CN116837690A - Cold material treatment method and device and asphalt mixing plant - Google Patents
Cold material treatment method and device and asphalt mixing plant Download PDFInfo
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- CN116837690A CN116837690A CN202210292426.3A CN202210292426A CN116837690A CN 116837690 A CN116837690 A CN 116837690A CN 202210292426 A CN202210292426 A CN 202210292426A CN 116837690 A CN116837690 A CN 116837690A
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- 239000000463 material Substances 0.000 title claims abstract description 344
- 238000000034 method Methods 0.000 title claims abstract description 43
- 239000010426 asphalt Substances 0.000 title abstract description 21
- 238000003860 storage Methods 0.000 claims abstract description 80
- 238000013499 data model Methods 0.000 claims abstract description 49
- 238000012216 screening Methods 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 2
- 239000002245 particle Substances 0.000 description 10
- 238000003672 processing method Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000005303 weighing Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 239000000203 mixture Substances 0.000 description 3
- 238000012163 sequencing technique Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 239000011384 asphalt concrete Substances 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
- E01C19/00—Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving
- E01C19/02—Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving for preparing the materials
- E01C19/10—Apparatus or plants for premixing or precoating aggregate or fillers with non-hydraulic binders, e.g. with bitumen, with resins, i.e. producing mixtures or coating aggregates otherwise than by penetrating or surface dressing; Apparatus for premixing non-hydraulic mixtures prior to placing or for reconditioning salvaged non-hydraulic compositions
- E01C19/1059—Controlling the operations; Devices solely for supplying or proportioning the ingredients
- E01C19/1068—Supplying or proportioning the ingredients
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Abstract
The invention relates to the field of mechanical control, and provides a cold material treatment method and device and an asphalt mixing plant, wherein the method comprises the following steps: conveying the cold materials in the target cold material bin to a plurality of aggregate bins, wherein each aggregate in the cold materials respectively enters the corresponding aggregate bin; detecting the storage quantity of each aggregate in the cold material in a corresponding aggregate bin; determining the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material; and constructing a cold material data model based on the content of each aggregate in the cold material. Solves the problem that the prior art lacks a scientific cold material feeding basis to improve the accuracy of the feeding control of the cold material bin. By conveying the cold material in the target cold material bin to the plurality of aggregate bins, detecting the storage quantity of each aggregate in the cold material in the corresponding aggregate bin, and further obtaining the content of each aggregate in the cold material, a cold material data model containing the content of each aggregate of the cold material is constructed, a more scientific loading basis of the cold material can be provided, and the accuracy of loading control of the cold material is improved.
Description
Technical Field
The invention relates to the technical field of mechanical control, in particular to a cold material treatment method and device and an asphalt mixing plant.
Background
Asphalt mixing plants are complete plants for mass production of asphalt concrete.
In the prior art, when the asphalt mixing plant is used for feeding, the condition of cold materials of each cold material bin can only be roughly judged according to the material level change or the manual confirmation of the aggregate bin after feeding, and the feeding control of the guide cold material bin is inaccurate. Therefore, a scientific cold material feeding basis is lacked in the prior art to improve the accuracy of the feeding control of the cold material bin.
Disclosure of Invention
The invention provides a cold material processing method and device and an asphalt mixing station, which are used for solving the defect that a scientific cold material feeding basis is lacked in the prior art to improve the accuracy of feeding control of a cold material bin, realizing the construction of a cold material data model capable of quantitatively reflecting the condition of cold materials, and providing a more scientific cold material feeding basis so as to improve the accuracy of feeding control of the cold materials.
The invention provides a cold material treatment method, which comprises the following steps:
conveying the cold materials in the target cold material bin to a plurality of aggregate bins, wherein each aggregate in the cold materials respectively enters the corresponding aggregate bin;
detecting the storage quantity of each aggregate in the cold material in the corresponding aggregate bin;
determining the content of each aggregate in the cold charge based on the storage amount of each aggregate in the cold charge;
and constructing a cold material data model based on the content of each aggregate in the cold material.
According to the method for processing the cold material provided by the invention, the detection of the storage amount of each aggregate in the cold material in the corresponding aggregate bin comprises the following steps:
detecting the weight of each aggregate in the cold material in the corresponding aggregate bin by using a metering scale;
or detecting the material level value of each aggregate in the cold material in the corresponding aggregate bin by using a material level meter.
