CN111751037B - Electric measurement explosion test data compression method - Google Patents
Electric measurement explosion test data compression method Download PDFInfo
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- CN111751037B CN111751037B CN202010422403.0A CN202010422403A CN111751037B CN 111751037 B CN111751037 B CN 111751037B CN 202010422403 A CN202010422403 A CN 202010422403A CN 111751037 B CN111751037 B CN 111751037B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/14—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring the force of explosions; for measuring the energy of projectiles
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Abstract
The invention relates to an electric measurement explosion test data compression method, and belongs to the technical field of protection engineering. The test data compression method comprises the following steps: step 1, representing tested test data by using a time sequence; step 2, converting the one-dimensional array of the time sequence into a two-dimensional array; step 3, obtaining the maximum value and the minimum value of the time sequence; step 4, setting an allowable error including the final precision of the control compression; step 5, judging whether the distance between each sampling point and the adjacent sampling point is smaller than a threshold value or not, and if so, discarding the sampling point; and 6, storing the residual sampling points into a new two-dimensional value, namely finishing the data compression process. According to the method, the compression percentage of the original data and the compressed data can reach 4%, and the efficiency is extremely high; the testing precision of the original data is maintained, and repeated or useless parts are discarded in the compression; the method can be embedded into various data acquisition software systems, and the algorithm is brief and easy to realize.
Description
Technical Field
The invention relates to an electric measurement explosion test data compression method, and belongs to the technical field of protection engineering.
Background
The explosion wave generally has short action time and high peak value, the time resolution of the required electric measuring instrument is high, along with the development of electronic technology, the time interval of sampling points of the instrument is smaller and smaller, the requirement of test precision is met, meanwhile, the inevitably brought test data is huge, one acquisition curve has the stored data volume of tens of megabytes or even hundreds of megabytes, the test acquisition curve of one shot number generally has dozens of data, the storage scale of the test acquisition curve is up to dozens of gigabytes, although the computer technology and the storage technology are well developed at present, the huge data still brings a series of difficulties for subsequent data processing and the like, a certain technology must be adopted, and the compression is carried out on the premise of keeping the curve precision.
The explosion waveform is characterized by short action time and pulse type action, and the curve changes very slowly or does not change before the explosion wave arrives or after the explosion wave acts, which is obviously different from loads such as earthquake and the like. Aiming at the characteristic, the inventor provides a novel compression method for data of an electrical explosion test.
Disclosure of Invention
The invention aims to solve the problems that a series of difficulties are brought to subsequent data processing by super-huge explosion measurement data quantity, and the compression cannot be carried out on the premise of keeping curve precision, and provides an electric measurement explosion test data compression method which adopts detection by measuring points and comparison with the measuring points in front and at the back, if no change or change is only minimal disturbance caused by the environment but not caused by explosion waves, the measuring points are abandoned, and finally new test data is formed; because only the repeated data is discarded, the precision of the original test data is basically maintained.
The compression method of the electrical explosion test data comprises the following steps:
step 1, representing tested test data by using a time sequence, and particularly representing the time sequence by using a one-dimensional array;
P=(p1,p2,p3,…,pn) (1)
wherein, P is a time sequence, the number of sampling points is n, PiAt a time tiA test value of (d);
step 2, converting the one-dimensional array of the time sequence in the step 1 into a two-dimensional array;
P(p,t)=[(p1,t1),(p2,t2),……,(pn,tn)] (2)
wherein p isnAt a time tnValue tested, (p)i,ti) I.e. the ith sample point;
step 3, obtaining the maximum value and the minimum value of the time sequence in the step 1;
Pmaxand PminMaximum and minimum values of the time series, respectively;
step 4, setting an allowable error including the final precision of the control compression;
ε=δ·|Pmax-Pmin| (4)
wherein, the tolerance error is marked as epsilon; delta is a given small value, e.g. 10-6The value controlling the maximum of compressionFinal precision;
step 5, setting j from 2 to n-1, and judging whether all sampling points meet | pj-pj-1< ε, and | pj-pj+1If | < epsilon, abandoning the sampling point P if satisfiedj;
And 6, storing the residual sampling points into a new two-dimensional value, namely finishing the data compression process.
Advantageous effects
The invention provides an electric measurement explosion test data compression method, which has the following beneficial effects compared with the existing compression method:
1. the method completely provides a new compression technology of the data of the electrical measurement explosion test from principle and algorithm to application; from the specific example data, the compression percentage of the original data and the compressed data can reach 4%, and the efficiency is extremely high;
2. the method maintains the testing precision of the original data, and the discarded parts in the compression are repeated or useless parts;
3. the method can be embedded into various data acquisition software systems, has brief introduction of the algorithm and is easy to realize.
Drawings
FIG. 1 is a schematic illustration of a method of electrically measuring detonation test data compression in accordance with the present invention;
FIG. 2 is a schematic illustration of an exemplary detonation wave shape for an electrical test detonation test data compression method of the present invention;
FIG. 3 is a data graph of observation point 10 waveform of the electrical measurement explosion test data compression method, output by B-spline smoothing processing.
