Blade detection method and related equipment

Abstract

The invention discloses a blade detection method and related equipment, and relates to the field of tool detection. A target detection electric signal meeting a preset condition and corresponding to a to-be-detected blade is obtained, signal processing is conducted on the target detection electric signal, a damage factor corresponding to the to-be-detected blade is obtained, and the damage factor is a parameter representing the damage condition of the to-be-detected blade; judging whether the damage factor meets a preset damage condition or not, wherein the preset damage condition is determined according to an electric signal corresponding to the damaged blade; and under the condition that the damage factor meets a preset damage condition, sending a detection result indicating that the to-be-detected blade is damaged to the front end. The damage condition of the to-be-detected blade is detected comprehensively, the influence of interference signals on the detection result is reduced, and the blade detection accuracy is improved.

Description

Technical Field

[0001] The present application relates to the technical field of cutting tools, and more specifically, to a blade detection method and related equipment. Background Art

[0002] Cutting tools are important tools for cutting, grinding and forming, which can ensure that the workpieces meet the predetermined shape, size and precision requirements. Therefore, cutting tools are widely used in various machining fields, such as chip cutting, automobile manufacturing, etc. However, cutting tools are key consumables in machining. If the blades in the cutting tools are damaged or notched, if they are not detected and replaced in time, it may cause machining interruption or extend the production cycle, reduce production quality, etc.

[0003] The existing blade inspection method usually uses a light source to irradiate from one side of the blade and collect the light flux on the other side of the blade to detect the blade. If the light flux on the other side of the blade is different from the light amount of the light source, it can be determined that the blade being inspected has a notch. However, since water droplets, dirt, etc. on the blade will also affect the light flux of the blade, the existing blade inspection method is prone to detect a defective blade as a defective blade, and the inspection accuracy is low. Therefore, a blade inspection method is urgently needed to improve the accuracy of blade inspection. Summary of the invention

[0004] In view of the above problems, the present application provides a blade detection method and related equipment to achieve the purpose of improving the accuracy of blade detection. The specific scheme is as follows:

[0005] A first aspect of the present application provides a blade detection method, comprising:

[0006] Acquire a target detection electrical signal corresponding to the blade to be detected, wherein the target detection electrical signal is a detection electrical signal that meets a preset condition, wherein the detection electrical signal is an electrical signal obtained by converting an optical signal that is not blocked by the blade to be detected in a received light source signal by an optical signal receiving module in the blade detection device, wherein the preset condition at least includes: the detection electrical signal includes a preset number of sampling points, and every two adjacent sampling points are continuous;

[0007] Processing the target detection electrical signal to obtain a damage factor corresponding to the blade to be detected, wherein the damage factor is a parameter characterizing the damage condition of the blade to be detected;

[0008] Determining whether the damage factor satisfies a preset damage condition, wherein the preset damage condition is determined according to an electrical signal corresponding to a damaged blade;

[0009] When the damage factor satisfies the preset damage condition, a detection result indicating that the blade to be detected is damaged is sent to the front end.

[0010] In a possible implementation, the blade detection method further includes:

[0011] In the case that the damage factor does not satisfy the preset damage condition, a detection result indicating that the blade to be detected is not damaged is sent to the front end.

[0012] In a possible implementation, the processing of the target detection electrical signal to obtain the damage factor corresponding to the blade to be detected includes:

[0013] Filtering signals whose signal values ​​in the target detection electrical signal exceed a preset signal value range to obtain an interference-free electrical signal;

[0014] The interference-free electrical signal is processed to obtain a damage factor corresponding to the blade to be detected.

[0015] In a possible implementation, the damage factor includes at least: a damage area coefficient, a damage degree coefficient, a damage mutation coefficient, and an interference superposition coefficient;

[0016] The damaged area coefficient is used to characterize the damaged area of ​​the blade to be detected;

[0017] The damage degree coefficient is used to characterize the damage degree of the blade to be tested;

[0018] The damage mutation coefficient is used to characterize the damage change of the blade to be tested;

[0019] The interference superposition coefficient is used to characterize the change of the electrical signal after the blade to be detected is superimposed with a preset interference.

[0020] In a possible implementation, the damaged area coefficient includes: a deviation area value, the deviation area value being an area where a signal value of the target detection electrical signal is greater than a preset electrical signal threshold value;

[0021] The damage degree coefficient includes: a signal deviation degree value and a signal dispersion degree value, wherein the signal deviation degree value is used to characterize the degree of deviation of the signal value in the target detection electrical signal from the average signal value, and the signal dispersion degree value is used to characterize the degree of dispersion of the signal value in the target detection electrical signal from the average signal value;

[0022] The damage mutation coefficient includes: a signal change value, which is used to characterize the change between continuous signals in the target detection electrical signal;

[0023] The interference superposition coefficient includes: a first change value and a second change value, the first change value is used to characterize the sharpness or flatness of the signal fluctuation corresponding to the target detection electrical signal after the preset interference signal is superimposed; the second change value is used to characterize the degree of deflection of the signal fluctuation corresponding to the target detection electrical signal after the preset interference signal is superimposed.

[0024] In a possible implementation, the determining whether the damage factor satisfies a preset damage condition includes:

[0025] Obtaining preset threshold conditions corresponding to the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient respectively;

[0026] Determine whether the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient meet the corresponding preset threshold conditions;

[0027] When the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient all fail to meet the corresponding preset threshold conditions, it is determined that the damage factor does not meet the preset damage condition;

[0028] When any one of the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient satisfies the corresponding preset threshold condition, it is determined that the damage factor satisfies the preset damage condition.

