CN111625943B - Lamp cooling system steady parameter design method based on field experiment - Google Patents
Lamp cooling system steady parameter design method based on field experiment Download PDFInfo
- Publication number
- CN111625943B CN111625943B CN202010406101.4A CN202010406101A CN111625943B CN 111625943 B CN111625943 B CN 111625943B CN 202010406101 A CN202010406101 A CN 202010406101A CN 111625943 B CN111625943 B CN 111625943B
- Authority
- CN
- China
- Prior art keywords
- orthogonal table
- cooling system
- column
- lamp cooling
- allocated
- 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.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V29/00—Protecting lighting devices from thermal damage; Cooling or heating arrangements specially adapted for lighting devices or systems
- F21V29/50—Cooling arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/10—Noise analysis or noise optimisation
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Arrangement Of Elements, Cooling, Sealing, Or The Like Of Lighting Devices (AREA)
- Circuit Arrangements For Discharge Lamps (AREA)
Abstract
The invention discloses a lamp cooling system steady parameter design method based on a field experiment, which comprises the following steps: step 1, determining control factors and noise factors of a lamp cooling system based on a field experiment, and determining the level of the control factors; step 2, distributing controllable factors of the lamp cooling system to an orthogonal table; step 3, performing a field experiment based on control factors, noise factors and controllable factors of the lamp cooling system and collecting experimental data; step 4, obtaining the signal-to-noise ratio and the sensitivity of the lamp cooling system based on experimental data, and generating a main effect diagram of the signal-to-noise ratio and the sensitivity of the lamp cooling system; and 5, selecting the optimal condition of the lamp cooling system based on the signal-to-noise ratio and the main effect diagram of the sensitivity. Based on field experiments, a main effect diagram of signal to noise ratio and sensitivity is finally generated through experimental data, so that the optimal condition is selected, and the robustness of the lamp cooling system can be effectively improved.
Description
Technical Field
The invention relates to the technical field of robust parameter design, in particular to a lamp cooling system robust parameter design method based on field experiment.
Background
In practice, many product defects and malfunctions are due to deviations or changes in the product response from design target values due to changes and deterioration of the use environment (i.e., internal and external noise interference).
In the above context, the functional variability of the product throughout its lifetime from shipping to final processing results in its poor quality, leading to numerous environmental and socioeconomic losses (including losses to manufacturers and users). The product suppliers have the responsibility and obligation to offer robust products to the market to avoid losses and damage caused by product defects.
Application robustness is related to many conditions of use of an application, and it is currently common to evaluate the robustness of an application by simple measurements. To clarify the hidden factors related to robustness, the evaluation is done from the perspective of ideal function: the ideal function is a target function of the application, and in the robustness assessment, the actual function of the application needs to be measured and compared with the ideal function of the application, and in order to achieve the ideal function of the application, defects, failure modes or quality problems have to be avoided.
Disclosure of Invention
In order to solve the problems, the invention provides a robust parameter design method for a lamp cooling system based on a field experiment.
In order to achieve the above purpose, the invention provides a lamp cooling system robust parameter design method based on field experiment, comprising the following steps:
step 1, determining control factors and noise factors of a lamp cooling system based on a field experiment, and determining the level of the control factors;
step 2, distributing controllable factors of the lamp cooling system to an orthogonal table;
step 3, performing a field experiment based on control factors, noise factors and controllable factors of the lamp cooling system and collecting experimental data;
step 4, obtaining the signal-to-noise ratio and the sensitivity of the lamp cooling system based on experimental data, and generating a main effect diagram of the signal-to-noise ratio and the sensitivity of the lamp cooling system;
and 5, selecting the optimal condition of the lamp cooling system based on the signal-to-noise ratio and the main effect diagram of the sensitivity.
