Optimization of Working Space in the Cabin of Rapid Intervention Fire Fighting Truck

Import 29/09/2010Diplomová práce se zabývá určením pracovního prostoru rukou v požárním automobilu pro sedícího hasiče. Na počátku práce jsou rozebrány podmínkami, které ovlivňují pracovní prostředí člověka a jak jej mohou negativně ovlivňovat. Poté je věnována pozornost parametrům lidského těla a také pracovnímu prostředí hasiče, ve kterém nejčastěji provádí svou činnost. Následně jsou již vybrány antropometrické parametry, provedeno měření a vyhodnocen tento rozsáhlý statistický soubor. Na základě těchto zpracovaných dat je již možno zobrazit optimální pracovní prostor pro ruce hasiče.Thesis deals with determination of workplace for arms in fire fighting truck for sitting fireman. At the beginning of work are taken into parts conditions, that affect man working environment and how they may negatively affect it. After it is devoted attention to parameters of the human bodies as well as fireman working environment, in which he most often does his activity. Subsequently are chosen anthropometric characteristics, metering is effected and teamed this extensive statistical set. On the basis of these processed data it is possible to display optimum working room for fireman hands.Prezenční030 - Katedra požární ochrany a ochrany obyvatelstvavelmi dobř

Protective suits usable by the Fire and Rescue Service in case of B-agent hazard

Import 12/11/2008nicPrezenční030 - Katedra požární ochrany a ochrany obyvatelstv

Pilot Study on Predictive Traits of Fresh Maize Hybrids for Estimating Milk and Biogas Production

Farmers need information on which maize hybrid is best and under what conditions. They demand that this information be clear, simple and easily understood. This study aims to estimate the potential for milk production (MPP) and the biochemical methane potential (BMP) production from fresh maize hybrids. Using these indicators from fresh maize, information on the differences between hybrids can be effectively obtained, albeit with some of the shortcomings of this proposed method. Samples of fresh maize plants (n = 384) from four hybrids were evaluated at two locations over four consecutive years (from 2018 to 2021). The dry matter content, averaged across all hybrids, all years and both locations, was 371 ± 42.3 g.kg−1. The colder and wetter the year, the significantly higher the starch content, lower the amylase-treated neutral detergent fibre content (aNDF) and lower the crude protein (CP), which was reflected in lower BMP. Weather did not significantly affect the net energy of lactation (NEL) or MPP values. The location significantly affected all monitored indicators, except BMP. The earlier the hybrid was at harvest time, the lower the NEL and MPP but the higher BMP contents were. This study is preliminary and must be repeated with more hybrids and under more different conditions