CN106126803B - Refrigeration system analogy method and device - Google Patents
Refrigeration system analogy method and device Download PDFInfo
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- CN106126803B CN106126803B CN201610452304.0A CN201610452304A CN106126803B CN 106126803 B CN106126803 B CN 106126803B CN 201610452304 A CN201610452304 A CN 201610452304A CN 106126803 B CN106126803 B CN 106126803B
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Abstract
The present invention provides a kind of refrigeration system analogy method and devices, wherein this method comprises: obtaining the N group experimental data of refrigeration system to be simulated；Pressure drop data is surveyed by N group to simulate to obtain N group analogue flow rate data and N number of first intermediate pressure-drop coefficient, and the first pressure-drop coefficient is obtained by the N number of first intermediate pressure drop Coefficient Fitting；N group modeled pressure drop data and N number of second intermediate pressure-drop coefficient are obtained by N group measured discharge digital simulation, the second pressure-drop coefficient is obtained by the N number of second intermediate pressure drop Coefficient Fitting；Determine whether the deviation between the first pressure-drop coefficient and the second pressure-drop coefficient is less than predetermined deviation threshold value, if it is less, taking the average value of the first pressure-drop coefficient and the second pressure-drop coefficient as the pressure-drop coefficient in connecting tube pipe；Refrigeration system simulation is carried out based on the pressure-drop coefficient in connecting tube pipe.The embodiment of the present invention determines the mode of coefficient relative to existing rule of thumb parameter, effectively increases the precision of refrigeration simulation software.
Description
Technical field
The present invention relates to sunykatuib analysis technical fields, in particular to a kind of refrigeration system analogy method and device.
Background technique
Currently, formula employed in all refrigeration analogue systems be all it is essentially identical, unique different place is
Processing and setting to the coefficient in formula, these coefficients are also the most important factor for directly affecting simulation accuracy.
However, existing coefficient is typically all rule of thumb parameter determination, so as to cause the precision of refrigeration simulation software
It is bigger than normal larger.
In view of the above-mentioned problems, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of refrigeration system analogy methods, to improve the precision of refrigeration simulation software, the party
Method includes:
Obtain the N group experimental data of refrigeration system to be simulated, wherein N is positive integer, and the N group experimental data includes: N
Group actual measurement pressure drop data and N group measured discharge data corresponding with N group actual measurement pressure drop data；
Pressure drop data is surveyed by the N group to simulate to obtain N group analogue flow rate data and N number of first intermediate pressure-drop coefficient,
The first pressure-drop coefficient is obtained by N number of first intermediate pressure drop Coefficient Fitting；
N group modeled pressure drop data and N number of second intermediate pressure-drop coefficient are obtained by the N group measured discharge digital simulation,
The second pressure-drop coefficient is obtained by N number of second intermediate pressure drop Coefficient Fitting；
Determine whether the deviation between first pressure-drop coefficient and second pressure-drop coefficient is less than predetermined deviation threshold value,
If it is less, taking the average value of first pressure-drop coefficient and second pressure-drop coefficient as the pressure drop system in connecting tube pipe
Number；
Refrigeration system simulation is carried out based on the pressure-drop coefficient in the connecting tube pipe.
In one embodiment, pressure drop data is surveyed by the N group and simulates to obtain N group analogue flow rate data and N number of
First intermediate pressure-drop coefficient obtains the first pressure-drop coefficient by N number of first intermediate pressure drop Coefficient Fitting, comprising:
Pressure drop data is surveyed by the N group to simulate to obtain N group analogue flow rate data and N number of first intermediate pressure-drop coefficient；
The N group analogue flow rate data are compared with the N group measured discharge data, lookup, which deviates from being less than, to be preset
The M group analogue flow rate data of value, wherein M is the positive integer less than or equal to N；
M corresponding with the M group analogue flow rate data the first intermediate pressure-drop coefficients are fitted, the first pressure drop is obtained
Coefficient.
In one embodiment, N group modeled pressure drop data and N number of is obtained by the N group measured discharge digital simulation
Second intermediate pressure-drop coefficient obtains the second pressure-drop coefficient by N number of second intermediate pressure drop Coefficient Fitting, comprising:
N group modeled pressure drop data and N number of second intermediate pressure-drop coefficient are obtained by the N group measured discharge digital simulation；
The N group modeled pressure drop data is compared with N group actual measurement pressure drop data, lookup, which deviates from being less than, to be preset
The Q group modeled pressure drop data of value, wherein Q is the positive integer less than or equal to N；
Q corresponding with the Q group modeled pressure drop data the second intermediate pressure-drop coefficients are fitted, the second pressure drop is obtained
Coefficient.
