CN108955837A - A kind of determination method and its application of mass flowmenter on-line system error - Google Patents
A kind of determination method and its application of mass flowmenter on-line system error Download PDFInfo
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- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
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Abstract
The present invention relates to a kind of determination method and its application of mass flowmenter on-line system error, using mass flowmenter apply in existing metered condition, based on Error Theory, it regard the metering of bank tank as comparison standard, the mathematical model compared, discovery and determining mass flowmenter on-line system error are established with probabilistic method.Compared with prior art, the present invention has the advantages that the mass flowmenter on-line system that the present invention develops misses method for determining difference, on the one hand, its used comparison standard bank tank metering is a standardized liquid product metering method, the mathematical model established is based on Error Theory and probabilistic method, simple and convenient；On the other hand, the on-line system error of mass flowmenter can be effectively determined by this method and as the modified foundation of discharge coefficient, achievees the purpose that on-line calibration, makes up the defect of the existing Calibration Technology of flowmeter.
Description
Technical field
The present invention relates to flow measurement field, refer specifically to a kind of mass flowmenter on-line system miss method for determining difference and its
Using.
Background technique
Liquid petroleum product shipment metering is a routine work of petrochemical iy produced, storage enterprise, due to its direct relation
To the economic interests of the related sides such as consignor, consignee and carrier, metering is exactly to count money, so establishing and keeping product shipment
Metering normal order guarantees metering fair and accurate for maintenance each side's just rights and interests and fosters a good and healthy company image with very heavy
The meaning wanted.
Liquid petroleum product shipment metering mainly has the modes such as mass flowmenter metering, the metering of bank tank and cabin metering, meter
Accuracy of measurement is calculated as highest, generally 0.001~0.002 with mass flow, and bank tank takes second place, and generally 0.003, cabin is minimum, and one
As be 0.005.Currently, the trade transaction of oil product mostly uses first two metering method, cabin metering is then used as referring to amount
It is more.
Wherein, the metering of bank tank is the conventional metered dose mode of liquid product, belongs to static weighing, measuring principle is scientific, i.e.,
Weight=volume × density, metering is theoretical and standard Maturation, measuring accuracy are still wide in trade transaction at present up to 0.003
General use.The error of bank tank metering is mainly derived from the measurement error of its liquid level, liquid temperature, density and tank appearance etc., these measured values
It is to be obtained by the measuring equipments such as oil dipstick, liquid-filled thermometer, densitometer, total station and utensil by survey crew's manual operations,
The management such as technical capability and overall qualities to metrological personnel is more demanding；In addition, being related to different devices in a large amount of measurement
Tool and personnel.These all applications of opposite bank tank metering in trade transaction cause a degree of limitation.
And mass flowmenter metering is not affected by human factors substantially, objectivity is strong, and metric results intuitive is good, easily each
Side receives, while few, high-efficient when meterage, so being the preferred metering method of product shipment.But mass flowmenter measures
Existing defects, though theoretical research and real data all show that mass flowmenter is qualified through measurement verification before installing and using,
It after actual installation, may be influenced that " null offset " occurs in use by external factors such as stress, medium and environment,
Metric results are caused systematic error occur, just because of the presence of this systematic error, so that mass flowmenter has precision
High but accuracy not necessarily high defect, thus its measure correctness unlike it is believed that it is so good, as long as and its work
To make condition and significant change does not occur, systematic error is just by continual and steady presence, since the error amount symbol of systematic error is constant,
Permanent previous, the cumulant of mass flowmenter metering is bigger, and deviation accumulation amount is also more, it is therefore apparent that mass flowmenter is potential
Economic loss risk it is very large.
