CN103487186A - Variable frequency water supply system operating efficiency on-line detection method based on grey correlation method - Google Patents

Variable frequency water supply system operating efficiency on-line detection method based on grey correlation method Download PDF

Info

Publication number
CN103487186A
CN103487186A CN201310409508.2A CN201310409508A CN103487186A CN 103487186 A CN103487186 A CN 103487186A CN 201310409508 A CN201310409508 A CN 201310409508A CN 103487186 A CN103487186 A CN 103487186A
Authority
CN
China
Prior art keywords
delta
value
frequency
water supply
supply system
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.)
Granted
Application number
CN201310409508.2A
Other languages
Chinese (zh)
Other versions
CN103487186B (en
Inventor
李峰平
彭志辉
李沛
付培红
赵军平
胡雪林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
AGCO Intelligent Technology (Zhejiang) Co., Ltd
Original Assignee
Wenzhou University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Wenzhou University filed Critical Wenzhou University
Priority to CN201310409508.2A priority Critical patent/CN103487186B/en
Publication of CN103487186A publication Critical patent/CN103487186A/en
Application granted granted Critical
Publication of CN103487186B publication Critical patent/CN103487186B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Control Of Positive-Displacement Pumps (AREA)

Abstract

The invention provides a variable frequency water supply system operating efficiency on-line detection method based on a grey correlation method. The variable frequency water supply system operating efficiency on-line detection method based on the grey correlation method comprises the following steps: a mathematical model and constraint conditions of output power, frequency disturbance quantity and hydraulic pressure variable quantity are established, so that the mathematical model needed for water supply system operating efficiency on-line detection is formed; frequency small-signal disturbance is conducted under a steady-state condition, an actual pressure change value serves as a reference sequence, and a pressure change value is obtained according to the mathematical model to serve as a comparison sequence; a grey correlation algorithm and a grey correlation degree criterion are adopted for on-line detection of system shaft output power, and then the efficiency of a variable frequency water supply system is obtained. By means of the variable frequency water supply system operating efficiency on-line detection method based on the grey correlation method, on-line output power detection can be realized, a flow sensor is not needed, time for system installation and debugging is shortened, cost for system installation and debugging is lowered, and therefore the system is simpler in structure and lower in cost; a motor and a frequency converter can be effectively protected against low efficiency and failures caused by low frequency operation, therefore, the service life of the system is prolonged, the reliability of the system is improved, and a reliable guarantee is provided for safe and efficient operation of a water pump motor.

