IoT-enabled Smart Factory Visibility and Traceability Using Laser-scanners

Zhong, Ray Y.; Xu, Xun; Wang, Lihui

doi:10.1016/j.promfg.2017.07.103

Cited by 77 publications

(43 citation statements)

References 27 publications

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“…Author [2] says that devices are connected through IoT and they produce large volumes of data. This paper presents Big Data as a solution to handle these large amounts of data and applications of IoT using Big Data.Author [3] says that a city gets evolved into a smart city with the help of ICT and IoT.…”

Section: Literature Surveymentioning

confidence: 99%

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IoT Based Atmosphere Monitoring System using Hadoop Map Reduce Paradigm

Naidu,

Rao,

Prasad

2020

IJEAT

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In today’s world there are a host of serious environmental problems, and air pollution is one of the top causes of many chronic respiratory diseases with accelerated aging of lungs and possibly cancer. Air pollution is the most widespread pollution which is inevitable, since air being an ever pervading medium and carrier, which can transfer the pollutants very fast in no time. It is generally caused due to pollutants like carbon dioxide, carbon monoxide, nitrogen oxides, sulfur dioxide that are released especially when fuels are burnt.This paper aims at designing an Internet of Things (IoT) based atmosphere monitoring system using Hadoop ecosystem. Internet of things (IoT) provides a platform that allows devices to be connected, sensed and be controlled remotely across a network infrastructure. Hadoop is an open source framework which is used to store and process large amount of data using commodity hardware. The key feature of this paper is to measure the level of air contaminants, temperature in the atmosphere using sensors, and also store the sensor data into the cloud server that is Adafruit. Thereby, we redirect the data into Hadoop Distributed File System (HDFS) and process the sensor data to list out the areas with highest pollution level and temperature.

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Section: Literature Surveymentioning

confidence: 99%

“…In this paper IoT has been applied for connecting various physical devices like DHT 11 and MQ-2 gas sensors which are connected to ESP8266 module and uses Adafruit cloud server for data storage [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

IoT Based Atmosphere Monitoring System using Hadoop Map Reduce Paradigm

Naidu,

Rao,

Prasad

2020

IJEAT

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“…Data about products, destinations, drivers and warehouse requirements will be analysed and processed along with data about traffic and weather conditions for optimal route planning [36]. Sensors will be also used to perform real-time quality checking [37], i.e., to monitor the condition of products, their packaging, and their location. This will be particularly useful to ensure that products with particular requirements, e.g., temperature for frozen food, are conveyed in the best possible conditions.…”

Section: Supply Chain Managementmentioning

confidence: 99%

How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0

Pilloni

2018

Future Internet

120

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We are living in the era of the fourth industrial revolution, namely Industry 4.0. This paper presents the main aspects related to Industry 4.0, the technologies that will enable this revolution, and the main application domains that will be affected by it. The effects that the introduction of Internet of Things (IoT), Cyber-Physical Systems (CPS), crowdsensing, crowdsourcing, cloud computing and big data will have on industrial processes will be discussed. The main objectives will be represented by improvements in: production efficiency, quality and cost-effectiveness; workplace health and safety, as well as quality of working conditions; products' quality and availability, according to mass customisation requirements. The paper will further discuss the common denominator of these enhancements, i.e., data collection and analysis. As data and information will be crucial for Industry 4.0, crowdsensing and crowdsourcing will introduce new advantages and challenges, which will make most of the industrial processes easier with respect to traditional technologies.

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“…In logistic sector, IoT is used to enhance the efficiency of logistic management or transportation planning [16]. In manufacturing, IoT is used to get visibility and traceability of an object in production floor, and also to know their status in real time [17].…”

Section: B Internet Of Thingsmentioning

confidence: 99%

Cost Analysis for IoT Based Condition Based Maintenance to Increase Productivity

Dewanti

Singgih

2019

IJPS

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Condition Based Maintenance (CBM) is one of maintenance method that believed to be the most effective at reduction of cost and number of activities than the other maintenance methods. Degradation monitoring condition is an important things in order to get effective CBM system. The rapid development in information and communication has lead our industrial phase to industry 4.0, where are lot of smart objects can be connected and integrated in one network system, which is called Internet of Things (IoT). IoT facilitates monitoring and controlling to an object, and help maintenance system to monitor, record, and analyze the degradation of the object. Furthermore, with real time monitoring, system could detect and make decision when is maintenance activity should be done with consideration in cost. This research focused in the issue of integration of many smart objects to support CBM activities in cost reduction and IoT decision making with cost minimization as criteria. Cost analysis has been done using Activity Based Costing (ABC) and mathematical model has been constructed for decision making criteria which will be tested with numerical test using the data that gathered from company which applied IoT system. There are three condition which are tested: system without IoT implementation, current system with IoT implementation (auto shutdown when machine stroke reaches 300), and IoT system that consider the degradation condition to shut down. The result shows that IoT based CBM system that consider degradation level will incur optimal number of activities which resulting in fewer cost that the other systems. With fewer activity maintenance than auto-shutdown at 300 strokes, shows that the productivity increase without any delay due to maintenance.

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IoT-enabled Smart Factory Visibility and Traceability Using Laser-scanners

Cited by 77 publications

References 27 publications

IoT Based Atmosphere Monitoring System using Hadoop Map Reduce Paradigm

IoT Based Atmosphere Monitoring System using Hadoop Map Reduce Paradigm

How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0

Cost Analysis for IoT Based Condition Based Maintenance to Increase Productivity

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