CN106840322A - A kind of method of the online soft alignment of measurement instrument and the device for realizing the method - Google Patents
A kind of method of the online soft alignment of measurement instrument and the device for realizing the method Download PDFInfo
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- CN106840322A CN106840322A CN201611189301.9A CN201611189301A CN106840322A CN 106840322 A CN106840322 A CN 106840322A CN 201611189301 A CN201611189301 A CN 201611189301A CN 106840322 A CN106840322 A CN 106840322A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F25/00—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume
- G01F25/10—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume of flowmeters
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K15/00—Testing or calibrating of thermometers
- G01K15/005—Calibration
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L25/00—Testing or calibrating of apparatus for measuring force, torque, work, mechanical power, or mechanical efficiency
Abstract
Have online soft alignment method the present invention relates to a kind of sensing meter of the invention and realize the device of the method, method includes raw data acquisition, the average value of acquisition original sample overall average and original sample standard deviation, acquisition mean chart and Standard Deviation Charts, detection data collection, obtains detection sample mean and detect sample standard deviation, detection data described point, result judgement and export seven steps.The inventive method utilizes control figure monitoring and metering utensil, including control figure generation phase and control figure detection-phase, and the method can carry out accurate detection to the degree of accuracy of measurement instrument in work, so as to ensure production line continuous and steady operation.Apparatus structure of the invention is simple, and it is convenient to realize, it is easy to manipulate.
Description
Technical field
Has online soft alignment the present invention relates to a kind of measurement instrument degree of accuracy detection field, especially a kind of sensing meter
Method and the device for realizing the method.
Background technology
The whether accurate of measurement instrument is directly connected to enterprise product quality and production safety, because measurement instrument misalignment is made
Into quality and security incident it is of common occurrence, so each enterprise weighs very much to the measurement instrument that is controlled for production process
Depending on all these measurement instruments can be sent into shutting mechanism on schedule carries out magnitude tracing, to ensure it accurately and reliably.
Measurement instrument is traced to the source and typically all examined and determine measurement instrument or calibrated two kinds by professional metering validation activity
Mode realizes that, according to the requirement of technical regulation, the cycle of tracing to the source is usually no more than 1 year.However, actual conditions but it is difficult to ensure that
Measurement instrument is traced to the source once on schedule every year, especially in the enterprise of some processes production such as chemical field, because in process life
In the enterprise of product, equipment on production line runs to maintenance down from starting shooting, typically will by 3~5 years even longer time,
During equipment is run, the measurement instrument installed on devices cannot be removed, and also just cannot on schedule carry out magnitude tracing,
In the continuous production period of enterprise, whether accurately and reliably measurement instrument in work how is judged, the technology as puzzlement enterprise is difficult
Topic.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of sensing meter and has online soft alignment method, and the method can be right
The degree of accuracy of measurement instrument carries out accurate detection in work, to ensure production line continuous and steady operation；Meanwhile, the present invention is also provided
A kind of device for realizing the method, apparatus structure is simple, and it is convenient to realize, it is easy to manipulate.
In order to solve the above technical problems, sensing meter of the invention has online soft alignment method comprising the following steps：
(1) raw data acquisition, the output data to the measurement instrument in normal work is acquired, between being with time T
Every, N group raw sample datas are drawn, every group of raw sample data includes M data dot values, and M, N are positive integer；
(2) obtain the average value of original sample overall average and original sample standard deviation, first calculate respectively each group it is original
The average value of sample dataWith raw sample data standard deviation S, original sample overall average is calculated again afterwardsAnd original
The average value of beginning sample standard deviation
(3) mean chart and Standard Deviation Charts are obtained, with original sample overall averageFor average center line, with
The value that formula 1 drawsAs the mean control upper limit, the value drawn with formula 2Draw equal as mean control lower limit
Value control figure, with the average value of original sample standard deviationAs standard deviation center line, the value UCL drawn with formula 3sAs mark
Quasi- difference upper control limit, the value LCL drawn with formula 4sStandard Deviation Charts are drawn as standard deviation lower control limit；
(4) detection data collection, the output data to the measurement instrument in work is acquired, and chooses U time period,
V detection data of collection in each time period, obtains U group detection datas, and U, V are positive integer；
(5) detection sample mean and detection sample standard deviation are obtained, every group in U group detection datas of V detection is calculated
The average and standard deviation of data, obtain U detection sample average and U detection sample standard deviation；
(6) detection data described point, the mean chart obtained using step (3) and Standard Deviation Charts, will used as standard
The U detection data average and U detection data standard deviation that step (5) is obtained obtain U after described point in two control figures respectively
Average test point and U standard deviation test point；
(7) result judgement and output, in control figure, foundation sentences steady criterion or according to identifying indices to step 6) in
U test point is judged, when result of determination is for exception then by warning device output alarm signal.
