CN109295597A - A kind of loom shuttle box conversion control device and control method - Google Patents
A kind of loom shuttle box conversion control device and control method Download PDFInfo
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- CN109295597A CN109295597A CN201811071139.XA CN201811071139A CN109295597A CN 109295597 A CN109295597 A CN 109295597A CN 201811071139 A CN201811071139 A CN 201811071139A CN 109295597 A CN109295597 A CN 109295597A
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- D—TEXTILES; PAPER
- D03—WEAVING
- D03D—WOVEN FABRICS; METHODS OF WEAVING; LOOMS
- D03D43/00—Looms with change-boxes
- D03D43/02—Looms with change-boxes with drop boxes
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- D03—WEAVING
- D03D—WOVEN FABRICS; METHODS OF WEAVING; LOOMS
- D03D51/00—Driving, starting, or stopping arrangements; Automatic stop motions
- D03D51/18—Automatic stop motions
- D03D51/34—Weft stop motions
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- D—TEXTILES; PAPER
- D03—WEAVING
- D03J—AUXILIARY WEAVING APPARATUS; WEAVERS' TOOLS; SHUTTLES
- D03J1/00—Auxiliary apparatus combined with or associated with looms
- D03J1/002—Climatic conditioning or removing lint or dust
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
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Abstract
The invention belongs to loom shuttle box switch technology field, disclosing a kind of loom shuttle box conversion control device and control method, control device includes: the first side shuttle box, multilayer cylinder, computer controller, second side shuttle box, solenoid valve；First side shuttle box, second side shuttle box bottom are connected multilayer cylinder respectively；Multilayer cylinder bottom has been screwed solenoid valve.The present invention eliminates original component of machine, directly controls cylinder using computer, so that this product is upgraded to 6x6 shuttle box from original 4x4 shuttle box, and do not need excessive Mechanical course, it is more to reduce mechanical transmission part；The weft that the present invention solves loom is disconnected, and not parking, to avoid production substandard products cloth；Woven fabric environment can be purified by the dust catcher of setting, keeps the clean hygiene of woven fabric environment；Entire control device structure is simple and clear, and failure rate is low, easy to maintenance, greatly reduces the labor intensity of worker, improves work efficiency.
Description
Technical field
The invention belongs to loom shuttle box switch technology field more particularly to a kind of loom shuttle box conversion control device and
Control method.
Background technique
There are many Yarn-dyed fabric in China at present, especially some ethnic group's articles, for example, Nanjing brocade, hiding robe, ancient times theatrical costume,
Cashmere scarf product etc., the control of weft yarn color, which is all confined to most weft yarns, can only use 1-7 kind, and before the Semu 1-4
Comparative maturity, but more than 4 colors -7 colors, the conversion of multi-shuttle box is there are many problems, and it is more to be mainly derived from component of machine, control
Modular construction processed is complicated, and debugging difficulty is big etc., domestic in recent years substantially using electronic control electromagnet, is passing through electromagnet and machine
Tool components control multi-shuttle box elevating mechanism together, realize that the weft yarn of 1-4 color is freely converted.Although the shuttle box of 2x4 may be used
To manufacture qualified product, but since loom revolving speed is low, vulnerable part causes the low-down phenomenon of production efficiency more.
In conclusion problem of the existing technology is:
Existing loom revolving speed is low, and vulnerable part causes the low-down phenomenon of production efficiency more；Component of machine is easy simultaneously
Loss, inconvenient debugging, shuttle box fluctuation of service, electronic product and mechanical part, which combine, causes shuttle box quantity not increase, at most
4x4, and since component of machine causes the warp let-off bad more, maintenance cost is high, speed bottom, and production efficiency can only achieve 65% left side
It is right；Meanwhile existing loom cannot check weft situation in time, be easy to produce substandard products cloth；It is easy to produce largely in woven fabric process
Dust, influence environmental sanitation.
In present computer controller control multilayer cylinder charge and deflation, control signal capabilities are poor, cannot accurately control
The promotion of multilayer cylinder, for accurate industry, the practicability is poor.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of loom shuttle box conversion control device and controlling parties
Method.
