TW202141055A - Sampling rate correction method, system, apparatus and storage medium - Google Patents

Abstract

A sampling rate correction method, system, apparatus and storage medium are provided. The method includes the following steps. The sampling points within a correction period are counted and the sampling time within a correction period is calculated. The correction time is determined according to the timing of a correction timer at the beginning and the end of the correction period. The sampling deviation within the correction period is determined according to the sampling time and the correction time. The sampling data is corrected according to the sampling deviation. The invention does not need to modify or increase the hardware circuit. After sampling rate correction, the time deviation generated during sampling is improved, and the sampling accuracy is improved. Experiments show that the accuracy of the sampling rate can be greatly improved and stable without drift. The method may apply to the different wafers, it can ensure the accuracy of the sampling data and the accuracy of the data.

Description

Sampling rate correction method, system, equipment and storage medium

The present invention relates to the technical field of sampling, in particular to a sampling rate correction method, system, equipment and storage medium.

Sampling rate refers to the number of samples extracted from a continuous signal per second to form a discrete signal, expressed in Hertz (Hz). Generally, the sampling chip provides its sampling reference through a built-in clock or an external crystal oscillator, which will be affected by device differences, temperature, time aging, etc., which will cause time drift. For example, for the electrocardiogram equipment, the heart rate acquisition chip in it has deviations, and the MCU (Microcontroller Unit) operation also has deviations, resulting in inconsistent time lengths for the same amount of sampling data, which will affect data acquisition due to inaccurate timing. Effect.

There are mainly two sampling rate correction methods in the prior art. One method is to provide a circuit to correct the sampling rate by means of time-domain difference. Specifically, the circuit includes: a first circuit loop with an up/down counter and a configuration It receives the input signal and the feedback signal; and the adder is configured to receive the output signal from the up/down counter, and the up/down counter outputs the carry output as the feedback signal; and the second circuit loop is configured to transmit the output signal from the The sum of the adder is output to the modulator, and the output signal from the modulator is fed back to the input of the adder. However, this method needs to increase the hardware circuit to correct the sampling rate, which is more complicated.

Another way is to use an automatic frequency correction method, which includes the following steps: S1. Perform down-conversion decimation filtering on the received digital signal with a sampled frequency of 15.36MHZ and a data rate of 61.44MHZ to obtain a 269.473K GSM signal ; S2, perform FCCH detection on the GSM signal to obtain the FCCH signal; S3, fit the FCCH data to the slope of the straight line and demodulate the output slope; S4, compare the output slope with the ideal slope, calculate the slope deviation value and obtain the corresponding frequency deviation value ; Then according to the slope deviation value, the input data of the synchronous control circuit is obtained by looking up the data table and the input data is configured to the synchronous control circuit; S5, the synchronous control circuit generates an output voltage according to the input data to control the crystal oscillator clock pulse CP to realize frequency correction. This method first calculates the deviation through an algorithm, and then controls the voltage to control the clock of the crystal oscillator for correction. It is also more complicated and requires modification of the hardware circuit.

In view of the problems in the prior art, the purpose of the present invention is to provide a sampling rate correction method, system, equipment and storage medium, without modifying or adding hardware circuits, and after prediction and correction, to improve the time deviation generated during sampling, Improve sampling accuracy.

The embodiment of the present invention provides a sampling rate correction method, including the following steps: counting the number of sampling points in a correction period, calculating the sampling time in a correction period; determining the correction according to the timing of the correction timer at the beginning and end of the correction period Time; Determine the sampling deviation in the correction period according to the sampling time and the correction time; Correct the sampling data according to the value of the sampling deviation.

Optionally, the calculation of the sampling time in a calibration period includes the following steps: calculating the time length of the sampling period according to the current sampling rate; multiplying the number of sampling points in a calibration period by the time length of a sampling period to obtain a Sampling time within the calibration period.

Optionally, before counting the number of sampling points in a calibration period, the method further includes the following steps: at the beginning of the measurement, collecting the historical deviation rate and the limit deviation rate; and predicting the correction period based on the historical deviation rate and the limit deviation rate.

