Smart Water Management aims to achieve comprehensive and refined management of water resources with technologies such as IoT and cloud computing, which, in turn, will help us realize the sustainability and efficient utilization of water. In building a "digital, grid-based, and intelligent" smart water management system, a large amount of data is needed, including data generated from monitoring, scheduling, operation, and management of water resources. Therefore, to develop comprehensive and high-quality data management and service solution is crucial.
1. High-speed storage and real-time computing of massive data is in demand.
Real-time monitoring of water level, water pressure, flow rate, water quality in water supply and drainage systems are required in water scenarios, where the data are collected by millisecond from multiple collecting points. At the same time, to ensure the stable operation of automatic control water pumps, valves and other equipment as well as the overall system, efficient and accurate real-time data calculation capability is particularly critical.
2. Traditional databases show weakness in data cleaning.
The actual water data collection may be disturbed by poor network, which leads to data delay, data missing and other problems, directly affecting data quality and the utilization efficiency of water resources.
3. The demand for massive data analysis is increasing.
Scenarios such as historical data analysis, water leakage analysis, abnormal situations identification in water supply and drainage systems, and corresponding warning and alarm functions, all place higher demands on massive data aggregated analysis. At the same time, to achieve comprehensive and refined water management, a complete data analysis and visualization platform is also essential.
KaiwuDB provides a lightweight deployment solution for water management. We collect and store data by deployment on the terminal, and then the terminal data is integrated and analyzed on the central server to reduce server costs. High-concurrency and high-precision data such as water level, pressure, flow, and water quality are written to KaiwuDB through industrial gateways and MQTT to achieve multi-source data aggregation.
Combined with the visualization capabilities of KaiwuDB Data Platform, the Smart Water Management Solution empowers water systems in water quality and pressure monitoring, water-meter remote transmission, water resource scheduling, water pipe network management, water metering, water GIS(Generalized Information System), water big data platforms, and integrated water management.
1. Improves data acquisition and computing capabilities.
One single KaiwuDB node can write up to 10 million data records per second, meeting the requirements of data acquisition precision at millisecond-level. The key technology of "stream computing" ensures real-time data calculation, and realizes aggregated analysis of 10 million data in millisecond. As a result, the water management system can improve its real-time leakage control and analysis capabilities, effectively reducing the leakage of the water supply network.
2. Assists decision-making with data analysis.
KaiwuDB provides a variety of mathematical functions. With complex queries and aggregated analysis, it can provide strong analysis capability. At the same time, it provides data service APIs to build water data dashboard, which can be further upgraded to a "Digital Twin Platform" for water management to assist decision-making.
3. Achieve "three-in-one" centralized and efficient data management.
KaiwuDB provides cluster deployment solutions, including data synchronization and subscription modules, as well as standard JDBC/ODBC and Restful API interfaces, empowering our customers to build data platform and achieving "three-in-one" centralized data management including data aggregation, data governance and analysis.