CN114661101A - Classification type data processing platform based on cloud platform - Google Patents
Classification type data processing platform based on cloud platform Download PDFInfo
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Abstract
The invention discloses a cloud platform-based classification type data processing platform, and particularly relates to the technical field of data processing. According to the invention, through arranging the display assembly, the moving frame, the shielding protection plate, the piston rod, the piston cylinder, the contact plate, the piston plate, the connecting pipe and the case body, the gas in the piston frame is extruded and transferred into the piston cylinder, the piston rod drives the shielding protection plate to rotate forwards, and when the shielding protection plate is contacted with the case body, the electric hydraulic rod is controlled to stop working, so that the storage and automatic protection of the display assembly are completed, the bonding of dust and sundries when the display assembly is not used is avoided, meanwhile, the probability of collision damage when the display assembly is not used is avoided, and simultaneously, after the display assembly is stored, the case body can be used as a new operating platform.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a classified data processing platform based on a cloud platform.
Background
And data processing is a basic link of system engineering and automatic control. Data processing is throughout various fields of social production and social life. The development of data processing technology and the breadth and depth of its application have greatly influenced the progress of human society development.
Data (Data) is a representation of facts, concepts or instructions that can be processed by either manual or automated means. After the data is interpreted and given a certain meaning, it becomes information. Data processing (data processing) is the collection, storage, retrieval, processing, transformation, and transmission of data.
The basic purpose of data processing is to extract and derive valuable, meaningful data for certain people from large, possibly chaotic, unintelligible amounts of data.
And the display module that current data processing platform surface set up, display module is touched and rocks the damage condition probably to appear when need not to use, dust and debris are stayed easily on the display module surface, probably influence the use, and holistic depositing is with the use not convenient enough, the radiating effect in the use relies on the automatic circulation efficiency of air to reduce simultaneously, and data processing platform's data handling directly handles the overall data, the processing procedure is not refined enough, it influences to probably appear the data processing quality, the load of simultaneous processing process is great, influence holistic treatment effeciency easily, consequently, need a categorised data processing platform based on cloud platform to solve above-mentioned problem.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a classified data processing platform based on a cloud platform, and the technical problem to be solved by the invention is as follows: display module that data processing platform surface set up, display module is rocked the damage condition by the touching probably to appear when need not the use, dust and debris are stayed easily to the display module surface, probably influence the use, and holistic depositing is convenient enough with the use, the radiating effect in the use relies on the automatic circulation efficiency of air to reduce simultaneously, and data processing platform's data handling directly handles total data, the processing procedure is not refined enough, data processing quality receives the influence probably to appear, the load of simultaneous processing procedure is great, influence holistic treatment effeciency's problem easily.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a categorised data processing platform based on cloud platform, includes quick-witted box and data acquisition module, the standing groove has been seted up to the upper surface of quick-witted box, the standing groove inner wall and the surface overlap joint that removes the frame, the front that removes the frame is provided with display module, the spread groove has been seted up at the back that removes the frame, the spread groove inner wall is provided with first outlet duct, the surface of first outlet duct is provided with two rotary valves, the surface of rotary valve is provided with the gear, the upper surface of quick-witted box is provided with two and supports the rotation axis, two the opposite face that supports the rotation axis is provided with same guard plate that shelters from.
The utility model discloses a set up the standing groove inner wall, shelter from the back of guard plate and the one end fixed connection of two piston rods, the surface sliding connection of piston rod has a piston cylinder, the surface of piston cylinder and the back fixed connection of quick-witted box, two the opposite face of piston cylinder is provided with same connecting pipe, the other end of connecting pipe is linked together with the surface of piston frame, the connecting pipe joint is at the back of quick-witted box, the lower surface of piston frame and the lower fixed surface of standing groove inner wall are connected, the back of quick-witted box is provided with two fan subassemblies, the left side the surface of fan subassembly is provided with the intervalve, the other end and the first outlet duct of intervalve are linked together, the intervalve joint is at the back of standing groove inner wall, the output of data acquisition module is connected with data filter unit's input electricity.
The output end of the data filtering unit is electrically connected with the input end of the data classification module, the output end of the data classification module is electrically connected with the input end of the cloud computing platform, the cloud computing platform is in two-way connection with the association analysis unit, the cloud computing platform is in two-way connection with the registration login unit, the registration login unit is in two-way connection with the database, and the output end of the cloud computing platform is electrically connected with the input end of the display component.
As a further scheme of the invention: the data filtering unit is used for filtering and separating abnormal data in the acquired data;
the data classification module is used for classifying the related data.
As a further scheme of the invention: the inner wall of the piston frame is connected with the outer surface of the piston plate in a sliding mode, the upper surface of the piston plate is fixedly connected with the bottom ends of the two moving rods, the top ends of the two moving rods are fixedly connected with the lower surface of the same contact plate, and the connecting position of the connecting pipe and the piston frame is located on the lower side of the piston plate.
As a further scheme of the invention: the lower surface of the piston plate is fixedly connected with the top ends of the two elastic assemblies, the bottom ends of the elastic assemblies are fixedly connected with the lower surface of the inner wall of the piston frame, and the front surface of the case body is provided with two control doors.
As a further scheme of the invention: the right side surface of the movable frame is provided with a middle hole, the first air outlet pipe is arranged in the middle hole, and the position of the display assembly corresponds to the position of the middle hole.
As a further scheme of the invention: the lower surface of the movable frame is fixedly connected with the top ends of the two electric hydraulic rods, the bottom ends of the electric hydraulic rods are fixedly connected with the lower surface of the inner wall of the placing groove, the upper surface of the fan assembly is communicated with the bottom end of the second air outlet pipe, the other end of the second air outlet pipe is arranged in the case body, and the second air outlet pipe is arranged on the back face of the case body.
As a further scheme of the invention: the position of sheltering from the guard plate is corresponding with the position of placing the groove, it is corresponding with the size of placing the groove to shelter from the guard plate size, a plurality of louvres have all been seted up to the left and right sides face of machine box body.
As a further scheme of the invention: the data classification module adopts a classification algorithm, and the classification algorithm comprises the following steps:
for each bit of data of the original sample spaceVector proceeds L2Norm normalization processing, and setting vector X ═ X1,x2,…,xn]Of which L2Norm is expressed as
Subjecting X to L2Norm normalization, establishing a norm from X to X '═ X'1,x′2,…x′n]Mapping of (2):
wherein k is [1,2, …, n ═ n]，xkRepresents the original data sample, x'kRepresenting the normalized data sample;
the data is equalized to the data, and the data is equalized to the data,
wherein Xk(k-1, 2, …, n) represents the kth sample after normalization processing of n raw data samples,
represents the mean of the n samples, which is the sample mean, MkRepresenting the averaged data samples;
calculating the weight, calculating a weight for each type of sample, and adding the weight to the corresponding type, wherein the weight calculation method comprises the following steps
Wherein, the vector C is [1,2, …, p ═ p]The class label is represented by a number of labels,
representing the sum of all elements of a class of data, matrix Xc(C e C) represents a subset of samples belonging to class C,
representing the synthesis of all elements, matrix XCRepresenting all class data samples, WcIs the weight of a class of data;
and (3) feature extraction, wherein X is a d X n dimensional matrix, T is a d X d dimensional matrix formed by all principal component vectors, and Y is the projected d X n dimensional matrix
Y＝TX
Wherein n is the dimension of each sample, the row vectors of the projected matrix Y are not related to each other, the first row is the projection vector on the eigenvector corresponding to the largest eigenvalue and is called a first principal component, and the second row is the projection vector on the eigenvector corresponding to the next largest eigenvalue and is called a second principal component;
the process for feature extraction in d-dimensional space is as follows:
the covariance matrix is
Calculating all eigenvalues and eigenvectors of the covariance matrix, selecting the eigenvectors corresponding to the first d 'largest eigenvalues to form a matrix V, wherein the original sample is A, and the matrix B formed by the first d' largest principal components of the sample is
B＝VA
Wherein, A is a dimension d multiplied by n matrix, and V is a dimension d multiplied by d' matrix;
classifying, namely setting an original sample matrix D of c classes, and a matrix E consisting of l projection basis vectors [ E [ ]1,e1,…,el]After the sample point is projected in the L dimensionThe result is F ═ F1,f1,…,fl]And is provided with
F＝ETD
Finding out the optimal projection direction of a matrix E consisting of the basis vectors, and projecting the original data sample in the optimal direction to obtain an effective data classification result;
sample mean of each type of data is
Wherein N iscRepresenting the number of samples of the class c sample subset;
within class scattering matrices of each class are
Within the ensemble a spreading matrix of
The inter-class scatter matrix is
Wherein the content of the first and second substances,
sample mean, N, representing all datacRepresents the total number of samples of all data samples,
discriminant formula
Wherein W is a projection matrix of n-dimensional column vectors, the projection matrix W which maximizes L (W) is obtained as the optimal projection matrix for maximally distinguishing data samples
Wherein n is less than or equal to p-1.
The invention has the beneficial effects that:
1. according to the invention, the display assembly, the moving frame, the shielding protection plate, the piston rod, the piston cylinder, the contact plate, the piston plate, the connecting pipe and the machine box body are arranged, the moving frame and the display assembly are driven by the electric hydraulic rod to move downwards, the moving frame extrudes the piston plate to move downwards through the contact plate, gas in the piston frame is extruded and transferred into the piston cylinder, the shielding protection plate is driven by the piston rod to rotate forwards, after the shielding protection plate is contacted with the machine box body, the electric hydraulic rod is controlled to stop working at the moment, the storage and automatic protection of the display assembly are finished at the moment, the adhesion of dust and sundries when the display assembly is not used is avoided, the probability of collision damage when the display assembly is not used can be avoided, and the machine box body can be used as a new operation platform after the display assembly is stored;
2. according to the invention, by arranging the gear, the rotary valve, the toothed plate, the first air outlet pipe, the fan assembly and the machine box body, when the display assembly moves upwards out of the placing groove, the gear is meshed with the toothed plate to drive the rotary valve to rotate, the rotary valve is opened, the fan assembly blows air to the surface of the display assembly through the first air outlet pipe, so that the heat dissipation of the working process of the display assembly is realized, after the display assembly is accommodated in the placing groove, the gear is meshed with the toothed plate, the gear rotates to drive the rotary valve to close, the first air outlet pipe is closed at the moment, the air blowing and heat dissipation process of the display assembly is finished, and the start and stop of the heat dissipation process are controlled according to whether the display assembly is used or not;
3. according to the invention, the acquired data are classified by adopting the data classification module, the classified data are respectively processed and analyzed, the load in a single processing and analyzing process is reduced, meanwhile, the respective processing can make the processing and analyzing result more accurate, the influence of accuracy caused by centralized processing is reduced, the integral data processing effect is ensured to be more accurate, and the processing efficiency is ensured.
Drawings
FIG. 1 is a schematic perspective view of the present invention;
FIG. 2 is a schematic rear perspective view of the present invention;
FIG. 3 is a schematic diagram of a right-view perspective cross-sectional structure of the present invention;
FIG. 4 is a schematic perspective sectional view of a piston frame according to the present invention;
FIG. 5 is a schematic diagram of the connection structure of the system of the present invention;
in the figure: 1. a case body; 2. a control gate; 3. moving the frame; 4. a display component; 5. a middle hole; 6. supporting a rotating shaft; 7. shielding the protection plate; 8. a piston rod; 9. a piston cylinder; 10. a connecting pipe; 11. a piston frame; 12. a piston plate; 13. a travel bar; 14. a contact plate; 15. an elastic component; 16. a placement groove; 17. an electro-hydraulic lever; 18. connecting grooves; 19. a first air outlet pipe; 20. rotating the valve; 21. a gear; 22. an intermediate pipe; 23. a fan assembly; 24. a second air outlet pipe; 25. a toothed plate; 26. heat dissipation holes; 27. a data acquisition module; 28. a data filtering unit; 29. a data classification module; 30. a cloud computing platform; 31. a correlation analysis unit; 32. a database; 33. and registering a login unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-5, the present invention provides a cloud platform-based classified data processing platform, which comprises a machine box body 1 and a data acquisition module 27, wherein a placement groove 16 is formed on the upper surface of the machine box body 1, the inner wall of the placement groove 16 is overlapped with the outer surface of a movable frame 3, a display component 4 is arranged on the front surface of the movable frame 3, a connection groove 18 is formed on the back surface of the movable frame 3, a first air outlet pipe 19 is arranged on the inner wall of the connection groove 18, two rotary valves 20 are arranged on the outer surface of the first air outlet pipe 19, the rotary valves 20 can control the opening and closing process of the first air outlet pipe 19, when the first air outlet pipe 19 is opened, the air flow of a fan component 23 can be blown to the display component 4, so as to process the working heat of the display component 4, when the first air outlet pipe 19 is closed, the air flow of the fan component 23 is all blown into the machine box body 1, the outer surface of the rotary valve 20 is provided with a gear 21, through the arrangement of the gear 21 and the toothed plate 25, when the moving frame 3 and the display component 4 move upwards, the gear 21 and the toothed plate 25 are meshed to control the rotary valve 20 to rotate and open, so that the display component 4 can smoothly blow and dissipate heat in the use process, when the display component 4 moves downwards and is accommodated, the gear 21 and the toothed plate 25 are meshed to control the rotary shaft to rotate and close, so that the first air outlet pipe 19 is closed, the upper surface of the case body 1 is provided with two supporting rotary shafts 6, through the arrangement of the supporting rotary shafts 6, the shielding protective plate 7 can be ensured to smoothly rotate while the shielding protective plate 7 is supported by the supporting rotary shafts 6, the opposite surfaces of the two supporting rotary shafts 6 are provided with the same shielding protective plate 7, through the arrangement of the shielding protective plate 7, the placing groove 16 can be shielded and protected when the shielding plate 7 rotates to be in contact with the case body 1, the display component 4 is shielded.
The back of the shielding protection plate 7 is fixedly connected with one end of each of the two piston rods 8, the outer surface of each piston rod 8 is connected with a piston cylinder 9 in a sliding mode, through the arrangement of the piston cylinders 9 and the piston rods 8, the piston rods 8 can be controlled smoothly to drive the shielding protection plate 7 to rotate smoothly when the air pressure in the piston cylinders 9 is increased, the outer surface of each piston cylinder 9 is fixedly connected with the back of the machine box body 1, the opposite surfaces of the two piston cylinders 9 are provided with the same connecting pipe 10, through the arrangement of the connecting pipes 10, the connecting pipes 10 achieve communication between the piston cylinders 9 and the piston frames 11, circulation of air in the piston frames 11 and the piston cylinders 9 is facilitated, the other ends of the connecting pipes 10 are communicated with the outer surface of the piston frames 11, the connecting pipes 10 are clamped on the back of the machine box body 1, through the arrangement of the piston frames 11, the piston plates 12 and the moving rods 13, when the moving rods 13 move downwards under pressure, the display assembly 4 is stored downwards at the moment, meanwhile, the gas inside the piston frame 11 is extruded into the piston cylinder 9, so that the air pressure control on the piston cylinder 9 is realized, the lower surface of the piston frame 11 is fixedly connected with the lower surface of the inner wall of the placing groove 16, two fan assemblies 23 are arranged on the back surface of the machine box body 1, the fan assemblies 23 are arranged, when the fan assemblies 23 work, air can be blown through the first air outlet pipe 19 and the second air outlet pipe 24 for heat dissipation, the middle pipe 22 is arranged on the outer surface of the left fan assembly 23, the other end of the middle pipe 22 is communicated with the first air outlet pipe 19, the middle pipe 22 is clamped on the back surface of the inner wall of the placing groove 16, and the output end of the data acquisition module 27 is electrically connected with the input end of the data filtering unit 28.
The output end of the data filtering unit 28 is electrically connected with the input end of the data classifying module 29, the output end of the data classifying module 29 is electrically connected with the input end of the cloud computing platform 30, the cloud computing platform 30 is bidirectionally connected with the association analyzing unit 31, the cloud computing platform 30 is bidirectionally connected with the registration logging unit 33, the registration logging unit 33 is bidirectionally connected with the database 32, and the output end of the cloud computing platform 30 is electrically connected with the input end of the display component 4.
As shown in fig. 5, the data filtering unit 28 is configured to filter and separate abnormal data in the acquired data;
the data classification module 29 is used for classifying the related data.
As shown in fig. 3 and 4, the inner wall of the piston frame 11 is slidably connected to the outer surface of the piston plate 12, the upper surface of the piston plate 12 is fixedly connected to the bottom ends of the two moving rods 13, the top ends of the two moving rods 13 are fixedly connected to the lower surface of the same contact plate 14, and the connecting position of the connecting pipe 10 and the piston frame 11 is located below the piston plate 12.
As shown in fig. 1 and 4, the lower surface of the piston plate 12 is fixedly connected with the top ends of the two elastic assemblies 15, the bottom ends of the elastic assemblies 15 are fixedly connected with the lower surface of the inner wall of the piston frame 11, and after the contact plate 14 is separated from the moving frame 3 by the elastic assemblies 15, the elastic assemblies 15 drive the piston plate 12 to move upwards, so that the gas in the piston cylinder 9 is automatically extracted and enters the piston frame 11, and the two control doors 2 are arranged on the front surface of the case body 1.
As shown in fig. 2, the right side surface of the moving frame 3 is provided with a middle hole 5, the first air outlet pipe 19 is arranged in the middle hole 5, and the position of the display component 4 corresponds to the position of the middle hole 5.
As shown in fig. 2 and 3, the lower surface of the moving frame 3 is fixedly connected with the top ends of the two electric hydraulic rods 17, the bottom ends of the electric hydraulic rods 17 are fixedly connected with the lower surface of the inner wall of the placing groove 16, the upper surface of the fan assembly 23 is communicated with the bottom end of the second air outlet pipe 24, the other end of the second air outlet pipe 24 is arranged in the machine box body 1, and the second air outlet pipe 24 is arranged on the back surface of the machine box body 1.
As shown in fig. 2, the position of the shielding protection plate 7 corresponds to the position of the placing slot 16, the size of the shielding protection plate 7 corresponds to the size of the placing slot 16, and a plurality of heat dissipation holes 26 are formed in both the left and right sides of the cabinet 1.
The data classification module 29 employs a classification algorithm, which includes the following steps:
l each bit data vector of the original sample space2Norm normalization processing, setting vector X ═ X1,x2,…,xn]Of which L2Norm is expressed as
Subjecting X to L2Norm normalization, establishing a norm from X to X' ═ X1′,x′2,…x′n]Mapping of (2):
wherein k is [1,2, …, n ═ n]，xkRepresents the original data sample, x'kRepresenting the normalized data sample;
the data is equalized to the data, and the data is equalized to the data,
wherein Xk(k-1, 2, …, n) represents the kth sample after normalization processing of n raw data samples,
represents the mean of the n samples, which is the sample mean, MkRepresenting the averaged data samples;
calculating the weight, calculating a weight for each type of sample, and adding the weight to the corresponding type, wherein the weight calculation method comprises the following steps
Wherein, the vector C is [1,2, …, p ═ p]The class label is represented by a number of labels,
representing the sum of all elements of a class of data, matrix Xc(C e C) represents a subset of samples belonging to class C,
representing the synthesis of all elements, matrix XCRepresenting all class data samples, WcIs the weight of a class of data;
and (3) feature extraction, wherein X is a d X n dimensional matrix, T is a d X d dimensional matrix formed by all principal component vectors, and Y is the projected d X n dimensional matrix
Y＝TX
Wherein n is the dimension of each sample, the row vectors of the projected matrix Y are not related to each other, the first row is the projection vector on the eigenvector corresponding to the largest eigenvalue and is called a first principal component, and the second row is the projection vector on the eigenvector corresponding to the next largest eigenvalue and is called a second principal component;
the process for feature extraction in d-dimensional space is as follows:
covariance matrix of
Calculating all eigenvalues and eigenvectors of the covariance matrix, selecting the eigenvectors corresponding to the first d 'largest eigenvalues to form a matrix V, wherein the original sample is A, and the matrix B formed by the first d' largest principal components of the sample is
B＝VA
Wherein, A is a dimension d multiplied by n matrix, and V is a dimension d multiplied by d' matrix;
classifying, namely setting an original sample matrix D of c classes, and a matrix E consisting of l projection basis vectors [ E [ ]1,e1,…,el]The result of the sample point after l-dimensional projection is F ═ F1,f1,…,fl]And is provided with
F＝ETD
Finding out the optimal projection direction of a matrix E consisting of the basis vectors, and projecting the original data sample in the optimal direction to obtain an effective data classification result;
sample mean of each type of data is
Wherein N iscRepresenting the number of samples of the class c sample subset;
within class scattering matrices of each class are
Within the ensemble a spreading matrix of
The inter-class scatter matrix is
Wherein the content of the first and second substances,
sample mean, N, representing all datacRepresents the total number of samples of all data samples,
discriminant formula
Wherein W is a projection matrix of n-dimensional column vectors, the projection matrix W which maximizes L (W) is obtained as the optimal projection matrix for maximally distinguishing data samples
Wherein n is less than or equal to p-1.
The working principle of the invention is as follows: when the display module 4 needs to be stored, the electro-hydraulic rod 17 is directly controlled to drive the moving frame 3 to move downwards, the display module 4 moves downwards, after the moving frame 3 is contacted with the contact plate 14, the contact plate 14 moves downwards to drive the piston plate 12 to move downwards, the piston plate 12 extrudes the air in the piston frame 11 into the piston cylinder 9, the piston rod 8 is controlled to move while the air pressure in the piston cylinder 9 is increased, the piston rod 8 moves in the piston cylinder 9 and controls the shielding protective plate 7 to rotate forwards, when the shielding protective plate 7 is contacted with the case body 1, the storage of the display module 4 is completed, the gear 21 moves downwards along with the moving frame 3 and is meshed with the toothed plate 25, the gear 21 drives the rotary valve 20 to rotate and close, when the display module 4 needs to be used, the electro-hydraulic rod 17 drives the moving frame 3 and the display module 4 to move upwards, and when the moving frame 3 is separated from the contact plate 14, elastic component 15 drives piston plate 12 rebound this moment, the inside gas of piston cylinder 9 is extracted simultaneously and is got into in the piston frame 11, simultaneously piston rod 8 is inside backward movement at piston cylinder 9, piston rod 8 drives and shelters from protection plate 7 upset backward, after sheltering from protection plate 7 and rotate to vertical state, remove frame 3 and display module 4 rebound simultaneously, gear 21 rotates and opens with pinion rack 25 meshing control rotary valve 20 simultaneously, fan subassembly 23 blows the air current to display module 4 surface through first outlet duct 19 and dispels the heat, after display module 4 removes to appointed height, control electronic hydraulic stem 17 stop work, can use display module 4 this moment.
In summary, the present invention:
the invention is provided with a display component 4, a movable frame 3, a shielding protection plate 7, a piston rod 8, a piston cylinder 9, a contact plate 14, a piston plate 12, a connecting pipe 10 and a case body 1, when the electro-hydraulic rod 17 drives the moving frame 3 and the display module 4 to move downwards, the moving frame 3 extrudes the piston plate 12 to move downwards through the contact plate 14, the gas in the piston frame 11 is extruded and transferred into the piston cylinder 9, the piston rod 8 drives the shielding protection plate 7 to rotate forwards, when the shielding protection plate 7 is contacted with the case body 1, the electric hydraulic rod 17 is controlled to stop working, the storage and the automatic protection of the display assembly 4 are finished, the adhesion of dust and sundries when the display assembly 4 is not used is avoided, meanwhile, the probability of collision damage when the display assembly 4 is not used can be avoided, and meanwhile, after the display assembly 4 is stored, the case body 1 can be used as a new operating platform.
According to the invention, by arranging the gear 21, the rotary valve 20, the toothed plate 25, the first air outlet pipe 19, the fan assembly 23 and the machine box body 1, when the display assembly 4 moves out of the placing groove 16 upwards, the gear 21 is meshed with the toothed plate 25 to drive the rotary valve 20 to rotate, the rotary valve 20 is opened at the moment, the fan assembly 23 blows air to the surface of the display assembly 4 through the first air outlet pipe 19 to realize heat dissipation of the working process of the display assembly 4, after the display assembly 4 is accommodated in the placing groove 16, the gear 21 is meshed with the toothed plate 25, the gear 21 rotates to drive the rotary valve 20 to close, the first air outlet pipe 19 is closed at the moment, the air blowing and heat dissipation process of the display assembly 4 is finished, and starting and stopping of the heat dissipation process are controlled according to whether the display assembly 4 is used or not.
According to the invention, the acquired data are classified by adopting the data classification module 29, the classified data are respectively processed and analyzed, the load in a single processing and analyzing process is reduced, meanwhile, the respective processing can make the processing and analyzing result more accurate, the influence of accuracy caused by centralized processing is reduced, the integral data processing effect is ensured to be more accurate, and the processing efficiency is ensured.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," "connecting," and "connecting" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be directly connected, and "upper," "lower," "left," and "right" are only used to indicate relative positional relationships, and when the absolute position of the object to be described is changed, the relative positional relationships may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the invention, only the structures related to the disclosed embodiments are referred to, other structures can refer to common designs, and the same embodiment and different embodiments of the invention can be combined with each other without conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.
Claims (8)
1. The utility model provides a categorised formula data processing platform based on cloud platform, includes quick-witted box (1) and data acquisition module (27), its characterized in that: the shielding protection device is characterized in that a placing groove (16) is formed in the upper surface of the machine box body (1), the inner wall of the placing groove (16) is in lap joint with the outer surface of a moving frame (3), a display assembly (4) is arranged on the front surface of the moving frame (3), a connecting groove (18) is formed in the back surface of the moving frame (3), a first air outlet pipe (19) is arranged on the inner wall of the connecting groove (18), two rotary valves (20) are arranged on the outer surface of the first air outlet pipe (19), a gear (21) is arranged on the outer surface of each rotary valve (20), two supporting rotating shafts (6) are arranged on the upper surface of the machine box body (1), and the same shielding protection plate (7) is arranged on the opposite surface of each supporting rotating shaft (6);
the back of the shielding protection plate (7) is fixedly connected with one ends of two piston rods (8), the outer surfaces of the piston rods (8) are connected with piston cylinders (9) in a sliding mode, the outer surfaces of the piston cylinders (9) are fixedly connected with the back of the machine box body (1), the opposite surfaces of the two piston cylinders (9) are provided with the same connecting pipe (10), the other end of the connecting pipe (10) is communicated with the outer surface of a piston frame (11), the connecting pipe (10) is clamped on the back of the machine box body (1), the lower surface of the piston frame (11) is fixedly connected with the lower surface of the inner wall of a placing groove (16), the back of the machine box body (1) is provided with two fan assemblies (23), the left side of the outer surface of each fan assembly (23) is provided with a middle pipe (22), and the other end of each middle pipe (22) is communicated with a first air outlet pipe (19), the middle pipe (22) is clamped on the back of the inner wall of the placing groove (16), and the output end of the data acquisition module (27) is electrically connected with the input end of the data filtering unit (28);
the output of data filter unit (28) is connected with the input electricity of data classification module (29), the output of data classification module (29) is connected with the input electricity of cloud computing platform (30), cloud computing platform (30) and correlation analysis unit (31) both way junction, cloud computing platform (30) and registration login unit (33) both way junction, registration login unit (33) and database (32) both way junction, the output of cloud computing platform (30) is connected with the input electricity of display component (4).
2. The cloud platform-based taxonomic data processing platform of claim 1, wherein: the data filtering unit (28) is used for filtering and separating abnormal data in the acquired data;
the data classification module (29) is used for classifying the related data.
3. The cloud platform-based taxonomic data processing platform of claim 1, wherein: the outer surface sliding connection of piston frame (11) inner wall and piston board (12), the upper surface of piston board (12) and the bottom fixed connection of two carriage release levers (13), two the top of carriage release lever (13) and the lower fixed surface of same contact board (14) are connected, the hookup location of connecting pipe (10) and piston frame (11) is located the downside of piston board (12).
4. The cloud platform-based taxonomic data processing platform of claim 3, wherein: the lower surface of piston board (12) and the top fixed connection of two elastic component (15), the bottom of elastic component (15) and the lower fixed connection of the inner wall of piston frame (11), the front of quick-witted box (1) is provided with two control gates (2).
5. The cloud platform-based taxonomic data processing platform of claim 1, wherein: the right side surface of the movable frame (3) is provided with a middle hole (5), the first air outlet pipe (19) is arranged in the middle hole (5), and the position of the display component (4) corresponds to the position of the middle hole (5).
6. The cloud platform-based taxonomic data processing platform of claim 1, wherein: the lower surface of the movable frame (3) is fixedly connected with the top ends of the two electric hydraulic rods (17), the bottom ends of the electric hydraulic rods (17) are fixedly connected with the lower surface of the inner wall of the placing groove (16), the upper surface of the fan assembly (23) is communicated with the bottom end of the second air outlet pipe (24), the other end of the second air outlet pipe (24) is arranged in the machine box body (1), and the second air outlet pipe (24) is arranged on the back face of the machine box body (1).
7. The cloud platform-based taxonomic data processing platform of claim 1, wherein: the shielding device is characterized in that the shielding protection plate (7) corresponds to the placing groove (16), and a plurality of heat dissipation holes (26) are formed in the left side surface and the right side surface of the case body (1).
8. The cloud platform-based taxonomic data processing platform of claim 2, wherein: the data classification module (29) employs a classification algorithm comprising the steps of:
l each bit data vector of the original sample space2Norm normalization processing, setting vector X ═ X1,x2,…,xn]Of which L2Norm is expressed as
Subjecting X to L2Norm normalization, establishing a norm from X to X' ═ X1′,x′2,…x′n]Mapping of (2):
wherein k is [1,2, …, n]，xkRepresents the original data sample, x'kRepresenting the normalized data sample;
the data is equalized to the data, and the data is equalized to the data,
wherein Xk(k-1, 2, …, n) represents the kth sample after normalization processing of n raw data samples,
represents the mean of the n samples, which is the sample mean, MkRepresenting the averaged data samples;
calculating the weight, calculating a weight for each type of sample, and adding the weight to the corresponding type, wherein the weight calculation method comprises the following steps
Wherein, the vector C is [1,2, …, p ═ p]The class label is represented by a number of labels,
representing the sum of all elements of a class of data, matrix Xc(C e C) represents a subset of samples belonging to class C,
representing the synthesis of all elements, matrix XCRepresenting all class data samples, WcIs the weight of a class of data;
and (3) feature extraction, wherein X is a d X n dimensional matrix, T is a d X d dimensional matrix formed by all principal component vectors, and Y is the projected d X n dimensional matrix
Y＝TX
Wherein n is the dimension of each sample, the row vectors of the projected matrix Y are not related to each other, the first row is the projection vector on the eigenvector corresponding to the largest eigenvalue and is called a first principal component, and the second row is the projection vector on the eigenvector corresponding to the next largest eigenvalue and is called a second principal component;
the process for feature extraction in d-dimensional space is as follows:
the covariance matrix is
Calculating all eigenvalues and eigenvectors of the covariance matrix, selecting the eigenvectors corresponding to the first d 'largest eigenvalues to form a matrix V, wherein the original sample is A, and the matrix B formed by the first d' largest principal components of the sample is
B＝VA
Wherein, A is a dimension d multiplied by n matrix, and V is a dimension d multiplied by d' matrix;
classifying, namely setting an original sample matrix D of c classes, and a matrix E consisting of l projection basis vectors [ E [ ]1,e1,…,el]The result of the sample point after l-dimensional projection is F ═ F1,f1,…,fl]And is provided with
F＝ETD
Finding out the optimal projection direction of a matrix E consisting of the basis vectors, and projecting the original data sample in the optimal direction to obtain an effective data classification result;
sample mean of each type of data is
Wherein N iscRepresenting the number of samples of the class c sample subset;
within class scattering matrices of each class are
Within the ensemble a spreading matrix of
The inter-class scatter matrix is
Wherein, the first and the second end of the pipe are connected with each other,
sample mean, N, representing all datacRepresents the total number of samples of all data samples,
discriminant formula
Wherein W is a projection matrix of n-dimensional column vectors, the projection matrix W which maximizes L (W) is obtained as the optimal projection matrix for maximally distinguishing data samples
Wherein n is less than or equal to p-1.
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