Optionally, the prediction of the correction period based on the historical deviation rate and the limit deviation rate includes the following steps: calculate the limit correction period according to the following formula: limit correction period=sampling period/limit deviation value; calculate the predicted correction period according to the following formula: prediction Calibration period = limit calibration period * (limit deviation rate/historical deviation rate).

Optionally, after the sampling deviation in the correction period is determined according to the sampling time and the correction time, the method further includes the following step: judging whether the absolute value of the sampling deviation is greater than or equal to a first preset threshold, and if so, then Re-adjust the calibration cycle.

Optionally, the readjustment of the correction period includes the following steps: calculate the deviation rate of the current correction period using the following formula: deviation rate of the current correction period = deviation value of the current correction period/correction period duration; recalculate using the following formula Adjusted correction cycle: adjusted correction cycle = 1/(sampling rate of current correction cycle * deviation rate of current correction cycle), the unit is seconds.

Optionally, correcting the sampling data according to the value of the sampling deviation includes the following steps: if the sampling time is greater than the correction time, and the difference between the sampling time and the correction time is greater than or equal to the second preset If the threshold is set, the data of one sampling point is removed from the sampling data; if the sampling time is less than the correction time, and the difference between the correction time and the sampling time is greater than or equal to the second preset threshold, then the sampling Add a sampling point to the data.

Optionally, the second preset threshold is one sampling period.

Optionally, the removing the data of a sampling point from the sampling data includes removing the data of the last sampling point collected in the sampling period.

An embodiment of the present invention also provides a sampling rate correction system, which is used to implement the sampling rate correction method. The system includes: a deviation statistics module, used to count the number of sampling points in a correction period, and calculate the number of sampling points in a correction period. According to the sampling time of the calibration period, the calibration time is determined according to the timing of the calibration timer at the beginning and the end of the calibration period, and the sampling deviation in the calibration period is determined according to the sampling time and the calibration time; the deviation correction module is used to determine the sampling deviation in the calibration period according to the The value of the sampling deviation corrects the sampling data.

Optionally, the system further includes: a historical record module for recording historical deviation rates; a correction cycle prediction module for collecting historical deviation rates and limit deviation rates at the beginning of the measurement, and based on the historical deviation rates And the limit deviation rate prediction correction period; the correction period adjustment module is used to readjust the correction period when the absolute value of the sampling deviation is greater than or equal to the first preset threshold.

An embodiment of the present invention also provides a sampling rate correction device, including: a processor; a memory, in which executable instructions of the processor are stored; wherein, the processor is configured to execute all of the executable instructions by executing the executable instructions. The steps of the sampling rate correction method described.

The embodiment of the present invention also provides a computer-readable storage medium for storing a program, which implements the steps of the sampling rate correction method when the program is executed.

It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure.

The sampling rate correction method, system, equipment and storage medium provided by the present invention have the following advantages:

The invention does not need to modify or increase the hardware circuit. After sampling rate correction, the time deviation generated during sampling is improved, and the sampling accuracy is improved. The experiment proves that the accuracy of the sampling rate can be greatly improved, and the method is stable without drift. Due to the difference of different chips, it can ensure the accuracy of the sampling data while also ensuring the accuracy of the data. Further, the present invention can dynamically adjust the correction period to optimize the consumption of the resources of the micro-control unit by the correction operation.

In order to have a better understanding of the above and other aspects of the present invention, the following specific examples are given in conjunction with the accompanying drawings to describe in detail as follows:

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms, and should not be construed as being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to Those skilled in the art. The described features, structures or characteristics can be combined in one or more embodiments in any suitable way.

In addition, the drawings are only schematic illustrations of the present disclosure, and are not necessarily drawn to scale. The same reference numerals in the figures denote the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in the form of software, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and/or processor devices and/or microcontroller devices These functional entities.

