CN103808380B - A kind of flow fast tracking method for ultrasonic flow rate measuring instrument - Google Patents
A kind of flow fast tracking method for ultrasonic flow rate measuring instrument Download PDFInfo
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Abstract
The invention discloses a kind of flow fast tracking method for ultrasonic flow rate measuring instrument.It comprises the following steps: sampled value is sent to adaptive flow filtration module by flow detection module, adaptive flow filtration module judges fluid flow situation of change, and export specific flow value M to historical data buffer module and data on flows buffer module according to changes in flow rate situation, flow value is sent to airflow calculator by data on flows buffer module, historical data buffer module reads historical data, output stream value M, average flow rate valueAnd average frequency valueTo sampling speed-variable module, sampling speed-variable module calculates control frequency f and sends it to frequency control module, and frequency control module controls flow detection module and samples to control frequency f fluid flow.The present invention can fluid flow be tracked, and adjusts the sample frequency of flow detection module in real time according to the situation of change of fluid flow, reduces the error that integrated flux calculates, and reduces power consumption.
Description
Technical field
The present invention relates to fluid flow detection technique field, particularly relate to a kind of stream for ultrasonic flow rate measuring instrument
Amount fast tracking method.
Background technology
Flow-meter is divided into speed flowrate control instrument and integrated flux metering instrument.Speed flowrate control instrument is wide
The general control for process variable, it pays close attention to current flow speed (m/s), the such as industry such as food, medicine speed flowrate control
Instrument processed embeds production line, controls the flow speed of various formulated component, thus controls ratio, in such systems
The flow of medium is the most constant, and is external power supply, it is possible to go to measure more stable stream by higher sample frequency
Body, reaches higher measuring accuracy.The instrument such as the integrated flux metering instrument mainly metering water meter of cumulant, calorimeter.
New Ultrasonic water meter, ultrasonic heat meter, jet stream water meter and the fluidic heat meter released broadly fell into novel intelligent in recent years
Table.These flow base tables are periodically gathered the flow information of fluid by frequency f, and the flow collection of fluid is a kind of noncontinuity
Discrete signal acquisition process.Fluid flowing is seriality process, and flow detection is noncontinuity process, then, use non-company
Continuous one continuous print process of sampling dereaction there will be dropout, as shown in Figure 2.
China Patent Publication No. CN102914333, publication date on February 6th, 2013, the entitled utilization of invention surpasses the inspection of body ripple
The detection method of measurement of discharge, this application case discloses a kind of detection method utilizing super body ripple detection flow, and it is by being arranged in survey
Ultrasonic transducer group on the pipeline section of buret measures the ultrasound wave following current time in pipeline section during downstream propagation and adverse current passes
The adverse current time of sowing time；Gas to be measured flow through measure pipe the pipeline section being disposed with ultrasonic transducer group time be freely spread to
Measure in be connected two of pipe quiet speed pipes, by corresponding sound path of measuring divided by the ultrasound wave actual biography in corresponding quiet speed pipe
Ultrasound wave spread speed in two quiet speed pipes can be respectively obtained between sowing time, above-mentioned ultrasonic propagation velocity is brought into as follows
Ultrasonic propagation velocity computing formula in i.e. can get ultrasonic propagation velocity, measured data are substituted in equation and try to achieve
Treat fluid measured flow in measuring pipe, and then obtain treating the flow of fluid measured.Its weak point is, the method is adopted according to fixing
Sample frequency periodically gathers the flow information of fluid, it is impossible to according to the real-time sampling rate adjusting of the situation of change of flow, when adopting
When sample frequency is less there is bigger error in the calculating of integrated flux, and when sample frequency is bigger, power consumption is bigger.
Summary of the invention
It is an object of the invention to overcome existing ultrasonic flow rate measuring instrument periodically to gather according to fixed sampling frequency
The flow information of fluid, when sample frequency is less there is bigger error, the merit when sample frequency is bigger in the calculating of integrated flux
Consume bigger technical problem, it is provided that a kind of flow fast tracking method for ultrasonic flow rate measuring instrument, it can be right
Fluid flow is tracked, and adjusts the sample frequency of flow detection module in real time according to the situation of change of fluid flow, reduces tired
The error of long-pending flow rate calculation, reduces power consumption.
