Instrument electric signal detection system

Abstract

The invention discloses an instrument electric signal detection system, which comprises a signal acquisition module, a signal processing module, a data display module and a data storage library, and relates to the technical field of electric signal detection. According to the instrument electric signal detection system, the voltage waveform curve graph is established according to the converted digital signals, the change trend of the corresponding digital signals is determined according to the curve processing algorithm, a plurality of zero crossing points in the change process are searched, then curve segmentation operation is carried out with each zero crossing point as a node, and the segmented curves are covered. According to the method, the signal change period is determined, and the corresponding calculation period is compared with the set period of the output source, so that the electric signal detection efficiency is improved, meanwhile, the accuracy of a data result is verified, the detection operation can be quickly distinguished aiming at waveform change data, and actual application is facilitated.

Description

Technical Field

[0001] The invention relates to the technical field of electric signal detection, in particular to an instrument electric signal detection system. Background Art

[0002] In industrial production and scientific research, the detection and processing of instrument electrical signals is a crucial link. Traditional electrical signal detection systems often have problems such as low detection accuracy and poor anti-interference ability.

[0003] The reference patent name is: An instrument electrical signal detection system (patent publication number: CN219552637U, patent publication date: 2023-08-18), including a main control unit, a standard control unit, a standard detection unit, a connection unit to be tested, a communication unit to be tested and a control unit to be tested; the standard control unit includes at least two standard interfaces and a detection interface, the standard detection unit is electrically connected to at least one standard interface, and the detection interface is electrically connected to the detection circuit; the connection unit to be tested is electrically connected to the detection circuit, and is provided with a signal connection position to be tested, and the control unit to be tested is controlled to be connected to the connection unit to be tested; the communication unit to be tested is connected to the instrument to be tested and the control unit to be tested; the main control unit is respectively connected to the standard detection unit, the standard control unit and the control unit to be tested; the present application can exclude non-essential standard detection units and instruments to be tested from participating in the detection connection as needed, and perform controllable management of the standard detection units and the instruments to be tested.

[0004] Based on the description in the above-mentioned documents, in the existing instrument electrical signal detection process, although the electrical signal can be identified, it is unable to accurately measure the various data of the electrical signal, and will be interfered by other external signals. In addition, there is a large error between the result after detection and the actual setting result. At the same time, the detection process will be affected by the change of the zero point. For this reason, the present invention provides an instrument electrical signal detection system. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides an instrument electrical signal detection system, which solves the problem that in the existing instrument electrical signal detection process, although the electrical signal can be identified, it is unable to accurately measure the various data of the electrical signal, and will be interfered by other external signals. In addition, there is a large error between the result after detection and the actual setting result. At the same time, the detection process will be affected by the change of the zero point.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an instrument electrical signal detection system, comprising:

[0007] A signal acquisition module is used to scan and collect the electrical signals output by the instrument, remotely transmit the collected electrical signals, and store them in a data storage library;

[0008] The signal processing module is used to realize the conversion of electrical signals and perform signal processing operations, including:

[0009] A signal conversion unit converts the received electrical signal into a voltage or current signal and conditions it into a digital signal for use;

[0010] The curve establishment unit establishes a voltage waveform curve graph according to the converted digital signal, determines the change trend of the corresponding digital signal according to the curve processing algorithm, finds multiple zero-crossing points in the change process, and then performs curve segmentation operation based on each zero-crossing point as a node;

[0011] The cycle calculation unit realizes coverage according to the segmented curve, thereby determining the cycle of signal change, and compares the corresponding calculation cycle with the set cycle of the output source to determine the accuracy of the detection;

[0012] The data display module displays the signal feedback data of the processing process in real time for users to observe, and realizes remote operation through touch control;

[0013] The data repository is used to store the collected signal data, the set signal data and the processed signal data.

[0014] Preferably, the signal conversion unit performs the digital signal conversion operation as follows:

[0015] A1. First, the continuously collected electrical signal is discretized, and the sampling frequency is kept at twice the highest frequency of the signal, and then multiple groups of sample values ​​with fixed time intervals are formed;

[0016] A2, then mapping the continuous amplitude value in each sample value to a discrete level to achieve quantization operation;

[0017] A3. Finally, the quantized discrete values ​​are converted into binary codes in binary form to form the required digital signal.