According to the cold material treatment method provided by the invention, the cold material in the target cold material bin is conveyed to a plurality of aggregate bins, and the cold material treatment method comprises the following steps:
and conveying the cold materials in the target cold material bin to a plurality of aggregate bins according to the preset feeding time length or the preset feeding total amount.
According to the cold material treatment method provided by the invention, the cold material in the target cold material bin is conveyed to a plurality of aggregate bins, and the cold material treatment method comprises the following steps:
and conveying the cold materials in the target cold material bin to a screen, and screening the aggregates in the cold materials into the corresponding aggregate bin through the screen.
According to the method for processing the cold material, which is provided by the invention, the content of each aggregate in the cold material is determined based on the storage quantity of each aggregate in the cold material, and the method comprises the following steps:
summing the storage amounts of the aggregates to obtain a total storage amount;
the content of each aggregate is determined based on the ratio of the storage amount of each aggregate to the total storage amount.
According to the cold material processing method provided by the invention, a cold material data model is constructed based on the content of each aggregate in the cold material, and the cold material data model comprises the following steps:
sorting the content of each aggregate in the cold material;
and constructing the cold material data model based on the sorting result.
According to the cold material treatment method provided by the invention, before the cold material in the target cold material bin is conveyed to the aggregate bins, the cold material treatment method further comprises the following steps:
and for a plurality of cold storage bins, sequentially selecting one cold storage bin as the target cold storage bin according to a preset sequence.
According to the cold material processing method provided by the invention, the cold material data model comprises the cold material, the aggregates in the cold material and the corresponding relation of the contents of the aggregates.
The invention also provides a cold material treatment device, which comprises:
the cold material conveying module is used for conveying the cold material in the target cold material bin to a plurality of aggregate bins, wherein each aggregate in the cold material enters the corresponding aggregate bin;
the aggregate detection module is used for detecting the storage quantity of each aggregate in the cold material in the corresponding aggregate bin;
the content determining module is used for determining the content of each aggregate in the cold material based on the storage quantity of each aggregate in the cold material;
and the model construction module is used for constructing a cold material data model based on the content of each aggregate in the cold material.
The invention also provides an asphalt mixing plant, which comprises an asphalt mixing plant body and a controller, wherein the controller is used for realizing the cold material treatment method.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the cold material processing method is realized by the processor when the program is executed.
The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a cold charge treatment method as described in any of the above.
According to the cold material treatment method provided by the invention, the cold material in the target cold material bin is conveyed to the plurality of aggregate bins, wherein each aggregate enters the corresponding aggregate bin respectively, the storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected, and the content of each aggregate in the cold material is further obtained, so that a cold material data model containing the content of each aggregate of the cold material is constructed, the cold material data model can quantitatively reflect the condition of the cold material, and a more scientific loading basis of the cold material can be provided, so that the accuracy of loading control of the cold material is improved.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a cold material treatment method provided by the invention;
FIG. 2 is a schematic diagram of a loading control system provided by the invention;
FIG. 3 is a second flow chart of the cold material treatment method according to the present invention;
FIG. 4 is a schematic diagram of a cold material treatment device according to the present invention;
fig. 5 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. 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.
The invention provides a cold material treatment method, which can be applied to cold material treatment equipment or software and/or hardware in the cold material treatment equipment, can be applied to an asphalt mixing station by way of example, and can be executed by software and/or hardware in the asphalt mixing station, and can be executed by a controller, wherein the controller can control various parts in a feeding control system of the asphalt mixing station, and the controller can be a programmable logic controller (Programmable Logic Controller, PLC) or a single chip microcomputer.
The cold charge treatment method of the present invention is described below with reference to fig. 1 to 3.
FIG. 1 is a schematic flow chart of a cold material treatment method according to the present invention.
As shown in fig. 1, the embodiment provides a cold material treatment method, which at least includes the following steps:
and 101, conveying the cold materials in the target cold material bin to a plurality of aggregate bins, wherein each aggregate in the cold materials respectively enters the corresponding aggregate bin.
Step 102, detecting storage quantity of each aggregate in the cold material in the corresponding aggregate bin.
Step 103, determining the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material.
And 104, constructing a cold material data model based on the content of each aggregate in the cold material.
