Rapidly Deployable MTConnect-Based Machine Tool Monitoring Systems

The amount of data that can be gathered from a machining process is often misunderstood, and even if these data are collected, they are frequently underutilized. Intelligent uses of data collected from a manufacturing operation can lead to increased productivity and lower costs. While some large-scale manufacturers have developed custom solutions for data collection from their machine tools, small- and medium-size enterprises need efficient and easily deployable methods for data collection and analysis. This paper presents three broad solutions to data collection from machine tools, all of which rely on the open-source and royalty-free MTConnect protocol: the first is a machine monitoring dashboard based on Microsoft Excel; the second is an open source solution using Python and MTConnect; and the third is a cloud-based system using Google Sheets. Time studies are performed on these systems to determine their capability to gather near real-time data from a machining process.

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Industry 4.0 Digital Technologies for data collection and control

10.33920/pro-2-2106-04 ◽

2021 ◽

pp. 43-58

Author(s):

S. S. Yudachev ◽

P. A. Monakhov ◽

N. A. Gordienko

Keyword(s):

Data Collection ◽

Open Source ◽

Software Defined Radio ◽

Block Diagram ◽

Data Access ◽

Gnu Radio ◽

Time Data ◽

Object A ◽

Data Propagation ◽

And Control

This article describes an attempt to create open source LabVIEW software, equivalent to data collection and control software. The proposed solution uses GNU Radio, OpenCV, Scilab, Xcos, and Comedi in Linux. GNU Radio provides a user-friendly graphical interface. Also, GNU Radio is a software-defined radio that conducts experiments in practice using software rather than the usual hardware implementation. Blocks for data propagation, code deletion with and without code tracking are created using the zero correlation zone code (ZCZ, a combination of ternary codes equal to 1, 0, and –1, which is specified in the program). Unlike MATLAB Simulink, GNU Radio is open source, i. e. free, and the concepts can be easily accessed by ordinary people without much programming experience using pre-written blocks. Calculations can be performed using OpenCV or Scilab and Xcos. Xcos is an application that is part of the Scilab mathematical modeling system, and it provides developers with the ability to design systems in the field of mechanics, hydraulics and electronics, as well as queuing systems. Xcos is a graphical interactive environment based on block modeling. The application is designed to solve problems of dynamic and situational modeling of systems, processes, devices, as well as testing and analyzing these systems. In this case, the modeled object (a system, device or process) is represented graphically by its functional parametric block diagram, which includes blocks of system elements and connections between them. The device drivers listed in Comedi are used for real-time data access. We also present an improved PyGTK-based graphical user interface for GNU Radio. English version of the article is available at URL: https://panor.ru/articles/industry-40-digital-technology-for-data-collection-and-management/65216.html

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ImageJ and 3D Slicer: open source 2/3D morphometric software

10.7287/peerj.preprints.27998v1 ◽

2019 ◽

Author(s):

Fiona Pye ◽

Nussaȉbah B Raja ◽

Bryan Shirley ◽

Ádám T Kocsis ◽

Niklas Hohmann ◽

...

Keyword(s):

Data Collection ◽

Open Source ◽

Programming Languages ◽

Quality Data ◽

Software Projects ◽

High Quality Data ◽

3D Slicer ◽

Data Collection And Analysis ◽

Digital Methods ◽

Imagej Plugin

In a world where an increasing number of resources are hidden behind paywalls and monthly subscriptions, it is becoming crucial for the scientific community to invest energy into freely available, community-maintained systems. Open-source software projects offer a solution, with freely available code which users can utilise and modify, under an open source licence. In addition to software accessibility and methodological repeatability, this also enables and encourages the development of new tools. As palaeontology moves towards data driven methodologies, it is becoming more important to acquire and provide high quality data through reproducible systematic procedures. Within the field of morphometrics, it is vital to adopt digital methods that help mitigate human bias from data collection. In addition,m mathematically founded approaches can reduce subjective decisions which plague classical data. This can be further developed through automation, which increases the efficiency of data collection and analysis. With these concepts in mind, we introduce two open-source shape analysis software, that arose from projects within the medical imaging field. These are ImageJ, an image processing program with batch processing features, and 3DSlicer which focuses on 3D informatics and visualisation. They are easily extensible using common programming languages, with 3DSlicer containing an internal python interactor, and ImageJ allowing the incorporation of several programming languages within its interface alongside its own simplified macro language. Additional features created by other users are readily available, on GitHub or through the software itself. In the examples presented, an ImageJ plugin “FossilJ” has been developed which provides semi-automated morphometric bivalve data collection. 3DSlicer is used with the extension SPHARM-PDM, applied to synchrotron scans of coniform conodonts for comparative morphometrics, for which small assistant tools have been created.

