Proprietary IoT Solution and Web Dashboard for monitoring HVAC systems
About the project
- CompanyConfidential
- ServicesSystem architecture
Front-end Development
Back-end Development
Technical Project Management
Quality Assurance
Requirements Engineering - IndustrySmart maintenance
- Duration7+ months
- LocationLuxembourg
- MethodologyAgile/SCRUM
- Applied technologiesNode.js
Nest.js
Python
React.js
AWS
Details about the project
Our partner develops smart solutions for monitoring the HVAC systems in commercial buildings and detecting anomalies. The platform supports property managers in achieving higher energy efficiency, user comfort and fault-free building services using advanced data analytics and machine learning.
The developed system is finding anomalies and faults in the equipment of buildings. First, the software solution collects and digitizes the available data. Then it performs automated fault detection and diagnostics (FDD) for the technical equipment. Finally, all relevant data is displayed to the users on a Web Dashboard in the form of tables and graphical charts. Based on the received information, the platform gives insights and actionable recommendations for enhanced equipment performance.
We've built the frontend part of the systems from scratch. In the backend we created a scalable cloud architecture and implemented integration with the buildings and the data collection.
The developed system is finding anomalies and faults in the equipment of buildings. First, the software solution collects and digitizes the available data. Then it performs automated fault detection and diagnostics (FDD) for the technical equipment. Finally, all relevant data is displayed to the users on a Web Dashboard in the form of tables and graphical charts. Based on the received information, the platform gives insights and actionable recommendations for enhanced equipment performance.
We've built the frontend part of the systems from scratch. In the backend we created a scalable cloud architecture and implemented integration with the buildings and the data collection.