[0018] Preferably, the curve establishing unit establishes the voltage waveform curve graph according to the converted digital signal by:

[0019] B1. First, the X-axis is established with the change of time, and then the Y-axis is established with the change of voltage value, and the starting point of the X-axis intersects with the starting point of the Y-axis to form a coordinate system about the change of time and voltage value;

[0020] B2. Then, the numerical changes of the digital signal corresponding to the acquisition node are introduced into the coordinate system in sequence, and the curve connection operation of each data point is implemented in sequence, so as to form a voltage waveform curve diagram of the digital signal.

[0021] Preferably, the specific operation of the curve processing algorithm is:

[0022] C1. First determine whether the voltage waveform is a regular waveform or an irregular waveform, retain the regular waveform and remove the irregular waveform;

[0023] C2. Then, a window function is established and labeled as F(m, n), and the window function F(m, n) is used to perform recognition on the regular waveform curve, and then the curve segment in the recognition window is analyzed to determine whether it contains a peak value and a zero-crossing point. If it contains a peak value and a zero-crossing point, the next recognition operation is performed;

[0024] C3. If it does not contain the peak value and the zero-crossing point, the window function F(m, n) is immediately expanded, and the curve segment in the expanded identification window is re-analyzed until the peak value and the zero-crossing point features are included, and the next identification operation of the window function F(m, n) is performed, and the peak point and the zero-crossing point in the changing process are marked.

[0025] Preferably, the operation of performing curve segment recognition analysis by the window function F(m, n) in C2 is:

[0026] c21, identifying the changing trend of the curve segment feature in the window, and then observing whether the curve segment feature passes through the X-axis and intersects with the X-axis;

[0027] c22, and the corresponding results are:

[0028] Result 1: If the curve segment features a trend of rising first and then falling or falling first and then rising, and does not intersect the X-axis, there is only a single peak point and no zero crossing point, then the extended function needs to be further analyzed;

[0029] Result 2: If the curve segment features show a trend of rising first and then falling or falling first and then rising, and intersects with the X-axis, there is only a single peak point, and there is a zero-crossing point, and the extended function is also needed to continue the analysis;

[0030] Result 3: If the curve segment features an upward or downward trend and does not intersect the X-axis, there is no peak point or zero crossing point, and the extended function is also needed to continue the analysis;

[0031] Result 4: If the curve segment features show an upward or downward trend and intersect with the X-axis, there is no peak point and a zero crossing point, and the extended function is also needed to continue the analysis;

[0032] Result 5: If the curve segment features first rise, then fall, then rise again or first fall, then rise, then fall again, and intersect with the X-axis, there are two peak points and a zero crossing point, and no expansion function is needed;

[0033] c23. When result five is satisfied, the window function is initialized, and the window function is moved from the right side of the previously identified window to start the next window identification operation.

[0034] Preferably, the expansion operation of the window function F(m, n) in C2 is:

[0035] c31. After the curve segment in the window is identified by the window function F(m, n) as not having peak and zero-crossing features, an expansion operation is performed on the window function F(m, n);

[0036] c32. Expand the window function F(m, n) to F(m+x, n+y), where m represents the horizontal length of the identified window and the X-axis, and n represents the horizontal width of the identified window and the Y-axis, and x is the length of the extension of the identification window, and y is the width of the extension of the identification window. Then, F(m+x, n+y) is used to identify the features in the window. If it is the case of c21 operation, continue to expand to form F(m+kx, n+ky), where K represents the number of expansions until the peak and the zero crossing are included.

[0037] Preferably, the expression of the window function is:

[0038]

[0039] And S represents a waveform curve, S→F(m, n) represents the recognition and extraction of the waveform curve by the window function, It represents the expansion generation operation of the recognition window. When the recognized content does not have the features of two peak points and zero-crossing points, it is automatically expanded to form F(m+kx, n+ky) for recognition and extraction. The expansion operation is stopped after the requirements are met.

