| Popis: |
The article is devoted to the results of a study on the choice of a method for monitoring the water supply network in a distributed industrial area, in particular, methods for collecting data from measuring instruments for detecting water leaks. Monitoring over a large industrial area is complicated by many factors that impede the use of existing leak detection methods: complex topography of the water supply network, which makes it difficult to segment; deterioration of infrastructure, both due to aging and corrosion; heterogeneity of the material of the manufacture of pipes; large variation in pipe diameters in one pipeline system; a variety of construction, installation and repair work carried out at the production site of the enterprise; significant level of round-the-clock production noise; the presence of uncontrolled elements of the water supply network. In addition to complicating factors, it was necessary to take into account the specified limitations: a significant distance from the infrastructure; remoteness of control places from power supply networks; small amount of transmitted data; the need to install sensors in water wells, since it is impossible to guarantee the safety of elevated cabinets in a production environment. As a possible solution, we considered wireless technologies for transmitting small-volume data over long distances belonging to the class of LPWAN (Low-power wide-area network): NB-IoT (Narrow Band Internet of Things), LoRa (Long Range) and Strizh. The common advantages of the technology are high penetration and long range and low power consumption, which allows end devices to provide uninterrupted autonomous operation for up to 10 years without replacing the battery. Each technology also has additional advantages and limitations. The conclusion of the study is that to solve the problem in the given restrictions, you can use any of the technologies considered, while specifying the problem, you need to take into account additional parameters, such as the availability of network coverage in a given area, the number of sensors to be placed, the availability of the necessary devices, financial constraints. |
