scholarly journals Integration of an MES and AIV Using a LabVIEW Middleware Scheduler Suitable for Use in Industry 4.0 Applications

2020 ◽  
Vol 10 (20) ◽  
pp. 7054 ◽  
Author(s):  
Muzaffar Rao ◽  
Liam Lynch ◽  
James Coady ◽  
Daniel Toal ◽  
Thomas Newe
Keyword(s):  
Real Time ◽  
Industry 4.0 ◽  
Low Cost ◽  
Intelligent Vehicles ◽  
Current Status ◽  
Main Task ◽  
Time Data ◽  
Manufacturing Execution Systems ◽  
Product Delivery ◽  
Real Time Information

Industry 4.0 uses the analysis of real-time data, artificial intelligence, automation, and the interconnection of components of the production lines to improve manufacturing efficiency and quality. Manufacturing Execution Systems (MESs) and Autonomous Intelligent Vehicles (AIVs) are key elements of Industry 4.0 implementations. An MES connects, monitors, and controls data flows on the factory floor, while automation is achieved by using AIVs. The Robot Operating System (ROS) built AIVs are targeted here. To facilitate MES and AIV interactions, there is a need to integrate the MES and the AIVs to help in building an automated and interconnected manufacturing environment. This integration needs middleware, which understands both MES and AIVs. To address this issue, a LabVIEW-based scheduler is proposed here as the middleware. LabVIEW communicates with the MES through webservices and has support for ROS. The main task of the scheduler is to control the AIV based on MES requests. The scheduler developed was tested in a real factory environment using the SAP MES and a Robotnik ‘RB-1′ robot. The scheduler interface provides real-time information about the current status of the MES, AIV, and the current stage of scheduler processing. The proposed scheduler provides an efficient automated product delivery system that transports the product from process cell to process cell using the AIV, based on the production sequences defined by the MES. In addition, using the proposed scheduler, integration of an MES is possible with any low-cost ROS-built AIV.

scholarly journals Design of an IoT based Real Time Environment Monitoring System using Legacy Sensors

2018 ◽  
Vol 210 ◽  
pp. 03008
Author(s):  
Aparajita Das ◽  
Manash Pratim Sarma ◽  
Kandarpa Kumar Sarma ◽  
Nikos Mastorakis
Keyword(s):  
Air Pollution ◽  
Light Intensity ◽  
Real Time ◽  
Environmental Conditions ◽  
Low Cost ◽  
Environment Monitoring ◽  
Time Data ◽  
Graphical Information ◽  
Real Time Data ◽  
Sun Light

This paper describes the design of an operative prototype based on Internet of Things (IoT) concepts for real time monitoring of various environmental conditions using certain commonly available and low cost sensors. The various environmental conditions such as temperature, humidity, air pollution, sun light intensity and rain are continuously monitored, processed and controlled by an Arduino Uno microcontroller board with the help of several sensors. Captured data are broadcasted through internet with an ESP8266 Wi-Fi module. The projected system delivers sensors data to an API called ThingSpeak over an HTTP protocol and allows storing of data. The proposed system works well and it shows reliability. The prototype has been used to monitor and analyse real time data using graphical information of the environment.

scholarly journals Semantic Traffic Sensor Data: The TRAFAIR Experience

2020 ◽  
Vol 10 (17) ◽  
pp. 5882
Author(s):  
Federico Desimoni ◽  
Sergio Ilarri ◽  
Laura Po ◽  
Federica Rollo ◽  
Raquel Trillo-Lado
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Smart Cities ◽  
Low Cost ◽  
Semantic Annotation ◽  
Open Data ◽  
Transportation Systems ◽  
Sensor Data ◽  
Time Data ◽  
Future Evolution

Modern cities face pressing problems with transportation systems including, but not limited to, traffic congestion, safety, health, and pollution. To tackle them, public administrations have implemented roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. In the case of traffic sensor data not only the real-time data are essential, but also historical values need to be preserved and published. When real-time and historical data of smart cities become available, everyone can join an evidence-based debate on the city’s future evolution. The TRAFAIR (Understanding Traffic Flows to Improve Air Quality) project seeks to understand how traffic affects urban air quality. The project develops a platform to provide real-time and predicted values on air quality in several cities in Europe, encompassing tasks such as the deployment of low-cost air quality sensors, data collection and integration, modeling and prediction, the publication of open data, and the development of applications for end-users and public administrations. This paper explicitly focuses on the modeling and semantic annotation of traffic data. We present the tools and techniques used in the project and validate our strategies for data modeling and its semantic enrichment over two cities: Modena (Italy) and Zaragoza (Spain). An experimental evaluation shows that our approach to publish Linked Data is effective.

scholarly journals Real-time structural health monitoring for concrete beams: a cost-effective ‘Industry 4.0’ solution using piezo sensors

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arka Ghosh ◽  
David John Edwards ◽  
M. Reza Hosseini ◽  
Riyadh Al-Ameri ◽  
Jemal Abawajy ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Real Time ◽  
Health Monitoring ◽  
Industry 4.0 ◽  
Concrete Beams ◽  
Low Cost ◽  
Cost Effective ◽  
Content Type ◽  
Structural Health ◽  
Non Destructive