The invention is realized in this way a kind of loom shuttle box switching control method, the loom shuttle box conversion and control
Method includes:
First cylinder, second cylinder, third cylinder, the 4th gas of multilayer cylinder are controlled by computer controller
Cylinder, the 5th cylinder charge and deflation；Pass through first cylinder, second cylinder, third cylinder, the 4th cylinder, the 5th
The pressure inductor of a cylinder installation detects pressure signal, and computer controller is based on grain to the pressure signal that pressure inductor detects
Subgroup multi-objective Algorithm carries out that signal is special selects to pressure signal, analyzes inflatable and deflatable control instruction；Based on population
Multi-objective Algorithm includes:
1) forward position Pareto point is calculated, calculates the suitable of pressure signal characteristic individual with redundancy objective function according to the degree of correlation
Response, and the forward position the Pareto point in current character individual is found out, time complexity is O (N2)；
2), splitting rule is called to create underlying membrane, after completing preparation, it is basic starts division generation M in the film of surface layer
Film；It is equal with the forward position the Pareto point quantity of external archive to divide underlying membrane quantity M；Then by the forward position Pareto of these archives
Optimum individual of the point as population in the underlying membrane；Finally, before remaining each individual to be put into the Pareto nearest apart from itself
Along in underlying membrane, time complexity is O (N × R) where point；
3) particle swarm algorithm, is independently executed in underlying membrane, in each underlying membrane, to be stored in external archive at first
The forward position Pareto point is population optimum individual, formula Xt+1=Xt+Vt+1With
And formula
Π=(V, T, C, μ, ω1,…,ωm,(R1,ρ1),…(Rm,ρm)), calculate new individual speed and position；And root
Fitness is recalculated according to newest position；Wherein, formula Xt+1=Xt+Vt+1In, Vt, Vt+1It is that t and the t+1 times fly respectively
Capable speed；Xt, Xt+1It is the position that particle is fallen in after t and the t+1 times flight respectively；In formula (4), V is letter
Table, included element are character object.It is abstracted to intracellular metabolic element, substance；For out alphabet
Table；For catalyst, these elements do not change during Cellular evolution, also do not generate new character；But at certain
There must be its participation that could execute in a little evolutionary rules, will be unable to be performed if there is no rule；μ includes m film
Membrane structure, each film and its region enclosed indicate that H={ 1,2 ..., m }, wherein m is known as the degree of the membranous system with label set H；
ωi∈V*(1≤i≤m) indicates the multiset containing object inside the region i in membrane structure μ, V*It is times that character forms in V
The set of ideographic characters object；Ri(1≤i≤m) is the finite aggregate of evolutionary rule, each RiIt is and the region i phase in membrane structure u
It is associated, ρiIt is RiIn partial ordering relation, referred to as dominance relation indicates rule RiThe dominance relation of execution.RiEvolutionary rule be
Binary group (u, v), is generally written into u → v,Character, which may belong to V, in v can also be not belonging to V, but when certain rule executes
When producing the character object for being not belonging to V afterwards, executes the rule caudacoria and be dissolved；The number of character object contained by length, that is, u of u
The referred to as radius of rule u → v；
Computer controller controls solenoid valve, then by solenoid valve control multilayer cylinder, by above-mentioned difference cylinder go up and down Lai
Control the lifting of loom shuttle braking case；Computer controller controls in solenoid valve, is controlled based on particle group optimizing method；Particle
Group optimizing method includes:
Redefine the h (e, g) and particle in joint histogram speed and displacement more new formula, the speed of particle and
Displacement more new formula is defined as follows:
Wherein, v indicates particle rapidity, and t indicates the time, and i indicates that i-th of particle, j indicate j-th of path, and w is inertia power
Weight, c1、c2Indicate Studying factors, pi,jIndicate the desired positions that i-th of particle lives through, pg,jIndicate all particle experience of group
The desired positions crossed, wherein e, g are respectively path to be matched and template path, and h (e, g) is indicated in the position that optimal path e occurs
It sets, in the number that the corresponding position g of historical path occurs；
The speed and displacement that particle is updated by the speed and displacement more new formula of particle, find excellent solution, excellent solution formula are as follows:
xi,jIndicate the displacement updated required for i-th of particle, j-th of path, xi,j(1)That indicate is xi,jIt is next, often
It is secondary all to change, it is next time just xi,j(2)；
Meanwhile dust catcher is started by computer controller, the dust in loom shuttle braking case is cleared up.
Further, further comprise based on population multi-objective Algorithm: needing to be initialized before calculating the forward position Pareto point
And Fitness analysis；N number of character is generated in the film of surface layer, indicates the radar emitter signal feature set number extracted, each word
Symbol ties up variable comprising D, and under the premise of meeting multi-objective optimization question constraint condition, successively initializes to N number of character,
Coding mode uses binary coding mode；Individual x={ x1,x2,...,xDValue range { 0,1 }, when value be 1 when should
Feature is selected；When initialization, variance of all sample values in each feature is calculated, institute is then calculated according to following formula
The probability of selection；
vjIndicate the variance of all sample values on jth dimensional feature；When P is greater than 0.5, this feature is easy to choose；
The forward position the Pareto point in current character individual is found out, time complexity is O (N2) after, it also needs to carry out:
External archive is initialized, the forward position Pareto point quantity is less than default value R, then all the points is directly stored in external shelves
In case；The forward position Pareto point quantity is greater than default value, according to formulaCalculate all forward positions Pareto
The crowding distance of point is deleted one by one since the smallest point of crowding distance, until the forward position Pareto of alternative deposit external archive
Point quantity is equal with default value；Then by these forward positions, point is stored in external archive；In formula, n indicates of objective function
Number, diIndicate the crowding distance in population of i-th of character object,Indicate m-th of objective function acquirement in population
Maximum value,Indicate the minimum value that the m objective function obtains in population,WithIt is i-th of character object in m
Two sides are tieed up closest to m-th of target function value of point, wherein
Further, the surface layer film this use cellular type membranous system, the structure composition expression formula of the cellular type membranous system
It is as follows:
∏=(V, T, C, μ ω1..., ωm(R1, ρ1) ..., (Rmρm))；
Wherein, V is alphabet, and included element is character object.It is to intracellular metabolic element, substance
It is abstract；
For output alphabet；
For catalyst, these elements do not change during Cellular evolution, also do not generate new character；
But must have its participation in certain evolutionary rules could execute, and will be unable to be performed if there is no rule；
μ is the membrane structure comprising m film, and each film and its region enclosed are indicated with label set H, H={ 1,2 ..., m },
Wherein m is known as the degree of the membranous system；
ωi∈V*(1≤i≤m) indicates the multiset containing object inside the region i in membrane structure μ, V*It is character group in V
At any character object set；
Ri(1≤i≤m) is the finite aggregate of evolutionary rule, each RiIt is, ρ associated with the region i in membrane structure ui
It is RiIn partial ordering relation, referred to as dominance relation indicates rule RiThe dominance relation of execution.RiEvolutionary rule be binary group (u,
V), it is generally written into u → v,Character, which may belong to V, in v can also be not belonging to V, but produce not after certain rule executes
When belonging to the character object of V, executes the rule caudacoria and be just dissolved；The number of character object contained by length, that is, u of u is known as
The radius of regular u → v；
Entire membranous system is in given environment；System is formed by 5 or more the films that are mutually related by hierarchical combination；It is outermost
The film of layer is referred to as surface layer film Skin membrane, and the film for not including other membrane structures is called underlying membrane Elementary
membrane；The part that each film is surrounded is referred to as region Regions；
The calculation formula of crowding distance is as shown in formula；
In formula, n indicates the number of objective function, diIndicate the crowding distance in population of i-th of character object,
Indicate the maximum value that m-th of objective function obtains in population,Indicate the minimum value that m-th of objective function obtains in population,WithIt is m-th target function value of i-th of character object in the dimension two sides m closest to point, wherein
Further, the displacement update method of particle includes:
According to xi,j=vi,j+wvi,jTo xi,jIt is modified；
With probability c1H (e, g) modifies (pi,j-xi,j) switching sequence, obtain xi,j(1)For xi,jWith c1h(e,g)(pi,j-xi,j)
Sum, pi,j-xi,j(t) switching sequence of each particle and personal best particle is indicated；
With probability c2H (e, g) modifies (pg,j-xi,j) switching sequence, obtain xi,j(2)For xi,j(1)With c2h(e,g)(pg,j-
xi,j) sum, pg,j-xi,j(t) switching sequence for indicating group's optimal location and body position updates displacement and finishes.