In one embodiment, the preset value is 5%.
In one embodiment, N is more than or equal to 50.
In one embodiment, determining that the deviation between first pressure-drop coefficient and second pressure-drop coefficient is
It is no to be less than after predetermined deviation threshold value, the method also includes:
If the deviation between first pressure-drop coefficient and second pressure-drop coefficient is not less than the predetermined deviation threshold
Value, then reject one or more groups of singular datas from the N group experimental data；
According to the experimental data after rejecting one or more groups of singular datas, it is fitted the first pressure-drop coefficient and second again
Pressure-drop coefficient, until the deviation between the first pressure-drop coefficient and the second pressure-drop coefficient that fitting obtains is less than predetermined deviation threshold value.
In one embodiment, the predetermined deviation threshold value is 10%.
The embodiment of the invention provides a kind of refrigeration system simulators, to improve the precision of refrigeration simulation software, the dress
It sets and includes:
Module is obtained, for obtaining the N group experimental data of refrigeration system to be simulated, wherein N is positive integer, and the N group is real
Testing data includes: N group actual measurement pressure drop data and N group measured discharge data corresponding with N group actual measurement pressure drop data；
First fitting module simulates to obtain N group analogue flow rate data and N number of for surveying pressure drop data by the N group
First intermediate pressure-drop coefficient obtains the first pressure-drop coefficient by N number of first intermediate pressure drop Coefficient Fitting；
Second fitting module, for obtaining N group modeled pressure drop data and N number of by the N group measured discharge digital simulation
Second intermediate pressure-drop coefficient obtains the second pressure-drop coefficient by N number of second intermediate pressure drop Coefficient Fitting；
Determining module, for determining whether the deviation between first pressure-drop coefficient and second pressure-drop coefficient is less than
Predetermined deviation threshold value, if it is less, taking the average value of first pressure-drop coefficient and second pressure-drop coefficient as connection
Pressure-drop coefficient in pipe pipe；
Analog module, for carrying out refrigeration system simulation based on the pressure-drop coefficient in the connecting tube pipe.
In one embodiment, first fitting module includes:
First analogue unit simulates to obtain N group analogue flow rate data and N number of for surveying pressure drop data by the N group
First intermediate pressure-drop coefficient；
First comparing unit, for the N group analogue flow rate data to be compared with the N group measured discharge data,
Search the M group analogue flow rate data to deviate less than preset value, wherein M is the positive integer less than or equal to N；
First fitting unit, for carrying out M corresponding with the M group analogue flow rate data the first intermediate pressure-drop coefficient
Fitting, obtains the first pressure-drop coefficient.
In one embodiment, second fitting module includes:
Second analogue unit, for obtaining N group modeled pressure drop data and N number of by the N group measured discharge digital simulation
Second intermediate pressure-drop coefficient；
Second comparing unit, for the N group modeled pressure drop data to be compared with N group actual measurement pressure drop data,
Search the Q group modeled pressure drop data to deviate less than preset value, wherein Q is the positive integer less than or equal to N；
Second fitting unit, for carrying out Q corresponding with the Q group modeled pressure drop data the second intermediate pressure-drop coefficient
Fitting, obtains the second pressure-drop coefficient.
In one embodiment, above-mentioned refrigeration system simulator further include:
Module is rejected, for determining that the deviation between first pressure-drop coefficient and second pressure-drop coefficient is not less than
The predetermined deviation threshold value then rejects one or more groups of singular datas from the N group experimental data；
Correction module, for being fitted first again according to the experimental data after rejecting one or more groups of singular datas
Pressure-drop coefficient and the second pressure-drop coefficient, until the deviation between the first pressure-drop coefficient and the second pressure-drop coefficient that fitting obtains is less than
Predetermined deviation threshold value.