The identification of above-mentioned mass flow meter systems error and the determining calibration scope for belonging to measuring equipment, because being online
It generates, so needing on-line calibration.Mass flowmenter is as a kind of legal measurement instrument, when it is used for trade transaction metering
When, must can come into operation through measurement verification qualification, but up to the present, still without a kind of pair of mass flowmenter carry out in-line calibration or
The technology and methods of calibration, currently used calibration method are that (for details, reference can be made to " in JJG 1038-2008 section for laboratory verification
Benefit mass flowmenter vertification regulation difficult to understand "): mass flowmenter is removed from process flow, is sent to calibration laboratory, is examined in standard
Determine to be examined and determine on device.Due in laboratory being standard conditions, dielectric material, medium temperature, caliber, flow, installation
There will be bigger difference in the case of stress and environmental condition (noise, vibration etc.) and actual use: on the one hand, mass flowmenter
It is mounted in water flow standard apparatus, the mount stress of mass flowmenter, the pipeline technique of front and back end, locating for whole device
External environment all differing widely in actual use with mass flowmenter；On the other hand, examining and determine medium used is water, temperature one
As at 20 degree or so, range of flow is relatively narrow, these also with have very big difference in actual use, and the variation of exactly these conditions is made
At the null offset and systematic error of mass flowmenter.So the device provides, as it were, the assay approval in laboratory is mass flowmenter
The necessary condition that can be used, rather than its adequate condition that can accurately measure in the actual environment, laboratory verification solution
Never mass flowmenter on-line system error the problem of, in other words, up to the present, those are with mass flowmenter, packet
Assay approval is included, it is just very qualified to be actually all not necessarily.Here it is the existing calibrating of mass flowmenter or collimation techniques
Defect.
Summary of the invention
First technical problem to be solved by this invention is the status for the prior art, is provided a kind of simple and effective
Mass flowmenter on-line system misses method for determining difference.
Second technical problem to be solved by this invention is to provide a kind of simple and effective mass flowmenter on-line system
The accidentally application of method for determining difference.
The present invention solves technical solution used by above-mentioned first technical problem are as follows: a kind of mass flowmenter on-line system
Accidentally method for determining difference, it is characterised in that: using existing metered condition in mass flowmenter application, managed based on measurement error
By by the metering of bank tank as comparison standard, the mathematical model compared with probabilistic method foundation finds and determine mass flow
Count on-line system error.
Preferably, above-mentioned mass flowmenter on-line system miss method for determining difference the following steps are included:
(1) liquid for measuring same metering batch respectively by flowmeter and bank tank, by each metering in certain time
Batch counts from date and is denoted as T1, the statistics Close Date is denoted as T2, and the total number of samples in the statistics phase is denoted as A, obtains as sample
The flowmeter of each sample-bank tank ratio R in the statistics phasei=MLi/MAi(i=1,2 ..., A)；
Wherein MLi、MAiThe flow measurement of each sample and bank tank amount (metric ton) respectively in the statistics phase；
(2) after rejecting abnormalities batch sample, sample is statistical sample, and aberrant batches number scale is c, and statistical sample number scale is n；
(3) counting statistics sample flowmeter-bank tank ratio R i average value
(4) number of samples in interval of acceptance is calculated, qualified sample number is denoted as m；
(5) average value of qualified sample flowmeter-bank tank ratio R i is calculatedQualification batch
Secondary rate Q=m/n*100% and standard deviation
(6) by T1, T2, A,Q, the value of S and c substitutes into following mathematical model expression formula: flowmeter-bank tank empirical coefficient
Further, A >=40 described in step (1).In general, the bigger statistical result of A is trueer, for balance efficiency and sample
This representativeness, usual A >=40.
Further, aberrant batches sample described in step (2) is Ri< 0.99 or RiThe sample of > 1.01.Ratio is greater than
1% batch, which is directly rejected, is not involved in statistics calculating, can be with Exception Filter data.
Further, interval of acceptance described in step (4) isBy ratio and flat in the sample for participating in calculating
Equal ratio differs by more than the 0.005 secondary rejecting of batch, can further super theoretical precision data of filter error, and as base
Plinth judgementThe confidence level of value.
