3D Scanning as a part of “Virtual Plant Asset Management” – a short trip to industry 4.0

2020 ◽  
pp. 46-48
Author(s):  
Georg W. Strünkmann ◽  
Axel Cornelius
Keyword(s):  
Asset Management ◽  
Industry 4.0 ◽  
3D Scanning ◽  
Engineering Project ◽  
Short Trip ◽  
Virtual Plant ◽  
Time Availability ◽  
Scan Data ◽  
3D Scans ◽  
High Effort

Today 3D Scanning of existing assets is a well-known tool to generate a reliable foundation for an engineering project. With 3D scans exact dimensions and positions of existing equipment, piping, cable trays and others can be measured and the data can be read as interfering edges when modelling new equipment with a 3D tool. However, the data generated during scanning can provide a much more extensive benefit for the operation of a plant, if prepared in an appropriate way. With an intelligent link of the scanned data with the information of Virtual Plant Asset Management, an all-embracing virtual plant can be generated. Within such a virtual plant, the for various purposes required information can be consolidated from different tools for engineering, operation, maintenance, etc. and be displayed instantly and vividly for the operator. As a result this ensures the on-time availability of any information to take decisions everywhere in an existing plant and thus shortens the time for decisions etc. Integrating 3D scan data into a Virtual Plant Asset Management requires only two main steps and the required infrastructure is well known and easily available on the market without high effort.

Industrial Maintenance Entering the Industry 4.0 Era

2021 ◽  
pp. 229-250
Author(s):  
Pedro Fernandes Anunciação ◽  
Vitor Manuel Lemos Dinis ◽  
Francisco Madeira Esteves
Keyword(s):  
Asset Management ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Industrial Revolution ◽  
Response Times ◽  
Production Lines ◽  
Fourth Industrial Revolution ◽  
Industrial Companies ◽  
Management Condition ◽  
Industrial Maintenance

Industry 4.0 marks the beginning of the so-called fourth industrial revolution. The new emerging information technologies, such as internet of things, cloud computing, machine learning, artificial intelligence, among others, have challenged the management and organization of industrial companies. They have now shorter market response times, higher quality requirements, and customization needs, which challenges many industrial areas from production to maintenance, from design to asset management. The maintenance and asset management condition and the reliability of production lines are closely linked and constitute key areas of good industrial operation. This work seeks to present a roadmap proposal for the management of industrial assets from maintenance management. In addition, it seeks to identify the key elements for a roadmap design and proposes a set of management questions to assess maintenance maturity.

scholarly journals AUTOMATION OF FULL-SIZE WHEELCHAIR USER BODY 3D-SCAN DIMENSIONAL SIGNS REGISTRATION

2021 ◽  
Vol XLIV-2/W1-2021 ◽  
pp. 189-193
Author(s):  
K. K. Shcherbina ◽  
E. V. Fogt ◽  
M. A. Golovin ◽  
M. V. Chernikova ◽  
A. D. Kuzicheva
Keyword(s):  
Cervical Vertebra ◽  
3D Scanning ◽  
Anatomical Landmarks ◽  
Wheelchair User ◽  
Wheelchair Users ◽  
Clothing Design ◽  
Technical Issues ◽  
Developing Area ◽  
3D Scans ◽  
Design And Manufacture

Abstract. Distance clothing technology is an actively developing area. For its implementation in the highly specialized area of manufacturing technical means of rehabilitation, and, in particular, in the manufacture of special functional and aesthetic clothing for disabled people, it is necessary to solve organizational and technical issues. An example of a technical issue is remote acquisition of dimensional features. The dimensional characteristics of the human body are an integral part of the technological process of manufacturing individual clothing. The use of 3D scanning makes it possible to implement remote technology for individual design and manufacture of clothing. The production of clothing for wheelchair users involves the adaptation of standard clothing design techniques to the specific properties of the posture. A case of a patient with a C5-C6 cervical vertebra fracture who has been using a wheelchair for more than 25 years is considered. The study used 3D human models obtained with a 3D scanner. The technique of scanning and an example of processing the obtained data are presented. The main features of dimensional features have been determined and an algorithm for their determination by anatomical landmarks has been developed. Recommendations are given for processing 3D scans and combining them into one 3D model. It is shown that the use of 3D scanning for the remote production of a set of functional and aesthetic clothing for a wheelchair user is a way to produce comfortable individual clothing.

scholarly journals Industry 4.0 Contribution to Asset Management in the Electrical Industry

2021 ◽  
Vol 13 (18) ◽  
pp. 10369
Author(s):  
Gabrielle Biard ◽  
Georges Abdul Nour
Keyword(s):  
Big Data ◽  
Asset Management ◽  
Smart Grids ◽  
Industry 4.0 ◽  
Current Model ◽  
Relevant Information ◽  
Point Of View ◽  
Electrical Networks ◽  
Use Of Resources ◽  
Technological Developments

