Multi-source signal time domain alignment acquisition method and device of ultra-precision machine tool

Abstract

The invention provides an acquisition method and device for time domain alignment of multi-source signals of an ultra-precision machine tool, and belongs to the technical field of ultra-precision machining. The method comprises the steps that the initial sampling frequency of induction signals output by a plurality of sensors of the ultra-precision machine tool is acquired; acquiring a minimum first initial sampling frequency in the plurality of initial sampling frequencies, determining the sensing signal of the minimum first initial sampling frequency as a master sensing signal, and determining each sensing signal in the plurality of sensing signals except the master sensing signal as a slave sensing signal; according to the initial sampling frequencies of the master sensing signal and the slave sensing signals, obtaining a frequency relation multiple between each slave sensing signal and the master sensing signal; the frequency relation multiple is a positive integer; determining a target sampling frequency of the slave sensing signal according to the first initial sampling frequency and the frequency relation multiple; and collecting a target slave sensing signal according to the target sampling frequency, and collecting a master sensing signal according to the first initial sampling frequency. According to the invention, the data acquisition and storage burden in the data acquisition process can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of ultra-precision machining, and in particular to a method and device for collecting multi-source signals of an ultra-precision machine tool in time domain alignment. Background Art

[0002] Ultra-precision machine tools have higher motion accuracy than ordinary CNC machine tools (the accuracy can reach sub-micron or even nanometer level). Ensuring that they work in normal state is crucial for processing qualified parts. To monitor the processing state of ultra-precision machine tools, sensors are usually used to sample signals related to ultra-precision machine tools (such as temperature signals, pressure signals, cutting force signals, etc.). The characteristics of ultra-precision machine tools put forward higher requirements for signal acquisition: due to the high precision of ultra-precision machine tools, more data points need to be recorded per unit time to reflect their motion characteristics, requiring a higher sampling frequency; ultra-precision machining is affected by many factors, and multiple signals need to be monitored; in order to accurately trace the abnormal state of the machine tool and warn of faults, the collected signals are required to be aligned in the time domain. In order to meet the requirements of high sampling frequency, multiple signals, and time domain alignment, the conventional practice is that all signals will be sampled at the same sampling frequency. Based on this, all signals will be sampled at a unified and very high sampling frequency.

[0003] In reality, since all signals are sampled at a very high sampling frequency, a large number of data points will be generated, which increases the hardware burden of data acquisition and storage. Summary of the invention

[0004] The present invention provides a method and device for collecting multi-source signals in time domain alignment for an ultra-precision machine tool, so as to solve the defect in the prior art that the data collection and storage burden is too heavy while ensuring that the requirements of high sampling frequency, multiple signals and time domain alignment are met, so as to achieve the purpose of reducing the data collection and storage burden while meeting the requirements of high sampling frequency, multiple signals and time domain alignment, and improving the utilization rate of storage space.

[0005] The present invention provides a method for collecting multi-source signals of an ultra-precision machine tool in time domain alignment, comprising the following steps.

[0006] Acquire initial sampling frequencies of sensing signals output by multiple sensors of an ultra-precision machine tool to obtain multiple initial sampling frequencies corresponding to the multiple sensing signals one by one; acquire a first initial sampling frequency among the multiple initial sampling frequencies; wherein the first initial sampling frequency is less than other initial sampling frequencies among the multiple initial sampling frequencies; determine the sensing signal corresponding to the first initial sampling frequency as a main sensing signal, and determine each sensing signal other than the main sensing signal among the multiple sensing signals as a slave sensing signal, to obtain a main sensing signal and at least one slave sensing signal; acquire a frequency relationship multiple between a target slave sensing signal and the main sensing signal according to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave sensing signal among the at least one slave sensing signal; wherein the frequency relationship multiple is a positive integer; determine a target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple; wherein the target sampling frequency is an integer multiple of the first initial sampling frequency; collect the target slave sensing signal according to the target sampling frequency, and collect the main sensing signal according to the first initial sampling frequency.

[0007] According to the present invention, a multi-source signal time domain alignment acquisition method for an ultra-precision machine tool is provided, and a frequency relationship multiple between a target slave induction signal and a main induction signal is obtained according to a first initial sampling frequency and a second initial sampling frequency corresponding to any target slave induction signal in at least one slave induction signal, including: obtaining a ratio of the second initial sampling frequency to the first initial sampling frequency; rounding up a comparison value, and determining the rounding result as the frequency relationship multiple.

[0008] According to the present invention, a multi-source signal time domain alignment acquisition method for an ultra-precision machine tool is provided. According to a first initial sampling frequency and a frequency relationship multiple, a target sampling frequency of a target slave induction signal is determined, including: determining a first product of the first initial sampling frequency and the frequency relationship multiple as the target sampling frequency of the target slave induction signal.

[0009] According to the present invention, a multi-source signal time domain alignment acquisition method for an ultra-precision machine tool is provided. According to a first initial sampling frequency and a frequency relationship multiple, a target sampling frequency of a target slave induction signal is determined, including: obtaining a signal source type coefficient corresponding to a signal source type of the target slave induction signal; wherein the signal source type coefficient is a positive integer; obtaining a first product of the first initial sampling frequency and the frequency relationship multiple; obtaining a second product of the first product and the signal source type coefficient; and determining the second product as the target sampling frequency of the target slave induction signal.

