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This IoT-based facility management solution utilises sensors and advanced data collection systems to streamline operational processes, reduce costs, and improve efficiency. It addresses challenges such as real-time monitoring of consumption (water, gas, electricity, heat, compressed air), predictive maintenance, and optimised energy usage. Targeted primarily at SMEs (small and medium-sized enterprises) in manufacturing, agriculture, and the food industry, it supports multi-site management and ensures scalability. By enabling digitalisation of maintenance processes and data-driven decision-making, it fosters increased production efficiency and operational safety.
Comprehensive data monitoring: Measures various parameters such as temperature, humidity, air quality, and pressure using advanced IoT sensors. Customisable dashboards: User-friendly interfaces tailored to individual roles, offering real-time analytics and visualisations. Versatile alert systems: Configurable notifications via email, SMS, or calls. Seamless integration: Supports heterogeneous networks (GSM, LoRA, NbIoT, Wi-Fi) and existing PLC systems. Modularity: Can be expanded with additional sensors or sub-meters as needs evolve. Cloud or on-premise deployment: Flexible data storage options with secure APIs for data export.
The solution is designed for easy integration into diverse operational environments, supporting common manufacturing technologies, equipment, and PLC-controlled systems. It is highly customisable, accommodating unique operational requirements through tailored sensor selection and system configurations. Hybrid systems ensure seamless compatibility with existing setups, while browser-based interfaces allow accessibility across devices. Its modular nature ensures adaptability and scalability, catering to both current needs and future expansions.
Support services include: Pre-implementation consultation: Detailed assessment of operational requirements to recommend optimal sensor and technology configurations. Customised system development: Tailored solutions for unique operational setups. Implementation support: Full system installation and initial setup. Training programmes: Comprehensive training sessions for users, including follow-up refresher courses. Ongoing support: Remote monitoring, maintenance services, and updates to optimise performance. Post-implementation resources: Documentation, online tutorials, and dedicated customer support for troubleshooting and queries.
Yes, the solution complies with EU environmental regulations and industry standards, focusing on sustainability through controlled energy consumption and reduced waste (e.g., paperless operations). It supports compliance with quality assurance and data security standards, leveraging cloud-based or on-premise storage aligned with GDPR. The company ensures its sensors and technologies adhere to CE marking requirements, demonstrating conformity with health, safety, and environmental protection standards applicable across the EU. Specific certifications (e.g., ISO standards) can be provided upon request.
References: Fino-Food Ltd.; Tibidado Bakery; Korona Mushroom-Industry Associatio; EcoMotive Ltd. Use case: The ""EchoEgg"" project successfully implemented a manufacturing process digitalisation solution for Ecomotive Kft, a producer of egg-based products in Bábolna, Hungary. This €100,000 EU-funded initiative, under the Horizon 2020 S3Food framework, integrated advanced sensor-based technologies to enhance production efficiency and quality assurance. The project involved upgrading existing sensor systems with new ones, including weight-measuring cells, thermometers, and consumption and speed meters. A comprehensive production monitoring system was developed to interpret and visually represent production steps and influencing factors. This solution delivered immediate results, enabling better technology discipline, reduced manual data entry, and automated efficiency calculations, streamlining quality assurance processes.
The EchoEgg digitalisation project for Ecomotive Ltd showcases the transformative impact of the Industree solution. It involved collaboration with Cubilog Ltd, a provider of sensor-based solutions for the agriculture and food sectors. The implementation addressed the production of high-quality egg-based ingredients for various food industry segments. By integrating new and existing sensors, data collection capabilities were significantly expanded. Real-time monitoring and graphical representation of production processes were achieved, allowing for precise analysis and optimisation. This led to improved efficiency, reduced resource consumption, and enhanced quality assurance. Key achievements include: Efficiency gains: Automated calculations replaced time-intensive manual methods, enabling quicker and more reliable process adjustments. Quality assurance improvements: Manual data entry was virtually eliminated, reducing errors and freeing up staff resources. Versatile application: The developed system supports broader manufacturing and operational monitoring needs. The project underscores the scalability and adaptability of the solution, which has potential use across various production environments, ensuring value creation and operational excellence.
https://industree.hu/
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