Wherein, the formula 1 is：The formula 2 is：
The formula 3 is：The formula 4 is：
Heretofore described measurement instrument be chemical field process production in commonly use flowmeter, pressure sensor or
Temperature sensor etc..
In step (7), precision and stability requirement according to measurement instrument to be detected can be different using two kinds
Standard judged, wherein, steady criterion is sentenced to require relevantly lenient standard, the standard is applied to the precision to measurement instrument
The occasion not high with stability requirement, identifying indices are the relatively harsh standard of requirement, and the standard is applied to measurement instrument
Precision and stability requirement occasion high.
Sentencing steady criterion is：Data area between lower control limit and upper control limit is used as control limit in setting control figure,
When U≤25, all of test point each falls within control limit；As 25 ＜ U ＜ 100, at most one test point falls on control circle
Limit is outer；When U >=100, at most 2 test points fall outside control limit, and then result of determination is stabilization to meet above-mentioned condition, otherwise
Result of determination is abnormal.
Identifying indices are：In control figure, the data area between upper control limit and center line is divided into three areas and is somebody's turn to do
Three areas are followed successively by C areas, B areas and A areas according to the order away from center line from the close-by examples to those far off, likewise, by lower control limit and center line
Between data area be divided into three areas and three areas according to the order away from center line from the close-by examples to those far off be followed successively by C areas, B areas and
A areas；Wherein, 1 point falls beyond A areas；Continuous 9 points fall in center line the same side；Continuous 6 increasing or decreasings；Continuously
All consecutive points in 14 points are always alternately upper and lower；Have fall beyond the B areas of center line the same side in continuous 3 points at 2 points；Continuous 5
Have fall beyond the C areas of center line the same side in individual point at 4 points；Continuous 15 points fall in the C areas of center line both sides；Continuous 8 points fall
Center line both sides and none in C areas, then result of determination is abnormal to meet any above-mentioned condition.
Apparatus of the present invention are structurally characterized in that including signal gathering unit, central processing system, control figure unit, compare and sentence
Disconnected unit and result output unit, wherein：
Signal gathering unit, the output data of its collection measurement instrument simultaneously transfers data to central processing system, exports
Data include raw sample data and detection data；
Central processing system, it include for collect raw sample data raw sample data grouped element, for receiving
Collect detection data detection data grouped element, based on the original sample overall average for calculating raw sample data overall average
Calculate unit, the original sample stdev average computing unit for calculating original sample stdev average, controlled for calculating
The control figure bound computing unit of bound of charting, the detection sample mean calculating for calculating detection sample mean are single
Unit, the detection sample standard deviation computing unit for calculating detection sample standard deviation；
Control figure unit, its output result, original sample standard for receiving original sample stdev average computing unit
The output result of difference average calculation unit and the output result of control figure bound computing unit generate mean control respectively
Figure and Standard Deviation Charts；
Unit is compared to determine, it is according to the output result and detection sample standard deviation meter for detecting sample mean computing unit
Calculate the output result described point situation respectively on mean chart and Standard Deviation Charts of unit, and according to sentencing steady criterion and sentence
Different criterion draws result of determination, then result is transferred into result output unit；
As a result output unit, it receives result of determination and simultaneously sends alarm signal by warning device.Wherein, the alarm dress
It is set to sound and/or light alarm device.
Signal processing unit, signal processing unit bag are also associated between the signal gathering unit and central processing system
Include filtration module and A/D modular converters.