In the above-described embodiments, it simulates to obtain the first pressure-drop coefficient by the pressure drop data of actual measurement, passes through the flow of actual measurement
Digital simulation obtains the second pressure-drop coefficient, will between the first pressure-drop coefficient and the second pressure-drop coefficient in the lesser situation of deviation
The two average value carries out refrigeration system simulation as the pressure-drop coefficient in final pipe, based on the pressure-drop coefficient in final pipe,
The mode that coefficient is determined relative to existing rule of thumb parameter effectively increases the precision of refrigeration simulation software.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the method flow diagram of refrigeration system analogy method according to an embodiment of the present invention；
Fig. 2 is the flow chart of parameter calibration method according to an embodiment of the present invention；
Fig. 3 is the structural block diagram of refrigeration system simulator according to an embodiment of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, right below with reference to embodiment and attached drawing
The present invention is described in further details.Here, exemplary embodiment and its explanation of the invention is used to explain the present invention, but simultaneously
It is not as a limitation of the invention.
In embodiments of the present invention, a kind of refrigeration system analogy method is provided, as shown in Figure 1, may include following step
It is rapid:
Step 101: obtaining the N group experimental data of refrigeration system to be simulated, wherein N is positive integer, and the N group tests number
According to including: N group actual measurement pressure drop data and survey the corresponding N group measured discharge data of pressure drop data with the N group；
Step 102: pressure drop data being surveyed by the N group and simulates to obtain N group analogue flow rate data and N number of first intermediate pressure
Coefficient is dropped, the first pressure-drop coefficient is obtained by N number of first intermediate pressure drop Coefficient Fitting；
Step 103: N group modeled pressure drop data and N number of second intermediate pressure are obtained by the N group measured discharge digital simulation
Coefficient is dropped, the second pressure-drop coefficient is obtained by N number of second intermediate pressure drop Coefficient Fitting；
Step 104: it is default to determine whether the deviation between first pressure-drop coefficient and second pressure-drop coefficient is less than
Deviation threshold, if it is less, taking the average value of first pressure-drop coefficient and second pressure-drop coefficient as connecting tube pipe
Interior pressure-drop coefficient；
Step 105: refrigeration system simulation is carried out based on the pressure-drop coefficient in the connecting tube pipe.
In view of during simulation, some data are devious, therefore in above-mentioned steps 102 and step 103,
The big data of application condition can be rejected, accurate pressure-drop coefficient is determined using accurate analogue data, to protect
The accuracy for demonstrate,proving result, specifically, above-mentioned steps 102 may include:
S1: pressure drop data is surveyed by the N group and simulates to obtain N group analogue flow rate data and N number of first intermediate pressure drop system
Number；
S2: the N group analogue flow rate data are compared with the N group measured discharge data, and lookup, which deviates, to be less than
The M group analogue flow rate data of preset value, wherein M is the positive integer less than or equal to N；
S3: M corresponding with the M group analogue flow rate data the first intermediate pressure-drop coefficients are fitted, obtain first
Pressure-drop coefficient.
Correspondingly, above-mentioned steps 103 may include:
S1: N group modeled pressure drop data and N number of second intermediate pressure drop system are obtained by the N group measured discharge digital simulation
Number；
S2: the N group modeled pressure drop data is compared with N group actual measurement pressure drop data, lookup, which deviates, to be less than
The Q group modeled pressure drop data of preset value, wherein Q is the positive integer less than or equal to N；
S3: Q corresponding with the Q group modeled pressure drop data the second intermediate pressure-drop coefficients are fitted, obtain second
Pressure-drop coefficient.
Above-mentioned preset value can be 5%, certainly when actually calculating, according to the requirement or system of precision
Performance etc. can adjust the size of preset value, according to actual needs to meet the needs of different.
In view of experimental data is more, the accuracy of acquired results can be increased, therefore, be typically chosen at least 50 groups of experiment numbers
According to, that is, the value of N may be greater than equal to 50.
The case where pressure-drop coefficient is met the requirements is only accounted for into step 105 in above-mentioned steps 101, but does not consider pressure
In the case that drop coefficient is unsatisfactory for requirement, for amendment can be iterated in the following way in ungratified situation: if
Deviation between first pressure-drop coefficient and the second pressure-drop coefficient is not less than predetermined deviation threshold value, then from the N group experimental data
Reject one or more groups of singular datas；According to the experimental data after the one or more groups of singular datas of rejecting, it is fitted the first pressure again
Coefficient and the second pressure-drop coefficient drop, until the deviation between the first pressure-drop coefficient and the second pressure-drop coefficient that fitting obtains is less than in advance
If deviation threshold, wherein predetermined deviation threshold value can be set to 10%, naturally it is also possible to be set as other numbers according to actual needs
Value, the application are not construed as limiting this.