The present invention solves technical solution used by above-mentioned second technical problem are as follows: a kind of mass flowmenter on-line system
The accidentally application of method for determining difference, it is characterised in that the following steps are included:
(1) method for determining difference is missed according to above-mentioned mass flowmenter on-line system and measures FEF；
(2) it is whether reliable that flowmeter-bank tank metering system is assessed according to Q, S and c in FEF parameter；
(3) if assessment result be it is unreliable, analyzed in conjunction with metered condition of the actual conditions to metering system, according to
It analyzes result and determines and unreliable reason occurs, exclude to re-execute the steps (1) after unreliable reason；If assessment result be it is reliable,
Then enter in next step；
(4) according in FEF parameterJudge whether the systematic error of flowmeter is in zone of reasonableness；
(5) if systematic error is not in zone of reasonableness, flowmeter wouldn't come into operation or suspend to come into operation to join and measure and carry out
Discharge coefficient on-line amending re-execute the steps (1) after to be adjusted；If systematic error is in zone of reasonableness, flowmeter comes into operation
Handover metering.
Preferably, if Q >=95% and S≤0.0025 and c/A < 10%, assessment system be it is reliable, it is on the contrary then assess and be
System is unreliable；IfThen decision-making system error is in zone of reasonableness, on the contrary then decision-making system error
It is not in zone of reasonableness.It is worth noting that, above-mentioned assessment and judgment criteria only recommend property, it is inventor according to a large amount of realities
The empirical value of border Data Summary, and the demand in connected applications provides, therefore, when the demand in practical application changes,
Judgment criteria can suitably be adjusted.
Compared with the prior art, the advantages of the present invention are as follows: the mass flowmenter on-line system error that the present invention develops
Determine method, on the one hand, its used comparison standard bank tank metering is a standardized liquid product metering method, is established
Mathematical model be based on Error Theory and probabilistic method, it is simple and convenient；It on the other hand, can be effective by this method
Ground determines the on-line system error of mass flowmenter and as the modified foundation of discharge coefficient, achievees the purpose that on-line calibration, more
The defect of the existing Calibration Technology of feeder current meter.
Specific embodiment
Present invention is further described in detail with reference to embodiments.
According to the description of tank metering in opposite bank in background technique, we learn that bank tank measuring accuracy is higher, but influence factor is more,
It is applied to cause certain limitation.But from the point of view of the principle and method that bank tank measures, the various error components of bank tank metering
It is all to belong to random error, so error should be symmetrically distributed in zero two sides according to Error Theory, simply, we
It can be understood as the two sides that each secondary metric results are symmetrically distributed in its true value, when sample size is enough, in the feelings of equivalent metering
Under condition, the average value of each secondary metric results can be considered average true value.
Because oil metering measure every time be related to transfer weight have have few, cannot simply be measured with n times
Cumulative amount or average magnitude are made comparisons.We investigate certain flow measurement M transferredLWith bank tank amount MARatio R=ML/MA, root
It can consider that it is the stochastic variable of a Normal Distribution according to measurement error and Probability Statistics Theory, it is assumed that flowmeter is not deposited
In systematic error, then its mathematical expectation μ=1, and when there are when systematic error, be then one to be greater than 1 (overgauge) for flowmeter
Or the value less than 1 (minus deviation), the difference with 1 are exactly the system relative error of flowmeter, here it is based on Error Theory,
The resolving ideas of mass flow meter systems error is identified and determined with probabilistic method.
Therefore, the present invention develops a kind of mass flowmenter on-line system mistake method for determining difference: utilizing mass flowmenter
The existing metered condition in is based on Error Theory, regard the metering of bank tank as comparison standard, is built with probabilistic method
The vertical mathematical model compared, discovery and determining mass flowmenter on-line system error.
The metering of bank tank is a standardized liquid product metering method in itself, and measurement and calculating have corresponding country's mark
Standard is also substantially equivalent or equally adopts international standards, executes according to standard requirements.The foundation of the mathematical model of comparison
It is all highly developed method and theory based on Error Theory and probabilistic method.