The cold material bin is used for storing cold materials, the components in the cold materials generally comprise aggregates with different particle sizes, each aggregate bin can store aggregates with different particle sizes, the cold materials of the cold material bin are conveyed to a plurality of aggregate bins, each aggregate can enter the aggregate bin with the corresponding particle size, at this time, the aggregates of each aggregate bin are all from the same cold material, and the storage capacity of the aggregates in each aggregate bin can reflect the distribution of the cold materials on the content of each aggregate, so that the content of each aggregate in the cold materials is determined based on the storage capacity of each aggregate in the cold materials, and then a cold material data model is constructed, wherein the cold material data model comprises the content of each aggregate in the cold materials. Illustratively, the aggregate content may be the weight proportion of the aggregate in the cold charge, the volume proportion of the aggregate in the cold charge, and the like. It should be noted that, before the cold materials in the cold material bin enter the aggregate bin, no other aggregate exists in the aggregate bin.
The target cold material bin is the cold material bin for determining the content of each aggregate in the cold material.
The cold material data model may include the cold material, each aggregate in the cold material, and a corresponding relationship between the aggregate content.
The constructed cold material data model contains the content of each aggregate in the cold material, so that the condition of the cold material can be quantitatively reflected, a data basis is provided for judging the type of the cold material, a more scientific feeding basis can be provided for manual feeding or automatic feeding of the cold material, and the accuracy of feeding control is improved.
In this embodiment, the cold material in the target cold material bin is conveyed to the plurality of aggregate bins, wherein each aggregate enters the corresponding aggregate bin respectively, and the storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected, so that the content of each aggregate in the cold material is obtained, and a cold material data model containing the content of each aggregate of the cold material is constructed.
Based on the above embodiment, the delivering the cold material in the target cold material bin to the plurality of aggregate bins includes: and conveying the cold materials in the target cold material bin to a screen, and screening the aggregates in the cold materials into the corresponding aggregate bin through the screen. The screen cloth has screening function for the aggregate of different particle diameters is sieved to the cold burden, then respectively deposits in the aggregate storehouse of corresponding particle diameter. The screen may be a vibrating screen. Thus, each aggregate of the cold material can be accurately distinguished.
Both the cold storage bin and the aggregate storage bin are existing parts in the asphalt mixing plant, so that cold materials in the cold storage bin can be conveyed to each aggregate storage bin based on the asphalt mixing plant. The feeding control system in the asphalt mixing plant shown in fig. 2 comprises a controller, a plurality of cold bins, a plurality of aggregate bins, a plurality of motors (shown as M in the figure) connected with the cold bins in a one-to-one correspondence manner, a plurality of frequency converters electrically connected with the motors in a one-to-one correspondence manner, a plurality of feeding belts arranged with the cold bins in a one-to-one correspondence manner, a conveying belt corresponding to the feeding belts, a roller, a lifting machine and a screen (such as a vibrating screen). The controller is electrically connected with each frequency converter. The figure is shown with 6 cold feed bins, and is numbered, namely a No. 1 cold feed bin, a No. 2 cold feed bin, a No. 3 cold feed bin, a No. 4 cold feed bin, a No. 5 cold feed bin and a No. 6 cold feed bin, and is shown with 6 aggregate bins, and is numbered, namely a No. 1 aggregate bin, a No. 2 aggregate bin, a No. 3 aggregate bin, a No. 4 aggregate bin, a No. 5 aggregate bin and a No. 6 aggregate bin.
Based on this, the controller can control the speed of motor through the frequency of control converter to get into the shale shaker with the cold charge of cold feed bin through material loading belt, conveyer belt, cylinder, lifting machine, the aggregate that subdivides the cold charge into different particle diameters through the vibration of shale shaker gets into the aggregate bin of corresponding particle diameter.
Based on the feeding control system, the cold materials in the cold material bin can be conveyed to a plurality of aggregate bins. Therefore, the automatic construction of the cold material data model can be realized by using the existing asphalt mixing plant, other professional equipment is not needed, and the operation is simple and has strong popularization.
In the prior art, the cold material feeding of the asphalt mixing plant adopts manual control, an operator is far away from a cold material bin, the type of the cold material of each cold material bin can only be judged according to the change of the material level of a bone material bin after feeding or manual confirmation, the feeding frequency and the feeding type are also determined according to the previous operation experience during operation, and a scientific cold material feeding basis taking data as a support is lacked. In addition, the cold materials are different in composition due to the fact that raw materials possibly come from different geological areas and the like, and simple experience does not have replicability among the cold materials in different areas, so that the feeding is greatly affected. In the embodiment of the invention, the cold material data model is established by carrying out scientific data analysis on the cold material, a data base is provided for cold material feeding, and the condition of the cold material can be accurately reflected, so that the cold material is fed accurately.
