CN108955837B - Method for determining online system error of mass flowmeter and application thereof - Google Patents
Method for determining online system error of mass flowmeter and application thereof Download PDFInfo
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- 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
Abstract
The invention relates to a method for determining online system errors of a mass flow meter and application thereof. Compared with the prior art, the invention has the advantages that: on one hand, the method for determining the online system error of the mass flow meter is a standardized liquid product metering method compared with standard shore tank metering, and the established mathematical model is based on a measurement error theory and a probability statistical method, so that the method is simple and convenient; on the other hand, the method can effectively determine the online system error of the mass flowmeter and serve as the basis for flow coefficient correction, thereby achieving the purpose of online calibration and making up the defects of the existing calibration technology of the flowmeter.
Description
Technical Field
The invention relates to the field of flow measurement, in particular to a method for determining online system errors of a mass flowmeter and application thereof.
Background
The metering of liquid petroleum products in ship is a daily work of petrochemical production and storage enterprises, and the metering is money-counting because the metering is directly related to the economic benefits of relevant parties such as shippers, receivers and carriers, so that the establishment and the maintenance of the normal order of the metering of the products in ship and the guarantee of the accuracy of the metering have very important significance for maintaining the legitimate rights and interests of all parties and establishing the good image of the enterprises.
The liquid petroleum product loading and metering mainly comprises the modes of mass flow meter metering, bank tank metering, cabin metering and the like, wherein the metering precision is the highest mass flow meter, generally 0.001-0.002, the second bank tank is generally 0.003, and the lowest cabin is generally 0.005. At present, the first two measurement modes are mostly adopted for trade and handover of petroleum products, and the cabin measurement is used as a reference quantity.
The bank tank metering is a traditional metering mode of liquid products, belongs to static metering, and is scientific in metering principle, namely weight is equal to volume multiplied by density, the metering theory and standard are mature, the metering precision can reach 0.003, and the bank tank metering is still widely used in trade handover at present. The errors of bank tank measurement mainly come from the measurement errors of liquid level, liquid temperature, density, tank capacity and the like, the measured values are obtained by manual operation of measuring personnel through measuring equipment and appliances such as a dip rod, a liquid thermometer, a densimeter, a total station and the like, and the management requirements on the technical capability, comprehensive quality and the like of the measuring personnel are high; in addition, in a large number of measurements, different appliances and persons are involved. These all pose a certain limit to the use of shore tank gauging in trade transfers.
The metering of the mass flowmeter is basically not influenced by human factors, the objectivity is strong, the metering result is good in intuition, the mass flowmeter is easy to accept by all parties, and meanwhile, the metering time is short, the efficiency is high, so that the mass flowmeter is a preferred metering mode for shipping products. But the metering of the mass flowmeter has defects, theoretical research and actual data show that the mass flowmeter is qualified through metering verification before installation and use, but after actual installation, the zero drift may occur during the use process under the influence of external factors such as stress, medium and environment, and cause a systematic error to occur in the metering result, and due to the existence of the systematic error, the mass flowmeter has the defect of high precision, but not necessarily high accuracy, so that the metering accuracy is not as good as people think, and as long as the working conditions of the system do not change obviously, the system error can exist continuously and stably, because the sign of the error value of the system error is unchanged, the accumulated quantity of the error is more and more when the accumulated quantity of the mass flowmeter is larger, obviously, the potential economic loss risk of the mass flowmeter is very large.