[0010] According to the present invention, a multi-source signal time domain alignment acquisition method for an ultra-precision machine tool is provided to obtain the initial sampling frequency of the induction signals output by multiple sensors of the ultra-precision machine tool, including: obtaining the induction signals output by the multiple sensors of the ultra-precision machine tool to obtain multiple induction signals corresponding to the multiple sensors one by one; for each induction signal in the multiple induction signals, obtaining a target signal frequency among all the signal frequencies thereof; wherein the target signal frequency is greater than other signal frequencies among all the signal frequencies; and determining the initial sampling frequency of the target induction signal according to the target signal frequency of the target induction signal; wherein the target induction signal is any one of the multiple induction signals.

[0011] According to the present invention, a multi-source signal time domain alignment acquisition method for an ultra-precision machine tool is provided. After acquiring a target slave induction signal according to a target sampling frequency and acquiring a main induction signal according to a first initial sampling frequency, the method further comprises: acquiring an acquisition signal acquired according to a set sampling frequency of the target induction signal; wherein, when the target induction signal is the main induction signal, the set sampling frequency is the first initial sampling frequency, and when the target induction signal is the target slave induction signal, the set sampling frequency is the target sampling frequency; the target induction signal is any one of the multiple induction signals; acquiring multiple characteristic values ​​of the acquisition signal within a set time window; wherein the multiple characteristic values ​​include: at least one time domain characteristic value and at least one frequency domain characteristic value; and when at least one target characteristic value among the multiple characteristic values ​​exceeds a set range of the target characteristic value, issuing a warning signal.

[0012] The present invention also provides an acquisition device for time-domain alignment of multi-source signals of an ultra-precision machine tool, comprising the following modules: a first acquisition module, a second acquisition module, a first determination module, a processing module, a second determination module and an acquisition module.

[0013] The first acquisition module is used to acquire the initial sampling frequencies of the sensing signals output by the multiple sensors of the ultra-precision machine tool, and obtain multiple initial sampling frequencies corresponding to the multiple sensing signals.

[0014] The second acquisition module is used to acquire a first initial sampling frequency among a plurality of initial sampling frequencies; wherein the first initial sampling frequency is smaller than other initial sampling frequencies among the plurality of initial sampling frequencies.

[0015] The first determining module is used to determine the sensing signal corresponding to the first initial sampling frequency as the main sensing signal, and to determine each sensing signal except the main sensing signal among the multiple sensing signals as a slave sensing signal, so as to obtain the main sensing signal and at least one slave sensing signal.

[0016] The processing module is used to obtain a frequency relationship multiple between the target slave sensing signal and the master sensing signal according to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave sensing signal in at least one slave sensing signal; wherein the frequency relationship multiple is a positive integer.

[0017] The second determination module is used to determine a target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple; wherein the target sampling frequency is an integer multiple of the first initial sampling frequency.

[0018] The acquisition module is used to acquire the target slave sensing signal according to the target sampling frequency and to acquire the main sensing signal according to the first initial sampling frequency.

[0019] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, a method for collecting time domain alignment of multi-source signals of any of the above-mentioned ultra-precision machine tools is implemented.

[0020] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the acquisition method for time domain alignment of multi-source signals of any of the above-mentioned ultra-precision machine tools is implemented.

[0021] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements the acquisition method for time domain alignment of multi-source signals of any of the above-mentioned ultra-precision machine tools.

[0022] The present invention provides a method and device for time domain alignment of multi-source signal acquisition of an ultra-precision machine tool. The method comprises the following steps: obtaining initial sampling frequencies of induction signals output by multiple sensors of the ultra-precision machine tool to obtain multiple initial sampling frequencies corresponding to the multiple induction signals one by one; obtaining a first initial sampling frequency among the multiple initial sampling frequencies; wherein the first initial sampling frequency is less than other initial sampling frequencies among the multiple initial sampling frequencies; determining the induction signal corresponding to the first initial sampling frequency as a main induction signal, and determining each induction signal other than the main induction signal among the multiple induction signals as a slave induction signal, to obtain a main induction signal and at least one slave induction signal; then obtaining a frequency relationship multiple between a target slave induction signal and the main induction signal according to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave induction signal among the at least one slave induction signal; wherein the frequency relationship multiple is a positive integer; determining a target sampling frequency of the target slave induction signal according to the first initial sampling frequency and the frequency relationship multiple; the target sampling frequency is an integer multiple of the first initial sampling frequency; finally, collecting the target slave induction signal according to the target sampling frequency, and collecting the main induction signal according to the first initial sampling frequency. It can be seen that the present invention can first select a minimum initial sampling frequency as the first initial sampling frequency from a plurality of initial sampling frequencies corresponding to a plurality of sensing signals one by one, determine the sensing signal corresponding to the first initial sampling frequency as the main sensing signal, determine each sensing signal other than the main sensing signal among the plurality of sensing signals as the slave sensing signal, and then obtain the frequency relationship multiple between each slave sensing signal and the main sensing signal, and determine the target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple, and the target sampling frequency satisfies that it is an integer multiple of the first initial sampling frequency, thereby ensuring that the sampling data of the plurality of slave sensing signals can be obtained in time domain; finally, the target slave sensing signal is collected according to the target sampling frequency, and the main sensing signal is collected according to the first initial sampling frequency, so as to achieve the purpose of adaptively adjusting the sampling frequency of the signal according to the difference of the signal. The amount of data obtained by sampling the sensing signal in the present invention is significantly smaller than the amount of data obtained by sampling all signals at a very high sampling frequency in the prior art. At the same time, it can also ensure that the sampling signals of multiple slave sensing signals can be aligned in the time domain. While meeting the requirements of high sampling frequency, multiple signals, and time domain alignment, the amount of data points collected can be effectively reduced, the burden of data collection and storage can be reduced, and the purpose of improving the utilization rate of storage space can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0024] Figure 1 This is one of the flow charts of the multi-source signal acquisition method for ultra-precision machine tools provided by the present invention.

