CN111130504A - Data acquisition method capable of self-adjusting sampling frequency - Google Patents

Data acquisition method capable of self-adjusting sampling frequency Download PDF

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CN111130504A
CN111130504A CN201911336203.7A CN201911336203A CN111130504A CN 111130504 A CN111130504 A CN 111130504A CN 201911336203 A CN201911336203 A CN 201911336203A CN 111130504 A CN111130504 A CN 111130504A
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sampling frequency
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朱星
许强
王浩
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Chengdu Univeristy of Technology
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    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03H—IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS; RESONATORS
    • H03H17/00—Networks using digital techniques
    • H03H17/02—Frequency selective networks
    • H03H17/0211—Frequency selective networks using specific transformation algorithms, e.g. WALSH functions, Fermat transforms, Mersenne transforms, polynomial transforms, Hilbert transforms

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Abstract

The invention discloses a data acquisition method for self-adjusting sampling frequency, and the idea of the invention is to set the signal to be sampled asx(t) At an initial sampling frequency off(ii) a Recording the sampled data values of three consecutive points; calculating the absolute value of the current data change speed according to the sampled data value
Figure 822731DEST_PATH_IMAGE001
Current data change absolute amount of acceleration
Figure 170536DEST_PATH_IMAGE002
(ii) a Recording
Figure 707215DEST_PATH_IMAGE001
、
Figure 965021DEST_PATH_IMAGE002
And to
Figure 988341DEST_PATH_IMAGE001
、
Figure 698808DEST_PATH_IMAGE002
And (6) normalization processing. And finally, calculating by using a formula to obtain a value of the next sampling frequency, and repeating the operation by using the value of the next sampling frequency, thereby achieving the purpose of self-adjusting the sampling frequency. The invention establishes the mapping relation between the data change condition and the data sampling frequency, and the system can adjust the sampling frequency by the algorithm after only the normal sampling frequency is given, thereby avoiding the use limitation caused by setting the sampling frequency and the trigger threshold value by the manual experience.