As shown in Figure 1, in an embodiment of the present invention, the present invention proposes a sampling rate correction method, which includes the following steps:

S100: Count the number of sampling points in a calibration period, and calculate the sampling time in a calibration period;

S200: Determine the correction time according to the timing of the correction timer at the start and end of the correction period. The correction timer may be an RTC (real-time clock) inside the micro-control unit or a clock external to the micro-control unit;

S300: Determine the sampling deviation in the correction period according to the sampling time and the correction time. Specifically, the sampling deviation=sampling time-correction time. Since the sampling module is sampling, the deviation will also fluctuate. The present invention is based on the current correction The cumulative deviation value in the cycle corrects the deviation in time, and re-accumulates the deviation value in the next calibration period to avoid repeated accumulation of the deviation;

S400: Correct the sampling data according to the value of the sampling deviation.

The sampling data processing process in the prior art is generally: the sampling module collects data according to the sampling rate, sends the collected original sampling data to the sampling processor module, and the sampling processor module performs sampling after receiving the sampling processing module Data storage.

On the basis of the prior art, the present invention adds a sampling rate correction method. After the sampling processor module based on the micro-control unit receives the original sampling data, the original sampling data is corrected according to the correction period and the sampling deviation to obtain the correction. After sampling the data, then save it.

Specifically, the present invention calculates the sampling deviation through steps S100 to S300, and corrects the sampling data through step S400. When calculating the sampling deviation, a timer built in or connected to the sampling processor module can be used as the correction timer. Timing reference, so there is no need to modify or add hardware circuits. After sampling rate correction, the time deviation generated during sampling is improved, and the sampling accuracy is improved. This method can adapt to the differences of different chips and can ensure the accuracy of sampling data. At the same time, it also guarantees the accuracy of the information.

As shown in Figure 2, in this embodiment, the step S100: calculating the sampling time in a calibration period includes the following steps:

S110: Calculate the time length of the sampling period according to the current sampling rate, the sampling period=1/sampling rate, the unit is s, for example, if the current sampling rate is 500, the sampling period is 0.002s, that is, 2ms;

S120: Multiply the number of sampling points in a calibration period by the length of a sampling period to obtain the sampling time in a calibration period. For example, the number of sampling points in a calibration period is 330, the sampling period is 2ms, and one calibration period is The sampling time in the cycle is 330*2ms=660ms.

If the calibration timer counts as 0 before the current calibration cycle starts, and when the current calibration cycle ends, the calibration timer counts as 652ms, then the calibration time is 652ms, and the difference between the sampling time and the calibration time is 660ms-652ms= 8ms.

In practical applications, the sampling deviation may change, the cumulative deviation is required to correct the predicted correction period, the cumulative deviation is recorded, and the correction period for subsequent measurements is predicted based on the cumulative deviation. Specifically, as shown in Figure 2, in this embodiment, the step S100: before counting the number of sampling points in a correction period, it further includes predicting the correction period, specifically including the following steps:

At the beginning of the measurement, the historical deviation rate and the limit deviation rate are collected. The historical deviation rate refers to the historical deviation rate of the same sampling module calculated based on the historical record data. For example, each calibration in the previous measurement can be used The average value of the cycle deviation rate. The limit deviation rate can be obtained from the product description or experimental data of the sampling module. It refers to the deviation rate of the sampling module in the worst case. The deviation rate is defined as the deviation within a certain time t The ratio of the value to the certain time t;

The correction period is predicted based on the historical deviation rate and the limit deviation rate.

In this embodiment, predicting the correction period based on the historical deviation rate and the limit deviation rate includes the following steps:

Calculate the limit correction period according to the following formula:

Limit correction period=sampling period/limit deviation value;

Calculate the forecast correction period according to the following formula:

Forecast correction period = limit correction period * (limit deviation rate/historical deviation rate).

For example, in an example, the sampling rate is 500 samples per second, the sampling period is 2 ms, and the limit deviation rate is 3%. The historical deviation rate obtained from the historical data recorded in the previous measurement is 0.3%. The calculated limit correction period is 2/0.03=66ms, and the predicted correction period is 66ms*(3%/0.3%)=660ms. Then the time length of the first calibration cycle of the current measurement is 660ms. When the device is used for the first time and there is no historical deviation rate, the limit correction period is used as the predicted correction period.

