RTU intelligent data analysis method, remote terminal device, medium and product
By integrating cameras and prediction models in the RTU, using real-time video data and environmental parameters to identify and supplement the hydrological parameter values during sensor failure, the deviation and timeliness caused by sensor failures when RTU collects data is solved, and high accuracy and fast response hydrological data transmission is achieved.
CN119687876AActive Publication Date: 2025-03-25BEIJING YIBANGDA TECH DEV CO LTD
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Patent Information
- Application Number
- CN202510198258.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-22
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2045-02-22
AI Technical Summary
Technical Problem
In the field of hydrological monitoring, hydrological data collected by remote terminal units (RTUs) are biased, missing or errors due to sensor failures, affecting the timeliness and accuracy of data processing.
Method used
By integrating cameras and prediction models in the RTU, using real-time video data and environmental parameters to identify and supplement hydrological parameter values during sensor failures, ensuring data accuracy and timeliness.
Benefits of technology
It effectively reduces abnormal data transmission caused by sensor failure, improves the accuracy and timeliness of hydrological data transmitted to the control center by RTU, and promptly identify and respond to hydrological abnormalities.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an RTU intelligent data analysis method, remote terminal equipment, a medium and a product, and relates to the technical field of electric digital data processing. The method comprises the following steps: collecting real-time hydrological data according to a preset time interval through a sensor; acquiring real-time video data through a camera; determining a target hydrological parameter value according to the real-time video data under the condition that all sensors for acquiring the target hydrological parameters fail and the target hydrological parameters belong to hydrological parameters in a first hydrological parameter set; under the condition that all sensors for collecting the target hydrological parameters fail and the target hydrological parameters belong to hydrological parameters in a second hydrological parameter set, target hydrological parameter values are obtained through a prediction model; updating real-time hydrological data according to the target hydrological parameters and the target hydrological parameter values; and reporting the real-time hydrological data and the real-time video data according to a preset data reporting mechanism. By implementing the technical scheme, the accuracy of the hydrological data transmitted to the control center by the RTU is improved.
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