A processing method and device of a floating-point tracking signal
By performing feature analysis and index calculation on floating-point tracking signals, and converting them into Boolean waveform signals, the universality problem of signal processing is solved, and the accuracy of signal recognition and the ability to judge equipment status are improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING SCI&TECH UNIV DESIGN RES YUAN CO
- Filing Date
- 2022-12-27
- Publication Date
- 2026-05-19
AI Technical Summary
In existing technologies, floating-point tracking signal processing has poor universality and is difficult to transfer and use, resulting in poor recognition performance of signal recognition programs.
By acquiring floating-point tracking signal data, performing feature analysis and index calculations, including rise and fall time and signal amplitude, and converting it into Boolean waveform signal output, the signal regularization process is achieved.
Accurately determining the rise and fall times of signals reduces equipment failures caused by timing errors, improves the accuracy of signal recognition, and provides timely assessment of equipment status.
Smart Images
Figure CN116089816B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of signal processing technology, and in particular to a method and apparatus for processing floating-point tracking signals. Background Technology
[0002] For tracking signals of various equipment or material states, many are output as floating-point data. However, environmental interference is unavoidable in reality, and signals extracted from the field often fail to meet the recognition requirements of the identification program. General floating-point square wave tracking signals must be processed to display a smooth waveform. The key to this processing lies in identifying the rising and falling edges of the signal and its amplitude. The rising edge of a floating-point tracking signal is the trigger moment when the signal transitions from crossing the lower reference state to crossing the upper reference state; the falling edge is the trigger moment when the signal transitions from crossing the upper reference state to crossing the lower reference state; and the amplitude is the distance between the upper and lower reference states. To facilitate program execution, converting the floating-point tracking signals extracted from the field into Boolean tracking signals is a commonly used method.
[0003] Patent application CN112995079B discloses a signal processing method and related equipment. By using envelope tracking, it modulates the tracking voltage signal to reduce the error between the actual and desired voltage signals. Patent application CN114049886A discloses a waveform signal processing method and apparatus. It collects sound or vibration signals generated by motion, converts them into waveform signals, and modulates the device's sound waveform signal to improve the playback sound quality.
[0004] The aforementioned existing technologies all modulate and modify signal waveforms based on actual needs, and many of the proposed signal processing techniques are highly targeted, achieving good processing results in their respective fields. However, these existing technologies have poor universality for tracking signal processing and are difficult to transfer and apply. Summary of the Invention
[0005] In view of the problem that existing technologies have poor universality for tracking signal processing and are difficult to transfer and use, this invention proposes a method and apparatus for processing floating-point tracking signals.
[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:
[0007] On the one hand, a method for processing floating-point tracking signals is provided, which is applied to electronic devices and includes the following steps:
[0008] S1: Acquire floating-point tracking signal data for the status of equipment or materials;
[0009] S2: Perform feature analysis on the floating-point tracking signal data to obtain feature information, and calculate the indexes of the floating-point tracking signal based on the feature information; the indexes include: rise and fall time and signal amplitude;
[0010] S3: Obtain the index calculation results of the floating-point tracking signal, and convert the waveform signal of the floating-point tracking signal into a Boolean waveform signal based on the calculation results, thus completing the processing of the floating-point tracking signal.
[0011] Optionally, in S1, the data for acquiring floating-point tracking signals of equipment or material status includes:
[0012] Data on floating-point tracking signals of equipment or material status can be collected through signal acquisition equipment at the production site, or data on floating-point tracking signals of equipment or material status can be obtained by extracting historical signal data.
[0013] Optionally, in S2, the feature information includes: stability features and oscillation features; wherein, the determination method for stability features and oscillation features is: when there is no response, the signal is smooth and stable, and when a response occurs, the signal waveform oscillates violently.
[0014] Optionally, in S2, the floating-point signal index of the feature information is calculated, including:
[0015] Based on the obtained stability and oscillation characteristics, the rise and fall times of the floating-point tracking signal are determined, and the signal amplitude of the floating-point tracking signal is calculated.