The identification and determination of the mass flow meter system errors described above falls into the calibration category of the metering apparatus, which requires online calibration because it is generated online. The mass flowmeter is a legal measuring instrument which can be put into practice only after being qualified through metrological verification when being used for trade handover metering, but no technology and method for carrying out online verification or calibration on the mass flowmeter exist so far, and the verification method adopted at present is laboratory verification (see JJJG 1038 and Coriolis mass flowmeter verification regulation): the mass flow meter was removed from the process flow and sent to a calibration laboratory for calibration on a standard calibration apparatus. Because the laboratory is used with standard conditions, the medium material, medium temperature, pipe diameter, flow, installation stress and environmental conditions (noise, vibration and the like) are greatly different from those under the actual use condition: on one hand, the mass flowmeter is arranged in a water flow standard device, and the mounting stress of the mass flowmeter, the pipeline process at the front end and the rear end and the external environment of the whole device are greatly different from those of the mass flowmeter in actual use; on the other hand, the medium used for verification is water, the temperature is generally about 20 ℃, the flow range is narrow, and the conditions are also greatly different from the actual use, and the change of the conditions causes zero drift and system error of the mass flowmeter. Therefore, it can be said that laboratory qualification is only a necessary condition for a mass flow meter to be usable, and not a sufficient condition for it to be accurately metered in a real environment, and laboratory qualification does not solve the problem of online system error of a mass flow meter, in other words, those mass flow meters in use, including qualification, are not necessarily actually qualified so far. This is a drawback of the existing verification or calibration techniques for mass flow meters.
Disclosure of Invention
The invention aims to solve the first technical problem of providing a simple and effective method for determining the online system error of a mass flowmeter, aiming at the current situation of the prior art.
The second technical problem to be solved by the invention is to provide a simple and effective application of the method for determining the online system error of the mass flowmeter.
The technical scheme adopted by the invention for solving the first technical problem is as follows: a method for determining online system errors of a mass flowmeter is characterized by comprising the following steps: the method comprises the steps of utilizing the existing metering conditions in the application of the mass flowmeter, taking shore tank metering as a comparison standard based on a measurement error theory, establishing a comparison mathematical model by using a probability statistical method, and discovering and determining the online system error of the mass flowmeter.
Preferably, the method for determining the online system error of the mass flowmeter comprises the following steps:
(1) respectively metering liquid of the same metering batch by a flowmeter and a shore tank, taking each metering batch in a certain period of time as a sample, recording the counting start date as T1, the counting end date as T2, and the total sample number in the counting period as A to obtain the flowmeter-shore tank ratio R of each sample in the counting periodi＝MLi/MAi(i＝1,2,…,A)；
Wherein M isLi、MAiRespectively measuring the flow and the shore tank amount (metric ton) of each sample in a statistical period;
(2) after the abnormal batch samples are removed, the samples are statistical samples, the number of the abnormal batches is recorded as c, and the number of the statistical samples is recorded as n;
(3) calculating the average value of the statistical sample flowmeter-shore tank ratio Ri
(4) Calculating the number of samples in a qualified interval, and recording the number of qualified samples as m;
(5) calculating the average value of the qualified sample flowmeter-shore tank ratio Ri
Qualification rate Q ═ m/n 100% and standard deviation
(6) Mixing T1, T2, A,
Q, S and c are substituted into the following mathematical model expression: flowmeter-bank tank empirical factor
Further, A is more than or equal to 40 in the step (1). In general, the larger A, the more true the statistical result, and in order to balance efficiency and sample representativeness, typically A ≧ 40.
Further, the abnormal batch sample in the step (2) is Ri< 0.99 or RiSamples > 1.01. And directly eliminating batches with the ratio of more than 1% without participating in statistical calculation, and filtering abnormal data.
Further, the qualified interval in the step (4) is
Will be in the samples taking part in the calculationThe secondary elimination of the batch with the difference between the ratio and the average ratio exceeding 0.005 can further filter the data with the error exceeding the theoretical precision and judge on the basis of the data
The confidence level of the value.
