CN105806643A - Identification method and device for gas-liquid mixing state of dust remover - Google Patents

Identification method and device for gas-liquid mixing state of dust remover Download PDF

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CN105806643A
CN105806643A CN201610350389.1A CN201610350389A CN105806643A CN 105806643 A CN105806643 A CN 105806643A CN 201610350389 A CN201610350389 A CN 201610350389A CN 105806643 A CN105806643 A CN 105806643A
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liquid
pattern
frequency range
frequency
cleaner unit
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CN105806643B (en
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李小川
魏涛
胡海彬
王冬雪
向武
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Tianjin Kuangjia Technology Co.,Ltd.
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China University of Mining and Technology CUMT
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    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • G01M99/005Testing of complete machines, e.g. washing-machines or mobile phones
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract

The invention relates to an identification method and device for a gas-liquid mixing state of a dust remover.Effective identification is conducted on a gas-liquid coupled mode inside the dust remover, the gas-liquid coupling effect can be quantificationally judged, the situation that the dust remover operates in a non-operating mode is reduced, the overall dust removal effect is indirectly improved, it is guaranteed that the dust remover can operate in an efficient and energy-saving mode, and therefore the situation that a large amount of particulate matter escapes due to the operation effect of the dust remover is reduced, and the overall dust removal efficiency is improved.

Description

The recognition methods of a kind of cleaner unit gas-liquid mixture phase and device
Technical field
The present invention relates in a kind of self-induced scrubber work process, for the method monitoring its gas-liquid mixture phase, be specially recognition methods and the device of a kind of cleaner unit gas-liquid mixture phase.
Background technology
Self-induced scrubber simple in construction, easy to maintenance, less costly, it is the conventional environmental protection equipment that reduces discharging of the maximum discharge industry fine particles such as mining industry, metallurgy and Coal Chemical Industry, and obtains a wide range of applications.But practical application finds, self-induced scrubber is often in closed environment, running cannot be observed gas-liquid mixture phase, gas-liquid mixture phase has very big relation with cleaner unit running status and efficiency of dust collection, when operational factor (such as wind speed, liquid level, structure etc.) changes, cleaner unit gas-liquid mixture phase will change, and directly affect dust removing effects.
When laboratory is tested, research worker also tends to only check gas-liquid mixture phase by transparent windows naked eyes, there is certain subjectivity, but without the effective ways of a kind of quantitative judge gas-liquid mixed, the gas-liquid mixture phase of cleaner unit is detected and identifies.
Additionally, the instrument price of existing on-line monitoring cleaner unit efficiency of dust collection is expensive, ultimate principle is monitoring dust concentration, is easily damaged monitoring equipment when dust concentration is big especially, it is impossible to reach monitoring effect.And currently there are no a kind of method that can carry out indirect monitoring cleaner unit running status by monitoring gas-liquid mixture phase, and then indirectly lasting monitoring cleaner unit operational effect.
Summary of the invention
It is an object of the invention to a kind of detection method monitoring cleaner unit gas-liquid mixture phase proposed for cleaner unit running status, it can pass through to monitor the pressure parameter in cleaner unit running, and pass through correlation analysis, identify the gas-liquid mixed pattern of cleaner unit, and then the running status of differentiation cleaner unit, indirect monitoring cleaner unit operational effect.Eliminate and close because cleaner unit is internal, cannot observe, and cannot the defect of timely and effective judgement cleaner unit operational effect;Set up the effective ways of cleaner unit R&D process rational judgment gas-liquid mixed effect.