Further preferably, step 1 specifically comprises:
selecting M as a control factor by selecting the motor voltage of the lamp cooling system 1 、M 2 、M 3 A level value as a control factor;
selecting interference as a noise factor, i.e. selecting an obstacle present at the exhaust port of the lamp cooling system as a noise factor, and considering interference when the exhaust port is obstacleAt this time, the noise factor is N 1 When the exhaust port is free of obstruction, the exhaust port is considered to have no interference, and the noise factor is N 2 。
Further preferably, in step 2, the controllable factors include a baffle state, a distance between the equipment housing and the air inlet, a distance between the air inlet and the heat source, an opening distance, an exhaust duct height, a diameter of a top hole of the heat source, a diameter of a bottom hole of the heat source, and a distance between the heat source and the exhaust pipe, wherein:
the level value of the baffle plate state is A 1 、A 2 ；
The horizontal value of the distance between the equipment shell and the air inlet is B 1 、B 2 、B 3 ；
The horizontal value of the distance between the air inlet and the heat source is C 1 、C 2 、C 3 ；
The horizontal value of the opening distance is D 1 、D 2 、D 3 ；
The level value of the height of the exhaust pipeline is E 1 、E 2 、E 3 ；
The horizontal value of the diameter of the top hole of the heat source is F 1 、F 2 、F 3 ；
The horizontal value of the diameter of the bottom hole of the heat source is G 1 、G 2 、G 3 ；
The horizontal value of the distance between the heat source and the exhaust pipe is H 1 、H 2 、H 3 。
Further preferably, in step 2, the orthogonal table is a first orthogonal table L18, and the controllable factors of the lamp cooling system are allocated to the orthogonal table, specifically:
will A 1 1 st to 9 th rows allocated to 1 st column of the data portion in the first orthogonal table L18, will A 2 10 th to 18 th rows allocated to column 1 of the data portion in the first orthogonal table L18;
will A 1 Row 1-9 assigned to column 1 of the data portion of the first orthogonal table L18, will A 2 10 th-18 th rows allocated to column 1 of the data portion in the first orthogonal table L18;
will B 1 Row 1-3, 10-12 allocated to column 2 of the data portion of the first orthogonal table L18, B 2 Row 4-6, 13-15 allocated to column 2 of the data portion of the first orthogonal table L18, B 3 Rows 7-9, 16-18 assigned to column 2 of the data portion of the first orthogonal table L18;
c is C 1 Row 1, 4, 7, 10, 13, 16 allocated to column 3 of the data portion of the first orthogonal table L18, will C 2 Row 2, 5, 8, 11, 14, 17 allocated to column 3 of the data portion of the first orthogonal table L18, will C 3 Rows 3, 6, 9, 12, 15, 18 allocated to column 3 of the data portion in the first orthogonal table L18;
will D 1 Row 1, 4, 9, 11, 15, 17 allocated to column 4 of the data portion of the first orthogonal table L18, will D 2 Row 2, 5, 7, 12, 13, 18 allocated to column 4 of the data portion of the first orthogonal table L18, will D 3 Rows 3, 6, 8, 10, 14, 16 allocated to column 4 of the data portion in the first orthogonal table L18;
will E 1 Row 1, 6, 7, 11, 14, 18 allocated to column 5 of the data portion of the first orthogonal table L18, will E 2 Row 2, 4, 8, 12, 15, 16 allocated to column 5 of the data portion of the first orthogonal table L18, E 3 Rows 3, 5, 9, 10, 13, 17 allocated to column 5 of the data portion in the first orthogonal table L18;
will F 1 Rows 1, 6, 8, 12, 13, 17 allocated to column 6 of the data portion in the first orthogonal table L18, F 2 Row 2, 4, 9, 10, 14, 18 allocated to column 6 of the data portion of the first orthogonal table L18, F 3 Rows 3, 5, 7, 11, 15, 16 allocated to column 6 of the data portion in the first orthogonal table L18;
will G 1 Row 1, 5, 9, 12, 14, 16 allocated to column 7 of the data portion of the first orthogonal table L18, will G 2 Row 2, 6, 7, 10, 15, 17 allocated to column 7 of the data portion in the first orthogonal table L18, will G 3 Rows 3, 4, 8, 11, 13, 18 allocated to column 7 of the data portion in the first orthogonal table L18;
will H 1 Row 1, 5, 8, 10, 15, 18 allocated to column 8 of the data portion of the first orthogonal table L18, will H 2 Row 2, 6, 9, 11, 13, 16 allocated to column 8 of the data portion in the first orthogonal table L18 will H 3 Rows 3, 4, 7, 12, 14, 17 allocated to the 8 th column of the data portion in the first orthogonal table L18.
Further preferably, in step 3, the experimental data is an air flow rate measurement result;
the experimental data are collected specifically as follows:
collecting the air flow rate measurement result to a second orthogonal table L18, wherein the factor of the second orthogonal table L18 is M 1 、M 2 、M 3 、N 1 、N 2 。
Further preferably, in step 4, the signal-to-noise ratio and the sensitivity are calculated based on experimental data, which specifically includes:
calculating the signal-to-noise ratio and sensitivity of each row in the second orthogonal table L18 with the air flow rate measurement result;
for each row in the second orthogonal table L18, there is:
obtaining the sum of squares S of the nth row in the second orthogonal table L18 T Sum of squares of control factors r:
wherein x is n1 Representing the control factor M in the nth row of the second orthogonal table L18 1 The noise factor is N 1 Experimental data at time x n2 Representing the control factor M in the second orthogonal table L18 1 The noise factor is N 2 Experimental data at time x n3 Representing the control factor M in the second orthogonal table L18 2 The noise factor is N 1 Experimental data at time x n4 Represents the nth row in the second orthogonal table L18Control factor M 2 The noise factor is N 2 Experimental data at time x n5 Representing the control factor M in the second orthogonal table L18 3 The noise factor is N 1 Experimental data at time x n6 Representing the control factor M in the second orthogonal table L18 3 The noise factor is N 2 Experimental data at time, where n is a positive integer and n<19；
Acquiring noise factor N 1 、N 2 The corresponding linear form:
L 1 ＝M 1 ·x n1 +M 2 ·x n3 +M 3 ·x n5
L 2 ＝M 1 ·x n2 +M 2 ·x n4 +M 3 ·x n6
wherein L is 1 Is the noise factor N 1 Corresponding linear form, L 2 Is the noise factor N 2 A corresponding linear form;
acquiring noise factor N 1 、N 2 The sum of squares of the linear slopes of the corresponding linear forms:
wherein S is β Is the noise factor N 1 、N 2 The sum of squares of the linear slopes of the corresponding linear forms;
acquisition of the N 1 And N 2 The sum of squares caused by the change in linear slope between:
wherein S is N×β Is made up of N 1 And N 2 The sum of squares caused by the change in linear slope between;
obtaining the error square sum, the error variance and the variance caused by the combination error of the nth row in the second orthogonal table L18:
S e ＝S T -S β -S N×β
wherein S is e Represents the sum of squares of errors of the nth row in the second orthogonal table L18, V e Representing the error variance of the nth row in the second orthogonal table L18, V N Representing the variance due to the n-th row combination error in the second orthogonal table L18;
acquiring the signal-to-noise ratio and sensitivity of the nth row in the second orthogonal table L18:
where η is the signal-to-noise ratio of the nth row in the second orthogonal table L18, and s is the sensitivity of the nth row in the second orthogonal table L18.