Further, the staplings detection method of the loom includes:
Step 1), machine is every when running to transport the close primary spy latitude fork of the shuttle race that turns around, and when there is weft yarn, spy latitude is pitched red
Outer reception head and infrared emission head can detect that weft yarn passes through, and computer controller can be detected according to latitude fork is visited when machine operates normally
To weft yarn interval time calculate the interval time average value of weft yarn；
Step 2), computer controller can remove the interference signal for the time being less than average value according to average value；When weft yarn it is disconnected with
Afterwards, visiting latitude fork can't detect weft yarn, and relay output control signal, clutch are disconnected when interval time is greater than 1.5 times of average value
It operates machine and shuts down；
Step 3), Production rate method: user is input in computer controller according to the number of teeth of filling density wheel, computer controller
Yield can be calculated according to the number that filling density and spy latitude fork detect；Computer controller can be according to the demand of user.
Another object of the present invention is to provide a kind of computer program for realizing the loom shuttle box switching control method.
Another object of the present invention is to provide at a kind of information data for realizing the loom shuttle box switching control method
Manage terminal.
Another object of the present invention is to provide a kind of computer readable storage medium, including instruction, when its on computers
When operation, so that computer executes loom shuttle box switching control method described in item.
Another object of the present invention is to provide a kind of loom shuttle box for realizing the loom shuttle box switching control method
Conversion control device, the loom shuttle box conversion control device include: the first side shuttle box, multilayer cylinder, computer controller,
Two side shuttle boxs, solenoid valve；
First side shuttle box, second side shuttle box bottom are connected multilayer cylinder respectively；Multilayer cylinder bottom has been screwed
Solenoid valve；
The computer controller connects solenoid valve by circuit line.
Further, first side shuttle box, second side shuttle box inside include that spy latitude is pitched, steel is buckled, shuttle race, weft, dust catcher；
Shuttle race right end, which has been screwed, visits latitude fork；Shuttle race left end has been screwed dust catcher；Shuttle race top is embedding
It is cased with steel button；Weft from visit latitude fork across, visit and be provided with infrared receiving terminal and infrared emission head on latitude fork, infrared receiving terminal and red
Outer emitting head is electrically connected with computer controller；
The spy latitude fork passes through front and back adjusting rod connection fixing block；Adjusting bracket includes being fixed on consolidating on the adjusting rod of front and back
The adjustable plate determining block and being fixed on fixed block is provided with sliding slot on adjustable plate.
In conclusion advantages of the present invention and good effect are as follows:
The present invention eliminates original component of machine, directly controls cylinder using computer, makes this product from original 4x4
Shuttle box is upgraded to 6x6 shuttle box, and does not need excessive Mechanical course, reduces that mechanical transmission part is more, and comprehensive gap is big
Disadvantage, the conversion of color and manufacture craft all pass through computer design, and USB flash disk copies computer controling box to, and process is simple, shuttle box
Gap is small, and movement reaches 95% or more using the product loom running rate fastly；Simultaneously the present invention using pneumatic control components and
The control of multilayer cylinder, may be implemented the automatic colour changing of weft yarn of 1-10 color.Product originally is that Mechanical course can only use 1-6 kind face
The weft yarn of color, the new product by technological improvement fill up the domestic blank without 6x6 multi-shuttle box, knit production to the color of a variety of looms
The extraordinary tatting Yarn-dyed fabric of product such as Nanjing brocade or hiding robe, theatrical costume or other ethnic groups plays the role of propulsion；Meanwhile
The present invention is suitable for various woven fabric machine equipments, and the weft for solving loom is disconnected, and not parking, to avoid production substandard products
Cloth；Woven fabric environment can be purified by the dust catcher of setting, keeps the clean hygiene of woven fabric environment；Entire control device structure letter
Single to be illustrated, failure rate is low, easy to maintenance, greatly reduces the labor intensity of worker, improves work efficiency.
