CN108279578A - Hot-mix asphalt mixture gradation differentials simulation and optimization control system and method - Google Patents
Hot-mix asphalt mixture gradation differentials simulation and optimization control system and method Download PDFInfo
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- CN108279578A CN108279578A CN201810087548.2A CN201810087548A CN108279578A CN 108279578 A CN108279578 A CN 108279578A CN 201810087548 A CN201810087548 A CN 201810087548A CN 108279578 A CN108279578 A CN 108279578A
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Abstract
The present invention provides a kind of hot-mix asphalt mixture gradation differentials simulation and optimization control system and methods, including grading data subsystem, control strategy modeling subsystem, optimal control subsystem and image data output subsystem；Grading data subsystem is used to establish the basic data of hot-mix asphalt mixture production and carries out simulating data variation of gathering materials；Control strategy modeling subsystem is for simulating audient's multifactor impact in practical hot-mix asphalt mixture production process and making the changed trend of aggregate ingredient, optimal control subsystem nests into mathematic optimal model in system model, image data output subsystem mixes the variation of bituminous mixture state and relevant model data for real-time heat outputting, present invention dynamic analog production process by way of virtual emulation, each qualitative factor of production process is analyzed, the governing factor for influencing its quality problems is obtained.
Description
Technical field
The invention belongs to production process field of quality control, and in particular to mixture gradation in hot-mix asphalt mixture production
Line Quality Control system and control method.
Background technology
Hot-mix asphalt mixture (Hot Mix Asphalt, HMA) is the important materials of current expressway construction, directly
It is related to construction and the quality of expressway.Wherein asphalt mixture gradation refers to thick, fine aggregate and mineral filler institute in mixture
The ratio accounted for is the key factor for a variety of pavement performances for influencing asphalt.In the past few decades, the grading of HMA
Control be concentrated mainly on the test sample in laboratory, many measures put forth effort on make test sample faster, it is more accurate.Test sample speed
Although the raising of degree and efficiency is conducive to the quality control of HMA to a certain extent, test sample needs longer time, one
As spend or so 2 hours that can just obtain sample test result, the deviation of system cannot be controlled in time.
In recent years, the research that quality of asphalt mixtures control is carried out using computer simulation technique is at home and abroad able to extensively
Carry out.In the online database of monitoring HMA production processes, simulate the compacting process of HMA, analyzing influence HMA production processes because
Plain aspect has done a series of research, research shows that computer simulation technique plays an important role in HMA productions, but to drip
The computer simulation of green production process Gradation Control is relatively fewer.
Invention content
In view of the foregoing deficiencies of prior art, the purpose of the present invention is to provide a kind of hot-mix asphalt mixture gradings
Change simulation and optimization control system and the line Quality Control method by the system.It can efficiently solve such produced
Journey cannot achieve the problem of on line real time control.
For achieving the above object, technical solution of the present invention is as follows：
A kind of hot-mix asphalt mixture gradation differentials simulation and optimization control system, including grading data subsystem, control
Strategy modeling subsystem, optimal control subsystem and image data output subsystem；Wherein：
Grading data subsystem is used to establish the basic data of hot-mix asphalt mixture production and carries out simulating data of gathering materials
Variation；
Control strategy modeling subsystem is for simulating audient's multifactor impact in practical hot-mix asphalt mixture production process
And make the changed trend of aggregate ingredient, it formulates different gradation standard according to actual conditions and copes with different manufacturer's requirements,
Requirement under job mix formula limitation as defined in meeting, this system use the one of which in following three control method, control
Method 1 processed：If any sieve value in each grading is more than the limitation of control, system is in runaway condition, the ratio in each cold burden storehouse
Example is just again optimised；Control method 2：If any two or the more than two sieve value in each grading are more than the limitation of control,
System is in runaway condition, and the ratio in each cold burden storehouse is just again optimised；Control method 3：Consider from total grading of model, if
Each sieve value deviates 70% that summation is more than maximum control limit, then system is in runaway condition, and the ratio in each cold burden storehouse is just again
It is optimised；
Optimal control subsystem nests into mathematic optimal model in system model, when model judges that system is in shape out of control
State, this system starting guide program optimize system by always mixing the percentage to gather materials shared by each cold burden storehouse of change,
It is set to be promptly restored to slave mode；The mathematic optimal model that this subsystem uses is with each minimum target of sieve value total deviation
Value meets the grading requirement that pitch mixing is gathered materials by changing the percentage in each cold burden storehouse, and meets the percentage in each cold burden storehouse
Than, each sieve value, the bound of each ore type requirement；
Image data output subsystem mixes the variation of bituminous mixture state and relevant mould for real-time heat outputting
Type data, for intuitively showing hot-mix asphalt mixture gradation differentials.
