CN107621298A - A kind of intelligent gas meter kinematic error remote calibration method - Google Patents
A kind of intelligent gas meter kinematic error remote calibration method Download PDFInfo
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Abstract
The present invention relates to a kind of intelligent gas meter kinematic error remote calibration method, concretely comprise the following steps:(1) intelligent gas meter cluster is installed to form tree topology;(2) the flow conservation basic model of the intelligent gas meter cluster is obtained;(3) pipeline loss error is corrected, introduces virtual tributary dynamic corrections intelligent gas meter cluster topology model, obtains flow conservation algorithm model;(4) the gas flow incremental data of multiple intelligent gas meter cluster is obtained, calculates relative error;(5) Evaluation of Uncertainty is carried out to result of calculation;(6) error calculation result is drawn.The present invention can effectively reduce marketing operation cost, the consumption of the resources such as personnel in checking procedure, vehicle, equipment can be greatly decreased, also, by realizing that remote verification can realize the accurate replacing to intelligent fault gas meter, flow meter, the quantity of tearing open back of fault-free intelligent gas meter will be reduced, it is green;Procurement payment is saved, enterprise's O&M cost is greatly reduced, realizes upgrading synergy, there is significant economic benefit and social benefit.
Description
Technical field
The invention belongs to gas metering field, especially a kind of intelligent gas meter kinematic error remote calibration method.
Background technology
The hot issue that operating metering device accuracy is resident all the time and Guo Wang companies most pay close attention to.At present,
Generally use can be used to realize that intelligent gas meter is run using the means such as statistical analysis technique or addition online detection instrument
The supervision and evaluation of error.Although statistical analysis method changes over resident, single-phase intelligent gas meter, flow meter is taken out by rotating at regular intervals
Inspection, but still be the control to overall batch;Will be that enterprise brings buying, maintenance cost by adding on-line monitoring equipment
Increase, this method maintenance cost is high and has limitation.
By retrieving, the disclosed patent document of analogous technical is not found.
The content of the invention
It is an object of the invention in place of overcome the deficiencies in the prior art, there is provided a kind of intelligent gas meter kinematic error is long-range
Calibration method.
The present invention solves its technical problem and takes following technical scheme to realize:
A kind of intelligent gas meter kinematic error remote calibration method, it is characterised in that:This method concretely comprises the following steps:
(1) intelligent gas meter cluster is installed to form tree topology, can remotely obtain in the intelligent gas meter cluster
Summary table and each point of flow-meter data;
(2) the tree topology formed according to intelligent gas meter cluster, the flow conservation of the intelligent gas meter cluster is obtained
Basic model;
(3) line loss error is corrected, virtual tributary dynamic corrections intelligent gas meter cluster topology model is introduced, repaiies simultaneously
Positive flow conservation basic model, obtain flow conservation algorithm model;
(4) the current increment data of multiple intelligent gas meter cluster are obtained, by the combustion gas of the intelligent gas meter cluster got
Flow increment data substitute into flow conservation algorithm model, calculate relative error;
(5) result of calculation is modified and Evaluation of Uncertainty;
(6) error calculation result is drawn.
Moreover, the virtual tributary replaces the failure values sum of circuit consume, the virtual tributary includes Virtual Intelligent combustion gas
Table and dummy load.
Moreover, the first flow conservation basic model is:Y ε=- η.
Moreover, the outflow of the virtual tributary is cluster summary table M0Reading increment subtract each point of table Mj(j=1 ..., n)
Sum, and by this value be multiplied by one by empirical value judge loss factor;After adding virtual tributary, revised energy is kept
Permanent algorithm model isα is amendment experience.
Moreover, the method for solving of the revised flow conservation algorithm model is:
The gas flow incremental data of the intelligent gas meter cluster of m=n-1 times is obtained, substitutes into flow conservation algorithm model,
Wherein,yiFor ith measurement result vector;ε=(ε1 ε2 …
εn-1)T;η=(y1,0ε0-α(y1,0x1,n) y2,0ε0-α(y2,0x2,n) … yn-1,0ε0-α(y1,0xn-1,n))T;
To solve equation group, matrix Y is done into LU and decomposes Y=LU, z=U ε is made, equation group Lz=- η is obtained, under being due to L
Triangle battle array, easily solves z;Again because U is upper triangular matrix, ε is easily solved, and then obtain relative error δj。
Moreover, (4) the step obtains the gas flow incremental data of multiple intelligent gas meter cluster, before the computation, need
Data prediction is carried out to continuous data storehouse, filter out the stronger data of independence;The step of the method for the data prediction
Suddenly it is followed successively by:Real-time test, data integrity inspection, data integration, lacuna processing, data analysis note abnormalities data with
And orthogonality is examined.
Moreover, the computational methods of the Evaluation of Uncertainty:In the case of given initial experience value α=0, intelligence is calculated
Energy gas meter, flow meter cluster error condition, if the result of calculation meets confidence level requirement, that is, the overproof intelligent gas meter quantity calculated
Less than in prescribed limit, then the algorithm terminates;Otherwise α value section is adjusted upward, returns to Algorithm for Solving.
The advantages and positive effects of the present invention are:
1st, this method utilizes flow conservation principle and big data analytical technology, is not adding standard device, is not changing meter
Structure, in the case of not changing intelligent gas meter cluster topology, realize the long-range inspection of magnanimity on-line operation intelligent gas Watch Error
Survey.
2nd, this method establishes the amendment topological model based on virtual tributary, realizes on-line operation intelligent gas meter error measure
Reliability 100%, more lean intelligent gas meter is instructed more to change jobs.
3rd, the big data Predicting Technique of this method combination intelligent gas meter error change trend, before the appearance of overproof problem
User's unaware can be completed to change the outfit operation, remove a hidden danger, avoid the occurrence of unnecessary metering accuracy dispute.
4th, the present invention can effectively reduce marketing operation cost, and the money such as personnel in checking procedure, vehicle, equipment can be greatly decreased
The consumption in source, save marketing maintenance O&M cost;Also, by realizing that remote verification can be realized to intelligent fault gas meter, flow meter
Accurate replacing, will reduce fault-free intelligent gas meter tears back quantity open, green;Procurement payment is saved, enterprise is greatly reduced
Industry O&M cost, upgrading synergy is realized, there is significant economic benefit and social benefit.
5th, the full data sample mode of thinking of present invention utilization, mined information acquisition system magnanimity computer data, without
External perimysium reference instrument, carry out intelligent gas meter remote verification technical research so that can understand intelligent combustion in real time for electricity consumption both sides
The accuracy of gas meter metering device, meet the client's property it is expected demand, lifting incorporated business image.
Brief description of the drawings
Fig. 1 is remote verification flow chart of the present invention;
Fig. 2 is intelligent gas meter cluster schematic diagram under tree topology;
Fig. 3 is the intelligent gas meter cluster schematic diagram for introducing virtual tributary;
Fig. 4 is Measurement reliability R (t) change schematic diagrams.
Embodiment
Below in conjunction with the accompanying drawings and the invention will be further described by specific embodiment, and following examples are descriptive
, it is not limited, it is impossible to which protection scope of the present invention is limited with this.
A kind of intelligent gas meter kinematic error remote calibration method, this method concretely comprise the following steps:
(1) intelligent gas meter cluster is installed to form tree topology, can remotely obtain in the intelligent gas meter cluster
Summary table and each point of flow-meter data;
(2) the tree topology formed according to intelligent gas meter cluster, the flow conservation of the intelligent gas meter cluster is obtained
Basic model;
(3) line loss error is corrected, virtual tributary dynamic corrections intelligent gas meter cluster topology model is introduced, repaiies simultaneously
Positive flow conservation basic model, obtain flow conservation algorithm model;
(4) the current increment data of multiple intelligent gas meter cluster are obtained, by the combustion gas of the intelligent gas meter cluster got
Flow increment data substitute into flow conservation algorithm model, calculate relative error;
(5) result of calculation is modified and Evaluation of Uncertainty;
(6) error calculation result is drawn.
This method obtains gas flow incremental data, passes through algorithm computational intelligence gas meter, flow meter by gas flow is freezed day
Error, realize the real-time remote monitoring to intelligent gas Watch Error.Using intelligent gas meter acquisition system meter reading data to intelligence
Gas meter, flow meter carries out remote calibration.
The cluster formed after intelligent gas meter installation has tree topology.Therefore about fixed in flow conservation, the same period
The actual flow increment of interior summary table is equal to the actual flow increment sum of each point of table.Because actual flow increment can be increased with reading
Amount represents with relative error, therefore can obtain an equation comprising all meter reading increments and relative error.If
Know the relative error (can by single table detect obtain) of any one instrument in cluster using the relative error of other instrument as
Unknown quantity, and notice the quantity that by increasing measurement period equation can be made to meet or exceed unknown number, then Ke Yitong
Cross and solve the relative error that equation group determines other instrument.The autonomous type algorithm mutually compares meter by cluster internal instrument
Error is calculated, without external perimysium reference instrument.
When tree topology flow tube, which exists, to be leaked, it is necessary to which equation group is modified.In flow measurement, leakage is shown as
Pipeline gas leakage, valve loss and gas meter, flow meter power consumption.In the method, it is lossy be considered as the load of virtual tributary, and draw
Enter Virtual Intelligent gas meter, flow meter.Using the parameter measurement function of intelligent gas meter, loss correction item is determined.Provide revised calculation
Method flow and simulation result.
For the ease of clearly describing this method, provide be defined as below first:
Stream:Flow in or out a certain occluding surface S scalar (shown in Fig. 2 arrows).It is negative to flow into just, to flow out.Convection current
Do following agreement:Stream will not be accumulated and any moment is in compliance with law of conservation.I.e. through any enclosed curved surface S current algebra and wait
In zero.Stream is with the integer mark since 0.
Broad sense flow:Abbreviation flow, flow the integration to the time.Flow conservation can be released by stream conservation.That is random time
In section, the flow increment algebraical sum through occluding surface S is equal to zero.
Intelligent gas meter:Abbreviation flow instrument or flowmeter (M in Fig. 20~M4), record the corresponding instantaneous delivery flowed.Stream
Gauge is with MjMark, j are the numbering of corresponding stream.
Cluster:Through the set of the flow instrument corresponding to a certain occluding surface S all streams.
Meter reading:Obtain the reading of all instrument in a certain moment cluster.In logic, it is identical should to return to each instrument for meter reading action
The reading at moment.If but in fact, each meter reading return time interval it is short enough, be regarded as mutually in the same time.
Measurement:One-shot measurement is the meter reading twice to cluster certain interval of time, the result is that the increasing of front and rear reading twice
Amount.
First, flow conservation ideally:
Relative error δ:
Wherein x is the actual increment by the flow of certain instrument in a period of time, and y is the instrument in the same period
The increment of reading.
Certain occluding surface S defines flow instrument cluster AS={ Mj| stream j passes through occluding surface S }, flow instrument in cluster
Number NS=n.If flowmeter MjIth measurement result is yij, corresponding actual value is xij.Wherein i=1,2 ..., m, m
For pendulous frequency.Had according to flow conservation agreement
If δjRepresent flowmeter MjRelative error, then by definition save relative error definition can obtain
(2) formula is substituted into, is hadSet up.Without loss of generality, it is assumed that δ0, it is known that then have
Order
(3) formula of substitution has
(5) formula can be write as matrix form
Y ε=- η (6)
Wherein
yiFor instrument M1~Mn-1The result vector of ith measurement.
ε=(ε1 ε2 … εn-1)T, η=(y1,0ε0 y2,0ε0 … ym,0ε0)T。
(6) formula shows, if in known cluster a certain instrument relative error δ0, then multigroup survey of all instrument can be passed through
Amount result extrapolates the relative error δ of other each instrumentj, j=1,2 ..., n-1.
2nd, virtual tributary computed losses are added:
Loss (intelligent gas meter loss, leakage loss, line resistance loss etc.) be present in actual intelligent gas meter cluster,
We introduce the concept of virtual tributary, instead of the loss value sum being the theme in problem with line loss.The branch road includes virtual
Intelligent gas meter and dummy load.Cluster total losses can be equivalent to the energy consumption of dummy load.In figure 3, imaginary occluding surface
S defines an intelligent gas meter cluster, and intelligent gas meter is with symbol Mj(j=0,1 ..., n) represent.MnFired for Virtual Intelligent
Gas meter.Agreement flows into S energy as just, it is negative to flow out.
It is located at ith measurement period TiInside flow through MjElectric energy be xi,j(i=1,2 ..., m, to identify each measurement period
Sequence number;M is pendulous frequency), then following formula establishment is had according to law of conservation of energy.
It has been generally acknowledged that in the ith measurement period, MjReading increment yi,jWith xi,jWith following relation.
yi,j=(1+ δj)xi,j (10)
(10) in formula, δjFor Mj(average) relative error.If order
Then (11) formula can turn to
Without loss of generality, it is assumed that known M0Relative error δ0, so as to understand ε0.Provide Virtual Intelligent gas meter, flow meter MnPhase
To error deltan=0, so as to there is εn=1 and xi,n=yi,nSet up.Therefore (2-22) formula turns to
3rd, the expression being lost in virtual tributary
(13) Section 3 x in the left side in formulai,nRepresent measurement period TiThe energy consumption (the total loss of cluster) of interior dummy load,
(17) formula and (19) formula equation group are all energy conservation equation group.They show on the premise of the conservation of energy, if known cluster
The relative error δ of interior a certain instrument0, it is likely that pass through multigroup measurement result yi,jExtrapolate other all intelligent gas meters
εj, and then obtain relative error δj(j=1,2 ..., n-1).In actually calculating, the outflow of virtual tributary is cluster summary table M0
Reading increment subtract each point of table MjThe sum of (j=1 ..., n), and this value is multiplied by a loss judged by empirical value
Coefficient.Energy loss of the loss factor as intelligent gas meter cluster, tried to achieve by loop iteration method described below.
On the other hand, after adding virtual tributary, equation respective change isα is amendment experience,
It is a range of random value.
Data screening:
This method from power information acquisition system firstly the need of intelligent gas meter correlation meter reading data is obtained, by filling up
Missing data, abnormal data, smooth noise data are eliminated, and correct inconsistent data, removed the noise in data, fill
Null value, missing value and processing inconsistent data, so as to obtain valid data.
We need to obtain the measurement result of all meters in whole tree-structured system first, and measurement together has not
In the case of deterministic, we can more acquisition data as far as possible, to ensure the accuracy of the result under rational calculation error
With completeness requirement.Data volume minimum should add one not less than ammeter quantity.Data screening has the following steps:1. real-time inspection.
2. integrity checking and missing values processing.3. method for visualizing notes abnormalities, the orthogonality of data 4. is examined
Real-time inspection:Whether we check same group of meter meter reading value in same time point copy reading.If it is unsatisfactory for this
It is required that data can not use.
Data integration:Data integration is on the basis of original meter reading data, and intelligent gas meter meter reading data is added to
In the meter history meter reading data.