PurposeThis research paper adopts the fundamental tenets of advanced technologies in industry 4.0 to monitor the structural health of concrete beam members using cost-effective non-destructive technologies. In so doing, the work illustrates how a coalescence of low-cost digital technologies can seamlessly integrate to solve practical construction problems.Design/methodology/approachA mixed philosophies epistemological design is adopted to implement the empirical quantitative analysis of “real-time” data collected via sensor-based technologies streamed through a Raspberry Pi and uploaded onto a cloud-based system. Data was analysed using a hybrid approach that combined both vibration-characteristic-based method and linear variable differential transducers (LVDT).FindingsThe research utilises a novel digital research approach for accurately detecting and recording the localisation of structural cracks in concrete beams. This non-destructive low-cost approach was shown to perform with a high degree of accuracy and precision, as verified by the LVDT measurements. This research is testament to the fact that as technological advancements progress at an exponential rate, the cost of implementation continues to reduce to produce higher-accuracy “mass-market” solutions for industry practitioners.Originality/valueAccurate structural health monitoring of concrete structures necessitates expensive equipment, complex signal processing and skilled operator. The concrete industry is in dire need of a simple but reliable technique that can reduce the testing time, cost and complexity of maintenance of structures. This was the first experiment of its kind that seeks to develop an unconventional approach to solve the maintenance problem associated with concrete structures. This study merges industry 4.0 digital technologies with a novel low-cost and automated hybrid analysis for real-time structural health monitoring of concrete beams by fusing several multidisciplinary approaches into one integral technological configuration.

scholarly journals Modeling of an IoT-enabled supply chain for perishable food with two-echelon supply hubs

2017 ◽  
Vol 117 (9) ◽  
pp. 1890-1905 ◽  
Author(s):  
Yingfeng Zhang ◽  
Lin Zhao ◽  
Cheng Qian
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Food Supply ◽  
Time Data ◽  
Food Supply Chain ◽  
Content Type ◽  
The Real ◽  
Industrial Parks ◽  
Iot Devices ◽  
Real Time Information

Purpose The huge demand for fresh goods has stimulated lots of research on the perishable food supply chain. The characteristics of perishable food and the cross-regional transportation have brought many challenges to the operation models of perishable food supply chain. The purpose of this paper is to address these challenges based on the real-time data acquired by the Internet of Things (IoT) devices. Design/methodology/approach IoT and the modeling of the Supply Hub in Industrial Parks were adopted in the perishable food supply chain. Findings A conceptual model was established for the IoT-enabled perishable food supply chain with two-echelon supply hubs. The performance of supply chain has improved when implementing the proposed model, as is demonstrated by a case study. Originality/value By our model, the supply hubs which act as the dominators of the supply chain can respond to the real-time information captured from the operation processes of an IoT-enabled supply chain, thus to provide public warehousing and logistic services.

Design on Light Geodesic Instrument Semi-Physical Simulation Training System Based on Virtual Scene

2014 ◽  
Vol 926-930 ◽  
pp. 1517-1521
Author(s):  
Xiang Jin Wang ◽  
Guo Dong Li ◽  
Zhi Lu Zhang ◽  
Zhe Li
Keyword(s):  
Real Time ◽  
Simulation Training ◽  
Physical Simulation ◽  
Low Cost ◽  
Three Dimensional ◽  
General Purpose ◽  
Training System ◽  
Time Data ◽  
Virtual Scene ◽  
Geodesic Instrument

This paper takes the light geodesic instrument as the research object, puts forward a design idea of the semi-physical simulation training system based on the virtual scene and realizes three-dimensional modeling, real-time scene drawing and real-time data driving display through Virtools and Visual C++. ARM7 and the general-purpose single-chip microcomputer are adopted to realize the function simulation of the equipment. This simulation training system has the characteristics of low cost, low power consumption and high simulation degree.

scholarly journals SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH

2015 ◽  
Vol XL-1-W5 ◽  
pp. 293-296 ◽  
Author(s):  
S. Hasani ◽  
A. Sadeghi-Niaraki ◽  
M. Jelokhani-Niaraki
Keyword(s):  
Data Integration ◽  
Real Time ◽  
Spatial Data ◽  
Service Oriented Architecture ◽  
Low Cost ◽  
Time Integration ◽  
Semantic Heterogeneity ◽  
Sources Of Information ◽  
Time Data ◽  
Service Oriented

In today's world, the necessity for spatial data for various organizations is becoming so crucial that many of these organizations have begun to produce spatial data for that purpose. In some circumstances, the need to obtain real time integrated data requires sustainable mechanism to process real-time integration. Case in point, the disater management situations that requires obtaining real time data from various sources of information. One of the problematic challenges in the mentioned situation is the high degree of heterogeneity between different organizations data. To solve this issue, we introduce an ontology-based method to provide sharing and integration capabilities for the existing databases. In addition to resolving semantic heterogeneity, better access to information is also provided by our proposed method. Our approach is consisted of three steps, the first step is identification of the object in a relational database, then the semantic relationships between them are modelled and subsequently, the ontology of each database is created. In a second step, the relative ontology will be inserted into the database and the relationship of each class of ontology will be inserted into the new created column in database tables. Last step is consisted of a platform based on service-oriented architecture, which allows integration of data. This is done by using the concept of ontology mapping. The proposed approach, in addition to being fast and low cost, makes the process of data integration easy and the data remains unchanged and thus takes advantage of the legacy application provided.

