Offerings
Offering
There has been a multi-fold increase in enterprise dependency on physical assets –business critical and support infrastructure alike. To stay competitive, enterprises need to effectively monitor, manage and control physical devices, edge gateways, processes and events. Edge computing architecture can mitigate latency and downtime issues for IoT use cases, but the IoT device landscape is complicated and often hard to manage. Wipro ‘s Edge Device Management for OT and IoT empowers its clients to revolutionize their operating models and innovate with a platform that allows them to manage OT systems in tandem with the entire IoT device lifecycle, providing tools for connecting, provisioning, monitoring, managing, configuring, controlling, and evolving a fleet that has widely different devices operated by a huge enterprise. With the Wipro solution, enterprises can stay ahead of the curve.
Offering
Smart building digital twin is a live digital representation (or software model) of a connected physical Building with all associated systems, sensors and equipment. It is designed to join different systems for building an intelligent building control center. It provides the centralized monitoring and management for HVAC, lighting, access control, and network infrastructure. The central / edge server aggregates all events and provides simultaneous real-time remote access to several operators. The various functionalities enabled by Digital Twin for Smart Buildings are: asset selection based on floor and category asset identification on 3D model, zoom in and zoom out for location identification RAG Status reflection on 3D Model based on asset performance mute functionality to be enabled to set the alarms off controlling bi directional asset properties benefits of digital twin for smart building: unified resource platform enhance building performance integration of accurate reality data. Increase building reliability mitigate capital project risk accurate building engineering information in operations accelerate operations turnarounds.
Offering
WSiC Building Automation is a powerful and flexible Smart Buildings Platform. Its vendor-agnostic technology and open-source interfaces based on IT standards are extremely well-suited for controlling all intelligent building systems. Working as a central component of a facility control center, WSiC acquires, interprets, routes, processes, and visualizes the data from thousands of devices and sources. Smart building digital twin is designed to join different systems for building an intelligent building control center. It provides the centralized monitoring and management for HVAC, lighting, access control, and network infrastructure. The central / edge server aggregates all events and provides simultaneous real-time remote access to several operators. The various analytics and AI functionalities that are driven by the system are: 1) Lighting Management - Floor occupancy data is derived from occupancy sensors and camera images to drive automated lighting control; 2) Power demand and supply management - Data from energy meters are collected and subjected to deep learning to derive power supply and demand analysis ; 3) Safety, Security & Surveillance management - Edge analytics are used to call out security and governance violation based on camera images and feeds ; 4) Waste management - Edge analytics are used to analyze sensor data from dustbins to drive waste management activities. ; 5) Predictive equipment maintenance - All motor sensors and interfaces to elevators relay live performance data. They are then subjected to deep learning both at edge and cloud to drive real time action and predictive maintenance.; 6) HVAC and environment management - Data from heat and environment sensors on respective floors are analyzed at edge to drive the HVAC controlling and building environment management recommendations ; 7) Smart Parking - Smart camera analytics at edge is used to report parking availability, violations and recommendations; 8) Water demand and supply management - Water flow sensors and water meters data are analyzed at edge to provide water demand and supply information and also predict water leakage and water conservation recommendations.