Smart Tunipack

Country: Spain City: A Coruña Period: 2020 - 2022

Projeto

Este projeto trata de uma colaboração entre a CrazyTechLabs e Triple Alpha, que desenvolveram a leitura de mais de 2500 variáveis por segundo, adquirindo e tornando todas elas em dados aptos para atuação de algoritmos de Inteligência Artificial, redução e alarmes. Como solução, foi gerado um painel de controle que possibilita a simulação e a atuação em múltiplas plantas de forma concorrente.

Desafio

A Hermasa, é uma das maiores e mais renomadas fabricantes de máquinas de enlatamento de pescados como atum e sardinha. Enfrentava como desafio a digitalização dos seus equipamentos para otimizá-los, reduzir tempo e também controlar o monitoramento dos equipamentos.

Resultado

Premiado pelo Tuna Awards na categoria Transition 4.0, a solução desenvolvida através do uso de computação de ponta e posterior agrupamento de dados e regras na nuvem, possui o controle que acontece de forma centralizada permitindo que as operações e todos os insights aconteçam de forma local e desconectada, caso necessário.

Hermasa is one of the largest and most renowned manufacturers of canning machines for fish like tuna and sardines. The company aimed to further digitize its equipment and sought a solution in the market to optimize them, reaching close to real-time performance, in addition to controlling and monitoring the equipment. The ideal was to create a structure that wasn't restricted to a specific location.

This is where our company came into action with proposals that could significantly enhance Hermasa's performance. Together with a company in Spain, Triple Alpha, CrazyTechLabs was the developer of the solution that not only monitors equipment data but also provides a Digital Twin in the form of simulation, monitoring, management, and remote control capabilities. The 20-month project involving teams in the USA, Spain, and Brazil concluded with an award from Tuna Awards in the Transition 4.0 category.

This project involves reading over 2500 variables per second, acquiring and transforming them into data suitable for Artificial Intelligence algorithms, reduction, and alarms. As a solution, a control panel was generated that enables simulation and operation across multiple plants concurrently.

Each machine is treated as an Internet of Things (IoT) device. Through the use of cutting-edge computing and subsequent cloud-based data clustering and rule application, control happens in a centralized manner, while allowing operations and all insights to occur locally and disconnected if necessary.

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