DPL Edge edge computing gateway software is based on the new generation of industrial edge computing gateway as the core, combined with the DPL IoT Cloud IOT cloud platform, to achieve intelligent remote monitoring and fault prediction of flowmeter.
DPL Edge can collect and analyze multi-dimensional sensor data such as flow, pressure, and temperature in real-time, filter and integrate data and upload it to the DPL IoT Cloud IoT cloud platform, achieving visual monitoring. Integrated with artificial intelligence algorithms, analyzed and evaluated based on a large amount of historical operating data, automatically outputting maintenance and fault prediction alerts.
Our solution improves asset reliability, minimizes risks and maintenance costs, and achieves the goal of reducing costs and increasing efficiency. Compared to manual management, DPL Edge has reduced on-site workload by 80% and advanced the warning time for sensor equipment failures related to flowmeters by over 75%.
Integrated industrial sensors: High integration with flowmeter sensors on the market, with the ability to quickly and easily connect;
Real time data collection and transmission: supports the collection and forwarding of various north-south communication protocols, real-time collection of sensor data such as flow meters, and control of communication capabilities of various devices;
AI edge computing: It has AI computing function module to realize traffic calculation, fault prediction, equipment maintenance reminder, equipment alarm push, video AI monitoring and other business scenarios;
Easy data access to the cloud: It can quickly connect to the DPL IoT Cloud IoT cloud platform and also support docking with mainstream cloud service platforms;
Security protection: Having good security protection capabilities, including data encryption, preventing illegal access, and preventing data leakage.