Статистические характеристики данных температурного мониторинга грунтовых оснований фундаментов зданий города Салехарда за 2018–2023 годы как основа для автоматизации процесса первичной обработки данных

Abstract

The Arctic today is a dynamically developing territory where the construction and operation of infrastructure are complicated by the presence of permafrost. Climatic changes and anthropogenic factors have a negative impact on their condition. In this regard, studies of the current and forecast state of permafrost in natural and anthropogenic conditions are relevant, which is necessary for the formation of plans for adaptation to climate change, design and engineering surveys work, and risk ma­nagement. Monitoring the temperature regime of soils at the base of the existing infrastructure seems to be the most obvious solution for monitoring the state of permafrost. The object of the study is the soil foundation of buildings erected on permafrost. The subject of the study is data obtained using an automated soil temperature control system for the foundations of capital construction facilities in Salekhard. For the purpose of identifying negative changes in the bearing capacity of permafrost at early stages, the task of determining a set of criteria based on the analysis of temperature monitoring data and their statistical characteristics is solved. In Salekhard wells were drilled at the base of 30 buildings to the depth of the foundation, where thermometric equipment was installed. The sensors measure the soil temperature every 3 hours and transmit it to the server for analysis. As a result, the possibility of using the amplitude of annual fluctuations in the temperature of the soil base and the capacity of the seasonal melt layer under the building to assess the effectiveness of the soil thermal stabilization system is shown. By analyzing the average and maximum temperature values in the bases of objects, it is possible to identify objects with weakened zones. A set of criteria is given for identifying objects with negative changes in the frozen base, and statistical characteristics can serve as a basis for automating the process of processing monitoring data. The information obtained on the parameters of permafrost under buildings will allow us to determine the current state of the soil foundations and predict the development of the situation in order to prevent the destruction of infrastructure.