The present invention also provides a kind of hot-mix asphalt mixture grading production process line Quality Controls using above system
Method：The basic data of hot-mix asphalt mixture production is established by grading data subsystem and simulate data change of gathering materials
Change；Being modeled by subsystem simulates in practical hot-mix asphalt mixture production process audient's multifactor impact by control strategy makes collection
Material ingredient changes trend, formulates different gradation standard according to actual conditions and copes with different manufacturers and requires, and utilization is at different levels
Different control programs is determined with composition transfer；Mathematic optimal model is nested into system model by optimal control subsystem
In, when model judges that system is in runaway condition, simulation model starting guide program is always mixed by changing shared by each cold burden storehouse
The percentage that gathers materials optimizes system, it is made to be promptly restored to state of a control；It is real by image data output subsystem
When heat outputting mix the variation of bituminous mixture state and relevant model data, it is intuitive to show hot-mix asphalt mixture grading
Variation.
It is preferred that the hot-mix asphalt mixture grading production process line Quality Control method further comprises
Following steps：
(1) constituent of gathering materials is inputted using cold aggregate bin setting ratio；
(2) realize that continuous system is discrete using discrete element method and using cell block distance on a moving belt and speed
Change, chooses and be used as within 1 minute the discrete unit time, the aggregate quality of transmission in 1 minute is as a discrete area；
(3) average value and variance yields respectively to gather materials is set, simulates step by changing average value, trend and step become
Three kinds of state changes of gesture, and production mix formula specification and production permit range are set according to actual demand；
(4) trend function for setting variation of gathering materials, step, trend and jump trend three are simulated by changing average value
Kind state change；
(5) Product-level, which is matched, requires standard：Standard specification limit indicates that the grading gathered materials complies with standard JMF requirements；Production specification
Limit indicates that the grading gathered materials meets manufacturer's requirement；
(6) system control method：This system uses the one of which in following three control method, control method 1：If
Any sieve value in each grading is more than the limitation of control, then system is in runaway condition, and the ratio in each cold burden storehouse is just again excellent
Change；Control method 2：If any two or the more than two sieve value in each grading are more than the limitation of control, system is in out of control
The ratio of state, each cold burden storehouse is just again optimised；Control method 3：Consider from total grading of model, if each sieve value deviates always
With 70% more than maximum control limit, then system be in runaway condition, the ratio in each cold burden storehouse is just again optimised；
(7) selection of rolling average number：Influence in order to avoid unexpected or temporary gradation differentials to aggregate grading,
It introduces rolling average method to handle data, to obtain more stable data, the present invention chooses 4,8 and 16 as shifting
Dynamic average period carries out data processing；
(8) mathematic optimal model is set, the grading gathered materials is mixed to meet pitch by changing the percentage in each cold burden storehouse
It is required that；
(9) with utilizing the formal intuition of the animation and chart operation data of display systems, will be each during model running
The form for showing, and passing through control figure of the case where cold burden storehouse ratio changes, each sieve value changes and sieve value deviation image
The entire control optimization process of representation system.
It is preferred that the hot-mix asphalt mixture grading production process line Quality Control method utilizes cold burden storehouse
Opening and the speed of conveyer belt change cold burden storehouse charge proportion.
The advantages of present invention is compared with art methods and effect are：The present invention overcomes in actual complicated production
In the process, the disadvantage of conventional test methods difference of high cost, repeatable, present invention dynamic analog by way of virtual emulation are given birth to
Production process analyzes each qualitative factor of production process, obtains the governing factor for influencing its quality problems.
Description of the drawings
Fig. 1 is the operation schematic diagram of present system.
Fig. 2 is that the HMA of present system produces grading process model.
Fig. 3 is each mould of mixture gradation line Quality Control system during the hot-mix asphalt mixture of present system produces
Block.
Fig. 4 is the control logic figure of mixture gradation Optimized model during the hot-mix asphalt mixture of the present invention produces.
