Abstract
The notion of the multi-agent interconnected scientific laboratory has long appealed to scientists and laboratory managers alike. However, the challenge has been the nature of the laboratory resources to be interconnected, which typically do not feature any kind of agent capability. The solution presented in this paper is that of nDrites, smart agent enablers that are integrated with laboratory resources. The unique feature of nDrites, other than that they are shipped with individual instrument types, is that they poses a generic interface at the “agent end” (with a bespoke interface at the “resource end”). As such, nDrites enable the required inter-connectivity for a Laboratory Resource Multi Agent Systems (LR-MAS). The nDrite concept is both formally defined and illustrated using two case studies, that of analytical monitoring and instrument failure prediction.
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Notes
- 1.
- 2.
The autosampler is manufactured by Teledyne CETAC Technologies, http://www.cetac.com, while the ICP-MS is manufactured by Perkin-Elmer, http://www.perkinelmer.com/.
- 3.
Note that the number of exposed nDrite actions can therefore be greater than the number of instrument actions.
- 4.
Additionally there exists an nDrite action database for an nDrite \(D_j\), denoted \(ADB_j\), which holds nDrite action objects.
- 5.
nDrite action object pairs are the objects that are saved in the nDrite action database (ADB).
- 6.
A laboratory resource action series can be processed by the nDrite as a collection. An example is sample analysis by a laboratory instrument. Single instrument actions can be: move to the next sample; send this sample for analysis; record sample results; move to next sample; etc. These basic actions maybe useful to some agents who want real time updates but other agents maybe “satisfied” to just have information on the collection of actions, once the sample analysis is complete.
- 7.
An autosampler automatically feeds a liquid sample into an ICP-MS instrument.
- 8.
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Acknowledgements
The work described in this paper was conducted as part of the “Dendrites: Enabling Instrumentation Connectivity” Innovate UK funded knowledge transfer partnership project (KTP009603).
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Atkinson, K., Coenen, F., Goddard, P., Payne, T.R., Riley, L. (2016). nDrites: Enabling Laboratory Resource Multi-agent Systems. In: Baldoni, M., Müller, J., Nunes, I., Zalila-Wenkstern, R. (eds) Engineering Multi-Agent Systems. EMAS 2016. Lecture Notes in Computer Science(), vol 10093. Springer, Cham. https://doi.org/10.1007/978-3-319-50983-9_1
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