The method of the present invention is in two stages：Control figure generation phase and control figure monitor stages.Wherein, control figure generation
Stage prepares for monitor stages, in the case of ensuring that each Working Environments are normal, collects initial data, does analysis control
Whether drawing, analyze the process in stable state, if place by analysis control figure, the center line of control figure and control limit
Analysis control figure can be converted into control control figure in stable state；If being in runaway condition, reason should be searched simultaneously
Eliminate in time, center line and control limit are recalculated, until analysis process reaches state in cont rol.Control figure monitor stages
It is that the detection data of measurement instrument is continuously monitored with control figure by control, realizes the company to measurement instrument metering performance
Continuous monitoring, during monitoring, extracts detection data, statistical computation and the described point in control figure, and the measurement instrument is judged with this
Metering performance whether be in normal condition.Wherein, for the judgement of described point, can according to require relative loose sentence steady criterion or
According to relatively harsh identifying indices are required, result of determination is that when stablizing, then can determine whether out the stable performance of the measurement instrument to person；
If it is determined that when result is for exception, through analysis, if caused the reason for production process should exclude in time, if not in production process
Reason causes, and can determine whether out measurement instrument misalignment, and the data no longer shown by the measurement instrument in production are defined, while may be used also
Measurement instrument is replaced or is repaired.
Device of the invention obtains raw sample data and detection data by signal gathering unit, for original sample number
According to using original sample overall average computing unit calculating original sample overall average, using the average of original sample standard deviation
Value computing unit calculates the average value of original sample standard deviation, and mean control is calculated respectively using control figure bound computing unit
It is offline in figure bound and Standard Deviation Charts, recycle control module to draw mean chart and standard deviation control afterwards
Figure.For detection data, using detecting that sample mean computing unit calculates detection sample mean, using detecting sample canonical
Difference computing unit calculates detection sample standard deviation, will detect sample mean and detection sample standard deviation respectively in average control afterwards
Drawing and Standard Deviation Charts on described point, then using compare to determine unit judge detection data whether meet determination of stability mark
Standard, is finally exported result of determination by sound and/or light alarm.
It can be seen that, the present invention realizes the on-line checking of measurement instrument, for the accurate sex determination of measurement instrument provides reliability
Foundation, has ensured production line continuous and steady operation.
Brief description of the drawings
The present invention is described in further detail with reference to the accompanying drawings and detailed description：
Fig. 1 is the schematic flow sheet of the inventive method；
Fig. 2 is the structural schematic block diagram of apparatus of the present invention；
Fig. 3 is the subregion schematic diagram of identifying indices in the inventive method；
Fig. 4 is to make when the inventive method is applied in flowmeter on-line checking embodimentControl figure；
Fig. 5 is applied to the plot of detection data that is obtained in flowmeter on-line checking embodiment for the inventive method.
Specific embodiment
Referring to the drawings, sensing meter of the invention has online soft alignment method and includes raw data acquisition, obtains original
The average value of sample overall average and original sample standard deviation, obtain mean chart and Standard Deviation Charts, detection data are adopted
Collection, acquisition detect sample mean and detection sample standard deviation, detection data described point, result judgement and output totally seven steps.
It is specifically described below.
(1) raw data acquisition, the output data to the measurement instrument in normal work is acquired, between being with time T
Every, N group raw sample datas are drawn, every group of raw sample data includes M data dot values, and M, N are positive integer, metering therein
Utensil is flowmeter, pressure sensor or temperature sensor, refers to ensure Working Environments stabilization in so-called normal work,
The metastable situation of reading of measurement instrument.
(2) obtain the average value of original sample overall average and original sample standard deviation, first calculate respectively each group it is original
The average value of sample dataWith raw sample data standard deviation S, original sample overall average is calculated again afterwardsAnd original
The average value of beginning sample standard deviation
(3) mean chart and Standard Deviation Charts are obtained, with original sample overall averageFor average center line, with
The value that formula 1 drawsAs the mean control upper limit, the value drawn with formula 2Draw equal as mean control lower limit
Value control figure, with the average value of original sample standard deviationAs standard deviation center line, the value UCL drawn with formula 3sAs mark
Quasi- difference upper control limit, the value LCL drawn with formula 4sStandard Deviation Charts are drawn as standard deviation lower control limit.
Wherein, formula 1 is：Formula 2 is：Formula 3 is：
Formula 4 is：
A3, B3, B4 are control limit coefficient in above-mentioned formula, and specific value is referring to GB/T 4091-2001《Shewhart control chart
National standard》In《Calculate the coefficient table that control figure calculates control line》.
(4) detection data collection, the output data to the measurement instrument in work is acquired, and chooses U time period,
V detection data of collection in each time period, obtains U group detection datas, and U, V are positive integer.
