CN114004301A - Ash conveying system and control method based on cluster analysis - Google Patents
Ash conveying system and control method based on cluster analysis Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000007621 cluster analysis Methods 0.000 title claims abstract description 46
- 239000006185 dispersion Substances 0.000 claims abstract description 62
- 239000002893 slag Substances 0.000 claims abstract description 55
- 230000005540 biological transmission Effects 0.000 claims abstract description 50
- 238000004458 analytical method Methods 0.000 claims abstract description 17
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- 238000004134 energy conservation Methods 0.000 abstract 1
- 238000005265 energy consumption Methods 0.000 abstract 1
- 239000002956 ash Substances 0.000 description 159
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- 238000002485 combustion reaction Methods 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
- 238000011985 exploratory data analysis Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 239000010881 fly ash Substances 0.000 description 1
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Abstract
The invention provides an ash conveying system and a control method based on cluster analysis. The system comprises an ash collecting end, an ash dispersing end, an ash clustering end, a conveying device and a conveying control end. The ash collecting end collects ash to be treated from an ash stacking plant based on a first collecting parameter and transmits the ash to the ash dispersing end; the ash slag dispersing end executes dispersing operation based on the second dispersing parameters to obtain a plurality of dispersed ash slag piles; performing clustering analysis by an ash clustering end to obtain a plurality of clustering groups; the transmitting device transmits the dispersed ash piles corresponding to the plurality of clustering groups based on the third transmission parameter; the first collection parameter, the second dispersion parameter and the third transmission parameter are dynamically adjusted by the conveying control end based on the result of the cluster analysis. The method includes obtaining a plurality of cluster groups by a K-means clustering method. The invention realizes the self-adaptive control of the ash conveying system based on cluster analysis, and is beneficial to energy conservation and consumption reduction.
Description
Technical Field
The invention belongs to the technical field of clustering and ash conveying, and particularly relates to an ash conveying system based on clustering analysis, a control method, control equipment and a computer readable storage medium.
Background
Ash, i.e., slag, also referred to as "bottom slag", is ash discharged from a bottom slag hole after solid fuel is burned in a furnace of a combustion facility such as a boiler. The slag is one of the main bulk industrial solid wastes in China. Coal is used as an energy source in a thermal power plant, which means that a remarkable amount of coal is consumed in middle-aged years with thermal power as a main energy structure. The huge amount of coal will bring about considerable ash handling and disposal problems. Ash conveying, which mainly refers to a process of conveying the bottom slag of a boiler and the fly ash collected by a dust remover to an ash warehouse and an ash yard for subsequent transportation and treatment.
The mathematical method of classifying things according to certain requirements is called clustering analysis. Clustering differs from classification in that the class into which the clustering is required to be divided is unknown. Clustering is a process of classifying data into different classes or clusters, so that objects in the same cluster have great similarity, and objects in different clusters have great dissimilarity. The cluster analysis is an exploratory analysis, and in the classification process, people do not need to give a classification standard in advance, and the cluster analysis can automatically classify from sample data. Different conclusions are often reached from the different methods used for cluster analysis. Different researchers do not necessarily obtain the same cluster number when performing cluster analysis on the same group of data.
In the prior art, a coal ash component is simply subjected to a clustering analysis method (for example, Cao Neng Qiang. fuzzy clustering cycle iterative model and application thereof in coal ash classification [ J ]. comprehensive utilization of coal ash, 2004,000(002): 3-5; CN 112668622A-analysis method and analysis and calculation equipment of coal geological component data).
However, for ash conveying, the prior art has not utilized cluster analysis to execute ash conveying control to achieve energy saving and consumption reduction.
Disclosure of Invention
In order to solve the technical problems, the invention provides an ash conveying system and a control method based on cluster analysis, a data processing device and a computer readable storage medium.