[0029] In a possible implementation, obtaining a target detection electrical signal corresponding to the blade to be detected includes:

[0030] Acquire an initial detection electrical signal corresponding to the blade to be detected, wherein the initial detection electrical signal includes detection electrical signals corresponding to a plurality of detection cycles, wherein the detection cycle is the time for the blade to be detected to rotate one circle;

[0031] At least one of the initial detection electrical signals that meets preset conditions is determined as a target detection electrical signal, wherein the preset conditions at least include: the detection electrical signal includes a preset number of sampling points, every two adjacent sampling points are continuous, and the signal-to-noise ratio of the signal values ​​of all the sampling points does not exceed a preset signal-to-noise ratio threshold.

[0032] A second aspect of the present application provides a blade detection device, comprising:

[0033] a signal acquisition unit, configured to acquire a target detection electrical signal corresponding to a blade to be detected, wherein the target detection electrical signal is a detection electrical signal that meets a preset condition, wherein the detection electrical signal is an electrical signal obtained by converting an optical signal that is not blocked by the blade to be detected in a received light source signal by an optical signal receiving module in the blade detection device, wherein the preset condition at least includes: the detection electrical signal includes a preset number of sampling points, and every two adjacent sampling points are continuous;

[0034] A signal processing unit, configured to process the target detection electrical signal to obtain a damage factor corresponding to the blade to be detected, wherein the damage factor is a parameter characterizing the damage condition of the blade to be detected;

[0035] A condition judgment unit, used to judge whether the damage factor meets a preset damage condition, wherein the preset damage condition is determined according to an electrical signal corresponding to a damaged blade;

[0036] The result output unit is used to send a detection result indicating that the blade to be detected is damaged to the front end when the damage factor meets the preset damage condition.

[0037] A third aspect of the present application provides an electronic device, comprising at least one processor and a memory connected to the processor, wherein:

[0038] The memory is used to store computer programs;

[0039] The processor is used to execute the computer program, so that the electronic device can implement the blade detection method of the first aspect or any implementation manner of the first aspect.

[0040] A fourth aspect of the present application provides a computer storage medium, which carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement the blade detection method of the first aspect or any implementation of the first aspect.

[0041] It can be seen from the above technical solutions that the blade detection method provided in the embodiment of the present application obtains the electrical signal of the blade detection device when detecting the blade to be detected, analyzes the signal characteristics of the electrical signal, extracts the signal characteristics that can represent the damage of the blade, that is, the damage factor, and compares it with the preset conditions, wherein the preset conditions are determined according to the damage factor of the damaged blade. If the preset conditions are met, it means that the blade to be detected is also damaged. Compared with the prior art, which directly alarms the damage after the electrical signal of the blade becomes abnormal, the present application makes a judgment based on the blade damage reflected by the detection electrical signal, avoids the misjudgment caused by a single signal abnormality, can increase the comprehensive analysis of blade damage, reduce the impact of interference signals on the detection results, and improve the accuracy of blade detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0043] Figure 1 A schematic diagram of the structure of a blade detection device provided in an embodiment of the present application;

[0044] Figure 2 A waveform diagram of an electrical signal of a blade provided in an embodiment of the present application;

[0045] Figure 3 A schematic diagram of a flow chart of a blade detection method provided in an embodiment of the present application;

[0046] Figure 4 A schematic diagram of a conditional judgment process provided in an embodiment of the present application;

[0047] Figure 5 A schematic structural diagram of a blade detection device provided in an embodiment of the present application;

[0048] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0050] Reference Figure 1 , a structural schematic diagram of a blade detection device provided in an embodiment of the present application, wherein the blade detection device at least includes: a light source transmitting module and an optical signal receiving module, the light source transmitting module is used to send a light source signal to the optical signal receiving module, the optical signal receiving module is used to convert the light signal in the received light source signal that is not blocked by the blade into an electrical signal, and the blade is placed between the light source transmitting module and the optical signal receiving module.

[0051] The blade detection device may also include: a main shaft, a start button and other components, wherein the main shaft is used to fix the blade to be detected, so that the blade is placed between the light source transmitting module and the optical signal receiving module, and the main shaft can be rotated so that the blade can rotate quickly. The start button is connected to the controller of the blade detection device, and in response to the user pressing the button, the blade detection device is started to detect the blade.

[0052] Specifically, when inspecting the blade to be inspected, the blade to be inspected is fixed by the main shaft so that the edge of the blade is placed between the light source transmitting module and the optical signal receiving module. The light source transmitting module transmits a light source signal with an initial light amount. Due to the obstruction of the blade to be inspected, the optical signal receiving module can only receive the light signal that is not obstructed by the blade to be inspected, and converts the received light signal into an electrical signal, which is convenient for quantization processing of the light signal.

[0053] It can be understood that if the edge of the blade to be detected is not damaged, the amount of light of the light signal collected when the blade to be detected rotates one circle is fixed, that is, the electrical signal is stable. Figure 2 In the waveform diagram of the electrical signal of the blade provided in the embodiment of the present application, the "blade intact and interference-free waveform diagram" shows that the electrical signal is stable, and the signal values ​​corresponding to different time points or sampling points of the electrical signal are almost unchanged. If the edge of the blade to be detected is damaged, the damage to the light source will change during the rotation of the blade to be detected, causing the optical signal received by the optical signal receiving module to change, resulting in fluctuations in the electrical signal. Figure 2 In the “Broken Blade Non-interference Waveform Diagram”, since the amount of light source signal blocked by the blade to be detected at the damaged part changes, the amount of light received by the optical signal receiving module at the damaged part changes compared to the amount of light at the undamaged part, resulting in a sudden change in the signal value in the converted electrical signal.