[0040] Preferably, the period calculation unit determines the period operation of the signal change as follows:

[0041] D1. Segment the curve segment according to the marked zero-crossing point and peak point, and align the curve segment from the peak point to the zero-crossing point or the curve segment from the zero-crossing point to the peak point with the starting point of the subsequent adjacent curve segment according to the characteristics of the segmented curve segment;

[0042] D2. Then compare the curve segments. If the two curve segments coincide, the time interval between the zero-crossing point and the peak point is calculated. If the two curve segments do not coincide, the first curve segment and the second curve segment are combined, and the combined curve segment is compared with the subsequent adjacent combined curve segment. If they coincide, the time interval between the adjacent peak points or the adjacent zero-crossing points is calculated. If they do not coincide, the subsequent adjacent single curve segments are combined on the combined curve segment until the final combined curve segment coincides with the subsequent adjacent curve segments with the same number of segments, that is, the corresponding time interval is obtained.

[0043] D3. Then calculate the period according to the time interval, and then compare the period with the set threshold of the output source.

[0044] Preferably, the calculation formula of the period in D3 is:

[0045] T=[w*(t1+t2+…+t j )] / j;

[0046] T is the average period, and w is the scanning rate of the signal, t j Denoted as the j-th period t.

[0047] Preferably, the operation of predicting the zero-crossing point according to the corresponding curve segment in the detection process is:

[0048] E1. After finding the first zero-crossing point according to the curve segment, the time taken by the subsequent adjacent curve segment to pass through the next zero-crossing point is used as the zero-crossing interval time each time;

[0049] E2. The zero-crossing switching adjustment time in actual operation is used as the compensation time, and then the prediction node from the beginning of the next adjacent curve segment to the start of zero-crossing control can be obtained according to the difference between the zero-crossing interval time and the compensation time.

[0050] The present invention provides an instrument electrical signal detection system. Compared with the prior art, it has the following beneficial effects:

[0051] (1) The electrical signal detection system of the instrument establishes a voltage waveform curve diagram based on the converted digital signal, determines the change trend of the corresponding digital signal based on the curve processing algorithm, finds multiple zero-crossing points in the change process, and then performs curve segmentation operation based on each zero-crossing point as a node, covers the segmented curve, thereby determining the cycle of signal change, and compares the corresponding calculation cycle with the set cycle of the output source, thereby improving the efficiency of electrical signal detection, and verifying the accuracy of the data results, so that the detection operation can quickly distinguish the waveform change data, which is convenient for practical application.

[0052] (2) The electrical signal detection system of the instrument discretizes the continuously collected electrical signals, and the sampling frequency is kept at twice the highest frequency of the signal, and then forms multiple groups of sample values ​​with fixed time intervals, and then maps the continuous amplitude value in each sample value to a discrete level to achieve quantization operation, thereby realizing the operation of converting the electrical signal into a digital signal, thereby effectively avoiding interference from other signals and improving the accuracy of the detection operation.

[0053] (3) The instrument electrical signal detection system establishes a window function to identify the regular waveform curve, and then analyzes whether the curve segment in the recognition window contains peak values ​​and zero crossing points, thereby realizing the expansion of the window function and the extraction of features. This can not only predict the zero crossing points in subsequent operations in advance and reduce the impact of zero crossings during detection, but also calculate the data, calculate with multiple cycles and check with the initial setting cycle, determine and verify the accuracy of the detection and improve the fault tolerance rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a principle block diagram of the electric signal detection system of the present invention;

[0055] Figure 2 is an operation flow chart of the signal conversion unit of the present invention;

[0056] Figure 3 is an operation flow chart of the curve processing algorithm of the present invention;

[0057] Figure 4 It is a schematic diagram of a voltage waveform curve of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] See also Figure 1-Figure 4 , the present invention provides three technical solutions:

[0060] Embodiment 1: An instrument electrical signal detection system, comprising:

[0061] A signal acquisition module is used to scan and collect the electrical signals output by the instrument, remotely transmit the collected electrical signals, and store them in a data storage library;

[0062] The signal processing module is used to realize the conversion of electrical signals and perform signal processing operations, including:

[0063] A signal conversion unit converts the received electrical signal into a voltage or current signal and conditions it into a digital signal for use;

[0064] The curve establishment unit establishes a voltage waveform curve graph according to the converted digital signal, determines the change trend of the corresponding digital signal according to the curve processing algorithm, finds multiple zero-crossing points in the change process, and then performs curve segmentation operation based on each zero-crossing point as a node;

[0065] The cycle calculation unit realizes coverage according to the segmented curve, thereby determining the cycle of signal change, and compares the corresponding calculation cycle with the set cycle of the output source to determine the accuracy of the detection;

[0066] The data display module displays the signal feedback data of the processing process in real time for users to observe, and realizes remote operation through touch control;

[0067] The data repository is used to store the collected signal data, the set signal data and the processed signal data.