[0025] Figure 2 Schematic diagram of an ultra-precision single-point diamond lathe and its monitoring system.

[0026] Figure 3 for Figure 2 Schematic diagram of the setting locations of multiple sensors of the super precision single-point diamond lathe.

[0027] Figure 4 This is a schematic diagram of the relationship between the acquisition card chassis, signal acquisition card and host computer.

[0028] Figure 5 It is a schematic diagram of the interaction between the host computer and the master device and slave device.

[0029] Figure 6 This is the second flow chart of the multi-source signal acquisition method for ultra-precision machine tools provided by the present invention.

[0030] Figure 7 It is a schematic diagram of the relationship between the sampling frequencies of the master device and the slave device and the collected data points in the multi-source signal collection method for ultra-precision machine tools provided by the present invention.

[0031] Figure 8 This is the third flow chart of the multi-source signal acquisition method for ultra-precision machine tools provided by the present invention.

[0032] Fig. 9 It is a structural schematic diagram of the multi-source signal acquisition device for ultra-precision machine tools provided by the present invention.

[0033] Fig.10 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0035] In related technologies, in order to achieve the requirements of high sampling frequency, multiple signals, and time domain alignment, all signals are sampled at a very high sampling frequency. In this case, the amount of sampled data obtained is large, which will increase the burden on the storage system.

[0036] In actual situations, among the relevant signals of ultra-precision machine tools to be collected, for signals such as vibration and cutting force on ultra-precision machine tools that are closely related to the accuracy of the workpiece, it is naturally necessary to sample at a very high sampling frequency in order to capture more useful information; but for some signals that change continuously and slowly (such as temperature signals), it is not necessary to sample at a very high sampling frequency. Based on this, a large part of the sampled data obtained by collecting all signals at a uniform and very high sampling frequency is actually not necessary data. This data will occupy storage space when stored, reducing the utilization rate of storage space and placing a burden on the storage system; and this data will occupy the transmission bandwidth during signal transmission, which puts higher requirements on the transmission bandwidth.

[0037] Based on the above-mentioned problems, the present invention provides a multi-source signal acquisition method for ultra-precision machine tools, so as to reduce the burden of data acquisition and storage and improve the utilization of storage space while meeting the requirements of high sampling frequency, multiple signals and time domain alignment.

[0038] Combine the following Figure 1-Figure 7 The present invention describes a multi-source signal acquisition method for an ultra-precision machine tool.

[0039] Figure 1 FIG. 1 is one of the flow charts of the multi-source signal acquisition method for ultra-precision machine tools provided by the present invention, such as Figure 1 As shown, the method includes the following S110~S160.

[0040] S110: Acquire initial sampling frequencies of sensing signals output by multiple sensors of the ultra-precision machine tool, and obtain multiple initial sampling frequencies corresponding to the multiple sensing signals.

[0041] The ultra-precision machine tool may be, for example, an ultra-precision lathe, an ultra-precision milling machine, or other equipment capable of ultra-precision machining. For example, the ultra-precision machine tool may be an ultra-precision single-point diamond lathe.

[0042] Figure 2 An ultra-precision single-point diamond lathe and its monitoring system are shown. Figure 2As shown, the ultra-precision single-point diamond lathe includes an industrial computer 1, a control cabinet 2, a lathe bed 5 and various components installed on the lathe bed 5, a hydraulic station 6 and a gas storage tank 7. The monitoring system of the ultra-precision single-point diamond lathe includes: an acquisition card chassis 3 and a host computer 4. The execution subject of the multi-source signal acquisition method for ultra-precision machine tools in the embodiment of the present invention can be the host computer 4.

[0043] An ultra-precision machine tool may have multiple sensors, and by setting the multiple sensors, signals reflecting the processing status of the ultra-precision machine tool can be obtained, such as cutting force signals, machine tool vibration signals, pressure signals, grating displacement signals of each axis of the machine tool, and temperature signals.

[0044] The plurality of sensors may include at least one temperature sensor, at least one pressure sensor, at least one acceleration sensor, at least one cutting force sensor, at least one displacement sensor, and the like.

[0045] by Figure 2 Take the ultra-precision single-point diamond lathe shown as an example. Figure 3 for Figure 2 Schematic diagram of the location of multiple sensors on the super precision single point diamond lathe. Figure 3 As shown, an acceleration sensor is provided at each of the position points 1a and 1b, a dynamometer (i.e., a cutting force sensor) is provided at the position point 2a, a pressure sensor is provided at each of the position points 3a, 3b, and 3c, a temperature sensor is provided at each of the position points 4a (a position point on the spindle air inlet), 4b (a position point on the spindle stator), 4c (a position point on the slide), 4d (another position point on the slide), 4e (a position point on the guide rail), and 4f (a position point on the lathe bed), and a grating scale displacement sensor is provided at each of the position points 5a, 5b, and 5c. A temperature sensor for measuring the ambient temperature is provided at the position point 4g (a position point on the space surrounding the bed).

[0046] The above-mentioned multiple sensors can be connected to the acquisition card chassis 3 via cables. Figure 4 As shown, the acquisition card chassis 3 may include a pressure acquisition card 31, a temperature acquisition card 32, a cutting force acquisition card 33, a vibration acquisition card 34, a displacement acquisition card 35, and the like.