The technical solution adopted for the present invention to solve the technical problems is: the recognition methods of a kind of cleaner unit gas-liquid mixture phase, by gathering the pressure signal of house outlet, analyze gas liquid two-phase flow information entrained in Pressure Fluctuation Signal and detect gas-liquid two-phase admixture, concretely comprise the following steps:
Step 1) make gas-liquid mixture phase identification sample:
Step 1.1) gas-liquid couple state is divided into faint fluctuation model, hydrostatic potential difference pattern, resonance water attack pattern, shears liquid curtain pattern and entrainment bubble pattern;
Step 1.2) the pressure oscillation information at wind speed, liquid level and house outlet place that gathers respectively under above-mentioned five kinds of patterns in cleaner unit, measure the corresponding level parameter of different mode simultaneously, pressure oscillation information under different wind speed, liquid levels is carried out statistical analysis, spectrum analysis, obtain dust remover resistance Changing Pattern, sort out the drag characteristics value of corresponding modes, and obtain the power spectral density PSD changes in distribution situation of pressure oscillation information, show that self-induced scrubber gaseous pressure vibration frequency mainly concentrates scope, and frequency range is divided into n frequency range;
Step 1.3) from power spectral density plot, extract the characteristic vector that can distinguish different mode respectively, including the frequency range corresponding to peak value under the peak ranges of frequency range each in power spectral density plot, relative peak scope and different mode, in conjunction with drag characteristic and level parameter, then the scope of each characteristic vector value is sorted out, and be calculated, it is determined that under each pattern, characteristic vector is corresponding interval;Wherein, the specific level under liquid level difference pattern ranges for [y1, y2];It is [n1, n2] that resonance water attack pattern bends down the frequency range corresponding to frequent section peak value, and the frequency range corresponding to intermediate-frequency band peak value is [n3, n4];Shearing under liquid curtain pattern the frequency range corresponding to intermediate-frequency band peak value be [q5, q6], and when there is little shearing, the frequency range corresponding to low frequency frequency range peak value is [q1, q2], and the frequency range corresponding to intermediate-frequency band peak value is [q3, q4];
Step 2) wind speed, liquid level and the pressure oscillation information that gather under running status in cleaner unit be analyzed, obtain and the characteristic vector corresponding to characteristic vector in step 1.3;
Step 2.1) by monitoring system, pressure oscillation primary signal is acquired, obtain its power spectral density plot, obtain wind speed and liquid level information simultaneously;
Step 2.2) primary signal and power spectral density plot are analyzed, extract the correlated characteristic vector that discrimination is higher, i.e. the peak ranges of each frequency range and relative peak scope:
Step 2.2.1) power spectral density plot is divided into n frequency range, extract the first frequency range in each mode power spectrum density figure respectively to the peak-peak in the n-th frequency range, then, sort out each frequency range peak ranges under each pattern;
Step 2.2.2) calculate the second frequency range under all patterns to n-th frequency range percentage ratio relative to the first frequency range, and sort out the relative peak scope under each pattern:
Step 3) the gas-liquid CGCM in the cleaner unit under running status is identified:
Step 3.1) the individual features ranges of vectors extracted with step 1.3 based on two characteristic vector scopes of step 2.2 makes comparisons, owing to the maximum of the peak value of faint fluctuation model high band is also low compared with the minima of other pattern high band peak values, the minima entrainmenting bubble pattern high band peak value substantially exceeds compared with the maximum of other pattern high band peak values, therefore can identify faint fluctuation model well and entrainment bubble pattern;
Step 3.2) then, fluctuated signal by reset pressure, calculate out dust remover resistance size, according to dust remover resistance characteristic, whether detect its Resistance Value more than regulation Resistance Value A, if drag characteristic is more than regulation Resistance Value A, meanwhile, detected in the liquid level whether specific level scope [y1, y2] under hydrostatic potential difference pattern in dedusting chamber by liquid level sensor, if so, then cleaner unit internal flow form is hydrostatic potential difference pattern;If it is not, then for shearing liquid curtain pattern or resonance water attack pattern;
Step 3.3) whether detect the frequency corresponding to low frequency frequency range peak value at [n1, n2] in scope, whether the frequency corresponding to peak value in detection intermediate-frequency band is at [n3 simultaneously, n4] in scope, if meet the two condition simultaneously, for resonance water attack pattern, otherwise, whether the frequency corresponding to peak value in detection intermediate-frequency band is at [q5, q6] in scope, if, then for shearing liquid curtain pattern;Or, whether detection frequency corresponding to low frequency frequency range peak value is in [q1, q2] scope, whether the frequency corresponding to peak value in detection intermediate-frequency band is in [q3, q4] scope simultaneously, if meet the two condition simultaneously, also for shearing liquid curtain pattern, if being unsatisfactory for, then it is other patterns.
Described cleaner unit gaseous pressure vibration frequency is mainly concentrated and is ranged for 0-30Hz, and frequency range is divided into low 0-10Hz, middle 10-20Hz, tri-frequency ranges of high 20-32Hz.
The peak ranges of faint fluctuation model high band is 0-20020, and the peak ranges entrainmenting bubble pattern high band is 1.51851E+6,2.53083E+7.
Described regulation Resistance Value A is 300Pa.