[0068] By establishing a voltage waveform graph based on the converted digital signal, determining the change trend of the corresponding digital signal based on the curve processing algorithm, finding multiple zero-crossing points in the change process, and then performing curve segmentation operations based on each zero-crossing point as a node, the segmented curves are covered to determine the cycle of signal change, and comparing the corresponding calculation cycle with the set cycle of the output source, the efficiency of electrical signal detection is improved, and the accuracy of the data results is verified at the same time, so that the detection operation can quickly distinguish the waveform change data, which is convenient for practical applications.

[0069] In the embodiment of the present invention, the signal conversion unit performs the digital signal conversion operation as follows:

[0070] A1. First, the continuously collected electrical signal is discretized, and the sampling frequency is kept at twice the highest frequency of the signal, and then multiple groups of sample values ​​with fixed time intervals are formed;

[0071] A2, then mapping the continuous amplitude value in each sample value to a discrete level to achieve quantization operation;

[0072] A3. Finally, the quantized discrete values ​​are converted into binary codes in binary form to form the required digital signal.

[0073] By discretizing the continuously collected electrical signal and keeping the sampling frequency at twice the highest frequency of the signal, multiple groups of sample values ​​with fixed time intervals are formed, and then the continuous amplitude value in each sample value is mapped to a discrete level to achieve quantization operation, thereby realizing the operation of converting the electrical signal into a digital signal, thereby effectively avoiding interference from other signals and improving the accuracy of the detection operation.

[0074] In the embodiment of the present invention, the curve establishing unit establishes the voltage waveform curve graph according to the converted digital signal as follows:

[0075] B1. First, the X-axis is established with the change of time, and then the Y-axis is established with the change of voltage value, and the starting point of the X-axis intersects with the starting point of the Y-axis to form a coordinate system about the change of time and voltage value;

[0076] B2. Then, the numerical changes of the digital signal corresponding to the acquisition node are introduced into the coordinate system in sequence, and the curve connection operation of each data point is implemented in sequence, so as to form a voltage waveform curve diagram of the digital signal.

[0077] In the embodiment of the present invention, the specific operation of the curve processing algorithm is:

[0078] C1. First determine whether the voltage waveform is a regular waveform or an irregular waveform, retain the regular waveform and remove the irregular waveform;

[0079] C2. Then, a window function is established and labeled as F(m, n), and the window function F(m, n) is used to perform recognition on the regular waveform curve, and then the curve segment in the recognition window is analyzed to determine whether it contains a peak value and a zero-crossing point. If it contains a peak value and a zero-crossing point, the next recognition operation is performed;

[0080] C3. If it does not contain the peak value and the zero-crossing point, the window function F(m, n) is immediately expanded, and the curve segment in the expanded identification window is re-analyzed until the peak value and the zero-crossing point features are included, and the next identification operation of the window function F(m, n) is performed, and the peak point and the zero-crossing point in the changing process are marked.

[0081] In the embodiment of the present invention, the operation of the window function F(m, n) in C2 for curve segment recognition analysis is:

[0082] c21, identifying the changing trend of the curve segment feature in the window, and then observing whether the curve segment feature passes through the X-axis and intersects with the X-axis;

[0083] c22, and the corresponding results are:

[0084] Result 1: If the curve segment features a trend of rising first and then falling or falling first and then rising, and does not intersect the X-axis, there is only a single peak point and no zero crossing point, then the extended function needs to be further analyzed;

[0085] Result 2: If the curve segment features show a trend of rising first and then falling or falling first and then rising, and intersects with the X-axis, there is only a single peak point, and there is a zero-crossing point, and the extended function is also needed to continue the analysis;

