How it works:

The system combines NB-IoT technology and ultrasonic detection technology. It first uses an ultrasonic transducer to collect traffic data, and sends it to the cloud platform through NB-IoT. The cloud platform stores and analyzes the traffic data. When abnormal traffic data occurs, it determines the leak point and sends an alarm to the client.

What makes it innovative:

At present, the principle of water leakage detection equipment on the market is mainly the sound leakage detection method, the geological radar system leak detection method, the infrared photography method, etc. The common disadvantages of these instruments are that they are expensive and complicated to operate, and it is these drawbacks that lead to water leakage detection equipment. Cannot be well popularized, resulting in a large amount of water waste every year. In contrast, the project based on the cloud platform NB-IOT pipeline leak detection network, combined with artificial intelligence (AI), will be through the cloud platform and based on NB-IOT technology ultrasonic automatic detection pipeline leakage terminal equipment to collect data, through the big data analysis for the diagnosis of water leakage points, saving manpower and cost while improving the accuracy of water leakage detection, not only that the successful development of this product will have broad application The prospects will promote the development of smart cities and the digital earth, and drive the development of related industrial chains.

How it would be produced and its potential impact around the globe.

The system front-end equipment uses the MSP430 low-power chip as the main control chip to achieve low power consumption requirements. The flow rate is detected by using an ultrasonic transducer as a sensor, and the flow rate is calculated by the principle of the time difference method, . Traffic data is sent to the cloud through the NB-IoT module.The background control device implements the functions of cloud traffic data management and water leakage diagnosis, and provides an API interface for client access. The cloud platform server is built using Node.js, and the data storage uses the MySQL database. Leakage diagnosis is performed by comparing the flow data at both ends of the pipe. The client includes a web client and an Android APP. The client can request traffic data for the current day and draw a display chart to alert you when a leak occurs.

The background control device implements the functions of cloud traffic data management and water leakage diagnosis, and provides an API interface for client access. The cloud platform server is built using Node.js, and the data storage uses the MySQL database. Leakage diagnosis is performed by comparing the flow data at both ends of the pipe. The client includes a web client and an Android APP. The client can request traffic data for the current day and draw a display chart to alert you when a leak occurs.

 

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