Description

Frequency-conversion water supply system operational efficiency online test method based on Grey Incidence
Technical field
The invention belongs to the electromechanical integration measurement and control area, be specifically related to a kind of frequency-conversion water supply system operational efficiency online test method based on Grey Incidence, be particularly useful for air pressure tank frequency conversion water supply facility water pump efficiency and detect.
Background technology
Water pump, as a kind of highly energy-consuming universal machine, is widely used in the every field of industrial and agricultural production and resident living, and the annual electric energy consumed on water pump assembly accounts for total more than 21% of power consumption in the whole nation, accounts for 30%~60% of production cost in water undertaking.The efficiency of water pump and water pump system, even only improve 1%, all can have been brought huge interests to the energy-conservation and environmental protection of China, and the electric energy of water pump consumption 30%~50% is all to save.By adopting frequency conversion control technique can effectively reduce the energy consumption of water pump, 28,200,000,000 kWh that can economize on electricity every year, realize target for energy-saving and emission-reduction.But it is that water pump runs between high efficient area all the time that frequency conversion control technique is realized energy-conservation prerequisite.Yet water supply user's water consumption has randomness and uncertainty on room and time, can not guarantee that water pump operates between high efficient area all the time.Particularly, in the water low ebb time period, because water consumption is very little, frequency converter and pump working are in the low frequency state.Now, motor heat loss and low-frequency vibration are serious, and whole frequency-conversion water supply system energy consumption sharply increases, and system effectiveness is low.Not only can not realize energy-saving and emission-reduction under this operating mode, and pump motor is because long-term low-frequency operation causes mechanical vibration and motor stator winding heating seriously, the safe reliability of reduction system and serviceable life, safe reliability and the production cost supplied water had a negative impact, the even more serious generation that even causes security incident.Thereby it is to deal with problems that the frequency-conversion water supply system operational efficiency detects.
It is that water system realizes the key technical problem that energy-saving and emission-reduction, safe and reliable water supply need emphasis to solve that the frequency-conversion water supply system operational efficiency detects in real time.The frequency-conversion water supply system operational efficiency is pump shaft output power P outwith the input power power P inratio.Power supply power input P inby measuring power input voltage v inwith input current i incan obtain, realize comparatively easy.Pump shaft output power P outneed by measuring hydraulic pressure value p (t) and obtaining with discharge q (t).Hydraulic pressure value p (t) can be recorded by pressure transducer (being generally water pressure gauge), and the measurement of flow q (t) is mainly recorded by following two schemes.
One, flow sensor scheme: by the water outlet at water pump, flow sensor is installed, is realized flow detection; Normally used flow sensor testing agency is mainly vane type, but exists following three kinds of situations can cause flow detection precision and Reliability performance measure not high:
1. supply in the larger situation of water flow velocity, the solid sundries existed in water quality can be clashed into impeller, makes impeller distortion and damaged, causes whole mechanism moment of inertia imbalance, causes flow detection inefficacy or precision and data reliability greatly to reduce; 2. water quality is subject to polluting while presenting acidity or alkalescence, and meeting heavy corrosion impeller mechanism, cause whole mechanism moment of inertia imbalance equally, and flow detection inefficacy or precision and data reliability reduce greatly; 3. the vane type flow detection is rotated by flowing liquid transmission impeller blade, thereby drives the action of associated electrical magnetic mechanism, the turn signal of impeller blade is converted into to the electric signal of different frequency.In the situation that pipeline section is long-pending constant, by the frequency of sampling electric signal, just can measure the flow of liquid.Owing to will considering the restraint conditions such as mechanism's intensity and machining precision and processing cost, the inertia of the rotatable parts such as impeller can not be very little, thereby have a Small flowrate measurement dead zone range, so can not detect such as the low discharge state such as dripping, leak.
Two, nonshared control unit+Special water pump motor scheme: by the pump motor to special-purpose, carry out the test repeatedly of heat-capacity curve, draw the family curve of pump working in the different flow situation, and using this curve and detect the reference value of flow as system, carry out similarity analysis by detecting the current operation characteristic of pump motor and reference characteristic, thereby the flow value that the system that draws is current, but this method exists serious problem to be exactly:
To the hardware and software of control system require high.Because controller will gather a large amount of data and carry out the characteristic quantity of signal processing and solving system, and carries out similarity analysis with the reference characteristic amount be stored in internal memory, thereby requires high to controller.
Due to system in During Process of Long-term Operation, liquid medium constant, the parameter of electric machine, converter parameter etc. are subject to such environmental effects and senile cause changes, and causes that the operation characteristic quantitative changeization of system is larger, causes precision and the poor reliability measured;
(3) because water system is long-time continuous operation, once thereby water pump break down, can only adopt and the motor of the strict coupling of controller, and can not use the pump motor of other types, thereby cause the operation expense of system high, practicality and poor for applicability.
Thereby the frequency-conversion water supply system operational efficiency detection method fields such as metallurgy, iron and steel, oil, chemical industry, water treatment, mine and resident living water at home has boundless market outlook.
Summary of the invention
The object of the invention is to propose a kind of low cost, the frequency-conversion water supply system operational efficiency online test method based on Grey Incidence that versatility is good, simple in structure.
A kind of frequency-conversion water supply system operational efficiency online test method based on Grey Incidence, is characterized in that, comprises the steps:
(1) with sampling period T sfor being sampled in interval by hydraulic pressure value, inverter circuit output frequency and the power input of water system pipe network, sampled value is labeled as p (1), f (1) and P for the first time in(1); Current sampling number is k, makes k=1;
(2) set up hydraulic pressure value array { p (i) }, the inverter circuit output frequency array { f (i) } formed by M element, and power input array { P in(i) }; I={k-M+1 wherein, k-M+2 ... k}, M is the predefined positive integer that is greater than 1, k is current sampling number; P (i) | i<=0=0, f (i) | i<=0=0, P in(i) | i<=0=0;
(3) judge that whether water system is in steady state (SS); If so, enter step (4); Otherwise, proceed to step (13);
(4) solve hydraulic pressure mean value
Figure BDA00003798550400041
inverter circuit output frequency mean value F &OverBar; = 1 M &Sigma; i = k - M + 1 k f ( i ) With power input mean value P in &OverBar; = 1 M &Sigma; i = k - M + 1 k P in ( i ) ;
(5) the mark current time is the t=0 moment, gives fixing Arbitrary Perturbation Δ F of output frequency;
(6) definition
Figure BDA00003798550400044
for t=mT sshaft power estimated value constantly; M=1 wherein, 2 ..., N,
Figure BDA00003798550400045
t dfor predefined observation interval; Order
Figure BDA00003798550400046
wherein initial value for any shaft power estimated value of setting;
Make m=1, second level lowest difference Δ (min)=0, the maximum poor Δ (max)=1 in the second level, resolution ratio γ=0.5;
(7) judgement mT s>T dwhether set up, if set up, proceed to step (13); Otherwise, at t=mT sconstantly, sampling pipe network force value p (m); Obtain
Figure BDA000037985504000411
(8) judgement
Figure BDA00003798550400048
whether set up, if be false, proceed to step (13); Otherwise, by estimated value
Figure BDA00003798550400049
and
Figure BDA000037985504000412
Δ F, T b, ρ, g, P b, V b, T and t=mT sthe substitution formula &Delta; p g ( m ) P &OverBar; = ( 2 F &OverBar; &times; &Delta;F + &Delta; F 2 ) F &OverBar; 2 ( 1 - e - P out g [ m ] T b &rho;g P b V b T t ) , Obtain pressure surge estimated value Δ p g(m);
Wherein, P bfor water system air pressure tank rated pressure value, V bfor water system air pressure tank air chamber nominal volume, T bfor water system air pressure tank rated temperature; T is environment temperature, and ρ is fluid density; G is acceleration of gravity;
(9) using Δ p (m) as with reference to sequence, Δ p g(m) sequence as a comparison, and to Δ p (m), Δ p g(m) carry out normalized and obtain corresponding normalization sequence Δ p 1(m) and
Figure BDA00003798550400051
(10) error of calculation sequence
Figure BDA00003798550400052
solve Δ p 1(m),
Figure BDA00003798550400053
correlation coefficient &xi; 0 ( m ) = &Delta; ( min ) + &gamma;&Delta; ( max ) &Delta; 0 ( m ) + &gamma;&Delta; ( max ) ;
(11) solve degree of association r,
Figure BDA00003798550400055
ξ wherein 0(ψ) | ψ<=0=0;
Judge whether r>=0.95 sets up, if set up, enter step (12); Otherwise more new variables, make
m=m+1; P out g [ m ] = P out g [ m - 1 ] + 1 r sgn ( &Delta;p [ ( m - 1 ) ] - &Delta; p g [ ( m - 1 ) ] ) , Enter step (7);
(12) order computing system efficiency
Figure BDA00003798550400058
judge whether to meet η<=η min, η wherein minfor predefined inefficient threshold value; If so, illustrative system is in inefficient duty, and inverter output is closed, and exits; Otherwise, enter step (13);
(13) make k=k+1; After this sampling period finishes, sample, and the sampled value of mark hydraulic pressure value, inverter circuit output frequency and power input is p (k), f (k) and P next time in(k); Return to step (2).
The further setting of the present invention is, described steady state (SS) is defined as:
Calculate the standard deviation of array { p (i) } &sigma; p = M &Sigma; i = k - M + 1 k p ( i ) 2 - ( &Sigma; i = k - M + 1 k p ( i ) ) 2 M 2 And the standard deviation of array { f (i) } &sigma; f = M &Sigma; i = k - M + 1 k f ( i ) 2 - ( &Sigma; i = k - M + 1 k f ( i ) ) 2 M 2 , Judge whether to meet: σ simultaneously ppand σ ff, wherein: ε pand ε ffor predefined on the occasion of; If meet, think that water system is in steady state (SS), otherwise, think that water system plays pendulum.