[0054] Based on this, in the prior art, whether the blade is damaged is determined by whether there is a sudden change in the collected electrical signal. However, it is understandable that during the use of the blade, various parts will experience varying degrees of wear within a controllable range, and the remaining dirt on the blade will cause the electrical signal corresponding to the blade to fluctuate to varying degrees. If the blade is still inspected using the prior art, the probability of false detection is high, and accurate inspection of the blade cannot be achieved.

[0055] In order to solve the above technical problems, the embodiment of the present application provides a blade detection method, which is applied to the processor of the above blade detection device, and optionally, can also be applied to a device capable of processing electrical signals. Figure 3 , a flow chart of implementing a blade detection method provided in an embodiment of the present application illustrates the execution steps of the blade detection method.

[0056] Step S110, obtaining a target detection electrical signal corresponding to the blade to be detected.

[0057] The target detection electrical signal is a detection electrical signal that meets preset conditions. The detection electrical signal is an electrical signal obtained by converting the optical signal that is not blocked by the blade in the received light source signal by the optical signal receiving module in the blade detection device. The preset conditions at least include: the detection electrical signal contains a preset number of sampling points, and every two adjacent sampling points are continuous.

[0058] A preset number of continuous detection signals of every two adjacent sampling points are obtained from the optical signal receiving module, wherein the preset number corresponding to the sampling points can be determined according to the number of sampling points collected by the optical signal receiving module during a rotation of the blade between the light source transmitting module and the optical signal receiving module, so as to ensure the integrity of the collected detection electrical signal.

[0059] In a possible implementation, obtaining a target detection electrical signal corresponding to the blade to be detected includes: obtaining an initial detection electrical signal corresponding to the blade to be detected, the initial detection electrical signal including detection electrical signals corresponding to a plurality of detection cycles, the detection cycle being the time for the blade to be detected to rotate one circle; determining at least one detection electrical signal that meets a preset condition in the initial detection electrical signal as the target detection electrical signal, the preset condition at least including: the detection electrical signal includes a preset number of sampling points, and every two adjacent sampling points are continuous, and the signal-to-noise ratio of the signal values ​​of all sampling points does not exceed a preset signal-to-noise ratio threshold.

[0060] It can be understood that when the blade detection device is detecting the blade, the blade to be detected rotates at high speed between the light source emitting module and the optical signal receiving module. The optical signal receiving module can collect the electrical signal corresponding to each rotation of the blade to be detected. One rotation of the blade to be detected is regarded as a detection cycle, and the electrical signal contains detection electrical signals of multiple detection cycles.

[0061] Because the blade in the blade detection device usually rotates at a high speed, it is not easy to control it to rotate only one circle, and it may not be possible to collect the electrical signal corresponding to the complete blade in just one circle. Therefore, the embodiment of the present application divides the acquired periodic electrical signal into periods without changing the detection method of the blade detection device. In the division process, the electrical signal with incomplete periods can be eliminated. For example, the detection electrical signal that does not contain a preset number of sampling points can be regarded as an electrical signal with incomplete periods. Furthermore, from the electrical signal after eliminating the incomplete period signal, any electrical signal with a complete period is selected as the target detection electrical signal. Based on this, the problem of incomplete signals can be avoided.

[0062] Optionally, the target detection signal can also be selected from the detection signals corresponding to multiple detection cycles based on the signal consistency of the detection electrical signal. It is understandable that due to the influence of factors such as ambient light and equipment interference, the detection signal corresponding to each detection cycle may be affected by the interference signal, causing the device to deviate from the ideal electrical signal corresponding to the blade to be detected, and due to the uncertainty of the interference factor, the detection electrical signal corresponding to each detection cycle may also be different. Therefore, the detection electrical signals of each detection cycle can be compared, among which the detection electrical signal with the highest consistency can best reflect the average level of the detection signal of the blade to be detected in the current detection environment. Therefore, the detection electrical signal with the highest consistency is used as the target detection electrical signal.

[0063] Based on this, the target detection electrical signal can also be selected from the detection signals corresponding to multiple detection cycles according to the signal quality, signal-to-noise ratio, spectrum characteristics, etc. of the detection signal. The embodiment of the present application does not make a sole limitation on the preset conditions.

[0064] Step S120, processing the target detection electrical signal to obtain the damage factor corresponding to the blade to be detected.

[0065] The damage factor can be the number of mutation signals of the detected electrical signal, the signal stability, the deviation of the signal value from the average value, etc. Optionally, each signal mutation is regarded as a blade notch, and the number of mutation signals can be regarded as the number of notches of the blade to be detected; the average value of the electrical signal of the intact blade is compared with each electrical signal value of the blade to be detected, and the value exceeding the average value can be regarded as the possibility of the blade being damaged. Based on this, the embodiment of the present application processes the target detection electrical signal to obtain the damage factor, and uses the quantified damage factor to characterize the damage of the blade to be detected.

[0066] In a possible implementation, the target detection electrical signal is processed to obtain a damage factor corresponding to the blade to be detected, including: filtering signals in the target detection electrical signal that exceed a preset signal value range to obtain an interference-free electrical signal; and performing signal processing on the interference-free electrical signal to obtain a damage factor corresponding to the blade to be detected.

[0067] It is understandable that when performing blade detection, it is inevitable to be interfered by radio waves, ambient light, sensor frequency, etc., resulting in a large number of interference signals in the optical signal collected by the optical signal receiving module, and not just the optical signal after being blocked by the blade to be detected. Therefore, the target detection electrical signal obtained by the processor contains a large number of interference signals, and it is impossible to accurately judge the damage of the blade to be detected.

