Proactive Decision Making Based IoT Framework for an Oil Pipeline Transportation System

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

doi:10.1007/978-3-030-24643-3_12

Cited by 15 publications

(10 citation statements)

References 10 publications

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“…A smart IoT module is supported with infrastructure mode, where a single device acts as both client and access point for data communication in wireless network authenticated by either WPA/WPA2 (wireless protected access) security standards. 8,28,29 WPA aims to offer maximum authentication by applying the TKIP (temporal key integrity protocol) encryption technique, which is more potent than the cyclic redundancy check (CRC), whereas WPA2 provides more secured communication than WPA by its AES (advanced encryption standard) encryption with Counter Mode with Cipher Block Chaining Message Authentication Code Protocol (CCMP) protocol mainly involved in WiMax technology. 30 It provides 256-bit key for both encryption and decryption rather than 128-bit key in WAP to ensure better message integrity during data transmission in the 802.11 WLAN network.…”

Section: Authentication and Encryptionmentioning

confidence: 99%

“…In spite of being received regulated sensor data from oil field stations, its main emergency shutoff activation is included in this IoT monitoring and control window rather than activating through SCADA. 29,31 In IoT monitoring and control point of view, SCADA with a controller is considered as local intelligence. Hence, it is indicated as enabled state and emergency shutoff as in not activated state by default.…”

Section: Iot-based Monitoring and Control Web Interface Windowmentioning

confidence: 99%

Section: Design and Fabrication Of Smart Iot Modulementioning

confidence: 99%

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

Priyanka

Chenniappan

Thangavel

2020

Int J Numerical Modelling

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Apart from being fundamental in industry 4.0, IoT also extends its capability to smart transportation in an oil pipeline system. The initiation of the Internet of Things has witnessed incredible success in the application of wireless sensor networks and ubiquitous computing for various smart-control applications. In the oil industry, for smooth, accident-less, long-range pipeline transportation, data communication through wireless sensor networks plays a predominant role in IoT. For the prominent integration with the internet, it is essential to fabricate a middleware by overcoming the shortcomings like interoperability and heterogeneity. But yet there is no compact, integrated IoT module with power and energy-efficient configuration to take the modern technology to the next level of innovation of wireless network systems with embedded sensors in the oil industry. Hence, this paper presents a novel, unique-integrated compact, smart IoT module that aims at reducing costs associated with commercial data loggers and sensing modules, requiring control and data storage that need proprietary software. Other usual drawbacks of commercial solutions are limited sensor connections with low expansion flexibility and maintenance restricted to the manufacturer and long cable communication distances. The proposed integrated smart IoT module operation relies on free software, allowing online distribution and communication with a cloud server wirelessly via Wi-Fi through message queuing telemetry transport (MQTT) and hypertext transfer protocol (HTTP) for efficient data communication. A secured highlevel engineering web page called Web Monitor was developed for online data analysis with real-time monitoring and control to afford intelligent transportation in oil pipelines. Further, in this work, the real-time validation of the proposed smart IoT module performance in the oil pipeline during abnormal circumstances is also provided. Through this integrated IoT module, the entire oil pipeline network with each substation can be interconnected and controlled beneficial with its intelligence, low cost, and portability.

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Section: Authentication and Encryptionmentioning

confidence: 99%

Section: Iot-based Monitoring and Control Web Interface Windowmentioning

confidence: 99%

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

Priyanka

Chenniappan

Thangavel

2020

Int J Numerical Modelling

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“…Actual market conditions are compatible with small/medium batch manufacturing, due to strong competition and dynamic market behavior [10,11]. In these conditions, robotic production setups exhibit the best "cost per unit" performance if compared with manual work and hard automated setups is shown in Fig.1.…”

Section: Introductionmentioning

confidence: 97%

Design and Fabrication of 3 Axis Welding Robot

Pratheep¹,

Priyanka²,

Raja³

2019

IJITEE

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Robot is a machine that collects the information about the environment using some sensors and makes a decision automatically. People prefer it to use different field, such as industry, some dangerous jobs including radioactive effects. In this point, robots are regarded as a server. They can be managed easily and provides many advantages. A robot arm is known manipulator. It is composed of a set of joints separated in space by the arm links. The joints are where the motion in the arm occurs. In basic, a robot arm Consists of the parts: base, shoulder, wrist and end effector. The base is the basic part over the arm, it may be fix or active. The joint is flexible and joins two separated links. The link is fix and supports the wrist. The last part is an end effector. The end effector is used to hold. Vibration is the physical movement or oscillation of a mechanical part about a reference position. The Static analysis is not difficult to analyses. It is solved by analytical method.

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“…After analyzing various pre and post-treatment techniques with potassium permanganate can leads further to achieve the desired removal rate with minimal preparation standards [5]. The desulfurization process using flue gas as the main constituents methodology is the most effective technique to be implemented in many industrial problems to sort out the removing process of nitrogen compounds [6][7][8][9]. In the techniques, absorbents are considered as the solvent rather than the solid by pointing sodium chloride or hydrogen peroxide or potassium combined constituents [10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Design and Experimental Investigations on NOx Emission Control Using FOCDM (Fractional-Order-Based Coefficient Diagram Method)-PIλDµ Controller

Chennippan¹,

Priyanka²,

Thangavel³

et al. 2020

JESA

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This paper aims to explore experimental studies on the NOx removal process by using pilot plant packed column experimental hardware. Physical modeling based on chemical absorption equations is used to estimate the diameter concerning the height and L/G ratio. Hydrogen peroxide is used as the additive for achieving high NOx removal efficiency. The absorbent entering into the packed column has been controlled by varying its flow rate through the fractional order controller. The FOCDM-PIλDµ controller tuning parameters such as KP, τI, τD are determined using CDM (Coefficient Diagram Method) PID control strategy and the additional parameters of FOCDM-PIλDµ controller such as λ and µ are determined based on the PSO algorithm. The comparative analysis is performed with classical controllers like ZN-PID along with the CDM-PID controllers.

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Proactive Decision Making Based IoT Framework for an Oil Pipeline Transportation System

Cited by 15 publications

References 10 publications

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

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

Design and Fabrication of 3 Axis Welding Robot

Design and Experimental Investigations on NOx Emission Control Using FOCDM (Fractional-Order-Based Coefficient Diagram Method)-PIλDµ Controller

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