A smart‐integrated IoT module for intelligent transportation in oil industry

Priyanka, E. B.; Chenniappan, Maheswari; Thangavel, S.

doi:10.1002/jnm.2731

Cited by 32 publications

(19 citation statements)

References 24 publications

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“…Using IoT applications, autonomous coordination between things is facilitated, and communication between humans and things in SCs is taken to another level [ 23 ]. This is achieved while the objects are stored in a storage facility or transited between different SC bodies [ 1 , 24 ]. IoT has a significant impact on the internal and external integration of the SCs between various processes and with suppliers and customers [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Towards Supply Chain Visibility Using Internet of Things: A Dyadic Analysis Review

Ahmed

Kalsoom

Ramzan

et al. 2021

Sensors

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The Internet of Things (IoT) and its benefits and challenges are the most emergent research topics among academics and practitioners. With supply chains (SCs) gaining rapid complexity, having high supply chain visibility (SCV) would help companies ease the processes and reduce complexity by improving inaccuracies. Extant literature has given attention to the organisation’s capability to collect and evaluate information to balance between strategy and goals. The majority of studies focus on investigating IoT’s impact on different areas such as sustainability, organisational structure, lean manufacturing, product development, and strategic management. However, research investigating the relationships and impact of IoT on SCV is minimal. This study closes this gap using a structured literature review to critically analyse existing literature to synthesise the use of IoT applications in SCs to gain visibility, and the SC. We found key IoT technologies that help SCs gain visibility, and seven benefits and three key challenges of these technologies. We also found the concept of Supply 4.0 that grasps the element of Industry 4.0 within the SC context. This paper contributes by combining IoT application synthesis, enablers, and challenges in SCV by highlighting key IoT technologies used in the SCs to gain visibility. Finally, the authors propose an empirical research agenda to address the identified gaps.

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Section: Introductionmentioning

confidence: 99%

Towards Supply Chain Visibility Using Internet of Things: A Dyadic Analysis Review

Ahmed

Kalsoom

Ramzan

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The worker platform programming database utilizes the predicament capacity to interface the organization report and the neighborhood convention docks to an attachment (Devi et al 2021a). In association, because the worker doesn't understand customer categories will demand the administration when initialization of official (Bind) kicks-starts, the customer's swarm report and convention port can't be determined, so the worker will be put forth to relies on Bind work with an arbitrary organization report to get any customer's solicitation, and afterward, hang tight customer to demand the appearance of information (Priyanka et al 2021a). Not at all like the association situated worker platform database, the wireless oriented worker needs to analyze the data mining capacity to be put in the aloof observing mode, and afterward build up an attachment interface by formulating the Accept work task rate.…”

Section: Wireless Monitoring Architecture Incorporated With Artificial Intelligencementioning

confidence: 99%

Wireless network upgraded with artificial intelligence on the data aggregation towards the smart internet applications

Priyanka

Thangavel

Sagayam

et al. 2021

Int J Syst Assur Eng Manag

Self Cite

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In the modern evolution, WSN (Wireless Sensor Network) incorporated with data aggregation platform which involves stimulating research area with various modern upgradation of AI (Artificial Intelligence). Many types of research are carried out by undertaking variety of Deep Learning Network and Fuzzy based data aggregation techniques in the interpretation of Wireless Sensor Circumstance. The focal theme of the proposed research paper is to analyze the present concentrated work on Artificial Intelligence-accompanied data aggregation paradigm in wireless communication by elaborating the integration framework. By this proposed AI with data aggregation wireless sensor system has upgraded the innovation with high empowering pillars in analyzing the data with more processing and interpretations. Since it also improves the data transmission rate by providing more security and encryption schemes to the preprocessed data storing and streaming ton the bandwidth channels. This paper enumerates the AI contribution on the computing platform with the various advancement of blockchain technology schematic framework and further its case study experimentation on the aero-engine applications. Further experimental results are provided with numerical analysis by showing the traditional and advanced-Long term Memory technique prediction results by taking aero-engine wireless sensor network environment through MATLAB simulation.

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“…The wavelet technique provides a time-scale information in the signal, and it can efficiently detect the transients. The Continuous Wavelet Transform (CWT) is used in timefrequency analysis that decomposes a signal in both time domain and frequency domain simultaneously [19]. The CWT can be defined as:…”

Section: Feature Extraction On Vibration Signalsmentioning

confidence: 99%

Vibration Signals Based Bearing Defects Identification Through Online Monitoring Using LABVIEW

Chennippan¹,

Priyanka²,

Adhulrasheed³

et al. 2020

JESA

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Rolling element bearing is one of the important components in rotary machines. Although a significant quantum of work has been done on bearing defect monitoring, estimation of defect size in bearing elements is still a challenge. Vibration signals resulting from rolling element bearing defects, present a rich content of physical information, the appropriate analysis of which can lead to the clear identification of the nature of the fault. The proposed research work is examined under laboratorial set-up keeping rotating speed and or load variation remains unchanged. Hence this paper represents the online monitoring approach of identifying outer, inner race and ball defects in the ball bearing based on the location, count and size of the defects by incorporating PLC with LABVIEW platform. A monitoring tool acquires experimental data from a bearing vibration control test rig. An accelerometer captures the signal from the bearing outer ring then it is processed using PCI-4451 National Instruments data acquisition board and LabVIEW software. To analyze the peak value of the vibration signals during faults, the following 0.5, 1-and 2-mm defect size were undertaken. Through real-time experimentation the minimum and maximum range of vibration amplitude values were observed by varying the defect counts as single and multi-nature basis on three zones like inner, outer race and ball of the bearings. Its experimental numerical results reveal that of ball bearing without defects holds values between 10 mV to 16 mV and it also confirms that the ball defects hold higher amplitude vibration on comparison with defects on the inner and outer race vibration signals.

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A smart‐integrated IoT module for intelligent transportation in oil industry

Cited by 32 publications

References 24 publications

Towards Supply Chain Visibility Using Internet of Things: A Dyadic Analysis Review

Towards Supply Chain Visibility Using Internet of Things: A Dyadic Analysis Review

Wireless network upgraded with artificial intelligence on the data aggregation towards the smart internet applications

Vibration Signals Based Bearing Defects Identification Through Online Monitoring Using LABVIEW

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