The identification device of a kind of cleaner unit gas-liquid mixture phase, including pressure-inducting device, liquid level sensor, anemobiagraph, liquid level transmission and stabilizing adjusting device, data collecting card and computer;Described cleaner unit includes inlet channel, tank, dedusting chamber, current limiting plate, dewatering plate and dedusting fan, described inlet channel is located at tank side, dedusting chamber, current limiting plate, dewatering plate and dedusting fan are sequentially located at above tank, one end that inlet channel is connected with tank arranges choke block, forms restriction;Described anemobiagraph is arranged in inlet channel;The transmission of described liquid level and stabilizing adjusting device are arranged on the lower section of restriction;Liquid level transmission and stabilizing adjusting device are rectangle baffle plate, it is installed with cell body plane perpendicular, and and cell body install inlet channel side sidewall between formed level gauging room, the top of baffle plate extends to cell body sidewall arc to be closed level gauging ceiling mouth, baffle plate bottom arranges the liquid-through hole of connection level gauging room and cell body along its length, and liquid level sensor is located at above interior volume;Described pressure-inducting device is arranged on the lower section of dedusting fan;The main body of described pressure-inducting device is a L-shaped pipeline, its horizontal body is threadeded with the internal pressure point arranged of cleaner unit, longitudinal pipe body is positioned at cleaner unit outside and threadeds with pressure transducer, pipe interior arranges the water leg of depression along the outer rim tube wall of corner, water leg is connected to downward drain pipe, and under duty, the outer end of L-shaped pipeline is with end cap seal.
Described internal diameter of the pipeline 6-10mm.
Described pressure guiding pipe total length controls within 12cm, wherein vertical direction 3-5cm.
Described pressure point is arranged on below the air port of dedusting fan.
The transmission of described liquid level and stabilizing adjusting device select resistant material to make.
The transmission of described liquid level and stabilizing adjusting device distance and its nearer cell body sidewall wall 10-20cm.
The 1/15-1/20 that liquid-through hole aperture is barrier width of the transmission of described liquid level and stabilizing adjusting device, be dislocatedly distributed setting.
Described liquid level sensor range: 0~0.6m, signal exports: 0~5VDC, response time≤5ms, repeatable accuracy ± 1.0mm, ambient temperature-30~+85 DEG C.
The invention has the beneficial effects as follows: when cleaner unit runs, close owing to cleaner unit is internal, and gas-liquid couple state inside cleaner unit cannot be differentiated timely and effectively, thus its dust removing effects cannot be judged, the monitoring system of the present invention and monitoring method, this defect can be eliminated well, cleaner unit inside gas-liquid CGCM is effectively identified, and judgement gas-liquid coupling effect that can be quantitative, reduce cleaner unit to run with non-regime mode, indirectly improve its overall dust removing effects, ensure that cleaner unit can run under energy-efficient pattern, occur thus reducing the situation causing particulate matter to be escaped in a large number because of cleaner unit operational effect, improve the combined dust-eliminating efficiency of cleaner unit.
Accompanying drawing explanation
Accompanying drawing 1 is the structural representation identifying device of a kind of cleaner unit gas-liquid mixture phase.
Accompanying drawing 2 is the structural representation of pressure-inducting device.
Accompanying drawing 3 is the structural representation of liquid level transmission and stabilizing adjusting device.
Accompanying drawing 4 is the intelligent monitor system flow chart identifying device of a kind of cleaner unit gas-liquid mixture phase.
Accompanying drawing 5 is the spectrogram under different liquid level and wind speed.
In figure, 1. cleaner unit, 2. tank, 3. inlet channel, 4. choke block, 5. dedusting chamber, 6. current limiting plate, 7. dewatering plate, 8. dedusting fan, 9. liquid level transmission and stabilizing adjusting device, 10. pressure point, 11. pressure-inducting devices, 11-1. female thread, 11-2. external screw thread, 11-3. water leg, 11-4. drain pipe, 12. anemobiagraph, 13. liquid level sensors, 14. pressure transducers, 15. data collecting card, 16. computers, 17. liquid levels.
Detailed description of the invention:
In conjunction with Fig. 4 and Fig. 5, a kind of identification of cleaner unit 1 gas-liquid mixture phase, the first step: the Pressure Fluctuation Signal of cleaner unit 1 outlet under various wind speed and liquid level running status is acquired, then power spectral-density analysis is carried out, show that self-induced scrubber 1 gaseous pressure vibration frequency is concentrated mainly within the scope of 0-30Hz, the pressure signal choosing different liquid level difference wind speed carries out spectrum analysis, obtain power spectral density PSD changes in distribution situation, cleaner unit 1 gas phase PSD figure is different with gas-liquid couple state, has obvious characteristic;
As b0 < 0mm, when wind speed is less, PSD figure has obvious dominant frequency near frequency 2Hz, and other frequency range PSD value is very faint, as shown in Fig. 5 (A1), (B1) and (C1), in conjunction with gas-liquid two-phase couple state it can be seen that this state is the faint fluctuation model of gas-liquid coupling, now, liquid and gas all fluctuate with the fixed frequency of about 2Hz.
