CN107677343A - A kind of intellectual water meter kinematic error remote calibration method - Google Patents
A kind of intellectual water meter kinematic error remote calibration method Download PDFInfo
- Publication number
- CN107677343A CN107677343A CN201710788675.0A CN201710788675A CN107677343A CN 107677343 A CN107677343 A CN 107677343A CN 201710788675 A CN201710788675 A CN 201710788675A CN 107677343 A CN107677343 A CN 107677343A
- Authority
- CN
- China
- Prior art keywords
- water meter
- intellectual water
- data
- cluster
- error
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F25/00—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume
- G01F25/10—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume of flowmeters
Abstract
It is the present invention relates to a kind of intellectual water meter kinematic error remote calibration method, the step of this method：This method concretely comprises the following steps：(1) intellectual water meter cluster is installed to form tree topology；(2) the flow conservation basic model of the intellectual water meter cluster is obtained；(3) virtual tributary dynamic corrections intellectual water meter cluster topology model is introduced, obtains flow conservation algorithm model；(4) the current incremental data of multiple intellectual water meter cluster is obtained, calculates relative error；(5) result of calculation is modified and Evaluation of Uncertainty；(6) error calculation result is drawn.This method utilizes flow conservation principle and big data analytical technology, in the case where not adding standard device, do not change meter structure, do not change intellectual water meter cluster topology, realizes the remote detection of magnanimity on-line operation intellectual water meter error.
Description
Technical field
The invention belongs to water meter measurement field, especially a kind of intellectual water 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 intellectual water meter kinematic error using the means such as statistical analysis technique or addition online detection instrument
Supervision and evaluation.Although statistical analysis method change over resident's single-phase intelligent water meter by rotate at regular intervals for sampling observation, but still
It is the control to overall batch；Will be that enterprise brings buying, the increase of maintenance cost, the party by adding on-line monitoring equipment
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 long-range school of intellectual water meter kinematic error
Quasi- method.
The present invention solves its technical problem and takes following technical scheme to realize：
A kind of intellectual water meter kinematic error remote calibration method, it is characterised in that：This method concretely comprises the following steps：
(1) intellectual water meter cluster is installed to form tree topology, can remotely obtain the summary table in the intellectual water meter cluster
And each point of flow-meter data；
(2) the tree topology formed according to intellectual water meter cluster, the flow conservation basis of the intellectual water meter cluster is obtained
Model；
(3) line loss error is corrected, virtual tributary dynamic corrections intellectual water meter cluster topology model is introduced, corrects simultaneously
Flow conservation basic model, obtain flow conservation algorithm model；
(4) the current incremental data of multiple intellectual water meter cluster is obtained, by the current increment of the intellectual water meter cluster got
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 water meter
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 flow conservation
Algorithm model isα is amendment experience.
Moreover, the method for solving of the revised flow conservation algorithm model is：
The current incremental data of the intellectual water 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 current incremental data of multiple intellectual water meter cluster, before the computation, it is necessary to meter
Measure database and carry out data prediction, filter out the stronger data of independence；The step of method of the data prediction, is successively
For：Real-time test, data integrity inspection, data integration, lacuna processing, data analysis note abnormalities data and orthogonality
Examine.
Moreover, the computational methods of the Evaluation of Uncertainty：In the case of given initial experience value α=0, intelligence is calculated
Energy water meter cluster error condition, if the result of calculation meets confidence level requirement, that is, the overproof intellectual water meter quantity calculated is 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 intellectual water meter cluster topology, realize the remote detection of magnanimity on-line operation intellectual water meter error.
2nd, this method establishes the amendment topological model based on virtual tributary, realizes that on-line operation intellectual water meter error measure can
By property 100%, more lean intellectual water meter is instructed more to change jobs.
3rd, the big data Predicting Technique of this method combination intellectual water meter error change trend, before the appearance of overproof problem i.e.