[0047] At least one pressure sensor among the multiple sensors can be connected to the pressure acquisition card 31 through a cable, at least one temperature sensor among the multiple sensors can be connected to the temperature acquisition card 32 through a cable, at least one cutting force sensor among the multiple sensors can be connected to the cutting force acquisition card 33 through a cable, at least one acceleration sensor among the multiple sensors can be connected to the vibration acquisition card 34 through a cable, and at least one displacement sensor among the multiple sensors can be connected to the displacement acquisition card 35 through a cable.

[0048] When obtaining the initial sampling frequency of the induction signals output by multiple sensors of the ultra-precision machine tool, the upper computer 4 can first collect the induction signals output by the multiple sensors through each signal acquisition card to obtain multiple induction signals corresponding to the multiple sensors, and then obtain the target signal frequency among all the signal frequencies for each induction signal in the multiple induction signals; wherein the target signal frequency is greater than other signal frequencies among all signal frequencies; that is, the target signal frequency is the highest frequency among all signal frequencies; finally, according to the target signal frequency of the target induction signal, the initial sampling frequency of the target induction signal is determined; wherein the target induction signal is any one of the multiple induction signals.

[0049] When determining the initial sampling frequency of the target sensing signal according to the target signal frequency of the target sensing signal, the product of the target signal frequency and the set sampling frequency magnification multiple (the value range may be, for example, 5 to 10) may be obtained, and the product may be determined as the initial sampling frequency of the target sensing signal. For example, the target sampling frequency of the target sensing signal is f a , the sampling frequency is expanded by 10, and the initial sampling frequency of the target sensing signal is f b =10f a .

[0050] Of course, it can also be understood that when the initial sampling frequency of the target sensing signal is determined according to the target signal frequency of the target sensing signal, other methods can also be used to determine the initial sampling frequency of the target sensing signal. The embodiment of the present invention does not limit the method for determining the initial sampling frequency of the target sensing signal.

[0051] S120: Obtain a first initial sampling frequency among a plurality of initial sampling frequencies; wherein the first initial sampling frequency is smaller than other initial sampling frequencies among the plurality of initial sampling frequencies.

[0052] The first initial sampling frequency is a minimum value among the multiple initial sampling frequencies.

[0053] For example, the multiple initial sampling frequencies include: f1, f2, f3, ..., f n , where n is a natural number and n≥2. In this case, if f1≤f2≤f3……≤f n, f1 is determined as the first initial sampling frequency.

[0054] Since the temperature signal changes continuously and slowly, the first initial sampling frequency is usually the initial sampling frequency of the acquired temperature signal.

[0055] S130: Determine the sensing signal corresponding to the first initial sampling frequency as the main sensing signal, and determine each sensing signal except the main sensing signal among the multiple sensing signals as a slave sensing signal, to obtain the main sensing signal and at least one slave sensing signal.

[0056] For example, Figure 5 As shown, after determining a main sensing signal and at least one slave sensing signal, the signal acquisition card corresponding to the main sensing signal is determined as a main device, and the signal acquisition card corresponding to each slave sensing signal in at least one slave sensing signal is determined as a slave device. Among the multiple signal acquisition cards in the acquisition card chassis 3, one main device and multiple slave devices can be determined. Figure 5 The sensor system includes the multiple sensors introduced above.

[0057] S140: Obtain a frequency relationship multiple between the target slave sensing signal and the master sensing signal according to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave sensing signal in at least one slave sensing signal; wherein the frequency relationship multiple is a positive integer.

[0058] In some embodiments, the frequency relationship multiple between the target slave sensing signal and the master sensing signal can be determined based on the following relationship. The multiple initial sampling frequencies include: f1, f2, f3, ..., f n In this case, each frequency relationship multiple of the slave induction signal should satisfy the following two conditions (ie, the following conditions 1 and 2).

[0059] Condition 1: f1≤n1f1, f2≤n2f1, f3≤n3f1,…, f n ≤n n f n .

[0060] Condition 2: n1f1+n2f1+n3f1+……+n n f n =m, m is (n1f1+n2f1+n3f1+……+n n f n ) is the minimum value among all the results.

[0061] In this case, when executing S140, the ratio of the second initial sampling frequency to the first initial sampling frequency may be obtained, the ratio may be rounded up, and the rounding result may be determined as the frequency relationship multiple.

[0062] In some embodiments, after obtaining the ratio of the second initial sampling frequency corresponding to the target slave sensing signal to the first initial sampling frequency and rounding the ratio up, the sampling frequency weight coefficient corresponding to the signal source type of the target slave sensing signal can also be obtained, and the ratio is weighted based on the sampling frequency weight coefficient, and the weighted result is determined as a frequency relationship multiple.

[0063] The signal source type may include any of the following: temperature signal source (the signal comes from a temperature sensor), pressure signal source (the signal comes from a pressure sensor), cutting force signal source (the signal comes from a cutting force sensor), vibration signal source (the signal comes from an acceleration sensor), and displacement signal source (the signal comes from a displacement sensor).

[0064] In a specific implementation, the sampling frequency weight coefficient corresponding to each signal source type may be preset according to the characteristics of each signal source type, and the sampling frequency weight coefficient is a positive integer.

[0065] S150: Determine a target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple; wherein the target sampling frequency is an integer multiple of the first initial sampling frequency.

[0066] A first product of the first initial sampling frequency and the frequency relationship multiple of the target slave induction signal may be directly obtained, and the first product may be determined as the target sampling frequency of the target slave induction signal.