In a first aspect of the invention, a slag conveying system based on cluster analysis is provided, which comprises a slag collecting end, a slag dispersing end, a slag clustering end, a conveying device and a conveying control end;
the ash collecting end collects ash to be processed from an ash stacking plant based on a first collecting parameter and transmits the ash to the ash dispersing end;
more specifically, the ash collecting end collects ash to be treated from an ash stacking plant based on a set volume corresponding to a first collecting parameter and transmits the ash to the ash dispersing end;
the ash slag dispersing end carries out dispersing operation on the ash slag to be treated to obtain a plurality of dispersed ash slag piles;
more specifically, the ash dispersing end carries out dispersing operation on the ash to be treated based on a second dispersing parameter to obtain a plurality of dispersed ash piles;
wherein the ash dispersing end comprises a rotary dispersing device; the second dispersion parameter is used for adjusting the rotation rate of the rotating dispersion device;
the ash slag clustering end performs clustering analysis on the dispersed ash slag piles to obtain a plurality of clustering groups;
the conveying device conveys the dispersed ash piles corresponding to the plurality of clustering groups based on a third conveying parameter, which is specifically represented as follows: the conveying control end controls the conveying device to convey the dispersed ash piles corresponding to the plurality of clustering groups, and conveying control parameters of the conveying device are different under different clustering groups.
Unlike the static parameter control of the prior art, as a first important improvement of the present invention, in the present invention, the first collection parameter, the second dispersion parameter, and the third transmission parameter are dynamically adjusted by the transportation control end based on the result of the cluster analysis.
As a further improvement, the ash slag clustering end comprises an image acquisition device and a laser emission device;
the ash slag clustering end obtains the clustering parameters of each dispersed ash slag pile through the image acquisition device and the laser emission device;
obtaining a plurality of clustering groups by a K-means clustering method based on the clustering parameters;
each cluster group at least comprises one dispersed ash pile, and the weight of the dispersed ash pile in each cluster group is within a preset range.
The conveying control end is communicated with the ash collecting end;
and the conveying control end adjusts the set volume quantity based on the number of the cluster groups and the number of elements contained in each cluster group.
As a further improvement, the ash dispersion end comprises a rotating dispersion device having a first rotation rate;
the transport control end adjusts the first rotation rate based on the number of elements included in each cluster group and the number of elements included in each cluster group.
More specifically, the ash dispersion end includes a rotating dispersion device having a first rotation rate;
the transport control end adjusts the first rotation rate based on the number of elements included in each cluster group and the number of elements included in each cluster group.
The adjusting, by the transportation control end, the first rotation rate based on the number of elements included in each cluster group and the number of elements included in each cluster group specifically includes:
the transmission control end determines the maximum element number of the current grouping contained in all the current clustering groupings;
if the maximum element number of the current grouping is larger than the maximum element number of the previous grouping contained in the previous clustering grouping, reducing the first rotation rate;
otherwise, the first rotation rate is increased.
As another improvement, the conveying control end is communicated with the ash dispersing end;
the transmission control end obtains the current grouping number of the current clustering grouping;
if the current packet number is larger than the preset packet number, reducing the first rotation rate;
otherwise, the first rotation rate is increased.
In a second aspect of the invention, a method for controlling an ash conveying system based on cluster analysis is provided, the ash conveying system comprises an ash collecting end, an ash dispersing end, an ash clustering end, a conveying device and a conveying control end, the ash collecting end is provided with a first collecting parameter, the ash dispersing end is provided with a second dispersing parameter, the conveying device is provided with a third conveying parameter, and the first collecting parameter, the second dispersing parameter and the third conveying parameter are dynamically adjusted by the conveying control end;
specifically, the method comprises the following steps:
s1: initializing the first acquisition parameter, the second dispersion parameter and the third transmission parameter;
s2: the ash collecting end collects ash to be processed from an ash stacking plant based on a first collecting parameter and transmits the ash to the ash dispersing end;
s3: the ash slag dispersing end carries out dispersing operation on the ash slag to be treated based on a second dispersing parameter to obtain a plurality of dispersed ash slag piles;
s4: the ash slag clustering end performs clustering analysis on the dispersed ash slag piles to obtain a plurality of clustering groups;
s5: the transmission control end adjusts the third transmission parameter based on the result of the cluster analysis, and changes the power of the transmission device based on the third transmission parameter;
s6: the conveying control end adjusts the first acquisition control parameter and the second dispersion control parameter based on the result of the cluster analysis, and the step S2 is returned;
wherein the transmission power of the transmitting means is different at different cluster groups.
In the above method, the first collection control parameter controls the volume capacity of the ash to be processed collected from the ash stacking plant by the ash collection end each time;
the second dispersion control parameter controls the rotation rate of the dispersion device at the ash dispersion end;
the third transmission control parameter controls a transmission power of the transmitting apparatus.