In an exemplary embodiment, the conveying the cold material in the target cold material bin to the plurality of aggregate bins may include: and conveying the cold materials in the target cold material bin to a plurality of aggregate bins according to the preset feeding time length or the preset feeding total amount.
Considering that the main purpose of this embodiment is to obtain the content of each aggregate of the cold material in the target cold material bin, therefore, continuous feeding is not required, as long as the content of each aggregate of the cold material can be accurately analyzed, so that the processing efficiency can be improved, and based on this, this embodiment provides two ways of conveying the cold material to multiple aggregate bins, one way is to continuously feed for a preset feeding time period, then stop feeding, and the other way is to feed according to a preset feeding total amount, and stop feeding after the preset feeding total amount is reached. For the feeding mode according to the preset total feeding amount, the cold material of the preset total feeding amount can be weighed in advance and put into the cold material bin. The preset feeding time length and the preset feeding total amount can be set according to experience statistics, and are not particularly limited herein.
In an exemplary embodiment, the detecting each of the cold materialsThe storage capacity of the aggregate in the corresponding aggregate bin can be realized by the following steps: detecting the weight of each aggregate in the cold material in the corresponding aggregate bin by using a metering scale; or detecting the material level value of each aggregate in the cold material in the corresponding aggregate bin by using a material level meter. The feeding control system shown in fig. 2, wherein the aggregate bins correspond to weighing scales, the aggregate of each aggregate bin can be sequentially discharged onto the weighing scales, the weight of the currently discharged aggregate is weighed by the weighing scales, and the currently discharged aggregate is taken as storage capacity to obtain w 1 ,w 2 ,w 3 ,w 4 ,w 5 ,w 6 ,…w n ，w n The weight of aggregate in the n-numbered aggregate bins is represented. The level value of the aggregate in each aggregate bin can be detected by a level gauge (shown by a strip structure in the aggregate bin in fig. 2) in each aggregate bin to obtain L as the storage capacity 1 ,L 2 ,L 3 ,L 4 ,L 5 ,L 6 …L n ，L n The material level value of the aggregate of the n-number aggregate bins in the n aggregate bins is represented, and the material level value can reflect the volume of the aggregate.
Correspondingly, based on the storage amount of each aggregate in the cold charge, determining the content of each aggregate in the cold charge can be realized by the following steps: summing the storage capacity of each aggregate to obtain the total storage capacity; the content of each aggregate is determined based on the ratio of the storage amount of each aggregate to the total storage amount.
In practical application, the ratio of the storage quantity of the aggregate to the total storage quantity can be directly used as the content of the aggregate.
If the storage quantity of the aggregate is the weight of the aggregate, the content A of the kth aggregate in the n aggregates of the cold charge k ＝w k /(w 1 +w 2 +w 3 +w 4 +w 5 +w 6 +…+w n ),1≤k≤n，w k Is the weight of the kth aggregate. Based on this, the content of the aggregate is the weight ratio of the aggregate.
If the storage capacity of the aggregate is the level value of the aggregate, the content A of the kth aggregate in the n aggregates of the cold charge k ＝L k /(L 1 +L 2 +L 3 +L 4 +L 5 +L 6 +…+L n ),1≤k≤n，L k Is the level value of the kth aggregate. Based on this, the content of the aggregate is the volume ratio of the aggregate.
Of course, the ratio of the storage amount of the aggregate to the total storage amount may be multiplied by a set coefficient to be used as the content of the aggregate.
Therefore, the storage capacity of each aggregate can be accurately obtained through the existing metering balance and the existing level indicator in the asphalt mixing plant, and the content of each aggregate in the cold material can be accurately obtained.
In an exemplary embodiment, before the delivering the cold material in the target cold material bin to the plurality of aggregate bins, the cold material processing method of the embodiment may further include: and for a plurality of cold storage bins, sequentially selecting one cold storage bin as the target cold storage bin according to a preset sequence.
In practical application, a plurality of cold materials can be stored in a plurality of cold material bins, based on the cold materials, the content of each aggregate in the cold materials can be determined, and based on the content of each aggregate in the cold materials of the plurality of cold material bins, a cold material data model is constructed. In the cold material data model, the serial number of each cold material and the serial number and content of each corresponding aggregate are recorded. Thus, the cold material data model containing the content of each aggregate in various cold materials can be obtained quickly, and the cold material data model is very comprehensive.
