CN102043757A - Calculating device for measuring uncertainty - Google Patents
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- CN102043757A CN102043757A CN201010595542XA CN201010595542A CN102043757A CN 102043757 A CN102043757 A CN 102043757A CN 201010595542X A CN201010595542X A CN 201010595542XA CN 201010595542 A CN201010595542 A CN 201010595542A CN 102043757 A CN102043757 A CN 102043757A
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Abstract
The invention relates to a calculating device for measuring uncertainty, comprising a basic information acquisition unit, a basic information relevance matching unit, a modelling unit, an optimal estimate value calculation unit, an uncertainty resource analyzing and processing unit, an uncertainty component calculation unit, a synthetic variance expression generation unit and an expanded uncertainty calculation unit. The calculating device for measuring uncertainty can quickly and accurately calculate the measurement uncertainty of a measured object by combining with the relevant basic information according to the measured object.
Description
Technical field
The present invention relates to a kind of calculation element of uncertainty of measurement.
Background technology
Uncertainty of measurement justice is meant because the existence of measuring error, to the unsubstantiated degree of the measured value of measurand; Conversely, the confidence level that also shows this result.It is the index of measurement result quality.Uncertainty of measurement is littler, and described result and measured true value are more approaching, and quality is high more, and level is high more, and its use value is high more; Uncertainty of measurement is big more, and the quality of measurement result is low more, and level is low more, and its use value is also low more.Measured as a result the time in report, must provide corresponding uncertainty of measurement, its people easy to use on the one hand evaluates its reliability, has also strengthened the comparability between the measurement result on the other hand.How calculating uncertainty of measurement quickly and accurately is the technical matters that each those skilled in the art is badly in need of solving.
Summary of the invention
The purpose of this invention is to provide a kind of calculation element that can calculate the uncertainty of measurement of uncertainty of measurement quickly and accurately.
For solving the problems of the technologies described above, the present invention takes following technical scheme: a kind of calculation element of uncertainty of measurement comprises: basic information collection unit, Back ground Information associated match unit, modeling unit, best estimate computing unit, uncertainty source analysis processing unit, uncertainty component calculation unit, synthetic variance expression formula generation unit and expanded uncertainty computing unit; Described basic information collection unit is used to gather the needed Back ground Information of described calculation element; Described Back ground Information associated match unit is used for setting up the associated match relation between each key element of described Back ground Information; Described modeling unit is set up measured mathematical model according to described Back ground Information and associated match relation; Described best estimate computing unit is according to described Back ground Information and associated match relation, automatically judge correlative relationship, the deletion between each input quantity or merge and produce relevant input quantity, calculating relative coefficient and covariance, after judging the processing end of the correlative relationship between described input quantity, described calculation element automatically generates new measured mathematical model, calculates the sensitivity coefficient of measured best estimate and each input quantity correspondence automatically, generates uncertainty source cause-and-effect diagram trunk and branch automatically; Described uncertainty source analysis processing unit carries out intellectual analysis to the uncertainty source of each input quantity in the cause-and-effect diagram of described uncertainty source automatically according to described Back ground Information and associated match relation; Processing is simplified in the uncertainty source of repeating, after simplification disposes, will be generated new uncertainty source cause-and-effect diagram and uncertainty component summary sheet automatically; Described uncertainty component calculation unit is according to described Back ground Information and associated match relation, and the uncertainty source of each input quantity of determining of described uncertainty source analysis processing unit, automatically judge each input quantity in the described uncertainty component summary sheet distribution pattern, comprise the factor, uncertainty evaluation method, and, standard uncertainty poor according to the experimental standard that rate the process corresponding in the basic information collection unit obtains each component automatically and degree of freedom according to described uncertain assessment method; Described synthetic variance expression formula generation unit generates measured synthetic variance expression formula automatically according to described Back ground Information and associated match relation; Described expanded uncertainty computing unit is according to described Back ground Information and associated match relation, according to relevant information in described measured synthetic variance expression formula and the uncertainty component summary sheet, calculate measured combined standard uncertainty, effective degree of freedom automatically; Distribution pattern, comprise the factor and expanded uncertainty.