First cylinder, second cylinder, third cylinder, the 4th gas of multilayer cylinder are controlled by computer controller
Cylinder, the 5th cylinder charge and deflation；Pass through first cylinder, second cylinder, third cylinder, the 4th cylinder, the 5th
The pressure inductor of a cylinder installation detects pressure signal, and computer controller is based on grain to the pressure signal that pressure inductor detects
Subgroup multi-objective Algorithm carries out that signal is special selects to pressure signal, analyzes in inflatable and deflatable control instruction, uses
KUR, ZDT1, ZDT2, ZDT3 and ZDT6 function being widely adopted in multi-objective optimization question are for testing.Present invention selection
It is compared using tri- algorithms of MOPSO, PESA2, SPEA2 and new algorithm, new algorithm is compared and analyzed according to operation result
Superiority and inferiority.The parameter setting of each algorithm is shown in Table 1.
Under paired observation KUP test function, the approximate forward position the Pareto point that each algorithm acquires can see new algorithm with
SPEA2, PESA2 result are substantially close, and forward position point distribution uniform, either convergence rate or quality are better than tradition
MOPSO algorithm
The parameter setting of each algorithm of table 1
Under paired observation ZDT1 and ZDT2 test function, the approximate forward position the Pareto point that each algorithm acquires be can see newly
Algorithm and MOPSO convergence speed of the algorithm are substantially better than SPEA2 and PESA2 algorithm.But it examines it can be found that and MOPSO
It compares, the approximate forward position the Pareto point distribution of new algorithm is more uniform.
Under paired observation ZDT3 and ZDT6 test function, the approximate forward position the Pareto point that each algorithm acquires be can see respectively
Arithmetic result is substantially close.Under ZST test function, the approximate forward position Pareto point is in f1(x) ∈ [0,0.1] section, new algorithm are wanted
Slightly it is better than other 3 kinds of algorithms.
The present invention is referred to using Inverted Generational Distance (IGD) evaluation come each algorithm of comparative evaluation
Performance.30 approximation forward positions Pareto are calculated separately to every kind of algorithm, then acquire the average value and variance (table of this 30 IGD
2)。
Simulation result of 3 algorithms of different of table on IGD
It is acquired under different test functions from each algorithm in the approximate forward position Pareto point distribution map and table 3, it is not difficult to find out that,
New algorithm is better than two kinds of algorithms of SPEA2 and PESA2 in terms of convergence rate, close with MOPSO algorithm.But new algorithm is in result point
MOPSO algorithm is substantially better than on the uniformity coefficient of cloth.
It, can be compared in conclusion new algorithm has the features such as fast convergence rate, the approximate forward position Pareto point is evenly distributed
The good forward position approaching to reality Pareto.Therefore, it can prove that new algorithm is feasible, effective in terms of solving multi-objective optimization question
's.
Compared with existing basic PSO algorithm, The present invention reduces the number of iterations, convergence rate is improved, and search for
Average result also improve.By mutual information PSO and basic PSO algorithm Burma14, Ulysses22, Oliver30 and
It is tested on Att48 data set, mutual information PSO algorithm may search for optimal path as the result is shown, and search performance is than basic PSO
Algorithm is significantly improved.The average search distance of mutual information PSO algorithm is more excellent than basic PSO algorithm, embodies local search
The enhancing of ability, while decreasing the number of iterations.Operation 50 times.By mutual information PSO and basic PSO when searching for optimal value,
Most importantly mutual information PSO reduces the number of iterations compared with basic PSO algorithm, improves convergence rate, and search for
Average result also improves, and provides strong guarantee to the control mode of control solenoid valve.
Detailed description of the invention
Fig. 1 is loom shuttle box conversion control device structural schematic diagram provided in an embodiment of the present invention；
Fig. 2 is the first side provided in an embodiment of the present invention shuttle box, second side shuttle box schematic diagram of internal structure；
Fig. 3 is spy latitude fork structural schematic diagram provided in an embodiment of the present invention；
In figure: 1, the first side shuttle box；2, multilayer cylinder；3, computer controller (dmx512)；4, second side shuttle box；5, electric
Magnet valve；6, latitude fork is visited；7, steel button；8, shuttle race；9, weft；10, dust catcher；11, adjusting bracket；12, front and back adjusting rod；13, solid
Determine block；14, adjustable plate；15, sliding slot.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1-Figure 3, loom shuttle box conversion control device provided in an embodiment of the present invention includes: the first side shuttle box
1, multilayer cylinder 2, computer controller (dmx512) 3, second side shuttle box 4, solenoid valve 5.
First side shuttle box 1,4 bottom of second side shuttle box are connected multilayer cylinder 2 respectively；2 bottom of multilayer cylinder is solid by screw
Surely there is solenoid valve 5；Computer controller (dmx512) 3 connects solenoid valve 5 by circuit line.
As shown in Fig. 2, being buckled inside the first side provided in an embodiment of the present invention shuttle box, second side shuttle box including spy latitude fork 6, steel
7, shuttle race 8, weft 9, dust catcher 10；
8 right end of shuttle race, which has been screwed, visits latitude fork 6；8 left end of shuttle race has been screwed dust catcher 10；Shuttle race 8
Top is nested with steel button 7；Weft 9 is passed through from latitude fork 6 is visited, and is visited and is provided with infrared receiving terminal and infrared emission head on latitude fork 6, infrared
It receives head and infrared emission head is electrically connected with computer controller (dmx512) 3；Computer controller (dmx512) 3 is connected by circuit line
Connect dust catcher 10；
As shown in figure 3, spy latitude fork 6 provided in an embodiment of the present invention passes through 12 connection fixing block 13 of front and back adjusting rod；It adjusts
Bracket 11 includes the fixed block 13 being fixed on front and back adjusting rod 12 and the adjustable plate 14 being fixed on fixed block 13, adjustable plate
Sliding slot 15 is provided on 14.
