Visual network monitoring with artificial intelligence.
Maintaining the reliable and uninterrupted operation of electricity distribution networks is an extremely difficult task. Overhead networks are exposed to the whims of weather, and service providers also have to deal with deterioration of technology from time to time. This puts strain on human resources involved.
The technology we present helps in the operational process, in risk-based maintenance strategy planning, including visual detection of network element errors and malfunction. This technology makes it possible to reduce the cost of visual inspection of networks to almost one-fifth.
Inspection of objects located in the immediate vicinity of the road network
Fully automated technical processes
- We enter the objects and their exact location into the car’s on-board system.
- We plan the automated data collection based on the customer’s topological data (GIS). (HAWK CORE)
- At the same time as data collection, data processing and data evaluation are done by machine vision.
- The processed data (error dictionary-GIS mapping) are uploaded to the central system. (HAWK GRID platform).
- Object-level error and attribute list generation and, where applicable, integration (SAP, ERP, GIS, etc.)
Our data collection process
First we collect data on electricity networks. We take pictures with a drone and car-mounted cameras. Lidar, photo, corona discharge detectors, thermal imagers, with gas leak detection systems. With our satellite system we can detect vegetation data. Significant part of the data processing is already done on the on-board system supported by our well trained artificial intelligence.
The cost of data collection can be reduced by up to 50% and the time of data collection by 90%.
Data, photos, and processed results from the network are uploaded to our framework. We visualize the data, assign it to the network, and visualize it according to the customer’s needs.
This visualization can be a simple interface in the customer’s systems or a special user interface tailored to the customer.
Additional data analyzes are performed where the AI independently performs object recognitions and individual detections based on the customer’s needs.
Including but not limited to:
- Electric pole structure. (eg broken, cracked wooden column) vegetation analysis
- Existence of warning labels / indications
- Condition of insulators
- Detection of foreign equipment
Our systems can be fully integrated with the customer’s existing asset management systems. (SAP, ERP, GIS… etc.) The visual inspection of the infrastructures and the information obtained from it are evaluated with the help of AI. The efficient integration with customer systems enables advanced data analysis which can be applied to data-driven decisions for scheduled maintenance tasks and risk-based preventive maintenance.
demo car Camera set
We demonstrate the operation of our car-mounted camera system on distribution networks. During DEMO, we present the object and error recognition algorithm of our artificial intelligence-based system in a real environment. We also show how the collected data is uploaded and how we can integrate the results of the processing into the customer’s business process.
Our customers can choose an area (typically a low-voltage network accessible by car) where they can see and experience real-time object and fault assessment – through the in-car on-board system.
*applies to Europe only.
How can you request a demo?
Contact us at any of our contacts – or send us an enquiry using the details below.
fill out the form
Fill out the form and register.
CHOOSE A PLACE
Choose an area that is accessible by car.
Let’s meet and get to know our visual inspection system.
LIVE DATA COLLECTION
Try our AI supported car mounted system in real time.
demo ui DATA check
View the collected data in our cloud-based system.
Vegetation management in urban areas
Based on our experience, satellite vegetation monitoring loses its efficiency and accuracy in populated areas. For this reason, our company has developed an AI based vegetation detection related to the car mounted camera system.
The technology is certainly useful, because the management of urban vegetation cannot be achieved by cutting the entire vegetation, and, of course, in terms of the free-wire networks the arc penetration distance of the low-voltage network differs.
In the case of low-voltage networks, the safety zone is also smaller, about 1-1.5 meters, and of course the type of wire also matters. (insulated or non-insulated free wire) Thanks to depth detection and the support of our advanced algorithm, we can determine the presence and position of vegetation in relation to the network.
The inspection can also be carried out together with error detection – of course, the presence of vegetation is required, so it is typically relevant during the growing period. Therefore, the technology can be used from May to November.
The HAWK System platform covers the following comprehensive processes in this topic:
Ask for our offer and combine it with your error detection process, achieving significant cost savings.
You can find the vegetation analysis of medium and high voltage networks here:
1 EUR / pole / year
Installing the HAWK System Platform Framework has never been easier. No initial cost, only monthly service fee.
During the conclusion of the contract, the length of the network and the number of columns must be determined
The total number of the objects (column and support structure) is multiplied by 1 euro and divided by 12.
This will be the monthly service fee.
What is included?
What is not included?
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Frequently asked questions
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Our other solutions that might be interesting for you.
Electrical network inspection from the air with drone camera detection. AI supported automated flight paths and data capture.
Satellite imagery combined with AI enables you to accurately identify vegetation risks and impacts at any spot, any time.
The Rail Hawk System can detect the status of objects in the railway track environment and give signals if an object needs to be repaired.