The step S4 specifically includes:
obtaining a plurality of clustering groups by a K-means clustering method; each cluster group at least comprises one dispersed ash pile, and the weight of the dispersed ash pile in each cluster group is within a preset range.
In a third aspect of the present invention, there is provided a data processing apparatus comprising a controller comprising a processor and a memory, the memory storing a data processing program, the data processing program being executed by the processor for implementing the steps of the aforementioned cluster analysis based control method of an ash conveying system.
In a fourth aspect of the present invention, the present invention also provides a computer apparatus comprising a controller, a memory storing machine readable instructions executable by the controller, the controller being configured to execute the machine readable instructions stored in the memory, when the machine readable instructions are executed by the controller, the machine readable instructions when executed by the controller perform the steps of the aforementioned control method of the cluster analysis based ash conveying system.
In a fifth aspect of the present invention, the present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed, performs the steps of the cluster analysis-based control method of an ash conveying system of the second aspect described above.
Further advantages of the invention will be apparent in the detailed description section in conjunction with the drawings attached hereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an ash conveying system based on cluster analysis according to an embodiment of the present invention;
FIG. 2 is a schematic view of the structural arrangement of the ash collection end of the ash transfer system of FIG. 1;
FIG. 3 is a schematic view of the structural arrangement of the ash dispersing end of the ash conveying system of FIG. 1;
FIG. 4 is a schematic flow diagram of a method for controlling an ash transport system based on cluster analysis in accordance with one embodiment of the present invention;
FIG. 5 is a schematic diagram of a data processing apparatus according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a computer device of one embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Referring to fig. 1, an ash conveying system based on cluster analysis according to an embodiment of the present invention includes an ash collecting end, an ash dispersing end, an ash clustering end, a conveying device, and a conveying control end.
The ash collection end has a first collection parameter, the ash dispersion end has a second dispersion parameter, and the conveyor has a third conveyance parameter.
The first acquisition parameter controls the volume capacity of the ash to be processed acquired by the ash acquisition end from an ash stacking plant each time;
the second dispersion parameter controls the rotation rate of the dispersion device at the ash dispersion end;
the third transmitting device controls the transmission power of the transmitting device.
Under an initial condition, the first acquisition parameter, the second dispersion parameter and the third transmission parameter are initialized, and the initialization can be set according to factory conditions or experience.
In the prior art, once set, the parameters are usually not changed again or are not changed adaptively, and if the parameters are changed, the parameters can be manually set again by a user according to experience.
To this end, as a first improvement of the present invention, in various embodiments of the present invention, the first collecting parameter, the second dispersion parameter, and the third transmission parameter are all dynamically and automatically adjusted by the conveying control end according to the result of each clustering analysis of the ash clustering end.
In one specific embodiment, the ash collecting end collects ash to be treated from an ash stacking plant based on a set volume corresponding to a first collecting parameter and transmits the ash to the ash dispersing end;
the ash slag dispersing end carries out dispersing operation on the ash slag to be treated to obtain a plurality of dispersed ash slag piles;
the ash slag clustering end performs clustering analysis on the dispersed ash slag piles to obtain a plurality of clustering groups;
the conveying control end controls the conveying device to convey the dispersed ash piles corresponding to the plurality of clustering groups, and conveying control parameters of the conveying device are different under different clustering groups.
The conveying control end is communicated with the ash collecting end;
and the conveying control end adjusts the set volume quantity based on the number of the cluster groups and the number of elements contained in each cluster group.
The operation of the embodiment of fig. 1 will be further described with reference to fig. 2-3.
Referring first to the upper part of fig. 2, the ash collection end comprises a collection hopper with a variable volume;
one embodiment of the variable volume bucket is shown in the lower half of figure 2.
The lower part of fig. 2 shows that the collecting funnel comprises a variable volume 1, a funnel cover 2, a through hole 3, a moving pin 4, a side 5 and a bottom 6.
Wherein the volume space 1 can be expanded or contracted based on the pushing or extending and contracting control of the moving bolt 4 passing through the through hole 3.
More specifically, the moving peg 4 performs the pushing or telescoping based on a first acquisition parameter.
The first acquisition parameter is used for adjusting the volume of the acquisition hopper;
the conveying control end is communicated with the ash collecting end;
and the conveying control end adjusts the first acquisition parameter based on the number of the cluster groups and the number of elements contained in each cluster group.