The technical scheme adopted by the invention for solving the second technical problem is as follows: the application of the method for determining the online system error of the mass flowmeter is characterized by comprising the following steps:
(1) measuring FEF according to the method for determining the online system error of the mass flowmeter;
(2) evaluating whether the flowmeter-shore tank metering system is reliable based on Q, S and c in the FEF parameters;
(3) if the evaluation result is unreliable, analyzing the metering conditions of the metering system by combining the actual situation, determining the occurrence of unreliable reasons according to the analysis result, and executing the step (1) again after the unreliable reasons are eliminated; if the evaluation result is reliable, entering the next step;
(4) according to FEF parameters
Judging whether the system error of the flowmeter is in a reasonable range or not;
(5) if the system error is not in a reasonable range, the flow meter is temporarily not put into service or put into service for handover metering, the flow coefficient is corrected on line, and the step (1) is executed again after adjustment; and if the system error is in a reasonable range, the flow meter commits handover metering.
Preferably, if Q is more than or equal to 95 percent, S is less than or equal to 0.0025, and c/A is less than 10 percent, the evaluation system is reliable, otherwise, the evaluation system is unreliable; if it is
And judging that the system error is in a reasonable range, otherwise, judging that the system error is not in the reasonable range. It should be noted that the above evaluation and judgment criteria are only recommended properties, and are empirical values summarized by the inventor according to a large amount of practical data, and combined with applicationsThe requirements are given, so that the judgment criterion can be appropriately adjusted when the requirements in practical application change.
Compared with the prior art, the invention has the advantages that: on one hand, the method for determining the online system error of the mass flow meter is a standardized liquid product metering method compared with standard shore tank metering, and the established mathematical model is based on a measurement error theory and a probability statistical method, so that the method is simple and convenient; on the other hand, the method can effectively determine the online system error of the mass flowmeter and serve as the basis for flow coefficient correction, thereby achieving the purpose of online calibration and making up the defects of the existing calibration technology of the flowmeter.
Detailed Description
The present invention will be described in further detail with reference to examples.
According to the description of the shore tank metering in the background technology, the shore tank metering precision is high, but the influence factors are many, and certain limitation is caused to the application of the shore tank metering. However, from the principle and method of bank tank measurement, various error factors of the bank tank measurement belong to random errors, so according to the measurement error theory, the errors of the bank tank measurement are symmetrically distributed on two sides of zero.
Because the oil metering involves a small or large transfer weight per metering, it is not possible to simply compare the cumulative or average of n metering. We examine the flow measurement M of a certain transferLAmount of shore tank MAR is ML/MAThe measurement error and probability statistics theory can be regarded as a random variable which follows normal distribution, the mathematical expected value mu of the flowmeter is 1 if no system error exists in the flowmeter, and when the flowmeter has the system error, the mathematical expected value mu is a value which is more than 1 (positive deviation) or less than 1 (negative deviation), and the difference value from 1 is the system relative error of the flowmeter, which is based on the measurement error theory, the mass flow is identified and determined by the probability statistics methodAnd (4) solving the system error of the meter.
Therefore, the invention develops a method for determining the online system error of the mass flowmeter, which comprises the following steps: the method comprises the steps of utilizing the existing metering conditions in the application of the mass flowmeter, taking shore tank metering as a comparison standard based on a measurement error theory, establishing a comparison mathematical model by using a probability statistical method, and discovering and determining the online system error of the mass flowmeter.
The shore tank metering method is a standardized liquid product metering method, the measurement and calculation have corresponding national standards, and the shore tank metering method is basically implemented according to the standard requirements by adopting the equivalent or equivalent international standards. The establishment of the mathematical model of the comparison is based on the measurement error theory and the probability statistical method, which are very mature methods and theories.