(5) detection sample mean and detection sample standard deviation are obtained, every group in U group detection datas of V detection is calculated
The average and standard deviation of data, obtain U detection sample average and U detection sample standard deviation.
(6) detection data described point, the mean chart obtained using step (3) and Standard Deviation Charts, will used as standard
The U detection data average and U detection data standard deviation that step (4) is obtained obtain U after described point in two control figures respectively
Average test point and U standard deviation test point；
(7) result judgement and output, in control figure, foundation sentences steady criterion or according to identifying indices in step (6)
U test point judged, when result of determination for it is abnormal when then pass through warning device output alarm signal.
In step (7), precision and stability requirement according to measurement instrument to be detected can be different using two kinds
Standard judged, wherein, steady criterion is sentenced to require relevantly lenient standard, the standard is applied to the precision to measurement instrument
The occasion not high with stability requirement, identifying indices are the relatively harsh standard of requirement, and the standard is applied to measurement instrument
Precision and stability requirement occasion high.
Sentencing steady criterion is：Data area between lower control limit and upper control limit is used as control limit in setting control figure,
When U≤25, all of test point each falls within control limit；As 25 ＜ U ＜ 100, at most one test point falls on control circle
Limit is outer；When U >=100, at most two test points fall outside control limit, and then result of determination is stabilization to meet above-mentioned condition, no
Then result of determination is abnormal.
Identifying indices are：In control figure, the data area between upper control limit and center line is divided into three areas and is somebody's turn to do
Three areas are followed successively by C areas, B areas and A areas according to the order away from center line from the close-by examples to those far off, likewise, by lower control limit and center line
Between data area be divided into three areas and three areas according to the order away from center line from the close-by examples to those far off be followed successively by C areas, B areas and
A areas；Wherein, 1 point falls beyond A areas；Continuous 9 points fall in center line the same side；Continuous 6 increasing or decreasings；Continuously
All consecutive points in 14 points are always alternately upper and lower；Have fall beyond the B areas of center line the same side in continuous 3 points at 2 points；Continuous 5
Have fall beyond the C areas of center line the same side in individual point at 4 points；Continuous 15 points fall in the C areas of center line both sides；Continuous 8 points fall
Center line both sides and none in C areas, then result of determination is abnormal to meet any above-mentioned condition.The specific subregion of identifying indices
Figure is as shown in Figure 3.
From the foregoing, the method for the present invention mainly includes two ranks of control figure generation phase and control figure monitor stages
Section.
Control figure generation phase is prepared for monitor stages, in the case of ensuring that each Working Environments are normal, is collected
Initial data, does analysis control figure, and analyzing the process by analysis control figure, the center line of control figure and control limit is
It is no in stable state, if analysis control figure can be converted into control control figure in stable state；If in out of control
State, then should search reason and eliminate in time, recalculate center line and control limit, until analysis process reaches Statisti-cal control
State.If institute illustrates that can be converted into control control figure in stable state uses, if having one a little all in control line
Individual point or two points are limited beyond control, then after eliminating exceptional data point, recalculate center line and control is limited, and judge institute a little all
In control limit, then analysis control figure can be converted into control control figure；If three or more points are limited beyond control, should
Eliminate mutagen because, resurvey data, calculate center line and control limited, judge whether a little all in control limit, if all
Control can be then converted into and used with control figure.
Control figure monitor stages are that the detection data of measurement instrument is continuously monitored by control figure, are realized to metering
The continuous monitoring of utensil metering performance, during monitoring, extracts detection data, statistical computation and the described point in control figure, with this
Whether to judge the metering performance of the measurement instrument in normal condition, if described point can determine that the meter within control limit
Measuring device has stable performance；If there is abnormity point, through analysis, if caused the reason for production process should exclude in time, if not raw
The reason for during product, causes, and can determine that measurement instrument misalignment, and the data for no longer being shown by the measurement instrument are defined.If occurring
Abnormity point, through analysis, if caused the reason for production process should exclude in time, if not cause the reason in production process then may be used
Judge measurement instrument misalignment, the data for no longer being shown by the measurement instrument are defined.Wherein, the reason for abnormity point can from it is accidental because
Element and the aspect such as abnormal factorses and personnel, environment, equipment, method consider, it is that personnel, environment, method are caused to analyze determination
Exception or equipment the exception that causes of accuracy.If reasons such as personnel, environment, equipment is entered again after being eliminated
Row control, if the reason for measuring equipment, then it is contemplated that whether the instrument metering performance occurs in that exception.