Further preferably, in step 4, the process of generating the main effect map of signal to noise ratio and sensitivity of the lamp cooling system is as follows:
acquiring signal-to-noise ratio and sensitivity of each row in the second orthogonal table L18, and distributing each group of signal-to-noise ratio and sensitivity to the third orthogonal table L18;
obtaining a signal-to-noise ratio average value and a sensitivity average value corresponding to each level value of each controllable factor in the lamp cooling system based on the corresponding relation between the third orthogonal table L18 and the first orthogonal table L18;
and taking each horizontal value of each controllable factor in the lamp cooling system as an X axis, taking a signal-to-noise ratio average value and a sensitivity average value corresponding to each horizontal value of each controllable factor in the lamp cooling system as a Y axis, and generating a main effect diagram of the signal-to-noise ratio and the sensitivity of the lamp cooling system.
Further preferably, in step 5, the optimal condition of the lamp cooling system is selected based on the signal-to-noise ratio and the main effect diagram of sensitivity, specifically:
selecting one of a signal-to-noise ratio main effect map and a sensitivity main effect map as an optimal condition effect map according to the priorities of the signal-to-noise ratio and the sensitivity;
and generating the optimal condition of the lamp cooling system according to the optimal condition effect diagram, wherein the optimal condition is the horizontal value of each controllable factor in the lamp cooling system when the signal-to-noise ratio or the sensitivity in the signal-to-noise ratio main effect diagram or the sensitivity main effect diagram is maximum.
In order to achieve the above objective, the present invention further provides a robust parameter design system for a lamp cooling system based on a field experiment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method when executing the computer program.
To achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described method.
Advantageous effects
The method for designing the steady parameters of the lamp cooling system based on the field experiment provided by the invention is based on the field experiment, and finally generates the main effect diagram of signal to noise ratio and sensitivity through experimental data, so that the optimal condition of the lamp cooling system is selected, and the robustness of the lamp cooling system can be effectively improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for designing robust parameters of a lamp cooling system based on field experiments in an embodiment of the invention;
FIG. 2 is a graph of the primary effect of signal-to-noise ratio in an embodiment of the invention;
FIG. 3 is a main effect diagram of sensitivity in an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that all directional indicators (such as up, down, left, right, front, and rear … …) in the embodiments of the present invention are merely used to explain the relative positional relationship, movement, etc. between the components in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is changed accordingly.
Furthermore, descriptions such as those referred to as "first," "second," and the like, are provided for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implying an order of magnitude of the indicated technical features in the present disclosure. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the present invention, unless specifically stated and limited otherwise, the terms "connected," "affixed," and the like are to be construed broadly, and for example, "affixed" may be a fixed connection, a removable connection, or an integral body; the device can be mechanically connected, electrically connected, physically connected or wirelessly connected; either directly or indirectly, through intermediaries, or both, may be in communication with each other or in interaction with each other, unless expressly defined otherwise. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In addition, the technical solutions of the embodiments of the present invention may be combined with each other, but it is necessary to be based on the fact that those skilled in the art can implement the technical solutions, and when the technical solutions are contradictory or cannot be implemented, the combination of the technical solutions should be considered as not existing, and not falling within the scope of protection claimed by the present invention.