[0086] Result 3: If the curve segment features an upward or downward trend and does not intersect the X-axis, there is no peak point or zero crossing point, and the extended function is also needed to continue the analysis;

[0087] Result 4: If the curve segment features show an upward or downward trend and intersect with the X-axis, there is no peak point and a zero crossing point, and the extended function is also needed to continue the analysis;

[0088] Result 5: If the curve segment features first rise, then fall, then rise again or first fall, then rise, then fall again, and intersect with the X-axis, there are two peak points and a zero crossing point, and no expansion function is needed;

[0089] c23. When result five is satisfied, the window function is initialized, and the window function is moved from the right side of the previously identified window to start the next window identification operation.

[0090] In the embodiment of the present invention, the expansion operation of the window function F(m, n) in C2 is:

[0091] c31. After the curve segment in the window is identified by the window function F(m, n) as not having peak and zero-crossing features, an expansion operation is performed on the window function F(m, n);

[0092] c32. Expand the window function F(m, n) to F(m+x, n+y), where m represents the horizontal length of the identified window and the X-axis, and n represents the horizontal width of the identified window and the Y-axis, and x is the length of the extension of the identification window, and y is the width of the extension of the identification window. Then, F(m+x, n+y) is used to identify the features in the window. If it is the case of c21 operation, continue to expand to form F(m+kx, n+ky), where K represents the number of expansions until the peak and the zero crossing are included.

[0093] In the embodiment of the present invention, the expression of the window function is:

[0094]

[0095] And S represents a waveform curve, S→F(m, n) represents the recognition and extraction of the waveform curve by the window function, It represents the expansion generation operation of the recognition window. When the recognized content does not have the features of two peak points and zero-crossing points, it is automatically expanded to form F(m+kx, n+ky) for recognition and extraction. The expansion operation is stopped after the requirements are met.

[0096] In the embodiment of the present invention, the period calculation unit determines the period operation of the signal change as follows:

[0097] D1. Segment the curve segment according to the marked zero-crossing point and peak point, and align the curve segment from the peak point to the zero-crossing point or the curve segment from the zero-crossing point to the peak point with the starting point of the subsequent adjacent curve segment according to the characteristics of the segmented curve segment;

[0098] D2. Then compare the curve segments. If the two curve segments coincide, the time interval between the zero-crossing point and the peak point is calculated. If the two curve segments do not coincide, the first curve segment and the second curve segment are combined, and the combined curve segment is compared with the subsequent adjacent combined curve segment. If they coincide, the time interval between the adjacent peak points or the adjacent zero-crossing points is calculated. If they do not coincide, the subsequent adjacent single curve segments are combined on the combined curve segment until the final combined curve segment coincides with the subsequent adjacent curve segments with the same number of segments, that is, the corresponding time interval is obtained.

[0099] D3. Then calculate the period according to the time interval, and then compare the period with the set threshold of the output source.

[0100] By establishing a window function to perform recognition on a regular waveform curve, and then analyzing whether the curve segment in the recognition window contains peak values ​​and zero crossings, the window function can be expanded and features extracted. This not only allows the zero crossings in subsequent operations to be predicted in advance and the impact of zero crossings during detection to be reduced, but also allows the data to be calculated over multiple cycles and compared with the initial set cycle to determine and verify the accuracy of the detection and improve the fault tolerance rate.

[0101] In the embodiment of the present invention, the calculation formula of the period in D3 is:

[0102] T=[w*(t1+t2+…+t j )] / j;

[0103] T is the average period, and w is the scanning rate of the signal, t j Denoted as the j-th period t.

[0104] In the embodiment of the present invention, the operation of predicting the zero-crossing point according to the corresponding curve segment during the detection process is:

[0105] E1. After finding the first zero-crossing point according to the curve segment, the time taken by the subsequent adjacent curve segment to pass through the next zero-crossing point is used as the zero-crossing interval time each time;

[0106] E2. The zero-crossing switching adjustment time in actual operation is used as the compensation time, and then the prediction node from the beginning of the next adjacent curve segment to the start of zero-crossing control can be obtained according to the difference between the zero-crossing interval time and the compensation time.

