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The images reconstructed by electrical resistance tomography for two-phase flow with distinctive phase origins are usually blurred at the phase interface. To improve the image quality, secondary image reconstruction with Associative Markov Networks (AMNs) is presented. The initial images are reconstructed by the Landweber iteration algorithm. The obtained images are then processed using AMNs. The...
Industrial Process Tomography (IPT) methods are reviewed in brief in terms of their underlying technology, goals and their typical limitations when applied to multi-component processes, where the material distribution depends upon a range of physical or chemical states. Multi-dimensional enhancements and data fusion methods are discussed: in spatial terms where there is inhomogeneity in the distribution;...
Nodes in Wireless Sensor Networks are typically considered to be energy constrained, small in size, with little processing power and limited battery energy storage. In order to increase performance of sensor nodes in a network, either the energy of the nodes must be increased or its operational efficiency must be increased. A key operational factor is the routing protocol. Augmentation of the energy...
New developments are described that augment the recently introduced electrical sensing technology of industrial process tomography (applicable to a wide range of industrial processes) with methods for the identification of materials in the contrast-sensed distribution. Advances are set in the context of current technology, where results are typically limited intrinsically by single frequency excitation...
A novel approach to the design of smart spatially aware sensing and actuation networks is presented, which promises benefits in a wide range of applications with significantly reduced infrastructure cost, and increases in distributed functionality and capability, both at first fit and for in-service upgrade and modification. The approach is set in the context of a range of exemplars: wide area monitoring...
Spatially distributed monitoring and actuation needs and classical versus network-based solutions. The critical issues for distributed sensing systems are discussed. Spatially critical network systems offer new smart potential for distributed monitoring and actuation
The implementation of a laboratory-based ultrasound tomography system to an industrial process application is not straightforward. In the present work, a tomography system with 16 transducers has been applied to an industrial 50mm hydrocyclone to visualize its air-core size and position. Hydrocyclones are used to separate fine particles from a slurry. The efficiency of the separation process depends...
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