NXTRACKER
NXTRACKER
PROJECT DATA
Project coordinator: Nextome s.r.l.
Category: Facility management, Energy optimization
Location: Bari, Conversano
Start: 09/2020 – End: 02/2022
NxTracker – Sistema di localizzazione indoor
Axis I – Investment Priority 1b – Action 1.1.3, Axis VI – Investment Priority 13i – RA 1.1 – Action 1.1.3 of National Operational Program “Imprese e Competitività” 2014-2020 FESR – Decreto Direttoriale MISE of November 20th, 2018 sector “Fabbrica intelligente” Idea75 – Prog. no. F/190081/02/X44 – € 773,631.25
Financed within the framework of the Union’s response to the COVID-19 pandemic
PROJECT DATA
Project coordinator: Nextome s.r.l.
Category: Facility management, Energy optimization
Location: Bari, Conversano
Start: 09/2020 – End: 02/2022
NxTracker – Sistema di localizzazione indoor
Axis I – Investment Priority 1b – Action 1.1.3, Axis VI – Investment Priority 13i – RA 1.1 – Action 1.1.3 of National Operational Program “Imprese e Competitività” 2014-2020 FESR – Decreto Direttoriale MISE of November 20th, 2018 sector “Fabbrica intelligente” Idea75 – Prog. no. F/190081/02/X44 – € 773,631.25
Financed within the framework of the Union’s response to the COVID-19 pandemic
RESULTS
Assets monitored in prototype validation scenarios
KPIs analyzed by Data Analytics and DSS systems
Academic papers and participations in international conferences
OBJECTIVES
This solution is ideal for the retrofit of management of existing buildings by companies operating in the Facility Management sector to reduce management costs, reduce energy consumption, improve quality of life, improve safety, simplify maintenance.
SOLUTIONS
The entire system is characterized by simplicity and speed of installation, possibility of application in existing and already inhabited and operational buildings (retrofits), maximum flexibility and high scalability.
MORE IN DEPTH
Indoor localization systems market offers great opportunities. The final goal of the NXTracker research and development project is the development of a technological solution within the market of systems for real-time localization of the workforce and of the assets with Nextome technology to evolve it towards an end-to-end hybrid solution.
Alongside the tracking of the indoor position energy parameters of the corporate assets and plants will be monitored in order to perform deterministic and predictive calculations on performance and guaranteeing users the display of useful information, real-time tracking of all assets and decision support for management.
The NX-DataAnalytics and NX-DSS modules are based on cloud paradigm to support the work of the facility manager by organizing the management of corporate assets and equipment, reducing costs and maximizing use.
The KPIs and information calculated by the NX-DataAnalytics module feed the NX-DSS decision support module which processes instant and historical information to provide support for:
- Interventions on the configuration of the assets;
- Optimization of the spaces managed by the FM;
- Notifications to operators in case of need for intervention;
- Prediction and management of user demand peaks.
Gestione integrata degli asset e funzioni operative avanzate.
NxTracker aiuta gli utenti a gestire diversi tipi di asset in un ambiente integrato:
- Gestione degli edifici
- Ottimizzazione della capienza e occupazione degli ambienti
- Tracciamento dei flussi di persone (in conformità al GDPR) per migliorare comfort e sicurezza
- Monitoraggio delle apparecchiature e gestione della manutenzione
- Monitoraggio accessi (porte, finestre)
- Consumi energetici
- Efficienza dei motori (con algoritmi di AI)
- Monitoraggio dei sistemi HVAC
- Microclima (temperatura, umidità, VOC, PM)
- Sistema di illuminazione
PUBLICATIONS, PAPERS, PRIZES
D. Costantino, E. Brescia, P.R. Massenio, P. SERAFINO, G. L. Cascella, F. Cupertino
“SuMRAS: a new SPMSM Parameter Identification in Cloud Computing Environment”
2021 IEEE Workshop on electric Machines Design, Control and Diagnosis (WEMDCD)Aprile, 2021
This paper proposes an innovative Supervised model Reference Adaptive System (SuMRAS) for the rotor flux linkage identification in Superficial Permanent Magnet Synchronous Machines (SPMSM). Estimations are updated in an autonomous way when convergence is reached. The proposed SuMRAS can be applied also to operating motors without requiring manual analysis, hence, it is suitable for large-scale implementation in cloud services. The effectiveness of the proposed approach is assessed in a real-world cloud environment through hardware-in-the-loop (HIL) experiments.
E. Brescia, D. Costantino, F. Marzo, P. R. Massenio, G. L. Cascella, D. Naso
Automated Multistep Parameter Identification of SPMSMs in Large-Scale Applications Using Cloud Computing Resources | Sensors, Vol 41
Luglio, 2021
Parameter identification of permanent magnet synchronous machines (PMSMs) represents a well-established research area. However, parameter estimation of multiple running machines in large-scale applications has not yet been investigated. In this context, a flexible and automated approach is required to minimize complexity, costs, and human interventions without requiring machine information. This paper proposes a novel identification strategy for surface PMSMs (SPMSMs), highly suitable for large-scale systems.
NEWS
2022 April, 28
Idea75, a company of the Links Management and Technology Spa Group, participated in the workshop organized by the Digital Innovation Observatories and Politecnico di Milano entitled: “Startup Workshop: Smart Bulding & Smart City”.
Under the coordination of Nextome – Indoor Positioning and Navigation System, Idea75 has contributed to the realization of the NxTracker project, focused on the research and development of a modular and integrated system for the monitoring of the affluence and energy performance of the building.
In recent years, the innovation potential of IoT solutions has grown exponentially in several areas, including #SmartBuilding and #smartcity. The benefits obtainable, both in an urban context and in the single management of a building, are linked to energy efficiency, the reduction of polluting emissions and the automated control of structures and plants.
The research conducted by Politecnico di Milano aims to monitor the frontier of innovation of these classes of solutions, through the lens of interpretation of companies active internationally.
The NxTracker solution was presented during the Pitch Workshop which hosted 11 national and international companies active in this field.
2022 October, 7
Last week, we were at the EPoSS Association Annual Forum 2022, an international event providing in-depth information and technological updates on recent developments in smartsystems.
Vincenzo F. Zeffiri, Project Manager at Idea75, presented NXTracker solution for smart management of complex structures through artificial intelligence and machine learning #technologies. The solution was developed together with Nextome – Indoor Positioning and Navigation System with the contribution of the Ministero dello Sviluppo Economico.
NxTracker is the real-time RTLS tracking system for indoortracking allowing facility management optimization and increasing user comfort and security in your building.
