Journal
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Volume 30, Issue 15, Pages -Publisher
WILEY
DOI: 10.1002/cpe.4476
Keywords
biologicalmodeling; Internet of Things; microalgae cultivation; system dynamic
Funding
- University of Naples Federico II, Italy
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The production of microalgae represents a large and rapidly expanding market with several applications in the fields of food, pharmaceutics, cosmetics, and energy. Microalgae are photosynthetic aquatic microorganisms whose growth is mainly controlled by a few environmental parameters: temperature, light, pH, and nutrient availability. For this reason, monitoring and controlling such parameters is crucial for their production. At the same time, the development of mathematical models to simulate the behavior of biological systems has become a major predictive and control tool of production processes. In this paper, we present an Internet of Things (IoT) system that can couple sensor data collected directly by biotechnological cultivations with a predictive simulation model. The IoT system constitutes the core of a Decision Support System developed to help the end-user in the management of industrial production processes.
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