Detailed Description
The compression method of the electrical explosion test data is explained in detail below with reference to specific embodiments and the accompanying drawings.
Example 1
In the specific implementation of step 1, taking pressure as an example:
P=(p1,p2,p3,…,pn) (5)
wherein, P is a pressure time sequence, the number of sampling points is n, PiAt a time tiThe test pressure of (a);
FIG. 2 is a schematic diagram of a typical blast wave shape of an electrical test blast test data compression method of the present invention.
For a certain shot explosion test, 20 effective explosion waveforms are obtained, the data volume before and after compression is shown in the following table 1, and most of data are compressed to 4% of original data from the table 1. But the waveform accuracy is substantially consistent with the raw data.
TABLE 1 comparison of data volumes before and after compression
FIG. 3 is a waveform of test point 10 (output with B-spline smoothing).
The explosion waveform comprises an air shock wave, an explosion stress wave, an acceleration curve, a curve and other time curve curves. Can be embedded into various data acquisition software systems.
The above-mentioned embodiments are only preferred embodiments of the present invention, and are not intended to limit the embodiments of the present invention, and those skilled in the art can easily make various changes and modifications according to the main concept and spirit of the present invention, so the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (4)
1. An electric measurement explosion test data compression method is characterized in that: the method comprises the following steps:
step 1, representing tested experimental data by a time sequence,
wherein the number of sampling points is n;
step 2, converting the one-dimensional array of the time sequence in the step 1 into a two-dimensional array;
step 3, obtaining the maximum value and the minimum value of the time sequence in the step 1;
step 4, setting an allowable error including the final precision of the control compression;
ε=δ·|Pmax-Pmin| (1)
wherein, the tolerance error is marked as epsilon; δ is a given small value that controls the final precision of the compression;
step 5, setting j from 2 to n-1, and judging whether all sampling points meet | pj-pj-1< ε, and | pj-pj+1If | < epsilon, abandoning the sampling point P if satisfiedj;
And 6, storing the residual sampling points into a new two-dimensional value, namely finishing the data compression process.
2. The method for compressing data of an electrical test explosion test according to claim 1, wherein the method comprises the following steps: step 1 is expressed by adopting a one-dimensional array:
P=(p1,p2,p3,…,pn) (2)
wherein, P is a time sequence, the number of sampling points is n, PiAt a time tiThe test value of (1).
3. The method for compressing data of an electrical test explosion test according to claim 1, wherein the method comprises the following steps: the two-dimensional array converted in the step 2 is as follows:
P(p,t)=[(p1,t1),(p2,t2),……,(pn,tn)] (3)
wherein p isnAt a time tnValue tested, (p)i,ti) I.e. the ith sample point.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH09179589A (en) * | 1995-12-25 | 1997-07-11 | Seiko Epson Corp | Voice synthesizing method in voiceless sound and its device |
CN1461466A (en) * | 2001-04-16 | 2003-12-10 | 酒井康江 | Compression method and apparatus, decompression method and apparatus, compression/decompression system, peak detection method, program and recording medium |
CN1510423A (en) * | 2002-12-20 | 2004-07-07 | 谌德荣 | Remote control impact data compression method and system for it |
CN103795421A (en) * | 2014-02-26 | 2014-05-14 | 活点信息技术有限公司 | Method for data compression and decompression i |
CN104318064A (en) * | 2014-09-26 | 2015-01-28 | 大连理工大学 | Three-dimensional head-related impulse response data compressing method based on canonical multi-decomposition |
CN110113033A (en) * | 2019-04-08 | 2019-08-09 | 长春理工大学光电信息学院 | Pulse data compression sampling method |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6018755A (en) * | 1996-11-14 | 2000-01-25 | Altocom, Inc. | Efficient implementation of an FIR filter on a general purpose processor |
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Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH09179589A (en) * | 1995-12-25 | 1997-07-11 | Seiko Epson Corp | Voice synthesizing method in voiceless sound and its device |
CN1461466A (en) * | 2001-04-16 | 2003-12-10 | 酒井康江 | Compression method and apparatus, decompression method and apparatus, compression/decompression system, peak detection method, program and recording medium |
CN1510423A (en) * | 2002-12-20 | 2004-07-07 | 谌德荣 | Remote control impact data compression method and system for it |
CN103795421A (en) * | 2014-02-26 | 2014-05-14 | 活点信息技术有限公司 | Method for data compression and decompression i |
CN104318064A (en) * | 2014-09-26 | 2015-01-28 | 大连理工大学 | Three-dimensional head-related impulse response data compressing method based on canonical multi-decomposition |
CN110113033A (en) * | 2019-04-08 | 2019-08-09 | 长春理工大学光电信息学院 | Pulse data compression sampling method |
Non-Patent Citations (2)
Title |
---|
基于抽点存储的空布水雷入水冲击测试技术研究;靳鸿 等;《振动与冲击》;20091231;第28卷(第4期);194-197 * |
***空气冲击波标准参数比较分析;邓国强;《防护工程》;20190831;第41卷(第4期);26-33 * |
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