[0067] In some scenarios, there will be higher requirements for the sampling frequency of some signal source types. For example, in scenarios where the precision of cutting force is very high, the sampling frequency of the cutting force signal will also be required to be very high, so as to capture more useful information and achieve higher precision monitoring results. In this case, for signals of special signal source types, the sampling frequency of the signal of this signal source type can be increased separately while ensuring that the target sampling frequency is an integer multiple of the first initial sampling frequency. In order to achieve the above process, Figure 6 As shown, the execution process of S150 may include the following S610~S640.

[0068] S610: Obtain a signal source type coefficient corresponding to the signal source type of the target slave sensing signal; wherein the signal source type coefficient is a positive integer.

[0069] S620: Obtain a first product of a first initial sampling frequency and a frequency relationship multiple.

[0070] S630: Obtain a second product of the first product and the signal source type coefficient.

[0071] S640: Determine the second product as a target sampling frequency of the target slave sensing signal.

[0072] It should be noted that the signal source type coefficient can be set by those skilled in the art according to actual conditions, and the embodiment of the present invention is not limited to this.

[0073] S160: collecting the target slave sensing signal according to the target sampling frequency, and collecting the master sensing signal according to the first initial sampling frequency.

[0074] The target sampling frequency obtained based on the above S110-S150 is an integer multiple of the first initial sampling frequency of the master sensing signal. In this case, the target slave sensing signal is collected according to the target sampling frequency, and the master sensing signal is collected according to the first initial sampling frequency. Finally, the frequency relationship between the sampling signal collected on the master device and the sampling signal collected on each slave device is an integer multiple relationship. For details, see Figure 6 .

[0075] like Figure 7 As shown, the sampling frequency of the master device is f, the sampling frequency of slave device 1 is 2f, the sampling frequency of slave device 2 is 3f... and so on. The sampling frequency of each slave device is an integral multiple of the sampling frequency of the master device. In this case, the automatic alignment of the sampling points can be achieved in each sampling cycle of the master device to meet the requirements of time domain alignment. Based on this, the embodiment of the present invention can control the delay between different types of signals within 1 / f, so as to effectively improve the accuracy of the analysis results of the subsequent analysis of the sampled data.

[0076] like Figure 7 As shown, each sampling cycle will perform a realignment of the multi-source signal sampling points. Therefore, the embodiment of the present invention has the function of automatically correcting the delay between different types of signals, and will not cause the accumulation of delays between signals. In this case, it can effectively reduce the data deviation caused by time delays, improve the overall accuracy and consistency of the data, and avoid error amplification due to delay accumulation. In addition, the control delay will not accumulate, which can more accurately reflect the real-time status of the ultra-precision machine tool, help to timely discover potential fault hazards, improve the reliability and timeliness of fault diagnosis, and simplify the complexity of the system. There is no need to compensate for the delay, etc., which reduces the complexity caused by the delay compensation processing steps and simplifies the data processing process.

[0077] It should be noted that the above delay refers to the delay between different types of collected signals. For example, at the moment t1, an abnormality occurs in the processing process, which causes a peak mutation in the monitored pressure signal, acceleration signal, cutting force signal and other signals. In an ideal case without delay, the pressure signal, acceleration signal and cutting force signal collected at the moment t1 will deviate from the normal value at the same time. However, in reality, compared with the pressure signal and acceleration signal, the delay of the cutting force signal is usually tens of milliseconds. Therefore, at the moment t1, the monitored pressure signal and acceleration signal will be abnormal, but the monitored cutting force signal will be normal (caused by the delay of the cutting force signal). The impact of this delay increases the difficulty of fault or abnormal analysis, identification and tracing. In addition, the delay may drift with the acquisition process, causing the delay to continue to expand. If the delay is too large, it will affect the real-time nature of the monitoring data, resulting in a decrease in the accuracy of state monitoring and early warning, and will increase the difficulty of abnormal judgment and identification. Based on the method provided by the embodiment of the present invention, for the case where the sampling frequency of the master device is f=500Hz and the sampling frequency of a slave device is 2000Hz: the sampling frequency of the master device is 500Hz, and the interval between two adjacent points is 2ms, that is, 1 / 500 second. For the slave device with a sampling frequency of 2000Hz, 4 data points are collected within 2ms, and the master device independently controls the slave device to collect a data point once in each 2ms cycle. The delay caused by a single accidental error will not affect the next collection, so the delay can be controlled within 2ms. Effectively improve the real-time and accuracy of monitoring data.

[0078] In some embodiments, after executing S160, Figure 8 As shown, the embodiment of the present invention can also execute the following S810~S830.

[0079] S810: Acquire a collection signal collected according to a set sampling frequency of a target sensing signal; wherein, when the target sensing signal is a main sensing signal, the sampling frequency is set to a first initial sampling frequency; and when the target sensing signal is a target slave sensing signal, the sampling frequency is set to a target sampling frequency; the target sensing signal is any one of a plurality of sensing signals.

[0080] S820: Acquire multiple eigenvalues ​​of the collected signal within a set time window; wherein the multiple eigenvalues ​​include: at least one time domain eigenvalue and at least one frequency domain eigenvalue.

[0081] The at least one time-domain characteristic value may include, for example, at least one of the following: a waveform factor, a pulse factor, a kurtosis factor, a margin factor, a peak-to-peak value, and the like.

[0082] The at least one frequency domain characteristic value may include, for example, at least one of the following: centroid frequency, mean square frequency, root mean square frequency, frequency variance, and frequency standard deviation.

[0083] S830: When at least one target characteristic value among multiple characteristic values ​​exceeds a set range of the target characteristic value, a warning signal is issued.

[0084] The setting range of the target characteristic value can be set by those skilled in the art according to actual conditions, and the embodiments of the present invention are not limited to this.