Based on the feeding control system shown in fig. 2, for example, the No. 1 cold material bin of the 6 cold material bins can be selected as a target cold material bin, the No. 1 cold material in the 6 cold material bins is conveyed to a plurality of aggregate bins according to a preset feeding time length and a preset feeding speed, then feeding is stopped, after the content of each aggregate in the No. 1 cold material of the No. 1 cold material bin is obtained, the No. 2 cold material bin is selected as a target cold material bin, the No. 2 cold material in the No. 2 cold material bin is conveyed to a plurality of aggregate bins according to a preset feeding time length and a preset feeding speed, so that the content of each aggregate of the cold material in the 6 cold material bins is obtained until the 6 cold material bins are all selected, and thus the automatic construction of the cold material database is completed.
In an exemplary embodiment, the constructing a cold charge data model based on the content of each aggregate in the cold charge may include: sorting the content of each aggregate in the cold material; and constructing the cold material data model based on the sorting result. The cold material data model obtained after the content of each aggregate in the cold material is sequenced can clearly reflect the content sequencing of each aggregate in the cold material, and the inquiry is more convenient. Illustratively, the contents (weight or volume) of the respective aggregates in each cold mix are arranged in order from large to small. The following is an example. The cold material data models shown in table 1 are respectively indicated by 6 cold materials, namely No. 1 to No. 6 cold materials, wherein each cold material comprises the content of aggregate No. 1, the content of aggregate No. 2, the content of aggregate No. 3, the content of aggregate … … and the content of aggregate Amin_1 of min_1, wherein min_1 represents the aggregate with the minimum content, and Amin_1 represents the content of the aggregate with the minimum content.
Because some cold materials are mainly composed of some aggregates, the content of the aggregates is higher, the content of other aggregates is lower, and the influence on the feeding speed is smaller, so that the influence of the aggregates can be ignored, and various aggregates with the highest content in the cold material data model are obtained, namely, some main aggregates are concerned, so that the cold material data model is simplified. Based on this, after constructing the cold material data model, it may further include: and obtaining at least one aggregate with the highest content in the cold material, and obtaining the simplified cold material data model. The simplified cold material data model is shown in table 2, and is schematically represented by 6 cold materials, namely No. 1 to No. 6 cold materials, and each cold material corresponds to three aggregates with the highest content.
Table 1 cold charge data model
Table 2 simplified cold charge data model
The following describes a feeding control method provided by the embodiment of the present invention in more detail by taking a specific application scenario as an example.
In practical application, the cold material to be treated needs to be kept dry, so as to meet the screening requirement of the screen.
Based on the system shown in fig. 2, the controller starts the following cold charge process flow:
starting from a first cold material bin (such as a No. 1 cold material bin in the figure), referring to fig. 3, the first step, the controller controls the frequency of a frequency converter corresponding to the cold material bin, so that a corresponding motor starts the feeding of the cold material bin at a certain speed and for a preset feeding time period, the cold material of the cold material bin sequentially passes through a feeding belt, a conveying belt, a roller and a lifting machine to reach a vibrating screen, the vibrating screen completes subdivision of the cold material according to the size of the particle size, so that aggregates with various particle sizes enter an aggregate bin with corresponding particle size, and after the preset feeding time period is met, the feeding is stopped. Wherein, the cold charge gets into the lifting machine through the discharge gate of cylinder.
Secondly, respectively discharging the aggregates of each aggregate bin onto a weighing scale by the controller in sequence, and collecting the weight w of each aggregate by using the weighing scale 1 ,w 2 ,w 3 ,w 4 ,w 5 ,w 6 ,…w n Calculating the content of each aggregate and the content A of the kth aggregate k ＝w k /(w 1 +w 2 +w 3 +w 4 +w 5 +w 6 +…+w n ) Alternatively, a level gauge (such as a continuous level gauge) in each aggregate bin is used for detecting the level value of the aggregate in the aggregate bin to obtain L 1 ,L 2 ,L 3 ,L 4 ,L 5 ,L 6 …L n Content A of kth aggregate k ＝L k /(L 1 +L 2 +L 3 +L 4 +L 5 +L 6 +…+L n )。
Thirdly, sequencing the content of each aggregate in the cold material from large to small, and recording the serial number sequence of the aggregate and the corresponding content sequence of the aggregate obtained after sequencing; and combining the serial number sequence of the sequenced aggregates with the corresponding content sequence of the aggregates to obtain the content of each aggregate in the cold material, namely a composition table of the cold material.