Specific implementation mode
Illustrate that embodiments of the present invention, those skilled in the art can be by this specification below by way of specific specific example
Disclosed content understands other advantages and effect of the present invention easily.The present invention can also pass through in addition different specific realities
The mode of applying is embodied or practiced, the various details in this specification can also be based on different viewpoints with application, without departing from
Various modifications or alterations are carried out under the spirit of the present invention.
As shown in Figure 1, in a kind of production of hot-mix asphalt mixture mixture gradation line Quality Control method.Heated bitumen
Mixture is passed through at a certain temperature fully by the pitch of appropriate dosage and coarse aggregate, fine aggregate and the filler of proper proportion
It mixes and stirs.Gather materials and be temporarily stored in cold burden storehouse, main conveyer belt is then transported to according to specific production mix formula (JMF)
On, it is mixed to gather materials to form the grading of hot asphalt mixture, ratio is matched by analogue system controlled stage.
As shown in Fig. 2, in a kind of production of hot-mix asphalt mixture mixture gradation line Quality Control method process mould
Type.In actual HMA production processes, mixing, which is gathered materials, to be mixed to form by each cold burden storehouse according to specific ratio, is then calculated
The quality percentage (sieve value) to gather materials through each sieve pore is mixed, and is compared with defined JMF limitations.Sentenced according to control standard
Whether disconnected mixture meets the requirements, if meeting can put into production, former cold burden storehouse that no person mixing is gathered materials gathers materials ratio must
Re-optimization is obtained the mixed proportion in more particularly suitable cold burden storehouse by Optimized model, and utilizes the opening in cold burden storehouse and transmission
The speed of band changes cold burden storehouse charge proportion, meeting the requirement of production.
As shown in figure 3, hot-mix asphalt mixture gradation differentials simulation and optimization control system include grading data subsystem,
Control strategy models subsystem, optimal control subsystem and image data output subsystem；Wherein：
Grading data subsystem is used to establish the basic data of hot-mix asphalt mixture production and carries out simulating data of gathering materials
Variation；
Control strategy modeling subsystem is for simulating audient's multifactor impact in practical hot-mix asphalt mixture production process
And make the changed trend of aggregate ingredient, it formulates different gradation standard according to actual conditions and copes with different manufacturer's requirements,
Requirement under job mix formula limitation as defined in meeting, this system use the one of which in following three control method, control
Method 1 processed：If any sieve value in each grading is more than the limitation of control, system is in runaway condition, the ratio in each cold burden storehouse
Example is just again optimised；Control method 2：If any two or the more than two sieve value in each grading are more than the limitation of control,
System is in runaway condition, and the ratio in each cold burden storehouse is just again optimised；Control method 3：Consider from total grading of model, if
Each sieve value deviates 70% that summation is more than maximum control limit, then system is in runaway condition, and the ratio in each cold burden storehouse is just again
It is optimised；
Optimal control subsystem nests into mathematic optimal model in system model, when model judges that system is in shape out of control
State, this system starting guide program optimize system by always mixing the percentage to gather materials shared by each cold burden storehouse of change,
It is set to be promptly restored to slave mode；The mathematic optimal model that this subsystem uses is with each minimum target of sieve value total deviation
Value meets the grading requirement that pitch mixing is gathered materials by changing the percentage in each cold burden storehouse, and meets the percentage in each cold burden storehouse
Than the bound requirement of the factors such as, each sieve value, each ore type (such as rubble crushes stone, natural sand etc.)；
Image data output subsystem mixes the variation of bituminous mixture state and relevant mould for real-time heat outputting
Type data, for intuitively showing hot-mix asphalt mixture gradation differentials.
