workplace", 
      "analysis", 
      "place", 
      "study", 
      "potential changes", 
      "changes", 
      "plants", 
      "response", 
      "conclusion", 
      "cells", 
      "paper"
    ], 
    "name": "Case Study of Digitization of the Production Cell", 
    "pagination": "253-262", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1122089201"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-030-31343-2_22"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-030-31343-2_22", 
      "https://app.dimensions.ai/details/publication/pub.1122089201"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-20T07:42", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/chapter/chapter_138.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-030-31343-2_22"
  }
]
 

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.10.1007/978-3-030-31343-2_22'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-31343-2_22'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-31343-2_22'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-31343-2_22'


 

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

178 TRIPLES      23 PREDICATES      107 URIs      99 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-030-31343-2_22 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 anzsrc-for:0806
4 schema:author N1e973f0d5b9e4f2eac6f71a561eec85d
5 schema:datePublished 2019-10-25
6 schema:datePublishedReg 2019-10-25
7 schema:description This paper focuses on the introduction of digitization in the production process. When deploying Industry-Oriented 4.0 components in the plant, emphasis is placed on HMI and workplace visualization. Designing a suitable way to visualize data obtained from the production process can have a significant impact on the workplace response. Timely and properly conducted responses to potential changes in the production process have a positive impact on the resulting quality of the production process. Continuous development of the elements of virtual and augmented reality also increases their usability in the field of data visualization from the production process. These technologies make it possible to meet the high demands on the clarity of a great deal of information. This paper introduces the creation of a production cell into virtual and augmented reality. Particular emphasis is placed on the way of data visualization, including the environment, geometric accuracy of the CNC machine tool, and information from the safety parts. For efficient information handling, access to their display in virtual and augmented reality has been chosen.The first part of the publication introduces methods for creating a virtual model based on photogrammetry. In the second part of the publication, procedures are presented for collecting and visualizing information on the geometric accuracy of the machine. Finally, procedures related to the risk analysis and functional safety of CNC machine tools are presented. In conclusion, the advantages, disadvantages, and recommendations of the presented solution, the critical places and the difficulty with the realization of the virtual workplace are referred to.
8 schema:editor N9eff9bc12d384789ad5b2c3602a0ae40
9 schema:genre chapter
10 schema:inLanguage en
11 schema:isAccessibleForFree false
12 schema:isPartOf N36cc05f3e90e48a3b91ac929fb5a0479
13 schema:keywords Augmented Reality
14 CNC machine tools
15 HMI
16 access
17 accuracy
18 advantages
19 analysis
20 case study
21 cells
22 changes
23 clarity
24 components
25 conclusion
26 continuous development
27 creation
28 critical places
29 data
30 data visualization
31 deal
32 demand
33 development
34 difficulties
35 digitization
36 disadvantages
37 display
38 efficient information handling
39 elements
40 emphasis
41 environment
42 field
43 first part
44 functional safety
45 geometric accuracy
46 great deal
47 handling
48 high demand
49 impact
50 industry
51 information
52 information handling
53 introduction
54 introduction of digitization
55 machine
56 machine tools
57 method
58 model
59 paper
60 part
61 particular emphasis
62 photogrammetry
63 place
64 plants
65 positive impact
66 potential changes
67 procedure
68 process
69 production cells
70 production process
71 publications
72 quality
73 reality
74 realization
75 recommendations
76 response
77 risk analysis
78 safety
79 safety parts
80 second part
81 significant impact
82 solution
83 study
84 suitable way