Frequency-conversion water supply system operational efficiency online test method based on Grey Incidence of the present invention has following beneficial effect:
One, frequency-conversion water supply system operational efficiency detection method of the present invention has online output power detection, without flow sensor, has saved system Installation and Debugging required time and cost, makes system architecture simpler, and system cost is lower;
Two, with existing nonshared control unit+Special water pump motor scheme, compare, the present invention detects applicable to the frequency-conversion water supply system operational efficiency of the three-phase alternating current pump motor composition of various models, has versatility widely.Because frequency-conversion water supply system shaft power P outmeet formula &Delta;p ( t ) P = ( 2 F &times; &Delta;F + &Delta; F 2 ) F 2 ( 1 - e - P out T b &rho;g P b V b T t ) . This formula is by parameter Δ p (t), P, Δ F, F, T b, V b, P b, ρ, g, T and t determine output power P out(Δ p (t), P, Δ F, F, T b, V b, P b, ρ, g, T and t nominal pressure, fluid density, acceleration of gravity, current environmental temperature and time variable when air chamber volume size, the specified operation of air pressure tank when temperature, the specified operation of air pressure tank when inverter circuit output frequency, the specified operation of air pressure tank when hydraulic pressure value, frequency disturbance increment, stable operation when hydraulic pressure departs from undulate quantity, the stable operation of stationary value while being expressed as respectively frequency Δ F disturbance operation, and with the parameter of motor and model without any relation.Thereby detect output power P by this formula outcan be applied to the interchange pump motor of any model, there is versatility widely.On this basis, then by measuring power supply power input P incan obtain efficiency &eta; = P out P in &times; 100 % .
The characteristics such as it is fast that three, frequency-conversion water supply system operational efficiency detection method of the present invention has detection speed, and reliability is high, practical; The inefficiency fault that can effectively protect motor and converter low-frequency operation to cause, the life and reliability of raising system, for pump motor safety, efficient operation provide Reliable guarantee.
Embodiment
The invention provides a kind of frequency-conversion water supply system operational efficiency detection method based on Grey Incidence, mainly adopted frequency-conversion water supply system efficiency mathematical model.
A) pump shaft output power mathematical model
The water system sketch as shown in Figure 1, mainly comprises water intaking water source, non-return valve 1, pump motor M, air pressure tank 3, tensimeter 4, temperature sensor 5, outlet water control valve 2, inverter circuit 6, controller 7, the detection of power supply power input etc.Add thick line in Fig. 1 and mean power lead, the direction of arrow means the power direction of transfer.The water intaking water source is mainly tap water pipe network or deep-well, pool, rivers and lakes etc.; Non-return valve 1 major function is while preventing that water pump is out of service, the aqueous reflux backwater source in user's webmaster; Pump motor M carries the Zhong network of rivers, water source user by the impeller blade High Rotation Speed; The function of air pressure tank 3 is to stablize hydraulic pressure, prevents the harm of water hammer accident to pipe network; Temperature sensor 5 is for detection of the system Current Temperatures; Tensimeter 4 is for detection of the hydraulic pressure of water system; The power input pick-up unit is for detection of the power of input power; Outlet water control valve 2 is for opening or stopping supplying water to the user; Controller 7 is mainly realized the input of correlation parameter, the sampling of correlated variables, the demonstration of running status and the operation of system control program; The controlled quentity controlled variable that inverter circuit 6 sends by receiving controller, the inversion output to input power, realize the pump motor variable frequency regulating speed control; Input power 8 provides electric energy to whole system.
Variable declaration is as follows: q 1(t) be inflow; q 2(t) be aquifer yield; T (t) is ambient temperature value; The hydraulic pressure value that p (t) is pipe network; P out(t) be the pump shaft output power; F (t) is the inverter circuit output frequency value; P in(t) be the power supply power input; η is system effectiveness; v 1(t) be air pressure tank air chamber volume; p a(t) be the air pressure tank air chamber pressure; v 2(t) be air pressure tank hydroecium volume; S is the air pressure tank sectional area; V zfor the air pressure tank cumulative volume; P bfor air pressure tank air chamber rated pressure value; V bfor air pressure tank air chamber nominal volume; T bfor the air pressure tank rated temperature; T is time variable; ρ is fluid density; G is acceleration of gravity.