[0068] Therefore, before processing the target detection electrical signal, the embodiment of the present application first filters out interference such as noise in the target detection electrical signal. It can be understood that each moment in the target detection electrical signal, that is, each acquisition point corresponds to an electrical signal value, and the signals whose electrical signal values ​​exceed the preset signal value range are eliminated, and the signals whose signal values ​​exceed the [0,5] interval are filtered out, and the remaining electrical signals are interference-free electrical signals. Among them, the preset signal value range can be determined based on the signal value interval where the noise and interference signals are located in the past. Furthermore, the interference-free electrical signal corresponding to the target detection electrical signal is processed to obtain a damage factor that characterizes the damage of the blade to be detected.

[0069] In another possible implementation, the damage factor includes at least: a damage area coefficient, a damage degree coefficient, a damage mutation coefficient, and an interference superposition coefficient; the damage area coefficient is used to characterize the area where the blade to be detected is damaged; the damage degree coefficient is used to characterize the damage degree of the blade to be detected; the damage mutation coefficient is used to characterize the damage change of the blade to be detected; and the interference superposition coefficient is used to characterize the change of the electrical signal after the blade to be detected is superimposed with a preset interference.

[0070] The damaged area coefficient is determined based on the area where the signal value in the electrical signal deviates from the normal signal value, thereby indicating whether there is a damaged area in the blade to be detected. However, it is understandable that when the blade is worn, the signal value in the electrical signal of the blade may also deviate from the normal signal value. Therefore, the degree of damage of the blade to be detected can be further evaluated by the degree of deviation of the signal or the trend of the signal deviation from the normal value. If the degree of damage is low, it may be a deviation caused by the wear of the blade to be detected, thereby improving the multi-dimensional detection of the blade to be detected.

[0071] Reference Figure 2 In the “Blade breakage non-interference waveform”, when the blade is broken, the electrical signal will suddenly change. However, referring to the “Blade breakage superimposed electromagnetic and water stain interference waveform” below, the reason for the signal mutation may also be the influence of the interference signal. Therefore, the embodiment of the present application analyzes the changes between continuous electrical signals to evaluate the degree of mutation of the electrical signal. If it is similar to the “Blade breakage false interference waveform”, the signal suddenly increases or decreases, it may be that the blade to be detected is broken. If it is similar to the “Blade breakage superimposed electromagnetic and water stain interference waveform”, the signal rises or falls in an unstable and non-fluctuating state, it may be due to the influence of the interference signal.

[0072] It is understandable that although the electrical signal is filtered before signal processing, not all noise is filtered out. Therefore, when judging the damage state based on the electrical signal, the damage signal may be confused with the interference signal, thereby missing the damaged blade and causing false detection.

[0073] Therefore, the embodiment of the present application superimposes a preset interference signal on the electrical signal of the blade to be detected, and performs signal change analysis on the electrical signal collected again after superposition. If the blade to be detected is originally intact, the original electrical signal can be superimposed with the preset interference signal. Figure 2 In the “blade intact superimposed electromagnetic and water stain interference waveform”, the superimposed electrical signal is still relatively stable and will not change suddenly. If the original electrical signal of the blade to be tested contains a damaged signal, after superimposing the preset interference signal, you can refer to Figure 2 In the “blade damage superimposed electromagnetic and water stain interference waveform”, although the electrical signal is affected by the interference signal, there is still a mutation signal. Based on this, by analyzing the change of the electrical signal after the blade to be detected is superimposed with the preset interference, the interference superposition coefficient obtained can also determine the damage of the blade to be detected.

[0074] In one possible implementation, the damage area coefficient includes: a deviation area value, where the deviation area value is the area where the signal greater than the preset electrical signal threshold is located in the target detection electrical signal; the damage degree coefficient includes: a signal deviation degree value and a signal discrete degree value, where the signal deviation degree value is used to characterize the degree of deviation of the signal value in the target detection electrical signal from the average signal value, and the signal discrete degree value is used to characterize the degree of discreteness of the signal value in the target detection electrical signal that deviates from the average signal value; the damage mutation coefficient includes: a signal change value, where the signal change value is used to characterize the change between continuous signals in the target detection electrical signal; the interference superposition coefficient includes: a first change value and a second change value, where the first change value characterizes the sharpness or flatness of the signal fluctuation corresponding to the target detection electrical signal after the preset interference signal is superimposed, and the second change value is used to characterize the degree of skewness of the signal fluctuation corresponding to the target detection electrical signal after the preset interference signal is superimposed.

[0075] Specifically, the damage area coefficient may be a deviation area value of the electrical signal, and the deviation area value may be obtained by comparing each signal value in the electrical signal with a deviation judgment value, wherein the deviation judgment value may be an average value of the electrical signal of an undamaged blade, or 40% of the peaks and valleys of the electrical signal of an undamaged blade, etc. The signal values ​​and the number of signal values ​​greater than the deviation judgment value are accumulated to determine a deviation area. In this way, the deviation area value can characterize whether a large area of ​​damage exists in the blade to be detected.