Above-mentioned mass flowmenter on-line system miss method for determining difference the following steps are included:
(1) liquid for measuring same metering batch respectively by flowmeter and bank tank, by each metering in certain time
Batch counts from date and is denoted as T1, the statistics Close Date is denoted as T2, and the total number of samples in the statistics phase is denoted as A, obtains as sample
The flowmeter of each sample-bank tank ratio R in the statistics phasei=MLi/MAi(i=1,2 ..., A)；
Wherein MLi、MAiThe flow measurement of each sample and bank tank amount (metric ton) respectively in the statistics phase；
(2) rejecting abnormalities batch sample, that is, Ri< 0.99 or RiAfter the sample of > 1.01, sample is statistical sample, abnormal batch
Number is denoted as c, and statistical sample number scale is n；
(3) counting statistics sample flowmeter-bank tank ratio R i average value
(4) number of samples in interval of acceptance is calculated, qualified sample number is denoted as m, and wherein interval of acceptance is
(5) average value of qualified sample flowmeter-bank tank ratio R i is calculatedQualification batch
Secondary rate Q=m/n*100% and standard deviation
(6) by T1, T2, A,Q, the value of S and c substitutes into following mathematical model expression formula: flowmeter-bank tank empirical coefficient
Definition and expression-form from above-mentioned FEF can be seen that FEF is under certain querying condition with mathematical statistics side
One group of parameter that method is calculated.
Wherein, T1-T2 is statistical time range, i.e. statistics the beginning and the end dates, it is desirable that in flowmeter, the same metering cycle of bank tank
Interior, metering cycle generally refers to the re-testing periods of flowmeter and bank tank, but if flowmeter is form, calibrating (does not tear inspection open
Fixed, only change new calibration certificate) it then can be considered after same metering cycle, bank tank examine and determines again as tank appearance is also visual without significant change
For same metering cycle；And when flowmeter has carried out the operations such as coefficient adjustment, maintenance, dismounting, bank tank carried out clear tank, transformation,
The operations such as inspection and tank, which hold, again occurs significant change, must all be used as new metering cycle.In addition, if other possible influence flowmeters occur
Event of meter characteristic such as metered media adjustment etc., will also be used as new metering cycle.Statistical time range is generally in conjunction with sample interval
It uses, if not providing sample interval, the FEF of whole batches successively divides if defining sample interval in the counting statistics period
Section calculates FEF, is finally incorporated to the preceding paragraph less than the batch of sample interval.In practical applications, in order to carry out the pipe of holonomic system
Reason, general we fix some metering cycle starting date of flowmeter as statistics from date.
A is the total number of samples in the statistics phase, i.e. sample interval, can be chosen at random according to actual needs, but is based on mathematics
The representative of statistics requires, and A should not be very little, general A >=40, and according to the effect of actual use, we are using A=40 as statistics
The conventional value of FEF.In general, the bigger statistical result of sample is trueer, so can expand A value when necessary, until all meterings
Batch；The flowmeter little for usage frequency, it may be necessary to appropriate to reduce A value.
The core parameter of FEF for flowmeter-bank tank ratio, it with 1 difference multiplied by 100% be exactly flowmeter
Systematic error, such as ratio 1.00234 indicate that the systematic error of flowmeter is positive 0.234%, therefore can use parameter work
The foundation for coming into operation and calibrating for flowmeter.WhenBe worth it is relatively stable in less than 1 state when, oil product shipment uses flowmeter meter
It is impaired that amount will cause delivery side's economic interests, otherwise it will cause the benefit damages to other side, in general, 0.9995-
1.0005 deviation a little is ideal working condition.Therefore it is considered that under normal circumstances,Value should be at least in
In 0.9995~1.0005 range, when being more than this range, it need to be corrected by the discharge coefficient of on-line tuning flowmeter.Work as meter
When sample number is very more in the amount period, it is a series of continuous that some suitable A value calculating can be selectedPass throughTrend graph is come
Observe its whether normal fluctuation, whether there is tendency unidirectionally to change.