A specific embodiment is provided in embodiments of the present invention to be illustrated the above method, however it is noticeable
It is that the specific embodiment does not constitute improper limitations of the present invention merely to the present invention is better described.
In order to improve refrigeration analogue system in connecting tube drop simulation precision and machine system in pressure drop and heat exchange amount
Simulation precision uses scaling method, improves the simulation precision of pressure drop in air-conditioning system in this example, can accurately mould
The leaking heat for drawing up connecting tube makes the heat exchange amount accuracy of machine system and drop simulation accuracy all be greatly improved,
And stablize within a range, traditional analog phantom error is ± 20%, and scaling method provided by this example can make mould
Quasi- simulation accuracy controls and stablizes within ± 10%.
Specifically, in this example, being demarcated by the method that flow and pressure drop are mutually calculated to tube drop coefficient, such as Fig. 2
It is shown, comprising:
Firstly, carrying out experiment test to the connecting tube in air-conditioning system, when test, laboratory can be using test
The very high Experiment of Heat Transfer room of precision, to guarantee the accuracy of test data.It determines experimental program, acquires experimental data.
In order to improve final simulation accuracy, it can guarantee that range of flow covers all business air conditioner coefficients in experimental program as far as possible,
The connecting tube of exemplar selection criteria air-conditioning system.
Specifically, the data tested can include but is not limited at least one of: flow in managing, tube drop,
Inlet pipe pressure, mass dryness fraction, goes out pipe pressure and outlet pipe temperature at inlet pipe temperature, and the data of acquisition should at least be maintained at 50 groups or more.Its
In, the data tested contribute to correlation data, such as: by inputting inlet and outlet pressure and inlet temperature or mass dryness fraction,
The flow by connecting tube, outlet pipe temperature can be calculated by empirical equation.Then, connecting tube flow simulation obtained
It is compared with outlet pipe temperature with measured data, and guarantees that error is no more than ± 5%.If the data of input are: flow, outlet
Pressure, outlet pipe temperature, then connection tube voltage drop, inlet pressure and inlet temperature can be calculated by empirical equation or do
Connection tube voltage drop, inlet pressure and inlet temperature or mass dryness fraction that simulation obtains equally are compared by degree with measured data,
And guarantee that error is no more than ± 5%, that is, flow is obtained by pressure drop and pressure drop is determined by the mutual calculation method that flow obtains pressure drop
The value of COEFFICIENT K.
It is fitted secondly, inlet and outlet pressure in pipe is substituted into formula as known parameters, obtains flow and pressure drop pair
Relation curve is answered, obtaining fitting pressure-drop coefficient K1, (because test data there are 50 groups or more, every group of test data has different pressures
COEFFICIENT K is dropped, the pressure-drop coefficient for just there are about 50 groups or more is simulated, therefore, it is necessary to be fitted these pressure-drop coefficients, in mould
The parameter entered and left when quasi- there are also the inlet temperature of connecting tube or mass dryness fraction and inlet pipe pressure, go out pipe pressure as known ginseng
Number, so that it may simulate the flow value under the state.In similarly managing flow and outlet pressure as known parameters substitution formula into
Row fitting, obtains pressure drop and flow corresponding relationship curve, obtains fitting pressure-drop coefficient K2.
In above-mentioned empirical equation, flow formula can be indicated are as follows:
Drop formula can indicate are as follows:
Wherein, A indicate circulation area, ρ indicate upstream density, Δ P indicate pressure drop, m indicate flow, k indicate friction because
Son, F indicate friction pressure drop, and a indicates to accelerate pressure drop, and z indicates gravitational pressure drop.
Because formula used in fitting is identical, therefore, the pressure-drop coefficient K1 and K2 obtained based on fitting experimental data answers phase
It is poor little, it can control deviation ± 0.1.However, due to experimental data, calculating process and intending in actual experimentation
Conjunction process can all have error, and so as to cause K1, that there are deviations is larger for K2 numerical value, could will therefore, it is necessary to carry out successive ignition
Then K1 and K2 control is averaged as the pressure-drop coefficient kdp in pipe to deviation minimum, substitutes into formula and carry out school again
Core, it is desirable that and until measured data deviation is less than ± 10%.Wherein, so-called iteration can be understood as calculating repeatedly, that is, if
K1 and K2 differ greatly, then search experimental data, if it find that some data has exception just to be rejected, then re-start meter
It calculates.