[0076] The damage degree coefficient is used to characterize the damage degree of the blade to be detected. The signal deviation degree value characterizes the deviation degree of the signal value in the target detection electrical signal from the average signal value. The larger the signal deviation degree value, the stronger the degree of deviation of the signal value from the average value, and the more likely the blade to be detected is damaged. Optionally, the signal deviation degree value can be the standard deviation or mean square error of the electrical signal, that is, the average value of the difference between each signal value of the target detection electrical signal and the average signal value, or the square root of the average sum of the squares of the mean deviations. In the case that the tool to be detected is damaged, some data in the collected electrical signal will deviate significantly from the average signal value, and as the damaged area increases, the degree of deviation will also increase greatly. Therefore, the signal deviation degree value or standard deviation can reflect the occurrence of damage in the tool to be detected and the degree of damage.

[0077] The signal dispersion value characterizes the dispersion degree of the signal value that deviates from the average signal value in the target detection electrical signal. Optionally, the signal dispersion value can be the ratio of the standard deviation of the electrical signal to the average signal value, which can be called the coefficient of variation Cv, which can reflect the dispersion degree of the electrical signal compared with the average signal value within the current detection cycle. Specifically, the calculation formula of the coefficient of variation Cv can refer to the following formula (1).

[0078] (1)

[0079] Wherein, α represents the standard deviation of the target detection electrical signal, and x represents a preset average signal value. The preset average signal value may be an average signal value determined according to the electrical signal corresponding to the intact blade sample.

[0080] It is understandable that, for different light amounts of the light source, the coefficient of variation can better detect the signal change caused by the damage of the blade to be detected. And the coefficient of variation can shield the tool wear under normal conditions and better highlight the tool damage.

[0081] The signal change value characterizes the change between continuous signals in the target detection electrical signal. Optionally, the signal change value can be a mean square error, which can be used for variance estimation, that is, the average of the square of the difference between the signal value of each data point and the average signal value, to amplify the degree of mutation of the signal value in the electrical signal. When the blade to be detected is damaged, the difference between the signal value at the damaged part and the average signal value increases, thereby affecting the final mean square error. Therefore, when the tool to be detected is damaged, the mean square error can clearly show the change. For blades with smaller cracks, accurate identification can be achieved through signal change value or mean square error.

[0082] Referring to the above description, when an interference signal is superimposed on the electrical signal caused by damage, the change in the data curve of the electrical signal can more clearly reflect whether the blade to be detected is damaged. Based on this, the embodiment of the present application superimposes a preset interference signal on the electrical signal of the blade to be detected, and then removes the superimposed signal corresponding to the superimposed interference signal. The superimposed signal is processed to determine the corresponding first change value and second change value.

[0083] Among them, the first change value represents the sharpness or flatness of the corresponding signal fluctuation after the target detection electrical signal is superimposed with the preset interference signal. It can be understood that the sharpness or flatness of the signal fluctuation can be understood as the steepness of the distribution shape of all signal values. Optionally, the first change value can be the kurtosis, which is a characteristic number that measures the peak height, tail thickness and presence of outliers of the probability density distribution curve at the mean value.

[0084] The second change value represents the degree of skewness of the signal fluctuation corresponding to the target detection electrical signal after the preset interference signal is superimposed. The second change value may be a skewness, which is a characteristic number of the degree of asymmetry of the probability distribution density curve of the electrical signal relative to the average value. Specifically, the skewness may be calculated with reference to the following formula (2).

[0085] (2)

[0086] Among them, S k represents skewness, x i represents the i-th signal value of the target detection electrical signal, represents the average signal value of the target detection electrical signal, n represents the total number of signal values ​​of the electrical signal within the detection cycle, that is, the total number of sampling points in the target detection electrical signal, S a Represents the standard deviation of the target detection electrical signal.

[0087] If the light quantity emitted by the light source transmitting module is not 0, when filtering the interference signal, only the signal below 0 will be filtered out, and other interference signals will still remain, and the processing effect of the interference signal is not ideal. Therefore, by using the skewness or the second change value, only the fluctuation trend of the electrical signal is considered, instead of just judging from the signal value of the electrical signal, it is possible to filter out the interference value that is lower than the average light quantity when the blade is not damaged, reduce the influence of the light quantity on the data judgment, and improve the accuracy of blade detection.

[0088] Step S130, determining whether the damage factor meets the preset damage condition. If yes, executing step S140; if no, determining that the detection result of the blade to be detected is not damaged, and sending the detection result indicating that the blade to be detected is not damaged to the front end.

[0089] As an embodiment, the preset damage condition is determined based on the electrical signal corresponding to the damaged blade, and the damaged blade mentioned here may be one or more blades that have been determined to be damaged. That is to say, according to the embodiment of the present application, in order to determine whether the blade to be detected is worn, the damage factor of the blade to be detected obtained in the above steps S110 and S120 can be compared with the preset damage condition determined by the damaged blade that has been detected to be damaged, and finally determine whether the blade to be detected is damaged. This will be combined with Figure 2 and Figure 4 Further description is given.

[0090] Step S140, sending a detection result indicating that the blade to be detected is damaged to the front end.

[0091] The preset damage condition is determined based on the electrical signal corresponding to the damaged blade, and a conditional judgment is performed on the damage factor of the blade to be detected obtained in step S120 to determine whether the damage factor meets the damage condition. Figure 2 In the figure, the "300um damage waveform" is the waveform of the electrical signal of a blade with a 300um damage notch, from which the electrical signal characteristics of the damaged blade are extracted, such as the average signal value, variance value, standard deviation and other parameter values, and the preset condition can be set as the damage factor being equal to the parameter value or the difference not exceeding the threshold. Furthermore, the parameter values ​​of the "300um damage waveform" are respectively compared with the coefficients of each item in the damage factor of the blade to be detected that characterize the damage of the blade to be detected. If the two coefficients are equal or similar, it can be determined that the blade to be detected also has the same damage. On the contrary, if the damage factor of the blade to be detected does not meet the preset conditions, it can be determined that the blade to be detected does not have the same damage.