Q is qualified batch rate, is the auxiliary parameter of FEF, mainly reflects actual metered error (flowmeter and the bank of sample
Tank overlay error, random error) with the degree that is consistent of theoretical precision, qualification rate is higher, and degree of being consistent is higher.The phase of error and precision
Fu Du is substantially the reflection of metered condition, and when metered condition ideal, when meeting the requirement of measurement criteria, error generally can
Control is within precision, and at this moment Q value is just bound to very high, and thus Q value is high,The confidence level of value is higher；, whereas if Q value
It is low, then illustrate that metered condition is undesirable, error be more than precision the case where it is relatively more,The confidence level of value is with regard to query.From practical warp
From the point of view of testing, all there may be the factor of drop low reactance-resistance ratio, flowmeter aspect mainly has installation factor for flowmeter metering and the metering of bank tank
(undesirable, job insecurity is installed), medium factor (medium is containing gas, the non-flowmeter application type of medium etc.), equipment
Factor (flowmeter aging, unappropriate maintenance etc.) and environmental factor；Mainly there are medium factor (temperature, density unevenness in terms of bank tank
It is even), transfer batch factor (transfer batch too small relative to tank memory oil mass), process flow conditions (transfer front and back pipeline state
It is inconsistent etc.) and tank body factor (external floating top tank transfers non-free floating of front and back ponding difference, tank body aging floating roof etc.).When Q value
When being chronically at lower, we can find out reason by actual observation and analysis and be resolved；Batch factor can then pass through
The batch range being arranged in above-mentioned querying condition is filtered.Pass through the observation and analysis to a large amount of metering real data, metering strip
The good flowmeter of part-bank tank metering system, Q value is generally all 95% or more, therefore it is considered that under normal circumstances, Q value should be extremely
Less 95% or more.
S is standard deviation and the auxiliary parameter of FEF, it is exactly the standard deviation of R in qualified sample statistic, is practical meter
The average value for measuring error (flowmeter and bank tank overlay error, random error) absolute value can reflect actual error better than theory
The degree namely actual metered precision of precision, but should be noted that because it be flowmeter and bank tank overlay error, when
It is subtractive effect when error is in the same direction, is additive effect, for example, it is assumed that the individual S value of flowmeter in sample totality when reversed
It is 0.002, the individual S value of bank tank is 0.003, it is assumed that the error of each sample is in the same direction that then the S value of ratio R is 0.001,
It is all reversely, to be 0.005, be averagely exactly 0.003, so being slightly larger than the average value of respective error.S and Q have with error size
It closes, so there are certain correlation, in general it is smaller to get over high s-value for Q value, vice versa.When Q value is identical, S value is smaller, says
The actual metered precision of bright metering system is higher；By the observation and analysis to a large amount of metering real data, to Q value 95% or more
Flowmeter-bank tank metering system, S value is generally all 0.0025 hereinafter, therefore it is considered that under normal circumstances, S value should be to when young
In 0.0025.
C is aberrant batches number and the auxiliary parameter of FEF, it is exactly the sample number of gross error, because gross error is
Caused by carelessness, fault, failure etc., so a small amount of sample can receive, but if c value is excessive in the statistics phase, then can be agreed
There are system sexual abnormalities, such as flowmeter failure etc. for fixed entire metering system, even if it is also to have no that statistics FEF is removed at this moment rejecting again
Meaning, it should search reason and try to eliminate.
Therefore according to above-mentioned analysis, the present invention also developed a kind of mass flowmenter on-line system and miss method for determining difference
Using, comprising the following steps:
(1) method for determining difference is missed according to above-mentioned mass flowmenter on-line system and measures FEF；
(2) it is whether reliable that flowmeter-bank tank metering system is assessed according to Q, S and c in FEF parameter；
(3) if assessment result be it is unreliable, analyzed in conjunction with metered condition of the actual conditions to metering system, according to
It analyzes result and determines and unreliable reason occurs, exclude to re-execute the steps (1) after unreliable reason；If assessment result be it is reliable,
Then enter in next step；
(4) according in FEF parameterJudge whether the systematic error of flowmeter is in zone of reasonableness；
(5) if systematic error is not in zone of reasonableness, flowmeter wouldn't come into operation or suspend to come into operation to join and measure and carry out
Discharge coefficient on-line amending re-execute the steps (1) after to be adjusted；If systematic error is in zone of reasonableness, flowmeter comes into operation
Handover metering.
Wherein, if Q >=95% and S≤0.0025 and c/A < 10%, assessment system is reliable, on the contrary then assessment system
It is unreliable；IfThen decision-making system error is in zone of reasonableness, and on the contrary then decision-making system error is not
In zone of reasonableness.