[0107] Embodiment 2 is different from Embodiment 1 in that the period set in the present invention is 2s, and the allowable error range is 0.001s. The average period calculated by the detection of the present invention is 2.00015s, and the set period and the period finally calculated and checked are within the error range. Therefore, the electrical signal detection accuracy of the present invention is higher.

[0108] Embodiment 3 is different from Embodiment 1 and Embodiment 2 in that: a plurality of different electrical signals are synchronously detected by the existing instrument electrical signal detection system and the instrument electrical signal detection system of the present invention, and the data in the detection process are recorded, and the obtained results are shown in Table 1:

[0109] Completion time Digital signal error rate Result accuracy Existing signal detection system 2.5h 13.5％ 86.4％ Signal detection system of the present invention 1h 2.8％ 99.5％

[0110] To sum up, in the process of signal detection by the instrument electrical signal detection system of the present invention, the time required to complete the detection is shorter, and the error rate in the process of signal acquisition is lower, so the probability of being affected by the outside world is lower. At the same time, the accuracy of the final detection and calculation results is higher, so the obtained detection results are more accurate. Therefore, the instrument electrical signal detection system of the present invention can be better applied to actual operations.

[0111] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0112] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0113] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An instrument electrical signal detection system, characterized in that: include: A signal acquisition module is used to scan and collect the electrical signals output by the instrument, remotely transmit the collected electrical signals, and store them in a data storage library; The signal processing module is used to realize the conversion of electrical signals and perform signal processing operations, including: A signal conversion unit converts the received electrical signal into a voltage or current signal and conditions it into a digital signal for use; The curve establishment unit establishes a voltage waveform curve graph according to the converted digital signal, determines the change trend of the corresponding digital signal according to the curve processing algorithm, finds multiple zero-crossing points in the change process, and then performs curve segmentation operation based on each zero-crossing point as a node; The cycle calculation unit realizes coverage according to the segmented curve, thereby determining the cycle of signal change, and compares the corresponding calculation cycle with the set cycle of the output source to determine the accuracy of the detection; The data display module displays the signal feedback data of the processing process in real time for users to observe, and realizes remote operation through touch control; The data repository is used to store the collected signal data, the set signal data and the processed signal data.

2. The instrument electrical signal detection system according to claim 1, characterized in that: The signal conversion unit performs the digital signal conversion operation as follows: A1. First, the continuously collected electrical signal is discretized, and the sampling frequency is kept at twice the highest frequency of the signal, and then multiple groups of sample values ​​with fixed time intervals are formed; A2, then mapping the continuous amplitude value in each sample value to a discrete level to achieve quantization operation; A3. Finally, the quantized discrete values ​​are converted into binary codes in binary form to form the required digital signal.

3. The instrument electrical signal detection system according to claim 1, characterized in that: The curve establishing unit establishes a voltage waveform curve graph according to the converted digital signal as follows: B1. First, the X-axis is established with the change of time, and then the Y-axis is established with the change of voltage value, and the starting point of the X-axis intersects with the starting point of the Y-axis to form a coordinate system about the change of time and voltage value; B2. Then, the numerical changes of the digital signal corresponding to the acquisition node are introduced into the coordinate system in sequence, and the curve connection operation of each data point is implemented in sequence, so as to form a voltage waveform curve diagram of the digital signal.

4. The instrument electrical signal detection system according to claim 3, characterized in that: The specific operation of the curve processing algorithm is: C1. First determine whether the voltage waveform is a regular waveform or an irregular waveform, retain the regular waveform and remove the irregular waveform; C2. Then, a window function is established and labeled as F(m, n), and the window function F(m, n) is used to perform recognition on the regular waveform curve, and then the curve segment in the recognition window is analyzed to determine whether it contains a peak value and a zero-crossing point. If it contains a peak value and a zero-crossing point, the next recognition operation is performed; C3. If it does not contain the peak value and the zero-crossing point, the window function F(m, n) is immediately expanded, and the curve segment in the expanded identification window is re-analyzed until the peak value and the zero-crossing point features are included, and the next identification operation of the window function F(m, n) is performed, and the peak point and the zero-crossing point in the changing process are marked.