Further, for two-phase connecting tube, when determining pressure drop, it is also necessary to determine viscosity coefficient, determine
It is larger that the calculation formula selected when viscosity coefficient also results in K1 and K2 deviation sometimes, therefore, larger if there is deviation
The case where, the calculation formula of viscosity coefficient can be reselected until analogue data and experimental data are coincide, wherein calculate viscosity
The formula of coefficient can have: mark's formula, mound gill formula etc., for example, connecting tube entrance viscosity coefficient can choose mark
Formula is calculated, outlet section viscosity coefficient selection mound gill formula is calculated.
The refrigeration system analogy method that upper example is proposed not only can be adapted for the connecting tube of standard, and long connecting tube may be used also
To be adapted to exhaust pipe assembly or be suction conduit assembly etc..
Based on the same inventive concept, a kind of refrigeration system simulator is additionally provided in the embodiment of the present invention, it is such as following
Described in embodiment.Since the principle that refrigeration system simulator solves the problems, such as is similar to refrigeration system analogy method, refrigeration
The implementation of system simulator may refer to the implementation of refrigeration system analogy method, and overlaps will not be repeated.It is following to be used
, the combination of the software and/or hardware of predetermined function may be implemented in term " unit " or " module ".Although following embodiment institute
The device of description preferably realized with software, but the combined realization of hardware or software and hardware be also may and quilt
Conception.Fig. 3 is a kind of structural block diagram of the refrigeration system simulator of the embodiment of the present invention, as shown in figure 3, may include:
Module 301, the first fitting module 302, the second fitting module 303, determining module 304 and analog module 305 are obtained, below to this
Structure is illustrated.
Module 301 is obtained, for obtaining the N group experimental data of refrigeration system to be simulated, wherein N is positive integer, the N
Group experimental data includes: N group actual measurement pressure drop data and N group measured discharge data corresponding with N group actual measurement pressure drop data；
First fitting module 302 is simulated to obtain N group analogue flow rate data and N for surveying pressure drop data by the N group
A first intermediate pressure-drop coefficient obtains the first pressure-drop coefficient by N number of first intermediate pressure drop Coefficient Fitting；
Second fitting module 303, for obtaining N group modeled pressure drop data and N by the N group measured discharge digital simulation
A second intermediate pressure-drop coefficient obtains the second pressure-drop coefficient by N number of second intermediate pressure drop Coefficient Fitting；
Determining module 304, for whether determining the deviation between first pressure-drop coefficient and second pressure-drop coefficient
Less than predetermined deviation threshold value, if it is less, taking the average value conduct of first pressure-drop coefficient Yu second pressure-drop coefficient
Pressure-drop coefficient in connecting tube pipe；
Analog module 305, for carrying out refrigeration system simulation based on the pressure-drop coefficient in the connecting tube pipe.
In one embodiment, the first fitting module 302 may include: the first analogue unit, for passing through the N group
Actual measurement pressure drop data is simulated to obtain N group analogue flow rate data and N number of first intermediate pressure-drop coefficient；First comparing unit, being used for will
The N group analogue flow rate data are compared with the N group measured discharge data, search the M group mould to deviate less than preset value
Quasi- data on flows, wherein M is the positive integer less than or equal to N；First fitting unit, being used for will be with the M group analogue flow rate data
Corresponding M the first intermediate pressure-drop coefficients are fitted, and obtain the first pressure-drop coefficient.
In one embodiment, the second fitting module 303 may include: the second analogue unit, for passing through the N group
Measured discharge digital simulation obtains N group modeled pressure drop data and N number of second intermediate pressure-drop coefficient；Second comparing unit, being used for will
The N group modeled pressure drop data is compared with N group actual measurement pressure drop data, searches the Q group mould to deviate less than preset value
Quasi- pressure drop data, wherein Q is the positive integer less than or equal to N；Second fitting unit, being used for will be with the Q group modeled pressure drop data
Corresponding Q the second intermediate pressure-drop coefficients are fitted, and obtain the second pressure-drop coefficient.