Increase with air velocity, gas-liquid is coupled into resonance water attack pattern, PSD figure shows as significantly " adherent effect ", gaseous pressure fluctuation dominant frequency concentrates on lower frequency, such as Fig. 5 (A3), (B2) and (C2), when this is due to resonance water attack, there is overall Pitching by a relatively large margin in liquid level 17, frequency is less, and the fluctuation of other frequency range does not have obvious crest;The peak value of low frequency crest is apparently higher than the peak value of the non-resonant behavior of neighbouring flow velocity, and this illustrates, the energy of resonance water attack focuses primarily upon the liquid level 17 maintaining low frequency and fluctuates.
Increase further with wind speed, resonance water attack is progressively transitioned into shearing liquid curtain pattern, there is obvious crest at high band in gaseous pressure PSD figure, such as Fig. 5 (A4), (B4) and (C4), at about frequency 18Hz, there is obvious crest in the PSD figure of three liquid levels, and raises this crest frequency of occurrences with liquid level and have increase tendency;This phenomenon is sheared after liquid curtain pattern mainly due to entering, liquid level 17 is formed continuous print shear action by air-flow, produces a large amount of drop or liquid curtain, the pressure oscillation direct reaction of gas phase this change procedure of liquid phase.And the region between resonance water attack and shearing liquid curtain pattern, the unconspicuous crest of multiple regularity then occurs within the scope of 0-20Hz, PSD Distribution value in this frequency range is also comparatively average, such as Fig. 5 (B3) and (C3), the appearance of multiple crests there is also a certain amount of liquid level 17 fluctuation mainly due to resonance water attack changeover portion, the a large amount of drop of restriction in wave process, liquid curtain is caused to excite the impact on gaseous pressure, overall being evenly distributed then increases mainly due to air velocity, improve gas-liquid mixed effect, all exist in making vibration frequency on a large scale.
(b0 >=0mm) is raised with liquid level, close when the general morphologictrend of gaseous pressure PSD figure and relatively low liquid level, difference to some extent in details trend.When cleaner unit 1 is in hydrostatic potential difference pattern, PSD figure has a comparatively significantly crest in lower frequency (0-8Hz) scope, when this crest is in throttling liquid level difference, air-flow is changed by pressure oscillation produced by cleaner unit 1 with bubbling form, such as Fig. 5 (D1), (E1) and (F1), the Fig. 5 (D1) fluctuation in this frequency range is comparatively in disorder, mainly due to b0=0mm, when air velocity is relatively low, liquid level 17 is had bubbling and shears two kinds of forms by air-flow, makes the change of stream pressure have multiple crest.
And raise further with air velocity, gas-liquid is coupled into entrainments bubble pattern, there is the waveform similar for PSD figure shearing liquid curtain pattern with low liquid level, is formed about a complementary wave peak at 20Hz;But the PSD value in 0-10Hz frequency range is all higher, and distribution is comparatively average, such as Fig. 5 (D4), (E4) and (F4).This is owing to bubble pattern is entrainmented in entrance, gas-liquid mixed is very abundant, air-flow carries big quantity of fluid and enters dedusting chamber 5, big quantity of fluid has wrapped up again a large amount of drop and has entered liquid internal simultaneously, the complexity of mixing makes the frequency range of pressure oscillation be distributed more, occurs in that being relatively evenly distributed within the scope of 0-10Hz.
It is thus found that, each pattern has the characteristic vector of its uniqueness, thus extracting the value of the characteristic vector (such as power spectrum peak, frequency etc.) can distinguished respectively under different mode, then, sort out the scope of each characteristic vector value, and calculate accordingly, it is determined that under each pattern, characteristic vector is corresponding interval.
Analysis and research find, frequency range corresponding to peak value under the peak ranges of each frequency range, relative peak peak ranges and different situations in power spectral density plot, and cleaner unit internal flow pattern can be identified well in conjunction with the dust remover resistance characteristic of early-stage Study and the level parameter of specific location.