85 technology
86 tool
87 usability
88 virtual model
89 virtual workplace
90 visualization
91 way
92 workplace
93 workplace responses
94 schema:name Case Study of Digitization of the Production Cell
95 schema:pagination 253-262
96 schema:productId N8c7420a2d6ba47b189d3dfc1b7d989a2
97 N912e198132cd4f3e9bb882fab6582b5a
98 schema:publisher Ndb5e5ce8cf09449eacd37f1f98a4cec7
99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1122089201
100 https://doi.org/10.1007/978-3-030-31343-2_22
101 schema:sdDatePublished 2022-05-20T07:42
102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
103 schema:sdPublisher N4876b876ee564b898570cd8b8372e533
104 schema:url https://doi.org/10.1007/978-3-030-31343-2_22
105 sgo:license sg:explorer/license/
106 sgo:sdDataset chapters
107 rdf:type schema:Chapter
108 N1e973f0d5b9e4f2eac6f71a561eec85d rdf:first sg:person.015773330533.40
109 rdf:rest N81e46bfc798f4355be662d06e9a0fc13
110 N282a1e4b959d4ed995e96448fd07e64a rdf:first sg:person.07714114147.53
111 rdf:rest Nb765d1faf9dd4b048b44e709eca7f4a4
112 N36cc05f3e90e48a3b91ac929fb5a0479 schema:isbn 978-3-030-31342-5
113 978-3-030-31343-2
114 schema:name Proceedings of the International Symposium for Production Research 2019
115 rdf:type schema:Book
116 N4876b876ee564b898570cd8b8372e533 schema:name Springer Nature - SN SciGraph project
117 rdf:type schema:Organization
118 N4fe24dc115db461099ace3aa3a9c7e81 rdf:first N5d9a4a69c0ab4f329a99ec94060f6fba
119 rdf:rest rdf:nil
120 N5d9a4a69c0ab4f329a99ec94060f6fba schema:familyName Gençyılmaz
121 schema:givenName M. Güneş
122 rdf:type schema:Person
123 N81e46bfc798f4355be662d06e9a0fc13 rdf:first sg:person.07406061477.19
124 rdf:rest Nad749f6751c647d19ae41ff0a24cb0d8
125 N8c7420a2d6ba47b189d3dfc1b7d989a2 schema:name doi
126 schema:value 10.1007/978-3-030-31343-2_22
127 rdf:type schema:PropertyValue
128 N912e198132cd4f3e9bb882fab6582b5a schema:name dimensions_id
129 schema:value pub.1122089201
130 rdf:type schema:PropertyValue
131 N9eff9bc12d384789ad5b2c3602a0ae40 rdf:first Nd03acc3b79124f018d34a25c3bbb47fc
132 rdf:rest N4fe24dc115db461099ace3aa3a9c7e81
133 Nad749f6751c647d19ae41ff0a24cb0d8 rdf:first sg:person.011105261133.99
134 rdf:rest N282a1e4b959d4ed995e96448fd07e64a
135 Nb765d1faf9dd4b048b44e709eca7f4a4 rdf:first sg:person.011111146173.14
136 rdf:rest rdf:nil
137 Nd03acc3b79124f018d34a25c3bbb47fc schema:familyName Durakbasa
138 schema:givenName Numan M.
139 rdf:type schema:Person
140 Ndb5e5ce8cf09449eacd37f1f98a4cec7 schema:name Springer Nature
141 rdf:type schema:Organisation
142 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
143 schema:name Information and Computing Sciences
144 rdf:type schema:DefinedTerm
145 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
146 schema:name Artificial Intelligence and Image Processing
147 rdf:type schema:DefinedTerm
148 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
149 schema:name Information Systems
150 rdf:type schema:DefinedTerm
151 sg:person.011105261133.99 schema:affiliation grid-institutes:grid.4994.0
152 schema:familyName Kroupa
153 schema:givenName Jiri
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011105261133.99
155 rdf:type schema:Person
156 sg:person.011111146173.14 schema:affiliation grid-institutes:grid.4994.0
157 schema:familyName Blecha
158 schema:givenName Petr
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011111146173.14
160 rdf:type schema:Person
161 sg:person.015773330533.40 schema:affiliation grid-institutes:grid.4994.0
162 schema:familyName Holub
163 schema:givenName Michal
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015773330533.40
165 rdf:type schema:Person
166 sg:person.07406061477.19 schema:affiliation grid-institutes:grid.4994.0
167 schema:familyName Tuma
168 schema:givenName Zdenek
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07406061477.19
170 rdf:type schema:Person
171 sg:person.07714114147.53 schema:affiliation grid-institutes:grid.4994.0
172 schema:familyName Kovar
173 schema:givenName Jiri
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07714114147.53
175 rdf:type schema:Person
176 grid-institutes:grid.4994.0 schema:alternateName Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic
177 schema:name Department of Production Machines, Systems and Robotics, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic
178 rdf:type schema:Organization
 




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


...