In one embodiment, above-mentioned refrigeration system simulator can also include: rejecting module, for determining
The deviation between the first pressure-drop coefficient and second pressure-drop coefficient is stated not less than the predetermined deviation threshold value, then from the N group
One or more groups of singular datas are rejected in experimental data；Correction module, for according to rejecting one or more groups of singular datas
Experimental data afterwards is fitted the first pressure-drop coefficient and the second pressure-drop coefficient again, until obtained the first pressure-drop coefficient of fitting with
Deviation between second pressure-drop coefficient is less than predetermined deviation threshold value.
It can be seen from the above description that the embodiment of the present invention realizes following technical effect: passing through the pressure drop of actual measurement
Digital simulation obtains the first pressure-drop coefficient, simulates to obtain the second pressure-drop coefficient by the data on flows of actual measurement, in the first pressure drop system
Between several and the second pressure-drop coefficient in the lesser situation of deviation, using the two average value as the pressure-drop coefficient in final pipe, base
Refrigeration system simulation is carried out in the pressure-drop coefficient in final pipe, the side of coefficient is determined relative to existing rule of thumb parameter
Formula effectively increases the precision of refrigeration simulation software.
Obviously, those skilled in the art should be understood that each module of the above-mentioned embodiment of the present invention or each step can be with
It is realized with general computing device, they can be concentrated on a single computing device, or be distributed in multiple computing devices
On composed network, optionally, they can be realized with the program code that computing device can perform, it is thus possible to by it
Store and be performed by computing device in the storage device, and in some cases, can be held with the sequence for being different from herein
The shown or described step of row, perhaps they are fabricated to each integrated circuit modules or will be multiple in them
Module or step are fabricated to single integrated circuit module to realize.In this way, the embodiment of the present invention be not limited to it is any specific hard
Part and software combine.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the embodiment of the present invention can have various modifications and variations.All within the spirits and principles of the present invention, made
Any modification, equivalent substitution, improvement and etc. should all be included in the protection scope of the present invention.
Claims (11)
1. a kind of refrigeration system analogy method characterized by comprising
Obtain the N group experimental data of refrigeration system to be simulated, wherein N is positive integer, and the N group experimental data includes: that N group is real
Survey pressure drop data and N group measured discharge data corresponding with N group actual measurement pressure drop data；
Pressure drop data is surveyed by the N group to simulate to obtain N group analogue flow rate data and N number of first intermediate pressure-drop coefficient, is passed through
N number of first intermediate pressure drop Coefficient Fitting obtains the first pressure-drop coefficient；
N group modeled pressure drop data and N number of second intermediate pressure-drop coefficient are obtained by the N group measured discharge digital simulation, is passed through
N number of second intermediate pressure drop Coefficient Fitting obtains the second pressure-drop coefficient；
Determine whether the deviation between first pressure-drop coefficient and second pressure-drop coefficient is less than predetermined deviation threshold value, if
It is less than, then takes the average value of first pressure-drop coefficient and second pressure-drop coefficient as the pressure-drop coefficient in connecting tube pipe；
Refrigeration system simulation is carried out based on the pressure-drop coefficient in the connecting tube pipe；Wherein, the connecting tube is standard connection pipe,
Or long connecting tube or exhaust pipe or air intake duct.
2. simulating to obtain N group mould the method according to claim 1, wherein surveying pressure drop data by the N group
Quasi- data on flows and N number of first intermediate pressure-drop coefficient, obtain the first pressure drop system by N number of first intermediate pressure drop Coefficient Fitting
Number, comprising:
Pressure drop data is surveyed by the N group to simulate to obtain N group analogue flow rate data and N number of first intermediate pressure-drop coefficient；
The N group analogue flow rate data are compared with the N group measured discharge data, lookup deviates less than preset value
M group analogue flow rate data, wherein M is the positive integer less than or equal to N；
M corresponding with the M group analogue flow rate data the first intermediate pressure-drop coefficients are fitted, the first pressure drop system is obtained
Number.
3. the method according to claim 1, wherein obtaining N group mould by the N group measured discharge digital simulation
Quasi- pressure drop data and N number of second intermediate pressure-drop coefficient, obtain the second pressure drop system by N number of second intermediate pressure drop Coefficient Fitting
Number, comprising:
N group modeled pressure drop data and N number of second intermediate pressure-drop coefficient are obtained by the N group measured discharge digital simulation；
The N group modeled pressure drop data is compared with N group actual measurement pressure drop data, lookup deviates less than preset value
Q group modeled pressure drop data, wherein Q is the positive integer less than or equal to N；
Q corresponding with the Q group modeled pressure drop data the second intermediate pressure-drop coefficients are fitted, the second pressure drop system is obtained
Number.