As a preference, if the number of said cluster groups is lower than a first criterion value, said first acquisition parameter is expanded such that said volume 1 is expanded; otherwise, the first acquisition parameter is reduced, so that the volume space 1 is reduced;
as a further preference, if the number of elements included in each cluster group is lower than a second criterion value, the first acquisition parameter is expanded, so that the volume space 1 is expanded; otherwise, the first acquisition parameters are reduced such that the volume 1 is reduced.
Reference is next made to fig. 3.
Referring first to the upper part of fig. 3, the ash dispersion end includes a rotating dispersion device.
Wherein the rotating dispersion device comprises a rotating disk on which a first number of first dispersion holes and a second number of second dispersion holes are arranged.
Preferably, the second number is not less than the first number, and the first dispersion holes have a constant pore size, while the second dispersion holes have an adjustable pore size, but the second dispersion holes each have a pore size smaller than the pore size of the first dispersion holes.
The setting is matched with the characteristic that the dispersing speed of the dispersing device is adjustable, so that a plurality of dispersed ash piles behind the rotary dispersing device can better meet the requirement of subsequent cluster analysis, and the dynamic adjusting times of the conveying control end are reduced.
The lower part of fig. 3 shows a bottom schematic view of the rotating disc. The rotating disc bottom comprises a rotating disc 7, a dispersion disc 8 and a speed control assembly 9. Wherein the dispersion disc 8 comprises a plurality of first and second dispersion holes (not shown in the lower part of fig. 3), and the speed control assembly 9 receives the second dispersion parameters to adjust the rotation rate of the rotating dispersion device.
More specifically, the conveyance control end is in communication with the ash dispersal end;
and the conveying control end adjusts the second dispersion parameter based on the number of elements contained in each cluster group and the number of elements contained in each cluster group.
Preferably, the transmission control end determines the maximum element number of the current group contained in all the current cluster groups;
if the maximum element number of the current grouping is larger than the maximum element number of the previous grouping contained in the previous clustering grouping, reducing the second dispersion parameter;
otherwise, increasing the second dispersion parameter.
Preferably, the transmission control end acquires the current packet number of the current clustering packet;
if the current packet number is larger than the preset packet number, reducing the rotation rate;
otherwise, the rotation rate is increased.
Next, on the basis of fig. 1 to 3, a process of performing a clustering analysis on the dispersed ash pile by the ash clustering end used in the present invention to obtain a plurality of clustering groups will be described in detail.
Structurally, the ash clustering end comprises an image acquisition device and a laser emission device;
the ash slag clustering end obtains the clustering parameters of each dispersed ash slag pile through the image acquisition device and the laser emission device;
more specifically, the ash clustering end obtains the clustering parameters of each dispersed ash pile through the image acquisition device and the laser emission device, and the method comprises the following steps:
the image acquisition device executes video image analysis after shooting images and extracts the contour line of each dispersed ash pile;
laser emission device transmission laser projects the laser line that produces on every dispersion ash sediment heap area face and projects the laser line that does not have dispersion ash sediment heap area face and produce different, has a deformation between the two, and this kind of deformation can reflect the degree of depth information of ash sediment heap, can calculate the weight of every dispersion ash sediment heap according to the degree of depth information of ash sediment heap.
The implementation of the above process can be found in particular in similar prior art, for example:
zengfei, Wuqing, junxiu Min, et al, method for measuring instantaneous flow of materials by laser [ J ]. proceedings of Hunan university, Nature science edition 2015,42(2):40-47.
Zhang Wen Jun, Shuxin, Jianghong, etc. irregular coal yard measuring system design based on laser three-dimensional scanning [ J ] coal science and technology, 2009(05): 111) 114.
CN 201910113692.3-a method for non-contact measurement of material flow on a belt conveyor the above prior art can be part of the solution of the present invention and is incorporated herein in its entirety.
After the weight of each ash pile is obtained, taking the depth information and the weight information as clustering parameters;
obtaining a plurality of clustering groups by a K-means clustering method based on the clustering parameters;
each cluster group at least comprises one dispersed ash pile, and the weight of the dispersed ash pile in each cluster group is within a preset range.
Then, the conveying control end adjusts the third conveying parameter based on the result of the cluster analysis, and controls the conveying device to convey the dispersed ash piles corresponding to the plurality of cluster groups based on the third conveying parameter;
the third transmission parameter is used to adjust a transmission power of the transmitting device.