[0016] Optionally, determining the rise and fall times of the floating-point tracking signal includes:
[0017] Choose any point in time on the time axis as the center point, extract data within a preset range, and calculate the variance of the data within the preset range. The variance is calculated as the degree of waveform fluctuation within the extracted range.
[0018] Set a waveform fluctuation limit value, compare the calculated variance value with the waveform fluctuation limit value, and determine that there is no response when the calculated variance value is less than the waveform fluctuation limit value; determine that a response occurs when the calculated variance value is greater than the waveform fluctuation limit value.
[0019] The time points corresponding to the center points of the preset range are advanced one by one in the order of occurrence. The response state corresponding to each center point is recorded. When the response state changes from no response to response, it is determined to be the rising edge time. When the response state changes from response to no response, it is determined to be the falling edge time.
[0020] Optionally, the signal amplitude of the floating-point tracking signal is calculated, including:
[0021] In any selected segment of the floating-point tracking signal waveform, multiple height values are selected at fixed intervals within the height range containing all data points as height center points. Data is extracted from the same upper and lower height ranges of the multiple height center points, and the number of extracted data is calculated. The height value of the height center point with the most data is determined as the signal amplitude of the selected segment of the waveform; wherein, the height range is greater than or equal to the selection interval of the height center points.
[0022] Optionally, in step S3, the calculation result of the floating-point tracking signal is obtained, and the waveform of the floating-point tracking signal is converted into a Boolean waveform signal based on the calculation result for output, thus completing the processing of the floating-point tracking signal, including:
[0023] Based on the rise and fall times and signal amplitude of the floating-point tracking signal, the data between the rise and fall times of the floating-point tracking signal is output as the signal amplitude, and other signals are output as 0, thus integrating and processing the waveform of the floating-point tracking signal.
[0024] Based on the integrated floating-point tracking signal, the data between the rising and falling edges is output as 1, and other signals are output as 0. The waveform of the integrated floating-point tracking signal is converted into a Boolean waveform signal for output, thus completing the processing of the floating-point tracking signal.
[0025] On the one hand, a processing device for floating-point tracking signals is provided, which is applied to electronic devices, and the device includes:
[0026] The data acquisition module is used to acquire floating-point tracking signals of equipment or material status.
[0027] The feature analysis module is used to perform feature analysis on the floating-point tracking signal data, obtain feature information, and calculate the indicators of the floating-point tracking signal based on the feature information; the indicators include: rise and fall time and signal amplitude;
[0028] The signal conversion module is used to obtain the index calculation results of the floating-point tracking signal, and convert the waveform signal of the floating-point tracking signal into a Boolean waveform signal for output based on the calculation results, thus completing the processing of the floating-point tracking signal.
[0029] Optionally, the data acquisition module is further used to acquire floating-point tracking signal data of equipment or material status through signal acquisition equipment at the production site, or to acquire floating-point tracking signal data of equipment or material status by extracting historical signal data.
[0030] Optionally, the feature information includes: stability features and oscillation features; wherein, the stability features and oscillation features are determined as follows: when there is no response, the signal is smooth and stable, and when a response occurs, the signal waveform oscillates violently.
[0031] On one hand, an electronic device is provided, comprising a processor and a memory, wherein the memory stores at least one instruction, which is loaded and executed by the processor to implement the above-described method for processing a floating-point tracking signal.
[0032] On the one hand, a computer-readable storage medium is provided, wherein at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the above-described method for processing a floating-point tracking signal.
[0033] The above-described technical solutions of the embodiments of the present invention have at least the following beneficial effects:
[0034] In the above solution, the present invention uses a floating-point tracking signal processing method to normalize or convert the floating-point tracking signal into a Boolean tracking signal, accurately determine the rise and fall times of the signal, facilitate the signal recognition program to accurately identify equipment or material status information, reduce equipment failures or erroneous production information caused by time errors, and provide assistance for timely judgment of equipment status. Attached Figure Description
[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0036] Figure 1 This is a flowchart of a method for processing floating-point tracking signals provided in an embodiment of the present invention;
[0037] Figure 2 This is a graph showing the historical data processing results of a floating-point tracking signal processing method provided in an embodiment of the present invention.
