Improving the Durability of Streak and Thermal Insulation of Petroleum Pipes by Using Polymeric Based Paint System

This research deals with increasing the hardening and insulating the petroleum pipes against the conditions and erosion of different environments. So, basic material of epoxy has been mixed with Ceramic Nano Zirconia reinforcement material 35 nm with the percentages (0,1,2,3,4,5) %, whereas the paint basis of broken petroleum pipes was used to paint on it, then it was cut into dimensions (2 cm. × 2 cm.) and 0.3cm high. After the paint and percentages are completed, the samples were immersed into the paint. Then, the micro-hardness was checked according to Vickers method and thermal inspection of paint, which contained (Thermal conduction, thermal flux and Thermal diffusivity), the density of the painted samples was calculated,. The results of the research indicate that the concentration (5%ZrO2) gives the best results that the hardness of this concentration reached to (92 Hv). By contrast, the thermal conduction was continued at a insulation limit (2.4 W/m.K). The thermal diffusivity was (1.16 mm2/sec.), the thermal flux reached to (70.4 w.s 1/2/m2.K) and the density at the same percentage was (4.87 g/m3). This means that there is a linear proportionality and development with increasing in the percentage of Nano Zirconia additive to epoxy.

Sensors Fusion and Multidimensional Point Cloud Analysis for Electrical Power System Inspection

Thermal inspection is a powerful tool that enables the diagnosis of several components at its early stages. One critical aspect that influences thermal inspection outputs is the infrared reflection from external sources. This situation may change the readings, demanding that an expert correctly define the camera position, which is a time consuming and expensive operation. To mitigate this problem, this work proposes an autonomous system capable of identifying infrared reflections by filtering and fusing data obtained from both stereo and thermal cameras. The process starts by acquiring readings from multiples Observation Points (OPs) where, at each OP, the system processes the 3D point cloud and thermal image by fusing them together. The result is a dense point cloud where each point has its spatial position and temperature. Considering that each point’s information is acquired from multiple poses, it is possible to generate a temperature profile of each spatial point and filter undesirable readings caused by interference and other phenomena. To deploy and test this approach, a Directional Robotic System (DRS) is mounted over a traditional human-operated service vehicle. In that way, the DRS autonomously tracks and inspects any desirable equipment as the service vehicle passes them by. To demonstrate the results, this work presents the algorithm workflow, a proof of concept, and a real application result, showing improved performance in real-life conditions.

POINT CLOUD GENERATION OF A BUILDING FROM CLOSE RANGE THERMAL IMAGES

<p><strong>Abstract.</strong> Thermal inspection of a building is a very important part of facility management. This paper presents the methodology how to capture thermal images on a case of a family house, how to process thermal images using current photogrammetric method and how to achieve point cloud where each point is enhanced by information about temperature. This enhanced point cloud could be data for BIM or GIS and could be a valuable result for facility managers where they can detect thermal leaks or anomalies. Due to the point cloud, the thermal leaks or anomalies could be easily located and described. The accuracy of the point cloud is tested by check points and the resulted point cloud is compared with point cloud gathered by a laser scanner. The last part of the paper is devoted to a discussion about the results and outputs of the photogrammetric processing of thermal images.</p>

USAGE OF PHOTOGRAMMETRIC PROCESSING OF THERMAL IMAGES FOR CIVIL ENGINEERS

<p><strong>Abstract.</strong> In climate conditions of the Czech Republic is getting more important to carry out thermal inspection during documentation and inventory of buildings. Capturing and photogrammetric processing of thermal images requires special photogrammetric approaches especially because of low thermal image resolution. Part of this paper is focused on photogrammetric processing of thermal images using different methods with different 2D and 3D results which help civil engineers and architects better interpretation of thermal imaging. Those results are presented on chosen test objects. Photogrammetric results are also analysed in terms of geometric accuracy. The importance of integration of 2D and 3D results to GIS and BIM for facility management is discussed in final part of the paper.</p>