[0085] The present invention provides a multi-source signal acquisition method for an ultra-precision machine tool. The method comprises the following steps: acquiring initial sampling frequencies of induction signals output by multiple sensors of the ultra-precision machine tool to obtain multiple initial sampling frequencies corresponding to the multiple induction signals one by one; acquiring a first initial sampling frequency among the multiple initial sampling frequencies; wherein the first initial sampling frequency is less than other initial sampling frequencies among the multiple initial sampling frequencies; determining the induction signal corresponding to the first initial sampling frequency as a main induction signal, and determining each induction signal other than the main induction signal among the multiple induction signals as a slave induction signal, to obtain a main induction signal and at least one slave induction signal; then acquiring a frequency relationship multiple between a target slave induction signal and the main induction signal according to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave induction signal among the at least one slave induction signal; wherein the frequency relationship multiple is a positive integer; determining a target sampling frequency of the target slave induction signal according to the first initial sampling frequency and the frequency relationship multiple; the target sampling frequency is an integer multiple of the first initial sampling frequency; finally acquiring the target slave induction signal according to the target sampling frequency, and acquiring the main induction signal according to the first initial sampling frequency. It can be seen that the present invention can first select a minimum initial sampling frequency as the first initial sampling frequency from a plurality of initial sampling frequencies corresponding to a plurality of sensing signals one by one, determine the sensing signal corresponding to the first initial sampling frequency as the main sensing signal, determine each sensing signal other than the main sensing signal among the plurality of sensing signals as the slave sensing signal, and then obtain the frequency relationship multiple between each slave sensing signal and the main sensing signal, and determine the target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple, and the target sampling frequency satisfies that it is an integer multiple of the first initial sampling frequency, thereby ensuring that the sampling data of the plurality of slave sensing signals can be obtained in time domain; finally, the target slave sensing signal is collected according to the target sampling frequency, and the main sensing signal is collected according to the first initial sampling frequency, so as to achieve the purpose of adaptively adjusting the sampling frequency of the signal according to the difference of the signal. The amount of data obtained by sampling the sensing signal in the present invention is significantly smaller than the amount of data obtained by sampling all signals at a very high sampling frequency in the prior art. At the same time, it can also ensure that the sampling signals of multiple slave sensing signals can be aligned in the time domain. While meeting the requirements of high sampling frequency, multiple signals, and time domain alignment, the amount of data points collected can be effectively reduced, the burden of data collection and storage can be reduced, and the purpose of improving the utilization rate of storage space can be achieved.

[0086] The multi-source signal acquisition device for an ultra-precision machine tool provided by the present invention is described below. The multi-source signal acquisition device for an ultra-precision machine tool described below and the multi-source signal acquisition method for an ultra-precision machine tool described above can be referred to each other.

[0087] Fig. 9 Schematic diagram of the structure of the multi-source signal acquisition device for ultra-precision machine tools provided by an embodiment of the present invention. Fig. 9 As shown, the multi-source signal acquisition device 900 for ultra-precision machine tools includes: a first acquisition module 901 , a second acquisition module 902 , a first determination module 903 , a processing module 904 , a second determination module 905 and an acquisition module 906 .

[0088] The first acquisition module 901 is used to acquire the initial sampling frequencies of the sensing signals output by the multiple sensors of the ultra-precision machine tool, and obtain multiple initial sampling frequencies corresponding to the multiple sensing signals.

[0089] The second acquisition module 902 is used to acquire a first initial sampling frequency among a plurality of initial sampling frequencies; wherein the first initial sampling frequency is smaller than other initial sampling frequencies among the plurality of initial sampling frequencies.

[0090] The first determining module 903 is configured to determine the sensing signal corresponding to the first initial sampling frequency as the main sensing signal, and determine each sensing signal except the main sensing signal among the multiple sensing signals as a slave sensing signal, so as to obtain the main sensing signal and at least one slave sensing signal.

[0091] The processing module 904 is used to obtain a frequency relationship multiple between the target slave sensing signal and the master sensing signal according to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave sensing signal in at least one slave sensing signal; wherein the frequency relationship multiple is a positive integer.

[0092] The second determination module 905 is used to determine a target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple; wherein the target sampling frequency is an integer multiple of the first initial sampling frequency.

[0093] The acquisition module 906 is used to acquire the target slave sensing signal according to the target sampling frequency, and to acquire the master sensing signal according to the first initial sampling frequency.

[0094] The present invention provides a multi-source signal acquisition device for an ultra-precision machine tool. The device obtains a plurality of initial sampling frequencies corresponding to the plurality of induction signals by acquiring initial sampling frequencies of induction signals output by a plurality of sensors of the ultra-precision machine tool; obtains a first initial sampling frequency among the plurality of initial sampling frequencies; wherein the first initial sampling frequency is less than the other initial sampling frequencies among the plurality of initial sampling frequencies; determines the induction signal corresponding to the first initial sampling frequency as a main induction signal, and determines each induction signal other than the main induction signal among the plurality of induction signals as a slave induction signal, thereby obtaining a main induction signal and at least one slave induction signal; then, according to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave induction signal among the at least one slave induction signal, obtains a frequency relationship multiple between a target slave induction signal and the main induction signal; wherein the frequency relationship multiple is a positive integer; determines a target sampling frequency of the target slave induction signal according to the first initial sampling frequency and the frequency relationship multiple; the target sampling frequency is an integer multiple of the first initial sampling frequency; finally, collects the target slave induction signal according to the target sampling frequency, and collects the main induction signal according to the first initial sampling frequency. It can be seen that the present invention can first select a minimum initial sampling frequency as the first initial sampling frequency from a plurality of initial sampling frequencies corresponding to a plurality of sensing signals one by one, determine the sensing signal corresponding to the first initial sampling frequency as the main sensing signal, determine each sensing signal other than the main sensing signal among the plurality of sensing signals as the slave sensing signal, and then obtain the frequency relationship multiple between each slave sensing signal and the main sensing signal, and determine the target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple, and the target sampling frequency satisfies that it is an integer multiple of the first initial sampling frequency, thereby ensuring that the sampling data of the plurality of slave sensing signals can be obtained in time domain; finally, the target slave sensing signal is collected according to the target sampling frequency, and the main sensing signal is collected according to the first initial sampling frequency, so as to achieve the purpose of adaptively adjusting the sampling frequency of the signal according to the difference of the signal. The amount of data obtained by sampling the sensing signal in the present invention is significantly smaller than the amount of data obtained by sampling all signals at a very high sampling frequency in the prior art. At the same time, it can also ensure that the sampling signals of multiple slave sensing signals can be aligned in the time domain. While meeting the requirements of high sampling frequency, multiple signals, and time domain alignment, the amount of data points collected can be effectively reduced, the burden of data collection and storage can be reduced, and the purpose of improving the utilization rate of storage space can be achieved.