In use, when the first side shuttle box 1, second side shuttle box 4 mix up respective first shuttle box, other shuttle boxs are not required to the present invention
It to adjust.Reduce the expense and time waste of installation and debugging.When 2 first cylinder charges of multilayer cylinder, shuttle box will
Rise, followed by two, three, four, five, inflation will be that shuttle box position generates 1-6 layers of conversion one by one, these cylinders pass through computer
The control of controller (dmx512) 3 is inflatable and deflatable, and computer controller (dmx512) 3 controls solenoid valve 5, then passes through solenoid valve 5
Multilayer cylinder 2 is controlled, the lifting of loom shuttle braking case is controlled by cylinder lifting, is achieved that the difference of shuttle box；Meanwhile Ke Yitong
It crosses the starting dust catcher 10 of computer controller (dmx512) 3 to clear up the dust in shuttle box, keeps the clean of shuttle box and defend
It is raw.
Wherein, the staplings detection method of loom is as follows:
Step 1, every fortune turns around shuttle race close to primary spy latitude fork when machine is run, and when there is weft yarn, visits red on latitude fork
Outer reception head and infrared emission head can detect that weft yarn passes through, and computer controller (dmx512) can be according to spy when machine operates normally
The weft yarn interval time that latitude fork detects calculates the interval time average value of weft yarn；
Step 2, computer controller (dmx512) can remove interference signal of the time less than average value according to average value；Because
Type is different, and voltage changes computer controller (dmx512) can adaptive different working condition；After weft yarn has broken,
Visiting latitude fork can't detect weft yarn, and relay output control signal, clutch disconnect machine when interval time is greater than 1.5 times of average value
Device shuts down；
Step 3, Production rate method: user is input in computer controller (dmx512) according to the number of teeth of filling density wheel, electricity
Brain controller (dmx512) can calculate yield according to the number that filling density and spy latitude fork detect；Computer controller (dmx512) meeting
According to the demand of user.
Below with reference to concrete analysis, the invention will be further described.
Loom shuttle box switching control method provided in an embodiment of the present invention, comprising:
First cylinder, second cylinder, third cylinder, the 4th gas of multilayer cylinder are controlled by computer controller
Cylinder, the 5th cylinder charge and deflation；Pass through first cylinder, second cylinder, third cylinder, the 4th cylinder, the 5th
The pressure inductor of a cylinder installation detects pressure signal, and computer controller is based on grain to the pressure signal that pressure inductor detects
Subgroup multi-objective Algorithm carries out that signal is special selects to pressure signal, analyzes inflatable and deflatable control instruction；Based on population
Multi-objective Algorithm includes:
1) forward position Pareto point is calculated, calculates the suitable of pressure signal characteristic individual with redundancy objective function according to the degree of correlation
Response, and the forward position the Pareto point in current character individual is found out, time complexity is O (N2)；
2), splitting rule is called to create underlying membrane, after completing preparation, it is basic starts division generation M in the film of surface layer
Film；It is equal with the forward position the Pareto point quantity of external archive to divide underlying membrane quantity M；Then by the forward position Pareto of these archives
Optimum individual of the point as population in the underlying membrane；Finally, before remaining each individual to be put into the Pareto nearest apart from itself
Along in underlying membrane, time complexity is O (N × R) where point；
3) particle swarm algorithm, is independently executed in underlying membrane, in each underlying membrane, to be stored in external archive at first
The forward position Pareto point is population optimum individual, formula Xt+1=Xt+Vt+1With
And formula
Π=(V, T, C, μ, ω1,…,ωm,(R1,ρ1),…(Rm,ρm)), calculate new individual speed and position；And root
Fitness is recalculated according to newest position；Wherein, formula Xt+1=Xt+Vt+1In, Vt, Vt+1It is that t and the t+1 times fly respectively
Capable speed；Xt, Xt+1It is the position that particle is fallen in after t and the t+1 times flight respectively；In formula (4), V is letter
Table, included element are character object.It is abstracted to intracellular metabolic element, substance；For out alphabet
Table；For catalyst, these elements do not change during Cellular evolution, also do not generate new character；But at certain
There must be its participation that could execute in a little evolutionary rules, will be unable to be performed if there is no rule；μ includes m film
Membrane structure, each film and its region enclosed indicate that H={ 1,2 ..., m }, wherein m is known as the degree of the membranous system with label set H；
ωi∈V*(1≤i≤m) indicates the multiset containing object inside the region i in membrane structure μ, V*It is times that character forms in V
The set of ideographic characters object；Ri(1≤i≤m) is the finite aggregate of evolutionary rule, each RiIt is and the region i phase in membrane structure u
It is associated, ρiIt is RiIn partial ordering relation, referred to as dominance relation indicates rule RiThe dominance relation of execution.RiEvolutionary rule be
Binary group (u, v), is generally written into u → v,Character, which may belong to V, in v can also be not belonging to V, but when certain rule executes
When producing the character object for being not belonging to V afterwards, executes the rule caudacoria and be dissolved；The number of character object contained by length, that is, u of u
The referred to as radius of rule u → v；
Computer controller controls solenoid valve, then by solenoid valve control multilayer cylinder, by above-mentioned difference cylinder go up and down Lai
Control the lifting of loom shuttle braking case；Computer controller controls in solenoid valve, is controlled based on particle group optimizing method；Particle
Group optimizing method includes:
Redefine the h (e, g) and particle in joint histogram speed and displacement more new formula, the speed of particle and
Displacement more new formula is defined as follows:
Wherein, v indicates particle rapidity, and t indicates the time, and i indicates that i-th of particle, j indicate j-th of path, and w is inertia power
Weight, c1、c2Indicate Studying factors, pi,jIndicate the desired positions that i-th of particle lives through, pg,jIndicate all particle experience of group
The desired positions crossed, wherein e, g are respectively path to be matched and template path, and h (e, g) is indicated in the position that optimal path e occurs
It sets, in the number that the corresponding position g of historical path occurs；
The speed and displacement that particle is updated by the speed and displacement more new formula of particle, find excellent solution, excellent solution formula are as follows:
xi,jIndicate the displacement updated required for i-th of particle, j-th of path, xi,j(1)That indicate is xi,jIt is next, often
It is secondary all to change, it is next time just xi,j(2)；
Meanwhile dust catcher is started by computer controller, the dust in loom shuttle braking case is cleared up.