During the water system stable state: force value is P, and the inverter circuit output frequency is F, and the Inlet and outlet water flow is Q, and environment temperature is T, and air pressure tank air chamber volume is V 1, the hydroecium volume is V 2, the air pressure tank air chamber pressure is p a(0), the unit of above-mentioned all amounts is international unit.Definition t=0 is the last moment of system with frequency F stable operation constantly, exists:
q 1 ( 0 ) = Q q 2 ( 0 ) = Q f ( 0 ) = F p a ( 0 ) = P - &rho;g V 2 S p ( 0 ) = P v 1 ( 0 ) = V 1 v 2 ( 0 ) = V 2 T ( 0 ) = T
Suppose at [0, T d] running frequency of water pump is in the time: f (t)=F+ Δ F, Δ F is the frequency disturbance increment, T dfor being greater than 0 time value, according to varying in size of water system power, artificially determine in advance; Hydraulic pressure value is p (t)=P+ Δ p (t), the water pressure fluctuations value that Δ p (t) causes for Δ F; The inflow of water pump is q 1(t)=Q+ Δ q 1(t), Δ q 1(t) the flow of inlet water undulating quantity caused for Δ F; The aquifer yield of water pump is q 2(t)=Q+ Δ q 2(t), Δ q 2(t) the water flow undulating quantity caused for Δ F; From University Of Chongqing's Master's thesis " research and design based on PLC tea place constant pressure spriukler irrigation control system ", the pass between water feeding of water pump flow, hydraulic pressure and motor running frequency is:
q 1 ( t ) p ( t ) &eta; = m 1 k u 2 R 2 S f ( t ) 2 ( R 1 + R 2 S ) 2 + ( X 1 &sigma; + X 2 &sigma; ) 2 - - - ( 1 )
Wherein: the efficiency that η is water pump, the i.e. ratio of motor useful power and shaft power;
S is revolutional slip;
R 1, R 2, X 1 σ, X 2 σ, m 1,
Figure BDA00003798550400093
intrinsic parameter for pump motor;
Because pump motor adopts variable frequency regulating speed control, so s remains unchanged substantially.Order:
m 1 k u 2 R 2 S ( R 1 + R 2 S ) 2 + ( X 1 &sigma; + X 2 &sigma; ) 2 = k - - - ( 2 )
K is only relevant with the structural parameters of motor own, with flow, pressure independent.So formula can be reduced to:
q 1 ( t ) p ( t ) &eta; = kf ( t ) 2 - - - ( 3 )
Make k '=η k., when t=0, have:
QP=k′F 2 (4)
At t ∈ [0, T d], by q 1(t)=Q+ Δ q 1(t), f (t)=F+ Δ F and p (t)=P+ Δ p (t) substitution formula (3):
(Q+Δq 1(t))(P+Δp(t))=k′(F+ΔF) 2 (5)
Launch (5), and arrange:
PQ+QΔp(t)+PΔq 1(t)+Δq 1(t)Δp(t)=k′(F 2+2FΔF+ΔF 2) (6)
(4) substitution (6) can be obtained:
QΔp(t)+PΔq 1(t)+Δq 1(t)Δp(t)=k′(2FΔF+ΔF 2) (7)
Due to T dless with the value of Δ F, and the mathematical model of water system contains the large inertial element of single order, thereby system aquifer yield q 2(t) at t ∈ [0, T d] change in the time very little, can be approximated to be constant, i.e. q 2(t)=Q.Thereby at time [0, T d] in, the value of the Δ p (t) that Δ F causes is less, so exist:
|Δp(t)|<<P (8)
So arranging (7) obtains:
QΔp(t)+PΔq 1(t)=k′(2FΔF+ΔF 2) (9)
Formula (9) can be obtained divided by (4):
&Delta; q 1 ( t ) Q + &Delta;p ( t ) P = 2 F &times; &Delta;F + &Delta; F 2 F 2 - - - ( 10 )
Air pressure tank kinetics equation: at t ∈ [0, T d], the volume change of air pressure tank hydroecium is:
&Delta;v 2 ( t ) = &Integral; 0 t ( q 1 ( t ) - q 2 ( t ) ) dt
= &Integral; 0 t ( Q + &Delta; q 1 ( t ) - Q ) dt - - - ( 11 )
= &Integral; 0 t &Delta; q 1 ( t ) dt
So, t ∈ [0, T d] the hydroecium volume is:
v 2 ( t ) = V 2 + &Integral; 0 t &Delta; q 1 ( t ) dt - - - ( 12 )
Because V remains unchanged, thereby the air chamber volume is:
v 1 ( t ) = V 1 - &Integral; 0 t &Delta; q 1 ( t ) dt - - - ( 13 )
Suppose [0, the T at t ∈ d] in the time, environment temperature T remains unchanged, from equation for ideal gases:
p a ( t ) p a ( 0 ) = V 1 v 1 ( t ) - - - ( 14 )
(13) substitution (14) is obtained:
p a ( t ) - p a ( 0 ) p a ( 0 ) = &Integral; 0 t &Delta; q 1 ( t ) dt V 1 - &Integral; 0 t &Delta; q 1 ( t ) dt - - - ( 15 )
Make △ p a(t)=p a(t)-p a(0) be air pressure tank air chamber pressure variable quantity:
&Delta; p a ( t ) = p a ( 0 ) &Integral; 0 t &Delta; q 1 ( t ) dt V 1 - &Integral; 0 t &Delta; q 1 ( t ) dt - - - ( 16 )
And the pressure variety caused by the hydroecium volume change is:
&Delta; p s ( t ) = &rho;g &Integral; 0 t &Delta; q 1 ( t ) dt S - - - ( 17 )
So, the variation in water pressure amount
&Delta;p ( t ) = &Delta; p a ( t ) + &Delta; p s ( t )
= p a ( 0 ) &Integral; 0 t &Delta; q 1 ( t ) dt V 1 - &Integral; 0 t &Delta; q 1 ( t ) dt + &rho;g &Integral; 0 t &Delta; q 1 ( t ) dt S - - - ( 18 )
If parameter T dchoose rationally, meet
Figure BDA00003798550400114
:
&Delta;p ( t ) = p a ( 0 ) + &rho;g V 1 S V 1 &Integral; 0 t &Delta; q 1 ( t ) dt - - - ( 19 )
Will
Figure BDA00003798550400116
substitution formula (19), and arrange:
&Delta;p ( t ) = P - &rho;g V 2 S + &rho;g V 1 S V 1 &Integral; 0 t &Delta;q 1 ( t ) dt - - - ( 20 )
By formula (20), can be obtained:
P - &rho;g V S V 1 &Integral; 0 t &Delta; q 1 ( t ) dt < &Delta;p ( t ) < P + &rho;g V S V 1 &Integral; 0 t &Delta; q 1 ( t ) dt - - - ( 21 )
Wherein: V=V 1+ V 2.Due to
Figure BDA00003798550400119
the hydraulic pressure produced corresponding to the air pressure tank vertical height, normally much smaller than actual lift (the constant pressure water supply lift is generally more than 14m), so
Figure BDA000037985504001110
so have:
&Delta;p ( t ) &ap; P V 1 &Integral; 0 t &Delta; q 1 ( t ) dt - - - ( 22 )
(22) substitution (10) arrangement can be obtained:
&Delta; q 1 ( t ) Q + &Integral; 0 t &Delta; q 1 ( t ) dt V 1 = 2 F &times; &Delta;F + &Delta; F 2 F 2 - - - ( 23 )
So equation (23) is about Δ q 1(t) a Differential Equation with Constant Coefficients, can separate:
&Delta; q 1 ( t ) = Q ( 2 F &times; &Delta;F + &Delta; F 2 ) F 2 e - Q V 1 t - - - ( 24 )
Simultaneous formula (24) and (10) can obtain:
&Delta;p ( t ) = P ( 2 F &times; &Delta;F + &Delta; F 2 ) F 2 ( 1 - e - Q V 1 t ) - - - ( 25 )
Suppose that air pressure tank is without Leakage Gas, from equation for ideal gases:
P b &times; V b T b = P &times; V 1 T - - - ( 26 )
Simultaneous formula (25) and (26), and arrange:
&Delta;p ( t ) = P ( 2 F &times; &Delta;F + &Delta; F 2 ) F 2 ( 1 - e - QP T b P b V b T t ) - - - ( 27 )
Due to the pump shaft output power
Figure BDA00003798550400125
substitution formula (27) also arranges:
&Delta;p ( t ) P = ( 2 F &times; &Delta;F + &Delta; F 2 ) F 2 ( 1 - e - P out T b &rho;g P b V b T t ) - - - ( 28 )
By inequality (8), can be obtained, at t ∈ [0, T d], the constraint condition that formula (28) is set up:
| ( 2 F &times; &Delta;F + &Delta; F 2 ) F 2 ( 1 - e - P out T b &rho;g P b V b T t ) | < < 1 - - - ( 29 )
Due to parameter P, F, Δ F, ρ, g, P b, V b, T bbe observable quantity and known quantity with T, thereby pass through test pressure disturbance quantity Δ p (t) at t ∈ [0, T d] value just can calculate the shaft power P of system when stable state outsize.
B) frequency-conversion water supply system efficiency calculation
By parameter P, F, Δ F, ρ, g, P b, V b, T b, T and Δ p (t) substitution formula (28) just can calculate the shaft power P of system when stable state out.So efficiency eta is:
&eta; = P out P in &times; 100 % - - - ( 30 )
The frequency-conversion water supply system efficiency eta can be tried to achieve in simultaneous (28) and (30).
The invention provides a kind of frequency-conversion water supply system operational efficiency online test method based on Grey Incidence, comprise the steps:
(1) with sampling period T sfor being sampled in interval by hydraulic pressure value, inverter circuit output frequency and the power input of water system pipe network, sampled value is labeled as p (1), f (1) and P for the first time in(1); Current sampling number is k, makes k=1;
(2) set up hydraulic pressure value array { p (i) }, the inverter circuit output frequency array { f (i) } formed by M element, and power input array { P in(i) }; I={k-M+1 wherein, k-M+2 ... k}, M is the predefined positive integer that is greater than 1, k is current sampling number; P (i) | i<=0=0, f (i) | i<=0=0, P in(i) | i<=0=0;
(3) judge that whether water system is in steady state (SS).Steady state (SS) is defined as: the standard deviation of calculating M sampled pressure value p (t)
Figure BDA00003798550400131
and the standard deviation of inverter circuit output frequency f (t)
Figure BDA00003798550400132
judge whether to meet: σ simultaneously ppand σ ff(wherein: ε p, ε ffor set on the occasion of, can be set according to real system, such as getting 0.1 or 0.2).If meet, think that water system is in steady state (SS), enter step (4); Otherwise water system plays pendulum, proceed to step (13).
(4) solve hydraulic pressure mean value
Figure BDA00003798550400133
inverter circuit output frequency mean value with power input mean value
(5) be designated as t=0 constantly with blaze now, give fixing Arbitrary Perturbation Δ F of output frequency,
Figure BDA000037985504001413
(6) definition for t=mT s(m=1,2 ..., N) moment shaft power estimated value, order
Figure BDA00003798550400142
wherein
Figure BDA00003798550400143
initial value for any shaft power estimated value of setting; For without loss of generality,
Figure BDA00003798550400144
value is larger.N is defined as t dfor predefined observation interval;
Make m=1; Definition second level lowest difference Δ (min)=0, the maximum poor Δ (max)=1 in the definition second level, definition resolution ratio γ=0.5.
(7) judgement mT s>T dwhether set up, if set up, proceed to step (13); Otherwise, at t=mT sconstantly, sampling pipe network force value p (m); Obtain
Figure BDA000037985504001414
(8) judgement
Figure BDA00003798550400146
whether set up.Be false, proceed to step (13); Otherwise, by estimated value
Figure BDA00003798550400147
and
Figure BDA000037985504001415
, Δ F, T b, ρ, g, P b, V b, T and t=mT sthe substitution formula &Delta; p g ( m ) P &OverBar; = ( 2 F &OverBar; &times; &Delta;F + &Delta; F 2 ) F &OverBar; 2 ( 1 - e - P out g [ m ] T b &rho;g P b V b T t ) , Obtain pressure surge estimated value Δ p g(m).
(9) using Δ p (m) as with reference to sequence, Δ p g(m) sequence as a comparison, and to Δ p (m), Δ p g(m) carry out normalized and obtain corresponding normalization sequence: Δ p 1(m) and
Figure BDA000037985504001416
(10) error of calculation sequence solve Δ p 1(m), correlation coefficient ξ 0(m), &xi; 0 ( m ) = &Delta; ( min ) + &gamma;&Delta; ( max ) &Delta; 0 ( m ) + &gamma;&Delta; ( max ) .
(11) solve degree of association r:
Figure BDA000037985504001412
(wherein: ξ 0(ψ) | ψ<=0=0).
Judge whether r>=0.95 sets up.Set up, enter step (12); Otherwise, new variables more:
m=m+1; P out g [ m ] = P out g [ m - 1 ] + 1 r sgn ( &Delta;p [ ( m - 1 ) ] - &Delta; p g [ ( m - 1 ) ] ) , Enter step (7).
(12) estimated value
Figure BDA00003798550400152
be exactly system actual axle output power P out.Computing system efficiency:
Figure BDA00003798550400153
judge whether actual output efficiency meets η<=η min(wherein: η minfor the inefficient threshold value of setting, can be set according to real system, such as being set as 30% or 40% etc.).If so, illustrative system is in inefficient duty, and inverter output is closed, and exits.Otherwise, enter step (13).
(13) make k=k+1; After this sampling period finishes, sample, and the sampled value of mark hydraulic pressure value, inverter circuit output frequency and power input is p (k), f (k) and P next time in(k); Return to step (2).