scholarly journals Sensors and tribological systems: applications for industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saquib Rouf ◽  
Ankush Raina ◽  
Mir Irfan Ul Haq ◽  
Nida Naveed
Keyword(s):  
Real Time ◽  
Industry 4.0 ◽  
Developing Economies ◽  
Industrial Applications ◽  
Vital Role ◽  
Critical Parameters ◽  
Time Data ◽  
Content Type ◽  
Real Time Data

Purpose The involvement of wear, friction and lubrication in engineering systems and industrial applications makes it imperative to study the various aspects of tribology in relation with advanced technologies and concepts. The concept of Industry 4.0 and its implementation further faces a lot of barriers, particularly in developing economies. Real-time and reliable data is an important enabler for the implementation of the concept of Industry 4.0. For availability of reliable and real-time data about various tribological systems is crucial in applying the various concepts of Industry 4.0. This paper aims to attempt to highlight the role of sensors related to friction, wear and lubrication in implementing Industry 4.0 in various tribology-related industries and equipment. Design/methodology/approach A through literature review has been done to study the interrelationships between the availability of tribology-related data and implementation of Industry 4.0 are also discussed. Relevant and recent research papers from prominent databases have been included. A detailed overview about the various types of sensors used in generating tribological data is also presented. Some studies related to the application of machine learning and artificial intelligence (AI) are also included in the paper. A discussion on fault diagnosis and cyber physical systems in connection with tribology has also been included. Findings Industry 4.0 and tribology are interconnected through various means and the various pillars of Industry 4.0 such as big data, AI can effectively be implemented in various tribological systems. Data is an important parameter in the effective application of concepts of Industry 4.0 in the tribological environment. Sensors have a vital role to play in the implementation of Industry 4.0 in tribological systems. Determining the machine health, carrying out maintenance in off-shore and remote mechanical systems is possible by applying online-real-time data acquisition. Originality/value The paper tries to relate the pillars of Industry 4.0 with various aspects of tribology. The paper is a first of its kind wherein the interdisciplinary field of tribology has been linked with Industry 4.0. The paper also highlights the role of sensors in generating tribological data related to the critical parameters, such as wear rate, coefficient of friction, surface roughness which is critical in implementing the various pillars of Industry 4.0.

scholarly journals How to create a very-low-cost, very-low-power, credit-card-sized and real-time-ready datalogger

2015 ◽  
Vol 40 ◽  
pp. 37-41 ◽  
Author(s):  
M. Bès de Berc ◽  
M. Grunberg ◽  
F. Engels
Keyword(s):  
Real Time ◽  
Credit Card ◽  
Low Cost ◽  
Pressure Sensors ◽  
Time Data ◽  
Simple Method ◽  
Standard Format ◽  
Embedded Computer ◽  
Remote Station ◽  
Analogue To Digital

Abstract. In order to improve an existing network, a field seismologist would have to add some extra sensors to a remote station. However, additional ADCs (analogue-to-digital converters) are not always implemented on commercial dataloggers, or, if they are, they may already be used. Installing additional ADCs often implies an expensive development, or the purchase of a new datalogger. We present here a simple method to take advantage of the ADCs of an embedded computer in order to create data in a seismological standard format and integrate them within the real-time data stream from the station. Our first goal is to plug temperature and pressure sensors on the ADCs, read data and record them in mini-seed format (seed stands for Standard for the Exchange of the Earthquake Data), and eventually transfer them to a central server together with the seismic data, by using seedlink, since mini-seed and seedlink are standard for seismology.

scholarly journals LOW COST DATABASE DESIGN FOR 3D VIEWING AND ACCESS

2011 ◽  
Author(s):  
Kambiz Farahmand
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Visual Basic ◽  
Parametric Modeling ◽  
Shop Floor ◽  
Time Data ◽  
Microsoft Access ◽  
Technical Manual ◽  
Real Time Data ◽  
Modeling Software

Using the popular desktop software, Microsoft Access and Visual Basic coding, a database inventory was designed for a helicopter maintenance plant. This design aims to provide the managers and maintenance engineers a reliable tool to view the inventory list in its shops. This design model uses real time data from the shop floor and the data provided in the Blackhawk Technical Manual for Army operations. This project provides integration between Pro/ENGINEER and Microsoft Access. Microsoft Access is a desktop database application which is inexpensive and available readily. PTC© Pro/ENGINEER is interactive, powerful parametric modeling software for 3D viewing and modeling. In effect, this design aims to provide the managers with a better understanding and quick access to inventory list of the shop floor and as such better utilization of all the available resources.

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