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Prediction of Fault Fix Time Transition in Large-Scale Open Source Project Data

Data ◽

10.3390/data4030109 ◽

2019 ◽

Vol 4 (3) ◽

pp. 109

Author(s):

Hironobu Sone ◽

Yoshinobu Tamura ◽

Shigeru Yamada

Keyword(s):

Open Source ◽

Open Source Software ◽

Cost Reduction ◽

Large Scale ◽

Project Managers ◽

Time Data ◽

Software Reliability Growth Model ◽

Software Reliability Growth ◽

The Stability ◽

Project Data

Open source software (OSS) programs are adopted as embedded systems regarding their server usage, due to their quick delivery, cost reduction, and standardization of systems. Many OSS programs are developed using the peculiar style known as the bazaar method, in which faults are detected and fixed by developers around the world, and the result is then reflected in the next release. Furthermore, the fix time of faults tends to be shorter as the development of the OSS progresses. However, several large-scale open source projects encounter the problem that fault fixing takes much time because the fault corrector cannot handle many fault reports. Therefore, OSS users and project managers need to know the stability degree of open source projects by determining the fault fix time. In this paper, we predict the transition of the fix time in large-scale open source projects. To make the prediction, we use the software reliability growth model based on the Wiener process considering that the fault fix time in open source projects changes depending on various factors such as the fault reporting time and the assignees to fix the faults. In addition, we discuss the assumption that fault fix time data depend on the prediction of the transition in fault fixing time.

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A Design of Position Terminal Based on BDS

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.635-637.1128 ◽

2014 ◽

Vol 635-637 ◽

pp. 1128-1131

Author(s):

Xing Hong Kuang ◽

Zhe Yi Yao ◽

Shi Ming Wang

Keyword(s):

Data Collection ◽

Real Time ◽

High Precision ◽

High Speed ◽

Large Scale ◽

High Efficiency ◽

Satellite Navigation ◽

Navigation Systems ◽

Time Data ◽

High Precision Measurement

With the development of economy, the global satellite navigation system with its high speed, high efficiency, high precision measurement and positioning a series of significant advantages, favored by various industry data collection and monitoring of personnel resources , the advent of satellite navigation systems to solve a large-scale, rapid and high-precision global positioning problem. Its scope of application has penetrated to the various departments of the national economic and social development in various fields and industries. To be able to monitor the progressive realization of automated data collection and transmission, the urgent need to adopt advanced positioning technology to build real-time location monitoring system PC Based Development Background navigation receiver , an overview of the inter Beidou BD-126 systems and microcontrollers can be serially the basic principle of mouth communication describes the communication protocol Compass BD-126 positioning module and the next crew between the microcontroller to control development in the use of PC positioning system for a detailed description , including the BDS Beidou satellite navigation module and microcontroller serial data communications, microprocessor controlled real-time data display , and so on

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Electronic Data Management for Vaccine Trials in Low Resource Settings: Upgrades, Scalability, and Impact of ODK

Frontiers in Public Health ◽

10.3389/fpubh.2021.665584 ◽

2021 ◽

Vol 9 ◽

Author(s):

Michael Marks ◽

Sham Lal ◽

Hannah Brindle ◽

Pierre-Stéphane Gsell ◽

Matthew MacGregor ◽

...

Keyword(s):

Data Collection ◽

Clinical Research ◽

Data Management ◽

Open Source ◽

Large Scale ◽

Democratic Republic Of Congo ◽

World Health ◽

Electronic Data ◽

Diverse Range ◽

Electronic Data Collection

Background: ODK provides software and standards that are popular solutions for off-grid electronic data collection and has substantial code overlap and interoperability with a number of related software products including CommCare, Enketo, Ona, SurveyCTO, and KoBoToolbox. These tools provide open-source options for off-grid use in public health data collection, management, analysis, and reporting. During the 2018–2020 Ebola epidemic in the North Kivu and Ituri regions of Democratic Republic of Congo, we used these tools to support the DRC Ministère de la Santé RDC and World Health Organization in their efforts to administer an experimental vaccine (VSV-Zebov-GP) as part of their strategy to control the transmission of infection.Method: New functions were developed to facilitate the use of ODK, Enketo and R in large scale data collection, aggregation, monitoring, and near-real-time analysis during clinical research in health emergencies. We present enhancements to ODK that include a built-in audit-trail, a framework and companion app for biometric registration of ISO/IEC 19794-2 fingerprint templates, enhanced performance features, better scalability for studies featuring millions of data form submissions, increased options for parallelization of research projects, and pipelines for automated management and analysis of data. We also developed novel encryption protocols for enhanced web-form security in Enketo.Results: Against the backdrop of a complex and challenging epidemic response, our enhanced platform of open tools was used to collect and manage data from more than 280,000 eligible study participants who received VSV-Zebov-GP under informed consent. These data were used to determine whether the VSV-Zebov-GP was safe and effective and to guide daily field operations.Conclusions: We present open-source developments that make electronic data management during clinical research and health emergencies more viable and robust. These developments will also enhance and expand the functionality of a diverse range of data collection platforms that are based on the ODK software and standards.

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ImageJ and 3D Slicer: open source 2/3D morphometric software

10.7287/peerj.preprints.27998 ◽

2019 ◽

Author(s):

Fiona Pye ◽

Nussaȉbah B Raja ◽

Bryan Shirley ◽

Ádám T Kocsis ◽

Niklas Hohmann ◽

...

