Scheduling Monitoring System

Product Introduction

Using the cloud control system and fault analysis and processing model with independent intellectual property rights, through real-time data monitoring + intelligent sensing + video + remote signaling and remote control, we can complete the remote processing of various abnormalities of terminal equipment, work order dispatch, report export, and demand. Analysis, etc., significantly reducing station operation and maintenance costs.

Features

Model-driven prediction model based on user travel characteristics

Summarize scenarios with similar patterns

More than 30 scene models have been built

data driven

Mining the inherent laws of historical charging data

Machine learning algorithm, AI data input

Historical database of charging stations for more than 10 years

Product details

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