Optical Camera Communication as an Enabling Technology for Microalgae Cultivation.
Cristo Jurado-VerduVictor GuerraVicente MatusC Almeida PeñaJose RabadanPublished in: Sensors (Basel, Switzerland) (2021)
Optical Camera Communication (OCC) systems have a potential application in microalgae production plants. In this work, a proof-of-concept prototype consisting of an artificial lighting photobioreactor is proposed. This reactor optimises the culture's photosynthetic efficiency while transmitting on-off keying signals to a rolling-shutter camera. Upon reception, both signal decoding and biomass concentration sensing are performed simultaneously using image processing techniques. Moreover, the communication channel's theoretical modelling, the data rate system's performance, and the plant distribution requirements and restrictions for a production-scale facility are detailed. A case study is conducted to classify three different node arrangements in a real facility, considering node visibility, channel capacity, and space exploitation. Finally, several experiments comprising radiance evaluation and Signal-to-Noise Ratio (SNR) computation are performed at different angles of view in both indoor and outdoor environments. It is observed that the Lambertian-like emission patterns are affected by increasing concentrations, reducing the effective emission angles. Furthermore, significant differences in the SNR, up to 20 dB, perceived along the illuminated surface (centre versus border), gradually reduce as light is affected by greater dispersion. The experimental analysis in terms of scattering and selective wavelength attenuation for green (Arthrospira platensis) and brown (Rhodosorus marinus) microalgae species determines that the selected strain must be considered in the development of this system.
Keyphrases
- high speed
- anaerobic digestion
- air pollution
- lymph node
- convolutional neural network
- high resolution
- wastewater treatment
- particulate matter
- long term care
- depressive symptoms
- deep learning
- physical activity
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- electronic health record
- mental health
- mass spectrometry
- solid state
- data analysis
- big data
- machine learning
- heavy metals
- human health
- risk assessment