Further comprise based on population multi-objective Algorithm: needing to carry out initialization and fitness before calculating the forward position Pareto point
Assessment；N number of character is generated in the film of surface layer, indicates the radar emitter signal feature set number extracted, and each character is tieed up comprising D
Variable, and under the premise of meeting multi-objective optimization question constraint condition, successively N number of character is initialized, coding mode
Using binary coding mode；Individual x={ x1,x2,...,xDValue range { 0,1 }, when value is 1, this feature is selected
In；When initialization, variance of all sample values in each feature is calculated, then according to general selected by following formula calculating
Rate；
vjIndicate the variance of all sample values on jth dimensional feature；When P is greater than 0.5, this feature is easy to choose；
The forward position the Pareto point in current character individual is found out, time complexity is O (N2) after, it also needs to carry out:
External archive is initialized, the forward position Pareto point quantity is less than default value R, then all the points is directly stored in external shelves
In case；The forward position Pareto point quantity is greater than default value, according to formulaCalculate all forward positions Pareto
The crowding distance of point is deleted one by one since the smallest point of crowding distance, until the forward position Pareto of alternative deposit external archive
Point quantity is equal with default value；Then by these forward positions, point is stored in external archive；In formula, n indicates of objective function
Number, diIndicate the crowding distance in population of i-th of character object,Indicate m-th of objective function acquirement in population
Maximum value,Indicate the minimum value that the m objective function obtains in population,WithIt is i-th of character object in m
Two sides are tieed up closest to m-th of target function value of point, wherein
This uses cellular type membranous system to the surface layer film, and the structure composition expression formula of the cellular type membranous system is as follows:
Wherein, V is alphabet, and included element is character object.It is to intracellular metabolic element, substance
It is abstract；
For output alphabet；
For catalyst, these elements do not change during Cellular evolution, also do not generate new character；
But must have its participation in certain evolutionary rules could execute, and will be unable to be performed if there is no rule；
μ is the membrane structure comprising m film, and each film and its region enclosed are indicated with label set H, H={ 1,2 ..., m },
Wherein m is known as the degree of the membranous system；
ωi∈V*(1≤i≤m) indicates the multiset containing object inside the region i in membrane structure μ, V*It is character group in V
At any character object set；
Ri(1≤i≤m) is the finite aggregate of evolutionary rule, each RiIt is, ρ associated with the region i in membrane structure ui
It is RiIn partial ordering relation, referred to as dominance relation indicates rule RiThe dominance relation of execution.RiEvolutionary rule be binary group (u,
V), it is generally written into u → v,Character, which may belong to V, in v can also be not belonging to V, but produce not after certain rule executes
When belonging to the character object of V, executes the rule caudacoria and be just dissolved；The number of character object contained by length, that is, u of u is known as
The radius of regular u → v；
Entire membranous system is in given environment；System is formed by 5 or more the films that are mutually related by hierarchical combination；It is outermost
The film of layer is referred to as surface layer film Skin membrane, and the film for not including other membrane structures is called underlying membrane Elementary
membrane；The part that each film is surrounded is referred to as region Regions；
The calculation formula of crowding distance is as shown in formula；
In formula, n indicates the number of objective function, diIndicate the crowding distance in population of i-th of character object,
Indicate the maximum value that m-th of objective function obtains in population,Indicate the minimum value that m-th of objective function obtains in population,WithIt is m-th target function value of i-th of character object in the dimension two sides m closest to point, wherein
The displacement update method of particle includes:
According to xi,j=vi,j+wvi,jTo xi,jIt is modified；
With probability c1H (e, g) modifies (pi,j-xi,j) switching sequence, obtain xi,j(1)For xi,jWith
c1h(e,g)(pi,j-xi,j) sum, pi,j-xi,j(t) switching sequence of each particle and personal best particle is indicated；
With probability c2H (e, g) modifies (pg,j-xi,j) switching sequence, obtain xi,j(2)For xi,j(1)With c2h(e,g)(pg,j-
xi,j) sum, pg,j-xi,j(t) switching sequence for indicating group's optimal location and body position updates displacement and finishes.