The method for determining the online system error of the mass flowmeter comprises the following steps:
(1) respectively metering liquid of the same metering batch by a flowmeter and a shore tank, taking each metering batch in a certain period of time as a sample, recording the counting start date as T1, the counting end date as T2, and the total sample number in the counting period as A to obtain the flowmeter-shore tank ratio R of each sample in the counting periodi＝MLi/MAi(i＝1,2,…,A)；
Wherein M isLi、MAiRespectively measuring the flow and the shore tank amount (metric ton) of each sample in a statistical period;
(2) removing abnormal batch samples Ri< 0.99 or RiAfter the sample is more than 1.01, the sample is a statistical sample, the number of abnormal batches is recorded as c, and the number of statistical samples is recorded as n;
(3) calculating the average value of the statistical sample flowmeter-shore tank ratio Ri
(4) Calculating the number of samples in a qualified interval, wherein the number of qualified samples is recorded as m, and the qualified interval is
(5) Calculating the average value of the qualified sample flowmeter-shore tank ratio Ri
Qualification rate Q ═ m/n 100% and standard deviation
(6) Mixing T1, T2, A,
Q, S and c are substituted into the following mathematical model expression: flowmeter-bank tank empirical factor
From the definition and expression form of the FEF, it can be seen that the FEF is a set of parameters calculated by a mathematical statistics method under a certain query condition.
Wherein, T1-T2 is a statistical time period, i.e. a statistical origin-destination date, and it is required that in the same metering cycle of the flow meter and the shore tank, the metering cycle generally refers to the verification cycle of the flow meter and the shore tank, but if the flow meter is only verified in form (verification is not released, only new verification certificate is sent), the flow meter can be regarded as the same metering cycle, and after the shore tank is re-verified, the same metering cycle can be regarded as if the tank capacity has no obvious change; when the flowmeter performs operations such as coefficient adjustment, maintenance, disassembly and assembly, the shore tank performs operations such as tank cleaning, transformation, re-inspection and the like, and the tank volume is obviously changed, the operations are required to be used as a new metering period. In addition, if other events which can affect the metering characteristics of the flowmeter, such as metering medium adjustment and the like, occur, the new metering period is also used. The statistical time interval is generally used in combination with the sample interval, if the sample interval is not specified, the FEFs of all batches in the statistical time interval are calculated, if the sample interval is specified, the FEFs are sequentially calculated in a segmented manner, and finally the batches smaller than the sample interval are merged into the previous segment. In practical applications, for the management of a complete system, we generally fix the start date of a certain metering cycle of the flow meter as the statistical start date.
A is the total number of samples in the statistical period, namely the sample interval, which can be selected at will according to actual needs, but based on the representative requirements of mathematical statistics, A is not too small, generally A is more than or equal to 40, and according to the actual using effect, A is 40 as the conventional value of statistical FEF. Generally, the larger the sample, the more true the statistical result, so the value a can be expanded if necessary, up to the entire measurement batch; for a flowmeter that is not frequently used, the value a may be appropriately reduced if necessary.
Q is qualified batch rate, is an auxiliary parameter of FEF, and mainly reflects the actual metering error of the sample(the superposition error of the flowmeter and the shore tank, the random error) conforms to the theoretical precision, and the higher the qualified rate is, the higher the conforming degree is. The conformity of the error and the precision is essentially the reflection of the metering condition, when the metering condition is ideal and conforms to the requirement of the metering standard, the error can be generally controlled within the precision, at this time, the Q value is high, so the Q value is high,
the higher the confidence in the value; on the other hand, if the Q value is low, it indicates that the measurement condition is not ideal, and the error is more than the precision,
the confidence of the value is questionable. From practical experience, both flow meter metering and shore tank metering may have factors for reducing the Q value, and the flow meter mainly has installation factors (installation is not satisfactory and operation is unstable), medium factors (medium contains gas, medium is not applicable to the flow meter, etc.), equipment factors (aging of the flow meter, improper maintenance, etc.) and environmental factors; the shore tank mainly comprises medium factors (temperature and density are not uniform), transfer batch factors (transfer batch is too small relative to the amount of oil stored in the tank), process flow factors (pipeline states before and after transfer are not consistent and the like) and tank body factors (accumulated water difference before and after transfer of the external floating roof tank, aging floating roof of the tank body and non-free floating and the like). When the Q value is lower for a long time, the reason can be found out through actual observation and analysis to solve the problem; the batch factor may be filtered by setting the batch range in the query. Through observation and analysis of a large amount of actual metering data, the Q value of a flowmeter-shore tank metering system with good metering conditions is generally over 95 percent, so that the Q value is considered to be at least over 95 percent under normal conditions.