5. The instrument electrical signal detection system according to claim 4, characterized in that: The operation of the window function F(m, n) in C2 for curve segment recognition analysis is: c21, identifying the changing trend of the curve segment feature in the window, and then observing whether the curve segment feature passes through the X-axis and intersects with the X-axis; c22, and the corresponding results are: Result 1: If the curve segment features a trend of rising first and then falling or falling first and then rising, and does not intersect the X-axis, there is only a single peak point and no zero crossing point, then the extended function needs to be further analyzed; Result 2: If the curve segment features show a trend of rising first and then falling or falling first and then rising, and intersects with the X-axis, there is only a single peak point, and there is a zero-crossing point, and the extended function is also needed to continue the analysis; Result 3: If the curve segment features an upward or downward trend and does not intersect the X-axis, there is no peak point or zero crossing point, and the extended function is also needed to continue the analysis; Result 4: If the curve segment features show an upward or downward trend and intersect with the X-axis, there is no peak point and a zero crossing point, and the extended function is also needed to continue the analysis; Result 5: If the curve segment features first rise, then fall, then rise again or first fall, then rise, then fall again, and intersect with the X-axis, there are two peak points and a zero crossing point, and no expansion function is needed; c23. When result five is satisfied, the window function is initialized, and the window function is moved from the right side of the previously identified window to start the next window identification operation.

6. The instrument electrical signal detection system according to claim 5, characterized in that: The expansion operation of the window function F(m, n) in C2 is: c31. After the curve segment in the window is identified by the window function F(m, n) as not having peak and zero-crossing features, an expansion operation is performed on the window function F(m, n); c32. Expand the window function F(m, n) to F(m+x, n+y), where m represents the horizontal length of the identified window and the X-axis, and n represents the horizontal width of the identified window and the Y-axis, and x is the length of the extension of the identification window, and y is the width of the extension of the identification window. Then, F(m+x, n+y) is used to identify the features in the window. If it is the case of c21 operation, continue to expand to form F(m+kx, n+ky), where K represents the number of expansions until the peak and the zero crossing are included.

7. The instrument electrical signal detection system according to claim 6, characterized in that: The expression of the window function is: And S represents a waveform curve, S→F(m, n) represents the recognition and extraction of the waveform curve by the window function, It represents the expansion generation operation of the recognition window. When the recognized content does not have the features of two peak points and zero-crossing points, it is automatically expanded to form F(m+kx, n+ky) for recognition and extraction. The expansion operation is stopped after the requirements are met.

8. The instrument electrical signal detection system according to claim 4, characterized in that: The cycle calculation unit determines the cycle operation of the signal change as follows: D1. Segment the curve segment according to the marked zero-crossing point and peak point, and align the curve segment from the peak point to the zero-crossing point or the curve segment from the zero-crossing point to the peak point with the starting point of the subsequent adjacent curve segment according to the characteristics of the segmented curve segment; D2. Then compare the curve segments. If the two curve segments coincide, the time interval between the zero-crossing point and the peak point is calculated. If the two curve segments do not coincide, the first curve segment and the second curve segment are combined, and the combined curve segment is compared with the subsequent adjacent combined curve segment. If they coincide, the time interval between the adjacent peak points or the adjacent zero-crossing points is calculated. If they do not coincide, the subsequent adjacent single curve segments are combined on the combined curve segment until the final combined curve segment coincides with the subsequent adjacent curve segments with the same number of segments, that is, the corresponding time interval is obtained. D3. Then calculate the period according to the time interval, and then compare the period with the set threshold of the output source.

9. The instrument electrical signal detection system according to claim 8, characterized in that: The calculation formula of the period in D3 is: T=[w*(t1+t2+…+t j )] / j; T is the average period, and w is the scanning rate of the signal, t j Denoted as the j-th period t.

10. The instrument electrical signal detection system according to claim 1, characterized in that: The operation of predicting the zero-crossing point according to the corresponding curve segment in the detection process is as follows: E1. After finding the first zero-crossing point according to the curve segment, the time taken by the subsequent adjacent curve segment to pass through the next zero-crossing point is used as the zero-crossing interval time each time; E2. The zero-crossing switching adjustment time in actual operation is used as the compensation time, and then the prediction node from the beginning of the next adjacent curve segment to the start of zero-crossing control can be obtained according to the difference between the zero-crossing interval time and the compensation time.

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