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Enregistrement W7077904939 · doi:10.5281/zenodo.16949954

Development of a rotating frame smart beehive

2025· article· en· W7077904939 sur OpenAlexaboutno aff

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Langueen
DomaineComputer Science
ThématiqueGeochemistry and Geologic Mapping
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBeehiveBeekeepingFrame (networking)Product (mathematics)DroneVarroa

Résumé

récupéré en direct d'OpenAlex

As part of its development project implemented under the 2021-1.1.4-GYORSÍTÓSÁV grant, Okoskaptár Kft. has developed a unique Industry 4.0-based smart hive system that offers an epoch-making solution to the problem of global bee mortality. The aim of the project was to create a new beekeeping technology that supports the health and survival of bee colonies with automatic, digital tools, while reducing the use of chemicals and increasing pollination efficiency. The development resulted in a grid-ring frame, rotatable hive structure that uses a mechanical principle to prevent the reproduction of Varroa mites without the use of chemicals. An automatic feeding, water supply and ventilation system integrated into the hive ensures that bee colonies remain viable even in adverse weather conditions. The system is complemented by a digital hive scale, sound and temperature sensors, and a central control unit that monitors the condition of the hive and its environment in real time and intervenes automatically if necessary. The technology is based on a cloud-based communication platform that provides remote monitoring and data-driven decision-making for beekeepers. What makes the system unique is that it not only operates but also evaluates the condition of bee colonies, enabling timely and targeted interventions. The patents underlying the solution protect the smart hive technology internationally, meaning that Okoskaptár Kft. has exclusive rights to use the system in the US, Canada, Australia, New Zealand, and EU markets. The project has resulted in an innovative, marketable product that is also available in a SaaS model (rental scheme), enabling both small and large-scale beekeepers to switch to digital beekeeping. The development represents a significant step forward for the domestic and international beekeeping sector, not only in terms of technology, but also in terms of business and sustainability. The aim of the Okoskaptár development project was to create an intelligent, automated beehive technology that could help curb global bee mortality while bringing technological renewal to the beekeeping sector. The development was organized around two main technological pillars: (1) the design of a cylindrical hive structure with a grid ring frame and (2) the development of an automated control and communication system. During the project, technical and professional results were achieved along three main development milestones. Milestone 1 – Development of internal hive and mechanical innovations: In the first phase of the project, a prototype of the cylindrical hive was developed based on previous patents. The most important task was to construct grid ring nest frames that complied with the geometric parameters specified in the patent. Automated nest rotation was introduced into the hive structure, which disrupts the reproduction of Varroa mites through physical displacement. The modular structure of the cylindrical nest allows for the creation of a nest structure made of natural beeswax, optimized for biodynamic vibration. A further development was the combined hive gate, which ensures the controlled movement of bees and also removes mites. The hive's water and feed supply was also built in to ensure controlled operation. Milestone 2 – Development of control electronics and Industry 4.0 remote monitoring system: In the second phase, we developed microelectronic and sensor-based control for the smart hive. This system measures the weight, temperature, and humidity of the hives, records sound samples, and collects data on environmental conditions. The sensor network and control unit are capable of autonomously controlling the opening of the entrances, the rotation of the nest, heating, and feeding. The system communicates via a cloud-based platform, providing beekeepers with remote monitoring and intervention capabilities. During development, low energy consumption and up to 6 weeks of operation without external power supply were key considerations. Milestone 3 – Finalization, testing, and fine-tuning of the prototype: During the third milestone, the physical assembly of the system prototype, testing of its operation, and functional integration between the individual modules were carried out. Based on feedback from practical trials, modifications were made to the detection of mother protection, the closing protocols of the exits, the regulation of water and nutrient supply, and the stability of sensor data transmission. In addition, special attention was paid to ensuring that the bees did not build into the functional elements. In the final stage of the development process, we began preparing the marketable end product, including finalizing the device documentation, operating protocols, system architectures, and grant accounts. The project resulted in a novel beekeeping system that uses mechanical and information and communication tools to reduce the risk of bee mortality, enables chemical-free mite control, and lays the foundation for a new direction in beekeeping digitalization. Based on the experience gained during the development work and the test results, the solution is likely to attract significant interest not only on the domestic market but also on international markets.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,034

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0100,004

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,238
Écart entre enseignants0,211 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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