[0092] Considering that there are various types of blade damage, in order to improve the availability of blade detection in the embodiment of the present application, electrical signals of various damaged blades can be collected, such as Figure 2 The "300um damage waveform", "full damage waveform", "blade damage without interference waveform" and the like are used as sample signal diagrams of preset conditions. Signal processing and induction are performed based on the sample signal diagrams to obtain various critical values ​​for determining that the blade is damaged. For example, when the critical value of the coefficient of variation of the blade's electrical signal is 10, once the coefficient of variation of the blade is greater than 10, the blade must be damaged. Based on this, combined with the various coefficients in the damage factor obtained in step S120, the preset threshold conditions corresponding to the various coefficients are determined.

[0093] Furthermore, judging whether the damage factor satisfies the preset damage condition includes: obtaining preset threshold conditions corresponding to the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient respectively; judging whether the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient satisfy the respective preset threshold conditions; when the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient do not satisfy the respective preset threshold conditions, determining that the damage factor does not satisfy the preset damage condition; when any one of the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient satisfies the corresponding preset threshold conditions, determining that the damage factor satisfies the preset damage condition.

[0094] Reference Figure 4 , a flow chart of conditional judgment provided in the embodiment of the present application, each coefficient corresponds to a preset threshold condition, which can be based on Figure 4 In the order of, it is judged whether the deviation area value of the electrical signal of the blade to be detected meets the first preset threshold condition, whether the standard deviation and the coefficient of variation meet the second preset threshold condition, whether the mean square difference meets the third preset threshold condition, and whether the peak value and the skewness meet the fourth preset threshold condition. Under this judgment method, based on the progressive relationship between the coefficients, the detection can not only detect whether the blade is damaged, but also detect the degree of damage and the cause of damage of the blade.

[0095] For example, it is preferred to detect whether the deviation area of ​​the electrical signal is too large, and it is possible to detect blades with obvious damage first. For blades with cracks, dirt, etc., it is necessary to further judge based on the damage degree coefficient and damage mutation coefficient of the electrical signal. If the damage of the blade to be detected cannot be detected based on the damage degree coefficient and damage mutation coefficient, then according to the interference superposition coefficient of the blade to be detected, through the signal fluctuation change after superimposing the interference signal, it is possible to identify whether it is dirty, or to identify whether it has slight damage after reducing the interference of dirt, etc. Based on this, each level of judgment can not only determine whether the blade is damaged, but also, if it is damaged, according to the corresponding judgment conditions, it can also determine the type or degree of damage of the blade.

[0096] Optionally, multi-threaded judgment can also be performed, and four threads can be executed simultaneously to respectively judge whether the damage area coefficient, damage degree coefficient, damage mutation coefficient, and interference superposition coefficient meet the corresponding preset threshold conditions. This judgment method can perform multi-threaded judgment and improve detection efficiency.

[0097] In the embodiment of the present application, the judgment result of each coefficient is an OR relationship. As long as one of the coefficients meets the preset threshold condition, it can be determined that the blade to be detected is damaged. Only when all the coefficients do not meet the corresponding preset threshold conditions can it be determined that the blade to be detected is not damaged. Based on this, the accuracy of the detection result can be improved by adding detection conditions.

[0098] In a possible implementation, the repeatability of the detection electrical signals of multiple detection cycles can be used to avoid the influence of the data randomness of the detection electrical signals of a single detection cycle on the detection results. Signal processing is performed on the electrical signals of other cycles, and the above steps S120-140 are repeated to verify the detection results corresponding to the detection electrical signals of each detection cycle, thereby improving the accuracy of blade detection.

[0099] Furthermore, after determining the detection result corresponding to the blade to be detected, the detection result is displayed on the display module of the blade detection device, or the detection result is sent to the user front end through the communication module of the blade detection device, so that the user can view it in time.

[0100] In summary, the blade detection method provided in the embodiment of the present application obtains the electrical signal of the blade detection device when detecting the blade to be detected, analyzes the signal characteristics of the electrical signal, extracts the signal characteristics that can represent the damage of the blade, that is, the damage factor, and compares it with the preset condition, wherein the preset condition is determined according to the damage factor of the damaged blade, and if the preset condition is met, it means that the blade to be detected is also damaged. Compared with the prior art, which directly alarms the damage after the electrical signal of the blade becomes abnormal, the present application makes a judgment based on the blade damage reflected by the detection electrical signal, avoids the misjudgment caused by a single signal abnormality, can increase the comprehensive analysis of blade damage, reduce the impact of interference signals on the detection results, and improve the accuracy of blade detection.

[0101] The following is a description of a blade detection device provided in an embodiment of the present application. The blade detection device described below and the blade detection method described above can be referenced to each other.

[0102] First, combine Figure 5 , a blade detection device of a processor applicable to a blade detection device is introduced, such as Figure 5 As shown, the processor device of the blade detection device may include:

[0103] The signal acquisition unit 100 is used to acquire a target detection electrical signal corresponding to the blade to be detected, wherein the target detection electrical signal is a detection electrical signal that meets a preset condition, and the detection electrical signal is an electrical signal obtained by converting an optical signal that is not blocked by the blade to be detected in a received light source signal by an optical signal receiving module in the blade detection device, wherein the preset condition at least includes: the detection electrical signal includes a preset number of sampling points;

[0104] The signal processing unit 200 is used to process the target detection electrical signal to obtain a damage factor corresponding to the blade to be detected, where the damage factor is a parameter characterizing the damage condition of the blade to be detected;

[0105] A condition judgment unit 300 is used to judge whether the damage factor meets a preset damage condition, wherein the preset damage condition is determined according to an electrical signal corresponding to a damaged blade;

[0106] The result output unit 400 is used to send a detection result indicating that the blade to be detected is damaged to the front end when the damage factor meets the preset damage condition.

