CN115422386A - Method and device for building machine learning data analysis framework information base - Google Patents
Method and device for building machine learning data analysis framework information base Download PDFInfo
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- CN115422386A CN115422386A CN202211202431.7A CN202211202431A CN115422386A CN 115422386 A CN115422386 A CN 115422386A CN 202211202431 A CN202211202431 A CN 202211202431A CN 115422386 A CN115422386 A CN 115422386A
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- 238000007405 data analysis Methods 0.000 title claims abstract description 29
- 238000010801 machine learning Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000012544 monitoring process Methods 0.000 claims abstract description 44
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16M—FRAMES, CASINGS OR BEDS OF ENGINES, MACHINES OR APPARATUS, NOT SPECIFIC TO ENGINES, MACHINES OR APPARATUS PROVIDED FOR ELSEWHERE; STANDS; SUPPORTS
- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon ; Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/04—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand
- F16M11/06—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand allowing pivoting
- F16M11/08—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand allowing pivoting around a vertical axis, e.g. panoramic heads
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
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- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon ; Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/04—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand
- F16M11/06—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand allowing pivoting
- F16M11/10—Means for attachment of apparatus; Means allowing adjustment of the apparatus relatively to the stand allowing pivoting around a horizontal axis
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
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- F16M11/00—Stands or trestles as supports for apparatus or articles placed thereon ; Stands for scientific apparatus such as gravitational force meters
- F16M11/02—Heads
- F16M11/18—Heads with mechanism for moving the apparatus relatively to the stand
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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Abstract
The invention relates to the technical field of data analysis, and discloses a method and a device for building a machine learning data analysis framework information base, which comprise the following steps: s1, acquiring various images and parameter information in the operation of a hydropower station through an information extractor; s2, transmitting the relevant information parameters obtained in the S1 to a data coding processor through a wireless data transmission module, and performing regular coding processing on the obtained relevant information parameters through the data coding processor; and S3, transmitting the information data subjected to the regular coding processing in the S2 to an information memory for storage and use, and constructing an information base required by machine learning. The method and the device for building the machine learning data analysis frame information base have the advantages of facilitating better monitoring in all aspects and ensuring the accuracy of monitoring data.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a method and a device for building a machine learning data analysis framework information base.
Background
At present, the power station has been equipped with auxiliary system such as computer monitoring system and a large amount of on-line monitoring, has gathered magnanimity monitoring data, and in the face of the monitoring information resource of the huge like the sea everywhere of distribution in the station, the user is in the situation that is difficult to obtain mostly: firstly, the requirement of the user on the information is difficult to express clearly, and an effective expression tool is lacked to help the user to express the requirement accurately and clearly. Second, even if one can express one's own needs, it is difficult for one to express them efficiently, organized and visually, for device testing if one presents a large amount of information associated with them without processing, provides suitable test analysis methods and aids.
At present, information base construction based on a robot learning data analysis framework is promoted for improving management and control efficiency, a data acquirer used for collecting data parameters in a construction process is quite inconvenient to use, the universality and the accuracy of data collection are affected, and the construction quality of the information base is affected.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a method and a device for building a machine learning data analysis frame information base, which have the advantages of facilitating better monitoring in all aspects and ensuring the accuracy of monitoring data, and solve the problems that the building of the information base based on a robot learning data analysis frame is popularized in order to improve the management and control efficiency at present, a data acquirer for collecting data parameters is inconvenient to use in the building process, the universality and the accuracy of data collection are influenced, and the building quality of the information base is influenced.
(II) technical scheme
In order to realize better comprehensive monitoring and ensure the accuracy of monitoring data, the invention provides the following technical scheme: a method for building a machine learning data analysis frame information base comprises the following steps:
s1, acquiring various images and parameter information in the operation of a hydropower station through an information extractor;
s2, transmitting the relevant information parameters obtained in the S1 to a data coding processor through a wireless data transmission module, and performing regular coding processing on the obtained relevant information parameters through the data coding processor;
and S3, transmitting the information data subjected to the regular coding processing in the S2 to an information memory for storage and use, and constructing an information base required by machine learning.
Preferably, the images and parameter information obtained in S1 include states of operating equipment and industrial and mining information.
A device for constructing a machine learning data analysis frame information base comprises an information extractor, a wireless data transmission module, a data coding processor and an information memory, wherein the information extractor comprises a video image monitor and a parameter monitoring sensor;
the video image monitoring device comprises a video image monitor, a mounting plate, a U-shaped vertical plate, a rotating motor, a first driven bevel gear, a second driven bevel gear, a double-shaft motor, a rotating rod and a second driving bevel gear, wherein the mounting plate is arranged on the lower side of the video image monitor, the upper end of the mounting plate is fixedly connected with the same transverse plate through a plurality of symmetrically arranged support columns, the lower end of the transverse plate is fixedly provided with the rotating motor, the upper end output shaft of the rotating motor penetrates through the upper end of the transverse plate and is fixedly connected with a supporting plate, the upper end of the supporting plate is fixedly connected with the U-shaped vertical plate, the inner wall of one side, opposite to the U-shaped vertical plate, is rotatably connected to the outer side of the video image monitor through a rotating shaft, one end of the rotating rod penetrates through the U-shaped vertical plate and is fixedly connected with the first driven bevel gear, the two opposite sides of the U-shaped vertical plate are vertically and symmetrically and fixedly connected with two bearing seats, the two connecting rods are rotatably sleeved in the two bearing seats through ball bearings, the lower ends of the two connecting rods are fixedly connected with the first driving bevel gears meshed with the first driven bevel gears, the second driven bevel gears, the upper ends of the connecting rods are fixedly connected with the double-shaft motor, and are fixedly connected with the rotating rods;
the utility model discloses a parameter monitoring sensor, including parameter monitoring sensor, parameter monitoring sensor's lower extreme outside is equipped with places the seat, the upper end of placing the seat is offered the card that is used for joint parameter monitoring sensor and is put the groove, the upper end joint of placing the seat has the U-shaped card clamp plate of crimping in parameter monitoring sensor upper end, there is the locating plate both ends outside homogeneous body coupling of U-shaped card clamp plate, the locating plate with place through chucking mechanism fixed joint between the seat, the lower extreme fixedly connected with connecting block of placing the seat, the last semicircle grip block of lower extreme fixedly connected with of connecting block, the lower extreme of last semicircle grip block passes through bolt fixedly connected with lower semicircle grip block, the both ends outside homogeneous body coupling of last semicircle grip block and lower semicircle grip block has the connecting plate, the screw has been seted up on the surface of connecting plate.
Preferably, screw holes are formed in four corners of the surface of the mounting plate, and the screw holes are connected with fastening bolts through internal threads.
Preferably, the upper end fixedly connected with of diaphragm supports a section of thick bamboo, the lower extreme fixedly connected with of layer board slides and cup joints the rotatory section of thick bamboo outside supporting the section of thick bamboo, two limit ring boards have been cup jointed to the outer wall of a support section of thick bamboo fixedly, the limit ring groove that matches the slip joint with the limit ring board is seted up to the inboard of rotatory section of thick bamboo.
Preferably, the outer side of the U-shaped vertical plate is fixedly connected with a protective shell which is sleeved outside the first driven bevel gear, the first driving bevel gear, the second driven bevel gear, the second driving bevel gear and the double-shaft motor.
Preferably, the upper end of the placing seat is symmetrically and fixedly connected with two T-shaped clamping blocks, and the side wall of the lower end of the positioning plate is provided with a T-shaped clamping groove matched and clamped with the T-shaped clamping blocks.
Preferably, the chucking mechanism includes that many activities are inserted and are established the chucking pole on locating plate surface, place the upper end of seat and set up a plurality of chucking grooves of pegging graft with the chucking pole matching, many the same chucking arm-tie of upper end fixedly connected with of chucking pole, fixedly connected with is a plurality of chucking springs of establishing respectively outside many chucking poles between the lower extreme of chucking arm-tie and the upper end of locating plate.
(III) advantageous effects
Compared with the prior art, the invention provides a method and a device for building a machine learning data analysis frame information base, which have the following beneficial effects:
1. the machine learning data analysis frame information base building method and device are characterized in that an information extractor is arranged, a wireless data transmission module, a data coding processor and an information storage device are arranged, the information extractor collects various images and data parameters in the building of the information base, the obtained data information is transmitted to the data coding processor through the wireless data transmission module to be structured, the structured data information is transmitted to the information storage device to be stored, the information base is built quickly, the information extractor comprises a video image monitor and a parameter monitoring sensor, the video image monitor is used for monitoring the specific work of the equipment state through the image and video states, a supporting plate is driven to rotate through a rotating motor during detection, the relative orientation of the video image monitor can be adjusted, the double-shaft motor drives a second driving bevel gear to rotate through a rotating rod, a connecting rod is driven to synchronously rotate through the meshing action of the second driving bevel gear and a second driven bevel gear, the first driving bevel gear is driven to rotate, the rotating shaft is driven to rotate through the meshing action of the first driving bevel gear and the first driven bevel gear, the relative adjustment of the inclination angle of the video image monitor can be quickly adjusted, and the accurate pitching monitoring of the image can be conveniently monitored.
2. This method and device are built to machine learning data analysis frame information base, carry out real-time supervision to the concrete information parameter of equipment in service through the parameter monitoring sensor who is equipped with, when installing the parameter monitoring sensor, earlier through last semicircle grip block and semicircle grip block cooperation bolt fixed mounting down on the horizontal pole, put parameter monitoring sensor card in the card slot of placing the seat upper end, the matching joint through T-arrangement fixture block and T-arrangement draw-in groove makes the firm crimping of U-arrangement card clamp plate in the upper end of parameter monitoring sensor, many chucking poles are aimed at the chucking groove this moment, chucking spring pull-down chucking arm-tie, chucking arm-tie impels the chucking pole in the chucking groove can realize the firm spacing to U-arrangement card clamp plate, can realize the quick dismouting to parameter monitoring sensor, convenient to monitor and use.
Drawings
FIG. 1 is a schematic flow diagram of a method for building a machine learning data analysis framework information base according to the present invention;
FIG. 2 is a schematic structural diagram of a video image monitor of a device for building a machine learning data analysis framework information base according to the present invention;
FIG. 3 is a schematic structural diagram of a parameter monitoring sensor of the device for building a machine learning data analysis frame information base according to the present invention;
fig. 4 is an enlarged view of a portion a in fig. 3.
In the figure: 1. an information extractor; 2. a wireless data transmission module; 3. a data encoding processor; 4. an information storage; 5. a video image monitor; 6. a parameter monitoring sensor; 7. mounting a plate; 8. a support pillar; 9. a transverse plate; 10. a rotating electric machine; 11. a support plate; 12. a U-shaped vertical plate; 13. a rotating shaft; 14. a first driven bevel gear; 15. a bearing seat; 16. a connecting rod; 17. a first drive bevel gear; 18. a second driven bevel gear; 19. a double-shaft motor; 20. a rotating rod; 21. a second drive bevel gear; 22. a placing seat; 23. clamping the groove; 24. a U-shaped clamping plate; 25. positioning a plate; 26. connecting blocks; 27. an upper semicircular clamping plate; 28. a lower semicircular clamping plate; 29. a connecting plate; 30. a T-shaped fixture block; 31. a T-shaped slot; 32. a clamping rod; 33. a clamping groove; 34. clamping the pulling plate; 35. the spring is clamped.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all 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.
Referring to fig. 1-4, a method for building a machine learning data analysis frame information base includes the following steps:
s1, acquiring various images and parameter information in the operation of a hydropower station through an information extractor 1;
s2, transmitting the relevant information parameters acquired in the S1 to a data encoding processor 3 through a wireless data transmission module 2, and performing structured encoding processing on the acquired relevant information parameters through the data encoding processor 3;
and S3, transmitting the information data subjected to the regular coding processing in the S2 to an information memory 4 for storage and use, and constructing an information base required by machine learning.
The images and parameter information obtained in the step S1 comprise the state of operating equipment and industrial and mining information.
A device for building a machine learning data analysis framework information base comprises an information extractor 1, a wireless data transmission module 2, a data coding processor 3 and an information memory 4, wherein the information extractor 1 comprises a video image monitor 5 and a parameter monitoring sensor 6;
a mounting plate 7 is arranged on the lower side of the video image monitor 5, the upper end of the mounting plate 7 is fixedly connected with the same transverse plate 9 through a plurality of symmetrically arranged support columns 8, the lower end of the transverse plate 9 is fixedly provided with a rotating motor 10, the upper end output shaft of the rotating motor 10 penetrates through the upper end of the transverse plate 9 and is fixedly connected with a supporting plate 11, the upper end of the supporting plate 11 is fixedly connected with a U-shaped vertical plate 12, the inner wall of one opposite side of the U-shaped vertical plate 12 is rotatably connected to the outer side of the video image monitor 5 through a rotating shaft 13, one end of the rotating shaft 13 penetrates out of the U-shaped vertical plate 12 and is fixedly connected with a first driven bevel gear 14, two opposite sides of the U-shaped vertical plate 12 are fixedly connected with two bearing seats 15 in an up-and-down symmetrical mode, the same connecting rod 16 is rotatably sleeved in the two bearing seats 15 through a ball bearing, the lower end of the connecting rod 16 is fixedly connected with a first driving bevel gear 17 meshed with the first driven bevel gear 14, the upper end of the connecting rod 16 is fixedly connected with a second driven bevel gear 18, the upper end of the U-shaped vertical plate 12 is fixedly connected with a double shaft motor 19, the two output shafts of the double-shaft motor 19 are fixedly connected with rotating rod 20, one end of the two output shafts of the two ends of the U-shaped vertical plate 12 are fixedly connected with second driving bevel gear 21, one end fixedly connected with the second driven bevel gear 21 meshed with the second driven bevel gear 18;
the lower extreme outside of parameter monitoring sensor 6 is equipped with places seat 22, place the upper end of seat 22 and offer the card that is used for joint parameter monitoring sensor 6 and put groove 23, the upper end joint of placing seat 22 has the U-shaped card clamp plate 24 of crimping in parameter monitoring sensor 6 upper end, there is locating plate 25 homogeneous connection in the both ends outside of U-shaped card clamp plate 24, locating plate 25 with place and pass through chucking mechanism fixed joint between the seat 22, the lower extreme fixedly connected with connecting block 26 of placing seat 22, the lower extreme fixedly connected with last semicircle grip block 27 of connecting block 26, the lower extreme of last semicircle grip block 27 passes through bolt fixedly connected with lower semicircle grip block 28, the equal integrated connection in both ends outside of last semicircle grip block 27 and lower semicircle grip block 28 has connecting plate 29, the screw has been seted up on the surface of connecting plate 29.
Screw holes are formed in four corners of the surface of the mounting plate 7, and the screw holes are connected with fastening bolts through threads.
The upper end fixedly connected with of diaphragm 9 supports a section of thick bamboo, and the lower extreme fixedly connected with of layer board 11 slides and cup joints the rotatory section of thick bamboo outside supporting a section of thick bamboo, and two spacing ring boards have been cup jointed fixedly to the outer wall of a support section of thick bamboo, and the inboard of a rotatory section of thick bamboo is seted up and is slided the spacing annular that connects with the spacing ring board matching.
The outer side of the U-shaped vertical plate 12 is fixedly connected with a protective shell which covers the first driven bevel gear 14, the first driving bevel gear 17, the second driven bevel gear 18, the second driving bevel gear 21 and the double-shaft motor 19.
Two T-shaped clamping blocks 30 are symmetrically and fixedly connected to the upper end of the placing seat 22, and a T-shaped clamping groove 31 matched and clamped with the T-shaped clamping block 30 is formed in the side wall of the lower end of the positioning plate 25.
The clamping mechanism comprises a plurality of clamping rods 32 movably inserted into the surface of the positioning plate 25, a plurality of clamping grooves 33 matched and inserted with the clamping rods 32 are formed in the upper end of the placing seat 22, the upper ends of the clamping rods 32 are fixedly connected with the same clamping pull plate 34, and a plurality of clamping springs 35 respectively sleeved outside the clamping rods 32 are fixedly connected between the lower end of the clamping pull plate 34 and the upper end of the positioning plate 25.
In summary, according to the method and the device for building the machine learning data analysis frame information base, the information extractor 1 collects various images and data parameters in the building of the information base through the information extractor 1, the wireless data transmission module 2, the data encoding processor 3 and the information memory 4, the acquired data information is transmitted to the data encoding processor 3 through the wireless data transmission module 2 for normalization processing, the normalized data information is transmitted to the information memory 4 for storage, the rapid building of the information base is completed, the information extractor 1 comprises the video image monitor 5 and the parameter monitoring sensor 6, the video image monitor 5 is used for monitoring the specific work of the equipment state through the image and video states, the supporting plate 11 is driven to rotate through the rotating motor 10 during detection, and the relative orientation of the video image monitor 5 can be adjusted, the double-shaft motor 19 drives the second driving bevel gear 21 to rotate through the rotating rod 20, drives the connecting rod 16 to synchronously rotate through the meshing action of the second driving bevel gear 21 and the second driven bevel gear 18, further drives the first driving bevel gear 17 to rotate, drives the rotating shaft 13 to rotate through the meshing action of the first driving bevel gear 17 and the first driven bevel gear 14, further can quickly adjust the relative elevation and depression inclination angle of the video image monitor 5, can realize quick adjustment of the relative position of the video image monitor 5, is convenient for better monitoring in all aspects, ensures the accuracy of monitoring data, monitors specific information parameters in the working process of the equipment in real time through the arranged parameter monitoring sensor 6, and is fixedly arranged on the cross rod through the matching bolts of the upper semicircular clamping plate 27 and the lower semicircular clamping plate 28 when the parameter monitoring sensor 6 is arranged, put parameter monitoring sensor 6 card again in the card of placing seat 22 upper end and put groove 23, the matching joint through T-shaped fixture block 30 and T-shaped fixture block 31 makes the firm crimping of U-shaped clamping plate 24 in parameter monitoring sensor 6's upper end, many chucking poles 32 aim at chucking groove 33 this moment, chucking arm-tie 34 is drawn down to chucking spring 35, chucking arm-tie 34 can realize in advancing chucking pole 32 into chucking groove 33 that the U-shaped clamping plate 24 is firm spacing, can realize the quick assembly disassembly to parameter monitoring sensor 6, the monitoring of being convenient for is used.
It is to be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A machine learning data analysis frame information base building method is characterized in that: the method comprises the following steps:
s1, acquiring various images and parameter information in the operation of a hydropower station through an information extractor (1);
s2, transmitting the relevant information parameters acquired in the S1 to a data encoding processor (3) through a wireless data transmission module (2), and performing structured encoding processing on the acquired relevant information parameters through the data encoding processor (3);
and S3, transmitting the information data subjected to the regular coding processing in the S2 to an information memory (4) for storage and use, and constructing an information base required by machine learning.
2. The machine learning data analysis framework information base building method and device according to claim 1, wherein the method comprises the following steps: and the images and the parameter information acquired in the S1 comprise the state of operating equipment and the industrial and mining information.
3. A machine learning data analysis framework information base building device based on any one of claims 1-2, comprising an information extractor (1), a wireless data transmission module (2), a data coding processor (3) and an information memory (4), and is characterized in that: the information extractor (1) comprises a video image monitor (5) and a parameter monitoring sensor (6);
a mounting plate (7) is arranged on the lower side of the video image monitor (5), the upper end of the mounting plate (7) is fixedly connected with the same transverse plate (9) through a plurality of support columns (8) which are symmetrically arranged, the lower end of the transverse plate (9) is fixedly provided with a rotating motor (10), an upper output shaft of the rotating motor (10) penetrates through the upper end of the transverse plate (9) and is fixedly connected with a supporting plate (11), the upper end of the supporting plate (11) is fixedly connected with a U-shaped vertical plate (12), the inner wall of one side, opposite to the U-shaped vertical plate (12), is rotatably connected to the outer side of the video image monitor (5) through a rotating shaft (13), one end of the rotating shaft (13) penetrates through the U-shaped vertical plate (12) and is fixedly connected with a first driven bevel gear (14), two bearing seats (15) are vertically and symmetrically fixedly connected on the two opposite sides of the U-shaped vertical plate (12), a connecting rod (16) is rotatably sleeved in the two bearing seats (15) through a ball bearing, the lower end of the first driving bevel gear (17) meshed with the first driven bevel gear (14), the upper end of a second driving bevel gear (18) is fixedly connected with a second output shaft (19), and two output shafts (19) of the rotating shaft (19) are fixedly connected with two rotating shaft (12), one end of the rotating rod (20) is fixedly connected with a second driving bevel gear (21) meshed with a second driven bevel gear (18);
a placing seat (22) is arranged on the outer side of the lower end of the parameter monitoring sensor (6), a clamping groove (23) for clamping the parameter monitoring sensor (6) is formed in the upper end of the placing seat (22), a U-shaped clamping plate (24) which is pressed on the upper end of the parameter monitoring sensor (6) is clamped on the upper end of the placing seat (22), positioning plates (25) are integrally connected to the outer sides of the two ends of the U-shaped clamping plate (24), and the positioning plates (25) and the placing seat (22) are fixedly clamped through a clamping mechanism, place lower extreme fixedly connected with connecting block (26) of seat (22), semicircle grip block (27) are gone up to the lower extreme fixedly connected with of connecting block (26), the lower extreme of going up semicircle grip block (27) passes through bolt fixedly connected with lower semicircle grip block (28), the equal body coupling in both ends outside of last semicircle grip block (27) and lower semicircle grip block (28) has connecting plate (29), the screw has been seted up on the surface of connecting plate (29).
4. The machine learning data analysis framework information base building device according to claim 3, characterized in that: screw holes are formed in four corners of the surface of the mounting plate (7), and the screw holes are connected with fastening bolts through internal threads.
5. The machine learning data analysis framework information base building device according to claim 3, characterized in that: the upper end fixedly connected with of diaphragm (9) supports a section of thick bamboo, the lower extreme fixedly connected with of layer board (11) slides and cup joints the rotatory section of thick bamboo outside supporting a section of thick bamboo, the outer wall of supporting a section of thick bamboo is fixed to have cup jointed two spacing ring boards, the spacing annular that matches the sliding connection with the spacing ring board is seted up to the inboard of rotatory section of thick bamboo.
6. The machine learning data analysis framework information base building device according to claim 3, characterized in that: the outer side of the U-shaped vertical plate (12) is fixedly connected with a protective shell which is sleeved outside the first driven bevel gear (14), the first driving bevel gear (17), the second driven bevel gear (18), the second driving bevel gear (21) and the double-shaft motor (19).
7. The machine learning data analysis framework information base building device according to claim 3, characterized in that: the upper end of the placing seat (22) is symmetrically and fixedly connected with two T-shaped clamping blocks (30), and the side wall of the lower end of the positioning plate (25) is provided with a T-shaped clamping groove (31) matched and clamped with the T-shaped clamping blocks (30).
8. The machine learning data analysis framework information base building device according to claim 3, characterized in that: chucking mechanism includes that many activities are inserted and establish chucking pole (32) on locating plate (25) surface, place the upper end of seat (22) and set up a plurality of chucking grooves (33) of pegging graft with chucking pole (32) matching, many the same chucking arm-tie (34) of upper end fixedly connected with of chucking pole (32), fixedly connected with is a plurality of chucking springs (35) of establishing respectively outside many chucking poles (32) established between the lower extreme of chucking arm-tie (34) and the upper end of locating plate (25).
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