Further, described calculation element also comprises: authentication unit, and it is used for the checking that experimentizes of the degree of reliability to described measurement result, thus whether the uncertainty evaluation of judging measurement result is reasonable.
Further, described calculation element also comprises: described report generation unit is used to generate the evaluation of uncertainty in measurement report.
Further, described basic information collection unit comprise that meter utensil title management subelement, equipment control subelement, measurement verification regulations or calibrating standard management subelement, uncertainty of measurement are come the source control subelement, comprised factor management subelement, degree of freedom management subelement, uncertainty of measurement synthetic distribute estimate in management subelement, mathematical model management subelement, input quantity correlation information subelement, the evaluation of uncertainty in measurement method information subelement any one or multiple.
Further, described modeling unit selects to add correction term or modifying factor according to the linearity of described mathematical model, thereby mathematic(al) representation is revised.
The calculation element of the uncertainty of measurement among the present invention can be according to measurand, and in conjunction with the Back ground Information that is associated with it, quickly and accurately described measured uncertainty of measurement is calculated.
Description of drawings
Fig. 1 is the module map of the calculation element of uncertainty of measurement.
Fig. 2 is the type A evaluation process flow diagram.
Fig. 3 is the type B evaluation process flow diagram.
Embodiment
Below technical scheme of the present invention is elaborated.
As shown in Figure 1, the calculation element of the described uncertainty of measurement among the present invention comprises: basic information collection unit 101, Back ground Information associated match unit 102, modeling unit 103, best estimate computing unit 104, uncertainty source analysis processing unit 105, uncertainty component calculation unit 106, synthetic variance expression formula generation unit 107 and expanded uncertainty computing unit 108.
Described basic information collection unit 101 is used to gather the needed Back ground Information of described calculation element, and it comprises and the corresponding subelement of following various Back ground Informations.Described Back ground Information comprises: meter utensil name information, facility information, measurement verification regulations or calibrating standard information, uncertainty of measurement source-information, comprise the synthetic distributed intelligence of factor information, degree of freedom information, uncertainty of measurement, mathematical model information, input quantity correlation information, evaluation of uncertainty in measurement method information, preferably, described evaluation of uncertainty in measurement method information comprises type A evaluation method information and type B evaluation method information.
Described Back ground Information associated match unit 102 is used for setting up the associated match relation between each key element of described Back ground Information.Described associated match relation comprises: the measurement verification regulations of (1) measurand and institute's foundation or calibrating standard, and rules or standard in measured mathematic(al) representation, reach the mapping relations of the linearity of mathematic(al) representation.(2) linearity of all kinds of described mathematical model correspondences, select for use uncertainty of measurement type (absolute or relatively), measured synthetic variance expression formula, and the applicable elements of synthetic variance expression formula between mapping relations; (3) all kinds of described uncertainties of measurement source corresponding uncertain assessment method with it (type A evaluation method or type B evaluation method), distribution pattern, comprise the mapping relations of the factor; (4) applicable elements of type A evaluation method correspondence, the single measurement mapping relations of the data elimination method that peels off in poor, the measurement result of experimental standard experimental standard poor, mean value as a result; (5) mapping relations of described various type B evaluation method and corresponding uncertainty of measurement source thereof, distribution pattern, expanded uncertainty, standard uncertainty computing formula; (6) mapping relations of expanded uncertainty and testing equipment in the described various category-B class assessment method; (7) relative coefficient that the correlation type of input quantity is corresponding with it, the mapping relations between the covariance; (9) associated match of the degree of reliability of Data Source and degree of freedom relation.
Described modeling unit 103 is according to described Back ground Information and associated match relation, the linearity of the measurement verification regulations of auto-associating measurand institute foundation or calibrating standard, measured and mathematic(al) representation, mathematic(al) representation; Preferably, described modeling unit 103 can also be selected to add " correction term " or " modifying factor " according to the linearity of described mathematic(al) representation thereby mathematic(al) representation is revised; Preferably, when revising, selecting described " correction term " or " modifying factor " is " glass box " or "black box", if " glass box ", the mathematic(al) representation of interpolation " glass box ".After all corrections finish, generate measured mathematical model automatically.Preferably, described modeling unit 103 can also define input quantity and constant in the described measured mathematical model, and it still is the concrete numerical value of " mean value of measurement result ", each input quantity, the computing formula or the respective value of each constant that differentiation, the membership between each input quantity, each input quantity that comprises input quantity and constant belongs to " single measurement result ".