Power spectral density plot is identified by second step, judge gas-liquid mixture phase: the signature waveform in power spectral density plot can show the typical characteristic of cleaner unit 1 gas-liquid mixture phase, by the identification of the typical characteristic of power spectral density plot reaches to identify the purpose of gas-liquid mixture phase, implementation process is as follows:
First, by monitoring system, pressure oscillation primary signal is acquired, and obtains its power spectral density plot;
Secondly, primary signal and power spectral density plot are analyzed, extract the correlated characteristic vector that discrimination is higher:
First, extract the first frequency range (such as 0-5HZ frequency band) peak-peak in each mode power spectrum density figure, second frequency range (such as 5-10HZ frequency band) peak-peak, by that analogy, peak-peak in the n-th frequency range, then, each frequency range peak ranges under each pattern is sorted out, such as table 1 below:
Table 1
Second, calculate the second frequency range under the whole circumstances, the 3rd frequency range ... the n-th frequency range is relative to the value (i.e. the second frequency range, the 3rd frequency range ... the n-th frequency range accounts for the percent of the first frequency range) of the first frequency range, and sort out the relative peak scope under each pattern, such as table 2 below:
Table 2
Research finds, based on two above characteristic vector scope, faint fluctuation model, entrainments bubble pattern and has higher discrimination with other Three models, can it be identified respectively well.Then, by primary signal, measure its drag size, according to cleaner unit 1 drag characteristic, whether detect its Resistance Value more than setting, in conjunction with the liquid level of dedusting chamber 5, restriction place offside, by the specific level scope [y1 that liquid level sensor 13 detects whether under hydrostatic potential difference pattern, y2] in, if so, then cleaner unit 1 internal flow form is hydrostatic potential difference pattern;If it is not, then for shearing liquid curtain pattern or resonance water attack pattern.Then, whether detection frequency corresponding to low frequency frequency range peak value is at [n1, n2] scope interior (during generation resonance low frequency frequency fluctuation scope), whether the frequency corresponding to peak value in detection intermediate-frequency band is at [n3 simultaneously, n4] scope interior (intermediate frequency fluctuation range during resonance occurs), if meet the two condition simultaneously, for resonance water attack pattern, otherwise, whether the frequency corresponding to peak value in detection intermediate-frequency band is at [q5, q6] scope interior (intermediate frequency fluctuation range when shearing occurs), if, then for shearing liquid curtain pattern;Or, whether detection frequency corresponding to low frequency frequency range peak value is at [q1, q2] in scope when little shearing (occur Frequency fluctuation range), whether the frequency corresponding to peak value in detection intermediate-frequency band is at [q3 simultaneously, q4] scope interior (intermediate frequency fluctuation range during little shearing occurs), if meet the two condition simultaneously, also for shearing liquid curtain pattern, if being unsatisfactory for, then it is other patterns.
Can be seen that in conjunction with Fig. 1, Fig. 2, Fig. 3, the identification device of a kind of cleaner unit 1 gas-liquid mixture phase, including pressure-inducting device 11, liquid level sensor 13, anemobiagraph 12, liquid level transmission and stabilizing adjusting device 9, pressure transducer 14, data collecting card 15 and computer 16;Described cleaner unit 1 includes inlet channel 3, tank 2, dedusting chamber 5, current limiting plate 6, dewatering plate 7 and dedusting fan 8, described inlet channel 3 is located at tank 2 side, dedusting chamber 5, current limiting plate 6, dewatering plate 7 and dedusting fan 8 are sequentially located at above tank 2, one end that inlet channel 3 is connected with tank 2 arranges choke block 4, forms restriction;Described anemobiagraph 12 is arranged in inlet channel 3;The transmission of described liquid level and stabilizing adjusting device 9 are arranged on the lower section of restriction;Liquid level transmission and stabilizing adjusting device 9 are rectangle baffle plate, it is installed with cell body plane perpendicular, and and cell body install inlet channel 3 side sidewall between formed level gauging room, the top of baffle plate extends to cell body sidewall arc to be closed level gauging ceiling mouth, baffle plate bottom arranges the liquid-through hole of connection level gauging room and cell body along its length, and liquid level sensor 13 is located at above interior volume;Described pressure-inducting device 11 is arranged on the lower section of dedusting fan 8;The main body of described pressure-inducting device 11 is a L-shaped pipeline, the end of its horizontal body is provided with external screw thread 11-2 and threadeds with the internal pressure point 10 arranged of cleaner unit 1, it is outside that longitudinal pipe body is positioned at cleaner unit 1, its end is provided with female thread 11-1, threaded with pressure transducer 14, water leg 11-3, water leg 11-3 that pipe interior arranges depression along the outer rim tube wall of corner are connected to downward drain pipe 11-4, and under duty, the outer end of L-shaped pipeline is with end cap seal;Described anemobiagraph 12, liquid level sensor 13 and pressure transducer 14 are all connected with data collecting card 15, and data collecting card 15 connects computer 16, constitute cleaner unit 1 and monitor system.
