A Wireless Sensors Network for Monitoring the Carasau Bread Manufacturing Process

This work copes with the design and implementation of a wireless sensors network architecture to automatically and continuously monitor, for the first time, the manufacturing process of Sardinian Carasau bread. The case of a traditional bakery company facing the challenge of the Food-Industry 4.0 competitiveness is investigated. The process was analyzed to identify the most relevant variables to be monitored during the product manufacturing. Then, a heterogeneous, multi-tier wireless sensors network was designed and realized to allow the real-time control and the data collection during the critical steps of dough production, sheeting, cutting and leavening. Commercial on-the-shelf and cost-effective integrated electronics were employed, making the proposed approach of interest for many practical cases. Finally, a user-friendly interface was provided to enhance the understanding, control and to favor the process monitoring. With the wireless senors network (WSN) we designed, it is possible to monitor environmental parameters (temperature, relative humidity, gas concentrations); cinematic quantities of the belts; and, through a dedicated image processing system, the morphological characteristics of the bread before the baking. The functioning of the WSN was demonstrated and a statistical analysis was performed on the variables monitored during different seasons.

[1]  Andrea Conti,et al.  An Overview on Wireless Sensor Networks Technology and Evolution , 2009, Sensors.

[2]  M. A. Martínez-Anaya Enzymes and Bread Flavor , 1996 .

[3]  Vladimir Vujovic,et al.  Raspberry Pi as a Wireless Sensor node: Performances and constraints , 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

[4]  Sauro Pierucci,et al.  A study of the bread-baking process. I: A phenomenological model , 1993 .

[5]  M. Grosso,et al.  Influence of wheat varieties, mixing time and water content on the rheological properties of semolina doughs , 2019 .

[6]  Massimiliano Grosso,et al.  Thermogravimetric Analysis of Different Semolina Doughs: Effect of Mixing Time and Gluten Content , 2019 .

[7]  Gerhard P. Hancke,et al.  Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches , 2009, IEEE Transactions on Industrial Electronics.

[8]  Giuseppe Lo Re,et al.  Monitoring High-Quality Wine Production using Wireless Sensor Networks , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[9]  Giovanni Bitella,et al.  A Novel Low-Cost Open-Hardware Platform for Monitoring Soil Water Content and Multiple Soil-Air-Vegetation Parameters , 2014, Sensors.

[10]  A. Mondal,et al.  Bread baking – A review , 2008 .

[11]  Yanting Shen,et al.  Improvers and functional ingredients in whole wheat bread: A review of their effects on dough properties and bread quality , 2018, Trends in Food Science & Technology.

[12]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[13]  E. R. Davies,et al.  Image Processing for the Food Industry , 2000, Series in Machine Perception and Artificial Intelligence.

[14]  Mario Luca Fravolini,et al.  Optimal operation of the leavening process for a bread-making industrial plant , 2003 .

[15]  Marie-Françoise Devaux,et al.  Description of the textural appearance of bread crumb by video image analysis , 1992 .

[16]  Marco Conti,et al.  Data Management in Industry 4.0: State of the Art and Open Challenges , 2019, IEEE Access.

[17]  Narendra Singh Raghuwanshi,et al.  Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges , 2015, Comput. Electron. Agric..

[18]  Lars Michael Kristensen,et al.  An Industrial Perspective on Wireless Sensor Networks — A Survey of Requirements, Protocols, and Challenges , 2014, IEEE Communications Surveys & Tutorials.

[19]  Pilar Barreiro,et al.  A Review of Wireless Sensor Technologies and Applications in Agriculture and Food Industry: State of the Art and Current Trends , 2009, Sensors.

[20]  Luca Mesin,et al.  Improving lifetime in wireless sensor networks using neural data prediction , 2014, 2014 World Symposium on Computer Applications & Research (WSCAR).

[21]  Andrea Melis,et al.  WSN Hardware for Automotive Applications: Preliminary Results for the Case of Public Transportation , 2019 .

[22]  Marco Ehrlich,et al.  State of the Art and Future Applications of Industrial Wireless Sensor Networks , 2018 .

[23]  Volker Lohweg,et al.  Kommunikation und Bildverarbeitung in der Automation , 2020, Technologien für die intelligente Automation.

[24]  G. Tortorella,et al.  Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies , 2018, Int. J. Prod. Res..