Reference picture 2, the present invention realize on-line checking measurement instrument degree of accuracy method device include signal gathering unit 1,
Central processing system 2, control figure unit 3, comparison judgment unit 4 and result output unit 5.
The output data of the collection measurement instrument of signal gathering unit 1 simultaneously transfers data to central processing system 2, exports number
According to including raw sample data and detection data.Wherein, it is also associated with letter between signal gathering unit 1 and central processing system 2
Number processing unit 6, signal processing unit includes filtration module and A/D modular converters, certainly, according to actual conditions and class signal
Type, signal processing unit can be integrated in signal gathering unit, and signal processing unit may also include signal amplification circuit etc., separately
Outward, according to the size of interference signal, it is contemplated that first filter to amplify again or first amplify and filter again.
Central processing system 2 is included for collecting the raw sample data grouped element of raw sample data, for collecting
The detection data grouped element of detection data, the original sample overall average calculating for calculating raw sample data overall average
Unit, the original sample stdev average computing unit for calculating original sample stdev average, for calculating control
The control figure bound computing unit of figure bound, the detection sample mean calculating for calculating detection sample mean are single
Unit, the detection sample standard deviation computing unit for calculating detection sample standard deviation.Central processing system 2 can using single-chip microcomputer or
PC, its onboard clock module sends timing acquiring data message using clock module to signal gathering unit.
Control figure unit 3 receives output result, the original sample standard deviation of original sample stdev average computing unit
The output result of average calculation unit and the output result of control figure bound computing unit generate mean chart respectively
And Standard Deviation Charts.
Unit 4 is compared to determine to be calculated according to the output result and detection sample standard deviation of detection sample mean computing unit
The output result of unit described point situation respectively on mean chart and Standard Deviation Charts, and according to sentence steady criterion or according to
Result of determination is drawn according to identifying indices, then result is transferred to result output unit 5.For control figure unit 3, it is initially used for
Control figure is drawn, and is illustrated to staff with display screen or other display modes, in addition, it should also possess simple comparison counting
Calculate function.
As a result output unit 5 receives result of determination and sends alarm signal by warning device.Wherein, warning device is sound
And/or light alarm device.Warning device in accompanying drawing includes red light, green light and buzzer, when being judged to stablize, green light point
It is bright, when being judged to abnormal, when red and buzzer sends alarm sound.This case preferred embodiment is simplest acousto-optic report
Alarm device, for modes such as the settable blinking red lamp of light alarm or setting display screen display alarm words, for audible alarm,
Can be will not be repeated here using structures such as speaker configurations speech chips.
Multiple positive integers and time interval defined in the method for the present invention, according to production practices, typically with the annual moon
Number and number of days monthly are used as the sampling period.
Below as a example by the on-line checking experiment by certain crude benzol processing and refining enterprise to the flowmeter degree of accuracy, to side of the invention
Method is described in detail.
1) raw data acquisition：In January, 2014 gathers one group of data on flows daily, and totally 31 groups, every group of data are remembered respectively
Record from 0:00 point to 24:00 point of flow indicating value, then chooses 25 groups from 31 groups of data, every group of selection same time interval
10 data points (choosing N=25, M=10), data such as following table.
2) control figure is drawn
Calculate the average value of sample data and control limit (upper control limit, lower control limit) and the center of Standard Deviation Charts
Line.
The average value of grand mean of sample and standard deviation：
The control line of mean chart is：
The control line of Standard Deviation Charts is：
According to the sample data for extracting and the mean control upper limit (16.56), the mean control lower limit that calculate
(16.40), average center line (16.48), and standard deviation upper control limit (0.13), standard deviation lower control limit (0.02), standard deviation
Center line (0.07) draws current sample sample(mean-standard deviation) control figure, obtainsControl figure such as Fig. 4
It is shown.