Described best estimate computing unit 104 is according to described Back ground Information and associated match relation, judge the correlative relationship between each input quantity, and automatically input quantity is merged the deletion processing, handle as merging deletion, further select relative coefficient, and calculate relative coefficient and covariance.After judging the disposing of correlative relationship between described each input quantity, described calculation element generates the measured best estimate and the sensitivity coefficient of each input quantity correspondence automatically, generates uncertainty source cause-and-effect diagram trunk and branch automatically.
Described uncertainty source analysis processing unit 105 carries out intellectual analysis according to described Back ground Information and associated match relation to the uncertainty of measurement source of each input quantity in the described mathematical model.Preferably, described uncertainty source analysis processing unit 105 can also be simplified processing to the uncertainty source of repeating.Preferably, after simplification disposes, will generate new uncertainty source cause-and-effect diagram and uncertainty component summary sheet automatically.
Uncertainty component calculation unit 106 is according to described Back ground Information and associated match relation, and the uncertainty of each input quantity of determining in described uncertainty of measurement source analysis unit source, the moving distribution pattern of judging each input quantity in the described uncertainty component summary sheet, comprise the factor, the uncertainty evaluation method, and (see Fig. 2 according to setting rate the process in the evaluation of uncertainty in measurement information in the basic information collection unit 101 according to described uncertain assessment method (type A evaluation method or type B evaluation method), it is poor Fig. 3) to obtain the experimental standard of each component automatically, standard uncertainty and degree of freedom; In carrying out the type B evaluation method as relate to uncertainty of measurement when source that causes because of equipment, should from described facility information, select.So that obtain device measuring uncertainty or the class of accuracy or the limits of error.Related degree of freedom information, the degree of reliability in judgment data source is to obtain the degree of freedom of described uncertainty of measurement.
Described synthetic variance expression formula generation unit 107 generates measured synthetic variance expression formula automatically according to described Back ground Information and associated match relation.Preferably, described synthetic variance expression formula generation unit 107 is by related described Back ground Information associated match unit 102, seeks the existing model that is complementary with described measured mathematical model, generates measured synthetic variance expression formula automatically.As finding the existing model that matches, launch by the uncertainty of measurement propagation rate formula automatically, and higher order term in the described uncertainty propagation rate formula is handled, obtain measured standard uncertainty.
Described expanded uncertainty computing unit 108 is used for calculating automatically measured combined standard uncertainty, effective degree of freedom; Distribution pattern, comprise the factor and expanded uncertainty.Preferably, described expanded uncertainty computing unit 108 is estimated information by synthetic distribution of uncertainty of measurement in the described basic information collection of the association unit 101, determine the factor that comprises of measured distribution pattern and correspondence, thereby calculate measured expanded uncertainty.
After obtaining measured expanded uncertainty, described authentication unit obtains the measuring equipment that indicates check standard in the described Back ground Information, and measure the measurement result of the measured value of the expanded uncertainty of gained and this uncertainty of measurement correspondence respectively with this measuring equipment and high one-level measurement standard, to the checking that experimentizes of the degree of reliability of its described measurement result, thereby whether the uncertainty evaluation of judging measurement result is reasonable.
Described report generation unit is used to generate the evaluation of uncertainty in measurement report.
The calculation element of the uncertainty of measurement among the present invention can be according to measurand, and in conjunction with the Back ground Information that is associated with it, quickly and accurately described measured uncertainty of measurement is calculated.