When the sampling rate correction method is adopted, the sampling deviation will also fluctuate. According to the deviation value in the current correction period, the correction period needs to be dynamically adjusted to correct the deviation of the sampling data in time. Specifically, as shown in Figure 2, in this embodiment, the step S300: after determining the sampling deviation in the correction period according to the sampling time and the correction time, the method further includes the following steps:

Determine whether the absolute value of the sampling deviation is greater than or equal to the first preset threshold, and if so, readjust the correction period. Here, the first preset threshold is a preset allowable deviation threshold, and the specific value can be set as required. For example, the value of the first preset threshold is set to two sampling periods, that is, 4 ms.

In the above example, the sampling time is 660ms, the correction time is 652ms, and the difference is 8ms>4ms, and the correction period needs to be re-adjusted. In other embodiments, if the sampling time is less than the correction time and the absolute value of the sampling deviation is greater than or equal to the first preset threshold, the correction period also needs to be re-adjusted. If the absolute value of the difference between the sampling time and the correction time is less than the first preset threshold, the correction period is not currently adjusted.

In this embodiment, the readjustment of the correction period includes the following steps:

Use the following formula to calculate the deviation rate of the current calibration cycle:

The deviation rate of the current calibration period = the deviation value of the current calibration period/the length of the calibration period;

Use the following formula to recalculate the adjusted correction period:

The adjusted correction period = 1/(sampling rate of the current correction period * deviation rate of the current correction period), in seconds. For example, if the sampling rate of the current calibration cycle is 500, and the deviation rate of the current calibration cycle is 8ms/660ms, the adjusted calibration cycle obtained by calculation is 1/(500*(8/660)=0.165s, that is, 165ms.

Therefore, the sampling rate correction method of the present invention predicts the correction period and corrects the sampling data in each correction period to improve the time deviation generated during sampling and improve the sampling accuracy. At the same time, the correction period is dynamically adjusted to optimize the correction operation. Micro control unit resource expenditure.

As shown in Figure 3, in this embodiment, the step S400: correcting the sampling data according to the value of the sampling deviation includes the following steps:

S410: Determine whether the sampling time is greater than the correction time, if yes, proceed to step S420, otherwise proceed to step S440;

S420: Determine whether the difference between the sampling time and the correction time is greater than or equal to a second preset threshold, if yes, proceed to step S430, otherwise proceed to step S460;

S430: That is, the sampling time is greater than the correction time, and the difference between the sampling time and the correction time is greater than the second preset threshold, the sampling data is corrected by the de-value method, that is, the data of one sampling point is removed from the sampling data;

S440: Determine whether the difference between the correction time and the sampling time is greater than or equal to a second threshold, if yes, proceed to step S450, otherwise proceed to step S460;

S450: That is, the sampling time is less than the correction time, and the difference between the correction time and the sampling time is greater than the second preset threshold, the sampling data is corrected by interpolation, that is, the data of a sampling point is added to the sampling data;

S460: Do not correct the sampling data.

Figures 4 and 5 show the schematic diagrams of correcting sampled data by de-value method and interpolation method. In Figures 4 and 5, curve A represents the waveform of the ECG sampled data, and the time axis B represents the correction time. In Figure 4, the time axis C represents sampling data 1, and the time axis D represents sampling data 2. The sampling in time axis C is too fast, and the 11th sampling point is removed by the de-value method to obtain the time axis in Figure 5. C', the time axis D in Figure 4 is too slow to sample. Interpolation is used and the 10th sampling point is added to obtain the time axis D'in Figure 5.

Here, the value of the second preset threshold can be selected as required, for example, can be selected as the time length of a sampling period.

In this embodiment, in the step S430, removing the data of a sampling point from the sampling data includes removing the data of the last sampling point collected in the sampling period, that is, the sampling data collected first is preferentially retained, and the last sampling data The collected sampling data is removed.