[0038] Figure 3 This is a diagram illustrating the conversion of a floating-point tracking signal into a Boolean tracking signal, as provided in an embodiment of the present invention.
[0039] Figure 4 This is a block diagram of a floating-point tracking signal processing device provided in an embodiment of the present invention;
[0040] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation
[0041] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.
[0042] This invention provides a method for processing floating-point tracking signals. This method can be implemented by an electronic device, which can be a terminal or a server. Figure 1 The flowchart shown illustrates a method for processing floating-point tracking signals that combines multi-scale convolution and self-attention encoding. This method's processing flow may include the following steps:
[0043] S101: Acquire floating-point tracking signal data for the status of equipment or materials.
[0044] In one feasible implementation, acquiring floating-point tracking signal data of equipment or material status includes:
[0045] Data on floating-point tracking signals of equipment or material status can be collected through signal acquisition equipment at the production site, or data on floating-point tracking signals of equipment or material status can be obtained by extracting historical signal data.
[0046] S102: Perform feature analysis on the floating-point tracking signal data to obtain feature information, and calculate the indexes of the floating-point tracking signal based on the feature information; the indexes include: rise and fall time and signal amplitude;
[0047] In one feasible implementation, the feature information includes: stability features and oscillation features; wherein, the stability features and oscillation features are determined as follows: when there is no response, the signal is smooth and stable, and when a response occurs, the signal waveform oscillates violently.
[0048] One feasible implementation method is, for example Figure 2 As shown, in Example (I), the tracking signal data is collected by relevant equipment at the production site. Its characteristics are that when there is no response, the signal is flat and stable with a unique amplitude. When a response occurs, the signal waveform oscillates violently, and the boundaries of the rising and falling edges are not obvious, and the amplitudes of each waveform segment are not equal.
[0049] In one feasible implementation, the feature information is used to calculate the index of a floating-point signal, including:
[0050] Based on the obtained stability and oscillation characteristics, the rise and fall times of the floating-point tracking signal are determined, and the signal amplitude of the floating-point tracking signal is calculated.
[0051] In one feasible implementation, in Example (II), the tracking signal data is collected by relevant equipment at the production site. Its features are that when there is no response, the signal is smooth and stable with little fluctuation. When a response occurs, the signal waveform oscillates violently, the waveform amplitude is difficult to determine, the oscillation height of each segment of the signal waveform is basically the same, and the default amplitude is unique.
[0052] In one feasible implementation, determining the rise and fall times of the floating-point tracking signal includes:
[0053] Choose any point in time on the time axis as the center point, extract data within a preset range, and calculate the variance of the data within the extracted range. The variance is calculated as the degree of waveform fluctuation within the extracted range.
[0054] Set a waveform fluctuation limit value, compare the calculated variance value with the waveform fluctuation limit value, and determine that there is no response when the calculated variance value is less than the waveform fluctuation limit value; determine that a response occurs when the calculated variance value is less than the waveform fluctuation limit value.
[0055] The time points corresponding to the center points of the preset range are advanced sequentially according to the time occurrence order. The response state corresponding to each center point is recorded. When the response state changes from no response to response, this is the rising edge time. When the response state changes from response to no response, this is the falling edge time. Each rising edge and the next falling edge together constitute a band. Bands with too small a spacing are merged, and bands with too small an amplitude and band width are deleted. Rising and falling edge time points detected due to noise are removed.
[0056] In one feasible implementation, calculating the signal amplitude of the floating-point tracking signal includes:
[0057] In any selected segment of the floating-point tracking signal waveform, multiple height values are selected at fixed intervals within the height range containing all data points as height center points. Data is extracted from the same upper and lower height ranges of the multiple height center points, and the number of extracted data is calculated. The height value of the height center point with the most data is determined as the signal amplitude of the selected segment of the waveform; wherein, the height range is greater than or equal to the selection interval of the height center points.
