Signal Processing Method and Device Based on Wireless Sensing Technology

Abstract

The present invention discloses a signal processing method and device based on wireless sensing technology, relating to the technical field of signal processing. It solves the technical problem that the noise removal effect of the signal is not good because it cannot distinguish and change according to the parameters of different waveform turning points, but adopts a unified noise removal method. It continuously interferes with the externally specified interference noise, obtains different change trends according to different interference values, and obtains the linear equation of the corresponding turning point. Subsequently, directly according to the magnitude of the interference value of the interference noise, the interference noise is removed to achieve the effect of fully filtering the noise; then the waveform parameter value is compared with the corrected parameter value, and according to the comparison result, a distorted signal is generated, and the distorted signal is transmitted to an external display terminal for an operator to trim the monitoring signal, achieving a better signal trimming processing effect.

Description

Technical Field

[0001] The present invention belongs to the technical field of signal processing, and specifically relates to a signal processing method and device based on wireless sensing technology. Background Art

[0002] Signal processing is a general term for the processing process of various types of electrical signals according to various expected purposes and requirements. The processing of analog signals is called analog signal processing, and the processing of digital signals is called digital signal processing. The so-called "signal processing" is to process the signals recorded on a certain medium in order to extract useful information. It is a general term for the processes of signal extraction, transformation, analysis, synthesis, etc.

[0003] The invention with the patent publication number CN114765796A provides a signal processing method, a signal processing device and a signal processing program that do not cause discomfort to users and improve the accuracy of signal processing. The signal processing method measures the network delay time with other devices connected via a network, obtains an input signal, calculates the allowable upper limit value in the delay time generated in the output signal relative to the input signal due to signal processing based on the measured network delay time and the allowable total delay time, selects the signal processing with the longest delay time below the upper limit value, processes the input signal through the selected signal processing, and sends the input signal after signal processing as the output signal to the other device.

[0004] During the transmission of existing wireless sensing signals, they will be interfered by external noise. Therefore, corresponding processing methods are needed to process such noise. The general processing method is to directly process the noise with a corresponding filter. However, this processing method cannot distinguish and change according to the parameters of different waveform turning points, but uses a unified noise removal processing method, resulting in poor noise removal effect of the signal. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; for this purpose, the present invention provides a signal processing method and device based on wireless sensing technology, which are used to solve the technical problem that the noise removal effect of the signal is poor because it cannot distinguish and change according to the parameters of different waveform turning points, but uses a unified noise removal processing method.

[0006] To achieve the above object, according to an embodiment of the first aspect of the present invention, a signal processing method based on wireless sensing technology is provided, including the following steps:

[0007] S1. Identify and monitor based on the parameters of the wireless sensor, generate different identification and monitoring signals, pre-analyze the identification and monitoring signals, obtain the waveform diagrams belonging to the initial monitoring signals, merge the waveform diagrams with the coordinate templates, and obtain the waveform parameter values belonging to different initial monitoring signals;

[0008] S2. The signal processing device based on wireless sensing technology receives the bundled initial monitoring signals and the corresponding waveform parameter values, then uses the method of noise interference on the received monitoring signals, monitors the waveform change trend of the monitoring signals, and then rectifies the waveform of the monitoring signals according to the monitored waveform change trend, and eliminates the noise inside the monitoring signals to obtain the corrected waveform diagram belonging to the monitoring signals;

[0009] S3. Re-process the corrected waveform diagram, match the corrected waveform diagram with the coordinate template, obtain the coordinate parameters between multiple turning points inside the corrected waveform diagram, and obtain the corrected parameter values belonging to the corrected waveform diagram by merging the coordinate parameters between multiple turning points. Re-process the corrected parameter values with the original waveform parameter values to check whether there is distortion in the transmission process of this monitoring signal and generate a distortion signal;

[0010] S4. According to the received distortion signal, transmit the original monitoring signal to the external display terminal. The operator processes such signals according to the distortion signal and the corresponding monitoring signal to make the monitoring signal become a complete signal.

[0011] Preferably, in the step S1, the specific method of merging the waveform diagram with the coordinate template is:

[0012] S11. Merge the obtained waveform diagram with the preset coordinate template, where the initial point of the waveform diagram and the origin of the coordinate template are the same point, obtain several waveform turning points of the waveform diagram, and mark them as ZZ i-k , where i represents different initial monitoring signals, where k represents different waveform turning points, where k = 1, 2,..., m, where i = 1, 2,..., n, and according to the specific position of the waveform turning point ZZ i-k , obtain its corresponding coordinate parameters, and mark them as ZZ i-k (X i-k , Y i-k );

[0013] S12. Use to obtain the waveform parameter values BX i belonging to different initial monitoring signals, and bundle and transmit the obtained waveform parameter values BX i with the corresponding initial monitoring signals.