Described pressure guiding pipe internal diameter of the pipeline 6-10mm.
Described pressure guiding pipe total length controls within 12cm, wherein vertical direction 3-5cm.
Described pressure point 10 is arranged on below the air port of dedusting fan 8.
The setting of described end cap is possible to prevent the liquid phase in cleaner unit 1 to enter in pressure transducer 14, the pressure difference signal collected is produced impact, causes unnecessary error.
The transmission of described liquid level and stabilizing adjusting device 9 select resistant material to make.
The transmission of described liquid level and stabilizing adjusting device 9 distance and its nearer cell body sidewall wall 10-20cm.
The 1/15-1/20 that liquid-through hole aperture is barrier width of the transmission of described liquid level and stabilizing adjusting device 9, be dislocatedly distributed setting.On the left of this device, the violent liquid phase not easily directly measuring its position connects liquid phase (namely this device retrains the liquid phase between wall with left side) with fluctuating in dedusting chamber 5, utilize law of connected vessels, relatively big for fluctuation in dedusting chamber 5 liquid level 17 not easily measuring its position is delivered to the relatively stable liquid level 17 in the left side of this device, reduce the gas phase fluctuation impact on liquid level 17, stablize liquid level 17 position, it is simple to measure.
Described liquid level sensor 13 selects the sensor that market is commonly used, range: 0~0.6m, and signal exports: 0~5VDC, response time≤5ms, repeatable accuracy ± 1.0mm, ambient temperature-30~+85 DEG C.
Data collecting card 15 selects market routine high-speed collection card, and sample frequency is not less than 1kHz, and sampling number is not less than 5120.
Market conventional computer selected by computer 16, and system requirements is not less than windowsXp, internal memory 2GB.Embodiment
For the identification device of this specific cleaner unit 1 gas-liquid mixture phase of this laboratory research, its implementing method is as follows:
First, the power spectrum under each regime mode is analyzed (as described in the first step above)
Secondly, based on power spectral density map analysis, extract the characteristic vector under each pattern,
First, the frequency domain mainly concentrated by energy is divided into three frequency bands (namely the value of above-mentioned n is 3), then, extract the first frequency range (0-10HZ frequency band) peak-peak in each mode power spectrum density figure respectively, second frequency range (10-20HZ frequency band) peak-peak, the 3rd frequency range (20-32HZ frequency range) peak-peak, then, sort out each frequency range peak ranges under each pattern, such as table 3 below:
Table 3
Second, calculate the second frequency range under the whole circumstances, the 3rd frequency range is relative to the value (i.e. the second frequency range, the 3rd frequency range accounts for the percent of the first frequency range) of the first frequency range, and sorts out the relative peak scope under each pattern, such as table 4 below:
Table 4
Research finds, based on two above characteristic vector scope, faint fluctuation model, entrainments bubble pattern and has higher discrimination with other Three models, can it be identified respectively well.Then, by primary signal, measure its drag size, according to cleaner unit 1 drag characteristic, whether detect its Resistance Value more than a certain specific setting, in conjunction with the liquid level of dedusting chamber 5, restriction place offside, by specific level scope [16.5,18] (the i.e. above-mentioned y1 that liquid level sensor 13 detects whether under hydrostatic potential difference pattern, the value of y2 respectively 16.5,18), in, if so, then cleaner unit 1 internal flow form is hydrostatic potential difference pattern;If it is not, then for shearing liquid curtain pattern or resonance water attack pattern.Then, whether detection frequency corresponding to low frequency frequency range peak value is [0, 0.3] (i.e. above-mentioned n1, the value of n2 respectively 0, 0.3) in scope (during generation resonance low frequency frequency fluctuation scope), whether the frequency corresponding to peak value in detection intermediate-frequency band is [10 simultaneously, 15] (i.e. above-mentioned n3, the value of n4 respectively 10, 15) (there is intermediate frequency fluctuation range during resonance) in scope, if meet the two condition simultaneously, for resonance water attack pattern, otherwise, whether the frequency corresponding to peak value in detection intermediate-frequency band is [15, 20] (i.e. above-mentioned q5, the value of q6 respectively 15, 20) (there is intermediate frequency fluctuation range when shearing) in scope, if, then for shearing liquid curtain pattern;Or, whether detection frequency corresponding to low frequency frequency range peak value is [6.4,7.4] (i.e. above-mentioned q1, the value of q2 respectively 6.4,7.4) in scope when little shearing (occur Frequency fluctuation range), whether the frequency corresponding to peak value in detection intermediate-frequency band is [10 simultaneously, 12.6] (i.e. above-mentioned q3, the value of q4 respectively 10,12.6) scope interior (intermediate frequency fluctuation range during little shearing occurs), if meet the two condition simultaneously, also for shearing liquid curtain pattern, if being unsatisfactory for, then it is other patterns.

