Situation awareness has been widely applied in disaster warning, equipment detection, monitoring and other scenarios. Its datafusion and analysis methods have developed in a diversified way. For the health management...
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Situation awareness has been widely applied in disaster warning, equipment detection, monitoring and other scenarios. Its datafusion and analysis methods have developed in a diversified way. For the health management of substation equipment, there is still room for improvement in order to effectively integrate information from multiple sites, analyze the operating status of multiple devices, detect and locate faults, and predict the overall situation. This paper discusses the concept of situation awareness, analyzes its role in the automation and intelligence process of substations, and summarizes the commonly used algorithms for data processing, situation evaluation, and prediction in recent years.
Counting and sizing of polydisperse airborne nanoparticles have attracted most attentions owing to increasing widespread presence of airborne engineered nanoparticles or ultrafine particles. Here we report a miniature...
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Counting and sizing of polydisperse airborne nanoparticles have attracted most attentions owing to increasing widespread presence of airborne engineered nanoparticles or ultrafine particles. Here we report a miniature aerosol sensor to detect particle size distribution of polydisperse ultrafine particles based on ion diffusion charging and electrical detection. The aerosol sensor comprises a couple of planar electrodes printed on two circuit boards assembled in parallel, where charging, precipitation and measurement sections are integrated into one chip, which can detect aerosol particle size in of 30-500 nm, number concentration in range of 5 x 10(2)-5 x 10(7) / cm(3). The average relative errors of the measured aerosol number concentration and the particle size are estimated to be 12.2% and 13.5% respectively. A novel measurement scheme is proposed to actualize a real-time detection of polydisperse particles by successively modulating the measurement voltage and deducing the particle size distribution through a smart data fusion algorithm. The effectiveness of the aerosol sensor is experimentally demonstrated via measurements of polystyrene latex (PSL) aerosol and nucleic acid aerosol, as well as sodium chloride aerosol particles.
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