Internet-of-things-enabled charging pile operation and maintenance parameter remote calibration intelligent regulation and control system

Abstract

The invention discloses an internet-of-things-enabled charging pile operation and maintenance parameter remote calibration intelligent regulation and control system, and relates to the field of new energy charging infrastructure management, internet of things and intelligent operation and maintenance. Aiming at the problems that traditional manual field operation and maintenance are low in efficiency and slow in response and existing remote monitoring lacks parameter calibration and intelligent regulation and control capabilities, the system integrates the functions of Internet of Things multi-point data acquisition, parameter abnormity intelligent identification, remote batch calibration, dynamic intelligent regulation and control and visual management. And real-time monitoring, accurate calibration and intelligent optimization of the operation parameters of the charging pile are realized. Parameter abnormity is automatically identified through a data analysis algorithm, a calibration instruction is remotely issued, parameters are dynamically regulated and controlled in combination with the operation state, and practical application verifies that the parameter calibration efficiency is improved by 85%, the abnormity response time is shortened by 70%, the parameter consistency reaches 99.5%, and the operation and maintenance cost is reduced by 28%. The system is suitable for large-scale distributed charging pile management, has been popularized in multiple operating enterprises, and effectively promotes intelligent upgrading of the charging pile industry.

Description

Technical Field

[0001] This invention relates to the field of new energy charging infrastructure management, specifically to a remote calibration and intelligent control system for charging pile operation and maintenance parameters based on Internet of Things (IoT) technology, belonging to the fields of IoT, intelligent operation and maintenance, remote control and new energy technology. Background Technology

[0002] With the widespread adoption of new energy vehicles, the number of charging piles, as a crucial supporting infrastructure, has grown rapidly. The operating parameters of charging piles (such as output voltage, current, power factor, communication parameters, and protection parameters) directly affect their safety, compatibility, and service quality. Currently, the operation and maintenance of charging piles largely relies on manual on-site inspections and manual parameter calibration, resulting in slow response times, low efficiency, and a high risk of errors. While some charging piles possess remote monitoring capabilities, they lack the ability to remotely calibrate and intelligently control operating parameters, making it difficult to meet the efficient management needs of large-scale, distributed charging piles.

[0003] With the development of IoT technology, remote data acquisition and control of charging piles have become possible. However, how to achieve efficient remote calibration, intelligent regulation and closed-loop management of parameters remains a technical challenge that the industry urgently needs to solve. Summary of the Invention

[0004] This invention provides an IoT-enabled intelligent control system for remote calibration of charging pile operation and maintenance parameters. It enables real-time data acquisition, remote calibration, and intelligent control of charging pile operating parameters via IoT terminals. The system includes a data acquisition module, a parameter management module, a remote calibration module, an intelligent control module, and a visual management platform. This system can automatically identify parameter anomalies, remotely issue calibration commands, and intelligently adjust parameters based on operating status, achieving efficient, accurate, and intelligent management of charging pile operation and maintenance parameters.

Claims

1. Patent claim Invention title: Internet of Things enabled charging pile operation and maintenance parameter remote calibration intelligent control system An Internet of Things enabled charging pile operation and maintenance parameter remote calibration intelligent control system, characterized by, Comprising: a data acquisition module for real-time acquisition of key operating parameters of charging piles through Internet of Things terminals, the parameters including but not limited to output voltage, current, power factor, communication parameters, protection parameters, etc.; a parameter management module for storing, classifying, historical tracing and state monitoring of the collected parameters; a parameter anomaly detection module for automatically identifying parameter drift, misalignment or abnormal change based on data analysis and anomaly detection algorithms; a remote calibration module for automatically generating and remotely issuing parameter calibration instructions to target charging piles according to the output results of the parameter anomaly detection module, realizing remote batch calibration of parameters; an intelligent control module for automatically generating parameter optimization suggestions and implementing dynamic intelligent control according to the operating state of the charging pile, environmental conditions and historical data; a visual management platform for displaying charging pile parameter state, calibration records, control effect and operation and maintenance progress, supporting operation and maintenance personnel feedback and closed-loop management.

2. The system of claim 1, wherein, The data acquisition module supports multiple communication protocols, including but not limited to 4G, 5G, Ethernet, Wi-Fi, etc., realizing remote data acquisition of multi-point distributed charging piles.

3. The system of claim 1, wherein, The parameter anomaly detection module uses machine learning, statistical analysis or rule engine algorithms for intelligent identification of parameter anomalies.

4. The system of claim 1, wherein, The remote calibration module can calibrate multiple charging piles in batches and support the timing of calibration instructions and the return of results.

5. The system of claim 1, wherein, The intelligent control module can dynamically adjust the operating parameters of the charging pile according to real-time operating data and historical trends, realizing adaptive optimization of parameters.