3) sample collection is detected：10 points conduct from January, 2014 to December monthly in No. 1 fixed time period
Detection data (chooses U=12, V=10), data such as following table.
| January | 2 months | March | April | May | June | July | August | September | October | November | December | |
| 00:00 | 16.56 | 16.48 | 16.43 | 16.46 | 16.41 | 16.62 | 16.46 | 16.46 | 16.55 | 16.59 | 16.55 | 16.53 |
| 02:00 | 16.52 | 16.45 | 16.56 | 16.44 | 16.44 | 16.48 | 16.49 | 16.55 | 16.44 | 16.50 | 16.48 | 16.53 |
| 04:00 | 16.56 | 16.56 | 16.49 | 16.40 | 16.44 | 16.58 | 16.60 | 16.54 | 16.53 | 16.49 | 16.30 | 16.46 |
| 06:00 | 16.53 | 16.44 | 16.48 | 16.45 | 16.55 | 16.29 | 16.47 | 16.29 | 16.52 | 16.52 | 16.52 | 16.55 |
| 08:00 | 16.52 | 16.56 | 16.52 | 16.48 | 16.54 | 16.50 | 16.51 | 16.54 | 16.48 | 16.47 | 16.54 | 16.54 |
| 10:00 | 16.40 | 16.36 | 16.53 | 16.52 | 16.40 | 16.50 | 16.46 | 16.54 | 16.53 | 16.53 | 16.32 | 16.41 |
| 12:00 | 16.32 | 16.51 | 16.42 | 16.54 | 16.56 | 16.54 | 16.30 | 16.55 | 16.50 | 16.44 | 16.20 | 16.55 |
| 16:00 | 16.50 | 16.34 | 16.50 | 16.32 | 16.43 | 16.52 | 16.30 | 16.51 | 16.54 | 16.40 | 16.50 | 16.46 |
| 18:00 | 16.50 | 16.55 | 16.62 | 16.45 | 16.50 | 16.57 | 16.50 | 16.48 | 16.48 | 16.51 | 16.43 | 16.40 |
| 20:00 | 16.54 | 16.50 | 16.60 | 16.45 | 16.52 | 16.28 | 16.54 | 16.60 | 16.44 | 16.52 | 16.50 | 16.35 |
| Xbar | 16.5 | 16.48 | 16.52 | 16.45 | 16.48 | 16.49 | 16.46 | 16.51 | 16.5 | 16.5 | 16.43 | 16.48 |
| S | 0.08 | 0.08 | 0.07 | 0.06 | 0.06 | 0.12 | 0.1 | 0.09 | 0.04 | 0.05 | 0.12 | 0.07 |
4) detection data is calculated and described point：Detection data average and detection data standard deviation are calculated, and respectively in control figure
Middle described point, obtains Fig. 5.
5) result judgement：Can intuitively be found out by Fig. 4, according to sentencing steady criterion, in January, 2014 to December the instrument sample
In control range, satisfaction sentences steady criterion, and warning device is not alarmed, and illustrates the measurement instrument for data mean value and sample standard deviation
Performance be constantly in stable state.
It is more than using the embodiment that steady criterion is judged is sentenced, when needing to be judged using identifying indices, in control
In drawing, the data area between upper control limit and center line is divided into three areas, likewise, by lower control limit and center line
Between data area be divided into three areas, 6 areas are followed successively by A, B, C, C, B, A from the bottom to top, wherein, Liang Ge C areas near in
Heart line, away from center line, B areas are judged according to identifying indices again afterwards between A, C area, are no longer gone to live in the household of one's in-laws on getting married herein in Liang Ge A areas
State.
In sum, the invention is not restricted to above-mentioned specific embodiment.Those skilled in the art, it is of the invention not departing from
On the premise of spirit and scope, some changes and modification can be done.Protection scope of the present invention should be with claim of the invention
It is defined.
