Portable telemetry data monitoring platform and monitoring method

Abstract

The invention relates to a portable telemetry data monitoring platform and a monitoring method. The monitoring platform includes two parts: a sending end and a ground receiving end. The sending end includes sensors, converters, encoders, transmitters and other equipment to complete data collection, encoding and transmission; The receiving end includes a receiver, a data processing module, a recording module and a display module, and completes the receiving, recording, parsing, smoothing processing and interface display of telemetry data. The monitoring method of the present invention is implemented by the software of the data monitoring platform, which simplifies the hardware structure and improves the portability and flexibility of the system; the improved Garrote threshold wavelet method is used for data smoothing, which greatly reduces the impact of errors and makes The data measurement value is closer to the real value, and is displayed through a combination of text interface and curve interface, so that ground monitoring personnel can grasp the operating status of the aircraft more intuitively and accurately, and improve the efficiency of system maintenance and failure analysis.

Description

technical field [0001] The invention belongs to the technical category of telemetry parameter monitoring, and in particular relates to a portable telemetry data monitoring platform and a monitoring method. Background technique [0002] Before the official flight of the aircraft, it is usually necessary to do a lot of test and verification work to conduct fault analysis on the operating parameters of the aircraft to ensure the safety of the actual flight. With the development of science and technology and the increase of various sensors, in the actual telemetry data monitoring system, there are more and more types of aircraft operating parameters to be measured, and the amount of data is increasing, which increases the data analysis in the telemetry data monitoring system. and the difficulty of fault detection. [0003] Traditional telemetry data monitoring mostly adopts hardware structure for data collection and processing. The equipment is bulky, not easy to carry, and lac...

AI Technical Summary

Problems solved by technology

[0003] Traditional telemetry data monitoring mostly adopts hardware structure for data collection and processing. The equipment is bulky, not easy to carry, and lacks flexibility.

In addition, due to the influence of factors such as vibration, electromagnetic interference, and propagation paths, random measurement errors will inevitably exist in aircraft parameter records. Most of the commonly used telemetry parameter denoising methods have shortcomings such as large fitting errors and weak applicability. task, it is necessary to use a variety of different denoising algorithms for data smoothing, which increases the difficulty and complexity of system implementation

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