As shown in Figure 6, an embodiment of the present invention also provides a sampling rate correction system for implementing the sampling rate correction method, the system includes:

The deviation statistics module M100 is used to count the number of sampling points in a correction period, calculate the sampling time in a correction period, determine the correction time according to the timing of the correction timer at the beginning and end of the correction period, and according to the sampling Time and calibration time determine the sampling deviation within the calibration period;

The deviation correction module M200 is used to correct the sampling data according to the value of the sampling deviation.

Therefore, the sampling rate correction system of the present invention calculates the sampling deviation through the deviation statistics module M100, and corrects the sampling data through the deviation correction module M200. When calculating the sampling deviation, the sampling processor module itself or an external device can be used. The timer is used as a correction timer and as a timing reference, so there is no need to modify or add hardware circuits. After sampling rate correction, the time deviation generated during sampling is improved, and the sampling accuracy is improved. This method can be adapted to the differences of different chips. , To ensure the accuracy of the sampling data while also ensuring the accuracy of the data.

In this embodiment, the sampling rate correction system is also used to predict the correction period at the beginning of each measurement. Therefore, the system further includes:

The historical record module M300 is used to record the historical deviation rate, for example, record the deviation rate of each calibration period in the previous measurement, and then calculate the average value as the historical deviation rate;

The correction period prediction module M400 is used to collect the historical deviation rate and the limit deviation rate at the beginning of the measurement, and predict the correction period according to the historical deviation rate and the limit deviation rate. Specifically, the specific implementation of the above sampling rate correction method can be used In the example, the prediction method of the correction period is realized.

Further, the sampling rate correction system is also used for judging whether the correction period needs to be adjusted after each correction period. Specifically, the system further includes a correction period adjustment module M500, which is used to readjust the correction period when the absolute value of the sampling deviation is greater than or equal to the first preset threshold. The re-adjustment method can adopt the specific implementation of the above-mentioned sampling rate correction method. In the example, adjust the method to achieve.

Therefore, the sampling rate correction system of the present invention predicts the correction period and corrects the sampling data in each correction period to improve the time deviation generated during sampling and improve the sampling accuracy. At the same time, it dynamically adjusts the correction period to optimize the correction operation. Micro control unit resource expenditure.

An embodiment of the present invention also provides a sampling rate correction device, including a processor; a memory, in which executable instructions of the processor are stored; wherein, the processor is configured to execute the executable instructions by executing the executable instructions. The steps of the sampling rate correction method.

Those skilled in the art can understand that various aspects of the present invention can be implemented as a system, a method, or a program product. Therefore, various aspects of the present invention can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software. Collectively referred to as "circuits", "modules" or "platforms".

The electronic device 600 according to this embodiment of the present invention will be described below with reference to FIG. 7. The electronic device 600 shown in FIG. 7 is only an example, and should not bring any limitation to the function and application scope of the embodiment of the present invention.

As shown in Figure 7, the electronic device 600 is represented in the form of a general-purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus bar 630 connecting different platform components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.

Wherein, the storage unit stores program codes, and the program codes can be executed by the processing unit 610, so that the processing unit 610 executes the various exemplary implementations of the present invention described in the above-mentioned electronic prescription circulation processing method section of this specification. Way steps. For example, the processing unit 610 may execute the steps shown in Figure 1.

The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 6201 and/or a cache storage unit 6202, and may further include a read-only storage unit (ROM) 6203.

The storage unit 620 may also include a program/utility tool 6204 having a set (at least one) program module 6205. Such program module 6205 includes but is not limited to: an operating system, one or more application programs, and other program modules. Groups and program data, each of these examples or some combination may include the realization of the network environment.

The bus 630 can represent one or more of several types of bus structures, including a storage unit bus or a storage unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or any bus structure using multiple bus structures Local bus.

The electronic device 600 can also communicate with one or more external devices 700 (such as keyboards, pointing devices, Bluetooth devices, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device 600, and/or Communicate with any device (eg, router, modem, etc.) that enables the electronic device 600 to communicate with one or more other computing devices. This communication can be performed through an input/output (I/O) interface 650. In addition, the electronic device 600 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through a network interface card 660. The network interface card 660 can communicate with other modules of the electronic device 600 through the bus 630. It should be understood that although not shown in the figure, other hardware and/or software modules can be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID System, tape drive and data backup storage platform, etc.