Keyword(s):

Data Collection ◽

Open Source ◽

Programming Languages ◽

Quality Data ◽

Software Projects ◽

High Quality Data ◽

3D Slicer ◽

Data Collection And Analysis ◽

Digital Methods ◽

Imagej Plugin

In a world where an increasing number of resources are hidden behind paywalls and monthly subscriptions, it is becoming crucial for the scientific community to invest energy into freely available, community-maintained systems. Open-source software projects offer a solution, with freely available code which users can utilise and modify, under an open source licence. In addition to software accessibility and methodological repeatability, this also enables and encourages the development of new tools. As palaeontology moves towards data driven methodologies, it is becoming more important to acquire and provide high quality data through reproducible systematic procedures. Within the field of morphometrics, it is vital to adopt digital methods that help mitigate human bias from data collection. In addition, mathematically founded approaches can reduce subjective decisions which plague classical data. This can be further developed through automation, which increases the efficiency of data collection and analysis. With these concepts in mind, we introduce two open-source shape analysis software, that arose from projects within the medical imaging field. These are ImageJ, an image processing program with batch processing features, and 3D Slicer which focuses on 3D informatics and visualisation. They are easily extensible using common programming languages, with 3D Slicer containing an internal python interactor, and ImageJ allowing the incorporation of several programming languages within its interface alongside its own simplified macro language. Additional features created by other users are readily available, on GitHub or through the software itself. In the examples presented, an ImageJ plugin “FossilJ” has been developed which provides semi-automated morphometric bivalve data collection. 3D Slicer is used with the extension SPHARM-PDM, applied to synchrotron scans of coniform conodonts for comparative morphometrics, for which small assistant tools have been created in Python.

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Mass customization capability

Science and Technology Development Journal ◽

10.32508/stdj.v16i2.1468 ◽

2013 ◽

Vol 16 (2) ◽

pp. 5-15

Author(s):

Toan Khanh Vo ◽

Hung Nguyen Bui

Keyword(s):

Pilot Study ◽

Data Collection ◽

Mass Customization ◽

Large Scale ◽

Supplier Integration ◽

Large Scale Data ◽

Data Collection And Analysis ◽

Product Modularity ◽

Initial Results ◽

Scale Data

This paper aims to evaluate the reliability, validity and unidimentionality of the scales. A prepilot study was completed that involved three manufacturing managers and four academic experts to improve content validity. A pilot study was then completed that 108 middle and senior manufacturing managers in HCM City and neighboring provinces. Cronbach’s alpha and EFA analysis was used to assess the reliability validity and unidimentionality of the scales. The initial results show that mass customization capability, product modularity, supplier integration may have reliability, validity and unidimentionality; customer integration may not have unidimentionality. Therefore, large-scale data collection and analysis will have collected and analyzed to validate the instruments, test the model and research hypotheses.

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RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices

JMIR mhealth and uhealth ◽

10.2196/11734 ◽

2019 ◽

Vol 7 (8) ◽

pp. e11734 ◽

Cited By ~ 13

Author(s):

Yatharth Ranjan ◽

Zulqarnain Rashid ◽

Callum Stewart ◽

Pauline Conde ◽

Mark Begale ◽

...

Keyword(s):

High Resolution ◽

Data Collection ◽

Open Source ◽

Mobile Health ◽

Large Scale ◽

Streaming Data ◽

Security And Privacy ◽

The European Union ◽

Wide Range ◽

Remote Assessment

Background With a wide range of use cases in both research and clinical domains, collecting continuous mobile health (mHealth) streaming data from multiple sources in a secure, highly scalable, and extensible platform is of high interest to the open source mHealth community. The European Union Innovative Medicines Initiative Remote Assessment of Disease and Relapse-Central Nervous System (RADAR-CNS) program is an exemplary project with the requirements to support the collection of high-resolution data at scale; as such, the Remote Assessment of Disease and Relapse (RADAR)-base platform is designed to meet these needs and additionally facilitate a new generation of mHealth projects in this nascent field. Objective Wide-bandwidth networks, smartphone penetrance, and wearable sensors offer new possibilities for collecting near-real-time high-resolution datasets from large numbers of participants. The aim of this study was to build a platform that would cater for large-scale data collection for remote monitoring initiatives. Key criteria are around scalability, extensibility, security, and privacy. Methods RADAR-base is developed as a modular application; the backend is built on a backbone of the highly successful Confluent/Apache Kafka framework for streaming data. To facilitate scaling and ease of deployment, we use Docker containers to package the components of the platform. RADAR-base provides 2 main mobile apps for data collection, a Passive App and an Active App. Other third-Party Apps and sensors are easily integrated into the platform. Management user interfaces to support data collection and enrolment are also provided. Results General principles of the platform components and design of RADAR-base are presented here, with examples of the types of data currently being collected from devices used in RADAR-CNS projects: Multiple Sclerosis, Epilepsy, and Depression cohorts. Conclusions RADAR-base is a fully functional, remote data collection platform built around Confluent/Apache Kafka and provides off-the-shelf components for projects interested in collecting mHealth datasets at scale.

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