Further, if S≤0.0015, assessment system is very reliably, as S≤0.0010, to be then evaluated as very reliable.
It is worth noting that, above-mentioned assessment and judgment criteria only recommend property, it is inventor according to a large amount of real data
The empirical value of summary, and the demand in connected applications provides, it therefore, can be appropriate when the demand in practical application changes
Adjust judgment criteria.
Embodiment 1 (2#):
The flowmeter and bank tank for carrying out certain batch compare, and measure and are calculated according to the above method: FEF
(20111108-20111210,40)=(1.00035,100%, 0.00118,0), indicate flowmeter 20111108 to
The FEF of 20111210 40 samples of period,It is 100%, S 0.00118 that value, which is 1.00035, Q value, has 0 during T1-T2
A aberrant batches.
Due to Q >=95% and S≤0.0025 and c/A < 10%, assessment system is reliable；Due to Determine that flowmeter system error is in zone of reasonableness, therefore flowmeter comes into operation and joins metering.
Embodiment 2 (FI-01):
The flowmeter and bank tank for carrying out certain batch compare, and measure and are calculated according to the above method: FEF
(20120705-20130224,51)=(0.99867,98%, 0.00194,0).
Due to Q >=95% and S≤0.0025 and c/A < 10%, assessment system is reliable；Due to Determine that flowmeter system error is not in zone of reasonableness, therefore flowmeter pause handover measures and carries out discharge coefficient
On-line amending.
The flowmeter and bank tank that certain batch is re-started after to be adjusted compare, and measure and calculate according to the above method
It arrives: FEF (20130408-20131029,40)=(1.00028,100%, 0.00142,0).
Due to Q >=95% and S≤0.0025 and c/A < 10%, assessment system is reliable；Due to Determine that flowmeter system error is in zone of reasonableness, therefore flowmeter recovery comes into operation and joins metering.
Embodiment 3 (07#):
The flowmeter and bank tank for carrying out certain batch compare, and measure and are calculated according to the above method: FEF
(20140725-20160314,71)=(1.00008,97%, 0.00173,0).
Due to Q >=95% and S≤0.0025 and c/A < 10%, assessment system is reliable；Due to Determine that flowmeter system error is in zone of reasonableness, therefore flowmeter comes into operation and joins metering.
It is adjusted because producing, which stops using from 20160315, until 20170217 restore to use, arrive by the end of June,
The flowmeter and bank tank for carrying out certain batch compare, and measure and are calculated according to the above method: FEF (20170217-
20170630,31)=(1.00077,100%, 0.00000, -30).
Due to c/A=97%, far surpass 10%, assessment system be it is unreliable, then combine actual conditions to the meter of metering system
Amount condition is analyzed, and determine unreliable reason occurs based on the analysis results: through analyzing, bank tank metered condition is normal, unreliable
Reason should be flowmeter, and judgement is to need to repair without using caused by rear performance change for a long time.
The flowmeter and bank tank that certain batch is re-started after maintenance compare, and measure and are calculated according to the above method:
FEF (20170817-20180119,40)=(1.00015,97%, 0.00202,0).
Due to Q >=95% and S≤0.0025 and c/A < 10%, assessment system is reliable；Due to Determine that flowmeter system error is in zone of reasonableness, therefore flowmeter recovery comes into operation and joins metering.
Embodiment 4 (FT5008):
The flowmeter of certain new installation, the flowmeter and bank tank for carrying out a period of time compare, are measured and counted according to the above method
It obtains: FEF (20160902-20170203,34)=(1.00642,81%, 0.00308, -18).
Due to Q, S and c/A all show metering system be it is unreliable, then combine actual conditions to the metered condition of metering system
It is analyzed, determine unreliable reason occurs based on the analysis results: through analyzing, bank tank metered condition is normal, and unreliable reason is answered
This is flowmeter, but the flow is calculated as new flow meter, itself does not answer problematic, and judgement may be with uncertified debugging, installation
It is related not to be inconsistent requirement etc., therefore is reinstalled after removing inspection.