Claims (10)

1. the recognition methods of a cleaner unit gas-liquid mixture phase, it is characterised in that by gathering the pressure signal of house outlet, analyzes gas liquid two-phase flow information entrained in Pressure Fluctuation Signal and detects gas-liquid two-phase admixture, concretely comprise the following steps:
Step 1) make gas-liquid mixture phase identification sample:
Step 1.1) gas-liquid couple state is divided into faint fluctuation model, hydrostatic potential difference pattern, resonance water attack pattern, shears liquid curtain pattern and entrainment bubble pattern;
Step 1.2) the pressure oscillation information at wind speed, liquid level and house outlet place that gathers respectively under above-mentioned five kinds of patterns in cleaner unit, measure the corresponding level parameter of different mode simultaneously, pressure oscillation information under different wind speed, liquid levels is carried out statistical analysis, spectrum analysis, obtain dust remover resistance Changing Pattern, sort out the drag characteristics value of corresponding modes, and obtain the power spectral density PSD changes in distribution situation of pressure oscillation information, show that self-induced scrubber gaseous pressure vibration frequency mainly concentrates scope, and frequency range is divided into n frequency range;
Step 1.3) from power spectral density plot, extract the characteristic vector that can distinguish different mode respectively, including the frequency range corresponding to peak value under the peak ranges of frequency range each in power spectral density plot, relative peak scope and different mode, in conjunction with drag characteristic and level parameter, then the scope of each characteristic vector value is sorted out, and be calculated, it is determined that under each pattern, characteristic vector is corresponding interval;Wherein, the specific level under liquid level difference pattern ranges for [y1, y2];It is [n1, n2] that resonance water attack pattern bends down the frequency range corresponding to frequent section peak value, and the frequency range corresponding to intermediate-frequency band peak value is [n3, n4];Shearing under liquid curtain pattern the frequency range corresponding to intermediate-frequency band peak value be [q5, q6], and when there is little shearing, the frequency range corresponding to low frequency frequency range peak value is [q1, q2], and the frequency range corresponding to intermediate-frequency band peak value is [q3, q4];
Step 2) wind speed, liquid level and the pressure oscillation information that gather under running status in cleaner unit be analyzed, obtain and the characteristic vector corresponding to characteristic vector in step 1.3;
Step 2.1) by monitoring system, pressure oscillation primary signal is acquired, obtain its power spectral density plot, obtain wind speed and liquid level information simultaneously;
Step 2.2) primary signal and power spectral density plot are analyzed, extract the correlated characteristic vector that discrimination is higher, i.e. the peak ranges of each frequency range and relative peak scope:
Step 2.2.1) power spectral density plot is divided into n frequency range, extract the first frequency range in each mode power spectrum density figure respectively to the peak-peak in the n-th frequency range, then, sort out each frequency range peak ranges under each pattern;
Step 2.2.2) calculate the second frequency range under all patterns to n-th frequency range percentage ratio relative to the first frequency range, and sort out the relative peak scope under each pattern:
Step 3) the gas-liquid CGCM in the cleaner unit under running status is identified:
Step 3.1) the individual features ranges of vectors extracted with step 1.3 based on two characteristic vector scopes of step 2.2 makes comparisons, owing to the maximum of the peak value of faint fluctuation model high band is also low compared with the minima of other pattern high band peak values, the minima entrainmenting bubble pattern high band peak value substantially exceeds compared with the maximum of other pattern high band peak values, therefore can identify faint fluctuation model well and entrainment bubble pattern;
Step 3.2) then, fluctuated signal by reset pressure, calculate out dust remover resistance size, according to dust remover resistance characteristic, whether detect its Resistance Value more than regulation Resistance Value A, if drag characteristic is more than regulation Resistance Value A, meanwhile, detected in the liquid level whether specific level scope [y1, y2] under hydrostatic potential difference pattern in dedusting chamber by liquid level sensor, if so, then cleaner unit internal flow form is hydrostatic potential difference pattern;If it is not, then for shearing liquid curtain pattern or resonance water attack pattern;
Step 3.3) whether detect the frequency corresponding to low frequency frequency range peak value at [n1, n2] in scope, whether the frequency corresponding to peak value in detection intermediate-frequency band is at [n3 simultaneously, n4] in scope, if meet the two condition simultaneously, for resonance water attack pattern, otherwise, whether the frequency corresponding to peak value in detection intermediate-frequency band is at [q5, q6] in scope, if, then for shearing liquid curtain pattern;Or, whether detection frequency corresponding to low frequency frequency range peak value is in [q1, q2] scope, whether the frequency corresponding to peak value in detection intermediate-frequency band is in [q3, q4] scope simultaneously, if meet the two condition simultaneously, also for shearing liquid curtain pattern, if being unsatisfactory for, then it is other patterns.
