Development of Autonomous Snow Removal Robot for Reducing Burden of Snow Removal Work in Elderly Household

The main principle of the strategy for the complex improvement of the functioning of northern cities in winter, including their infrastructure development, is a comprehensive solution of the problem of industrial-scale snow-mass collection, removal and utilization at different areas of urban roadway networks. For its implementation in the capital of Russia, “MosvodokanalNIIproject” JSC developed in 2002 the Snow Removal Master Plan for the city of Moscow. The meteorological conditions in the city, which have changed considerably in the recent years, including the changes in the snow-cover depth and in the road-surface areas to be cleaned, as well as emerging of new technologies for the cleaning of urban streets, yards and sidewalks and some new types of deicing agents, resulted in the necessity to update the above-mentioned Snow Removal Master Plan developed for the city of Moscow. Efficient application of deicing agents is of special importance for its updating in the context of the environmental safety of the city in a winter period. The article considers the results of the implementation of the updated Snow Removal Master Plan and contains some proposals concerning snow removal under the conditions of extreme snowfalls.

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Life cycle assessment of heated airfield pavement system for snow removal

10.31274/etd-180810-4290 ◽

2015 ◽

Author(s):

Weibin Shen

Keyword(s):

Life Cycle Assessment ◽

Life Cycle ◽

Snow Removal

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RATIONALITY OF TRADITIONAL SNOW REMOVAL SYSTEM OF TOWNHOUSE WITH GANGI AND ITS CHANGE IN QUALITY AFTER THE MECHANICAL REMOVAL IN TAKADA

Journal of Architecture and Planning (Transactions of AIJ) ◽

10.3130/aija.84.2047 ◽

2019 ◽

Vol 84 (764) ◽

pp. 2047-2053

Author(s):

Hiroyasu KURONO ◽

Shigetomo KIKUCHI

Keyword(s):

Snow Removal ◽

Mechanical Removal ◽

Removal System

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Modeling the Snow Deposit Process on the Highways in the Flowvision Software

НАУЧНЫЙ ЖУРНАЛ СТРОИТЕЛЬСТВА И АРХИТЕКТУРЫ ◽

10.36622/vstu.2020.58.2.006 ◽

2020 ◽

pp. 72-83

Author(s):

Т. В. Самодурова ◽

О. В. Гладышева ◽

Н. Ю. Алимова ◽

Е. А. Бончева

Keyword(s):

Hydrodynamic Model ◽

Geometric Model ◽

Information Resources ◽

Road Maintenance ◽

Snow Removal ◽

Experimental Section ◽

Deposit Modeling ◽

Winter Road ◽

Highway Embankment ◽

Winter Road Maintenance

Постановка задачи. Рассмотрена задача моделирования отложения снега во время метелей на автомагистралях с барьерными ограждениями в программе FlowVision . Результаты. В качестве опытного участка рассмотрен участок автомагистрали, проходящий в насыпи. Создана геометрическая модель участка автомагистрали. Обоснованы информационные ресурсы для создания гидродинамической модели обтекания насыпи автомагистрали с барьерными ограждениями снеговетровым потоком во время метелей. Проведено моделирование процесса снегонакопления на опытном участке с использованием программного комплекса FlowVision во время метелей с различными параметрами. Выводы. Сделан вывод о возможности применения программного комплекса FlowVision для совершенствования методики назначения снегозащитных устройств и определения параметров снегоочистки при зимнем содержании автомобильных дорог. Statement of the problem. The problems of snow deposit modeling on the highways with crash barriers during blizzards in the FlowVision was discussed. Results. The highway section passing in the embankment as an experimental section has been considered. The geometric model of the highway section was created. The information resources for designing a hydrodynamic model of a snowflow stream of highway embankment with barriers during blizzard were identified. The modeling of the snow deposit process in the experimental section using the FlowVision software during blizzards with different parameters was carried out. Conclusions. It was concluded that it is possible to use the FlowVision software to improve the methodology for snow protection designing and determining snow removal parameters for winter road maintenance.

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