The staplings detection method of the loom includes:
Step 1), machine is every when running to transport the close primary spy latitude fork of the shuttle race that turns around, and when there is weft yarn, spy latitude is pitched red
Outer reception head and infrared emission head can detect that weft yarn passes through, and computer controller can be detected according to latitude fork is visited when machine operates normally
To weft yarn interval time calculate the interval time average value of weft yarn；
Step 2), computer controller can remove the interference signal for the time being less than average value according to average value；When weft yarn it is disconnected with
Afterwards, visiting latitude fork can't detect weft yarn, and relay output control signal, clutch are disconnected when interval time is greater than 1.5 times of average value
It operates machine and shuts down；
Step 3), Production rate method: user is input in computer controller according to the number of teeth of filling density wheel, computer controller
Yield can be calculated according to the number that filling density and spy latitude fork detect；Computer controller can be according to the demand of user.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (10)
1. a kind of loom shuttle box switching control method, which is characterized in that the loom shuttle box switching control method includes:
By computer controller control first cylinder of multilayer cylinder, second cylinder, third cylinder, the 4th cylinder,
5th cylinder charge and deflation；Pass through first cylinder, second cylinder, third cylinder, the 4th cylinder, the 5th gas
The pressure inductor of cylinder installation detects pressure signal, and computer controller is based on population to the pressure signal that pressure inductor detects
Multi-objective Algorithm carries out that signal is special selects to pressure signal, analyzes inflatable and deflatable control instruction；Based on the more mesh of population
Marking algorithm includes:
1) forward position Pareto point is calculated, calculates the adaptation of pressure signal characteristic individual with redundancy objective function according to the degree of correlation
Degree, and the forward position the Pareto point in current character individual is found out, time complexity is O (N2)；
2), splitting rule is called to create underlying membrane, after completing preparation, starts division in the film of surface layer and generate M underlying membrane；Point
It is equal with the forward position the Pareto point quantity of external archive to split underlying membrane quantity M；Then the forward position the Pareto point these achieved is made
For the optimum individual of population in the underlying membrane；Finally, remaining each individual to be put into the Pareto forward position point nearest apart from itself
In the underlying membrane of place, time complexity is O (N × R)；
3) particle swarm algorithm, is independently executed in underlying membrane, in each underlying membrane, before the Pareto that is stored in external archive at first
It is population optimum individual, formula X along pointt+1=Xt+Vt+1With
And formula
Π=(V, T, C, μ, ω1,…,ωm,(R1,ρ1),…(Rm,ρm)), calculate new individual speed and position；And according to most
Recalculate fitness in new position；Wherein, formula Xt+1=Xt+Vt+1In, Vt, Vt+1It is the speed of t and the t+1 times flight respectively
Degree；Xt, Xt+1It is the position that particle is fallen in after t and the t+1 times flight respectively；In formula (4), V is alphabet, institute
It is character object comprising element.It is abstracted to intracellular metabolic element, substance；For output alphabet；For catalyst, these elements do not change during Cellular evolution, also do not generate new character；But certain
Must have its participation in evolutionary rule could execute, and will be unable to be performed if there is no rule；μ is the film comprising m film
Structure, each film and its region enclosed indicate that H={ 1,2 ..., m }, wherein m is known as the degree of the membranous system with label set H；
ωi∈V*(1≤i≤m) indicates the multiset containing object inside the region i in membrane structure μ, V*It is any of character composition in V
The set of character object；Ri(1≤i≤m) is the finite aggregate of evolutionary rule, each RiIt is related to the region i in membrane structure u
Connection, ρiIt is RiIn partial ordering relation, referred to as dominance relation indicates rule RiThe dominance relation of execution.RiEvolutionary rule be two
Tuple (u, v), is generally written into u → v,Character, which may belong to V, in v can also be not belonging to V, but produce after certain rule executes
When having given birth to the character object for being not belonging to V, executes the rule caudacoria and be dissolved；The number of character object contained by length, that is, u of u is known as
The radius of regular u → v；
Computer controller controls solenoid valve, then by solenoid valve control multilayer cylinder, is gone up and down by above-mentioned difference cylinder to control
The lifting of loom shuttle braking case；Computer controller controls in solenoid valve, is controlled based on particle group optimizing method；Population is excellent
Change method includes:
Redefine the speed and displacement more new formula of the h (e, g) and particle in joint histogram, the speed and displacement of particle
More new formula is defined as follows:
Wherein, v indicates particle rapidity, and t indicates the time, and i indicates that i-th of particle, j indicate j-th of path, and w is inertia weight, c1、
c2Indicate Studying factors, pi,jIndicate the desired positions that i-th of particle lives through, pg,jIndicate that all particles of group live through most
Good position, wherein e, g are respectively path to be matched and template path, and h (e, g) is indicated on the position that optimal path e occurs,
The number that the corresponding position g of historical path occurs；
The speed and displacement that particle is updated by the speed and displacement more new formula of particle, find excellent solution, excellent solution formula are as follows:
xi,jIndicate the displacement updated required for i-th of particle, j-th of path, xi,j(1)That indicate is xi,jIt is next, every time
Changing, is next time just being xi,j(2)；
Meanwhile dust catcher is started by computer controller, the dust in loom shuttle braking case is cleared up.