Claims (7)
1. the method for the online soft alignment of a kind of measurement instrument, it is characterized in that comprising the following steps：
(1) raw data acquisition
Output data to the measurement instrument in normal work is acquired, and is interval with time T, obtains N group original sample numbers
According to every group of raw sample data includes M data dot values, and M, N are positive integer；
(2) average value of raw sample data overall average and raw sample data standard deviation is calculated
The each group of average value of raw sample data is first calculated respectivelyWith raw sample data standard deviation S, calculate again afterwards
Original sample overall averageWith the average value of original sample standard deviation
(3) mean chart and Standard Deviation Charts are obtained
With original sample overall averageIt is average center line, the value drawn with formula 1As the mean control upper limit, with public affairs
The value that formula 2 drawsMean chart is drawn as mean control lower limit, with the average value of original sample standard deviationAs
Standard deviation center line, the value UCL drawn with formula 3sAs standard deviation upper control limit, the value LCL drawn with formula 4sAs standard
Difference lower control limit draws Standard Deviation Charts；
(4) detection data collection
Output data to the measurement instrument in work is acquired, and chooses V inspection of collection in U time period, each time period
Data are surveyed, U group detection datas are obtained, U, V are positive integer；
(5) detection sample mean and detection sample standard deviation are obtained
Every group of average and standard deviation of V detection data of detection data are calculated, U detection sample average and U detection is obtained
Sample standard deviation；
(6) detection data described point
The mean chart that is obtained using step (3) and Standard Deviation Charts are used as standard, the U detection that step (5) is obtained
Data mean value and U detection data standard deviation obtain U average test point and U standard deviation after described point in two control figures respectively
Test point；
(7) result judgement and output
In control figure, according to sentencing steady criterion or U test point in step (6) is judged according to identifying indices, when sentencing
Then pass through warning device output alarm signal when determining result for exception；
The formula 1 is：The formula 2 is：
The formula 3 is：The formula 4 is：A3、B3、B4It is control limit coefficient.
2. sensing meter as claimed in claim 1 has online soft alignment method, it is characterized in that the meter described in step (1)
Measuring device tool is flowmeter, pressure sensor or temperature sensor.
3. sensing meter as claimed in claim 1 has online soft alignment method, it is characterized in that sentencing steady standard in step (7)
It is then：Data area in control figure between lower control limit and upper control limit is control limit, when U≤25, all of detection
Point each falls within control limit；As 25 ＜ U ＜ 100, at most one test point falls outside control limit；When U >=100, at most 2
Individual test point falls outside control limit, and then result of determination is stabilization to meet above-mentioned condition, and otherwise result of determination is abnormal.
4. sensing meter as claimed in claim 1 has online soft alignment method, it is characterized in that sentencing different standard in step (7)
It is then：In control figure, the data area between upper control limit and center line is divided into three areas and three areas are according in
Heart line order from the close-by examples to those far off is followed successively by C areas, B areas and A areas, likewise, by the data area between lower control limit and center line
It is divided into three areas and three areas and is followed successively by C areas, B areas and A areas according to the order away from center line from the close-by examples to those far off；Wherein, 1 point
Fall beyond A areas；Continuous 9 points fall in center line the same side；Continuous 6 increasing or decreasings；All phases in continuous 14 points
Adjoint point is always alternately upper and lower；Have fall beyond the B areas of center line the same side in continuous 3 points at 2 points；Have fall at 4 points in continuous 5 points
Beyond the C areas of center line the same side；Continuous 15 points fall in the C areas of center line both sides；Continuous 8 points fall in center line both sides and nothing
One in C areas, and then result of determination is abnormal to meet any above-mentioned condition.
5. a kind of device for realizing claim 1 methods described, it is characterized in that including signal gathering unit, central processing system,
Control figure unit, comparison judgment unit and result output unit, wherein：
Signal gathering unit (1), the output data of its collection measurement instrument simultaneously transfers data to central processing system, exports number
According to including raw sample data and detection data；
Central processing system (2), it include for collect raw sample data raw sample data grouped element, for collecting
The detection data grouped element of detection data, the original sample overall average calculating for calculating raw sample data overall average
Unit, the original sample stdev average computing unit for calculating original sample stdev average, for calculating control
The control figure bound computing unit of figure bound, the detection sample mean calculating for calculating detection sample mean are single
Unit, the detection sample standard deviation computing unit for calculating detection sample standard deviation；
Control figure unit (3), its output result, original sample standard deviation for receiving original sample stdev average computing unit
The output result of average calculation unit and the output result of control figure bound computing unit generate mean chart respectively
And Standard Deviation Charts；
Unit (4) is compared to determine, it is according to the output result and detection sample standard deviation meter for detecting sample mean computing unit
Calculate the output result described point situation respectively on mean chart and Standard Deviation Charts of unit, and according to sentencing steady criterion and sentence
Different criterion draws result of determination, then result is transferred into result output unit；
As a result output unit (5), it receives result of determination and simultaneously sends alarm signal by warning device.
6. device as claimed in claim 5, it is characterized in that between the signal gathering unit (1) and central processing system (2)
Signal processing unit (6) is also associated with, signal processing unit (6) includes filtration module and A/D modular converters.
7. device as claimed in claim 5, it is characterized in that the warning device is sound and/or light alarm device.
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