Claims (2)

1. the frequency-conversion water supply system operational efficiency online test method based on Grey Incidence, is characterized in that, comprises the steps:
(1) with sampling period T sfor being sampled in interval by hydraulic pressure value, inverter circuit output frequency and the power input of water system pipe network, sampled value is labeled as p (1), f (1) and P for the first time in(1); Current sampling number is k, makes k=1;
(2) set up hydraulic pressure value array { p (i) }, the inverter circuit output frequency array { f (i) } formed by M element, and power input array { P in(i) }; I={k-M+1 wherein, k-M+2 ... k}, M is the predefined positive integer that is greater than 1, k is current sampling number; P (i) | i<=0=0, f (i) | i<=0=0, P in(i) | i<=0=0;
(3) judge that whether water system is in steady state (SS); If so, enter step (4); Otherwise, proceed to step (13);
(4) solve hydraulic pressure mean value
Figure FDA00003798550300011
inverter circuit output frequency mean value F &OverBar; = 1 M &Sigma; i = k - M + 1 k f ( i ) With power input mean value P in &OverBar; = 1 M &Sigma; i = k - M + 1 k P in ( i ) ;
(5) the mark current time is the t=0 moment, gives fixing Arbitrary Perturbation Δ F of output frequency;
(6) definition
Figure FDA00003798550300014
for t=mT sshaft power estimated value constantly; M=1 wherein, 2 ..., N,
Figure FDA00003798550300015
t dfor predefined observation interval; Order
Figure FDA00003798550300016
wherein
Figure FDA00003798550300017
initial value for any shaft power estimated value of setting;
Make m=1, second level lowest difference Δ (min)=0, the maximum poor Δ (max)=1 in the second level, resolution ratio γ=0.5;
(7) judgement mT s>T dwhether set up, if set up, proceed to step (13); Otherwise, at t=mT sconstantly, sampling pipe network force value p (m); Obtain
Figure FDA00003798550300021
(8) judgement whether set up, if be false, proceed to step (13); Otherwise, by estimated value
Figure FDA00003798550300023
and
Figure FDA000037985503000213
Δ F, T b, ρ, g, P b, V b, T and t=mT sthe substitution formula &Delta; p g ( m ) P &OverBar; = ( 2 F &OverBar; &times; &Delta;F + &Delta; F 2 ) F &OverBar; 2 ( 1 - e - P out g [ m ] T b &rho;g P b V b T t ) , Obtain pressure surge estimated value Δ p g(m);
Wherein, P bfor water system air pressure tank rated pressure value, V bfor water system air pressure tank air chamber nominal volume, T bfor water system air pressure tank rated temperature; T is environment temperature, and ρ is fluid density; G is acceleration of gravity;
(9) using Δ p (m) as with reference to sequence, Δ p g(m) sequence as a comparison, and to Δ p (m), Δ p g(m) carry out normalized and obtain corresponding normalization sequence Δ p 1(m) and
Figure FDA00003798550300025
(10) error of calculation sequence
Figure FDA00003798550300026
solve Δ p 1(m),
Figure FDA00003798550300027
correlation coefficient &xi; 0 ( m ) = &Delta; ( min ) + &gamma;&Delta; ( max ) &Delta; 0 ( m ) + &gamma;&Delta; ( max ) ;
(11) solve degree of association r,
Figure FDA00003798550300029
ξ wherein 0(ψ) | ψ<=0=0;
Judge whether r>=0.95 sets up, if set up, enter step (12); Otherwise more new variables, make
m=m+1; P out g [ m ] = P out g [ m - 1 ] + 1 r sgn ( &Delta;p [ ( m - 1 ) ] - &Delta; p g [ ( m - 1 ) ] ) , Enter step (7);
(12) order
Figure FDA000037985503000211
computing system efficiency
Figure FDA000037985503000212
judge whether to meet η<=η min, η wherein minfor predefined inefficient threshold value; If so, illustrative system is in inefficient duty, and inverter output is closed, and exits; Otherwise, enter step (13);
(13) make k=k+1; After this sampling period finishes, sample, and the sampled value of mark hydraulic pressure value, inverter circuit output frequency and power input is p (k), f (k) and P next time in(k); Return to step (2).
2. the frequency-conversion water supply system operational efficiency online test method based on Grey Incidence according to claim 1, is characterized in that, described steady state (SS) is defined as:
Calculate the standard deviation of array { p (i) }
Figure FDA00003798550300031
and the standard deviation of array { f (i) }
Figure FDA00003798550300032
judge whether to meet: σ simultaneously ppand σ ff, wherein: ε pand ε ffor predefined on the occasion of; If meet, think that water system is in steady state (SS), otherwise, think that water system plays pendulum.
CN201310409508.2A 2013-09-10 2013-09-10 Variable frequency water supply system operating efficiency on-line detection method based on grey correlation method Active CN103487186B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310409508.2A CN103487186B (en) 2013-09-10 2013-09-10 Variable frequency water supply system operating efficiency on-line detection method based on grey correlation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310409508.2A CN103487186B (en) 2013-09-10 2013-09-10 Variable frequency water supply system operating efficiency on-line detection method based on grey correlation method

