Remote alarming method and system based on detection of signal-to-noise ratio

Abstract

The invention discloses a remote alarming method and system based on detection of signal-to-noise ratio. The method includes the following steps: a receiver detects the intensity of a control signal sent by a transmitter and the intensity of ambient noise; the receiver calculates the ratio between the intensity of the control signal and the intensity of the noise signal, i.e., the signal-to-noise ratio, and the receiver sends the signal-to-noise ratio to the transmitter; the transmitter determines the size of the signal-to-noise ratio and a predetermined threshold value, and when the signal-to-noise ratio is smaller than the predetermined threshold value, an alarming signal is sent. According to the invention, multiple factors which impact remote operations are fully taken into consideration, such as the noise factor and the factors of the remote model, so that detection for a remote operation environment is more accurate and smart. When unsafe environment is detected, an alarm can be sent in time to alert an operator and reduce operation risks. The receiver can perform real-time detection, real-time transmission, and guarantee the timeliness and accuracy of data.

Description

technical field [0001] The invention relates to the field of remote control models, in particular to a remote control alarm method and system based on signal-to-noise ratio detection. Background technique [0002] During the remote control flight of the remote control model, the network environment factors have a great influence. The noise in the network environment will interfere with the data communication between the transmitter and the receiver. If the noise interference is too large, it will not only reduce the communication quality, but also affect the control signal transmission. Reduce the control sensitivity, resulting in smooth or bad models, especially in some environments with severe electromagnetic interference, such as urban network-intensive areas, earthquake relief sites, mountainous areas or near high-voltage lines, etc. [0003] Although it is possible to judge whether the remote control environment is safe through noise monitoring, judging the safety of th...

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Problems solved by technology

[0002] During the remote control flight of the remote control model, the network environment factors have a great influence. The noise in the network environment will interfere with the data communication between the transmitter and the receiver. If the noise interference is too large, it will not only reduce the communication quality, but also affect the control signal transmission. Reduce the control sensitivity and cause the smoothness of the model, especially in some environments with severe electromagnetic interference, such as dense urban network areas, earthquake relief sites, mountainous areas or near high-voltage lines, etc.

[0003] Although it is possible to judge whether the remote control environment is safe through noise monitoring, judging the safety of the remote control environment based on noise is too simple and the accuracy is not high

The remote control environment is not only related to the network environment, but also related to the remote control channel, transmitter power and other factors. Therefore, pure noise monitoring can only know the noise situation in the network environment, and cannot be combined with the actual situation of remote control, such as remote control channel, transmitter power, etc. Power, etc., these factors will also affect the safety of the remote control environment together with the noise

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