Application of Multiparameter Kalman Filter in Ultrasonic Water Meter

With the gradual development of the superior performance of the ultrasonic water meter, the use of the water meter gradually occupies most of the market due to its unique advantages. Through the analysis of the influencing factors of the ultrasonic water meter, the Kalman filter is used to analyze the influencing factors, and the differences are obtained. In this paper, combined with the application scope of the Kalman filter, it is introduced. Combined with the method of data fusion, the influencing factors of the ultrasonic water meter are analyzed. They are the flow rate, temperature, speed of sound, time difference, etc. The appropriate sensor is selected through the sensor selection method, and the corresponding data is obtained by the method of the corresponding sensor. We combine the data fusion method and use Kalman’s method to filter the data. By comparing the data before and after the processing, it is found that the data before and after the filtering of different influencing factors are small. Among them, the flow speed factor has the greatest impact on the accuracy of the ultrasonic water meter; temperature and sound velocity have little effect on the performance of the ultrasonic water meter. When designing an ultrasonic water meter, it is mainly necessary to consider the impact of flow rate and time difference on the performance of the ultrasonic water meter.

Smart water meter for automatic meter reading

Clean water is one of the main sectors in smart city that need well management. One of the clean water management is utilization of water meters. The smart meter is more suitable applied for smart city. Recent Smart Water Meter allows water authorities to obtain water consumption data remotely. It also provides ability to collect and record the data in real time that can be utilised for multipurpose. However, in Indonesia, the water meters are used only to measure the total volume of clean water consumption for billing purpose only using mechanical water meter and requires labour intensive manual. Currently, many researches on smart meter design have been developed. However, the smart meter only measure and record the water consumption, without ability in which customer can determine the amount of water as needed. This paper describes design and development of smart water metering with Internet of Things. Flow meter is used as a sensor of water flowing through the pipe. The ability of the proposed smart meter is not only to measure and to record the volume water consumed, but also the customer can determine the water desired and required. The volume of water measured by the smart meter is compared with the manual measurement. The result shows that the water measured manually differs slightly from smart meter measurement using water flow sensor. The maximum difference, error, is 0.03 litres. The proposed smart meter has ability to close the main valve once the determined amount of water is reached.

Cloud Integrated with LoRa Watermeter Network: A Water Expense Repository

Water management system towards the country is the biggest challenge to distribute the water to each corner of the country and keeps track of all the information to store it centrally which helps the government in analyzing and predicting the water situation of the country. For implementing the above things the crucial barriers are electrification and network spread all over the country which is a difficult task. The main purpose of this suggested work is to design a wide area network using low power consumption called the LoRa network. Using this network the resultant value of the water meter can transmit to the cloud to make a secure centralized repository system which helps the government as well as different business organizations a lot. The proposed work explains the whole architecture of the end-to-end communication system from water meter to cloud as well as defines all the components for managing end-user and applications. Due to low power consumption the whole communication system, and water meter, can be powered through solar energy through which electrification supply is not required. Hence using the explained technique we can efficiently monitor and collect information from every corner of a country efficiently to manage the consumption of drinking water which helps society a lot.

A Cost-Effective CNN-LSTM-Based Solution for Predicting Faulty Remote Water Meter Reading Devices in AMI Systems

Automatic meter infrastructure (AMI) systems using remote metering are being widely used to utilize water resources efficiently and minimize non-revenue water. We propose a convolutional neural network-long short-term memory network (CNN-LSTM)-based solution that can predict faulty remote water meter reading (RWMR) devices by analyzing approximately 2,850,000 AMI data collected from 2762 customers over 360 days in a small-sized city in South Korea. The AMI data used in this study is a challenging, highly unbalanced real-world dataset with limited features. First, we perform extensive preprocessing steps and extract meaningful features for handling this challenging dataset with limited features. Next, we select important features that have a higher influence on the classifier using a recursive feature elimination method. Finally, we apply the CNN-LSTM model for predicting faulty RWMR devices. We also propose an efficient training method for ML models to learn the unbalanced real-world AMI dataset. A cost-effective threshold for evaluating the performance of ML models is proposed by considering the mispredictions of ML models as well as the cost. Our experimental results show that an F-measure of 0.82 and MCC of 0.83 are obtained when the CNN-LSTM model is used for prediction.

Experience in introducing and operating a system of automatic water meter reading

Рассматриваются вопросы внедрения в ООО «Самарские коммунальные системы» программного комплекса автоматического дистанционного сбора показаний с приборов учета воды и последовательность выполнения работ в этом направлении. Описаны особенности существующих в настоящее время информационных технологий передачи данных, используемых в так называемых «умных» приборах учета. Отмечены проблемные моменты внедрения подобных систем в ресурсоснабжающих компаниях и преимущества, которые могут быть получены в результате использования программного комплекса. The issues of introducing a software package for automatic remote water meter reading and the workflow process in this respect are considered. The specific features of the currently existing information technologies for data transmission used in the so-called «smart» metering devices are described. The problem points of the implementation of such systems in resource supplying companies and the advantages that can be gained as a result of using the software package are noted.