The flowmeter and bank tank that certain batch is re-started after installation compare, and measure and are calculated according to the above method:
FEF (20170404-20170905,40)=(1.00125,95%, 0.00185,0).
Due to Q >=95% and S≤0.0025 and c/A < 10%, assessment system is reliable；Due to Determine that flowmeter system error is not in zone of reasonableness, therefore flowmeter wouldn't come into operation to join and measure and carry out flow
Coefficient on-line amending.
The flowmeter and bank tank that certain batch is re-started after to be adjusted compare, and measure and calculate according to the above method
It arrives: FEF (20170909-20180205,40)=(1.00034,100%, 0.00102,0)
Due to Q >=95% and S≤0.0025 and c/A < 10%, assessment system is reliable；Due to Determine that flowmeter system error is in zone of reasonableness, therefore flowmeter recovery comes into operation and joins metering.
Claims (7)
1. a kind of mass flowmenter on-line system misses method for determining difference, it is characterised in that: utilize existing in mass flowmenter application
Some metered conditions, it is theoretical based on error measure, it regard the metering of bank tank as comparison standard, is compared with probabilistic method foundation
Mathematical model, discovery and determining mass flowmenter on-line system error.
2. mass flowmenter on-line system according to claim 1 misses method for determining difference, it is characterised in that including following
Step:
(2.1) liquid for measuring same metering batch respectively by flowmeter and bank tank, by each metering in certain time batch
Secondary to be used as sample, statistics from date is denoted as T1, and the statistics Close Date is denoted as T2, and the total number of samples in the statistics phase is denoted as A, obtains
The flowmeter of each sample-bank tank ratio R in the statistics phasei=MLi/MAi(i=1,2 ..., A)；
Wherein MLi、MAiThe flow measurement of each sample and bank tank amount (metric ton) respectively in the statistics phase；
(2.2) after rejecting abnormalities batch sample, sample is statistical sample, and aberrant batches number scale is c, and statistical sample number scale is n；
(2.3) counting statistics sample flowmeter-bank tank ratio R i average value
(2.4) number of samples in interval of acceptance is calculated, qualified sample number is denoted as m；
(2.5) average value of qualified sample flowmeter-bank tank ratio R i is calculatedQualified batch
Rate Q=m/n*100% and standard deviation
(2.6) by T1, T2, A,Q, the value of S and c substitutes into following mathematical model expression formula: flowmeter-bank tank empirical coefficient
3. mass flowmenter on-line system according to claim 2 misses method for determining difference, it is characterised in that: step
(2.1) A >=40 described in.
4. mass flowmenter on-line system according to claim 2 misses method for determining difference, it is characterised in that: step
(2.2) aberrant batches sample described in are Ri< 0.99 or RiThe sample of > 1.01.
5. mass flowmenter on-line system according to claim 2 misses method for determining difference, it is characterised in that: step
(2.4) interval of acceptance described in is
6. the application that a kind of mass flowmenter on-line system misses method for determining difference, it is characterised in that the following steps are included:
(6.1) the mass flowmenter on-line system according to any claim in claim 2~5 misses method for determining difference
Measure FEF；
(6.2) it is whether reliable that flowmeter-bank tank metering system is assessed according to Q, S and c in FEF parameter；
(6.3) if assessment result be it is unreliable, analyzed in conjunction with metered condition of the actual conditions to metering system, according to divide
It analyses result and determines and unreliable reason occurs, exclude to re-execute the steps (6.1) after unreliable reason；If assessment result be it is reliable,
Then enter in next step；
(6.4) according in FEF parameterJudge whether the systematic error of flowmeter is in zone of reasonableness；
(6.5) if systematic error is not in zone of reasonableness, flowmeter wouldn't come into operation or suspend to come into operation to join and measure and flowed
Coefficient of discharge on-line amending re-execute the steps (6.1) after to be adjusted；If systematic error is in zone of reasonableness, flowmeter comes into operation
Handover metering.