In order to solve the problems referred to above, the present invention is achieved by the following technical solutions:
A kind of flow fast tracking method for ultrasonic flow rate measuring instrument of the present invention, comprises the following steps:
S1: frequency control module receives control frequency f of sampling speed-variable module output, and this control frequency f is sent to
Flow detection module and historical data buffer module, present fluid flow is adopted by flow detection module according to controlling frequency f
Sample, and the flow value V0 collected is sent to adaptive flow filtration module；
After S2: adaptive flow filtration module receives the flow value V0 that flow detection module sends, read storage in it
16 flow values sending of nearest flow detection module, 16 flow values arrange according to the sequencing in sampling time, according to
Sampling time, adaptive flow filtration module was according to the numerical value of V1～V16 and their sampling near to being far followed successively by V1～V16
Time order and function order judges fluid flow situation of change；
S3: adaptive flow filtration module calculates the flow value M that need to export according to fluid flow situation of change, works as self adaptation
Flow filtration module judges when fluid flow is accelerated or reduces, M=(V0 × 4+V8 × 2+V7+V9)/8, when adaptive flow is filtered
Mode block judges when fluid flow is constant, M=(V0 × 4+V8 × 4+V7 × 4+V9 × 3+V6 × 3+V10 × 2+V5 × 2+V11+
V4)/24, flow value M is sent to historical data buffer module and data on flows buffer module by adaptive flow filtration module, with
Time storage flow value V0, perform step S4 and step S5 the most simultaneously；
S4: the flow value M that data on flows buffer module storage receives, and this flow value M is sent to airflow calculator；
Flow value M that adaptive flow filtration module is sent by S5: historical data buffer module and frequency control module
Control frequency f sent stores as a packet, then reads 10 be most recently stored before storage current data packet
Individual packet, is averaged the flow value in 10 packets, obtains average flow rate valueBy the control frequency in 10 packets
Rate is averaged, and obtains average frequency valueBy flow value M, average flow rate valueAnd average frequency valueIt is sent to speed change mould of sampling
Block；
S6: sampling speed-variable module calculatesAccording toSituation calculate need to export frequency control module
Control frequency f, ifThenIf Then As
Really Then IfThenX1 ＜ X2 ＜ X3, there is maximum in f
Value fmaxWith minima fmin, when the f calculated is more than maximum fmaxTime, f=fmax, when the f calculated is less than minima fmin
Time, f=fmin, control frequency f calculated is sent to frequency control module, then jumps to step S1 by sampling speed-variable module.
In the technical program, flow detection module is hardware module, and adaptive flow filtration module, historical data buffer
Module, data on flows buffer module, sampling speed-variable module and airflow calculator are all software module.
Frequency control module controls the detection frequency of flow detection module, and flow detection module is sent out according to frequency control module
The control frequency f fluid flow sent is sampled, and sampled value is sent to adaptive flow filtration module.Adaptive flow is filtered
16 flow values that mode tuber sends according to the nearest flow detection module of storage in it judge fluid flow situation of change, according to
Fluid flow situation of change exports specific flow value M to historical data buffer module and data on flows buffer module.
The flow value M received is stored by data on flows buffer module, and sends it to airflow calculator, flow
Computer calculates integrated flux according to flow value M, the i.e. accumulative fluid volume passed through.Historical data buffer module calculates and receives
The meansigma methods of 10 flow values being most recently received before present flow rate value MCalculating receives before ongoing frequency value f
The meansigma methods of 10 frequency values that proximity receivesThen by flow value M, average flow rate valueAnd average frequency valueIt is sent to
Sampling speed-variable module.Sampling speed-variable module calculates control frequency f according to the data received, and control frequency f is sent to
Frequency control module, frequency control module controls flow detection module and samples to control frequency f fluid flow.This method
Fluid flow can be tracked, adjust the sample frequency of flow detection module according to the situation of change of fluid flow in real time,
Reduce the error that integrated flux calculates, reduce power consumption.