[25]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[26]  Alessandro Massaro,et al.  Sensing and Quality Monitoring Facilities Designed for Pasta Industry Including Traceability, Image Vision and Predictive Maintenance , 2019, 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT).

[27]  Maohua Wang,et al.  Wireless sensors in agriculture and food industry — Recent development and future perspective , 2005 .

[28]  Vassili Toropov,et al.  Thermal energy management in the bread baking industry using a system modelling approach , 2013 .

[29]  Francesco Paschino,et al.  THE LEVEL OF AUTOMATION OF “CARASAU” BREAD PRODUCTION PLANTS , 2007 .

[30]  J. Aguzzi,et al.  A Review on Agri-food Supply Chain Traceability by Means of RFID Technology , 2013, Food and Bioprocess Technology.

[31]  Mariagrazia Dotoli,et al.  Hybrid Petri Nets to Re-design Low-Automated Production Processes: the Case Study of a Sardinian Bakery , 2018 .

[32]  Sauro Pierucci,et al.  Study of the bread baking process — II. Mathematical modelling , 1994 .

[33]  F. Tonelli,et al.  Food industry digitalization: from challenges and trends to opportunities and solutions , 2018 .

[34]  Teresa Riesgo,et al.  Wireless Sensor Network for Environmental Monitoring: Application in a Coffee Factory , 2012, Int. J. Distributed Sens. Networks.

[35]  M. Ruiz-Altisent,et al.  Advanced Characterisation of a Coffee Fermenting Tank by Multi-distributed Wireless Sensors: Spatial Interpolation and Phase Space Graphs , 2014, Food and Bioprocess Technology.

[36]  Mohamed S. Shehata,et al.  Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey , 2017, IEEE Communications Surveys & Tutorials.

[37]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[38]  Gerhard P. Hancke,et al.  Industrial Wireless Sensor Networks: Applications, Protocols, and Standards , 2013 .

[39]  S Rahimifard,et al.  The digitisation of food manufacturing to reduce waste - Case study of a ready meal factory. , 2019, Waste management.

[40]  Juming Tang,et al.  Analysis of bread dielectric properties using mixture equations , 2009 .

[41]  Noman Islam,et al.  A review of wireless sensors and networks' applications in agriculture , 2014, Comput. Stand. Interfaces.

[42]  Pedro Ponce,et al.  Sensing, smart and sustainable technologies for Agri-Food 4.0 , 2019, Comput. Ind..

[43]  Xinrong Li,et al.  Wireless Sensor Network System Design Using Raspberry Pi and Arduino for Environmental Monitoring Applications , 2014, FNC/MobiSPC.

[44]  Ilango Paramasivam,et al.  The Impact of Wireless Sensor Network in the Field of Precision Agriculture: A Review , 2017, Wireless Personal Communications.

[45]  Thomas Ditlev Brunø,et al.  Process for Enhancing the Production System Robustness with Sensor Data - a Food Manufacturer Case Study , 2019, APMS.

[46]  Guy Della Valle,et al.  A new method for dynamic modelling of bread dough kneading based on artificial neural network , 2012 .

[47]  Martin Connolly Sensor Networks and the Food Industry , 2005 .

[48]  Gustavo Patow,et al.  Procedural bread making , 2015, Comput. Graph..

[49]  Kay Römer,et al.  The design space of wireless sensor networks , 2004, IEEE Wireless Communications.

[50]  Zhenhua Guo,et al.  A Completed Modeling of Local Binary Pattern Operator for Texture Classification , 2010, IEEE Transactions on Image Processing.

[51]  Alessandro Fanti,et al.  Study and Design of a Wireless Sensors Network for the Optimization of Bread Manufacturing Process , 2018, 2018 26th Telecommunications Forum (TELFOR).

[52]  Subhabrata Chakraborti,et al.  Nonparametric Statistical Inference , 2011, International Encyclopedia of Statistical Science.

[53]  Choong Seon Hong,et al.  Security in wireless sensor networks: issues and challenges , 2006, 2006 8th International Conference Advanced Communication Technology.

[54]  Luca Mesin,et al.  A neural data-driven approach to increase Wireless Sensor Networks' lifetime , 2014, 2014 World Symposium on Computer Applications & Research (WSCAR).