[0107] In a possible implementation, the blade detection device further includes:

[0108] The detection result output unit is used to send a detection result indicating that the blade to be detected is not damaged to the front end when the damage factor does not meet the preset damage condition.

[0109] In a possible implementation, the signal processing unit 200 includes:

[0110] A signal filtering subunit, used for filtering signals whose signal values ​​in the target detection electrical signal exceed a preset signal value range to obtain an interference-free electrical signal;

[0111] The signal processing subunit is used to perform signal processing on the non-interference electrical signal to obtain a damage factor corresponding to the blade to be detected.

[0112] In a possible implementation, the damage factor includes at least: a damage area coefficient, a damage degree coefficient, a damage mutation coefficient, and an interference superposition coefficient;

[0113] The damaged area coefficient is used to characterize the damaged area of ​​the blade to be detected;

[0114] The damage degree coefficient is used to characterize the damage degree of the blade to be tested;

[0115] The damage mutation coefficient is used to characterize the damage change of the blade to be tested;

[0116] The interference superposition coefficient is used to characterize the change of the electrical signal after the blade to be detected is superimposed with a preset interference.

[0117] In a possible implementation, the damaged area coefficient includes: a deviation area value, the deviation area value being an area where a signal value of the target detection electrical signal is greater than a preset electrical signal threshold value;

[0118] The damage degree coefficient includes: a signal deviation degree value and a signal dispersion degree value, wherein the signal deviation degree value is used to characterize the degree of deviation of the signal value in the target detection electrical signal from the average signal value, and the signal dispersion degree value is used to characterize the degree of dispersion of the signal value in the target detection electrical signal from the average signal value;

[0119] The damage mutation coefficient includes: a signal change value, which is used to characterize the change between continuous signals in the target detection electrical signal;

[0120] The interference superposition coefficient includes: a first change value and a second change value, the first change value is used to characterize the sharpness of the signal fluctuation corresponding to the target detection electrical signal after the preset interference signal is superimposed, and the second change value is used to characterize the skewness of the signal fluctuation corresponding to the target detection electrical signal after the preset interference signal is superimposed.

[0121] In a possible implementation, the condition judgment unit 300 includes:

[0122] A condition acquisition subunit, used to acquire preset threshold conditions corresponding to the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient respectively;

[0123] A condition judgment subunit, used to judge whether the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient meet the corresponding preset threshold conditions;

[0124] The judgment result determines a first subunit, which is used to determine that the damage factor does not meet the preset damage condition when the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient do not meet the corresponding preset threshold conditions respectively;

[0125] The judgment result determines the second subunit, which is used to determine that the damage factor meets the preset damage condition when any coefficient among the damage area coefficient, the damage degree coefficient, the damage mutation coefficient and the interference superposition coefficient meets the corresponding preset threshold condition.

[0126] In a possible implementation, the signal acquisition unit 100 includes:

[0127] An initial signal acquisition subunit is used to acquire an initial detection electrical signal corresponding to the blade to be detected, wherein the initial detection electrical signal includes detection electrical signals corresponding to a plurality of detection cycles, wherein the detection cycle is the time for the blade to be detected to rotate one circle;

[0128] The signal screening subunit is used to determine at least one of the initial detection electrical signals that meets preset conditions as a target detection electrical signal, wherein the preset conditions at least include: the detection electrical signal contains a preset number of sampling points, every two adjacent sampling points are continuous, and the signal-to-noise ratio of the signal values ​​of all the sampling points does not exceed a preset signal-to-noise ratio threshold.

[0129] In summary, the embodiment of the present application obtains the electrical signal of the blade detection device when detecting the blade to be detected, analyzes the signal characteristics of the electrical signal, extracts the signal characteristics that can represent the damage of the blade, that is, the damage factor, and compares it with the preset condition, wherein the preset condition is determined according to the damage factor of the damaged blade, and if the preset condition is met, it means that the blade to be detected is also damaged. Compared with the prior art, which directly alarms for damage after the electrical signal of the blade becomes abnormal, the present application makes a judgment based on the blade damage reflected by the detected electrical signal, avoids the misjudgment caused by a single signal abnormality, can increase the comprehensive analysis of blade damage, reduce the impact of interference signals on the detection results, and improve the accuracy of blade detection.

[0130] The blade detection device provided in the embodiment of the present application can be applied to electronic equipment.

[0131] Figure 6 A schematic diagram of the structure of an electronic device is shown, referring to Figure 6 The structure of the electronic device may include: at least one processor 10, at least one memory 20, at least one communication bus 30 and at least one communication interface 40.

[0132] In the embodiment of the present application, the number of the processor 10 , the memory 20 , the communication bus 30 , and the communication interface 40 is at least one, and the processor 10 , the memory 20 , and the communication interface 40 communicate with each other through the communication bus 30 .

[0133] The processor 10 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0134] The memory 20 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), etc., such as at least one disk memory.

[0135] The memory stores a computer program, and the processor can call the computer program stored in the memory, wherein the computer program is used to implement each processing flow in the aforementioned blade detection method.

[0136] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, a computer, a training device, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, training device, or data center. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device, a data center, etc. that includes one or more available media integrations. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.

