The combination of Internet + industry has become more and more popular, and smart water has emerged as the times require. Smart Water perceives the running status of the urban water supply and drainage system in real time through online testing equipment such as data acquisition instruments, wireless networks, and water quality and water pressure meters, and organically integrates water management departments and water supply and drainage facilities in a visual way to form the "Smart Water Internet of Things" , and analyze and process massive water information in a timely manner to provide auxiliary decision-making suggestions. This makes water management more sophisticated.
Most successful water industry integrators started out by supplying and deploying water metering products. They have rich experience in manufacturing from traditional water meters to smart water meters integrated with IoT functions. In the past, the water meter was only used as a hardware product, and subsequent maintenance and services were costs. Today, by building a smart water meter network, integrators can develop value-added services through the collected data, which requires stepping into the field of big data and artificial intelligence from pure hardware manufacturers, which will be a great challenge for them .
Core advantages description
Today's water meter manufacturers, by building and deploying smart water meters with Internet of Things communication functions, collect flow, pressure and other indicators in real time, and detect equipment status. All these collected data are collected through cloud platforms or self-deployed servers to store.
The work of the data application layer is handed over to DataFocus. You can directly read the IoT real-time database, or extract the data into the data warehouse of DataFocus, so as to construct your own data application platform. The DataFocus data application layer includes data analysis capabilities such as reporting system, visual analysis, Ad-Hoc analysis, and intelligent insight, as well as algorithm development and integration.
The data application component of DataFocus can quickly connect to various existing business systems from the data collection and storage end. Develop data analysis applications by integrating offline databases and real-time databases into the DataFocus data warehouse, or directly connecting to real-time databases.
After integrating the data recorded by the smart water meter network and the databases of other water business systems into the big data warehouse that comes with DataFocus, a model is built through a unified data standardization specification, which lays the foundation for subsequent various data applications.
Using DataFocus' easy-to-use search-based analytics technology, integrators can quickly customize a variety of analytics and visualization services for their clients. For example, by analyzing the pressure detection data of the water meter, timely early warning of leakage or reminding the residents; by analyzing the flow data, the peak water consumption can be predicted; it can also be used to develop various regional flow, pressure, consumption, charges and other statistical reports. Formed a large-scale visualization screen for water balance analysis, comprehensive analysis of pressure and flow, leakage assessment of equipment, and analysis of production and sales difference.
DataFocus can be easily deployed, whether it is on the user's private cloud platform, Alibaba Cloud, Amazon Cloud, or Microsoft's Azure, it can be quickly deployed.
It took the lead in developing the first batch of IoT smart water meters based on NB-IOT in China. They have the most experienced hardware R&D team in China and have also developed many management software systems for the water industry. Now, they have introduced the DataFocus system to improve data analysis, visualization and data mining capabilities.
A number of large data visualization screens have been developed for users to dynamically display water consumption. It greatly reduces the difficulty of data application development and accelerates the speed of project implementation.