HYBRID CONCEPT OF IoT, DSS AND DW IN GEOTECHNICS AND ITS APPLICATION IN THE RESTRAINED URBAN CONDITIONS

Abstract

A hybrid theoretical and methodological concept of the Internet of Things IoT, decision support systems DSS and data storage DW i.e. Data Warehouse in
geotechnics is proposed. Its application will help deepen the scientific understanding of development of stress-strain state in foundations of buildings
and structures and obtain reference information on current state of foundation soils and engineering structures using cloud technologies of the Internet of
Things or IoT in combination with highly sensitive sensors. The concept provides for an accurate mapping of danger zones (sediment, landslides, etc.),
which, in the next stages, enables to assess destructive potential of those using a decision support system DSS. Reference information from the IoT will be
stored in the data warehouse DW (Data Warehouse), which will facilitate digital use as input DSS. At the first stage of detection of soil failures, there will
be monitoring systems, which will mainly act as a collection of information about the studied object or phenomenon on the IoT basis. The theoretical
substantiation of the DIS concept for the restrained urban conditions and dynamic impacts is based on the need to create a complex system of collection,
accumulation, processing and use of information in digital form. The system should reveal the details of stress-strain state of structures and foundation
of building, surrounding area and the building as a whole with help of appropriate indicators from precision sensors or measuring instruments, etc.,
connected by IoT. The information obtained should be automatically accumulated in the DW in the form of a database. In the next step, this data will serve
as a basis for development of various management scenarios using DSS.