Coverage of assets and components
Components inspected per 100Km
Observations detected per EHV Tower
Major categories of defects detected autonomously
Man-hours spent on analysis
- In-Line inspection of assets
- Automated defect identification and reporting of asset risk
- Reduced human exposure driving safer asset inspection practices
- Data driven decision making
DATA SOURCES LEVERAGED
- Drones, Visual Imagery, Thermal Cameras
Noctua.AI enabled the client to monitor and improve Asset Condition through transparent and faster decision making. This was possible due to increased visibility on
- Historic data for component degradation.
- Detection of defects such as corrosion, conductor Hotspots, insulator damages, and many others
Detection of illegal construction or vegetation in the RoW
Detection of missing/loose/hanging components, foreign material, and many others
Continuous proper functioning of the power systems is essential if we are to meet the supply demands. Ensuring an acceptable level of reliability in all parts of the power system, from generation to distribution, has always been a major concern for network managers.
Asset management and routine maintenance have a considerable impact on ensuring system reliability, reducing expensive crashes, and preventing shutdowns. But at the same time, manual asset inspection methods are time-consuming and prone to safety hazards.
This situation creates the need for a system that can perform autonomous, real-time assessments and report the same to management using digital solutions.
The maintenance team working for a prominent power distributor in India wanted to completely automate the inspection process for their dissemination assets like transmission lines and EHV towers. Unable to predict faults, degradations, imbalances, or track low-tension distribution assets, they intended to deploy AI technology to help with visual and sensory inspections for their assets.
The Advent of Detect
At Detect Technologies, we are building the future of industrial processes and accelerating the path towards digital transformation. After thoroughly assimilating the needs of the Power Distributor, we understood their workflows, unified their data, and completely automated their inspection processes with T-Pulse™.
T-Pulse’s LT Distribution Assistant is designed to provide continuous insights into the instantaneous condition of electrical assets across the entire distribution network. These insights are generated after a near real-time processing of data from visual, thermal, and other sensory sources, deployed at strategic intervals.
An amalgamation of patented hardware and sophisticated numeric models, T-Pulse for Asset Inspections, leveraged AI algorithms to mine out information on asset degradation to evoke optimal maintenance responses.
With T-Pulse for Asset Inspections, reliability engineers working for the distributor could seamlessly identify points of degradation, the reason for degradation like corrosion, missing/loose components, and general structural damages.
Additionally, the platform enabled:
- Web-based task management
- Live surveillance and monitoring
- Seamless logging and retrieval of historical information
- Long-term operational trends for policy formulation
- Intelligent drone deployment and management
- Component-wise breakdown of faults, maintenance recommendations and required spares.
- Unity of command over connected assets
Real-Time Power Supply Management with T-Pulse
Over 9000+ components were inspected every 100kms with 45+ issues being detected per EHV tower! T-Pulse helped the client manage the health of their entire distribution network from a single dashboard unifying all aspects of monitoring, management, and maintenance.
The organization ended up saving thousands of man-hours’ worth of inspection time thanks to 360-degree coverage provided by T-Pulse. Within a month of deployment, T-Pulse autonomously detected and reported 8 major faults that could have potentially compromised the entire system had they not been addressed preemptively.
From inspecting a single asset every few days, the management could now inspect 100s of them daily and from the convenience of their offices/homes. This in turn enhanced the overall workflow and reduced response time as all stakeholders could now decide backed by solid insights. On an average, a positive 50% decrease in average decision making time was observed.
Enhance Industrial Productivity Today
Architects of Intelligent Technology paving the path to a Transformed Industrial World of Safety and Operational Excellence