CN113515182B - Big data genetic algorithm data modeling processing device - Google Patents
Big data genetic algorithm data modeling processing device Download PDFInfo
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- CN113515182B CN113515182B CN202110834003.5A CN202110834003A CN113515182B CN 113515182 B CN113515182 B CN 113515182B CN 202110834003 A CN202110834003 A CN 202110834003A CN 113515182 B CN113515182 B CN 113515182B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/18—Packaging or power distribution
- G06F1/183—Internal mounting support structures, e.g. for printed circuit boards, internal connecting means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
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- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
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Abstract
The invention discloses a big data genetic algorithm data modeling processing device which comprises a modeling processor body and a big database, wherein the inner wall of the modeling processor body is provided with a mounting groove, a data processing center is fixed on the inner wall of the mounting groove, a connector is fixed on the side wall of the modeling processor body, the data processing center is communicated with the connector through a transmission line, a plurality of modeling chips are fixed at the inner bottom of the mounting groove, a plurality of receivers are arranged at the upper end of the modeling processor body, a plurality of indicator lamps are fixed at the upper end of the modeling processor body, and the plurality of modeling chips correspond to the plurality of receivers one to one. Has the advantages that: by arranging the multiple modeling chips and the receivers, the simultaneous modeling of multiple genetic algorithm data can be realized, the data modeling efficiency can be higher, meanwhile, the receivers can be used for comparing different genetic algorithm data modeling processes, and the optimal genetic algorithm data can be conveniently inquired.
Description
Technical Field
The invention relates to the technical field of data modeling processing, in particular to a big data genetic algorithm data modeling processing device.
Background
The genetic algorithm is designed and proposed according to the evolution rule of organisms in the nature, is a calculation model for simulating the natural selection of Darwin biological evolution theory and the biological evolution process of the genetic mechanism, is a method for searching an optimal solution by simulating the natural evolution process, converts the solving process of a problem into the processes of crossing, variation and the like of chromosome genes in similar biological evolution by using computer simulation operation in a mathematical mode, and is widely applied to the fields of combination optimization, machine learning, signal processing, self-adaptive control, artificial life and the like by people;
traditional genetic algorithm data modeling processing apparatus, it is data alone to go on mostly, lack obvious comparison for the contrast to a plurality of genetic algorithm data modeling is comparatively troublesome, and genetic algorithm data modeling is directly put the desktop upper end in addition, receives when the outside bumps, can make stability relatively poor, can cause the influence to the modeling, for this reason, we have provided a stability better, the big data genetic algorithm data modeling processing apparatus of convenient contrast.
Disclosure of Invention
The invention aims to solve the problems of poor stability and inconvenience in comparison in the prior art, and provides a big data genetic algorithm data modeling processing device.
In order to achieve the purpose, the invention adopts the following technical scheme: a big data genetic algorithm data modeling processing device comprises a modeling processor body and a big database, wherein a mounting groove is formed in the inner wall of the modeling processor body, a data processing center is fixed on the inner wall of the mounting groove, a connector is fixed on the side wall of the modeling processor body, the data processing center is communicated with the connector through a transmission line, a plurality of modeling chips are fixed at the inner bottom of the mounting groove, a plurality of receivers are arranged at the upper end of the modeling processor body, a plurality of indicator lamps are fixed at the upper end of the modeling processor body, the modeling chips correspond to the receivers one to one, the indicator lamps correspond to the modeling chips one to one, a plurality of suckers are fixed at the bottom of the modeling processor body, two groups of symmetrically arranged adsorption devices are arranged in the modeling processor body, and a plurality of sealing devices are arranged in the modeling processor body, the sealing devices correspond to the suckers one by one.
In the big data genetic algorithm data modeling processing device, the adsorption device comprises two sliding cavities arranged inside the modeling processor body, the inner walls of the two sliding cavities are connected with sealing sliding plates in a sealing and sliding mode, the two sealing sliding plates are connected with the inner walls of the corresponding sliding cavities through reset springs, and the side wall of the modeling processor body is connected with a pull rod in a penetrating and sliding mode.
In the big data genetic algorithm data modeling processing device, the end of the pull rod penetrates through one of the sliding cavities and extends into the other sliding cavity, the pull rod and the two sealing sliding plates are connected in a penetrating and sliding mode, two annular baffles are fixed to the circumferential side wall of the pull rod, and the two annular baffles abut against the two sealing sliding plates respectively.