[0137] Finally, 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. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0138] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0139] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A blade detection method, characterized in that: include: Acquire a target detection electrical signal corresponding to the blade to be detected, wherein the target detection electrical signal is a detection electrical signal that meets a preset condition, wherein the detection electrical signal is an electrical signal obtained by converting an optical signal that is not blocked by the blade to be detected in a received light source signal by an optical signal receiving module in the blade detection device, wherein the preset condition at least includes: the detection electrical signal includes a preset number of sampling points, and every two adjacent sampling points are continuous; Processing the target detection electrical signal to obtain a damage factor corresponding to the blade to be detected, wherein the damage factor is a parameter characterizing the damage condition of the blade to be detected; Determining whether the damage factor satisfies a preset damage condition, wherein the preset damage condition is determined according to an electrical signal corresponding to a damaged blade; When the damage factor satisfies the preset damage condition, a detection result indicating that the blade to be detected is damaged is sent to the front end.

2. The blade detection method according to claim 1, characterized in that: The blade detection method further comprises: In the case that the damage factor does not satisfy the preset damage condition, a detection result indicating that the blade to be detected is not damaged is sent to the front end.

3. The blade detection method according to claim 1, characterized in that: The step of processing the target detection electrical signal to obtain a damage factor corresponding to the blade to be detected includes: Filtering signals whose signal values ​​in the target detection electrical signal exceed a preset signal value range to obtain an interference-free electrical signal; The interference-free electrical signal is processed to obtain a damage factor corresponding to the blade to be detected.

4. The blade detection method according to any one of claims 1 to 3, characterized in that: The damage factors at least include: damage area coefficient, damage degree coefficient, damage mutation coefficient, and interference superposition coefficient; The damaged area coefficient is used to characterize the damaged area of ​​the blade to be detected; The damage degree coefficient is used to characterize the damage degree of the blade to be tested; The damage mutation coefficient is used to characterize the damage change of the blade to be tested; The interference superposition coefficient is used to characterize the change of the electrical signal after the blade to be detected is superimposed with a preset interference.

5. The blade detection method according to claim 4, characterized in that: The damaged area coefficient includes: a deviation area value, the deviation area value is the area where the signal value of the target detection electrical signal is greater than the preset electrical signal threshold; The damage degree coefficient includes: a signal deviation degree value and a signal dispersion degree value, wherein the signal deviation degree value is used to characterize the degree of deviation of the signal value in the target detection electrical signal from the average signal value, and the signal dispersion degree value is used to characterize the degree of dispersion of the signal value in the target detection electrical signal from the average signal value; The damage mutation coefficient includes: a signal change value, which is used to characterize the change between continuous signals in the target detection electrical signal; The interference superposition coefficient includes: a first change value and a second change value, the first change value is used to characterize the sharpness or flatness of the signal fluctuation corresponding to the target detection electrical signal after the preset interference signal is superimposed; the second change value is used to characterize the degree of deflection of the signal fluctuation corresponding to the target detection electrical signal after the preset interference signal is superimposed.

6. The blade detection method according to claim 5, characterized in that: The determining whether the damage factor satisfies a preset damage condition includes: Obtaining preset threshold conditions corresponding to the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient respectively; Determine whether the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient meet the corresponding preset threshold conditions; When the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient all fail to meet the corresponding preset threshold conditions, it is determined that the damage factor does not meet the preset damage condition; When any one of the damage area coefficient, the damage degree coefficient, the damage mutation coefficient, and the interference superposition coefficient satisfies the corresponding preset threshold condition, it is determined that the damage factor satisfies the preset damage condition.

7. The blade detection method according to any one of claims 1 to 3, characterized in that: The step of obtaining a target detection electrical signal corresponding to the blade to be detected includes: Acquire an initial detection electrical signal corresponding to the blade to be detected, wherein the initial detection electrical signal includes detection electrical signals corresponding to a plurality of detection cycles, wherein the detection cycle is the time for the blade to be detected to rotate one circle; At least one of the initial detection electrical signals that meets preset conditions is determined as a target detection electrical signal, wherein the preset conditions at least include: the detection electrical signal includes a preset number of sampling points, every two adjacent sampling points are continuous, and the signal-to-noise ratio of the signal values ​​of all the sampling points does not exceed a preset signal-to-noise ratio threshold.

8. A blade detection device, characterized in that: include: a signal acquisition unit, configured to acquire a target detection electrical signal corresponding to a blade to be detected, wherein the target detection electrical signal is a detection electrical signal that meets a preset condition, wherein the detection electrical signal is an electrical signal obtained by converting an optical signal that is not blocked by the blade to be detected in a received light source signal by an optical signal receiving module in the blade detection device, wherein the preset condition at least includes: the detection electrical signal includes a preset number of sampling points, and every two adjacent sampling points are continuous; A signal processing unit, configured to process the target detection electrical signal to obtain a damage factor corresponding to the blade to be detected, wherein the damage factor is a parameter characterizing the damage condition of the blade to be detected; A condition judgment unit, used to judge whether the damage factor meets a preset damage condition, wherein the preset damage condition is determined according to an electrical signal corresponding to a damaged blade; The result output unit is used to send a detection result indicating that the blade to be detected is damaged to the front end when the damage factor meets the preset damage condition.

9. An electronic device, characterized in that: The method comprises at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs; The processor is used to execute the computer program so that the electronic device can implement the blade detection method according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that: The computer storage medium carries one or more computer programs, and when the one or more computer programs are executed by an electronic device, the electronic device can implement the blade detection method according to any one of claims 1 to 7.

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