Improve service life of generator, save fuel, reduce carbon footprint and optimize site visits
A Case Study of a customer in South East Asia
This customer is one of the largest independent owner and operator of shared wireless infrastructure. Their portfolio includes over 29,300 towers spread across several countries in the region.
Customer Implemented
Invendis RMS IIoT System with hardware at site
NOC application
Mobile application for field staff
Interfaced with DG Controller
Installed AC energy meter
Installed DC energy meter
Installed Battery Monitoring System
Air-condition control module
And Fuel Sensor
The Customer Gained
Visibility of all sites
Visibility of diesel generators, understood fuel efficiencies, CPH and overall performance
Hybrid switched between DG & Battery and controller aircon
Scheduled well informed roster for refuelling site visits
High Visibility, Higer Efficiency, High performance
Graphical View & Control
Invendis NOC application improves staff efficiencies with intutive user interface
Invendis system interfaces with DG controllers to capture vital parameters that are essential for proper maintenance of the DG.
Invendis fuel sensors measure
Fuel level
Fuel usage
Fuel fill
Sudden drop in fuel level (Fuel theft/ leak)
The system can be configured to raise alarms as per business requirements as well as classify them into ‘Critical’, ‘Major’ and ‘Minor’ alarms
Trouble tickets can be generated either manually or automatically.
Fault Diagnosis which enables team to apply corrective actions about maintainance cycle
Data Driven Prioritization of maintainance activities
Result
Optimise maintainance cycle and reduce revenue leakage
reveal inefficiencies in assets which can cause system unavailability, low productivity and revenue losses
Extend asset life
Energy saving by switching ON/Off Air Conditioner
Monitor battery charge and discharge using battery monitoring system
Capitalize inbuilt algorithm within IoT hardware to switch off DG and transfer load to battery
Switch back to desired power source based on battery SOC
Site visits are optimized as follows
Mobile application provides field staff comprehensive data on site performance/ alarms
If the site has multiple alarms or services, all these are automatically listed for action.
Field engineers can carry spares, indent for spares in advance
The systems captures MTTR that helps in determining SLA , Technician competence and equipment performance which willhelp the organization for overall performance improvisations