In foretell big data genetic algorithm data modeling processing apparatus, two the interior bottom of sliding chamber all sets up the air inlet duct and the play gas tank with the outside intercommunication of modeling processor body, the inside of air inlet duct and play gas tank all is provided with the check valve, the on-state of the check valve of the inside setting of air inlet duct is outside to the sliding chamber of modeling processor body, the on-state of the check valve that goes out the inside setting of gas tank is inside to the outside of modeling processor body for the sliding chamber, the air inlet duct is located inside the sucking disc, go out the outside that the gas tank is located the sucking disc, the sliding chamber is the rectangle chamber.
In the big data genetic algorithm data modeling processing device, the sealing device comprises a vertical groove arranged at the bottom of the modeling processor body, a through groove communicated with the inside of the sucker is formed in the inner wall of the vertical groove, a sealing stop block is connected to the inner wall of the vertical groove in a sealing and sliding mode, the sealing stop block is in sealing and abutting contact with the through groove, and a trapezoidal groove is formed in the side wall of the sealing stop block.
In the big data genetic algorithm data modeling processing device, a horizontal groove communicated with the inside of the vertical groove is formed in the side wall of the sliding cavity, the horizontal groove corresponds to the trapezoidal groove, a fixing plate is fixed on the side wall of the annular baffle plate, the fixing plate corresponds to the horizontal groove, and a connecting plate is fixed at the end parts of the two pull rods together.
In the big data genetic algorithm data modeling processing device, the big database is in bidirectional electrical connection with the data collector, the data collector is a connector, the data collector is in bidirectional electrical connection with the processing center, the processing center is a data processing center, and the processing center is electrically connected with the modeling modules.
In the big data genetic algorithm data modeling processing device, the modeling module includes a modeling chip electrically connected to the processing center in a one-way manner, the modeling chip is electrically connected to the indicator lamp in a two-way manner, the modeling chip is electrically connected to the receiver in a one-way manner, the modeling chip is electrically connected to the information storage in a one-way manner, and the information storage is electrically connected to the processing center in a one-way manner.
Compared with the prior art, the invention has the advantages that:
1. in the invention, the pumping of the gas in the sucker can be realized through the sealing sliding plate which can be pumped, so that the close fit between the modeling processor and the desktop can be realized, the stability of the modeling processor in the operation process can be ensured, the accuracy of data modeling processing is ensured, and the accuracy of genetic algorithm data modeling can be higher;
2. according to the invention, the sealing of the through groove can be realized by arranging the sealing stop block, and in the process that the fixing plate pushes the sealing stop block to move, the sealing stop block can move upwards along the vertical groove, so that the sealing stop block is gradually separated from the through groove, the communication between the inside and the outside of the sucking disc can be quickly realized, and the sucking disc and the desktop can be more conveniently separated, so that the modeling processor can be stably installed at different positions, and the applicability is stronger;
3. according to the invention, by arranging a plurality of modeling chips and receivers, simultaneous modeling of a plurality of genetic algorithm data can be realized, so that the data modeling efficiency is higher, and meanwhile, the receivers can be used for comparing different genetic algorithm data modeling processes, so that the optimal genetic algorithm data can be conveniently inquired;
4. according to the invention, through arranging the indicator lamp corresponding to the modeling chip, the red light can be turned on by the indicator lamp when an accident occurs in the modeling process, the observation can be facilitated, the operations such as modification and the like can be quickly carried out, the modeling chip can be ensured to be quickly adjusted, and the normal operation of modeling can be quickly ensured.
Drawings
FIG. 1 is a schematic structural diagram of a big data genetic algorithm data modeling processing device according to the present invention;
FIG. 2 is a front view of a big data genetic algorithm data modeling processing device according to the present invention;
FIG. 3 is a top view of a big data genetic algorithm data modeling processing device according to the present invention;
FIG. 4 is an enlarged view of portion A of FIG. 1;
FIG. 5 is a system block diagram of a big data genetic algorithm data modeling processing device according to the present invention;
FIG. 6 is a system block diagram of a modeling module part in a big data genetic algorithm data modeling processing device according to the present invention.
In the figure: the device comprises a modeling processor body 1, a mounting groove 2, a data processing center 3, a connector 4, a transmission line 5, a modeling chip 6, a receiver 7, an indicator light 8, a sucking disc 9, a sliding cavity 10, a sealing sliding plate 11, a pull rod 12, a return spring 13, a ring baffle 14, an air inlet groove 15, an air outlet groove 16, a vertical groove 17, a through groove 18, a sealing stop block 19, a trapezoidal groove 20, a horizontal groove 21, a fixing plate 22 and a connecting plate 23.
Detailed Description
The following examples are for illustrative purposes only and are not intended to limit the scope of the present invention.