[0058] One feasible implementation method is, for example Figure 2 As shown, in Example (I), the signal amplitude of each segment of the floating-point tracking signal is not equal. The signal amplitude of each segment of the floating-point tracking signal is calculated separately.
[0059] S103: Obtain the index calculation results of the floating-point tracking signal, convert the waveform signal of the floating-point tracking signal into a Boolean waveform signal based on the calculation results, and complete the processing of the floating-point tracking signal.
[0060] In one feasible implementation, based on the rise and fall times of the floating-point tracking signal and the signal amplitude, the data between the rise and fall times of the floating-point tracking signal is output as the signal amplitude, and other signals are output as 0, thereby integrating and processing the waveform of the floating-point tracking signal.
[0061] Based on the integrated floating-point tracking signal, the data between the rising and falling edges is output as 1, and other signals are output as 0. The waveform of the floating-point tracking signal is converted into a Boolean waveform signal for output, thus completing the processing of the floating-point tracking signal.
[0062] The results of processing floating-point tracking signals using this method are as follows: Figure 2 As shown, depending on the requirements, either a floating-point tracking signal with amplitude information and signal trigger time information or a Boolean tracking signal with signal trigger time information can be selected. After correction, the waveform conforms to the characteristics of the original data and is easy to identify and process.
[0063] Real-time processing of floating-point tracking signals to Boolean tracking signals requires periodically reading and processing unreceived data. This process also involves determining the rise and fall times of the floating-point tracking signal. The most recently acquired unreceived data segments are extracted, and the variance of all extracted data is calculated to reflect the waveform fluctuation within that range. A waveform fluctuation limit is set based on experience. If the calculated value is less than the fluctuation limit, no response is considered; otherwise, a response is considered to have occurred.
[0064] As data is periodically read and recorded, the corresponding response status is recorded. When the status changes from no response to response, this is the rising edge time. When the status changes from response to no response, this is the falling edge time.
[0065] Each rising edge and the next falling edge together form a band. Bands with too small a spacing are merged, and bands with too small an amplitude and band width are deleted. The rising and falling edge time points detected due to noise are removed.
[0066] This method converts floating-point tracking signals into Boolean tracking signals in real time, as shown in the following results. Figure 3 As shown, the corrected waveform conforms to the characteristics of the original data and is easy to identify and process.
[0067] In this embodiment of the invention, a floating-point tracking signal processing method is used to normalize or convert the floating-point tracking signal into a Boolean tracking signal, accurately determine the rise and fall times of the signal, facilitate the signal recognition program to accurately identify equipment or material status information, reduce equipment failures or erroneous production information caused by time errors, and provide assistance for timely judgment of equipment status.
[0068] Figure 4 This is a block diagram of a floating-point tracking signal processing apparatus according to an exemplary embodiment. (Refer to...) Figure 4 The device 300 includes:
[0069] Data acquisition module 310 is used to acquire floating-point tracking signal data of equipment or material status;
[0070] The feature analysis module 320 is used to perform feature analysis on the floating-point tracking signal data, obtain feature information, and calculate the indexes of the floating-point tracking signal based on the feature information; the indexes include: rise and fall time and signal amplitude;
[0071] The signal conversion module 330 is used to obtain the index calculation results of the floating-point tracking signal, and convert the waveform signal of the floating-point tracking signal into a Boolean waveform signal for output based on the calculation results, thus completing the processing of the floating-point tracking signal.
[0072] Optionally, the data acquisition module 320 is further used to acquire floating-point tracking signal data of equipment or material status through signal acquisition equipment at the production site, or to acquire floating-point tracking signal data of equipment or material status by extracting historical signal data.
[0073] Optionally, the feature information includes: stability features and oscillation features; wherein, the stability features and oscillation features are determined as follows: when there is no response, the signal is smooth and stable, and when a response occurs, the signal waveform oscillates violently.