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 realize the essence to intelligent fault water meter
Standard is changed, and will reduce the quantity of tearing open back of fault-free intellectual water meter, green；Procurement payment is saved, enterprise's O＆M is greatly reduced
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 intellectual water meter remote verification technical research so that whose both sides can understand intellectual water meter in real time for
The accuracy of 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 intellectual water meter cluster schematic diagram under tree topology；
Fig. 3 is the intellectual water 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 intellectual water meter kinematic error remote calibration method, this method concretely comprise the following steps：
(1) intellectual water meter cluster is installed to form tree topology, can remotely obtain the summary table in the intellectual water meter cluster
And each point of flow-meter data；
(2) the tree topology formed according to intellectual water meter cluster, the flow conservation basis of the intellectual water meter cluster is obtained
Model；
(3) line loss error is corrected, virtual tributary dynamic corrections intellectual water meter cluster topology model is introduced, corrects simultaneously
Flow conservation basic model, obtain flow conservation algorithm model；
(4) the current incremental data of multiple intellectual water meter cluster is obtained, by the current increment of the intellectual water meter cluster got
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 water-carrying capacity incremental data, by algorithm computational intelligence water meter error, realized by day freezing water quantity
To the real-time remote monitoring of intellectual water meter error.Long-range school is carried out to intellectual water meter using intellectual water meter acquisition system meter reading data
It is accurate.
The cluster formed after intellectual water meter installation has tree topology.Therefore about fixed in flow conservation, in the same period
The actual flow increment of summary table is equal to the actual flow increment sum of each point of table.Due to actual flow increment can with reading increment with
Relative error represents, therefore can obtain an equation comprising all meter reading increments and relative error.If it is known that collection
The relative error (can be detected and obtained by single table) of any one instrument is using the relative error of other instrument as unknown in group
Amount, and notice the quantity that by increasing measurement period equation can be made to meet or exceed unknown number, then can be by asking
Solving equations determine the relative error of other instrument.The autonomous type algorithm is missed by the mutual contrast conting of cluster internal instrument
Difference, 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 leak, permeation losses and water meter power consumption.In the method, it is lossy be considered as the load of virtual tributary, and introduce
Virtual Intelligent water meter.Using the parameter measurement function of intellectual water meter, loss correction item is determined.Provide revised algorithm flow with
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.
Intellectual water meter：Abbreviation flow instrument or flowmeter (M in Fig. 20~M4), record the corresponding instantaneous delivery flowed.Flowmeter
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 (intellectual water meter loss, leakage loss, line resistance loss etc.) be present in actual intellectual water meter cluster, we
The concept of virtual tributary is introduced, instead of the loss value sum being the theme in problem with line loss.The branch road includes Virtual Intelligent
Water meter and dummy load.Cluster total losses can be equivalent to the energy consumption of dummy load.In Fig. 4-3, imaginary occluding surface S definition
One intellectual water meter cluster, intellectual water meter is with symbol Mj(j=0,1 ..., n) represent.MnFor Virtual Intelligent water meter.Agreement flows into
S energy is 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 water meter MnIt is relative
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 the ε of other all intellectual water metersj,
And then obtain relative error δj(j=1,2 ..., n-1).In actually calculating, the outflow of virtual tributary is cluster summary table M0Reading
Number increment subtracts each point of table MjThe sum of (j=1 ..., n), and this value is multiplied by a loss factor judged by empirical value.
Energy loss of the loss factor as intellectual water meter cluster, tried to achieve by loop iteration method described below.On the other hand, add
After virtual tributary, equation respective change isα is amendment experience, is certain limit
Interior random value.
Data screening：
This method is lost firstly the need of intellectual water meter correlation meter reading data is obtained from power information acquisition system by filling up
Leak data, eliminate abnormal data, smooth noise data, and correct inconsistent data, remove noise, filling sky in data
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 intellectual water meter meter reading data is added into this
In 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 direct deletion, or utilizes average value, intermediate value, divides
Digit, mode, random value etc. substitute.It is general so to do effect, because being modified equal to people to data.The side that we use
Method gives a forecast model to calculate missing values by history error and other margins of error, is added to after calculating missing values in algorithm and carries out
Whether secondary checking, judging the situation of missing values can meet that missing requires.Specifically, if in one group of data missing values compared with
More, missing amount is excessive, and we directly can fall the rejection of data, because if larger noise can be produced by introducing, result is caused
Harmful effect.Empirically value judges, if missing values are more than 10%, we are more likely to wait more meter reading datas.If energy
Meet to require, missing gathered data intellectual water meter reading is added in the power consumption of virtual tributary by we first, uses former mould
Type computational intelligence water meter error condition.If data are maintained within zone of reasonableness added to result of calculation after virtual tributary renewal,
We are further according to the average line loss experience accounting of the taiwan area, and deduction line loss is filled to data from the electricity of virtual tributary.Fill out
After filling, error condition is recalculated using the form of filling, if meeting other meters change twice less and lacking meter with going through
The little condition of history calculated value deviation, it is correct that we are considered as the filling of its result.Without loss of generality, we are by missing values intellectual water 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 intellectual water meter as one to
Amount, then multigroup copy reading can form a Vector Groups.In multidimensional data analysis technology, by by each vector visualization table
Show, therefrom find out the special vector changed extremely.Using CrystalAnalysis visualization tool method, it can be found that special
The different point value that peels off, special analysis are done to this point value, further enhance data monitoring, optimize core data.In addition, calculated using cluster
Method analyzes the vector clusters, as a kind of special discovery method to be noted abnormalities in visable representation in data basis.