[0014] Preferably, in step S2, the specific method for rectifying the waveform of the monitoring signal is as follows:

[0015] S21. Receive the initial monitoring signal, and in the same way as in step S11, obtain the waveform diagram of the monitoring signal. Set external interference noise to interfere with the monitoring signal, where the interference value of the interference noise is set between 0 - H. During the interference process, obtain data from the waveform diagram that changes in real time;

[0016] S22. Obtain the horizontal coordinate parameter CS of different turning points with a noise interference value of 0 t-k , and then obtain the horizontal coordinate parameter CS of different turning points with a noise interference value of H u-k , where both t and u represent different turning points, t represents the turning point interfered by a noise interference value of 0, and u represents the turning point interfered by a noise interference value of H. Use CS u-k - CS t-k = GB k to obtain the change parameter value GB k . From the change parameter value GB that changes in real time k and the corresponding interference value H, use GB k = K k H + b k to obtain the linear equation Y = K i X + b i for the waveform variation of different turning points affected by interference noise, where k represents different interference points;

[0017] S23. Obtain the noise interference value of the transmission section, and mark the noise interference values of different interference noises as GR k . Substitute the noise interference value GR k into the linear equation Y = K i X + b i corresponding to different turning points to obtain the change parameter value CB k of different turning points. According to the change parameter value CB k of different turning points, readjust the waveform diagram of the monitoring signal, and change the distance parameters of different turning points in sequence to obtain the corrected waveform diagram after change.

[0018] Preferably, in step S3, the specific method for reprocessing the correction parameter value and the original waveform parameter value is as follows:

[0019] S31. Mark multiple turning points of the corrected waveform diagram as TZs, where s represents different turning points belonging to the corrected waveform diagram, and obtain the coordinate parameters (Xs, Ys) of different turning points TZs through the coordinate template, where s = 1, 2,..., Q, and Q is a positive integer;

[0020] S32. Adopt to obtain the corrected parameter value XZ belonging to the corrected waveform diagram, and extract the waveform parameter value BX corresponding to the initial monitoring signal i , and compare the corrected parameter value XZ with the waveform parameter value BX i to perform a difference process to obtain the comparison value BD i , and compare the comparison value BD i with the preset parameter Y1. When BD i < Y1, no processing is performed. Otherwise, a distortion signal is generated.

[0021] Preferably, a signal processing device for a signal processing method based on wireless sensing technology includes a signal receiving end, a signal processing end, a parameter comparison end, and a display terminal;

[0022] The signal receiving end receives the initial monitoring signal and the corresponding waveform parameter value sent by the specified device, and transmits the received initial monitoring signal and the corresponding waveform parameter value to the signal processing end;

[0023] The signal processing end receives the initial monitoring signal and the corresponding waveform parameter value, then uses the method of noise interference on the received monitoring signal to monitor the waveform change trend of the monitoring signal, and then rectifies the waveform of the monitoring signal according to the monitored waveform change trend, eliminates the noise inside the monitoring signal to obtain the corrected waveform diagram belonging to the monitoring signal, and then performs further processing on the corrected waveform diagram, matches the corrected waveform diagram with the coordinate template, obtains the coordinate parameters between multiple turning points inside the corrected waveform diagram, and through the combined processing of the coordinate parameters between multiple turning points, obtains the corrected parameter value belonging to the corrected waveform diagram;

[0024] The parameter comparison end reprocesses the corrected parameter value and the original waveform parameter value to check whether there is a distortion situation in the transmission process of this monitoring signal and generates a distortion signal;

[0025] The display terminal displays the generated distortion signal, and external operators rectify the specified monitoring signal according to the displayed distortion signal.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows: The received monitoring signal is interfered with by noise, the changing trend of the waveform of the monitoring signal is monitored, and then according to the monitored changing trend of the waveform, the waveform of the monitoring signal is rectified, the noise inside the monitoring signal is removed to obtain a corrected waveform diagram belonging to the monitoring signal, according to the obtained waveform diagram, external pre-determined interference noise is used for continuous interference, different changing trends are obtained according to different interference values, and a linear equation of the corresponding turning point is obtained. Subsequently, the interference noise is directly removed according to the magnitude of the interference value of the interference noise, achieving the effect of fully filtering noise;