S is a standard deviation, which is an auxiliary parameter of the FEF, and is a standard deviation of R in the qualified sample statistic, which is an average value of absolute values of actual metering errors (stacking errors of the flow meter and the shore tank, random errors), and can reflect the degree of the actual errors better than theoretical accuracy, that is, the actual metering accuracy, but it should be noted that, because it is a stacking error of the flow meter and the shore tank, when the errors are in the same direction, it is a subtraction effect, and when the errors are in the opposite direction, it is an addition effect, for example, it is assumed that the S value of the flow meter in the sample population is 0.002, the S value of the shore tank is 0.003, and assuming that the errors of each sample are in the same direction, the S value of the ratio R is 0.001, both are in the opposite direction, and are 0.005, and the average is 0.003, so it is slightly larger than. Both S and Q have a certain correlation with the magnitude of the error, and generally, the higher the Q value, the smaller the S value, and vice versa. When the Q values are the same and the S value is smaller, the actual metering precision of the metering system is higher; through observation and analysis of a large amount of actual metering data, the S value of a flowmeter-shore tank metering system with the Q value of more than 95 percent is generally below 0.0025, so that the S value is considered to be at least less than 0.0025 under the normal condition.
c is the number of abnormal batches and is also an auxiliary parameter of the FEF, which is the number of samples of a coarse error, because the coarse error is caused by negligence, mistake, failure and the like, a small number of samples can be accepted, but if the value of c in the counting period is too large, the systematic abnormality of the whole metering system, such as the failure of a flowmeter and the like, can be determined, and even if the FEF is eliminated and counted, the reason is not meaningful, and the FEF is searched and eliminated.
Therefore, according to the above analysis, the present invention further develops an application of the method for determining the online system error of the mass flowmeter, which includes the following steps:
(1) measuring FEF according to the method for determining the online system error of the mass flowmeter;
(2) evaluating whether the flowmeter-shore tank metering system is reliable based on Q, S and c in the FEF parameters;
(3) if the evaluation result is unreliable, analyzing the metering conditions of the metering system by combining the actual situation, determining the occurrence of unreliable reasons according to the analysis result, and executing the step (1) again after the unreliable reasons are eliminated; if the evaluation result is reliable, entering the next step;
(4) according to FEF parameters
Judging flowWhether the system error of the meter is in a reasonable range;
(5) if the system error is not in a reasonable range, the flow meter is temporarily not put into service or put into service for handover metering, the flow coefficient is corrected on line, and the step (1) is executed again after adjustment; and if the system error is in a reasonable range, the flow meter commits handover metering.
Wherein if Q is more than or equal to 95 percent, S is less than or equal to 0.0025, and c/A is less than 10 percent, the evaluation system is reliable, otherwise, the evaluation system is unreliable; if it is
And judging that the system error is in a reasonable range, otherwise, judging that the system error is not in the reasonable range.
Further, if S is less than or equal to 0.0015, the evaluation system is very reliable, and when S is less than or equal to 0.0010, the evaluation system is very reliable.
It should be noted that the above evaluation and judgment criteria are only recommended properties, and are given by the inventor based on empirical values summarized from a large amount of actual data and combined with the requirements in the application, and therefore, when the requirements in the actual application change, the judgment criteria can be adjusted appropriately.
Example 1(2 #):
and (3) comparing the flowmeters and the shore tanks in a certain batch, and obtaining the following through measurement and calculation according to the method: FEF (20111108-
The value was 1.00035, the Q value was 100%, S was 0.00118, and there were 0 outlier batches during the period T1-T2.