The embodiment of the present invention also provides a computer-readable storage medium for storing a program, which implements the steps of the sampling rate correction method when the program is executed. In some possible implementation manners, various aspects of the present invention can also be implemented in the form of a program product, which includes a program code. When the program product runs on a terminal device, the program code is used to make the terminal The device executes the steps according to various exemplary embodiments of the present invention described in the above-mentioned electronic prescription circulation processing method section of this specification.

With reference to Figure 8, a program product 800 for implementing the above method according to an embodiment of the present invention is described. It can use a portable compact disk read-only memory (CD-ROM) and include program codes, and can Run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited to this. In this document, the readable storage medium can be any tangible medium that contains or stores a program. The program can be used by or combined with an instruction execution system, device, or device.

The program product can use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or a combination of any of the above. More specific examples (non-exhaustive list) of readable storage media include: electrical connections with one or more wires, portable disks, hard drives, random access memory (RAM), read-only memory ( ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical memory, magnetic memory, or Any suitable combination of the above.

The computer-readable storage medium may include a data signal propagated in baseband or as a part of a carrier wave, which carries readable program codes. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The readable storage medium may also be any readable medium other than the readable storage medium, and the readable medium can send, propagate, or transmit a program for use by or in combination with the instruction execution system, apparatus, or device. The program code contained on the readable storage medium can be transmitted by any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

The programming code used to perform the operations of the present invention can be written in any combination of one or more programming languages. The programming languages include object-oriented programming languages—such as Java, C++, etc., as well as conventional procedural programming. Language-such as "C" language or similar programming language. The code can be executed entirely on the user's computing device, partly on the user's device, executed as a stand-alone software package, partly on the user's computing device and partly executed on the remote computing device, or completely remotely executed. On the end computing device or server. In the case of a remote computing device, the remote computing device can be connected to a user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device ( For example, use an Internet service provider to connect via the Internet).

The sampling rate correction method, system, equipment and storage medium provided by the present invention have the following advantages:

The invention does not need to modify or increase the hardware circuit. After sampling rate correction, the time deviation generated during sampling is improved, and the sampling accuracy is improved. The experiment proves that the accuracy of the sampling rate can be greatly improved, and the method is stable without drift. Due to the difference of different chips, it can ensure the accuracy of the sampling data while also ensuring the accuracy of the data. Further, the present invention can dynamically adjust the correction period to optimize the consumption of the resources of the micro-control unit by the correction operation.

The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be considered that the specific implementation of the present invention is limited to these descriptions. For those of ordinary skill in the technical field to which the present invention belongs, a number of simple deductions or substitutions can be made without departing from the concept of the present invention, which should be regarded as falling within the protection scope of the present invention.

In summary, although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention. Those with ordinary knowledge in the technical field of the present invention can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be subject to those defined by the attached patent scope.

S100, S110, S120, S200, S300, S400, S410, S420, S430, S440, S450, S460: steps A: Curve B,C,D,C’,D’: Timeline M100: Deviation Statistics Module M200: Deviation correction module M300: History module M400: Calibration cycle prediction module M500: Calibration cycle adjustment module 600: electronic equipment 610: Processing Unit 620: storage unit 6201: RAM 6202: Fast temporary storage 6203: ROM 6204: Programs/Utilities 6205: program module 630: Bus 640: display unit 650: I/O interface 660: network interface card 700: External device 800: program products

By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, purposes and advantages of the present invention will become more apparent. Figure 1 is a flowchart of a sampling rate correction method according to an embodiment of the present invention; Figure 2 is a flowchart of a sampling rate correction method of a specific example of the present invention; Figure 3 is a flowchart of sampling data correction according to an embodiment of the present invention; Figures 4 and 5 are schematic diagrams of correction by de-value method and interpolation method according to an embodiment of the present invention; Figure 6 is a schematic structural diagram of a sampling rate correction system according to an embodiment of the present invention; Figure 7 is a schematic structural diagram of a sampling rate correction device according to an embodiment of the present invention; FIG. 8 is a schematic diagram of the structure of a computer-readable storage medium according to an embodiment of the present invention.