Claims (5)
1. the calculation element of a uncertainty of measurement comprises: basic information collection unit, Back ground Information associated match unit, modeling unit, best estimate computing unit, uncertainty source analysis processing unit, uncertainty component calculation unit, synthetic variance expression formula generation unit and expanded uncertainty computing unit;
Described basic information collection unit is used to gather the needed Back ground Information of described calculation element;
Described Back ground Information associated match unit is used for setting up the associated match relation between each key element of described Back ground Information;
Described modeling unit is set up measured mathematical model according to described Back ground Information and associated match relation;
Described best estimate computing unit is judged correlative relationship, the deletion between each input quantity or merges to produce relevant input quantity, calculating relative coefficient and covariance according to described Back ground Information and associated match relation automatically; After judging the processing end of the correlative relationship between described input quantity, described calculation element automatically generates new measured mathematical model, calculates the sensitivity coefficient of measured best estimate and each input quantity correspondence automatically, generates the trunk and the branch of uncertainty source cause-and-effect diagram automatically;
Described uncertainty source analysis processing unit carries out intellectual analysis to the uncertainty source of each input quantity in the cause-and-effect diagram of described uncertainty source automatically according to described Back ground Information and associated match relation; Processing is simplified in the uncertainty source of repeating, after simplification disposes, will be generated new uncertainty source cause-and-effect diagram and uncertainty component summary sheet automatically;
Described uncertainty component calculation unit is according to described Back ground Information and associated match relation, and the uncertainty of each input quantity of determining in described uncertainty source analysis processing unit source, automatically judge each input quantity in the described uncertainty component summary sheet distribution pattern, comprise the factor, uncertainty evaluation method, and, standard uncertainty poor according to the experimental standard that corresponding rate the process in the basic information collection unit obtains each component automatically and degree of freedom according to described uncertain assessment method;
Described synthetic variance expression formula generation unit generates measured synthetic variance expression formula automatically according to described Back ground Information and associated match relation;
Described expanded uncertainty computing unit is according to described Back ground Information and associated match relation, according to relevant information in described measured synthetic variance expression formula and the uncertainty component summary sheet, calculate measured combined standard uncertainty, effective degree of freedom automatically; Distribution pattern, comprise the factor and expanded uncertainty.
2. the calculation element of uncertainty of measurement as claimed in claim 1, it is characterized in that: described calculation element also comprises: authentication unit, it is used for the checking that experimentizes of the degree of reliability to described measurement result, thereby whether the uncertainty evaluation of judging measurement result is reasonable
3. the calculation element of uncertainty of measurement as claimed in claim 1 or 2, it is characterized in that: described calculation element also comprises: described report generation unit is used to generate the evaluation of uncertainty in measurement report.
4. the calculation element of uncertainty of measurement as claimed in claim 1 or 2 is characterized in that: described basic information collection unit comprises meter utensil title management subelement, the equipment control subelement, measurement verification regulations or calibrating standard management subelement, uncertainty of measurement is come the source control subelement, comprise factor management subelement, degree of freedom management subelement, the synthetic distribution of uncertainty of measurement estimated the management subelement, mathematical model management subelement, input quantity correlation information subelement, in the evaluation of uncertainty in measurement method information subelement any one or multiple.
5. as the calculation element of each described uncertainty of measurement of claim 1-4, it is characterized in that: described modeling unit selects to add correction term or modifying factor according to the linearity of described mathematical model, thereby mathematic(al) representation is revised.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102214322A (en) * | 2011-07-06 | 2011-10-12 | 上海海事大学 | Uncertainty estimation method suitable for probabilistic reasoning in graph model |