Hot-mix asphalt mixture grading production process line Quality Control method, includes the following steps：
(1) constituent of gathering materials is inputted using cold aggregate bin setting ratio；
(2) realize that continuous system is discrete using discrete element method and using cell block distance on a moving belt and speed
Change, chooses and be used as within 1 minute the discrete unit time, the aggregate quality of transmission in 1 minute is as a discrete area；
(3) average value and variance yields respectively to gather materials is set, simulates step by changing average value, trend and step become
Three kinds of state changes of gesture, and production mix formula specification and production permit range are set according to actual demand；
(4) trend function for setting variation of gathering materials, step, trend and jump trend three are simulated by changing average value
Kind state change；
(5) Product-level, which is matched, requires standard：Standard specification limit indicates that the grading gathered materials complies with standard JMF requirements；Production specification
Limit indicates that the grading gathered materials meets manufacturer's requirement；
(6) system control method：This system uses the one of which in following three control method, control method 1：If
Any sieve value in each grading is more than the limitation of control, then system is in runaway condition, and the ratio in each cold burden storehouse is just again excellent
Change；Control method 2：If any two or the more than two sieve value in each grading are more than the limitation of control, system is in out of control
The ratio of state, each cold burden storehouse is just again optimised；Control method 3：Consider from total grading of model, if each sieve value deviates always
With 70% more than maximum control limit, then system be in runaway condition, the ratio in each cold burden storehouse is just again optimised；
(7) selection of rolling average number：Influence in order to avoid unexpected or temporary gradation differentials to aggregate grading,
It introduces rolling average method to handle data, to obtain more stable data, the present invention chooses 4,8 and 16 as shifting
Dynamic average period carries out data processing；
(8) mathematic optimal model is set, the grading gathered materials is mixed to meet pitch by changing the percentage in each cold burden storehouse
It is required that；The mathematic optimal model used is with each minimum desired value of sieve value total deviation, by the percentage for changing each cold burden storehouse
Meet the grading requirement that pitch mixing is gathered materials, and meets the percentage in each cold burden storehouse, each sieve value, the bound of each ore type
It is required that；
(9) with utilizing the formal intuition of the animation and chart operation data of display systems, will be each during model running
The form for showing, and passing through control figure of the case where cold burden storehouse ratio changes, each sieve value changes and sieve value deviation image
The entire control optimization process of representation system.
The present embodiment changes cold burden storehouse charge proportion using the opening in cold burden storehouse and the speed of conveyer belt.
As shown in figure 4, the logic control process of asphalt mixture gradation production process quality model.Asphalt mixture gradation
Control system establishes asphalt mixture gradation Controlling model using Arena simulation softwares, and reality is programmed using embedded VBA
It is existing, realize the emulation and quality control of its production process gradation differentials.It is first definition system by the function of input subsystem
Behavior, every input parameter of each sieve Value Data and initialization system that gather materials is read from Excel, including each sieve value gathered materials
Control in data, variation tendency type, the power of fluctuation, the rolling average number of data and control optimization submodel is patrolled
Volume.Then the function of optimal control subsystem is to calculate each sieve value, sets each control strategy and optimizes realization, is controlled for analysis
Effect processed provides foundation.Last image data output subsystem receives the data of model running, utilizes the form of animation and chart
The data of control optimization subsystem operation are shown.
Claims (4)
1. a kind of hot-mix asphalt mixture gradation differentials simulation and optimization control system, it is characterised in that：Including grading data
System, control strategy modeling subsystem, optimal control subsystem and image data output subsystem；Wherein：
Grading data subsystem is used to establish the basic data of hot-mix asphalt mixture production and carries out simulating data variation of gathering materials；
Control strategy modeling subsystem is for simulating audient's multifactor impact in practical hot-mix asphalt mixture production process and making
The changed trend of aggregate ingredient formulates different gradation standard according to actual conditions and copes with different manufacturer's requirements, meets
Requirement under defined job mix formula limitation, this system use the one of which in following three control method, controlling party
Method 1：If any sieve value in each grading is more than the limitation of control, system is in runaway condition, and the ratio in each cold burden storehouse is just
Again optimised；Control method 2：If any two or the more than two sieve value in each grading are more than the limitation of control, system
In runaway condition, the ratio in each cold burden storehouse is just again optimised；Control method 3：Consider from total grading of model, if each sieve
Value deviates 70% that summation is more than maximum control limit, then system is in runaway condition, and the ratio in each cold burden storehouse is just again excellent
Change；
Optimal control subsystem nests into mathematic optimal model in system model, when model judges that system is in runaway condition,
This system starting guide program optimizes system by always mixing the percentage to gather materials shared by each cold burden storehouse of change, makes
It is promptly restored to slave mode；The mathematic optimal model that this subsystem uses be with each minimum desired value of sieve value total deviation,
Meet the grading requirement that pitch mixing is gathered materials by changing the percentage in each cold burden storehouse, and meet each cold burden storehouse percentage,
Each sieve value, the requirement of the bound of each ore type；
Image data output subsystem mixes the variation of bituminous mixture state and relevant pattern number for real-time heat outputting
According to for intuitively showing hot-mix asphalt mixture gradation differentials.
