Wyniki 1-3 spośród 3 dla zapytania: authorDesc:"Tomasz CIEPLAK"

Monitoring of flood embankments with the use of tomographic systems with distributed architecture DOI:10.15199/48.2018.12.37

Czytaj za darmo! »

The disaster of the flood embankment often results in large economic and social losses, as was the case in Poland during the flood in 2010. One of the main threats to the safety of the embankment is the development of filtration and erosion processes both in its body and the ground. The existing practice of monitoring and assessing the condition of flood embankments is insufficient to ensure the safety of these facilities. They are based primarily on local inspection and the implementation of geotechnical research in cross-sections spaced from each other. The basic disadvantage of traditional methods is their point (local) character. Identification of filtration and erosion processes, especially in their initial phase of development and assessment of their kinetics with these methods is usually impossible. Designing shafts due to their location, shape and material is quite complicated [19,20]. Monitoring of flood protections requires methods and systems which will have the following features: monitoring of destructive processes in real time during floods, continuous monitoring of space in the space, monitoring of early and precise detection of the destructive process, the possibility of evaluating the kinetics of the destructive process, the possibility of developing an automatic alarm system informing about the occurrence of a destructive process, a damage-resistant installation operating without a maintenance service. Data acquisition In systems based on the electrical tomography (ET) method, the data acquisition system collects measurements of the voltages generated by the electrodes [1-5,7-9, 17, 17- 25]. These types of data can be processed locally or can reach the central analytical system. It mainly depends on such factors as: the geospatial dimensions of the monitored object, the computational power of the ET device, as well as the required resolution of the reconstructed image. Traditional data collection and pro[...]

Area monitoring using the ERT method with multisensor electrodes DOI:10.15199/48.2019.01.39

Czytaj za darmo! »

Tomography is a technique that allows obtaining a cross-sectional image of the examined object on the basis of data from the measurement of a given physical value (radiation, capacity, resistance, etc.) at selected points usually lying on the edge of the tested area. The resulting measurement vector is used to reconstruct the crosssection image using appropriate algorithms. The obtained image represents the distribution of a certain feature of the examined object depending on the type of tomography used. It can be material density, concentration, electrical permittivity, conductivity, etc. Electrical tomography covers many tomographic imaging methods based on the processing of various electrical parameters [1,3,4,7,9,10,12-14]. Despite the fact that many methods have already been developed for assessing damage to flood embankments, there is no single universal tool for their diagnosis and monitoring. In this paper, a new method for testing flood embankments and landfills by means of electrical resistive tomography (ERT) was presented. For the needs of the research, a special measuring system was developed with special multisensor electrodes for depth measurements using ERT. The algorithms used for image reconstruction were based on gradient and topological methods. After minor modifications, it is possible to apply the discussed technique to solving reverse problems in electrical tomography [6, 18-23]. The combination of tomographic techniques with reconstruction algorithms allowed non-invasive and more accurate spatial assessment of seepages and damages to flood protections. Model Electric tomography including ERT enables non-invasive measurements of various types of technical objects. The i[...]

Industrial processes control with the use of a neural tomographic algorithm DOI:10.15199/48.2019.02.22

Czytaj za darmo! »

Process tomography is picking up in significance alongside innovative advancement [1], [2]. At present, a significant trend can be watched for the robotization of modern procedures, which is firmly identified with process control. The need to automate the control of innovative procedures is one of the fundamental purposes behind the dynamic improvement of IT information handling strategies [3], [4]. Simulation and experimental tests are an important condition for optimizing the control of processes carried out by liquid and suspension mixing systems that under certain circumstances can crystallize [5]. An example of such a substance is biodiesel. Common measurement tools used to quantify physicochemical processes, such as sensors and markers, are often characterized by evaluation capabilities limited to specific points. Due to the high degree of difficulty in modeling the mixing and heating processes of crystallizing substances [6], which are characterized by a distinct non- Newtonian flow, traditional Computational Fluid Dynamics models do not provide a suitable basis for dimensioning mixing and heating systems, and therefore become useless. Classical models do not take into account granulometric parameters. The method of determining the rheological properties of liquids is difficult. In addition, traditional models used to simulate the mixing and heating of multiphase systems are still inaccurate [7], [8]. This fact may lead to misinterpretations, especially with regard to modeling and simulation of mixing and heating processes of non-Newtonian liquids, viscous and loaded with foreign particles. For this reason, reliable forecasts regarding the course of such processes are virtually impossible. The above-mentioned problems are an important reason to intensify efforts to develop an effective method of monitoring and supervising liquid crystallization processes [9]. Electrical impedance tomography (EIT) is a modality with[...]

 Strona 1