Publications (2)

Publication Number Publication Date
CN103487186A true CN103487186A (en) 2014-01-01
CN103487186B CN103487186B (en) 2015-04-15

Family

ID=49827587

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310409508.2A Active CN103487186B (en) 2013-09-10 2013-09-10 Variable frequency water supply system operating efficiency on-line detection method based on grey correlation method

Country Status (1)

Country Link
CN (1) CN103487186B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106157169A (en) * 2016-06-30 2016-11-23 温州大学 A kind of parallel operation system optimized control method based on grey correlation
CN110954172A (en) * 2019-12-03 2020-04-03 温州大学 Flow detection method for parallel variable-frequency constant-pressure water supply system
CN111219600A (en) * 2020-01-02 2020-06-02 温州大学 Flow detection method of parallel variable-frequency constant-pressure water supply system based on Newton iteration

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002054182A (en) * 2000-08-08 2002-02-20 Yaskawa Electric Corp Device for predicting amount of water supply
JP2006045892A (en) * 2004-08-04 2006-02-16 Yaskawa Electric Corp Apparatus for predicting amount of water supply
EP1697687B1 (en) * 2003-11-27 2009-03-11 Siemens Aktiengesellschaft Method for determining fluctuating fuel properties during the operation of a power plant
CN101398311A (en) * 2008-10-21 2009-04-01 北京航空航天大学 Repeat dynamic measurement data processing method based on grey system theory
CN101846585A (en) * 2010-05-21 2010-09-29 重庆长安汽车股份有限公司 Test method of automobile transmission system efficiency
CN202530500U (en) * 2012-05-11 2012-11-14 四川优的科技有限公司 Automatic water supply control system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002054182A (en) * 2000-08-08 2002-02-20 Yaskawa Electric Corp Device for predicting amount of water supply
EP1697687B1 (en) * 2003-11-27 2009-03-11 Siemens Aktiengesellschaft Method for determining fluctuating fuel properties during the operation of a power plant
JP2006045892A (en) * 2004-08-04 2006-02-16 Yaskawa Electric Corp Apparatus for predicting amount of water supply
CN101398311A (en) * 2008-10-21 2009-04-01 北京航空航天大学 Repeat dynamic measurement data processing method based on grey system theory
CN101846585A (en) * 2010-05-21 2010-09-29 重庆长安汽车股份有限公司 Test method of automobile transmission system efficiency
CN202530500U (en) * 2012-05-11 2012-11-14 四川优的科技有限公司 Automatic water supply control system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
李峰平等: "基于灰关联分析的产品满意度三维层次评价模型", 《中国机械工程》 *
赵抓强等: "基于灰色关联度供水方案综合评价", 《水利科技与经济》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106157169A (en) * 2016-06-30 2016-11-23 温州大学 A kind of parallel operation system optimized control method based on grey correlation
CN106157169B (en) * 2016-06-30 2019-10-18 温州大学 A kind of parallel operation system optimized control method based on grey correlation
CN110954172A (en) * 2019-12-03 2020-04-03 温州大学 Flow detection method for parallel variable-frequency constant-pressure water supply system
CN111219600A (en) * 2020-01-02 2020-06-02 温州大学 Flow detection method of parallel variable-frequency constant-pressure water supply system based on Newton iteration
CN111219600B (en) * 2020-01-02 2021-05-04 温州大学 Flow detection method of parallel variable-frequency constant-pressure water supply system based on Newton iteration

Also Published As

Publication number Publication date
CN103487186B (en) 2015-04-15

Similar Documents

Publication Publication Date Title
CN103452829B (en) A kind of frequency-conversion water supply system operational efficiency online test method
CN103485386B (en) Variable frequency constant-pressure water supply system control method based on gray correlation method
CN106015028B (en) A kind of intelligent monitoring of water pump pump group and fault early warning method based on Internet of Things
CN103556677B (en) Control method of efficient variable-frequency constant-pressure water supply system
CN104298875B (en) A kind of Centrifugal Pump Forecasting Methodology based on power and pressure difference
CN108287571B (en) Method for judging running interval of flow control system pump
CN103487186B (en) Variable frequency water supply system operating efficiency on-line detection method based on grey correlation method
CN103308312B (en) A kind of method of definite small turbine exhaust enthalpy
CN103488082B (en) A kind of high-efficiency frequency conversion constant pressure water supply system control method based on inverse estimation method
CN103487095B (en) A kind of detection method of small flow based on parameter association
Luo et al. Analysis of vibration characteristics of centrifugal pump mechanical seal under wear and damage degree
CN102052293A (en) Confirming method of lift needed by cooling circulating water system
CN108846144B (en) Pipeline flow online detection method independent of flowmeter
CN102278302A (en) Mechanical seal identification platform and method for reactor coolant pump of million-kilowatt nuclear power station
CN108194249B (en) A kind of turbine-generator units guide vane leak quantity measuring method and system
CN103487099B (en) A kind of low discharge online test method based on parameter reverse method
CN103487187B (en) Online detecting method for operation efficiency of variable frequency water supply system based on inverse solution method
Rakibuzzaman et al. A study on booster pump system with flow sensor for individual flow control method
CN116928112A (en) Fault monitoring system and method for submersible centrifugal pump
CN103487096A (en) Detection method of small flow based on gray correlation method
Bakman et al. Sensorless pressure control of centrifugal pumps
CN103471662B (en) Small flow online detecting method based on Newton method
Shang Application research on testing efficiency of main drainage pump in coal mine using thermodynamic theories
Han et al. The use of model-based voltage and current analysis for torque oscillation detection and improved condition monitoring of centrifugal pumps
Walsh et al. Modeling and experimental validation of a pico-scale francis turbine for a self-powered water disinfection system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C53 Correction of patent of invention or patent application
CB02 Change of applicant information

Address after: 325000 Zhejiang, Ouhai, South East Road, No. 38, Wenzhou National University Science Park Incubator

Applicant after: Wenzhou University

Address before: 325000 Zhejiang province Chashan Wenzhou Higher Education Park Wenzhou University College of mechanical and electrical engineering

Applicant before: Wenzhou University

C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20170623

Address after: Wenling Wenqiao Town, Wei Tong Village in Taizhou City, Zhejiang province 317500

Patentee after: Aikesai Intelligent Technology (Taizhou) Co., Ltd.

Address before: 325000 Zhejiang, Ouhai, South East Road, No. 38, Wenzhou National University Science Park Incubator

Patentee before: Wenzhou University

TR01 Transfer of patent right
CP03 Change of name, title or address

Address after: 317500 9th Floor, 490 Daxi North Road, Daxi Town, Wenling City, Taizhou City, Zhejiang Province

Patentee after: AGCO Intelligent Technology (Zhejiang) Co., Ltd

Address before: Wenling Wenqiao Town, Wei Tong Village in Taizhou City, Zhejiang province 317500

Patentee before: Ikesai Intelligent Technology (Taizhou) Co., Ltd.

CP03 Change of name, title or address