And step four, judging whether the weight or the material level value of the aggregate of all the cold material bins is acquired, if yes, gathering and combining the component tables of each cold material to form a cold material data model, otherwise, executing the step one for the next cold material bin.
Thus, the cold materials of all cold material bins are completely fed and collected. The existing equipment of the asphalt mixing plant is utilized to complete the component analysis of the aggregate in the cold material, other professional equipment is not needed, the operation is simple, and the popularization is very strong. The content of each aggregate containing the cold material in the cold material data model can provide a scientific data basis for manual feeding and automatic feeding. Different types of cold materials can be decomposed into the aggregate content in the cold material data model, the types and the areas of the cold materials are not limited, and the influence by raw materials and the environment is small.
The cold material treatment device provided by the invention is described below, and the cold material treatment device described below and the cold material treatment method described above can be referred to correspondingly.
Fig. 4 is a schematic structural diagram of a cold material treatment device provided by the invention.
As shown in fig. 4, the cold material processing apparatus provided in this embodiment includes:
the cold material conveying module 401 is configured to convey cold materials in a target cold material bin to a plurality of aggregate bins, where each aggregate in the cold materials enters the corresponding aggregate bin respectively;
the aggregate detection module 402 is configured to detect a storage amount of each aggregate in the cold material in the corresponding aggregate bin;
a content determining module 403, configured to determine a content of each aggregate in the cold charge based on the storage amount of each aggregate in the cold charge;
the model building module 404 is configured to build a cold material data model based on the content of each aggregate in the cold material.
In this embodiment, the cold material in the target cold material bin is conveyed to the plurality of aggregate bins, wherein each aggregate enters the corresponding aggregate bin respectively, and the storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected, so that the content of each aggregate in the cold material is obtained, and a cold material data model containing the content of each aggregate of the cold material is constructed.
In an exemplary embodiment, the aggregate detection module 402 is specifically configured to:
detecting the weight of each aggregate in the cold material in the corresponding aggregate bin by using a metering scale;
or detecting the material level value of each aggregate in the cold material in the corresponding aggregate bin by using a material level meter.
In an exemplary embodiment, the cold feed transport module 401 is specifically configured to:
and conveying the cold materials in the target cold material bin to a plurality of aggregate bins according to the preset feeding time length or the preset feeding total amount.
The cold material conveying module 401 is specifically configured to:
and conveying the cold materials in the target cold material bin to a screen, and screening the aggregates in the cold materials into the corresponding aggregate bin through the screen.
In an exemplary embodiment, the content determination module 403 is specifically configured to:
summing the storage amounts of the aggregates to obtain a total storage amount;
the content of each aggregate is determined based on the ratio of the storage amount of each aggregate to the total storage amount.
In an exemplary embodiment, the model building module 404 is specifically configured to:
sorting the content of each aggregate in the cold material;
and constructing the cold material data model based on the sorting result.
The cold feed conveying module 401 is further configured to:
and for a plurality of cold storage bins, sequentially selecting one cold storage bin as the target cold storage bin according to a preset sequence.
In an exemplary embodiment, the cold charge data model includes the cold charge, each aggregate in the cold charge, and a correspondence of the content of each aggregate.
The invention also provides an asphalt mixing plant, which comprises an asphalt mixing plant body and a controller, wherein the controller is used for realizing the cold material treatment method provided by any embodiment.
Fig. 5 illustrates a physical schematic diagram of an electronic device, as shown in fig. 5, which may include: processor 510, communication interface (Communications Interface) 520, memory 530, and communication bus 540, wherein processor 510, communication interface 520, memory 530 complete communication with each other through communication bus 540. Processor 510 may invoke logic instructions in memory 530 to perform a cold material processing method comprising:
conveying the cold materials in the target cold material bin to a plurality of aggregate bins, wherein each aggregate in the cold materials respectively enters the corresponding aggregate bin;
detecting the storage quantity of each aggregate in the cold material in the corresponding aggregate bin;
determining the content of each aggregate in the cold charge based on the storage amount of each aggregate in the cold charge;
and constructing a cold material data model based on the content of each aggregate in the cold material.
