Abstract

The article discusses the results of research in the field of developing a system that in real time allows you to display and remotely transmit the main technological parameters of indentation of factory-made piles (values of indentation forces, number and depth of immersed piles, their displacement relative to the design position). Unlike existing analogues, it allows you to additionally guide the installation of the indentation on the dive points of piles without instrumental removal of their position on the ground. This is done by orienting the installation through a global satellite navigation system. And the position of the piles is set automatically by calculating their coordinates obtained from the project in dfx format, previously entered into the memory of the on-board computer. The constituent elements of such a system are presented, as well as the interface for setting up and displaying technological parameters. The main technological indicators of the process in remote mode can be displayed on the display of any mobile device. It is shown that the cost of such a system is 8 % of the cost of the installation of the indentation of piles. It has been established that it pays off by reducing costs with the subsequent strengthening of grillage structures. These additional works are eliminated due to the prompt elimination of identified deviations, as well as improving the accuracy of installation of piles in the design position. The article presents an algorithm for performing work when setting up the system, receiving and transmitting relevant information. It is shown which participants at different stages will be involved in these processes. In conclusion, various performance indicators for the implementation of such a system are presented. Based on the results of the timing, it is proved that its use allows to reduce the duration and labor costs of both the production of works and the preparation of executive documentation. In addition, the information obtained can be integrated into the building information model, which will allow analyzing the operational reliability indicators of pile foundations.

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