Iotellect - Solution

Solution Group

Industry

Smart Grid

Energy and Utilities

PoC Duration

Iotellect Match

5-20 days

AI powered Low Code IoT/IIoT Platform

Improve grid reliability and safety by detecting faults like line sagging, insulation issues, and conductor damage early, reducing outages and maintenance costs. Optimize load distribution and dynamically adjust power line capacity based on environmental conditions, extending the life of the infrastructure.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Powerline Monitoring Devices

PLCs

IoT/IIoT edge gateways

Drones and UAV control systems

Strain gauges

Line monitoring sensors

Conductor temperature sensors

Power meters

Weather stations and environment sensors

Fault passage indicators

Phasor measurement units

Dynamic line rating sensors

Smart reclosers and switches

Smart capacitors

Robotic line crawlers

Transformer monitoring devices

Connect Devices

Usage of mesh network that allows data to be relayed between sensors across long distances, ideal for covering extensive powerline routes
Facilitation of remote updates to sensor firmware on power lines, ensuring the latest features and security patches without physical access
Instant alerting for abnormalities like line sag, temperature spikes, or faults, allowing for prompt maintenance actions
Processing of critical data locally at the sensor level to minimize latency, enabling immediate responses to detected faults or abnormal conditions
Transmission of data only when specific conditions are met (e.g., fault detection), optimizing bandwidth use and ensuring timely alerts
Ensuring of alternate routes for data transmission if the primary network fails, maintaining uninterrupted powerline monitoring

Connectivity and Management

Low code integration with Geographic Information Systems (GIS)
Low code integration with Energy Management Systems (EMS)
Low code integration with SCADA system
Low code integration with weather and environmental monitoring system
Low code integration with Outage Management Systems (OMS)
Low code integration with Advanced Distribution Management Systems (ADMS)

Integration

Analysis of data from sensors to quickly identify the location and type of faults (e.g., line breaks, shorts, or grounding faults), enabling faster response times and targeted repairs
Usage of real-time data on weather conditions (temperature, wind speed) and line loading to optimize the power-carrying capacity of lines dynamically, improving efficiency and reducing the risk of overheating
Identification of abnormal patterns in data, such as unusual voltage fluctuations or unexpected changes in line temperature, which could indicate faults or potential security threats
Analysis of data from multiple sensors and sources to correlate events (e.g., a sudden drop in voltage with a detected line break), providing a clearer understanding of incidents and their causes
Monitoring of vegetation growth near powerlines, helping to predict and prevent outages caused by tree branches and other foliage encroaching on powerlines
Identification of peak usage times and potential overload risks, helping manage load distribution and prevent line congestion
Forecasting of demand changes and optimize power distribution accordingly, enhancing grid stability and reducing energy losses
Detection of energy losses due to technical issues such as conductor resistance, poor connections, or equipment inefficiencies, helping to reduce operational costs and improve energy efficiency

Analytics

Visual representations of powerline conditions, such as areas with frequent faults or high loading, to prioritize maintenance and quickly address problem areas
Interactive mapping of the geographic layout of the powerline network with real-time overlays for sensor data, faults, and environmental conditions
Usage of color gradients to represent data intensity, such as areas with high powerline loading or frequent faults, providing a visual overview of the network’s performance
Display of historical data trends for parameters like load, temperature, and voltage, helping users identify patterns over time and assess the impact of environmental factors or load changes
Tracing of fault’s exact location and its potential impact on the grid, helping quickly deploy maintenance crews to the right spot
Display of KPIs such as uptime, fault frequency, and response times, helping assess the overall performance of the powerline monitoring system