A node strain measurement method suitable for a power transmission tower

By optimizing the strain measurement circuit using integer linear programming of the Wheatstone bridge and first-order Kalman digital filtering, the problems of measurement accuracy and power consumption in strain monitoring of transmission towers were solved, and high-precision, low-power strain monitoring was achieved.

CN117091495BActive Publication Date: 2026-07-21GUANGDONG POWER GRID CO LTD DONGGUAN POWER SUPPLY BUREAU
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG POWER GRID CO LTD DONGGUAN POWER SUPPLY BUREAU
Filing Date
2023-08-18
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

In existing technologies for strain monitoring of transmission towers, the measurement circuit of metal foil resistance strain gauges suffers from problems such as manufacturing errors in the bridge resistor and insufficient filtering of the strain measurement signal during engineering, resulting in low measurement accuracy and high power consumption of the sensor node.

Method used

The traditional strain measurement circuit of the Wheatstone bridge is optimized by integer linear programming, and the strain signal is filtered by first-order Kalman digital filtering. A low-power strategy is designed to optimize the strain measurement method of the sensor node.

Benefits of technology

It effectively reduces strain measurement error, improves measurement accuracy, and reduces power consumption of sensor nodes, making it suitable for node strain monitoring of transmission towers.

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Abstract

The application discloses a node strain measurement method suitable for a power transmission tower. The method comprises the following steps: performing integer linear programming optimization on a traditional strain resistance measurement circuit based on a Wheatstone bridge from a hardware level; deploying a first-order Kalman digital filter on a strain measurement amplification signal from a software level; and designing a sensor node low-power consumption strategy based on a strain monitoring value and a Kalman filter estimated value from the software level. The application can provide an optimized thought for the node strain measurement of the power transmission tower, effectively reduce errors, improve the strain measurement precision of the tower steel material, and increase the monitoring efficiency of the sensor node.
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