Further, the logic instructions in the memory 530 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method of cold charge treatment provided by the methods described above, the method comprising:
conveying the cold materials in the target cold material bin to a plurality of aggregate bins, wherein each aggregate in the cold materials respectively enters the corresponding aggregate bin;
detecting the storage quantity of each aggregate in the cold material in the corresponding aggregate bin;
determining the content of each aggregate in the cold charge based on the storage amount of each aggregate in the cold charge;
and constructing a cold material data model based on the content of each aggregate in the cold material.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the above provided cold charge processing methods, the method comprising:
conveying the cold materials in the target cold material bin to a plurality of aggregate bins, wherein each aggregate in the cold materials respectively enters the corresponding aggregate bin;
detecting the storage quantity of each aggregate in the cold material in the corresponding aggregate bin;
determining the content of each aggregate in the cold charge based on the storage amount of each aggregate in the cold charge;
and constructing a cold material data model based on the content of each aggregate in the cold material.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of cold charge treatment comprising:
conveying the cold materials in the target cold material bin to a plurality of aggregate bins, wherein each aggregate in the cold materials respectively enters the corresponding aggregate bin;
detecting the storage quantity of each aggregate in the cold material in the corresponding aggregate bin;
determining the content of each aggregate in the cold charge based on the storage amount of each aggregate in the cold charge;
and constructing a cold material data model based on the content of each aggregate in the cold material.
2. The method of claim 1, wherein the detecting the storage amount of each aggregate in the cold material in the corresponding aggregate bin comprises:
detecting the weight of each aggregate in the cold material in the corresponding aggregate bin by using a metering scale;
or detecting the material level value of each aggregate in the cold material in the corresponding aggregate bin by using a material level meter.
3. The method of claim 1, wherein the delivering the cold charge in the target cold store to the plurality of aggregate stores comprises:
and conveying the cold materials in the target cold material bin to a plurality of aggregate bins according to the preset feeding time length or the preset feeding total amount.
4. The method of claim 1, wherein the delivering the cold charge in the target cold store to the plurality of aggregate stores comprises:
and conveying the cold materials in the target cold material bin to a screen, and screening the aggregates in the cold materials into the corresponding aggregate bin through the screen.
5. The method according to any one of claims 1 to 4, wherein the determining the content of each of the aggregates in the cold charge based on the storage amount of each of the aggregates in the cold charge comprises:
summing the storage amounts of the aggregates to obtain a total storage amount;
the content of each aggregate is determined based on the ratio of the storage amount of each aggregate to the total storage amount.
6. The method of claim 1, wherein constructing a cold charge data model based on the content of each aggregate in the cold charge comprises:
sorting the content of each aggregate in the cold material;
and constructing the cold material data model based on the sorting result.
7. The method of claim 1, further comprising, prior to said delivering the cold charge in the target cold store to the plurality of aggregate stores:
and for a plurality of cold storage bins, sequentially selecting one cold storage bin as the target cold storage bin according to a preset sequence.
8. The method according to claim 1, wherein the cold material data model includes the cold material, each aggregate in the cold material, and a correspondence relationship between the content of each aggregate.
9. A cold material treatment apparatus, comprising:
the cold material conveying module is used for conveying the cold material in the target cold material bin to a plurality of aggregate bins, wherein each aggregate in the cold material respectively enters the corresponding aggregate bin;
the aggregate detection module is used for detecting the storage quantity of each aggregate in the cold material in the corresponding aggregate bin;
the content determining module is used for determining the content of each aggregate in the cold material based on the storage quantity of each aggregate in the cold material;
and the model construction module is used for constructing a cold material data model based on the content of each aggregate in the cold material.
10. A bituminous mixing plant comprising a bituminous mixing plant body and a controller for implementing a cold work treatment process according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210292426.3A CN116837690A (en) | 2022-03-23 | 2022-03-23 | Cold material treatment method and device and asphalt mixing plant |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210292426.3A CN116837690A (en) | 2022-03-23 | 2022-03-23 | Cold material treatment method and device and asphalt mixing plant |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116837690A true CN116837690A (en) | 2023-10-03 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210292426.3A Pending CN116837690A (en) | 2022-03-23 | 2022-03-23 | Cold material treatment method and device and asphalt mixing plant |
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| Country | Link |
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| CN (1) | CN116837690A (en) |
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- 2022-03-23 CN CN202210292426.3A patent/CN116837690A/en active Pending
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