[0095] Fig.10 An example of a physical structure diagram of an electronic device is shown in FIG. Fig.10As shown, the electronic device may include: a processor (processor) 1010 , a communication interface (Communications Interface) 1020 , a memory (memory) 1030 and a communication bus 1040 , wherein the processor 1010 , the communication interface 1020 , and the memory 1030 communicate with each other via the communication bus 1040 . The processor 1010 may call the logic instructions in the memory 1030 to execute the multi-source signal acquisition method for the ultra-precision machine tool, the method comprising: obtaining the initial sampling frequencies of the sensing signals output by the multiple sensors of the ultra-precision machine tool, and obtaining the multiple initial sampling frequencies corresponding to the multiple sensing signals one by one; obtaining the first initial sampling frequency among the multiple initial sampling frequencies; wherein the first initial sampling frequency is less than the other initial sampling frequencies among the multiple initial sampling frequencies; determining the sensing signal corresponding to the first initial sampling frequency as the main sensing signal, and determining each sensing signal except the main sensing signal among the multiple sensing signals as the slave sensing signal, to obtain the main sensing signal and at least one slave sensing signal; according to the first initial sampling frequency and the second initial sampling frequency corresponding to any target slave sensing signal among the at least one slave sensing signal, obtaining the frequency relationship multiple between the target slave sensing signal and the main sensing signal; wherein the frequency relationship multiple is a positive integer; determining the target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple; wherein the target sampling frequency is an integer multiple of the first initial sampling frequency; acquiring the target slave sensing signal according to the target sampling frequency, and acquiring the main sensing signal according to the first initial sampling frequency.

[0096] In addition, the logic instructions in the above-mentioned memory 1030 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0097] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the multi-source signal acquisition method for ultra-precision machine tools provided by the above methods. The method includes: obtaining the initial sampling frequency of the induction signal output by multiple sensors of the ultra-precision machine tool, and obtaining multiple initial sampling frequencies corresponding to the multiple induction signals one by one; obtaining a first initial sampling frequency among the multiple initial sampling frequencies; wherein the first initial sampling frequency is less than the other initial sampling frequencies among the multiple initial sampling frequencies; determining the induction signal corresponding to the first initial sampling frequency A main sensing signal is determined, and each sensing signal other than the main sensing signal among the multiple sensing signals is determined as a slave sensing signal, to obtain a main sensing signal and at least one slave sensing signal; according to a first initial sampling frequency and a second initial sampling frequency corresponding to any target slave sensing signal among the at least one slave sensing signal, a frequency relationship multiple between the target slave sensing signal and the main sensing signal is obtained; wherein the frequency relationship multiple is a positive integer; according to the first initial sampling frequency and the frequency relationship multiple, a target sampling frequency of the target slave sensing signal is determined; wherein the target sampling frequency is an integer multiple of the first initial sampling frequency; the target slave sensing signal is collected according to the target sampling frequency, and the main sensing signal is collected according to the first initial sampling frequency.

[0098] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the multi-source signal acquisition method for an ultra-precision machine tool provided by the above-mentioned methods, the method comprising: obtaining an initial sampling frequency of a sensing signal output by a plurality of sensors of the ultra-precision machine tool, and obtaining a plurality of initial sampling frequencies corresponding to the plurality of sensing signals one by one; obtaining a first initial sampling frequency among the plurality of initial sampling frequencies; wherein the first initial sampling frequency is less than the other initial sampling frequencies among the plurality of initial sampling frequencies; determining the sensing signal corresponding to the first initial sampling frequency as the main sensing signal, and converting the plurality of sensing signals into a plurality of initial sampling frequencies; The sensing signals other than the main sensing signal in the at least one slave sensing signal are determined as slave sensing signals, and a main sensing signal and at least one slave sensing signal are obtained; a frequency relationship multiple between the target slave sensing signal and the main sensing signal is obtained according to the first initial sampling frequency and the second initial sampling frequency corresponding to any target slave sensing signal in the at least one slave sensing signal; wherein the frequency relationship multiple is a positive integer; a target sampling frequency of the target slave sensing signal is determined according to the first initial sampling frequency and the frequency relationship multiple; wherein the target sampling frequency is an integer multiple of the first initial sampling frequency; the target slave sensing signal is collected according to the target sampling frequency, and the main sensing signal is collected according to the first initial sampling frequency.