Preferably, the third transmission parameters of the transmission device are different in different cluster groups, and specifically include:
if the number of elements contained in a certain cluster group is larger than a third standard value, increasing the transmission power when transmitting the dispersed ash pile corresponding to the elements of the cluster group; otherwise, the transmission power is reduced.
It can be seen that, based on the above improvement, the present invention can dynamically adaptively adjust the transmission power of the transmission apparatus.
In the above example of the present invention, the K-means clustering method, also called K-means clustering algorithm (K-means clustering algorithm), is an iterative solution clustering analysis algorithm, and the steps are to divide the data into K groups in advance, randomly select K objects as initial clustering centers, then calculate the distance between each object and each seed clustering center, and assign each object to the nearest clustering center. The cluster centers and the objects assigned to them represent a cluster. The cluster center of a cluster is recalculated for each sample assigned based on the objects existing in the cluster. This process will be repeated until some termination condition is met. The termination condition may be that no (or minimum number) objects are reassigned to different clusters, no (or minimum number) cluster centers are changed again, and the sum of squared errors is locally minimal. In general, k-means clustering is a special case obtained when the covariance of normal distribution is a unit matrix and the posterior distribution of hidden variables is a set of dirac δ functions by using a Gaussian Mixture Model (GMM) solved by a maximum-Expectation algorithm (Expectation-Maximization algorithm).
Preferably, based on the clustering result, the conveying control end generates an intelligent control strategy, namely adaptive speed regulation and multi-stage equipment cooperative control, so that the operating efficiency and the intelligent level of the ash conveying system can be improved, energy is saved, consumption is reduced, and the service life of the equipment is prolonged.
On the basis of fig. 1-3, see fig. 4.
Fig. 4 shows a flow diagram of a control method of an ash conveying system based on cluster analysis according to an embodiment of the present invention, and fig. 2 can be implemented based on the ash conveying system shown in fig. 1, wherein the ash conveying system comprises an ash collecting end, an ash dispersing end, an ash clustering end, a conveying device and a conveying control end, the ash collecting end is provided with a first collecting parameter, the ash dispersing end is provided with a second dispersing parameter, the conveying device is provided with a third conveying parameter, and the first collecting parameter, the second dispersing parameter and the third conveying parameter are all adjusted by the conveying control end.
Specifically, the first acquisition parameter controls the volume capacity of the ash to be processed, which is acquired by the ash acquisition end from an ash stacking plant each time;
the second dispersion parameter controls the rotation rate of the dispersion device at the ash dispersion end;
the third transmission parameter controls a transmission power of the transmitting apparatus.
In fig. 2, the method includes steps S1-S6, and each step is implemented as follows:
s1: initializing the first acquisition parameter, the second dispersion parameter and the third transmission parameter;
s2: the ash collecting end collects ash to be processed from an ash stacking plant based on a first collecting parameter and transmits the ash to the ash dispersing end;
s3: the ash slag dispersing end carries out dispersing operation on the ash slag to be treated based on a second dispersing parameter to obtain a plurality of dispersed ash slag piles;
s4: the ash slag clustering end performs clustering analysis on the dispersed ash slag piles to obtain a plurality of clustering groups;
s5: the transmission control end adjusts the third transmission parameter based on the result of the cluster analysis, and changes the power of the transmission device based on the third transmission parameter;
s6: the conveying control end adjusts the first acquisition control parameter and the second dispersion control parameter based on the result of the cluster analysis, and the step S2 is returned;
wherein the transmission power of the transmitting means is different at different cluster groups.
In step S1, under an initial condition, the first collecting parameter, the second dispersion parameter, and the third transmission parameter are initialized, where the initialization may be set according to a factory condition or may be preset according to experience. Thus, the method further comprises implementing the following:
s11: presetting a first acquisition control parameter, a second dispersion control parameter and a third transmission control parameter;
s12: the ash collecting end collects ash to be processed from an ash stacking plant based on a first collection control parameter and transmits the ash to the ash dispersing end;
s13: the ash slag dispersing end performs dispersing operation on the ash slag to be treated based on a second dispersion control parameter to obtain a plurality of dispersed ash slag piles;
s14: the ash slag clustering end performs clustering analysis on the dispersed ash slag piles to obtain a plurality of clustering groups;
s15: the conveying control end adjusts the third conveying control parameter based on the result of the cluster analysis, and controls the conveying device to convey the dispersed ash piles corresponding to the plurality of cluster groups based on the third conveying control parameter;
s16: and the conveying control end adjusts the first acquisition control parameter and the second dispersion control parameter based on the result of the cluster analysis, and the step S12 is returned.
In the prior art, once set, the parameters are usually not changed again or are not changed adaptively, and if the parameters are changed, the parameters can be manually set again by a user according to experience.
According to the technical scheme, the first acquisition parameter, the second dispersion parameter and the third transmission parameter are all dynamically and automatically adjusted by the conveying control end according to the clustering analysis result of each time of the ash slag clustering end, so that the operation efficiency and the intelligent level of an ash slag conveying system can be improved, the energy is saved, the consumption is reduced, and the service life of equipment is prolonged.
As a further preferred aspect, the step S4 specifically includes:
obtaining a plurality of clustering groups by a K-means clustering method; each cluster group at least comprises one dispersed ash pile, and the weight of the dispersed ash pile in each cluster group is within a preset range.
Fig. 5 shows a data processing device for implementing the method of the present invention, which may be a control device including a controller, and including a processor, a memory and a bus, wherein the memory stores a data processing program, and the data processing program is executed by the processor for implementing the steps of the cluster analysis based control method of the ash conveying system of fig. 2.
Fig. 6 is a schematic structural diagram of a computer device provided in an embodiment of the present disclosure, which includes a controller 910 and a memory 920. The memory 920 stores machine-readable instructions executable by the controller 910, and the controller 910 is configured to execute the machine-readable instructions stored in the memory 920. When the machine readable instructions are executed by the controller 910, the controller 910 performs the aforementioned steps S1-S6 or S11-S16.
The storage 920 includes a memory 921 and an external storage 922; the memory 921 is also referred to as an internal memory, and temporarily stores operation data in the controller 910 and data exchanged with an external memory 922 such as a hard disk, and the controller 910 exchanges data with the external memory 922 through the memory 921.
The computer device provided by the embodiment of the present disclosure may include an intelligent terminal such as a mobile phone, or may also be other devices, servers, and the like that have a camera and can perform image processing, and is not limited herein.
For the specific execution process of the instruction, reference may be made to the steps of the data processing method described in the embodiments of the present disclosure, and details are not described here.
The embodiments of the present disclosure also provide a computer program product, where the computer program product carries a program code, and instructions included in the program code may be used to execute the steps of the data processing method in the foregoing method embodiments, which may be referred to specifically in the foregoing method embodiments, and are not described herein again.
The computer program product may be implemented by hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
Finally, it should be noted that: the above-mentioned embodiments are merely specific embodiments of the present disclosure, which are used for illustrating the technical solutions of the present disclosure and not for limiting the same, and the scope of the present disclosure is not limited thereto, and although the present disclosure is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive of the technical solutions described in the foregoing embodiments or equivalent technical features thereof within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present disclosure, and should be construed as being included therein. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
The present invention is not limited to the specific module structure described in the prior art. The prior art mentioned in the background section can be used as part of the invention to understand the meaning of some technical features or parameters. The scope of the present invention is defined by the claims.
Claims (10)
1. An ash conveying system based on cluster analysis comprises an ash collecting end, an ash dispersing end, an ash clustering end, a conveying device and a conveying control end;
the method is characterized in that:
the ash collecting end collects ash to be processed from an ash stacking plant based on a first collecting parameter and transmits the ash to the ash dispersing end;
the ash slag dispersing end carries out dispersing operation on the ash slag to be treated based on a second dispersing parameter to obtain a plurality of dispersed ash slag piles;
the ash slag clustering end performs clustering analysis on the dispersed ash slag piles to obtain a plurality of clustering groups;
the conveying device conveys the dispersed ash piles corresponding to the plurality of clustering groups based on a third conveying parameter;
and the first acquisition parameter, the second dispersion parameter and the third transmission parameter are dynamically adjusted by the conveying control end based on the result of the cluster analysis.
2. The cluster analysis based ash conveying system of claim 1, wherein:
the ash collecting end comprises a collecting hopper with a variable volume;
the first acquisition parameter is used for adjusting the volume of the acquisition hopper;
the conveying control end is communicated with the ash collecting end;
and the conveying control end adjusts the first acquisition parameter based on the number of the cluster groups and the number of elements contained in each cluster group.
3. The cluster analysis based ash conveying system of claim 1, wherein: the ash dispersing end comprises a rotary dispersing device;
the second dispersion parameter is used for adjusting the rotation rate of the rotating dispersion device;
the conveying control end is communicated with the ash dispersing end;
and the conveying control end adjusts the second dispersion parameter based on the number of elements contained in each cluster group and the number of elements contained in each cluster group.
4. The cluster analysis based ash conveying system of claim 1, wherein:
the ash clustering end comprises an image acquisition device and a laser emission device;
the ash slag clustering end obtains the clustering parameters of each dispersed ash slag pile through the image acquisition device and the laser emission device;
obtaining a plurality of clustering groups by a K-means clustering method based on the clustering parameters;
each cluster group at least comprises one dispersed ash pile, and the weight of the dispersed ash pile in each cluster group is within a preset range.
5. The cluster analysis based ash conveying system according to any one of claims 1 to 4, wherein:
the conveying control end adjusts the third conveying parameter based on the result of the cluster analysis, and controls the conveying device to convey the dispersed ash piles corresponding to the plurality of cluster groups based on the third conveying parameter;
and the third transmission parameters of the transmission means are different under different cluster groups;
the third transmission parameter is used to adjust a transmission power of the transmitting device.
6. The cluster analysis based ash conveying system of claim 3, wherein: the adjusting, by the transportation control end, the second dispersion parameter based on the number of elements included in each cluster group and the number of elements included in each cluster group specifically includes:
the transmission control end determines the maximum element number of the current grouping contained in all the current clustering groupings;
if the maximum element number of the current grouping is larger than the maximum element number of the previous grouping contained in the previous clustering grouping, reducing the second dispersion parameter;
otherwise, increasing the second dispersion parameter.
7. A method for controlling an ash conveying system based on cluster analysis, the ash conveying system comprising an ash collecting end, an ash dispersing end, an ash clustering end, a conveyor and a conveying control end, the ash collecting end having a first collecting parameter, the ash dispersing end having a second dispersing parameter, the conveyor having a third conveying parameter, the first collecting parameter, the second dispersing parameter and the third conveying parameter being adjusted by the conveying control end, the method comprising the steps of:
s1: initializing the first acquisition parameter, the second dispersion parameter and the third transmission parameter;
s2: the ash collecting end collects ash to be processed from an ash stacking plant based on a first collecting parameter and transmits the ash to the ash dispersing end;
s3: the ash slag dispersing end carries out dispersing operation on the ash slag to be treated based on a second dispersing parameter to obtain a plurality of dispersed ash slag piles;
s4: the ash slag clustering end performs clustering analysis on the dispersed ash slag piles to obtain a plurality of clustering groups;
s5: the transmission control end adjusts the third transmission parameter based on the result of the cluster analysis, and changes the power of the transmission device based on the third transmission parameter;
s6: the conveying control end adjusts the first acquisition control parameter and the second dispersion control parameter based on the result of the cluster analysis, and the step S2 is returned;
wherein the transmission power of the transmitting means is different at different cluster groups.
8. The cluster analysis-based control method for the ash conveying system according to claim 7, wherein the cluster analysis-based control method comprises the following steps:
the first acquisition parameter controls the volume capacity of the ash to be processed acquired by the ash acquisition end from an ash stacking plant each time;
the second dispersion parameter controls a rotation rate of a dispersion device of the ash dispersion end.
9. The cluster analysis-based control method for the ash conveying system according to claim 7, wherein the cluster analysis-based control method comprises the following steps:
the step S4 specifically includes:
obtaining a plurality of clustering groups by a K-means clustering method; each cluster group at least comprises one dispersed ash pile, and the weight of the dispersed ash pile in each cluster group is within a preset range.
10. A data processing apparatus comprising a controller comprising a processor and a memory, the memory storing a data processing program, the data processing program being executed by the processor for implementing the steps of the cluster analysis based control method of an ash conveying system according to any one of claims 7-9.
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Denomination of invention: Ash conveying system and control method based on cluster analysis Granted publication date: 20220719 Pledgee: Bank of Jiangsu Co.,Ltd. Yancheng branch Pledgor: JIANGSU BOOTEC ENVIRONMENTAL PROTECTION ENGINEERING CO.,LTD. Registration number: Y2024980017852 |