[0074] Optionally, the data acquisition module 320 is further used to determine the rise and fall times of the floating-point tracking signal based on the obtained stability and oscillation characteristics, and to calculate the signal amplitude of the floating-point tracking signal.
[0075] Optionally, determining the rise and fall times of the floating-point tracking signal includes:
[0076] Choose any point in time on the time axis as the center point, extract data within a preset range, and calculate the variance of the data within the extracted range. The variance is calculated as the degree of waveform fluctuation within the extracted range.
[0077] Set a waveform fluctuation limit value, compare the calculated variance value with the waveform fluctuation limit value, and determine that there is no response when the calculated variance value is less than the waveform fluctuation limit value; determine that a response occurs when the calculated variance value is greater than the waveform fluctuation limit value.
[0078] The interception range is extracted from front to back in chronological order, and the response state corresponding to each center point is recorded. When the response state changes from no response to response, this is the rising edge time. When the response state changes from response to no response, this is the falling edge time.
[0079] Optionally, the signal amplitude of the floating-point tracking signal is calculated, including:
[0080] In any segment of floating-point tracking signal, multiple height values are selected as height center points. Data is extracted from the same upper and lower height ranges of the multiple height center points, and the number of extracted data is calculated. The height value of the height center point with the most extracted data is the signal amplitude.
[0081] Optionally, the signal conversion module 330 is further configured to output the data between the rising and falling edge times of the floating-point tracking signal as the signal amplitude, and output other signals as 0, based on the rising and falling edge times and the signal amplitude of the floating-point tracking signal, thereby integrating and processing the waveform of the floating-point tracking signal.
[0082] Based on the integrated floating-point tracking signal, the data between the rising and falling edges is output as 1, and other signals are output as 0. The waveform of the floating-point tracking signal is converted into a Boolean waveform signal for output, thus completing the processing of the floating-point tracking signal.
[0083] In this embodiment of the invention, a floating-point tracking signal processing method is used to convert the floating-point tracking signal into a Boolean tracking signal, which facilitates the signal recognition program to identify the status information of the equipment or materials and provides assistance for timely judgment of the equipment status.
[0084] Figure 5 This is a schematic diagram of the structure of an electronic device 400 provided in an embodiment of the present invention. The electronic device 400 can vary considerably due to differences in configuration or performance. It may include one or more central processing units (CPUs) 401 and one or more memories 402. The memory 402 stores at least one instruction, which is loaded and executed by the processor 401 to implement the steps of the following floating-point tracking signal processing method:
[0085] S1: Acquire floating-point tracking signal data for the status of equipment or materials;
[0086] S2: Perform feature analysis on the floating-point tracking signal data to obtain feature information, and calculate the indexes of the floating-point tracking signal based on the feature information; the indexes include: rise and fall time and signal amplitude;
[0087] S3: Obtain the index calculation results of the floating-point tracking signal, and convert the waveform signal of the floating-point tracking signal into a Boolean waveform signal based on the calculation results, thus completing the processing of the floating-point tracking signal.
[0088] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including instructions that can be executed by a processor in a terminal to complete the above-described method for processing floating-point tracking signals. For example, the computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, or optical data storage device.
[0089] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.