[0099] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0100] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for collecting multi-source signals of ultra-precision machine tools in time domain alignment, characterized in that: include: Acquire the initial sampling frequencies of the sensing signals output by the multiple sensors of the ultra-precision machine tool, and obtain multiple initial sampling frequencies corresponding to the multiple sensing signals one by one; Acquire a first initial sampling frequency among the multiple initial sampling frequencies; wherein the first initial sampling frequency is lower than other initial sampling frequencies among the multiple initial sampling frequencies; Determine the sensing signal corresponding to the first initial sampling frequency as a main sensing signal, and determine each sensing signal other than the main sensing signal among the multiple sensing signals as a slave sensing signal, to obtain a main sensing signal and at least one slave sensing signal; According to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave sensing signal in the at least one slave sensing signal, obtaining a frequency relationship multiple between the target slave sensing signal and the master sensing signal; wherein the frequency relationship multiple is a positive integer; Determining a target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple; wherein the target sampling frequency is an integer multiple of the first initial sampling frequency; The target slave sensing signal is collected according to the target sampling frequency, and the master sensing signal is collected according to the first initial sampling frequency.

2. The method for collecting multi-source signals of ultra-precision machine tools in time domain alignment according to claim 1, characterized in that: The acquiring, according to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave sensing signal in the at least one slave sensing signal, a frequency relationship multiple between the target slave sensing signal and the master sensing signal comprises: Obtaining a ratio of the second initial sampling frequency to the first initial sampling frequency; The ratio is rounded up, and the rounded result is determined as the frequency relationship multiple.

3. The method for collecting multi-source signals of ultra-precision machine tools in time domain alignment according to claim 1 or 2, characterized in that: The step of determining a target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple includes: A first product of the first initial sampling frequency and the frequency relationship multiple is determined as the target sampling frequency of the target slave induction signal.

4. The method for collecting multi-source signals of an ultra-precision machine tool in time domain alignment according to claim 1 or 2, characterized in that: The step of determining a target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple includes: Obtaining a signal source type coefficient corresponding to the signal source type of the target slave sensing signal; wherein the signal source type coefficient is a positive integer; Obtaining a first product of the first initial sampling frequency and the frequency relationship multiple; Obtaining a second product of the first product and the signal source type coefficient; The second product is determined as the target sampling frequency of the target slave sensing signal.

5. The method for collecting multi-source signals of ultra-precision machine tools in time domain alignment according to claim 1, characterized in that: The method of obtaining the initial sampling frequency of the sensing signals output by the plurality of sensors of the ultra-precision machine tool comprises: Acquire sensing signals output by a plurality of sensors of the ultra-precision machine tool to obtain a plurality of sensing signals corresponding to the plurality of sensors one by one; For each of the multiple sensing signals, a target signal frequency among all the signal frequencies thereof is acquired; wherein the target signal frequency is greater than other signal frequencies among all the signal frequencies; According to the target signal frequency of the target sensing signal, an initial sampling frequency of the target sensing signal is determined; wherein the target sensing signal is any one of the multiple sensing signals.

6. The method for collecting multi-source signals of ultra-precision machine tools in time domain alignment according to claim 1, characterized in that: After collecting the target slave sensing signal according to the target sampling frequency and collecting the main sensing signal according to the first initial sampling frequency, the method further includes: Acquire a collection signal collected according to a set sampling frequency of a target sensing signal; wherein, when the target sensing signal is the master sensing signal, the set sampling frequency is the first initial sampling frequency, and when the target sensing signal is the target slave sensing signal, the set sampling frequency is the target sampling frequency; the target sensing signal is any one of the multiple sensing signals; Acquire multiple characteristic values ​​of the collected signal within a set time window; wherein the multiple characteristic values ​​include: at least one time domain characteristic value and at least one frequency domain characteristic value; When at least one target characteristic value among the multiple characteristic values ​​exceeds a set range of the target characteristic value, an early warning signal is issued.

7. A multi-source signal time domain alignment acquisition device for ultra-precision machine tools, characterized in that: include: A first acquisition module is used to acquire the initial sampling frequencies of the sensing signals output by the multiple sensors of the ultra-precision machine tool, and obtain multiple initial sampling frequencies corresponding to the multiple sensing signals one by one; A second acquisition module, configured to acquire a first initial sampling frequency among the multiple initial sampling frequencies; wherein the first initial sampling frequency is smaller than other initial sampling frequencies among the multiple initial sampling frequencies; a first determining module, configured to determine the sensing signal corresponding to the first initial sampling frequency as a main sensing signal, and to determine each sensing signal other than the main sensing signal among the plurality of sensing signals as a slave sensing signal, so as to obtain a main sensing signal and at least one slave sensing signal; a processing module, configured to obtain a frequency relationship multiple between the target slave sensing signal and the master sensing signal according to the first initial sampling frequency and a second initial sampling frequency corresponding to any target slave sensing signal in the at least one slave sensing signal; wherein the frequency relationship multiple is a positive integer; A second determination module is used to determine a target sampling frequency of the target slave sensing signal according to the first initial sampling frequency and the frequency relationship multiple; wherein the target sampling frequency is an integer multiple of the first initial sampling frequency; The acquisition module is used to acquire the target slave sensing signal according to the target sampling frequency, and to acquire the main sensing signal according to the first initial sampling frequency.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the method for collecting time-domain alignment of multi-source signals for an ultra-precision machine tool as claimed in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for collecting multi-source signals for time domain alignment of an ultra-precision machine tool as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for collecting multi-source signals for time domain alignment of an ultra-precision machine tool as claimed in any one of claims 1 to 6 is implemented.

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