Computer and Systems Engineering | Article | Published 2023
Currently, with the increasing demand for water resources in the Republic of Uzbekistan, the need for monitoring is becoming reasonable and necessary. In our country many conditions have been created for sustainable use of this resource. Collecting water meter data is one of the important steps towards this goal. On the whole, consumption is calculated based on the average consumption recorded in previous months causes many customer claims due to high invoices, which do not reflect the reality. In this article we have proposed a complete process-based system to automate water meter data collection. Technological we update counter data through system-based and web services platform. This system offers several services for customers and water. Of these service providers, such as consumption monitoring, water pressure detection, water consumption visualization and the level of drinking water coverage on the geographical map consists of determining the volume of water from the border area. It also provides a powerful tool to help you make the right decision. In these studies research was conducted with several reporting services. The main component of the water meter is a convolutional neural network and the model consists of reading the proposed automatic counters and comparing them with the values represented in the data set. We are in the model testing phase achieved 97% accuracy. Our system was tested through experiments and we tried to explain it based on the research of several developed countries in the world.