7. the application that mass flowmenter on-line system according to claim 6 misses method for determining difference, it is characterised in that: if
Q >=95% and S≤0.0025 and c/A < 10%, then assessment system is reliable, and on the contrary then assessment system is unreliable；IfThen decision-making system error is in zone of reasonableness, on the contrary then decision-making system error is not in reasonable model
It encloses.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110160609A (en) * | 2018-02-13 | 2019-08-23 | 广州能源检测研究院 | A kind of double calibrating gas flow apparatus parallel structures and detection method |
| CN112161689A (en) * | 2020-07-27 | 2021-01-01 | 江苏量动信息科技有限公司 | Weighing error estimation method and device of dynamic automobile scale based on measurement error theory |
| CN114659594A (en) * | 2022-03-21 | 2022-06-24 | 江苏红光仪表厂有限公司 | Active calibration system for flow meter |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1258349A (en) * | 1997-05-29 | 2000-06-28 | 微动公司 | Overfill compensation for batch delivery system |
| CN1473262A (en) * | 2000-11-03 | 2004-02-04 | Apparatus and method for compensating mass flow rate of material when density of material causes unacceptable error in flow rate | |
| CN102012251A (en) * | 2010-09-29 | 2011-04-13 | 西安东风机电有限公司 | Method and device for detecting additives, abrasion or corrosion on wall of vibrating tube of Coriolis mass flowmeter |
| CN105115573A (en) * | 2015-07-18 | 2015-12-02 | 厦门理工学院 | Correction method and device for flood flow forecasting |
| WO2016020762A2 (en) * | 2014-08-04 | 2016-02-11 | TaKaDu Ltd. | A system and method for assessing sensors' reliability |
| RU2593446C1 (en) * | 2015-06-11 | 2016-08-10 | Общество с ограниченной ответственностью "Центр транспортного инспектората" | Method for automatic control of metrological characteristics of measuring devices of mass of oil or liquid oil products during tempering at fuel bases |
| CN107003177A (en) * | 2014-06-04 | 2017-08-01 | 罗伯特·博世有限公司 | Method for calibrating the flowmeter for fluid media (medium) |
-
2018
- 2018-07-20 CN CN201810801409.1A patent/CN108955837B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1258349A (en) * | 1997-05-29 | 2000-06-28 | 微动公司 | Overfill compensation for batch delivery system |
| CN1473262A (en) * | 2000-11-03 | 2004-02-04 | Apparatus and method for compensating mass flow rate of material when density of material causes unacceptable error in flow rate | |
| CN102012251A (en) * | 2010-09-29 | 2011-04-13 | 西安东风机电有限公司 | Method and device for detecting additives, abrasion or corrosion on wall of vibrating tube of Coriolis mass flowmeter |
| CN107003177A (en) * | 2014-06-04 | 2017-08-01 | 罗伯特·博世有限公司 | Method for calibrating the flowmeter for fluid media (medium) |
| WO2016020762A2 (en) * | 2014-08-04 | 2016-02-11 | TaKaDu Ltd. | A system and method for assessing sensors' reliability |
| RU2593446C1 (en) * | 2015-06-11 | 2016-08-10 | Общество с ограниченной ответственностью "Центр транспортного инспектората" | Method for automatic control of metrological characteristics of measuring devices of mass of oil or liquid oil products during tempering at fuel bases |
| CN105115573A (en) * | 2015-07-18 | 2015-12-02 | 厦门理工学院 | Correction method and device for flood flow forecasting |
Non-Patent Citations (2)
| Title |
|---|
| 周永祥: "质量流量计在码头贸易计量中的应用", 《信息化建设》 * |
| 熊刚: "基于质量流量计的成品油装船计量系统", 《中国计量》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110160609A (en) * | 2018-02-13 | 2019-08-23 | 广州能源检测研究院 | A kind of double calibrating gas flow apparatus parallel structures and detection method |
| CN112161689A (en) * | 2020-07-27 | 2021-01-01 | 江苏量动信息科技有限公司 | Weighing error estimation method and device of dynamic automobile scale based on measurement error theory |
| CN114659594A (en) * | 2022-03-21 | 2022-06-24 | 江苏红光仪表厂有限公司 | Active calibration system for flow meter |
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