2. special using the hot-mix asphalt mixture grading production process line Quality Control method of system described in claim 1
Sign is：
The basic data of hot-mix asphalt mixture production is established by grading data subsystem and carries out simulating data variation of gathering materials；
Being modeled by subsystem simulates in practical hot-mix asphalt mixture production process audient's multifactor impact by control strategy makes to gather materials
Ingredient changes trend, formulates different gradation standard according to actual conditions and copes with different manufacturers and requires, and utilizes each grading
Composition transfer determines different control programs；Mathematic optimal model is nested into system model by optimal control subsystem,
When model judges that system is in runaway condition, simulation model starting guide program, by changing, always mixing collects shared by each cold burden storehouse
The percentage of material optimizes system, it is made to be promptly restored to state of a control；It is real-time by image data output subsystem
Heat outputting mixes the variation of bituminous mixture state and relevant model data, intuitive to show hot-mix asphalt mixture grade distribution transforming
Change.
3. hot-mix asphalt mixture grading production process line Quality Control method according to claim 2, feature exist
In including the following steps：
(1) constituent of gathering materials is inputted using cold aggregate bin setting ratio；
(2) discrete model construction is realized using discrete element method and using cell block distance on a moving belt and speed,
It chooses and is used as within 1 minute the discrete unit time, the aggregate quality of transmission in 1 minute is as a discrete area；
(3) average value and variance yields respectively to gather materials is set, step, trend and jump trend three are simulated by changing average value
Kind state change, and production mix formula specification and production permit range are set according to actual demand；
(4) trend function for setting variation of gathering materials, step, three kinds of shapes of trend and jump trend are simulated by changing average value
State changes；
(5) Product-level, which is matched, requires standard：Standard specification limit indicates that the grading gathered materials complies with standard JMF requirements；Production specification limits table
Show that the grading gathered materials meets manufacturer's requirement；
(6) system control method：This system uses the one of which in following three control method, control method 1：If at different levels
Any sieve value in matching is more than the limitation of control, then system is in runaway condition, and the ratio in each cold burden storehouse is just again optimised；Control
Method 2 processed：If any two or the more than two sieve value in each grading are more than the limitation of control, system is in runaway condition,
The ratio in each cold burden storehouse is just again optimised；Control method 3：Consider from total grading of model, if each sieve value deviates summation and surpasses
The 70% of maximum control limit is crossed, then system is in runaway condition, and the ratio in each cold burden storehouse is just again optimised；
(7) selection of rolling average number：Influence in order to avoid unexpected or temporary gradation differentials to aggregate grading introduces
Rolling average method handles data, and to obtain more stable data, the present invention chooses 4,8 and 16 as mobile flat
The equal period carries out data processing；
(8) mathematic optimal model is set, meets the grading requirement that pitch mixing is gathered materials by changing the percentage in each cold burden storehouse；
(9) with utilizing the formal intuition of the animation and chart operation data of display systems, by each cold burden during model running
The case where storehouse ratio variation, the variation of each sieve value and sieve value deviation image shows, and is showed by the form of control figure
The entire control optimization process of system.
4. hot-mix asphalt mixture grading production process line Quality Control method according to claim 2, feature exist
In：Change cold burden storehouse charge proportion using the opening in cold burden storehouse and the speed of conveyer belt.
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| WO2023178827A1 (en) * | 2022-03-23 | 2023-09-28 | 常德市三一机械有限公司 | Feeding control method and apparatus, and asphalt stirring station |
| CN117131314A (en) * | 2023-10-25 | 2023-11-28 | 山东力驰市政建设工程有限公司 | Mixed material temperature monitoring and regulating system for asphalt pavement construction |
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| WO2023178827A1 (en) * | 2022-03-23 | 2023-09-28 | 常德市三一机械有限公司 | Feeding control method and apparatus, and asphalt stirring station |
| CN117131314A (en) * | 2023-10-25 | 2023-11-28 | 山东力驰市政建设工程有限公司 | Mixed material temperature monitoring and regulating system for asphalt pavement construction |
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