[0027] Then, the waveform parameter value is compared with the corrected parameter value, and according to the comparison result, a distortion signal is generated and transmitted to the external display terminal for the operator to rectify the monitoring signal, achieving a better signal rectification processing effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a schematic flow chart of the method of the present invention;

[0029] Figure 2 is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0031] Please refer to Figure 1 , the present application provides a signal processing method and device based on wireless sensing technology, including the following steps:

[0032] S1. Identify and monitor according to the parameters of the wireless sensor to generate different identification monitoring signals, pre-analyze the identification monitoring signals, obtain a waveform diagram belonging to the initial monitoring signal, and merge the waveform diagram with a coordinate template to obtain waveform parameter values belonging to different initial monitoring signals. The specific method of the merging process is as follows:

[0033] S11. Merge the obtained waveform diagram with a preset coordinate template, where the initial point of the waveform diagram and the origin of the coordinate template are the same point, obtain several waveform turning points of the waveform diagram, and mark them as ZZ i-k , where i represents different initial monitoring signals, where k represents different waveform turning points, where k = 1, 2,..., m, where i = 1, 2,..., n, and according to the waveform turning point ZZ i-kThe specific position, obtain its corresponding coordinate parameters, and mark it as ZZ i-k (X i-k , Y i-k ), where X i-k represents the horizontal coordinate parameter of the waveform turning point ZZ i-k , and Y i-k represents the vertical coordinate parameter of the waveform turning point ZZ i-k ;

[0034] S12. Adopt to obtain the waveform parameter values BX i belonging to different initial monitoring signals, and bundle and send the obtained waveform parameter values BX i with the corresponding initial monitoring signals;

[0035] S2. The signal processing device based on wireless sensing technology receives the bundled and sent initial monitoring signals and the corresponding waveform parameter values, then uses the method of noise interference for the received monitoring signals, monitors the waveform change trend of the monitoring signals, and then rectifies the waveform of the monitoring signals according to the monitored waveform change trend, and eliminates the noise inside the monitoring signals to obtain the corrected waveform diagram belonging to the monitoring signal, achieving the effect of fully filtering noise. The specific method of rectification is as follows:

[0036] S21. Receive the initial monitoring signal, and use the same method as in step S11 to obtain the waveform diagram of the monitoring signal. Set external interference noise to interfere with the monitoring signal. The interference value of the interference noise is set between 0 - H, where the value of H is determined by the operator himself. During the interference process, obtain data for the waveform diagram that changes in real time;

[0037] S22. Obtain the horizontal coordinate parameters CS t-k of different turning points with a noise interference value of 0, and then obtain the horizontal coordinate parameters CS u-k of different turning points with a noise interference value of H. Among them, both t and u represent different turning points. t represents the turning point interfered with by a noise interference value of 0, and u represents the turning point interfered with by a noise interference value of H. Use CS u-k - CS t-k = GB k to obtain the change parameter value GB k . From the change parameter value GB k that changes in real time and the corresponding interference value H, use GB k = K k H + b k(When the interference value is gradually adjusted from 0 to H, multiple different changed parameter values will be generated. Therefore, by substituting different values into this equation, the corresponding equations can be obtained), and linear equations Y = K i X + b i are obtained, where k represents different interference points;

[0038] S23. Obtain the noise interference value of the transmission section, and mark the noise interference values of different interference noises as GR k , and substitute the noise interference value GR k into the linear equation Y = K corresponding to different turning points i X + b i to obtain the changed parameter values CB belonging to different turning points k . According to the changed parameter values CB of different turning points k , readjust the waveform diagram of this monitoring signal, change the distance parameters of different turning points in sequence, and obtain the adjusted corrected waveform diagram (the noise interference generated during the transmission process has been completely removed in the corrected waveform diagram);

[0039] S3. Reprocess the corrected waveform diagram, match the corrected waveform diagram with the coordinate template, obtain the coordinate parameters between multiple turning points inside the corrected waveform diagram, and through the combined processing of the coordinate parameters between multiple turning points, obtain the corrected parameter value belonging to this corrected waveform diagram. Reprocess the corrected parameter value and the original waveform parameter value to check whether there is distortion in this monitoring signal during the transmission process and generate a distortion signal. The specific method of combined processing is as follows:

[0040] S31. Mark multiple turning points of the corrected waveform diagram as TZs, where s represents different turning points belonging to the corrected waveform diagram, and obtain the coordinate parameters (Xs, Ys) of different turning points TZs through the coordinate template, where s = 1, 2,..., Q, and Q is a positive integer;

[0041] S32. Adopt to obtain the corrected parameter value XZ belonging to this corrected waveform diagram, and extract the waveform parameter value BX of the corresponding initial monitoring signal i . Perform a difference process on the corrected parameter value XZ and the waveform parameter value BX i to obtain a comparison value BD i . Compare the comparison value BD i with the preset parameter Y1. When BD i < Y1, no processing is performed. Otherwise, a distortion signal is generated;

[0042] S4. According to the received distorted signal, transmit the original monitoring signal into an external display terminal. The operator processes such signals based on the distorted signal and the corresponding monitoring signal, so that the monitoring signal is transformed into a complete signal.

[0043] Please refer to Figure 2 , a signal processing device based on wireless sensing technology, including a signal receiving end, a signal processing end, a parameter comparison end, and a display terminal;

[0044] The signal receiving end receives the initial monitoring signal and the corresponding waveform parameter values sent by the specified device, and transmits the received initial monitoring signal and the corresponding waveform parameter values into the signal processing end;

[0045] The signal processing end receives the initial monitoring signal and the corresponding waveform parameter values, then uses the method of noise interference on the received monitoring signal to monitor the waveform change trend of the monitoring signal. Then, according to the monitored waveform change trend, rectify the waveform of the monitoring signal, remove the noise inside the monitoring signal to obtain the corrected waveform diagram of this monitoring signal, and then reprocess the corrected waveform diagram, match the corrected waveform diagram with the coordinate template, obtain the coordinate parameters between multiple turning points inside the corrected waveform diagram, and through the combined processing of the coordinate parameters between multiple turning points, obtain the corrected parameter value belonging to this corrected waveform diagram;

[0046] The parameter comparison end reprocesses the corrected parameter value and the original waveform parameter value to check whether there is a distortion situation in the transmission process of this monitoring signal and generates a distorted signal;

[0047] The display terminal displays the generated distorted signal, and the external operator trims the specified monitoring signal according to the displayed distorted signal.

[0048] Some of the data in the above formula are calculated by removing the dimension and taking its numerical value. The formula is obtained by software simulation of a large amount of collected data to get a formula closest to the actual situation; the preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained by simulation of a large amount of data.

[0049] Working principle of the present invention: The generated identification and monitoring signal is pre - processed to obtain waveform parameter values belonging to the signal, and then the identification and monitoring signal is transmitted to the backend for processing. The received monitoring signal is interfered with by noise to monitor the changing trend of the waveform of the monitoring signal. Then, according to the monitored changing trend of the waveform, the waveform of the monitoring signal is rectified to remove the noise inside the monitoring signal to obtain a corrected waveform diagram belonging to the monitoring signal. According to the obtained waveform diagram, external - specified interference noise is used for continuous interference, and different changing trends are obtained according to different interference values, and a linear equation of the corresponding turning point is obtained. Subsequently, the interference noise is directly removed according to the magnitude of the interference noise value of the interference noise, achieving the effect of fully filtering noise;

[0050] Then, the waveform parameter values are compared with the corrected parameter values. According to the comparison result, a distortion signal is generated, and the distortion signal is transmitted to an external display terminal for the operator to rectify the monitoring signal, achieving a better signal rectification and processing effect.