Since Q is more than or equal to 95 percent, S is less than or equal to 0.0025, and c/A is less than 10 percent, the evaluation system is reliable; due to the fact that
Determining that the system error of the flow meter is in a reasonable rangeTherefore, the flow meter is used for delivering measurement.
Example 2 (FI-01):
and (3) comparing the flowmeters and the shore tanks in a certain batch, and obtaining the following through measurement and calculation according to the method: FEF (20120705-.
Since Q is more than or equal to 95 percent, S is less than or equal to 0.0025, and c/A is less than 10 percent, the evaluation system is reliable; due to the fact that 
And (4) judging that the system error of the flowmeter is not in a reasonable range, and therefore suspending the transfer of the measurement and performing online correction on the flow coefficient by the flowmeter.
After adjustment, the comparison between the flowmeters and the shore tanks in a certain batch is carried out again, and the following are obtained by measurement and calculation according to the method: FEF (20130408 ═ 20131029, 40) ═ 1.00028, 100%, 0.00142, 0.
Since Q is more than or equal to 95 percent, S is less than or equal to 0.0025, and c/A is less than 10 percent, the evaluation system is reliable; due to the fact that
And (4) judging that the system error of the flow meter is in a reasonable range, and recovering the commissioning and handing-over metering of the flow meter.
Example 3(07 #):
and (3) comparing the flowmeters and the shore tanks in a certain batch, and obtaining the following through measurement and calculation according to the method: FEF (20140725-.
Since Q is more than or equal to 95 percent, S is less than or equal to 0.0025, and c/A is less than 10 percent, the evaluation system is reliable; due to the fact that And (4) judging that the system error of the flow meter is in a reasonable range, so that the flow meter commits handover metering.
The flowmeter stops using from 20160315 until 20170217 returns to use due to production adjustment, and a certain batch of flowmeter and shore tank comparison is carried out to the end of 6 months, and the mass is measured and calculated according to the method as follows: FEF (20170217) 20170630, 31 ═ 1.00077, 100%, 0.00000, -30.
And (3) as c/A is 97%, which is far more than 10%, and the evaluation system is unreliable, analyzing the metering conditions of the metering system by combining the actual conditions, and determining the reason of the occurrence of the unreliable according to the analysis result: through analysis, the shore tank metering condition is normal, and the unreliable reason is that the flowmeter is judged to be changed in performance after long-term non-use and needs to be maintained.
And after maintenance, comparing the flowmeters and the shore tanks in a certain batch, and measuring and calculating according to the method to obtain: FEF (20170817) 20180119, 40 ═ 1.00015, 97%, 0.00202, 0.
Since Q is more than or equal to 95 percent, S is less than or equal to 0.0025, and c/A is less than 10 percent, the evaluation system is reliable; due to the fact that
And (4) judging that the system error of the flow meter is in a reasonable range, and recovering the commissioning and handing-over metering of the flow meter.
Example 4(FT 5008):
comparing a flowmeter and a shore tank of a certain newly installed flowmeter for a period of time, and obtaining the following through measurement and calculation according to the method: FEF (20160902-.
Since both Q, S and c/A indicate that the metering system is unreliable, the metering condition of the metering system is analyzed according to the actual condition, and the reason for the occurrence of the unreliable is determined according to the analysis result: through analysis, the shore tank metering condition is normal, and the unreliable reason is due to the flowmeter, but the flowmeter is a new flowmeter, so that the flowmeter has no problem, and the judgment is possibly related to non-verification debugging, non-compliance installation and the like, so that the flowmeter is installed again after being detached for inspection.
And after the installation, comparing the flowmeters and the shore tanks in a certain batch, and measuring and calculating according to the method to obtain: FEF (20170404) 20170905, 40 ═ 1.00125, 95%, 0.00185, 0.