Industry 4.0 has revolutionized paradigms by leading to major technological developments in several sectors, including the energy sector. Aging equipment fleets and changing demand are challenges facing electricity companies. Forced to limit resources, these organizations must question their method and the current model of asset management (AM). The objective of this article is to detail how industry 4.0 can improve the AM of electrical networks from a global point of view. To do so, the industry 4.0 tools will be presented, as well as a review of the literature on their application and benefits in this area. From the literature review conducted, we observe that once properly structured and managed, big data forms the basis for the implementation of advanced tools and technologies in electrical networks. The data generated by smart grids and data compiled for several years in electrical networks have the characteristics of big data. Therefore, it leaves room for a multitude of possibilities for comprehensive analysis and highly relevant information. Several tools and technologies, such as modeling, simulation as well as the use of algorithms and IoT, combined with big data analysis, leads to innovations that serve a common goal. They facilitate the control of reliability-related risks, maximize the performance of assets, and optimize the intervention frequency. Consequently, they minimize the use of resources by helping decision-making processes.

Evolution of Maintenance Processes in Industry 4.0

2021 ◽  
pp. 76-96
Author(s):  
Adithya Thaduri ◽  
Stephen Mayowa Famurewa
Keyword(s):  
Decision Making ◽  
Conceptual Model ◽  
Asset Management ◽  
Industry 4.0 ◽  
Intelligent Systems ◽  
Operational Efficiency ◽  
Physical Asset ◽  
Set Up ◽  
Maintenance Process ◽  
Reduced Risk

Several industries are looking for smart methods to increase their production throughput and operational efficiency at the lowest cost, reduced risk, and reduced spending of resources considering demands from stakeholders, governments, and competitors. To achieve this, industries are looking for possible solutions to the above problems by adopting emerging technologies. A foremost concept that is setting the pace and direction for many sectors and services is Industry 4.0. The focus is on augmenting machines and infrastructure with wireless connectivity, sensors, and intelligent systems to monitor, visualize, and communicate incidences between different entities for decision making. An aspect of physical asset management that has been enormously influenced by the new industrial set-up is the maintenance process. This chapter highlights the issues and challenges of Industry 4.0 from maintenance process viewpoint according to EN 60300-3-14. Further, a conceptual model on how maintenance process can be integrated into Industrial 4.0 architecture is proposed to enhance its value.

scholarly journals Digitalizing Predictive Maintenance to Improve Asset Management: Are We Ready?

2020 ◽  
Author(s):  
Damjan Maletić ◽  
Nuno Marques de Almeida ◽  
Dragan Komljenovic ◽  
Viktor Lovrenčić ◽  
Matjaž Maletič
Keyword(s):  
Asset Management ◽  
Industry 4.0 ◽  
New Technologies ◽  
Management Practice ◽  
Future Orientation ◽  
Predictive Maintenance ◽  
Management Approach ◽  
Maintenance Strategy ◽  
Early Stages ◽  
Maintenance Activities

The purpose of this paper is to explore the readiness of selected Slovenian companies to assimilate the complexities of Industry 4.0 requirements into their asset management practice, namely for the particular case of the predictive maintenance function. The survey was conducted to capture the extent to which companies address new technologies as well as to identify the current and future orientation towards their adoption in predictive maintenance activities. The results suggest that companies are aware of the benefits that can be attained with Industry 4.0 solutions. However, they still lack of clear vison and an implementation roadmap such solutions. Moreover, the majority of the companies in the sample are still in the early stages of predictive maintenance strategy maturity. Taking a wider perspective one can highlight the need to adopt organization-wide asset management approach to be able to effectively manage the transition towards digitalization by means of creating higher value for the organization.

scholarly journals A COMPARISON OF LASER AND STRUCTURED LIGHT SCANNING TECHNOLOGIES FOR ARCHAEOLOGICAL APPLICATIONS

2021 ◽  
Vol 13 (3) ◽  
pp. 111-116
Author(s):  
Nikolaos Papas ◽  
◽  
Konstantinos Tsongas ◽  
Dimitrios Karolidis ◽  
Dimitrios Tzetzis ◽  
...  
Keyword(s):  
Structured Light ◽  
Three Dimensional ◽  
3D Models ◽  
3D Scanning ◽  
Acquisition Time ◽  
Digital Reference ◽  
Scanning Time ◽  
Actual Equipment ◽  
Scan Data