Description

Data acquisition method capable of self-adjusting sampling frequency
Technical Field
The present invention relates to a data acquisition method, and more particularly, to a data acquisition method capable of self-adjusting sampling frequency.
Background
In the development of field monitoring instrument equipment for geological disasters, the data acquisition method mainly comprises two methods: (1) setting fixed frequency sampling for equal interval time sampling; (2) and judging and sampling according to the difference condition between two adjacent points.
According to the method (1), the sampling frequency is preset before the equipment is used or is manually and remotely modified according to conditions in the using process, so that if the set frequency is too high, a large amount of redundant data can be caused, the power consumption of the equipment is greatly improved, the time for monitoring the equipment is greatly reduced, and if the frequency is too low, the sampled data can be seriously distorted.
The method (2) also presets a plurality of sampling frequencies and trigger thresholds, compares the difference value of two sampling values with the trigger threshold by calculation, and adjusts the current sampling frequency according to the comparison result and the sampling frequency corresponding to the threshold. Therefore, the method can realize the function of automatically adjusting the frequency, but has the disadvantage that a plurality of groups of sampling frequencies and trigger thresholds need to be manually set, and the setting method usually depends on the experience of users, thereby increasing the use difficulty.
Disclosure of Invention
The present invention is directed to provide a data acquisition method for self-adjusting sampling frequency, which solves the above problems, calculates the data change condition according to the current sampling data, and automatically adjusts the sampling frequency according to the data change condition, thereby overcoming the disadvantage of the prior art that the frequency and the threshold value need to be set manually according to experience.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a data acquisition method for self-adjusting sampling frequency comprises the following steps:
(1) setting a signal to be sampled as x (t), an initial sampling frequency as f, and a current sampling frequency f*F, t is the sampling time;
(2) at a frequency f*Sampling x (t) to obtain sampling data values, and recording sampling data values s (t-2), s (t-1) and s (t) of three continuous points;
(3) calculating absolute data change speed quantities v (t) | s (t-1) | v (t-1) | s (t-1) -s (t-2) | at time t and time t-1;
(4) calculating the absolute acceleration change amount a (t) ═ v (t) — v (t-1) | of the current data;
(5) respectively recording the maximum value and the minimum value of v (t) and the maximum value and the minimum value of a (t) in the execution process of the step (3) and the step (4), and respectively marking the maximum value and the minimum value as maxv、minv、maxa、mina；
(6) Normalizing v (t) and a (t) in the steps (3) and (4) to obtain corresponding normalized values v*(t)，a*(t), specifically:
if v (t) maxvThen, then
Figure BDA0002330975690000021
If v (t) ≠ maxvThen execute
Figure BDA0002330975690000022
If a (t) maxaThen, then
Figure BDA0002330975690000023
If a (t) ≠ maxaThen execute
Figure BDA0002330975690000024
In the formula (I), the compound is shown in the specification,
Figure BDA0002330975690000025
and
Figure BDA0002330975690000026
represents v in the previous calculation*(t) and a*(t), and the initial value is 0;
(7) current sampling frequency f*Adjusting:
calculating the next current sampling frequency f according to the following formula*
Figure BDA0002330975690000031
(8) Presetting a stopping condition, repeating the steps (2) to (7) until the stopping condition is reached, and stopping data acquisition.
Preferably, the method comprises the following steps: the step (5) is specifically as follows: initially maxv、minv、maxa、minaThe values are both 0, and in the execution process of the step (3) and the step (4):
if v (t) > maxvThen maxvV (t); otherwise max is not performedv＝v(t)；
If v (t) < minvThen minvV (t); otherwise not execute minv＝v(t)；
If a (t) > maxaThen maxaA (t); otherwise max is not performeda＝a(t)；
If a (t) < minaThen minaA (t); otherwise not execute mina＝a(t)。
The method comprises the steps of sampling signals, continuously sampling 3 points, calculating the absolute value of the change speed of the current data and the absolute value of the change acceleration of the current data, recording an extreme value, carrying out data normalization processing according to the absolute value of the change speed of the current data, the absolute value of the change acceleration of the current data and the extreme value, and calculating a frequency value by using the value of the normalization processing to serve as the current sampling frequency of the next sampling, thereby achieving the purpose of adjustment.
Compared with the prior art, the invention has the advantages that:
(1) a data acquisition method for self-adjusting sampling frequency is provided, and a mapping relation between the self change condition of data and the future sampling frequency of the data is established.
(2) The monitoring equipment using the method of the invention only needs to give a normal sampling frequency, and the monitoring equipment can realize the self-adjustment of the sampling frequency in the whole monitoring process by the method of the invention.
(3) The method avoids low-frequency data fidelity difference caused by fixed threshold value sampling and low cruising ability reduction caused by equipment power consumption increase caused by high frequency.
(4) The method for triggering the multi-level sampling frequency by the same multi-level threshold avoids the problems of low operability, insufficient reliability of sampling data and incapability of reducing the power consumption of monitoring equipment to the maximum extent caused by setting the trigger threshold and the sampling frequency by manual experience.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a diagram of a sampling result of the self-adjusting sampling frequency of the present invention;
FIG. 3 is a graph showing sampling results obtained in example 2 in which sampling is performed every half hour;
FIG. 4 is a diagram showing the sampling result of self-adjusting the sampling frequency according to the method of the present invention in example 2;
fig. 5 is a graph of frequency adjustments obtained from a computer simulated sampling of the data of fig. 3 in accordance with the present invention.
Detailed Description
The invention will be further explained with reference to the drawings.
Example 1: referring to fig. 1 and 2, a data acquisition method for self-adjusting sampling frequency includes the following steps:
(1) setting a signal to be sampled as x (t), an initial sampling frequency as f, and a current sampling frequency f*F, t is the sampling time;
(2) at a frequency f*Sampling x (t) to obtain sampling data values, and recording sampling data values s (t-2), s (t-1) and s (t) of three continuous points;
(3) calculating absolute data change speed quantities v (t) | s (t-1) | v (t-1) | s (t-1) -s (t-2) | at time t and time t-1;
(4) calculating the absolute acceleration change amount a (t) ═ v (t) — v (t-1) | of the current data;
(5) respectively recording the maximum value and the minimum value of v (t) and the maximum value and the minimum value of a (t) in the execution process of the step (3) and the step (4), and respectively marking the maximum value and the minimum value as maxv、minv、maxa、mina；
(6) Normalizing v (t) and a (t) in the steps (3) and (4) to obtain corresponding normalized values v*(t)，a*(t), specifically:
if v (t) maxvThen, then
Figure BDA0002330975690000051
If v (t) ≠ maxvThen execute
Figure BDA0002330975690000052
If a (t) maxaThen, then
Figure BDA0002330975690000053
If a (t) ≠ maxaThen execute
Figure BDA0002330975690000054
In the formula (I), the compound is shown in the specification,
Figure BDA0002330975690000055
and
Figure BDA0002330975690000056
represents v in the previous calculation*(t) and a*(t), and the initial value is 0;
(7) current sampling frequency f*Adjusting:
calculating the next current sampling frequency f according to the following formula*
Figure BDA0002330975690000057
(8) Presetting a stopping condition, repeating the steps (2) to (7) until the stopping condition is reached, and stopping data acquisition.
In this embodiment, the step (5) specifically includes: initially maxv、minv、maxa、minaThe values are both 0, and in the execution process of the step (3) and the step (4):
if v (t) > maxvThen maxvV (t); otherwise max is not performedv＝v(t)；
If v (t) < minvThen minvV (t); otherwise not execute minv＝v(t)；
If a (t) > maxaThen maxaA (t); otherwise max is not performeda＝a(t)；
If a (t) < minaThen minaA (t); otherwise not execute mina＝a(t)。
Fig. 2 is a diagram of the sampling effect of the self-adjusting sampling frequency of the present invention, and in fig. 2, the upper curve is a sampled signal x (t) on which a plurality of discrete points are distributed, i.e., sampling points obtained by adjusting the sampling frequency of the present invention. It is obvious from the figure that the method of the invention has better self-adjusting capability for the sampling frequency of the data averaging and acceleration processes.
Example 2: referring to fig. 3 to 5, we performed analysis using the displacement monitoring data of the landslide in xingzyi longjing village in 2 nd month of the Guizhou province in 2019. The sampling graph shown in fig. 3 is a sampling result obtained by performing data acquisition every half hour with a fixed sampling frequency, and it is obvious from fig. 3 that the smoothness of the sampled data is poor and more local detail information is missing. Fig. 4 is a monitoring curve graph after the method of the present invention is used, and it can be found from the graph that the degree of reduction of the dotted line fitting after the method of the present invention is used is high, the local details are clear, and the method is obviously helpful for the later data analysis. Fig. 5 is a graph of frequency adjustment obtained by computer simulation sampling of the data in fig. 3 according to the present invention, and it can be seen from the graph that the sampling frequency is adjusted in real time in the process of fracture change.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (2)