S100, S200, S300, S400: steps

Claims (13)

A sampling rate correction method, including: Count the number of sampling points in a calibration period and calculate the sampling time in a calibration period; Determine the correction time according to the timing of the correction timer at the beginning and end of the correction period; Determine the sampling deviation in the correction period according to the sampling time and the correction time; The sampling data is corrected according to the value of the sampling deviation. According to the sampling rate correction method described in claim 1, the calculation of the sampling time in one correction period includes: Calculate the time length of the sampling period according to the current sampling rate; Multiply the number of sampling points in a calibration period by the time length of a sampling period to obtain the sampling time in a calibration period. As the sampling rate correction method described in claim 1, before counting the number of sampling points in a correction period, the method further includes: At the beginning of the measurement, the historical deviation rate and the limit deviation rate are collected; The correction period is predicted based on the historical deviation rate and the limit deviation rate. According to the sampling rate correction method described in claim 3, the prediction of the correction period based on the historical deviation rate and the limit deviation rate includes: Calculate the limit correction period according to the following formula: Limit correction period=sampling period/limit deviation value; Calculate the forecast correction period according to the following formula: Forecast correction period = limit correction period * (limit deviation rate/historical deviation rate). According to the sampling rate correction method of claim 3, after the sampling deviation in the correction period is determined according to the sampling time and the correction time, the method further includes: Determine whether the absolute value of the sampling deviation is greater than or equal to the first preset threshold, and if so, readjust the correction period. According to the sampling rate correction method described in claim 4, the re-adjustment of the correction period includes: Use the following formula to calculate the deviation rate of the current calibration cycle: The deviation rate of the current calibration period = the deviation value of the current calibration period/the length of the calibration period; Use the following formula to recalculate the adjusted correction period: The adjusted correction period = 1/(sampling rate of the current correction period * deviation rate of the current correction period), in seconds. According to the sampling rate correction method described in claim 1, correcting the sampling data according to the value of the sampling deviation, including: If the sampling time is greater than the correction time, and the difference between the sampling time and the correction time is greater than or equal to a second preset threshold, removing data at one sampling point from the sampling data; If the sampling time is less than the correction time, and the difference between the correction time and the sampling time is greater than or equal to a second preset threshold, then one sampling point data is added to the sampling data. According to the sampling rate correction method described in claim 7, the second preset threshold is one sampling period. According to the sampling rate correction method described in claim 7, the removing the data of a sampling point from the sampling data includes removing the data of the last sampling point collected in the sampling period. A sampling rate correction system, which is used to implement the sampling rate correction method described in any one of request items 1 to 9, the system comprising: The deviation statistics module is used to count the number of sampling points in a correction period, calculate the sampling time in a correction period, determine the correction time according to the timing of the correction timer at the beginning and end of the correction period, and according to the sampling time And the calibration time to determine the sampling deviation in the calibration period; The deviation correction module is used to correct the sampling data according to the value of the sampling deviation. According to the sampling rate correction system of claim 10, the system further includes: Historical record module, used to record historical deviation rate; The correction cycle prediction module is used to collect the historical deviation rate and the limit deviation rate at the beginning of the measurement, and predict the correction period based on the historical deviation rate and the limit deviation rate; The correction period adjustment module is used to readjust the correction period when the absolute value of the sampling deviation is greater than or equal to the first preset threshold. A sampling rate correction device, including: processor; A memory in which executable instructions of the processor are stored; Wherein, the processor is configured to execute the steps of the sampling rate correction method according to any one of request items 1 to 9 by executing the executable instructions. A computer-readable storage medium is used to store a program, and when the program is executed, the steps of the sampling rate correction method described in any one of request items 1 to 9 are realized.

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