Since Q is more than or equal to 95 percent, S is less than or equal to 0.0025, and c/A is less than 10 percent, the evaluation system is reliable; due to the fact that
And judging that the system error of the flowmeter is not in a reasonable range, so that the flowmeter is temporarily not used for transferring measurement and the flow coefficient is corrected online.
After adjustment, the comparison between the flowmeters and the shore tanks in a certain batch is carried out again, and the following are obtained by measurement and calculation according to the method: FEF (20170909-
Since Q is more than or equal to 95 percent, S is less than or equal to 0.0025, and c/A is less than 10 percent, the evaluation system is reliable; due to the fact that
And (4) judging that the system error of the flow meter is in a reasonable range, and recovering the commissioning and handing-over metering of the flow meter.
Claims (6)
1. A method for determining online system errors of a mass flowmeter is characterized by comprising the following steps: the method comprises the steps of utilizing the existing metering conditions in the application of the mass flowmeter, taking shore tank metering as a comparison standard based on an error measurement theory, establishing a mathematical model for comparison by using a probability statistical method, and discovering and determining the online system error of the mass flowmeter;
the method for determining the online system error of the mass flowmeter comprises the following steps:
(2.1) metering the same metering batch respectively through a flowmeter and a shore tankTaking each metered batch in a certain period of time as a sample, recording the counting starting date as T1, recording the counting finishing date as T2, recording the total sample number in the counting period as A, and obtaining the flowmeter-shore tank ratio R of each sample in the counting periodi＝MLi/MAi(i＝1,2,…,A)；
Wherein M isLi、MAiRespectively measuring the flow and the shore tank amount (metric ton) of each sample in a statistical period;
(2.2) after the abnormal batch samples are removed, taking the samples as statistical samples, recording the number of abnormal batches as c, and recording the number of statistical samples as n;
(2.3) calculating the average value of the statistical sample flowmeter-tank-on-shore ratio Ri
(2.4) calculating the number of samples in a qualified interval, and recording the number of qualified samples as m;
(2.5) calculating the average value of the qualified sample flowmeter-tank-to-shore ratio Ri
Qualification rate Q ═ m/n 100% and standard deviation
(2.6) mixing T1, T2, A,Q, S and c are substituted into the following mathematical model expression: flowmeter-bank tank empirical factor
2. The method of determining an online system error of a mass flow meter of claim 1, wherein: in the step (2.1), A is more than or equal to 40.
3. Root of herbaceous plantThe method of determining an online system error of a mass flow meter of claim 1, wherein: the abnormal batch sample in the step (2.2) is Ri< 0.99 or RiSamples > 1.01.
4. The method of determining an online system error of a mass flow meter of claim 1, wherein: in the step (2.4), the qualified interval is
5. The application of the method for determining the online system error of the mass flowmeter is characterized by comprising the following steps:
(5.1) determining FEF according to the method for determining online system error of a mass flowmeter of any one of claims 1 to 4;
(5.2) evaluating whether the flowmeter-shore tank gauging system is reliable based on Q, S and c in the FEF parameters;
(5.3) if the evaluation result is unreliable, analyzing the metering condition of the metering system by combining the actual situation, determining the unreliable reason according to the analysis result, and executing the step (5.1) again after the unreliable reason is eliminated; if the evaluation result is reliable, entering the next step;
(5.4) according to FEF parameters
Judging whether the system error of the flowmeter is in a reasonable range or not;
(5.5) if the system error is not in a reasonable range, temporarily stopping using the flowmeter or suspending using, handing over and metering, carrying out online correction on the flow coefficient, and executing the step (5.1) again after adjustment; and if the system error is in a reasonable range, the flow meter commits handover metering.
6. Use of a method of determining an online system error of a mass flow meter according to claim 5, wherein: if Q is more than or equal to 95 percent and S is less than or equal to 0.0025 and c/A is less than 10%, the system is evaluated as reliable, otherwise, the system is evaluated as unreliable; if it is
And judging that the system error is in a reasonable range, otherwise, judging that the system error is not in the reasonable range.
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