An Agent-Based Extensible Climate Control System for Sustainable Greenhouse Production
The slow adoption pace of new control strategies for sustainable greenhouse climate control by industrial growers, is mainly due to the complexity of identifying and resolving potentially conflicting climate control requirements. In this paper, we present a multi-agent-based climate control system that allows new control strategies to be adopted without any need to identify or resolve conflicts beforehand. This is achieved by representing the climate control requirements as separate agents. Identifying and solving conflicts then becomes a negotiation problem among agents sharing the same controlled environment. Negotiation is done using a novel multi-objective negotiation protocol that uses a generic algorithm to find an optimized solution within the search space. The multi-agent-based control system has been empirically evaluated in an ornamental floriculture research facility in Denmark. The evaluation showed that it is realistic to implement the climate control requirements as individual agents, thereby opening greenhouse climate control systems for integration of independently produced control strategies.
KeywordsFeature interaction Negotiation Resource contention
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- 2.Markvart, J., Kalita, S., Jørgensen, B.N., Aaslyng, J.M., Ottosen, C.O.: IntelliGrow 2.0 - a greenhouse component-based climate control system. In: Proceedings of the International Symposium on High Technology for Greenhouse System Management (2007)Google Scholar
- 5.Körner, O., Aaslyng, J.M., Andreassen, A.U., Holst, N.: Microclimate prediction for dynamic greenhouse climate control. HortScience 42(2), 272–279 (2007)Google Scholar
- 6.Armstrong, N., Robin, L., Bashar, N.: Feature Interaction as a Context Sharing Problem. In: Feature Interactions in Software and Communication Systems X (2009)Google Scholar
- 10.Kjaer, K.H., Ottosen, C.O.: Growth of Chrysanthemum in Response to Supplemental Light Provided by IrregularLight Breaks during the Night. Journal of the American Society for Horticultural Science 136, 3–9 (2011)Google Scholar
- 11.Szyperski, C.: Independently Extensible Systems - Software Engineering Potential and Challenges. In: Proceedings of the 19th Australasian Computer Science Conference (1996)Google Scholar
- 12.Goodrich, M., Stirling, W., Frost, R.: A satisficing approach to intelligent control of nonlinear systems. In: 1996 IEEE International Symposium on Intelligent Control, pp. 248–252. IEEE (September 1996)Google Scholar
- 15.Mærsk-Møller, H.M., Jørgensen, B.N.: A Software Product Line for Energy-Efficient Control of Supplementary Lighting in Greenhouses. In: The International Conference on Green Computing (2011)Google Scholar
- 16.Zambrano, A., Vera, T., Gordillo, S.E.: Solving Aspectual Semantic Conflicts in Resource Aware Systems. In: RAM-SE, pp. 79–88 (2006)Google Scholar
- 17.Liu, Y., Meier, R.: Resource-Aware Contracts for Addressing Feature Interaction in Dynamic Adaptive Systems. In: 2009 Fifth International Conference on Autonomic and Autonomous Systems. IEEE, Los Alamitos (2009)Google Scholar
- 18.Sørensen, J.C., Jørgensen, B.N.: Counter-proposal: A Multi-Agent Negotiation Protocol for Resolving Resource Contention in Open Control Systems. In: The 9th International Conference on Autonomous Agents and Multiagent Systems - Workshop 1 Agent Communication (2009)Google Scholar