As preferably, in described step S1, present fluid flow is sampled by flow detection module according to controlling frequency f
Time, sampling 16 datas on flows of continuous acquisition every time, these 16 datas on flows are averaged by flow detection module, and obtain is average
Flow value is sent to adaptive flow filtration module as the flow value V0 collected.Flow detection module connects when sampling every time
These 16 data are averaged the data on flows that meansigma methods is this sampling obtained by 16 datas on flows of continuous collection.
As preferably, in described step S2, adaptive flow filtration module judges that fluid flow situation of change includes following step
Rapid:
Step N1: be averaged by flow value V1～V4, obtain meansigma methods A1, is averaged flow value V5～V8, is put down
Average A2, is averaged flow value V9～V12, obtains meansigma methods A3, is averaged by flow value V13～V16, obtains meansigma methods
A4；
Step N2: compare the size of A1, A2, A3, A4, if A1 ＞ A2 ＞ A3 ＞ A4 or A1 ＜ A2 ＜ A3 ＜ A4, then holds
Row step N3, otherwise judges that fluid flow is constant；
Step N3: calculate | A1-A2 | and obtain numerical value B1, calculates | A2-A3 | and obtains numerical value B2, calculates | A3-A4 | and is counted
Value B3, as B1 ＞ B2 ＞ B3, it is judged that fluid flow accelerate, as B1 ＜ B2 ＜ B3, it is judged that fluid flow reduce, except more than
Other situations outside situation judge that fluid flow is constant.
As preferably, control frequency f is also sent to data on flows buffer module by described step S1 medium frequency control module,
In described step S4, flow value M that adaptive flow filtration module is sent by data on flows buffer module and FREQUENCY CONTROL mould
Control frequency f that block sends stores as a data set, 3 that in data on flows buffer module, storage is most recently received
Data set, is respectively (flow value M1, frequency values f1), (flow value M2, frequency values f2) and (flow value M3, frequency values f3), when
When data on flows buffer module is not received by flow value M within the time of regulation, data on flows buffer module calculates flow
ValueThis flow value M is sent to airflow calculator by data on flows buffer module.
As preferably, in described step S5, historical data buffer module stores the nearest packet received for 30 seconds, described
Packet carries out data stack according to the sequencing of the time of reception.
As preferably, in described step S5, when historical data buffer module is not received by adaptive within the time of regulation
When answering the flow value M that flow filtration module sends, historical data buffer module reads 3 flow values being most recently received, and will
These three flow value is averaged, and the meansigma methods obtained is sent to, as flow value M, speed-variable module of sampling.
The substantial effect of the present invention is: can fluid flow be tracked, and the situation of change according to fluid flow is real
Time adjust flow detection module sample frequency, reduce integrated flux calculate error, reduce power consumption.
Accompanying drawing explanation
Fig. 1 is a kind of flow chart of the present invention；
Fig. 2 is the schematic diagram gathering fluid flow according to fixed sampling frequency；
Fig. 3 is the schematic diagram that the inventive method gathers fluid flow.
Detailed description of the invention
Below by embodiment, and combine accompanying drawing, technical scheme is described in further detail.