Examples
Referring to fig. 1-6, a big data genetic algorithm data modeling processing device comprises a modeling processor body 1 and a big database, wherein an installation groove 2 is formed in the inner wall of the modeling processor body 1, a data processing center 3 is fixed on the inner wall of the installation groove 2, a connector 4 is fixed on the side wall of the modeling processor body 1, the data processing center 3 is communicated with the connector 4 through a transmission line 5, a plurality of modeling chips 6 are fixed at the inner bottom of the installation groove 2, a plurality of receivers 7 are arranged at the upper end of the modeling processor body 1, a plurality of indicator lamps 8 are fixed at the upper end of the modeling processor body 1, the plurality of modeling chips 6 are in one-to-one correspondence with the plurality of receivers 7, the plurality of indicator lamps 8 are in one-to-one correspondence with the plurality of modeling chips 6, a plurality of suckers 9 are fixed at the bottom of the modeling processor body 1, two sets of symmetrically arranged adsorption devices are arranged inside the modeling processor body 1, the modeling processor body 1 is provided with a plurality of sealing devices inside, and the plurality of sealing devices and the plurality of suckers 9 correspond to each other one by one.
The adsorption device comprises two sliding cavities 10 arranged in the modeling processor body 1, the inner walls of the two sliding cavities 10 are hermetically and slidably connected with sealing sliding plates 11, the two sealing sliding plates 11 are connected with the inner walls of the corresponding sliding cavities 10 through return springs 13, and the side wall of the modeling processor body 1 is connected with a pull rod 12 in a penetrating and sliding manner; the end part of the pull rod 12 penetrates through one sliding cavity 10 and extends into the other sliding cavity 10, the pull rod 12 and the two sealing sliding plates 11 are connected in a penetrating and sliding mode, two annular baffles 14 are fixed on the circumferential side wall of the pull rod 12, and the two annular baffles 14 are respectively abutted to the two sealing sliding plates 11; the air inlet duct 15 and the air outlet duct 16 that communicate with the outside of the processor body 1 that models are all seted up to the interior bottom in two slip chambeies 10, air inlet duct 15 all is provided with the check valve with the inside of air outlet duct 16, the on-state of the check valve of the inside setting of air inlet duct 15 is outside to slip chamber 10 inside for the processor body 1 that models, the on-state of the check valve of the inside setting of air outlet duct 16 is inside to the processor body 1 that models for the slip chamber 10, air inlet duct 15 is located inside sucking disc 9, air outlet duct 16 is located the outside of sucking disc 9, slip chamber 10 is the rectangle chamber.
The sealing device comprises a vertical groove 17 arranged at the bottom of the modeling processor body 1, a through groove 18 communicated with the inside of the sucker 9 is formed in the inner wall of the vertical groove 17, a sealing stop block 19 is connected to the inner wall of the vertical groove 17 in a sealing and sliding manner, the sealing stop block 19 is in sealing and abutting contact with the through groove 18, and a trapezoidal groove 20 is formed in the side wall of the sealing stop block 19; the side wall of the sliding cavity 10 is provided with a horizontal groove 21 communicated with the inside of the vertical groove 17, the horizontal groove 21 corresponds to the trapezoidal groove 20, the side wall of the annular baffle plate 14 is fixed with a fixing plate 22, the fixing plate 22 corresponds to the horizontal groove 21, and the end parts of the two pull rods 12 are jointly fixed with a connecting plate 23.
The big database is in bidirectional electric connection with a data collector, the data collector is a connector 4, the data collector is in bidirectional electric connection with a processing center, the processing center is a data processing center 3, and the processing center is electrically connected with the modeling modules; the modeling module comprises a modeling chip 6 which is in one-way electric connection with the processing center, the modeling chip 6 is in two-way electric connection with the indicator light 8, the modeling chip 6 is in one-way electric connection with the receiver 7, the modeling chip 6 is in one-way electric connection with the information storage, and the information storage is in one-way electric connection with the processing center.
In the invention, in the process of modeling genetic algorithm data, a connector 4 is required to be communicated with a large database, a transmission line 5 is used for transmitting a plurality of genetic algorithm data in the large database, so that the data can reach the inside of a data processing center 3, the data processing center 3 is used for processing and transporting the plurality of data, different data can be transmitted to the inside of different modeling chips 6, modeling of a plurality of data can be carried out simultaneously, and the efficiency of modeling research can be effectively improved;
in the operation process of the modeling chip 6, modeling data can be transmitted to the receiver 7 through the encoder, the control of genetic algorithm data modeling is facilitated, when an accident occurs in the modeling process, the modeling chip 6 can act on the indicator light 8 to enable the indicator light 8 to light red light, the detection of modeling through errors is facilitated, and modification can be rapidly performed, so that the normal operation of modeling can be rapidly ensured, after the modeling inside the modeling core piece 6 is completed, the indicator light 8 lights green light through the modeling chip 6, the detection of the completion of modeling is facilitated, the use of the modeling processor body 1 can be facilitated, and meanwhile, in the operation process of the modeling chip 6, the modeling data can be stored, and the uploading of subsequent data is facilitated;
the modeling chips 6, the receivers 7 and the indicator lamps 8 are arranged correspondingly, so that the simultaneous modeling of multiple genetic algorithm data can be realized, the data modeling efficiency is higher, meanwhile, the receivers 7 can be used for comparing different genetic algorithm data modeling processes, the comparison of the modeling processor body 1 is more obvious, and the use is more convenient;
before the modeling processor body 1 is used, the modeling processor body 1 needs to be placed at the upper end of a desktop, so that a sucker 9 at the bottom of the modeling processor body 1 is in contact with the desktop, then the connecting plate 23 is pulled to drive the two pull rods 12 to move simultaneously, in the moving process of the pull rods 12, the sealing sliding plate 11 is driven to slide under the action of the annular baffle plate 14, so that the right space of the sealing sliding plate 11 is reduced, further, gas in the sliding cavity 10 is discharged along the gas outlet groove 16, meanwhile, the return spring 13 is gradually shortened, after the connecting plate 23 is moved to a certain position, the connecting plate 23 is released, so that the sealing sliding plate 11 can return to the original position under the action of the return spring 13 in a compression state, so that air in the sucker 9 can be sucked into the sliding cavity 10, and the gas in the sucker 9 can be sucked out, the internal pressure intensity of the sucker 9 is reduced, and the adhesion between the sucker 9 and the desktop can be realized by utilizing the internal and external pressure intensity difference of the sucker 9;
the connecting plate 23 is pulled and loosened in a reciprocating manner, most of the gas in the sucker 9 can be pumped out, the sucker 9 can be tightly attached to the desktop, the stability of the modeling processor body 1 in the operation process can be guaranteed, modeling data are more accurate, errors are smaller, after the modeling processor body 1 is used, the connecting plate 23 needs to be pushed at the moment, the pull rod 12 moves towards the inside of the sliding cavity 10, the fixing plate 22 can enter the horizontal groove 21, the sealing stop block 19 can be pushed to move upwards along the vertical groove 17 after the fixing plate 22 abuts against the trapezoidal groove 20 in the sealing stop block 19, when the sealing stop block 19 is separated from the through groove 18, the communication between the inside and the outside of the sucker 9 can be quickly realized, the sucker 9 can be quickly restored to the original state, the modeling processor body 1 can be quickly separated, and the modeling processor body 1 is convenient to install, can be used at different positions, and can effectively increase the applicability of the modeling processor body 1.
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 fall within the spirit and principle of the present invention are intended to be included therein.
Claims (3)
1. The big data genetic algorithm data modeling processing device comprises a modeling processor body (1) and a big database, and is characterized in that a mounting groove (2) is formed in the inner wall of the modeling processor body (1), a data processing center (3) is fixed on the inner wall of the mounting groove (2), a connector (4) is fixed on the side wall of the modeling processor body (1), the data processing center (3) is communicated with the connector (4) through a transmission line (5), a plurality of modeling chips (6) are fixed at the inner bottom of the mounting groove (2), a plurality of receivers (7) are arranged at the upper end of the modeling processor body (1), a plurality of indicator lamps (8) are fixed at the upper end of the modeling processor body (1), the modeling chips (6) are in one-to-one correspondence with the receivers (7), and the indicator lamps (8) are in one-to-one correspondence with the modeling chips (6), the bottom of the modeling processor body (1) is fixedly provided with a plurality of suckers (9), two groups of symmetrically arranged adsorption devices are arranged inside the modeling processor body (1), a plurality of sealing devices are arranged inside the modeling processor body (1), and the plurality of sealing devices correspond to the suckers (9) one by one;
the adsorption device comprises two sliding cavities (10) arranged inside a modeling processor body (1), the inner walls of the two sliding cavities (10) are connected with sealing sliding plates (11) in a sealing and sliding mode, the two sealing sliding plates (11) are connected with the inner walls of the corresponding sliding cavities (10) through return springs (13), the side wall of the modeling processor body (1) is connected with a pull rod (12) in a penetrating and sliding mode, the end portion of the pull rod (12) penetrates through one sliding cavity (10) and extends into the other sliding cavity (10), the pull rod (12) and the two sealing sliding plates (11) are connected in a penetrating and sliding mode, two annular baffles (14) are fixed on the circumferential side wall of the pull rod (12), and the two annular baffles (14) are abutted to the two sealing sliding plates (11) respectively; the inner bottoms of the two sliding cavities (10) are respectively provided with an air inlet groove (15) and an air outlet groove (16) which are communicated with the outside of the modeling processor body (1), the insides of the air inlet grooves (15) and the air outlet grooves (16) are respectively provided with a one-way valve, the conduction state of the one-way valve arranged inside the air inlet groove (15) is from the outside of the modeling processor body (1) to the inside of the sliding cavity (10), the conduction state of the one-way valve arranged inside the air outlet groove (16) is from the inside of the sliding cavity (10) to the outside of the modeling processor body (1), the air inlet groove (15) is positioned inside the sucker (9), and the air outlet groove (16) is positioned outside the sucker (9);
the sealing device comprises a vertical groove (17) arranged at the bottom of the modeling processor body (1), a through groove (18) communicated with the inside of the sucker (9) is formed in the inner wall of the vertical groove (17), a sealing stop block (19) is connected to the inner wall of the vertical groove (17) in a sealing and sliding mode, the sealing stop block (19) is in sealing and abutting contact with the through groove (18), and a trapezoidal groove (20) is formed in the side wall of the sealing stop block (19); horizontal groove (21) with the inside intercommunication of vertical groove (17) are seted up to the lateral wall of sliding chamber (10), horizontal groove (21) correspond with dovetail groove (20), the lateral wall of ring baffle (14) is fixed with fixed plate (22), fixed plate (22) correspond with horizontal groove (21), two the tip of pull rod (12) is fixed with connecting plate (23) jointly.
2. Big data genetic algorithm data modeling processing apparatus according to claim 1, characterized in that the big database is in bidirectional electrical connection with a data collector, the data collector is a connector (4), the data collector is in bidirectional electrical connection with a processing center, the processing center is a data processing center (3), the processing center is in electrical connection with a plurality of modeling modules.
3. Big data genetic algorithm data modeling processing apparatus according to claim 2, characterized in that the modeling module comprises a modeling chip (6) in unidirectional electrical connection with the processing center, the modeling chip (6) is in bidirectional electrical connection with the indicator light (8), the modeling chip (6) is in unidirectional electrical connection with the receiver (7), the modeling chip (6) is in unidirectional electrical connection with the information storage, the information storage is in unidirectional electrical connection with the processing center.
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| CN110632362A (en) * | 2018-06-22 | 2019-12-31 | 天津市世纪华信科技有限公司 | Voltage determination device based on genetic algorithm |
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| JP6593035B2 (en) * | 2015-08-31 | 2019-10-23 | 株式会社リコー | Control system, information processing apparatus, modeling system, and program |
| CN109240438B (en) * | 2018-08-17 | 2020-12-22 | 安徽宝葫芦信息科技集团股份有限公司 | Computer with dustproof function based on block chain technology |
| CN212365006U (en) * | 2020-06-03 | 2021-01-15 | 深圳市圣格特电子有限公司 | Data acquisition unit with stable transmission |
| CN112230731A (en) * | 2020-10-19 | 2021-01-15 | 南京虞如梦信息技术有限公司 | Electronic computing equipment that stability is high |
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| CN110632362A (en) * | 2018-06-22 | 2019-12-31 | 天津市世纪华信科技有限公司 | Voltage determination device based on genetic algorithm |
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Effective date of registration: 20230417 Address after: No. 623, zhuanqiang economic Park, Gaochun District, Nanjing, Jiangsu 211300 Patentee after: Jiangsu Tianji Technology Industry Co.,Ltd. Address before: 230000 floor 1, building 2, phase I, e-commerce Park, Jinggang Road, Shushan Economic Development Zone, Hefei City, Anhui Province Patentee before: Dragon totem Technology (Hefei) Co.,Ltd. Effective date of registration: 20230417 Address after: 230000 floor 1, building 2, phase I, e-commerce Park, Jinggang Road, Shushan Economic Development Zone, Hefei City, Anhui Province Patentee after: Dragon totem Technology (Hefei) Co.,Ltd. Address before: No.399 BOCAI Road, Changchun hi tech Development Zone, Jilin Province, 130000 Patentee before: Changchun Institute of Electronic Science and technology |