4. according to the method in claim 2 or 3, which is characterized in that the preset value is 5%.
5. according to the method in any one of claims 1 to 3, which is characterized in that N is more than or equal to 50.
6. according to the method in any one of claims 1 to 3, which is characterized in that determine first pressure-drop coefficient with
Whether the deviation between second pressure-drop coefficient is less than after predetermined deviation threshold value, the method also includes:
If the deviation between first pressure-drop coefficient and second pressure-drop coefficient is not less than the predetermined deviation threshold value,
One or more groups of singular datas are rejected from the N group experimental data；
According to the experimental data after rejecting one or more groups of singular datas, it is fitted the first pressure-drop coefficient and the second pressure drop again
Coefficient, until the deviation between the first pressure-drop coefficient and the second pressure-drop coefficient that fitting obtains is less than predetermined deviation threshold value.
7. according to the method described in claim 6, it is characterized in that, the predetermined deviation threshold value is 10%.
8. a kind of refrigeration system simulator characterized by comprising
Module is obtained, for obtaining the N group experimental data of refrigeration system to be simulated, wherein N is positive integer, and the N group tests number
According to including: N group actual measurement pressure drop data and survey the corresponding N group measured discharge data of pressure drop data with the N group；
First fitting module is simulated to obtain N group analogue flow rate data and N number of first for surveying pressure drop data by the N group
Intermediate pressure-drop coefficient obtains the first pressure-drop coefficient by N number of first intermediate pressure drop Coefficient Fitting；
Second fitting module, for obtaining N group modeled pressure drop data and N number of second by the N group measured discharge digital simulation
Intermediate pressure-drop coefficient obtains the second pressure-drop coefficient by N number of second intermediate pressure drop Coefficient Fitting；
Determining module, for determining it is default whether the deviation between first pressure-drop coefficient and second pressure-drop coefficient is less than
Deviation threshold, if it is less, taking the average value of first pressure-drop coefficient and second pressure-drop coefficient as connecting tube pipe
Interior pressure-drop coefficient；
Analog module, for carrying out refrigeration system simulation based on the pressure-drop coefficient in the connecting tube pipe；Wherein, the connecting tube
For standard connection pipe or long connecting tube or exhaust pipe or air intake duct.
9. device according to claim 8, which is characterized in that first fitting module includes:
First analogue unit simulates to obtain N group analogue flow rate data and N number of first for surveying pressure drop data by the N group
Intermediate pressure-drop coefficient；
First comparing unit is searched for being compared the N group analogue flow rate data with the N group measured discharge data
It deviates less than the M group analogue flow rate data of preset value, wherein M is the positive integer less than or equal to N；
First fitting unit, for intending M corresponding with the M group analogue flow rate data the first intermediate pressure-drop coefficients
It closes, obtains the first pressure-drop coefficient.
10. device according to claim 8, which is characterized in that second fitting module includes:
Second analogue unit, for obtaining N group modeled pressure drop data and N number of second by the N group measured discharge digital simulation
Intermediate pressure-drop coefficient；
Second comparing unit is searched for the N group modeled pressure drop data to be compared with N group actual measurement pressure drop data
It deviates less than the Q group modeled pressure drop data of preset value, wherein Q is the positive integer less than or equal to N；
Second fitting unit, for intending Q corresponding with the Q group modeled pressure drop data the second intermediate pressure-drop coefficients
It closes, obtains the second pressure-drop coefficient.
11. device according to claim 9 or 10, which is characterized in that further include:
Module is rejected, for determining the deviation between first pressure-drop coefficient and second pressure-drop coefficient not less than described
Predetermined deviation threshold value then rejects one or more groups of singular datas from the N group experimental data；
Correction module, for being fitted the first pressure drop again according to the experimental data after rejecting one or more groups of singular datas
Coefficient and the second pressure-drop coefficient are preset until the deviation between the first pressure-drop coefficient and the second pressure-drop coefficient that fitting obtains is less than
Deviation threshold.
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