Embodiment: a kind of flow fast tracking method for ultrasonic flow rate measuring instrument of the present embodiment, such as Fig. 1 institute
Show, comprise the following steps:
S1: frequency control module receives control frequency f of sampling speed-variable module output, and this control frequency f is sent to
Flow detection module and historical data buffer module, present fluid flow is adopted by flow detection module according to controlling frequency f
Sample, these 16 datas on flows are averaged and obtain flow by 16 datas on flows of flow detection module continuous acquisition during sampling every time
Value V0, is then sent to adaptive flow filtration module flow value V0；
After S2: adaptive flow filtration module receives the flow value V0 that flow detection module sends, read storage in it
16 flow values sending of nearest flow detection module, 16 flow values arrange according to the sequencing in sampling time, according to
Sampling time, adaptive flow filtration module was according to the numerical value of V1～V16 and their sampling near to being far followed successively by V1～V16
Time order and function order judges fluid flow situation of change；
S3: adaptive flow filtration module calculates the flow value M that need to export according to fluid flow situation of change, works as self adaptation
Flow filtration module judges when fluid flow is accelerated or reduces, M=(V0 × 4+V8 × 2+V7+V9)/8, when adaptive flow is filtered
Mode block judges when fluid flow is constant, M=(V0 × 4+V8 × 4+V7 × 4+V9 × 3+V6 × 3+V10 × 2+V5 × 2+V11+
V4)/24, flow value M is sent to historical data buffer module and data on flows buffer module by adaptive flow filtration module, with
Time storage flow value V0, perform step S4 and step S5 the most simultaneously；
S4: the flow value M that data on flows buffer module storage receives, and this flow value M is sent to airflow calculator；
Flow value M that adaptive flow filtration module is sent by S5: historical data buffer module and frequency control module
Control frequency f sent stores as a packet, then reads 10 be most recently stored before storage current data packet
Individual packet, is averaged the flow value in 10 packets, obtains average discharge primaryBy the control frequency in 10 packets
Rate is averaged, and obtains average frequency valueBy flow value M, average flow rate valueAnd average frequency valueIt is sent to speed change mould of sampling
Block；
S6: sampling speed-variable module calculatesAccording toSituation calculate need to export frequency control module
Control frequency f, ifThenIf Then As
Really Then IfThenX1=1HZ, X2=2HZ, X3=
There is maximum 4HZ and minima 1HZ in 3HZ, f, when the f calculated is more than maximum 4HZ, f=4HZ, when the f calculated is little
When minima 1HZ, f=1HZ, control frequency f calculated is sent to frequency control module, then jumps by sampling speed-variable module
Go to step S1.
In step S2, adaptive flow filtration module judges that fluid flow situation of change comprises the following steps:
Step N1: be averaged by flow value V1～V4, obtain meansigma methods A1, is averaged flow value V5～V8, is put down
Average A2, is averaged flow value V9～V12, obtains meansigma methods A3, is averaged by flow value V13～V16, obtains meansigma methods
A4；
Step N2: compare the size of A1, A2, A3, A4, if A1 ＞ A2 ＞ A3 ＞ A4 or A1 ＜ A2 ＜ A3 ＜ A4, then holds
Row step N3, otherwise judges that fluid flow is constant；
Step N3: calculate | A1-A2 | and obtain numerical value B1, calculates | A2-A3 | and obtains numerical value B2, calculates | A3-A4 | and is counted
Value B3, as B1 ＞ B2 ＞ B3, it is judged that fluid flow accelerate, as B1 ＜ B2 ＜ B3, it is judged that fluid flow reduce, except more than
Other situations outside situation judge that fluid flow is constant.
Control frequency f is also sent to data on flows buffer module, in step S4, flow by step S1 medium frequency control module
Flow value M that adaptive flow filtration module is sent by data buffering module and control frequency f that frequency control module sends
Store as a data set, 3 data sets that in data on flows buffer module, storage is most recently received, be respectively (stream
Value M1, frequency values f1), (flow value M2, frequency values f2) and (flow value M3, frequency values f3), when data on flows buffer module
When being not received by flow value M within the time of regulation, data on flows buffer module calculates flow valueThis flow value M is sent to airflow calculator by data on flows buffer module.Flow number
According to buffer module, according to time order and function order, the data set received being carried out data stack, new data leaves top, old number in
According to leaving bottom in.
In step S5, historical data buffer module stores the nearest packet received for 30 seconds, by packet according to when receiving
Between sequencing carry out data stack.
In step S5, when historical data buffer module is not received by adaptive flow filtration module within the time of regulation
During the flow value M sent, historical data buffer module reads 3 flow values being most recently received, and is taken by these three flow value
Averagely, the meansigma methods obtained is sent to, as flow value M, speed-variable module of sampling.
