The aim of the project is to develop an innovative 3D tomographic defectoscope, which will be used to identify, locate and diagnose construction defects and material defects. The implementation of the project includes work on three levels: industrial research, experimental development and implementation component, which are described in Tasks 1, 2 and 3. The project focuses on the use of advanced technologies such as signal processing algorithms or machine learning and on various aspects of device development such as its design, development of embedded software, functionalities for users and appropriate protection of the device when working in industrial conditions. Expected results As a result of the project, it is expected to create a prototype 3D tomographic defectoscope responding to market needs and ready for use in real operating conditions. This device will be characterized by high quality imaging, efficiency in detecting all kinds of damage or material defects and flexibility in adapting to various work scenarios. The device will use advanced signal processing and machine learning algorithms to achieve the assumed detection accuracy. The final product will be market-ready and capable of achieving significant market share. The most important stages and ways to achieve them • Stage 1 (task 1 - industrial research): The work will focus on the analysis of technical and functional requirements, the development of the concept of a data acquisition system and signal processing algorithms. The implementation of this stage will also include the design and manufacture of a prototype of an ultrasonic 3D tomographic defectoscope. As part of the prototype, advanced measurement electronics for ultrasonic measurements will be developed and made, advanced embedded software of the device, user interface with 3D image reconstruction using advanced signal processing and machine learning algorithms, and the device housing allowing to perform measurements in industrial conditions. In addition, as part of the task, a prototype mechanical system of the measuring head will be designed and made, and laboratory tests of the prototype will be carried out. • Phase 2 (task 2 - experimental development): At this stage, activities related to the optimization of the device will be performed, based on the results of laboratory and real tests. These include design improvements, optimization of signal processing algorithms, and the development of an advanced calibration system. • Stage 3 (task 3 - implementation component): The final stage of the project includes the preparation of a 3D tomographic defectoscope for introduction to the market and its commercialization. The works that will be carried out at this stage are: preparation of documentation and training in the field of device operation, development of a promotional strategy, presentation of the device at trade fairs or establishing cooperation with trade partners. The project focuses on the development, implementation and commercialization of an innovative 3D tomographic defectoscope, used to effectively identify, locate and diagnose damage in structures and material defects. The aim of the project is to provide a high-quality imaging tool, using advanced signal processing and machine learning algorithms to achieve precise analytical results and meet market needs.
