Reliability Assessment of State-of-the-Art Real-Time Data Reception and Analysis System for the Indian Seas

Venkatesan, R.; Ramasundaram, Subramaniam; Sundar, R.; Vedachalam, N.; Lavanya, R.; Atmanand, M. A.

doi:10.4031/mtsj.49.3.6

Cited by 14 publications

(5 citation statements)

References 8 publications

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“…The NIOT-OOS-operated MSB are categorized into three families, which includes the meteorological ocean buoys for measuring and telemetering meteorological and sea surface parameters; the OMNI for measuring and telemetering meteorological, surface, and subsurface profiles up to 500 m water depths; and the ITBS for detecting and reporting water level changes during tsunamis. The 24/7 manned and automated NIOT-Mission Control Center receives data transmitted from the MSB, and the customized Advanced Data Reception and Analysis System (ADDRESS) software enables data analysis and dissemination of the data to decision makers and stake holders (Venkatesan et al, 2015a). The data reception architecture for the moored buoy network is shown in Figure 3.…”

Section: Figurementioning

confidence: 99%

“…The availability of the operating power supply to the NIOT-MCC is improved by using two redundant online uninterrupted power supplies, in addition to the public mains backed by generators operated with a centralized power management system. Based on the architecture, the failure rate of the NIOT-MCC data reception system is identified as 110 FIT (Venkatesan et al, 2015a). From the identified failure rates of the network, the PoF of the data transfer from NIOT-MCC to INCOIS is 4.54%.…”

Section: Figure 13mentioning

confidence: 99%

“…In order to ensure better on demand reliability than the identified requirements, the data are transmitted from NIOT-MCC to INCOIS every 1 h with an acknowledgment from the INCOIS server. A watchdog algorithm is also implemented in the supervisory workstations in the NIOT-MCC and programmed to automatically poll the redundant server's healthiness every 5 min and generate alarms to enable rapid troubleshooting (Venkatesan et al, 2015a).…”

Section: Figure 13mentioning

confidence: 99%

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Reliability Metrics From Two Decades of Indian Ocean Moored Buoy Observation Network

Venkatesan¹,

Vedachalam²,

Muthiah³

et al. 2018

mar technol soc j

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Over the past two decades, the Indian Ocean moored surface buoy observation networks have expanded in the spatiotemporal domain and technologically matured with system reliability, availability, cost optimization, and precision measurement of meteorological and oceanographic parameters as the key targets. Based on the return of experiences in the development, operation, and maintenance of the moored buoy observation networks over two decades, this paper for the first time summarizes the reliability metrics achieved by the National Institute of Ocean Technology (NIOT)-operated moored buoy networks, the healthiness monitoring interval implemented to achieve the highest level of on-demand reliability, the methodologies adopted to ensure highest possible system availability, and data returns. The tsunami buoy network with two buoys and the meteorological buoy with cyclone tracking sensors are found to have a mean time between failure of 1.27 years and 0.5 years, respectively. The identified performances provide a baseline for defining the technical improvement targets, identifying alternate technologies, incorporating redundancies, cost optimization, and maintenance planning. The approach serves as a reference for reliability assessment and integrity management of similar moored buoy ocean observation networks and for evolving standards for oceanographic systems.

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Section: Figurementioning

confidence: 99%

Section: Figure 13mentioning

confidence: 99%

Section: Figure 13mentioning

confidence: 99%

See 1 more Smart Citation

Reliability Metrics From Two Decades of Indian Ocean Moored Buoy Observation Network

Venkatesan¹,

Vedachalam²,

Muthiah³

et al. 2018

mar technol soc j

Self Cite

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“…Due to the voluminous inflow of data, the manual mode of data management, quality control (QC) mechanism and inventory management faced a lot of challenges and required high levels of human intervention. To overcome these issues, an integrated tool called the Advanced Data Reception & Analysis System (ADDRESS; Venkatesan et al 2015) was developed for the buoy system, data, inventory, cruise and operation management. While developing this tool, key areas such as ocean data management, QC methodologies, QC standards (global, climatologic and local), metadata, visualisation tools and communication systems were focused on.…”

Section: Data Management and User Outreachmentioning

confidence: 99%

Two decades of operating the Indian moored buoy network: significance and impact

Venkatesan

Lix

Reddy

et al. 2016

Journal of Operational Oceanography

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Ocean-atmosphere interactions in the North Indian Ocean play a vital role in the onset, progression and withdrawal of the Indian monsoon. This paper describes the Ocean Observation System (OOS), an operational observational programme of the Earth System Science Organization and the National Institute of Ocean Technology (ESSO-NIOT) under India's Ministry of Earth Sciences (MoES). Since 1997 it has provided oceanographic and surface meteorological data in real time for weather forecasting, climate research and several other applications. The programme focuses on understanding the phenomenon of the mean seasonal cycle of the Indian monsoon, the intra-seasonal to intra-decadal oscillations of air-sea interactions, trends that are related to tropical cyclones and the annual cycle balance in the exchange of waters between the two limbs of North Indian Ocean, i.e. the Arabian Sea and the Bay of Bengal. In situ observations are also used to develop, initialise and validate regional forecast models that provide high resolution data. There is also a growing need to understand the spatial phenomenon of oceans using satellite observations, wherein the quality of data needs to be validated and verified carefully. This paper also provides an overview of the scientific and societal impact of the Indian moored buoy network over two decades of operation. ARTICLE HISTORYHistorically, ocean surface measurements have been made via ships of opportunity, cargo vessels that sail the oceans to conduct maritime trade. These measurements were made for the safety of the ships' navigation,

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“…Inertial oscillations occur normally at the time of cyclones, and the buoy systems moored close to the travel path of these cyclones may experience the effect, and those which were reported on real time basis, and discussed. The OMNI buoy deployed in BoB at location 10° N/88° E had captured the tropical cyclone JAL in November 2010 [27].…”

Section: Inertial Oscillations and Mooring System Performance During mentioning

confidence: 99%

Design, Analysis and Installation of Offshore Instrumented Moored Data Buoy System

P.¹,

Venkatesan²,

Senthilkumar³

et al. 2015

JSOE

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This paper discusses the analysis done on the meteorological ocean buoy mooring used for monitoring the Indian seas. Based on the extreme environmental parameters experienced by the buoys, mooring loads are analyzed using offshore dynamic analysis software. The results obtained are validated with the tension recorder installed in one of the moorings, and the results are found to comply with an accuracy of better than 1%. The successful on demand performance of the mooring during major cyclones in the Bay of Bengal and the vital meteorological and oceanographic information provided by the buoy during these disastrous cyclonic events validates the mooring design, and proves the data availability for societal needs. The time critical data assimilated in the cyclone prediction models have given confidence to improve the country's weather prediction and climate modelling capabilities.

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Reliability Assessment of State-of-the-Art Real-Time Data Reception and Analysis System for the Indian Seas

Cited by 14 publications

References 8 publications

Reliability Metrics From Two Decades of Indian Ocean Moored Buoy Observation Network

Reliability Metrics From Two Decades of Indian Ocean Moored Buoy Observation Network

Two decades of operating the Indian moored buoy network: significance and impact

Design, Analysis and Installation of Offshore Instrumented Moored Data Buoy System

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