[0051] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A signal processing method based on wireless sensing technology, characterized in that, It includes the following steps: S1. Identify and monitor according to the parameters of the wireless sensor, generate different identification monitoring signals, pre-analyze the identification monitoring signals, obtain the waveform diagrams belonging to the initial monitoring signals, and merge the waveform diagrams with the coordinate templates to obtain the waveform parameter values belonging to different initial monitoring signals. The specific method is as follows: S11. Merge the acquired waveform diagram with a preset coordinate template, where the initial point of the waveform diagram coincides with the origin of the coordinate template, obtain several waveform turning points of the waveform diagram, and mark them as ZZ i-k , where i represents different initial monitoring signals, k represents different waveform turning points, where k = 1, 2,..., m, where i = 1, 2,..., n, and based on the specific positions of the waveform turning points ZZ i-k , obtain their corresponding coordinate parameters and mark them as ZZ i-k (X i-k , Y i-k ); S12. Adopt to obtain waveform parameter values BX belonging to different initial monitoring signals i , and bundle and transmit the obtained waveform parameter values BX i with the corresponding initial monitoring signals; S2. The signal processing device based on wireless sensing technology receives the bundled initial monitoring signals and the corresponding waveform parameter values, then uses the method of noise interference for the received monitoring signals, monitors the waveform change trend of the monitoring signals, and then rectifies the waveform of the monitoring signals according to the monitored waveform change trend, and eliminates the noise inside the monitoring signals to obtain the corrected waveform diagram belonging to the monitoring signals. The specific method is as follows: S21. Receive the initial monitoring signals and use the same method as in step S11 to obtain the waveform diagrams of the monitoring signals. Set external interference noise to interfere with the monitoring signals, where the interference value of the interference noise is set between 0 - H. During the interference process, obtain the data of the waveform diagrams that are changing in real time; S22. Obtain the horizontal coordinate parameter CS of different turning points with a noise interference value of 0 t-k , and then obtain the horizontal coordinate parameter CS of different turning points with a noise interference value of H u-k , where both t and u represent different turning points, t represents the turning point interfered by a noise interference value of 0, and u represents the turning point interfered by a noise interference value of H. Using CS u-k -CS t-k = GB k Obtain the changed parameter value GB k , from the changed parameter value GB that changes in real time k and the corresponding interference value H using GB k = K k H + b k , obtain the linear equation Y = K i X + b i for the waveform variation of different turning points affected by interference noise, where k represents different interference points; S23. Obtain the noise interference value of the transmission section, and mark the noise interference values of different interfering noises as GR k , and substitute the noise interference value GR k into the linear equation Y = K i X + b i corresponding to different turning points to obtain the change parameter values CB belonging to different turning points k , and readjust the waveform diagram of the monitoring signal according to the change parameter values CB of different turning points k , and change the distance parameters of different turning points in sequence to obtain the corrected waveform diagram after the change; S3. Re-process the corrected waveform diagram, match the corrected waveform diagram with the coordinate template, obtain the coordinate parameters between multiple turning points inside the corrected waveform diagram, and through the combined processing of the coordinate parameters between multiple turning points, obtain the corrected parameter values belonging to the corrected waveform diagram. Re-process the corrected parameter values and the original waveform parameter values to check whether there is distortion in the transmission process of this monitoring signal and generate a distortion signal. The specific method is as follows: S31. Mark multiple turning points of the corrected waveform diagram as TZs, where s represents different turning points belonging to the corrected waveform diagram, and obtain the coordinate parameters (Xs, Ys) of different turning points TZs through the coordinate template, where s = 1, 2,..., Q, and Q is a positive integer; S32. Adopt to obtain a corrected parameter value XZ belonging to the corrected waveform diagram, and extract a waveform parameter value BX corresponding to the initial monitoring signal i , and perform a difference process on the corrected parameter value XZ and the waveform parameter value BX i to obtain a comparison value BD i , and compare the comparison value BD i with a preset parameter Y1. When BD i < Y1, no processing is performed. Otherwise, a distortion signal is generated; S4. According to the received distortion signal, transmit the original monitoring signal to the external display terminal. The operator processes such signals according to the distortion signal and the corresponding monitoring signal to make the monitoring signal become a complete signal.

2. A signal processing device for the signal processing method based on wireless sensing technology according to claim 1, characterized in that, It includes a signal receiving end, a signal processing end, a parameter comparison end, and a display terminal; The signal receiving end receives the initial monitoring signals and the corresponding waveform parameter values sent by the specified device, and transmits the received initial monitoring signals and the corresponding waveform parameter values to the signal processing end; The signal processing end receives the initial monitoring signals and the corresponding waveform parameter values, then uses the method of noise interference for the received monitoring signals, monitors the waveform change trend of the monitoring signals, and then rectifies the waveform of the monitoring signals according to the monitored waveform change trend, and eliminates the noise inside the monitoring signals to obtain the corrected waveform diagram belonging to the monitoring signals. Then re-process the corrected waveform diagram, match the corrected waveform diagram with the coordinate template, obtain the coordinate parameters between multiple turning points inside the corrected waveform diagram, and through the combined processing of the coordinate parameters between multiple turning points, obtain the corrected parameter values belonging to the corrected waveform diagram; The parameter comparison end reprocesses the corrected parameter value and the original waveform parameter value to check whether there is distortion in the transmission process of this monitoring signal and generates a distortion signal; The display terminal displays the generated distortion signal, and external operators trim the specified monitoring signal according to the displayed distortion signal.

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