"Smart network" infrastructure for the MBARI ocean observing system

O’Reilly, Thomas C.; Edgington, D.R.; Davis, D.; Henthorn, R.; McCann, Mike; Meese, T.; Radochonski, W.; Risi, M.; Román, Bessie Roxana Para Escoto; Schramm, R.

doi:10.1109/oceans.2001.968294

Cited by 16 publications

(7 citation statements)

References 9 publications

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“…In order to make this possible, prediction algorithms should be produced and integrated within the system. Conventional infrastructure networks are composed of assets not communicating each other and have a limited control on operational functionalities [24].…”

Section: Smart Sensing Systemsmentioning

confidence: 99%

An approach to the development of an advanced solution for smart monitoring applications

Pignatelli¹,

Scaffa²,

Pignatelli³

et al. 2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

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According to the International Energy Agency (IEA) Europe will invest in the future years for the renewal of the electrical system, from generation to transmission and distribution. Directive 2009/72/EC pushes Member States to deploy Smart Grids and Smart Metering systems, linking this development to the evolution of cities and confined environments in Smart environments, traditionally named as Smart Cities and Smart Buildings. Within this framework, connections and exchange of data increase, and the need for data acquisition, processing and management become an extremely important added value to the community.In this paper the proposal for the realization of a new versatile and cost-effective system for smart metering applications is presented. Such a system will have the potential to be a game changer in the current scenario of remote monitoring and management of complex infrastructures, with benefits both on energy efficiency and environmental impact as well as economic efficiency and maintenance management, exploiting technologies which are still underused in this sector towards smarter ICT solutions. Results show that there is the opportunity to realize a system that offers an innovative and effective solution with unique technical features. Future developments will be the construction and validation of the system basing on field testing.

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Section: Smart Sensing Systemsmentioning

confidence: 99%

An approach to the development of an advanced solution for smart monitoring applications

Pignatelli¹,

Scaffa²,

Pignatelli³

et al. 2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

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“…limited bandwidth [14]. One kind of such detectors are autonomous underwater vehicles (AUV), a kind of robot travelling underwater and measuring data.…”

Section: Iii1 Low Data Ratesmentioning

confidence: 99%

Grid Technologies for High Throughput Data Acquisition

Sutter

Jejkal²,

Stotzka³

et al. 2009

CMST

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Abstract:The Grid is an upcoming technology, providing access to an unimaginable amount of storage and computation resources. In the final stage of the Grid nearly every computer worldwide offers its free capacities to the Grid, which gives access to the resources as simple as getting electricity from a power outlet. As process data processing has very high resource demands, growing up rapidly from project to project, the Grid offers the capabilities to fulfil the requirements for upcoming process data processing projects. This paper evaluates the already existing remote control software packages to be used in process data processing projects, explains the demands for developing a high throughput data acquisition system with the introduced requirements, shows the advantages of using Grid technologies and proposes an architecture for developing such a system. Key words: Data Acquisition, Instrumentation, Grid, Computation CMST 15(1) 105-115 (2009) DOI:10.12921/cmst.2009.15.01.105-115 M. Sutter, T. Jejkal, R. Stotzka, V. Hartmann, M. Hardt and H. Gemmeke 106 II. FUNDAMENTALSThis section introduces the existing technologies for data acquisition, as well as the requirements to develop a high throughput data acquisition system for process data processing sensors and already existing remote control software packages to communicate with various types of sensors. II.1. Data Acquisition TechniquesA data acquisition system is a combination of several technologies to measure data about physical properties of the environment. The physical properties are observed to analyse the data, to increase the knowledge of the properties and how they interact with other properties [5]. For observing a data acquisition system consists of hardand software components. The hardware components are sensors for measuring the data, e.g. the temperature of a room for a very simple data acquisition system and are assembled with other electronic components and cables. The software components of data acquisition systems are for the communication and controlling of the hardware, like starting and stopping and for retrieving and storing the measured data, as well as the analysis of the data -if it is a requirement of the data acquisition system. The communication with the hardware components normally includes the implementation of a special protocol to access the hardware. Fig. 1. The schematic design of a data acquisition system. The sensor is measuring the physical properties. The input data is digitalized with an analogue digital converter (ADC) and buffered within the data acquisition systemThere are several methods to measure the data with data acquisition systems:• Continuous measurement systems directly start to measure data after startup. Typical for them is also that they normally need no interaction from an operator, as they run autonomously -even if the measurement takes several weeks up to several months. To prevent the hardware of a continuous measuring system from damage, control technologies are used. As such systems produce da...

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“…A partial list of its functions would include: monitoring and control of power to the instruments; instrument ground fault detection; bi-directional transmission of data to/from instruments; storage and forwarding of instrument metadata to users or data repositories as required; acquisition and processing of accurate, synoptic time from the infrastructure for use in an instrument; provision to receive instrument reset or parameter change commands from shore; receipt and handling of broadcast notification of observatory state changes (e.g., outages); provision for instrument access control; and provision for instrument oversight for national security. The IIS could incorporate a standard science instrument interface that is included in instruments plugged into the observatory analogous to the puck concept introduced by O'Reilly et al (2001). This would simplify interfacing of diverse sensors by providing a range of standard voltages (e.g., 5, 12, 24, and 48 V), both serial (RS232/RS422) and Ethernet instrument communications, and high accuracy time distribution.…”

Section: A Generic Cabled Ocean Observatorymentioning

confidence: 99%

Cabled Ocean Observatory Systems

Chave¹,

Waterworth²,

Maffei³

et al. 2004

mar technol soc j

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Future studies of episodic processes in the ocean and earth will require new tools to complement traditional, ship-based, expeditionary science. This will be enabled through the construction of innovative facilities called ocean observatories which provide unprecedented amounts of power and two-way bandwidth to access and control instrument networks in the oceans. The most capable ocean observatories are designed around a submarine fiber optic/power cable connecting one or more seafloor science nodes to the terrestrial power grid and communications backhaul. This paper defines the top level requirements that drive cabled observatory design and the system engineering environment within which a scientifically-capable infrastructure can be implemented. Commercial high reliability submarine telecommunication technologies which will be crucial in the design of long term cabled observatories are then reviewed. The top level architecture of a generic cabled observatory, describing the main subsystems comprising the whole and defining technological approaches to their engineering, is then described, along with some example design choices and tradeoff studies.

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"Smart network" infrastructure for the MBARI ocean observing system

Cited by 16 publications

References 9 publications

An approach to the development of an advanced solution for smart monitoring applications

An approach to the development of an advanced solution for smart monitoring applications

Grid Technologies for High Throughput Data Acquisition

Cabled Ocean Observatory Systems

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