Fig. 1 shows a design method of robust parameters of a lamp cooling system based on a field experiment, which includes the following steps:
step 1, determining control factors and noise factors of a lamp cooling system based on field experiments, and determining the level of the control factors
The input signal to the lamp cooling system changes the cooling air flow by applying a voltage to the motor, thus selecting the motor voltage of the lamp cooling system as the control factor, and the value of the motor voltage is typically 0-25V, thus selecting M 1 ＝5V、M 2 ＝15V、M 3 A horizontal value of =25v as a control factor;
the noise factor is selected from the noise conditions such as environmental conditions, system part degradation and the like, and because the air flow is disturbed and the cooling efficiency is reduced when the air outlet of the cooling system is selected to have an obstacle, the selected interference is taken as the noise factor, namely the obstacle existing at the air outlet of the cooling system of the lamp is selected to be taken as the noise factor, and the air outlet is considered to have the interference when the air outlet has the obstacle, and the noise factor is N 1 No, no interference is considered when the exhaust port is clear, the noise factor is N 2 ＝Yes。
Step 2, distributing controllable factors of the lamp cooling system to an orthogonal table
Wherein, controllable factors include baffle state, distance between equipment shell and the air inlet, distance between air inlet and the heat source, opening distance, exhaust duct height, diameter of heat source top hole, diameter of heat source bottom hole, distance between heat source and the blast pipe, specifically:
the level value of the baffle plate state is A 1 ＝No、A 2 ＝Yes；
The horizontal value of the distance between the equipment shell and the air inlet is B 1 ＝20、B 2 ＝40、B 3 =60, in mm;
the horizontal value of the distance between the air inlet and the heat source is C 1 ＝110、C 2 ＝40、C 3 =40, in mm;
the horizontal value of the opening distance is D 1 ＝30、D 2 ＝15、D 3 =0, in mm;
the level value of the height of the exhaust pipeline is E 1 ＝30、E 2 ＝15、E 3 =0, in mm;
the horizontal value of the diameter of the top hole of the heat source is F 1 ＝Large、F 2 ＝Medium、F 3 ＝No；
The horizontal value of the diameter of the bottom hole of the heat source is G 1 ＝No、G 2 ＝Medium、G 3 ＝Large；
The horizontal value of the distance between the heat source and the exhaust pipe is H 1 ＝60、H 2 ＝50、H 3 =40, in mm;
wherein, the level value No of the baffle state indicates that the baffle is not opened, and the level value Yes of the baffle state indicates that the baffle is opened; the horizontal value of the diameter of the heat source top hole Large represents the diameter of the heat source top hole with a Large diameter, the horizontal value of the diameter of the heat source top hole Medium represents the diameter of the heat source top hole with a Medium diameter, and the horizontal value of the diameter of the heat source top hole No represents the absence of the heat source top hole; the horizontal value No of the diameter of the heat source bottom hole indicates No heat source bottom hole, the horizontal value Medium of the diameter of the heat source bottom hole indicates the diameter of the heat source bottom hole with a Medium diameter, and the horizontal value Large of the diameter of the heat source bottom hole indicates the diameter of the heat source bottom hole with a Large diameter.
In this embodiment, the Level1, level2, and Level3 are used to represent the Level values of each controllable factor, which is shown in the following table 1:
TABLE 1 controllable factor and level of lamp cooling system
| Controllable factor | Level1 | Level2 | Level3 |
| Baffle plate state | No | Yes | - |
| Distance (mm) between equipment housing and air inlet | 20 | 40 | 60 |
| Distance (mm) between air inlet and heat source | 110 | 60 | 40 |
| Distance of opening (mm) | 30 | 15 | 0 |
| Exhaust duct height (mm) | 30 | 15 | 0 |
| Diameter (mm) of heat source top hole | Large | Medium | No |
| Diameter (mm) of heat source bottom hole | No | Medium | Large |
| Distance (mm) between heat source and exhaust pipe | 60 | 50 | 40 |
The lamp cooling system controllable factors are then assigned to a first orthogonal table L18 shown in table 2, where a represents the baffle state, B represents the distance between the equipment enclosure and the air inlet, C represents the distance between the air inlet and the heat source, D represents the opening distance, E represents the exhaust duct height, F represents the diameter of the heat source top hole, G represents the diameter of the heat source bottom hole, H represents the distance between the heat source and the exhaust duct:
TABLE 2 first orthogonality Table L18
| Sequence number | A | B | C | D | E | F | G | H |
| 1 | No | 20 | 110 | 30 | 30 | Large | No | 60 |
| 2 | No | 20 | 60 | 15 | 15 | Medium | Medium | 50 |
| 3 | No | 20 | 40 | 0 | 0 | No | Large | 40 |
| 4 | No | 40 | 110 | 30 | 15 | Medium | Large | 40 |
| 5 | No | 40 | 60 | 15 | 0 | No | No | 60 |
| 6 | No | 40 | 40 | 0 | 30 | Large | Medium | 50 |
| 7 | No | 60 | 110 | 15 | 30 | No | Medium | 40 |
| 8 | No | 60 | 60 | 0 | 15 | Large | Large | 60 |
| 9 | No | 60 | 40 | 30 | 0 | Medium | No | 50 |
| 10 | Yes | 20 | 110 | 0 | 0 | Medium | Medium | 60 |
| 11 | Yes | 20 | 60 | 30 | 30 | No | Large | 50 |
| 12 | Yes | 20 | 40 | 15 | 15 | Large | No | 40 |
| 13 | Yes | 40 | 110 | 15 | 0 | Large | Large | 50 |
| 14 | Yes | 40 | 60 | 0 | 30 | Medium | No | 40 |
| 15 | Yes | 40 | 40 | 30 | 15 | No | Medium | 60 |
| 16 | Yes | 60 | 110 | 0 | 15 | No | No | 50 |
| 17 | Yes | 60 | 60 | 30 | 0 | Large | Medium | 40 |
| 18 | Yes | 60 | 40 | 15 | 30 | Medium | Large | 60 |
And step 3, performing a field experiment based on control factors, noise factors and controllable factors of the lamp cooling system and collecting experimental data.
