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One of our clients, a top-tier OEM in the United States, wanted to upgrade their Building Management System, a system of a Central Unit, Sensor Manager, and various Sensors, to a technically advanced version, aiming for smart building, without affecting the overall infrastructure. The upgraded version would ensure auto controlled environmental conditions, improved energy efficiency, and enhanced comfort and security.
Hardware Optimization: To upgrade the existing Hardware with new tech, without affecting the overall framework of the system
Data Management and Security: The entire premise articulates on detecting, collecting data from multiple sensors, and applying analysis that’s used to improve the workplace. With the huge amount of data Collected there are increased concerns of data storage, data breaches, and data security
Integration of IoT Devices with the Data Platform: Ingestion of the real-time data received from the IoT devices with the data platform, to obtain clean datasets ready for immediate use
After carefully assessing the use case and the environment of these spaces, VVDN proposed a solution using ZigBee. The physical range of Zigbee was wider than that of the existing technology, which made it the clear choice. This enhanced the solution further as data from a single sensor node traveled across a group before reaching the gateway, allowing the client to control and monitor the environmental conditions simultaneously.
VVDN also developed a secure Cloud-based platform that assisted in the management and control of the resources which in turn helped in Remote and Real-time monitoring of key parameters, improved overall efficiency, and automated repetitive manual tasks thereby saving time. Added benefits of this solution were complete automation of the workflows, thus drastically cutting down on operational costs and reducing manual errors allowing scalability and flexibility as per client requirement.
VVDN’s Product Development team Designed, Developed, and Tested the Hardware architecture and Mechanical ID designs. The products were tested and validated thoroughly by subjecting them to tests like RF and Calibration Testing, Thermal Testing and Battery Testing for fine-tuning these devices for their deployment in areas exposed to environmental conditions.
Protocols like the BACnet (a data communication protocol for building automation and control networks) were implemented that provided the ability of backward compatibility which in turn helped to make optimum use of the existing solution. The Heating, Ventilating and Air Conditioning (HVAC) system was deployed using various sensors and gateways like:
Sensors: Sensors like Water-leak Sensor, Temperature and Humidity Sensor, Motion Sensor, and Window and Door Sensor were deployed to gather the data which was used to control and monitor the various environmental factors inside a room.
Gateways: These sensors were connected to a Gateway situated on each floor which in turn was connected to a Central Gateway which was able to communicate with the Cloud via Ethernet, aiding in the easy transfer of data from the Sensors to the Cloud
MQTT Protocol allowed efficient communication amongst various devices. The connectivity between the various devices was determined by the requirement and implemented.
Sensors to the Gateway: The Sensors on every floor were connected through a Zigbee based network (2.4GHz) to a Gateway located on each floor.
Gateway to Central Gateway: To ensure seamless connectivity between these Gateways a Zigbee network of 900MHz was established. This countered the issue like the Loss of Connectivity and Packet Loss hence ensuring an uninterrupted data transfer between the two Gateways
Central Gateway to Cloud: The Central Gateway was connected to the Cloud Servers via a fast and robust Ethernet connection.
This ensured that the communication between all the devices worked seamlessly and uninterrupted.
For cloud compatibility, VVDN focused on:
Multi-tenancy - Containerization on the cloud server ensured a secure environment for multiple users sharing the application
Scalability - Kubernetes ensured automated deployment and scaling as per client requirements
Security - Implementing VVDN’s Cloud security tool ‘ariSta’ ensured efficient scanning networks, data and applications, vulnerability detection and remediation through consolidated reports and dashboard for easy analysis and management
Analysis of Data: The data collected was used for decision making. This process was automated through the use of AI/ML Algorithms like Relay, which could turn the system on or off based on the predictions made on the data collected. This eliminated the time loss and, the errors involved in the manual handling of these tasks
Load Balancer - Application Load Balancer based on TCP, SSL/TLS and other advanced protocols ensured flexible application management
Faults and Error Logs - Added Dashboard feature included a downloadable list of errors reported/occurred for better navigation and analysis
The Users were divided into five broad categories and had access to the system based on the hierarchy. These mainly comprised of:
With years of expertise in product development, VVDN transformed the traditional application into a cloud application with advanced features ensuring higher efficiency and decreased operational costs. This version effectively solved the latency, data storage, and security issues. The Real-Time analysis helped faster decision making and automation reduced the risk of manual errors leading to higher customer satisfaction.