Abstract
Abstract. Power lines are an important infrastructure and need special attention. Their functionality is of high importance for our life. Their monitoring is important to guarantee their sustainable operation. It is done mostly by aerial survey using different technologies. In addition to standard setups, e.g. LiDAR and high resolution RGB cameras, often UV cameras, so called Corona Cameras, are used to detect unwanted discharges. In many cases this UV cameras are combined along with RGB cameras with a similar field of view in order to superimpose the detected UV signals onto a visual image of the inspected objects. Discharges at power lines indicate findings that should be monitored with such additional sensors like thermal or high resolution mapping cameras then.The use of Corona-Cameras for such inspection work needs several steps of calibration, co registering and direct referencing methods in order to get them in a good georeference to the other sensors.
Highlights
Power lines belong to the most important infrastructure especially in the industrialized urban world
A typical setup is the use of LiDAR that nicely maps the power line and detects vegetation issues due to first and last pulse analytics
To measure the difference at certain points the calibration LED-targets can be placed to different positions and their pixel positions be measured in the images before and after the calibration process
Summary
Power lines belong to the most important infrastructure especially in the industrialized urban world. Every year thousands of km are monitored mainly with helicopters either by manual inspections with observers and/or combined with sensors that capture data for documentation or analytics on the captured datasets. A typical setup is the use of LiDAR that nicely maps the power line and detects vegetation issues due to first and last pulse analytics. Many sensors deliver huge datasets which enter automated feature and issue detection algorithms using AI Techniques. Beside LiDAR and high resolution imaging specific sensors are used for detecting anomalies. Discharges in the UV band indicate issues on the infrastructure. Their detection guides the automated algorithms to analyze on the other data what the problem is
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