2. the recognition methods of a kind of cleaner unit gas-liquid mixture phase according to claim 1, it is characterized in that, described cleaner unit gaseous pressure vibration frequency is mainly concentrated and is ranged for 0-30Hz, and frequency range is divided into low 0-10Hz, middle 10-20Hz, tri-frequency ranges of high 20-32Hz;The peak ranges of faint fluctuation model high band is 0-20020, and the peak ranges entrainmenting bubble pattern high band is 1.51851E+6,2.53083E+7;Described regulation Resistance Value A is 300Pa.
3. the identification device of a kind of cleaner unit gas-liquid mixture phase described in any one claim according to claims 1 to 2, including pressure-inducting device, liquid level sensor, anemobiagraph, liquid level transmission and stabilizing adjusting device, data collecting card and computer;Described cleaner unit includes inlet channel, tank, dedusting chamber, current limiting plate, dewatering plate and dedusting fan, described inlet channel is located at tank side, dedusting chamber, current limiting plate, dewatering plate and dedusting fan are sequentially located at above tank, one end that inlet channel is connected with tank arranges choke block, forms restriction;Described anemobiagraph is arranged in inlet channel;The transmission of described liquid level and stabilizing adjusting device are arranged on the lower section of restriction;Liquid level transmission and stabilizing adjusting device are rectangle baffle plate, it is installed with cell body plane perpendicular, and and cell body install inlet channel side sidewall between formed level gauging room, the top of baffle plate extends to cell body sidewall arc to be closed level gauging ceiling mouth, baffle plate bottom arranges the liquid-through hole of connection level gauging room and cell body along its length, and liquid level sensor is located at above interior volume;Described pressure-inducting device is arranged on the lower section of dedusting fan;The main body of described pressure-inducting device is a L-shaped pipeline, its horizontal body is threadeded with the internal pressure point arranged of cleaner unit, longitudinal pipe body is positioned at cleaner unit outside and threadeds with pressure transducer, pipe interior arranges the water leg of depression along the outer rim tube wall of corner, water leg is connected to downward drain pipe, and under duty, the outer end of L-shaped pipeline is with end cap seal.
4. the identification device of a kind of cleaner unit gas-liquid mixture phase according to claim 3, it is characterised in that described internal diameter of the pipeline 6-10mm.
5. the identification device of a kind of cleaner unit gas-liquid mixture phase according to claim 3, it is characterised in that described pressure guiding pipe total length controls within 12cm, wherein vertical direction 3-5cm.
6. the identification device of a kind of cleaner unit gas-liquid mixture phase according to claim 3, it is characterised in that described pressure point is arranged on below the air port of dedusting fan.
7. the identification device of a kind of cleaner unit gas-liquid mixture phase according to claim 3, it is characterised in that the transmission of described liquid level and stabilizing adjusting device select resistant material to make.
8. the identification device of a kind of cleaner unit gas-liquid mixture phase according to claim 3, it is characterised in that the transmission of described liquid level and stabilizing adjusting device distance and its nearer cell body sidewall wall 10-20cm.
9. the identification device of a kind of cleaner unit gas-liquid mixture phase according to claim 3, it is characterised in that the 1/15-1/20 that liquid-through hole aperture is barrier width of the transmission of described liquid level and stabilizing adjusting device, be dislocatedly distributed setting.
10. the identification device of a kind of cleaner unit gas-liquid mixture phase according to claim 3, it is characterised in that described liquid level sensor range: 0~0.6m, signal exports: 0~5VDC, response time≤5ms, repeatable accuracy ± 1.0mm, ambient temperature-30~+85 DEG C.
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