Wherein, experimental data air flow rate measurement results;
the experimental data are collected specifically as follows:
collecting the air flow rate measurement result to a second orthogonal table L18, wherein the factor of the second orthogonal table L18 is M 1 、M 2 、M 3 、N 1 、N 2 Namely, a second orthogonal table L18 shown in table 3:
TABLE 3 second orthogonality table L18
Step 4, obtaining the signal-to-noise ratio and the sensitivity of the lamp cooling system based on the experimental data, and generating a main effect diagram of the signal-to-noise ratio and the sensitivity of the lamp cooling system
The signal-to-noise ratio and the sensitivity are calculated based on experimental data, and specifically:
calculating the signal-to-noise ratio and sensitivity of each row in the second orthogonal table L18 with the air flow rate measurement result;
for each row in the second orthogonal table L18, there is:
obtaining the sum of squares S of the nth row in the second orthogonal table L18 T Sum of squares of control factors r:
wherein x is n1 Representing the control factor M in the nth row of the second orthogonal table L18 1 The noise factor is N 1 Experimental data at time x n2 Representing the control factor M in the second orthogonal table L18 1 The noise factor is N 2 Experimental data at time x n3 Representing the control factor M in the second orthogonal table L18 2 The noise factor is N 1 Experimental data at time x n4 Represents the nth row control factor M in the second orthogonal table L18 2 The noise factor is N 2 Experimental data at time x n5 Representing the control factor M in the second orthogonal table L18 3 The noise factor is N 1 Experimental data at time x n6 Representing the control factor M in the second orthogonal table L18 3 The noise factor is N 2 Experimental data at time, where n is a positive integer and n<19；
Acquiring noise factor N 1 、N 2 The corresponding linear form:
L 1 ＝M 1 ·x n1 +M 2 ·x n3 +M 3 ·x n5
L 2 ＝M 1 ·x n2 +M 2 ·x n4 +M 3 ·x n6
wherein L is 1 Is the noise factor N 1 Corresponding linear form, L 2 Is the noise factor N 2 A corresponding linear form;
acquiring noise factor N 1 、N 2 The sum of squares of the linear slopes of the corresponding linear forms:
wherein S is β Is the noise factor N 1 、N 2 The sum of squares of the linear slopes of the corresponding linear forms;
acquisition of the N 1 And N 2 The sum of squares caused by the change in linear slope between:
wherein S is N×β Is made up of N 1 And N 2 The sum of squares caused by the change in linear slope between;
obtaining the error square sum, the error variance and the variance caused by the combination error of the nth row in the second orthogonal table L18:
S e ＝S T -S β -S N×β
wherein S is e Represents the sum of squares of errors of the nth row in the second orthogonal table L18, V e Representing the error variance of the nth row in the second orthogonal table L18, V N Representing the variance due to the n-th row combination error in the second orthogonal table L18;
acquiring the signal-to-noise ratio and sensitivity of the nth row in the second orthogonal table L18:
where η is the signal-to-noise ratio of the nth row in the second orthogonal table L18, and s is the sensitivity of the nth row in the second orthogonal table L18.
Taking the first row in the second orthogonal table L18 as an example:
S T ＝0.12 2 +0.09 2 +0.31 2 +0.26 2 +0.44 2 +0.41 2 ＝0.547900
r＝5 2 +15 2 +25 2 ＝875
L 1 ＝5×0.12+15×0.31+25×0.44＝16.250000
L 2 ＝5×0.09+15×0.26+25×0.41＝14.600000
the process for generating the main effect diagram of the signal-to-noise ratio and the sensitivity of the lamp cooling system comprises the following steps:
acquiring a signal-to-noise ratio and sensitivity including each row in the second orthogonal table L18, and assigning each group of signal-to-noise ratios and sensitivities to the third orthogonal table L18 shown in table 4:
TABLE 4 third orthogonality Table L18
Obtaining a signal-to-noise ratio average value and a sensitivity average value corresponding to each level value of each controllable factor in the lamp cooling system based on the corresponding relation between the third orthogonal table L18 and the first orthogonal table L18, namely based on A 1 Calculating the L18 rows of the first orthogonal table to obtain a baffle state level value A 1 Corresponding signal-to-noise ratio average and sensitivity average, e.g. A 1 The first orthogonal table L18 is the 1 st to 9 th rows, so that the signal-to-noise ratio and the sensitivity of the 1 st to 9 th rows in the third orthogonal table L18 are averaged to obtain the baffle state level value A 1 The corresponding snr average and sensitivity average, and so on, to obtain the snr average and sensitivity average corresponding to all the level values of all the controllable factors in the lamp cooling system, as shown in table 5 below:
average of signal-to-noise ratio and sensitivity
And taking each horizontal value of each controllable factor in the lamp cooling system as an X axis, taking a signal-to-noise ratio average value and a sensitivity average value corresponding to each horizontal value of each controllable factor in the lamp cooling system as a Y axis, and generating a main effect diagram of the signal-to-noise ratio and the sensitivity of the lamp cooling system, wherein the main effect diagram is shown in FIG. 2, and the main effect diagram is shown in FIG. 3.
Step 5, selecting the optimal condition of the lamp cooling system based on the main effect diagram of the signal-to-noise ratio and the sensitivity, wherein the optimal condition is specifically as follows:
selecting one of a signal-to-noise ratio main effect map and a sensitivity main effect map as an optimal condition effect map according to the priorities of the signal-to-noise ratio and the sensitivity;
and generating the optimal condition of the lamp cooling system according to the optimal condition effect diagram, wherein the optimal condition is the horizontal value of each controllable factor in the lamp cooling system when the signal-to-noise ratio or the sensitivity in the signal-to-noise ratio main effect diagram or the sensitivity main effect diagram is maximum.
