DETERMINATION OF SPECIFIC INDICATORS OF THE COST OF CONSTRUCTION AND OPERATION OF PIPELINES OF EFFECTIVE WATER SUPPLY SYSTEMS

Abstract

This paper considers several of the approaches to determine the unit cost of constructing pipelines in various parts of the studied area of construction when modeling water supply networks that are effective from the point of view of building and operation.

The result of the simulation is the optimized geometric shape of the discrete image of the piping network of the water supply system, the location of the branching nodes of which are determined by solving a system of nonlinear equations. The main complication in the formation of the corresponding equations, as well as in the modeling process as a whole, is the determination of specific indicators of the economic efficiency of a particular location of each of the pipeline sections. This is due to the fact that at different sites of the studied area of development, as a rule, various indicators of the cost of construction and operation of water supply networks are set. At the same time, some of the segments of pipelines can extend immediately to several sections of this area, which means that the above indicator will change over the entire length of the corresponding sections.

It is proposed to apply a discrete or integral approach, providing for the determination of averaged values of special objective functions that are introduced for an objective assessment of the economic efficiency of the construction and maintenance of the respective systems, on each straight section of pipelines. Such evaluation functions allow you to display the uneven level of labor costs in the territory covered by the study area of modeling. The optimization problem itself is proposed to be solved by systemic tools of applied discrete geometry.

This task is very important, because its solution allows even at the stage of design work to significantly reduce further construction and maintenance costs for water supply networks.

Keywords: effective water supply systems, target functions, discrete geometric modeling.