IoT-Driven Workflows for Risk Management and Control of Beehives - IMT Mines Alès Accéder directement au contenu
Article Dans Une Revue Diversity Année : 2021

IoT-Driven Workflows for Risk Management and Control of Beehives

Ingred Kortbawi
  • Fonction : Auteur
  • PersonId : 1103649
Charles Yaacoub
Adib Akl
  • Fonction : Auteur
  • PersonId : 1103651
Nicolas Daclin
François Trousset
François Pfister
  • Fonction : Auteur
  • PersonId : 1103652

Résumé

The internet of things (IoT) and Industry 4.0 technologies are becoming widely used in the field of apiculture to enhance honey production and reduce colony losses using connected scales combined with additional data, such as relative humidity and internal temperature. This paper exploits beehive weight measurements and builds appropriate business rules using two instruments. The first is an IoT fixed scale installed on one hive, taking rich continuous measurements, and used as a reference. The second is a portable nomad scale communicating with a smartphone and used for the remaining hives. A key contribution will be the run and triggering of a business process model based on apicultural business rules learned from experience and system observed events. Later, the evolution of the weight of each individual hive, obtained by either measurement or inference, will be associated with a graphical workflow diagram expressed with the business process model and notation (BPMN) language, and will trigger events that inform beekeepers to initiate relevant action. Finally, the BPMN processes will be transformed into executable models for model driven decision support. This contribution improves amateur and professional user-experience for honeybee keeping and opens the door for interoperability between the suggested model and other available simulations (weather, humidity, bee colony behavior, etc.).
Fichier principal
Vignette du fichier
diversity-13-00296.pdf (4.8 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03273924 , version 1 (29-06-2021)

Identifiants

Citer

Charbel Kady, Anna Maria Chedid, Ingred Kortbawi, Charles Yaacoub, Adib Akl, et al.. IoT-Driven Workflows for Risk Management and Control of Beehives. Diversity, 2021, 13 (7), pp.296. ⟨10.3390/d13070296⟩. ⟨hal-03273924⟩
79 Consultations
165 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More