Reverse engineering and in particular three-dimensional digitization have become an essential part of the documentation of archaeological findings. 3D scanning produces a high-precision digital reference document. The factors that influence the quality of the 3D scanned data are the scanned object’s surface colour, its glossiness and geometry, and the ambient light during the scanning process. However, the actual equipment and scanning technologies are of primary importance. The current paper presents a qualitative and quantitative comparison between two 3D scanning devices of different technologies; structured light 3D scanning and laser 3D scanning. The benchmark for this comparison is an ancient Roman vase from the city of Thessaloniki, Greece. The object was scanned with every possible setting on each scanner, but only one configuration of settings on each device was selected for the final comparison. The main criterion for the final selection of the two 3D models acquired with the use of the two technologies was the proximity in the number of points and polygons produced for digitally restoring the ancient vase in the best possible way. The results indicate important differences regarding the accuracy of the final digital model. The laser technology produced better accuracy but with a significant cost in scanning time and model data size. On the other hand, the structured light technology achieved the optimal combination of scanning quality and accuracy, along with reduced acquisition time of scan data.

scholarly journals Reconstruction of the Sculpture Surface in the Process of Optical 3D Scanning

2020 ◽  
Vol 19 ◽  
Keyword(s):  
3D Models ◽  
3D Scanning ◽  
Distance Method ◽  
Scanning Process ◽  
3D Surface ◽  
Scan Data ◽  
Object Material ◽  
Technical Solutions ◽  
Inverse Distance

Currently, 3D scanning technology is used for high-precision measurements and fixing the geometric shape of various objects. However, when creating a computer 3D-model as a result of processing the array of data obtained from the scanning process, may contain errors. Errors may related to the features of the studied object (material, weight, size, location), functional properties of the software used or they may be the low qualification of the software engineer involved in processing 3D scan data. The task of this work was a finding the technical solutions, which allows one to reconstruct the objects surface, recorded using 3D scanning in the process of creating their computer 3D models. We proposed to use the inverse distance method, which is used in biometry to improve the quality of reconstruction of the 3D surface of a human face. Experiments have shown that the result of the reconstruction makes it possible to increase the accuracy of creating 3D models by recovering gaps in the surface of an object that were made during the 3D scanning process. The proposed approach allows one to construct a 3D surface without solving the triangulation problem, which leads to a reduction in computational costs.

scholarly journals An Approach for Direct Offline Programming of High Precision Assembly Tasks on 3D Scans Using Tactile Control and Automatic Program Adaption

2022 ◽  
pp. 215-225
Author(s):  
Maximilian Metzner ◽  
Dominik Reisinger ◽  
Jan-Niklas Ortmann ◽  
Lukas Grünhöfer ◽  
Andreas Handwerker ◽  
...  
Keyword(s):  
High Precision ◽  
Real World ◽  
3D Scanning ◽  
Use Case ◽  
Programming Environment ◽  
Automatic Program ◽  
Offline Programming ◽  
3D Scans ◽  
Assembly Tasks ◽  
Over Time

AbstractThis contribution defines a methodology for the direct offline programming of robotic high-precision assembly tasks without the need for real-world teach-in, even for less-accurate lightweight robots. Using 3D scanning technologies, the relevant geometrical relations of the offline programming environment are adjusted to the real application. To bridge remaining accuracy gaps, tactile insertion algorithms are provided. As repetitive inaccuracy compensation through tactile search is considered wasteful, a method to automatically adapt the robot program to continuously increase precision over time, taking into account multiple influence sets is derived. The presented methodology is validated on a real-world use case from electronics production.

Mannequin fabrication methodology using 3D-scanning, modeling and printing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Seolyoung Oh ◽  
Dongae Suh
Keyword(s):  
Cross Sections ◽  
Mass Customization ◽  
Fused Deposition Modeling ◽  
3D Scanning ◽  
Fashion Industry ◽  
Content Type ◽  
Cloud Data ◽  
Fused Deposition ◽  
Scan Data ◽  
Body Shapes

PurposeThis paper presents a method to fabricate a fitting-mannequin using 3D-scanning, modeling and printing technologies.Design/methodology/approachScan data were obtained from 12 subjects with body size in the average range, selected from 208 women aged 20–29. The 3D-scan data were modified by selecting cross-sections from the cloud data, symmetrizing body shapes and obtaining mean points of body shapes. Fifteen spline curves, generated by connecting the mean points on the X–Y plane, were used as sketches and loft features to create the 3D mannequin models. A lower-body fitting mannequin was printed with polylactic acid plastic using a fused deposition-modeling 3D printer.FindingsThe cross-section circumference discrepancies among the 3D-printed mannequins in each step were within 1%, demonstrating the applicability and reliability of the 3D technologies proposed for mass customization.Originality/valueThe proposed methodology demonstrates the value of using 3D-scanning data to manufacture fitting-mannequins via mass customization. The study demonstrates the possibility and practicality of using 3D techniques to produce commercially viable fitting mannequins for the fashion industry.

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