In this embodiment, the signal-to-noise ratio in the lamp cooling system is prioritized higher, so the signal is selectedAs can be seen from FIG. 2, when the level value of each controllable factor in the lamp cooling system is A 2 、B 2 、C 3 、D 1 、E 3 、F 1 、G 1 、H 3 And is the optimal condition of the lamp cooling system.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structural changes made by the description of the present invention and the accompanying drawings or direct/indirect application in other related technical fields are included in the scope of the invention.
Claims (5)
1. A lamp cooling system robust parameter design method based on a field experiment is characterized by comprising the following steps:
step 1, determining control factors and noise factors of a lamp cooling system based on a field experiment, and determining the level of the control factors;
step 2, distributing controllable factors of the lamp cooling system to an orthogonal table;
step 3, performing a field experiment based on control factors, noise factors and controllable factors of the lamp cooling system and collecting experimental data;
step 4, obtaining the signal-to-noise ratio and the sensitivity of the lamp cooling system based on experimental data, and generating a main effect diagram of the signal-to-noise ratio and the sensitivity of the lamp cooling system;
step 5, selecting the optimal condition of the lamp cooling system based on the main effect diagram of the signal-to-noise ratio and the sensitivity;
selecting M as a control factor by selecting the motor voltage of the lamp cooling system 1 、M 2 、M 3 A level value as a control factor;
selecting interference as noise factor, i.e. selecting obstacle existing in the exhaust port of lamp cooling system as noise factor, and considering interference when the exhaust port has obstacle, wherein the noise factor is N 1 When the exhaust port is free of obstruction, the exhaust port is considered to have no interference, and the noise factor is N 2 ；
In step 2, the controllable factors include a baffle state, a distance between the equipment housing and the air inlet, a distance between the air inlet and the heat source, an opening distance, an exhaust duct height, a diameter of a top hole of the heat source, a diameter of a bottom hole of the heat source, and a distance between the heat source and the exhaust pipe, wherein:
the level value of the baffle plate state is A 1 、A 2 ；
The horizontal value of the distance between the equipment shell and the air inlet is B 1 、B 2 、B 3 ；
The horizontal value of the distance between the air inlet and the heat source is C 1 、C 2 、C 3 ；
The horizontal value of the opening distance is D 1 、D 2 、D 3 ；
The level value of the height of the exhaust pipeline is E 1 、E 2 、E 3 ；
The horizontal value of the diameter of the top hole of the heat source is F 1 、F 2 、F 3 ；
The horizontal value of the diameter of the bottom hole of the heat source is G 1 、G 2 、G 3 ；
The horizontal value of the distance between the heat source and the exhaust pipe is H 1 、H 2 、H 3 ；
In step 2, the orthogonal table is a first orthogonal table L18, and the controllable factors of the lamp cooling system are allocated to the orthogonal table, specifically:
will A 1 1 st to 9 th rows allocated to 1 st column of the data portion in the first orthogonal table L18, will A 2 10 th to 18 th rows allocated to column 1 of the data portion in the first orthogonal table L18;
will A 1 Row 1-9 assigned to column 1 of the data portion of the first orthogonal table L18, will A 2 10 th-18 th rows allocated to column 1 of the data portion in the first orthogonal table L18;
will B 1 Row 1-3, 10-12 allocated to column 2 of the data portion of the first orthogonal table L18, B 2 To rows 4-6, 13-15 of column 2 of the data portion of the first orthogonal table L18,will B 3 Rows 7-9, 16-18 assigned to column 2 of the data portion of the first orthogonal table L18;
c is C 1 Row 1, 4, 7, 10, 13, 16 allocated to column 3 of the data portion of the first orthogonal table L18, will C 2 Row 2, 5, 8, 11, 14, 17 allocated to column 3 of the data portion of the first orthogonal table L18, will C 3 Rows 3, 6, 9, 12, 15, 18 allocated to column 3 of the data portion in the first orthogonal table L18;
will D 1 Row 1, 4, 9, 11, 15, 17 allocated to column 4 of the data portion of the first orthogonal table L18, will D 2 Row 2, 5, 7, 12, 13, 18 allocated to column 4 of the data portion of the first orthogonal table L18, will D 3 Rows 3, 6, 8, 10, 14, 16 allocated to column 4 of the data portion in the first orthogonal table L18;
will E 1 Row 1, 6, 7, 11, 14, 18 allocated to column 5 of the data portion of the first orthogonal table L18, will E 2 Row 2, 4, 8, 12, 15, 16 allocated to column 5 of the data portion of the first orthogonal table L18, E 3 Rows 3, 5, 9, 10, 13, 17 allocated to column 5 of the data portion in the first orthogonal table L18;
will F 1 Rows 1, 6, 8, 12, 13, 17 allocated to column 6 of the data portion in the first orthogonal table L18, F 2 Row 2, 4, 9, 10, 14, 18 allocated to column 6 of the data portion of the first orthogonal table L18, F 3 Rows 3, 5, 7, 11, 15, 16 allocated to column 6 of the data portion in the first orthogonal table L18;
will G 1 Row 1, 5, 9, 12, 14, 16 allocated to column 7 of the data portion of the first orthogonal table L18, will G 2 Row 2, 6, 7, 10, 15, 17 allocated to column 7 of the data portion in the first orthogonal table L18, will G 3 Rows 3, 4, 8, 11, 13, 18 allocated to column 7 of the data portion in the first orthogonal table L18;