Flow detection module is hardware module, and adaptive flow filtration module, historical data buffer module, data on flows are slow
Die block, sampling speed-variable module and airflow calculator are all software module.
Frequency control module controls the detection frequency of flow detection module, and flow detection module is sent out according to frequency control module
The control frequency f fluid flow sent is sampled, and sampled value is sent to adaptive flow filtration module.Adaptive flow is filtered
16 flow values that mode tuber sends according to the nearest flow detection module of storage in it judge fluid flow situation of change, according to
Fluid flow situation of change exports specific flow value M to historical data buffer module and data on flows buffer module.
The flow value M received is stored by data on flows buffer module, and sends it to airflow calculator, flow
Computer calculates integrated flux according to flow value M, the i.e. accumulative fluid volume passed through.Historical data buffer module calculates and receives
The meansigma methods of 10 flow values being most recently received before present flow rate value MCalculating receives before ongoing frequency value f
The meansigma methods of 10 frequency values that proximity receivesThen by flow value M, average flow rate valueAnd average frequency valueIt is sent to
Sampling speed-variable module.Sampling speed-variable module calculates control frequency f according to the data received, and control frequency f is sent to
Frequency control module, frequency control module controls flow detection module and samples according to controlling frequency f fluid flow.Flow
Detection module gathers the schematic diagram of fluid flow, as shown in Figure 3.This method can fluid flow be tracked, according to fluid
The situation of change of flow adjusts the sample frequency of flow detection module in real time, reduces the error that integrated flux calculates, and reduces power consumption.
Claims (5)
1. the flow fast tracking method for ultrasonic flow rate measuring instrument, it is characterised in that comprise the following steps:
S1: frequency control module receives control frequency f of sampling speed-variable module output, and this control frequency f is sent to flow
Detection module and historical data buffer module, present fluid flow is sampled, often by flow detection module according to controlling frequency f
These 16 datas on flows are averaged and obtain flow value V0 by 16 datas on flows of flow detection module continuous acquisition during secondary sampling,
Then flow value V0 is sent to adaptive flow filtration module；
After S2: adaptive flow filtration module receives the flow value V0 that flow detection module sends, store in reading it
16 flow values that nearly flow detection module sends, 16 flow values arrange, according to sampling according to the sequencing in sampling time
Time, adaptive flow filtration module was according to the numerical value of V1～V16 and their sampling time near to being far followed successively by V1～V16
Sequencing judges fluid flow situation of change；
S3: adaptive flow filtration module calculates the flow value M that need to export according to fluid flow situation of change, works as adaptive flow
Filtration module judges when fluid flow is accelerated or reduces, M=(V0 × 4+V8 × 2+V7+V9)/8, when adaptive flow filters mould
Block judges when fluid flow is constant,
M=(V0 × 4+V8 × 4+V7 × 4+V9 × 3+V6 × 3+V10 × 2+V5 × 2+V11+V4)/24, adaptive flow filters
Flow value M is sent to historical data buffer module and data on flows buffer module, simultaneously storage flow value V0 by module, same afterwards
Shi Zhihang step S4 and step S5；
S4: the flow value M that data on flows buffer module storage receives, and this flow value M is sent to airflow calculator；
Flow value M and frequency control module that adaptive flow filtration module is sent by S5: historical data buffer module send
Control frequency f store as a packet, then read 10 numbers that are most recently stored before storage current data packet
According to bag, the flow value in 10 packets is averaged, obtains average flow rate valueControl frequency in 10 packets is taken
Averagely, average frequency value is obtainedBy flow value M, average flow rate valueAnd average frequency valueIt is sent to speed-variable module of sampling；
S6: sampling speed-variable module calculatesAccording toSituation calculate and need to export the control of frequency control module
Frequency f, ifThenIfThenIfThenIfThenX1 ＜ X2 ＜ X3, X1, X2, X3 are
Frequency variable, there is maximum f in fmaxWith minima fmin, when the f calculated is more than maximum fmaxTime, f=fmax, when calculating
F less than minima fminTime, f=fmin, control frequency f calculated is sent to frequency control module by sampling speed-variable module,
Then step S1 is jumped to.