| CN102495947A (en) * | 2011-11-15 | 2012-06-13 | 中国计量科学研究院 | Method for expressing and analyzing uncertainty based on virtual reality technology |
| CN104392040A (en) * | 2014-11-20 | 2015-03-04 | 合肥工业大学 | Product inspection misjudgment rate computing method based on measurement uncertainty |
| CN104730481A (en) * | 2013-12-23 | 2015-06-24 | 是德科技股份有限公司 | Dynamically determining measurement uncertainty (mu) of measurement devices |
| CN106097151A (en) * | 2016-06-24 | 2016-11-09 | 清华大学 | A kind of method reducing power plant's data uncertainty based on data harmonization |
| CN109696586A (en) * | 2017-10-23 | 2019-04-30 | 中国电力科学研究院有限公司 | It is a kind of for testing the assessment method and system of electrical power distribution automatization system uncertainty |
| CN110161320A (en) * | 2019-05-31 | 2019-08-23 | 北京无线电计量测试研究所 | A kind of waveform widths uncertainty determines method and system |
| US10394643B2 (en) | 2017-08-16 | 2019-08-27 | National Instruments Corporation | Distributed run-time auto-calculation of measurement uncertainty |
| CN111433571A (en) * | 2017-11-30 | 2020-07-17 | 基斯特勒控股公司 | Method and computer program product for determining a measurement uncertainty of a measurement system |
| CN112923967A (en) * | 2021-05-10 | 2021-06-08 | 北京康斯特仪表科技股份有限公司 | Instrument calibration system supporting rapid assessment of instrument calibration uncertainty |
| CN113222459A (en) * | 2021-05-31 | 2021-08-06 | 中国测试技术研究院 | System and method for dynamically constructing food uncertainty evaluation model by expression tree |
| CN116303395A (en) * | 2023-03-08 | 2023-06-23 | 交通运输部公路科学研究所 | Online metering calibration verification method for intelligent monitoring system of highway infrastructure |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102214322A (en) * | 2011-07-06 | 2011-10-12 | 上海海事大学 | Uncertainty estimation method suitable for probabilistic reasoning in graph model |
| CN102214322B (en) * | 2011-07-06 | 2014-04-09 | 上海海事大学 | Uncertainty estimation method suitable for probabilistic reasoning in graph model |
| CN102495947A (en) * | 2011-11-15 | 2012-06-13 | 中国计量科学研究院 | Method for expressing and analyzing uncertainty based on virtual reality technology |
| CN104730481A (en) * | 2013-12-23 | 2015-06-24 | 是德科技股份有限公司 | Dynamically determining measurement uncertainty (mu) of measurement devices |
| US11543448B2 (en) | 2013-12-23 | 2023-01-03 | Keysight Technologies, Inc. | Dynamically determining measurement uncertainty (MU) of measurement devices |
| CN104730481B (en) * | 2013-12-23 | 2020-05-08 | 是德科技股份有限公司 | Dynamically determining measurement uncertainty of a measurement device |
| CN104392040A (en) * | 2014-11-20 | 2015-03-04 | 合肥工业大学 | Product inspection misjudgment rate computing method based on measurement uncertainty |
| CN104392040B (en) * | 2014-11-20 | 2018-12-07 | 合肥工业大学 | A kind of examination and test of products False Rate calculation method based on uncertainty of measurement |
| CN106097151A (en) * | 2016-06-24 | 2016-11-09 | 清华大学 | A kind of method reducing power plant's data uncertainty based on data harmonization |
| CN106097151B (en) * | 2016-06-24 | 2019-09-20 | 清华大学 | A method of the reduction power plant data uncertainty based on data harmonization |
| US10394643B2 (en) | 2017-08-16 | 2019-08-27 | National Instruments Corporation | Distributed run-time auto-calculation of measurement uncertainty |
| CN109696586A (en) * | 2017-10-23 | 2019-04-30 | 中国电力科学研究院有限公司 | It is a kind of for testing the assessment method and system of electrical power distribution automatization system uncertainty |
| CN111433571A (en) * | 2017-11-30 | 2020-07-17 | 基斯特勒控股公司 | Method and computer program product for determining a measurement uncertainty of a measurement system |
| CN111433571B (en) * | 2017-11-30 | 2022-06-28 | 基斯特勒控股公司 | Method and computer program product for determining a measurement uncertainty of a measurement system |
| CN110161320B (en) * | 2019-05-31 | 2021-08-06 | 北京无线电计量测试研究所 | Method and system for determining waveform width uncertainty |
| CN110161320A (en) * | 2019-05-31 | 2019-08-23 | 北京无线电计量测试研究所 | A kind of waveform widths uncertainty determines method and system |
| CN112923967A (en) * | 2021-05-10 | 2021-06-08 | 北京康斯特仪表科技股份有限公司 | Instrument calibration system supporting rapid assessment of instrument calibration uncertainty |
| CN113222459A (en) * | 2021-05-31 | 2021-08-06 | 中国测试技术研究院 | System and method for dynamically constructing food uncertainty evaluation model by expression tree |
| CN116303395A (en) * | 2023-03-08 | 2023-06-23 | 交通运输部公路科学研究所 | Online metering calibration verification method for intelligent monitoring system of highway infrastructure |
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Application publication date: 20110504 |