will H 1 Row 1, 5, 8, 10, 15, 18 allocated to column 8 of the data portion of the first orthogonal table L18, will H 2 2 nd, 6 th, 9 th, 11 th of the 8 th column of the data portion allocated to the first orthogonal table L18,13. 16 rows, H 3 Rows 3, 4, 7, 12, 14, 17 allocated to column 8 of the data portion in the first orthogonal table L18;
in step 3, the experimental data is an air flow rate measurement result;
the experimental data are collected specifically as follows:
collecting the air flow rate measurement result to a second orthogonal table L18, wherein the factor of the second orthogonal table L18 is M 1 、M 2 、M 3 、N 1 、N 2 ；
In step 4, the signal-to-noise ratio and the sensitivity are calculated based on the experimental data, which specifically includes:
calculating the signal-to-noise ratio and sensitivity of each row in the second orthogonal table L18 with the air flow rate measurement result;
for each row in the second orthogonal table L18, there is:
obtaining the sum of squares S of the nth row in the second orthogonal table L18 T Sum of squares of control factors r:
wherein x is n1 Representing the control factor M in the nth row of the second orthogonal table L18 1 The noise factor is N 1 Experimental data at time x n2 Representing the control factor M in the second orthogonal table L18 1 The noise factor is N 2 Experimental data at time x n3 Representing the control factor M in the second orthogonal table L18 2 The noise factor is N 1 Experimental data at time x n4 Represents the nth row control factor M in the second orthogonal table L18 2 The noise factor is N 2 Experimental data at time x n5 Representing the control factor M in the second orthogonal table L18 3 The noise factor is N 1 Experimental data at time x n6 Representing a second orthogonal table L18 control factor M 3 The noise factor is N 2 Experimental data at time, where n is a positive integer and n<19；
Acquiring noise factor N 1 、N 2 The corresponding linear form:
L 1 ＝M 1 ·x n1 +M 2 ·x n3 +M 3 ·x n5
L 2 ＝M 1 ·x n2 +M 2 ·x n4 +M 3 ·x n6
wherein L is 1 Is the noise factor N 1 Corresponding linear form, L 2 Is the noise factor N 2 A corresponding linear form;
acquiring noise factor N 1 、N 2 The sum of squares of the linear slopes of the corresponding linear forms:
wherein S is β Is the noise factor N 1 、N 2 The sum of squares of the linear slopes of the corresponding linear forms;
acquisition of the N 1 And N 2 The sum of squares caused by the change in linear slope between:
wherein S is N×β Is made up of N 1 And N 2 The sum of squares caused by the change in linear slope between;
obtaining the error square sum, the error variance and the variance caused by the combination error of the nth row in the second orthogonal table L18:
S e ＝S T -S β -S N×β
wherein S is e Represents the sum of squares of errors of the nth row in the second orthogonal table L18, V e Representing the error variance of the nth row in the second orthogonal table L18, V N Representing the variance due to the n-th row combination error in the second orthogonal table L18;
acquiring the signal-to-noise ratio and sensitivity of the nth row in the second orthogonal table L18:
where η is the signal-to-noise ratio of the nth row in the second orthogonal table L18, and s is the sensitivity of the nth row in the second orthogonal table L18.
2. The method for designing robust parameters of a lamp cooling system based on field experiments as claimed in claim 1, wherein in step 4, the process of generating the main effect diagram of signal to noise ratio and sensitivity of the lamp cooling system is as follows:
acquiring signal-to-noise ratio and sensitivity of each row in the second orthogonal table L18, and distributing each group of signal-to-noise ratio and sensitivity to the third orthogonal table L18;
obtaining a signal-to-noise ratio average value and a sensitivity average value corresponding to each level value of each controllable factor in the lamp cooling system based on the corresponding relation between the third orthogonal table L18 and the first orthogonal table L18;
and taking each horizontal value of each controllable factor in the lamp cooling system as an X axis, taking a signal-to-noise ratio average value and a sensitivity average value corresponding to each horizontal value of each controllable factor in the lamp cooling system as a Y axis, and generating a main effect diagram of the signal-to-noise ratio and the sensitivity of the lamp cooling system.
3. The method for designing robust parameters of a lamp cooling system based on field experiments according to claim 2, wherein in step 5, the main effect diagram based on signal-to-noise ratio and sensitivity selects the optimal conditions of the lamp cooling system, specifically:
selecting one of a signal-to-noise ratio main effect map and a sensitivity main effect map as an optimal condition effect map according to the priorities of the signal-to-noise ratio and the sensitivity;
and generating the optimal condition of the lamp cooling system according to the optimal condition effect diagram, wherein the optimal condition is the horizontal value of each controllable factor in the lamp cooling system when the signal-to-noise ratio or the sensitivity in the signal-to-noise ratio main effect diagram or the sensitivity main effect diagram is maximum.