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：Intellectual water meter error iterative calculation method based on uncertainty of measurement
What it is due to this method measurement is intellectual water 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.It is modified for known systemic effect
The estimate that measurement result afterwards is still simply measured, considers Evaluation of Uncertainty method, and guarantee makes not exclusively preferably
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 pair
Virtual circuit amendment experience α estimation.
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 platform
The average usage time length situation of meter in 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 water meter cluster misses
Poor situation, if the result of calculation meets confidence level requirement, that is, the overproof intellectual water meter quantity calculated is less than in prescribed limit, 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 intellectual water meter error solved meets actual desired, independent repeated measures then are carried out to being measured, pass through institute
A series of obtained measured values, with statistical analysis technique obtain experimental standard deviation s (x), when by the use of arithmetic mean of instantaneous value as be tested
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 following public affairs
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. intellectual water meter kinematic error remote calibration method, it is characterised in that：This method concretely comprises the following steps：(1) intellectual water meter cluster is installed to form tree topology, can remotely obtain summary table in the intellectual water meter cluster and each Divide flow-meter data；(2) the tree topology formed according to intellectual water meter cluster, the flow conservation basis mould of the intellectual water meter cluster is obtained Type；(3) pipeline loss error is corrected, introduces virtual tributary dynamic corrections intellectual water meter cluster topology model, while modified flow rate Conservation basic model, obtain flow conservation algorithm model；(4) the current incremental data of multiple intellectual water meter cluster is obtained, by the current flow increasing number of the intellectual water meter cluster got According to flow conservation algorithm model is substituted into, relative error is calculated；(5) Evaluation of Uncertainty is carried out to result of calculation；(6) error calculation result is drawn.
- 2. intellectual water meter kinematic error remote calibration method according to claim 1, it is characterised in that：The virtual tributary The failure values sum consumed instead of circuit, the virtual tributary include Virtual Intelligent water meter and dummy load.
- 3. intellectual water meter kinematic error remote calibration method according to claim 1, it is characterised in that：The flow conservation Basic model is：Y ε=- η.
- 4. intellectual water meter kinematic error remote calibration method according to claim 1, it is characterised in that：The virtual tributary Outflow be cluster summary table M0Reading increment subtract each point of table MjThe sum of (j=1 ..., n), and by this value be multiplied by one by The loss factor that empirical value judges；After adding virtual tributary, revised flow conservation algorithm model isα is amendment experience.
- 5. intellectual water meter kinematic error remote calibration method according to claim 1, it is characterised in that：It is described revised The method for solving of flow conservation algorithm model is：The current incremental data of the intellectual water 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. intellectual water meter kinematic error remote calibration method according to claim 1, it is characterised in that：(4) the step obtains The current incremental data of multiple intellectual water meter cluster is taken, before the computation, it is necessary to carry out data prediction, sieve to continuous data storehouse Select the stronger data of independence；The step of method of the data prediction, is followed successively by：Real-time test, data integrity inspection Look into, data integration, lacuna processing, note abnormalities data and orthogonality of data analysis is examined.
- 7. intellectual water meter kinematic error remote calibration method according to claim 1, it is characterised in that：The uncertainty The computational methods of evaluation：In the case of given initial experience value α=0, computational intelligence water meter cluster error condition, if the meter Calculate result and meet confidence level requirement, that is, the overproof intellectual water meter quantity calculated is less than in prescribed limit, then the algorithm terminates；It is no α value section is then adjusted upward, returns to Algorithm for Solving.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710788675.0A CN107677343A (en) | 2017-09-05 | 2017-09-05 | A kind of intellectual water meter kinematic error remote calibration method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710788675.0A CN107677343A (en) | 2017-09-05 | 2017-09-05 | A kind of intellectual water meter kinematic error remote calibration method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107677343A true CN107677343A (en) | 2018-02-09 |
Family
ID=61135289
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710788675.0A Pending CN107677343A (en) | 2017-09-05 | 2017-09-05 | A kind of intellectual water meter kinematic error remote calibration method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107677343A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108663101A (en) * | 2018-07-04 | 2018-10-16 | 福州研达自动化有限公司 | Intellectual water meter quick calibrating method |
| CN112424715A (en) * | 2018-08-23 | 2021-02-26 | 三菱动力株式会社 | Prediction device, prediction method, and program |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102340414A (en) * | 2010-09-15 | 2012-02-01 | 上海复展照明科技有限公司 | Construction layout-based topological system for data collection and implementation method thereof |
| CN103500496A (en) * | 2013-10-10 | 2014-01-08 | 华立仪表集团股份有限公司 | Electric power data multi-way communication system and multi-way centralized meter reading system |
| EP2728314A2 (en) * | 2012-11-08 | 2014-05-07 | Krohne Messtechnik GmbH | Measuring arrangement for determination of a measurement value |
-
2017
- 2017-09-05 CN CN201710788675.0A patent/CN107677343A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102340414A (en) * | 2010-09-15 | 2012-02-01 | 上海复展照明科技有限公司 | Construction layout-based topological system for data collection and implementation method thereof |
| EP2728314A2 (en) * | 2012-11-08 | 2014-05-07 | Krohne Messtechnik GmbH | Measuring arrangement for determination of a measurement value |
| CN103500496A (en) * | 2013-10-10 | 2014-01-08 | 华立仪表集团股份有限公司 | Electric power data multi-way communication system and multi-way centralized meter reading system |
Non-Patent Citations (1)
| Title |
|---|
| 郭景涛: "面向智能电网AMI的网络计量关键技术与用户用电数据挖掘研究", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108663101A (en) * | 2018-07-04 | 2018-10-16 | 福州研达自动化有限公司 | Intellectual water meter quick calibrating method |
| CN112424715A (en) * | 2018-08-23 | 2021-02-26 | 三菱动力株式会社 | Prediction device, prediction method, and program |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107621621A (en) | A kind of intelligent electric energy meter is in Line synthesis error calibration method | |
| CN107643507A (en) | A kind of lean line loss analyzing and management-control method based on power network line kinematic error remote calibration | |
| CN107657083A (en) | A kind of intellectual water meter is in Line synthesis error calibration method | |
| CN107561481A (en) | A kind of on-line operation intelligent electric energy meter error control method based on bulk sample notebook data thinking | |
| CN107818395A (en) | A kind of electric energy meter error iterative calculation method based on uncertainty of measurement | |
| CN107870312A (en) | A kind of intelligent electric energy meter kinematic error remote calibration method | |
| CN110471024B (en) | Intelligent electric meter online remote calibration method based on measurement data analysis | |
| CN106338706B (en) | A kind of methods, devices and systems of electric energy metering device global error detection | |
| CN107741578B (en) | Original meter reading data processing method for remote calibration of running error of intelligent electric energy meter | |
| Goulet et al. | Model falsification diagnosis and sensor placement for leak detection in pressurized pipe networks | |
| CN107703475A (en) | Check method during a kind of on-line operation intelligent electric energy meter | |
| CN110168339A (en) | The system and method for sub-network waterpower modeling | |
| CN107944652A (en) | A kind of broad sense flow instrument kinematic error remote calibration method | |
| CN107621298A (en) | A kind of intelligent gas meter kinematic error remote calibration method | |
| CN107727955A (en) | A kind of transformer loss analysis and management-control method based on power network line kinematic error remote calibration | |
| Cava et al. | Buoyancy and the sensible heat flux budget within dense canopies | |
| CN109376925A (en) | Water supply network node flow dynamic self-adapting optimization method | |
| CN103292966A (en) | Leak detection device | |
| CN108898252A (en) | A kind of prediction technique of whole nation troposphere Atmosphere Refractivity Profile | |
| CN107655549A (en) | A kind of intelligent gas meter is in Line synthesis error calibration method | |
| JP2016053250A (en) | Water leakage distribution estimation device | |
| CN107655593A (en) | A kind of intelligent calorimeter is in Line synthesis error calibration method | |
| Spedaletti et al. | Improvement of the energy efficiency in water systems through water losses reduction using the district metered area (DMA) approach | |
| CN107677343A (en) | A kind of intellectual water meter kinematic error remote calibration method | |
| Gu et al. | Accessibility-based vulnerability analysis of multi-modal transportation networks with weibit choice models |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180209 |
|
| RJ01 | Rejection of invention patent application after publication |