A kind of flow fast tracking method for ultrasonic flow rate measuring instrument the most according to claim 1, its feature
Being, in described step S2, adaptive flow filtration module judges that fluid flow situation of change comprises the following steps:
Step N1: be averaged by flow value V1～V4, obtain meansigma methods A1, is averaged flow value V5～V8, obtains meansigma methods
A2, is averaged flow value V9～V12, obtains meansigma methods A3, is averaged by flow value V13～V16, obtains meansigma methods A4；
Step N2: compare the size of A1, A2, A3, A4, if A1 ＞ A2 ＞ A3 ＞ A4 or A1 ＜ A2 ＜ A3 ＜ A4, then performs step
Rapid N3, otherwise judges that fluid flow is constant；
Step N3: calculate | A1-A2 | and obtain numerical value B1, calculates | A2-A3 | and obtains numerical value B2, calculates | A3-A4 | and obtains numerical value B3,
As B1 ＞ B2 ＞ B3, it is judged that fluid flow is accelerated, as B1 ＜ B2 ＜ B3, it is judged that fluid flow reduces, except case above
Outside other situations judge that fluid flow is constant.
A kind of flow fast tracking method for ultrasonic flow rate measuring instrument the most according to claim 1 and 2, it is special
Levy and be: control frequency f is also sent to data on flows buffer module, described step S4 by described step S1 medium frequency control module
In, flow value M that adaptive flow filtration module is sent by data on flows buffer module and the control that frequency control module sends
Frequency f processed stores as a data set, 3 data sets that in data on flows buffer module, storage is most recently received, point
Not Wei (flow value M1, frequency values f1), (flow value M2, frequency values f2) and (flow value M3, frequency values f3), when data on flows delay
When die block is not received by flow value M within the time of regulation, data on flows buffer module calculates flow valueThis flow value M is sent to airflow calculator by data on flows buffer module.
A kind of flow fast tracking method for ultrasonic flow rate measuring instrument the most according to claim 1 and 2, it is special
Levy and be: in described step S5 historical data buffer module store the nearest packet received for 30 seconds, described packet according to
The sequencing of reception time carries out data stack.
A kind of flow fast tracking method for ultrasonic flow rate measuring instrument the most according to claim 1 and 2, it is special
Levy and be: in described step S5, when historical data buffer module is not received by adaptive flow filtering within the time of regulation
During the flow value M that module sends, historical data buffer module reads 3 flow values being most recently received, and by these three flow
Value is averaged, and the meansigma methods obtained is sent to, as flow value M, speed-variable module of sampling.
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| CN104697591A (en) * | 2015-03-18 | 2015-06-10 | 安徽水联水务科技有限公司 | Lower power consumption ultrasonic water meter and control method thereof |
| CN105486429B (en) * | 2016-01-28 | 2018-08-17 | 苏州瑞尚节能科技有限公司 | A kind of ultrasonic calorimeter based on filtering algorithm |
| CN109425402A (en) * | 2017-08-24 | 2019-03-05 | 台湾优化水务股份有限公司 | Intelligent flowmeter |
| US20210247219A1 (en) * | 2018-06-13 | 2021-08-12 | Hitachi Automotive Systems, Ltd. | Physical quantity detection device |
| CN109816159B (en) * | 2019-01-08 | 2021-04-02 | 中国联合网络通信集团有限公司 | Water meter control method, water meter and control device based on prediction |
| CN110186524B (en) * | 2019-05-16 | 2021-02-02 | 金卡智能集团(杭州)有限公司 | Fluid ultrasonic metering system and method |
| CN111130504B (en) * | 2019-12-23 | 2023-03-03 | 成都理工大学 | Data acquisition method capable of self-adjusting sampling frequency |
| CN113155212A (en) * | 2021-04-08 | 2021-07-23 | 浙江威星智能仪表股份有限公司 | Ultrasonic metering method for improving metering precision under flow fluctuation |
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