4. A luminaire cooling system robust parameter design system based on a field experiment, comprising a memory and a processor, said memory storing a computer program, characterized in that the processor, when executing said computer program, implements the steps of the method according to any one of claims 1 to 3.
5. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010406101.4A CN111625943B (en) | 2020-05-14 | 2020-05-14 | Lamp cooling system steady parameter design method based on field experiment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010406101.4A CN111625943B (en) | 2020-05-14 | 2020-05-14 | Lamp cooling system steady parameter design method based on field experiment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111625943A CN111625943A (en) | 2020-09-04 |
| CN111625943B true CN111625943B (en) | 2023-08-15 |
Family
ID=72271008
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010406101.4A Active CN111625943B (en) | 2020-05-14 | 2020-05-14 | Lamp cooling system steady parameter design method based on field experiment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111625943B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105046079A (en) * | 2015-07-17 | 2015-11-11 | 北京航空航天大学 | D-optimal inner table design based Taguchi experimental design method |
| TW201712138A (en) * | 2015-09-30 | 2017-04-01 | Nat Kaohsiung First Univ Of Science And Tech | Method for optimizing parameters of stamping die diamond-like carbon coating and stamping die using the same capable of providing robust Taguchi parameters by repeating the test based on a parameter optimization experiment |
| CN109002599A (en) * | 2018-07-04 | 2018-12-14 | 重庆交通大学 | The automobile ride method for optimization analysis tested based on field cause for gossip |
| WO2019021670A1 (en) * | 2017-07-27 | 2019-01-31 | 株式会社Ｓｃｒｅｅｎホールディングス | Parameter design assistance device, and parameter design assistance method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7904281B2 (en) * | 2003-08-07 | 2011-03-08 | Panasonic Corporation | Mounting process simulation system and method thereof |
-
2020
- 2020-05-14 CN CN202010406101.4A patent/CN111625943B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105046079A (en) * | 2015-07-17 | 2015-11-11 | 北京航空航天大学 | D-optimal inner table design based Taguchi experimental design method |
| TW201712138A (en) * | 2015-09-30 | 2017-04-01 | Nat Kaohsiung First Univ Of Science And Tech | Method for optimizing parameters of stamping die diamond-like carbon coating and stamping die using the same capable of providing robust Taguchi parameters by repeating the test based on a parameter optimization experiment |
| WO2019021670A1 (en) * | 2017-07-27 | 2019-01-31 | 株式会社Ｓｃｒｅｅｎホールディングス | Parameter design assistance device, and parameter design assistance method |
| CN109002599A (en) * | 2018-07-04 | 2018-12-14 | 重庆交通大学 | The automobile ride method for optimization analysis tested based on field cause for gossip |
Non-Patent Citations (1)
| Title |
|---|
| 赖宇阳.《Isight参数优化理论与实例详解》.北京航空航天大学出版社,2012,第216-218页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111625943A (en) | 2020-09-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Delignette-Muller et al. | fitdistrplus: An R package for fitting distributions | |
| Slovak et al. | A scalable open-source pipeline for large-scale root phenotyping of Arabidopsis | |
| CN104597393B (en) | A kind of determination method and device of chip maximum operating frequency | |
| CN111007485B (en) | Image processing method and device and computer storage medium | |
| CN111625943B (en) | Lamp cooling system steady parameter design method based on field experiment | |
| CN106403072B (en) | Outdoor unit and dust deposition detection method thereof | |
| CN109543704B (en) | Multi-target clustering method and device for automobile and vehicle-mounted radar | |
| CN105373703B (en) | A kind of adaptive ability test system based on forgetting curve | |
| CN113034485A (en) | Circle detection method integrating Hough transformation and caliper clustering | |
| CN112066511A (en) | Control method of electronic expansion valve, air conditioner and computer equipment | |
| WO2016056113A1 (en) | Energy saving diagnosis device, energy saving diagnosis method, and program | |
| CN112669290A (en) | Image comparison method and device | |
| CN111126822A (en) | Industrial robot health assessment method and device and storage medium | |
| SE1250017A1 (en) | System and method for providing diagnostic error information based on content from two databases | |
| Braun et al. | Estimation of σ for Individuals Charts | |
| CN110595000A (en) | Air pipe indoor unit static pressure self-adaptive control method and system and air pipe indoor unit | |
| CN108989105B (en) | Propagation path diagram generation method and device and server | |
| CN114745661B (en) | Data processing method for wireless sensor network node positioning | |
| Koo | Logspline deconvolution in Besov space | |
| CN108758991B (en) | Control method of air conditioner, air conditioner and computer readable storage medium | |
| CN109726992B (en) | Task completion time evaluation method and device | |
| WO2022141531A1 (en) | Image registration evaluation method and apparatus, and electronic device and readable storage medium | |
| CN117153282B (en) | Method, device, medium and equipment for calculating reference temperature of combustion chamber of gas turbine | |
| US9565789B2 (en) | Determining regions of influence of fluid moving devices | |
| CN108345572A (en) | A kind of acquisition methods and system of multi-sensor parameter stable state period |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |