Advanced Characterisation of a Coffee Fermenting Tank by Multi-distributed Wireless Sensors: Spatial Interpolation and Phase Space Graphs

The fermentation stage is considered to be one of the critical steps in coffee processing due to its impact on the final quality of the product. The objective of this work is to characterise the temperature gradients in a fermentation tank by multi-distributed, low-cost and autonomous wireless sensors (23 semi-passive TurboTag® radio-frequency identifier (RFID) temperature loggers). Spatial interpolation in polar coordinates and an innovative methodology based on phase space diagrams are used. A real coffee fermentation process was supervised in the Cauca region (Colombia) with sensors submerged directly in the fermenting mass, leading to a 4.6 °C temperature range within the fermentation process. Spatial interpolation shows a maximum instant radial temperature gradient of 0.1 °C/cm from the centre to the perimeter of the tank and a vertical temperature gradient of 0.25 °C/cm for sensors with equal polar coordinates. The combination of spatial interpolation and phase space graphs consistently enables the identification of five local behaviours during fermentation (hot and cold spots)

Caracterización Avanzada de Tanques de Fermentación de Café mediante una Red Multidistribuida de Sensores RFID

La fermentación de las bayas de café se considera una et apa crítica en el procesado del café debido a su impacto en la calidad final del producto. La temperatura es una de las principales variables de control que puede ser utilizada para predecir el final del proceso, teniendo en cuenta que varios autores indican que el control de esta etapa es fundamental para evitar la mala calidad de la be bida final. En la práctica, la fermentación es el paso \ud menos controlado del proceso, haciendo que los beneficiaderos operen lejos de sus condiciones óptimas en términos de costes de operación (es decir, elevados consumos de energía y agua) y de calidad del producto final. El objetivo de este trabajo es caracterizar los gradientes de temperatura que se dan en los tanques de fermentación mediante una red multi-distribuida de sensores autónomos, inalámbricos y de bajo coste (registradores de temperatura del tipo RFID, identificadores de radiofrecuencia semipasivos modelo TurboTag®).Para ello se utilizan dos metodologías: la interpolación espacial en coordenadas polares y los diagramas de espacio de fase. Se supervisaron dos fermentaciones reales de café, en El Cauca (Colombia), mediante sensores sumergidos directamente en la masa en fermentación. Los fermentadores eran tanques de plástico cubiertos, uno de ellos colocado en el interior de un almacén, permaneciendo el otro a la intemperie. El rango de variación máximo de temperatura en los tanques fue de 4,5ºC. La interpolación espacial mostró, incluso en el fermentador bajo las condiciones menos desfavorables en el interior del almacén, un gradiente radial de temperatura instantáneo de 0,1 °C/cm desde el centro hasta el perímetro del tanque y un gradiente vertical de temperatura de 0,25 °C/cm para sensores con coordenadas polares iguales. La combinación de ambas metodologías permitió la identificación consistente de los puntos calientes y fríos de ambas fermentaciones

simul+ InnovationHub: Projects (Status: 6.12.2018)

The goal of the project is to create a digital experimental field with a focus on the necessary communication and cloud infrastructures. The experimental field serves to investigate and test technologies for blanket wireless data transmission with the help of 5G in rural areas to network agricultural Enterprises and utilise data hubs. The test field is a platform and shop window with non-discriminatory access to test and demonstrate new and future digitisation applications for agricultural purposes and for innovations in rural areas. Press date: 7 February 201

Smart tanks juice level monitoring system: a case study of Raha beverages company limited Arusha, Tanzania

A Project Report in Partial Fulfilment of the Requirements for the Degree of Master’s in Embedded and Mobile Systems of the Nelson Mandela African Institution of Science and TechnologyTanzania is among the East African Countries with rapid economic development, and it is a low middle-income country. The development of industries is among the factors that contribute to the economic growth of the country. Tanzania has been developing beverages industries; however, these industries are facing a number of challenges including poor monitoring of tanks during liquid pumping from boiler tank to dilution process. This problem resulted in spilling fluids, tampered wine tests, and industrial accidents. The purpose of this project wasto develop a system that can be able to monitor juice level within the tanks and regulate the pump using voice commands through Alexa echo dot. The pump in this system was controlled by voice commands, and an ultrasonic sensor was used to sense the juice level in the tank and send data to a microcontroller, which processed the data and displayed the juice level on a Liquid Crystal Display (LCD). Once the juice level reached a threshold level, the pump was automatically turned off. The developed system successfully stopped overflows, accidents, and changes in juice flavor during the dilution process, according to major findings from testing and validation of the developed system. Existing way, however, are manual methodology, on the other hand, are not interactive and are costly. The developed system also caters to the physically impaired person, allowing them to engage in tank monitoring without difficulties. The system was created for Raha Beverage Company Limited located in Arusha, Tanzania

スマート農業のための信頼できるドキュメンテーションシステム

九州工業大学博士学位論文 学位記番号：情工博甲第373号 学位授与年月日：令和4年12月27日1 Introduction|2 Traditional Documentation|3 Blockchain-based Trust Management|4 Adopting Blockchain Method for Cocoa Farming Documentation|5 Implementation of Blockchain Concept into the Real Problem through a Simulation Case of Cocoa Production|6 Conclusion and Future Work九州工業大学令和4年

A viability plan of a unit of research in applications of new telecommunications technologies

This project is about to develop a plan to create a dedicated unit in order to monitoring of emerging technologies in the field of telecommunications

Low cost color assessment of turbid liquids using supervised learning data analysis – proof of concept

This work reports the development of a low cost in-line color sensor for turbid liquids based on the transmission and scattering phenomena of light from RGB and IR LED sources, gathering multidimensional data. Three different methodologies to discriminate color from the turbidity influence are presented as a proof of concept approach. They are based in regression models, expectation maximization Gaussian mixtures and artificial neural networks applied to labeled measurements. Each methodology presents advantages and disadvantages which will depend on the intended implementation. Regression models revealed to be best suited for standard or occasional measurements, the EM Gaussian mixture will perform better for well-known controlled range of colors and turbidities and the neural networks have easy implementation and potential suited for real-time IoT platforms.publishe

An online platform for real-time sensor data collection, visualization, and sharing

Sharing sensor data between multiple devices and users can be^challenging for naive users, and requires knowledge of programming and use of different communication channels and/or development tools, leading to non uniform solutions. This thesis proposes a system that allows users to access sensors, share sensor data and manage sensors. With this system we intent to manage devices, share sensor data, compare sensor data, and set policies to act based on rules. This thesis presents the design and implementation of the system, as well as three case studies of its use.Universidade da Madeir