Smart Energy Optimization and Automated Utility Management through Industrial Automation, Edge Computing and Machine Learning
This project develops an application for energy optimization of utilities, using industrial automation and machine learning to improve efficiency. It automates efficiency services like energy, cooling, heat, water, and gases to promote sustainable resource management. Designed for companies of all sizes, the application employs edge computing and advanced algorithms, offering real-time predictive maintenance, automated control, and resource optimization. The goal is to lower operational costs and improve system reliability.
- H2 Demand forecast
- K1 IoT
- K2 Artificial Intelligence
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Contact
Name: Sergio NavaroCompany: Mirume
Type of Organisation: SME
Country: Chile
Web: https://www.mirume.cl
Telephone: +56944677102
Brief description of my Organisation
We are a company specializing in industrial automation, focusing on the integration of Programmable Logic Controllers (PLC) along with expertise in thermodynamics, heat transfer, and data analysis. We have extensive experience in projects, consulting, manufacturing, optimization, and commissioning, which allows us to deliver tailored solutions that enhance operational efficiency and drive innovation in various industrial applications, especially in the food and beverage industry. We are committed to helping our clients achieve their automation goals through advanced technology and strategic insights