2. loom shuttle box switching control method as described in claim 1, which is characterized in that be based on population multi-objective Algorithm
Further comprise: needing to carry out initialization and Fitness analysis before calculating the forward position Pareto point；N number of character is generated in the film of surface layer,
Indicate the radar emitter signal feature set number extracted, each character includes that D ties up variable, and is meeting multi-objective optimization question
Under the premise of constraint condition, successively N number of character is initialized, coding mode uses binary coding mode；Individual x=
{x1,x2,...,xDValue range { 0,1 }, when value is 1, this feature is selected；When initialization, calculates all samples and take
It is worth the variance in each feature, selected probability is then calculated according to following formula；
vjIndicate the variance of all sample values on jth dimensional feature；When P is greater than 0.5, this feature is easy to choose；
The forward position the Pareto point in current character individual is found out, time complexity is O (N2) after, it also needs to carry out:
External archive is initialized, the forward position Pareto point quantity is less than default value R, then all the points is directly stored in external archive
In；The forward position Pareto point quantity is greater than default value, according to formulaCalculate all forward position Pareto points
Crowding distance, since crowding distance it is the smallest point start delete one by one, until alternatively be stored in external archive the forward position Pareto point
Quantity is equal with default value；Then by these forward positions, point is stored in external archive；In formula, n indicates the number of objective function,
diIndicate the crowding distance in population of i-th of character object,Indicate the maximum that m-th of objective function obtains in population
Value,Indicate the minimum value that m-th of objective function obtains in population,WithIt is i-th of character object in m dimension two
Side closest to point m-th of target function value, wherein
3. loom shuttle box switching control method as described in claim 1, which is characterized in that the surface layer film this use cell
The structure composition expression formula of type membranous system, the cellular type membranous system is as follows:
Π=(V, T, C, μ, ω1..., ωm, (R1, ρ1) ..., (Rm, ρm))；
Wherein, V is alphabet, and included element is character object.It is the pumping to intracellular metabolic element, substance
As；
For output alphabet；
For catalyst, these elements do not change during Cellular evolution, also do not generate new character；But
Must have its participation in certain evolutionary rules could execute, and will be unable to be performed if there is no rule；
μ is the membrane structure comprising m film, and each film and its region enclosed are indicated with label set H, H={ 1,2 ..., m }, wherein
M is known as the degree of the membranous system；
ωi∈V*(1≤i≤m) indicates the multiset containing object inside the region i in membrane structure μ, V*It is that character forms in V
The set of any character object；
Ri(1≤i≤m) is the finite aggregate of evolutionary rule, each RiIt is, ρ associated with the region i in membrane structure uiIt is RiIn
Partial ordering relation, referred to as dominance relation indicates rule RiThe dominance relation of execution.RiEvolutionary rule be binary group (u, v), lead to
Often write as u → v,Character, which may belong to V, in v can also be not belonging to V, but produces after certain rule executes and be not belonging to V
Character object when, execute the rule caudacoria just be dissolved；The number of character object contained by length, that is, u of u referred to as rule u →
The radius of v；
Entire membranous system is in given environment；System is formed by 5 or more the films that are mutually related by hierarchical combination；It is outermost
Film is referred to as surface layer film Skin membrane, and the film for not including other membrane structures is called underlying membrane Elementary
membrane；The part that each film is surrounded is referred to as region Regions；
The calculation formula of crowding distance is as shown in formula；
In formula, n indicates the number of objective function, diIndicate the crowding distance in population of i-th of character object,It indicates
The maximum value that m-th of objective function obtains in population,Indicate the minimum value that m-th of objective function obtains in population,WithIt is m-th target function value of i-th of character object in the dimension two sides m closest to point, wherein
4. loom shuttle box switching control method as described in claim 1, which is characterized in that
The displacement update method of particle includes:
According to xi,j=vi,j+wvi,jTo xi,jIt is modified；
With probability c1H (e, g) modifies (pi,j-xi,j) switching sequence, obtain xi,j(1)For xi,jWith
c1h(e,g)(pi,j-xi,j) sum, pi,j-xi,j(t) switching sequence of each particle and personal best particle is indicated；
With probability c2H (e, g) modifies (pg,j-xi,j) switching sequence, obtain xi,j(2)For xi,j(1)With c2h(e,g)(pg,j-xi,j)
With pg,j-xi,j(t) switching sequence for indicating group's optimal location and body position updates displacement and finishes.
5. loom shuttle box switching control method as described in claim 1, which is characterized in that the staplings of the loom detects
Method includes:
Step 1), machine when running every fortune shuttle race that turns around close to primary visit latitude fork, when there is weft yarn, that visits on latitude fork infrared is connect
Receiving head and infrared emission head can detect that weft yarn passes through, and computer controller can be detected according to latitude fork is visited when machine operates normally
Weft yarn interval time calculates the interval time average value of weft yarn；
Step 2), computer controller can remove the interference signal for the time being less than average value according to average value；After weft yarn is disconnected, visit
Latitude fork can't detect weft yarn, and relay output control signal, clutch disconnect machine when interval time is greater than 1.5 times of average value
It shuts down；
Step 3), Production rate method: user is input in computer controller according to the number of teeth of filling density wheel, and computer controller can root
Yield is calculated according to the number that filling density and spy latitude fork detect；Computer controller can be according to the demand of user.
6. a kind of computer program for realizing loom shuttle box switching control method described in Claims 1 to 5 any one.
7. a kind of information data processing for realizing loom shuttle box switching control method described in Claims 1 to 5 any one is eventually
End.
8. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires loom shuttle box switching control method described in 1~5 any one.
9. a kind of loom shuttle box conversion control device for realizing loom shuttle box switching control method described in claim 1,
It is characterized in that, the loom shuttle box conversion control device includes: the first side shuttle box, multilayer cylinder, computer controller, second side
Shuttle box, solenoid valve；
First side shuttle box, second side shuttle box bottom are connected multilayer cylinder respectively；Multilayer cylinder bottom has been screwed electromagnetism
Valve；
The computer controller connects solenoid valve by circuit line.
10. loom shuttle box conversion control device as claimed in claim 9, which is characterized in that first side shuttle box, second
It include that spy latitude is pitched, steel is buckled, shuttle race, weft, dust catcher inside the shuttle box of side；
Shuttle race right end, which has been screwed, visits latitude fork；Shuttle race left end has been screwed dust catcher；Shuttle race top is nested with
Steel button；Weft is from latitude fork is visited across spy latitude is pitched and is provided with infrared receiving terminal and infrared emission head, infrared receiving terminal and infrared hair
Head is penetrated to be electrically connected with computer controller；
The spy latitude fork passes through front and back adjusting rod connection fixing block；Adjusting bracket includes the fixed block being fixed on the adjusting rod of front and back
With the adjustable plate being fixed on fixed block, sliding slot is provided on adjustable plate.
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