Integrity checking and missing values processing:We need to carry out integrity checking to data first.Integrity checking
Groundwork is missing values processing.For missing values processing, traditional method has a direct deletion, or using average value, intermediate value,
Quantile, mode, random value etc. substitute.It is general so to do effect, because being modified equal to people to data.We use
Method give a forecast model by history error and other margins of error to calculate missing values, be added to algorithm after calculating missing values
Whether middle to carry out secondary checking, judging the situation of missing values can meet that missing requires.Specifically, if in one group of data
Missing values are more, and missing amount is excessive, and we directly can fall the rejection of data, right because if larger noise can be produced by introducing
As a result have undesirable effect.Empirically value judges, if missing values are more than 10%, we are more likely to wait more meter readings
Data.If can meet to require, missing gathered data intelligent gas meter reading is added to the power consumption of virtual tributary by we first
In, use master mould computational intelligence gas meter, flow meter error condition.If data are maintained at added to result of calculation after virtual tributary renewal
Within zone of reasonableness, we deduct line loss logarithm further according to the average line loss experience accounting of the taiwan area from the electricity of virtual tributary
According to being filled.After filling, error condition is recalculated using the form of filling, other meters change twice is little if meeting
And the condition that missing meter and history calculated value deviation is little, we are considered as the filling of its result correctly.Without loss of generality, we
Using missing values intelligent gas meter as table 1, in the case where pendulous frequency m is not less than n-1, (14) formula is write as matrix form
Y ε=- η ' (15)
WhereinyiFor ith measurement result vector;ε=(ε2 ε3 …
εn-1)T;η '=η-y·1=(y1,0ε0-α(y1,0x1,n)-y11 y2,0ε0-α(y2,0x2,n)-y12 …yn-1,0ε0-α(y1,0xn-1,n)-
y1n)T.By mentioned earlier, similarly equation (15) can solve.If ε=(ε2 ε3 … εn-1)TMeet the requirement, then equation closes
Reason, recovers the result according to virtual tributary value.
Data analysis notes abnormalities data (by visualization tool):Using the daily meter reading data of intelligent gas meter as one
Vector, then multigroup copy reading can form a Vector Groups.In multidimensional data analysis technology, by the way that each vector is visual
Change and represent, therefrom find out the special vector changed extremely., can be with using Crystal Analysis visualization tool method
It was found that the special point value that peels off, special analysis are done to this point value, data monitoring is further enhanced, optimizes core data.It is in addition, sharp
The vector clusters are analyzed with clustering algorithm, as a kind of special discovery to be noted abnormalities in visable representation in data basis
Method.
Orthogonality is examined:Error analysis algorithm requires there is weak dependence between each equation of equation group, and otherwise equation group is in disease
State causes error calculated to exceed tolerance interval.When meeting enough requirements, equation can just calculate.
Computational methods:Intelligent gas Watch Error iterative calculation method based on uncertainty of measurement
What it is due to this method measurement is intelligent gas meter mean error interior for a period of time, and the result of measurement is simply measured
Estimate, the uncertain factor in measurement process can cause the uncertainty of measurement.Repaiied for known systemic effect
The estimate that measurement result after just is still simply measured, considers Evaluation of Uncertainty method, and guarantee makes incomplete preferable
Reproduction or representativeness of sample not enough wait in the case of, measure still can reflect truth.
Iterative method is a kind of process being constantly newly worth with the old value recursion of variable, and iterative algorithm is a kind of base solved the problems, such as
This method.Its basic thought is to release the new value of its one from the initial value of variable.In our method, iteration is applied to
Estimation to virtual circuit amendment experience α.
Provide hypothesis first herein:The quantity of the overproof table of error is less than the 5% of summary table quantity in a taiwan area, is me
Think the reliability of measurement instrument 95%.
In general, the reliability of measurement instrument can be increased over time and reduced, therefore for the ratio in difference
Taiwan area we perform the calibrating reliability objectives scope of floating.Fig. 4 is Measurement reliability and the change schematic diagram of time.According to
The average usage time length situation of meter in taiwan area, we are modified to the value.
Our method is summarized as follows:In the case of given initial experience value α=0, computational intelligence gas meter, flow meter cluster
Error condition, if the result of calculation meets confidence level requirement, that is, the overproof intelligent gas meter quantity calculated is less than prescribed limit
Interior, then the algorithm terminates.Otherwise α value section is adjusted upward, returns to Algorithm for Solving.
Joint Evaluation of Uncertainty method:
Mathematical modeling:δ=1/ (Y-1η)-1
Due to Y, η meets independence, then has:
So we have joint expanded uncertainty U=kucK=2 is taken, is had:
If the intelligent gas Watch Error solved meets actual desired, independent repeated measures then are carried out to being measured, are passed through
A series of resulting measured values, experimental standard deviation s (x) is obtained with statistical analysis technique, when being used as quilt by the use of arithmetic mean of instantaneous value
When measuring estimate, the uncertainty of estimate is measured by calculating:
Using Bessel Formula method, it is measured independent repeated measures n time to same under the conditions of repeatability, obtains n and survey
Obtain value xi=(i=1,2 ..., n), the best estimate for being measured X is the arithmetic average of n independent measured valuesBy as follows
Formula calculates:
Single measured value xkExperimental variance s2(x):
Single measured value xkExperimental standard deviation s (x):
It is measured estimateUncertainty
Although disclosing embodiments of the invention and accompanying drawing for the purpose of illustration, those skilled in the art can manage
Solution:Do not departing from the present invention and spirit and scope of the appended claims in, it is various replace, change and modifications all be it is possible,
Therefore, the scope of the present invention is not limited to embodiment and accompanying drawing disclosure of that.
Claims (7)
- A kind of 1. intelligent gas meter kinematic error remote calibration method, it is characterised in that:This method concretely comprises the following steps:(1) intelligent gas meter cluster is installed to form tree topology, can remotely obtain the summary table in the intelligent gas meter cluster And each point of flow-meter data;(2) the tree topology formed according to intelligent gas meter cluster, the flow conservation basis of the intelligent gas meter cluster is obtained Model;(3) pipeline loss error is corrected, introduces virtual tributary dynamic corrections intelligent gas meter cluster topology model, while correct stream Conservation basic model is measured, obtains flow conservation algorithm model;(4) the current incremental data of multiple intelligent gas meter cluster is obtained, by the gas flow of the intelligent gas meter cluster got Incremental data substitutes into flow conservation algorithm model, calculates relative error;(5) Evaluation of Uncertainty is carried out to result of calculation;(6) error calculation result is drawn.
- 2. intelligent gas meter kinematic error remote calibration method according to claim 1, it is characterised in that:The virtual branch Road replaces the failure values sum of circuit consume, and the virtual tributary includes Virtual Intelligent gas meter, flow meter and dummy load.
- 3. intelligent gas meter kinematic error remote calibration method according to claim 1, it is characterised in that:The flow is kept Permanent basic model is:Y ε=- η.
- 4. intelligent gas meter kinematic error remote calibration method according to claim 1, it is characterised in that:The virtual branch The outflow on road is cluster summary table M0Reading increment subtract each point of table MjThe sum of (j=1 ..., n), and this value is multiplied by one The loss factor judged by empirical value;After adding virtual tributary, revised conservation of energy algorithm model isα is amendment experience.
- 5. intelligent gas meter kinematic error remote calibration method according to claim 1, it is characterised in that:After the amendment The method for solving of flow conservation algorithm model be:The gas flow incremental data of the intelligent gas meter cluster of m=n-1 times is obtained, substitutes into flow conservation algorithm model, wherein,yiFor ith measurement result vector;ε=(ε1 ε2 … εn-1)T;η= (y1,0ε0-α(y1,0x1,n) y2,0ε0-α(y2,0x2,n) … yn-1,0ε0-α(y1,0xn-1,n))T;To solve equation group, matrix Y is done into LU and decomposes Y=LU, z=U ε is made, obtains equation group Lz=- η, because L is lower triangle Battle array, easily solves z;Again because U is upper triangular matrix, ε is easily solved, and then obtain relative error δj。
- 6. intelligent gas meter kinematic error remote calibration method according to claim 1, it is characterised in that:The step is (4) The gas flow incremental data of multiple intelligent gas meter cluster is obtained, before the computation, it is necessary to carry out data to continuous data storehouse Pretreatment, filters out the stronger data of independence;The step of method of the data prediction, is followed successively by:Real-time test, number According to integrity checking, data integration, lacuna processing, data analysis notes abnormalities data and orthogonality is examined.
- 7. intelligent gas meter kinematic error remote calibration method according to claim 1, it is characterised in that:It is described uncertain Spend the computational methods of evaluation:In the case of given initial experience value α=0, computational intelligence gas meter, flow meter cluster error condition, if The result of calculation meets confidence level requirement, that is, the overproof intelligent gas meter quantity calculated is less than in prescribed limit, then the algorithm Terminate;Otherwise α value section is adjusted upward, returns to Algorithm for Solving.
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