Implementacja projektu systemu monitorowania stanu gazociągów przesyłowych i ich otoczenia

The paper presents implementation of the design of a non-invasive system that allows periodic monitoring of the tightness of gas pipelines and the condition of their surroundings. The system consists of a measurement subsystem-a manned helicopter with an infrared spectroradiometer and a visible light camera, and an IT subsystem-a computing server with software for processing recorded data, including hyperspectral data. In terms of integrating the measurement system with the helicopter, a special suspension was built to enable safe use of the hyperspectral camera, and cables were made to enable uninterrupted data exchange between the camera and the control and measurement system installed in the helicopter cabin. The suspension was tested during flight tests in terms of vibrations transmitted from the helicopter's propulsion system to the spectroradiometer measurement system. The analysis carried out in the frequency and time domain of acceleration, velocity and displacement signals confirmed the correctness of the suspension design. In further tests, it was decided to verify the technical readiness of the measurement system. For this purpose, various flight routes were marked, taking into account the limitations of the optical path of the spectroradiometer, software was configured taking into account various data recording modes, and then flights were made over an experimental station built especially for the project, allowing the simulation of above-ground and underground methane leaks from the gas infrastructure. Multiple data recordings in the infrared and visible light ranges allowed collecting research material necessary to verify the technical readiness of the measurement system, the correct operation of the experimental station and the developed computational algorithms. The IT subsystem consisting of integrated calculation modules is currently being developed. It makes it possible to process hyperspectral data in the field of methane detection and quantification, and process visible light images in the field of classification of prohibited objects in the vicinity of gas pipelines. In the next stage, the modules intended to process the data recorded by the hyperspectral camera will be integrated into a functional IT system.