1. A data acquisition method for self-adjusting sampling frequency is characterized in that: the method comprises the following steps:
(1) setting a signal to be sampled as x (t), an initial sampling frequency as f, and a current sampling frequency f*F, t is the sampling time;
(2) at a frequency f*Sampling x (t) to obtain sampling data values, and recording sampling data values s (t-2), s (t-1) and s (t) of three continuous points;
(3) calculating absolute data change speed quantities v (t) | s (t-1) | v (t-1) | s (t-1) -s (t-2) | at time t and time t-1;
(4) calculating the absolute acceleration change amount a (t) ═ v (t) — v (t-1) | of the current data;
(5) respectively recording the maximum value and the minimum value of v (t) and the maximum value and the minimum value of a (t) in the execution process of the step (3) and the step (4), and respectively marking the maximum value and the minimum value as maxv、minv、maxa、mina；
(6) Normalizing v (t) and a (t) in the steps (3) and (4) to obtain corresponding normalized values v*(t)，a*(t), specifically:
if v (t) maxvThen, then
Figure FDA0002330975680000011
If v (t) ≠ maxvThen execute
Figure FDA0002330975680000012
If a (t) maxaThen, then
Figure FDA0002330975680000013
If a (t) ≠ maxaThen execute
Figure FDA0002330975680000014
In the formula (I), the compound is shown in the specification,
Figure FDA0002330975680000015
and
Figure FDA0002330975680000016
represents v in the previous calculation*(t) and a*(t), and the initial value is 0;
(7) current sampling frequency f*Adjusting:
calculating the next current sampling frequency f according to the following formula*
Figure FDA0002330975680000017
(8) Presetting a stopping condition, repeating the steps (2) to (7) until the stopping condition is reached, and stopping data acquisition.
2. The method of claim 1, further comprising the step of: the step (5) is specifically as follows: initially maxv、minv、maxa、minaThe values are both 0, and in the execution process of the step (3) and the step (4):
if v (t) > maxvThen maxvV (t); otherwise max is not performedv＝v(t)；
If v (t) < minvThen minvV (t); otherwise not execute minv＝v(t)；
If a (t) > maxaThen maxaA (t); otherwise max is not performeda＝a(t)；
If a (t) < minaThen minaA (t); otherwise not execute mina＝a(t)。
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