[0090] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method for processing floating-point tracking signals, characterized in that, The method steps include: S1: Acquire floating-point tracking signal data of equipment or material status; the characteristics of floating-point tracking signal data are that when there is no response, the signal is flat and stable with a unique amplitude, and when a response occurs, the signal waveform oscillates violently, with indistinct rising and falling edges, and the amplitude of each waveform segment is not equal. S2: Perform feature analysis on the data of the floating-point tracking signal to obtain feature information, and calculate the index of the floating-point tracking signal based on the feature information; the index includes: rise and fall time and signal amplitude; the feature information includes: stability features and oscillation features; wherein, the method for judging stability features and oscillation features is: the signal is smooth and stable when there is no response, and the signal waveform oscillates violently when a response occurs; In step S2, the floating-point signal index calculation of the feature information includes: Based on the obtained stability and oscillation characteristics, determine the rise and fall times of the floating-point tracking signal and calculate the signal amplitude of the floating-point tracking signal; The determination of the rise and fall times of the floating-point tracking signal includes: Choose any point in time on the time axis as the center point, extract data within a preset range, and calculate the variance of the data within the preset range. The calculated value of the variance is the degree of waveform fluctuation within the extracted range. Set a waveform fluctuation limit value, compare the calculated value of the variance with the waveform fluctuation limit value, and determine that there is no response when the calculated value of the variance is less than the waveform fluctuation limit value; determine that a response occurs when the calculated value of the variance is greater than the waveform fluctuation limit value. The time points corresponding to the center points of the preset range are advanced one by one in chronological order. The response state corresponding to each center point is recorded. When the response state changes from no response to response, it is determined to be the rising edge time. When the response state changes from response to no response, it is determined to be the falling edge time. Each rising edge and the next falling edge together constitute a band. Bands with too small a spacing are merged, and bands with too small an amplitude and band width are deleted. S3: Obtain the index calculation results of the floating-point tracking signal, convert the floating-point tracking signal into a Boolean tracking signal based on the calculation results, and complete the processing of the floating-point tracking signal.
2. The method according to claim 1, characterized in that, In step S1, the data for acquiring floating-point tracking signals of equipment or material status includes: Data on floating-point tracking signals of equipment or material status can be collected through signal acquisition equipment at the production site, or data on floating-point tracking signals of equipment or material status can be obtained by extracting historical signal data.
3. The method according to claim 1, characterized in that, The calculation of the signal amplitude of the floating-point tracking signal includes: In any selected segment of the floating-point tracking signal waveform, multiple height values are selected at fixed intervals within the height range containing all data points as height center points. Data is extracted from the same upper and lower height ranges of the multiple height center points, and the number of extracted data is calculated. The height value of the height center point with the most data is determined as the signal amplitude of the selected segment of the waveform; wherein, the height range is greater than or equal to the selection interval of the height center points.
4. The method according to claim 1, characterized in that, In step S3, the index calculation result of the floating-point tracking signal is obtained, and the floating-point tracking signal is converted into a Boolean tracking signal based on the calculation result for output, thus completing the processing of the floating-point tracking signal, including: Based on the rise and fall times and signal amplitude of the floating-point tracking signal, the data between the rise and fall times of the floating-point tracking signal is output as the signal amplitude, and other signals are output as 0, thus integrating and processing the waveform of the floating-point tracking signal. Based on the integrated floating-point tracking signal, the data between the rising and falling edges is output as 1, and other signals are output as 0. The integrated floating-point tracking signal is converted into a Boolean tracking signal for output, thus completing the processing of the floating-point tracking signal.
5. A processing device for floating-point tracking signals, characterized in that, The apparatus is applicable to the method of any one of claims 1-4, and the apparatus comprises: The data acquisition module is used to acquire floating-point tracking signals of equipment or material status. The feature analysis module is used to perform feature analysis on the data of the floating-point tracking signal to obtain feature information, and to calculate the index of the floating-point tracking signal based on the feature information; the index includes: rise and fall time and signal amplitude; The signal conversion module is used to obtain the index calculation results of the floating-point tracking signal, convert the floating-point tracking signal into a Boolean tracking signal based on the calculation results, and complete the processing of the floating-point tracking signal.
6. The apparatus according to claim 5, characterized in that, The data acquisition module is further used to acquire floating-point tracking signal data of equipment or material status through signal acquisition equipment at the production site, or to acquire floating-point tracking signal data of equipment or material status by extracting historical signal data.
7. The apparatus according to claim 5, characterized in that, The feature information includes: stability features and oscillation features; wherein, the stability features and oscillation features are determined as follows: when there is no response, the signal is smooth and stable, and when a response occurs, the signal waveform oscillates violently.