CN113543601A - Data mining system for predicting new service potential users - Google Patents

Data mining system for predicting new service potential users Download PDF

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Publication number
CN113543601A
CN113543601A CN202110868033.8A CN202110868033A CN113543601A CN 113543601 A CN113543601 A CN 113543601A CN 202110868033 A CN202110868033 A CN 202110868033A CN 113543601 A CN113543601 A CN 113543601A
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CN
China
Prior art keywords
module
shell
cooling
pipe
data mining
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Pending
Application number
CN202110868033.8A
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Chinese (zh)
Inventor
廖敏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanchang Intelligent Production Technology Co ltd
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Nanchang Intelligent Production Technology Co ltd
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Publication date
Application filed by Nanchang Intelligent Production Technology Co ltd filed Critical Nanchang Intelligent Production Technology Co ltd
Priority to CN202110868033.8A priority Critical patent/CN113543601A/en
Publication of CN113543601A publication Critical patent/CN113543601A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05KPRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
    • H05K7/00Constructional details common to different types of electric apparatus
    • H05K7/20Modifications to facilitate cooling, ventilating, or heating
    • H05K7/20709Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
    • H05K7/20718Forced ventilation of a gaseous coolant
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05KPRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
    • H05K7/00Constructional details common to different types of electric apparatus
    • H05K7/20Modifications to facilitate cooling, ventilating, or heating
    • H05K7/20709Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05KPRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
    • H05K7/00Constructional details common to different types of electric apparatus
    • H05K7/20Modifications to facilitate cooling, ventilating, or heating
    • H05K7/20709Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
    • H05K7/20763Liquid cooling without phase change

Abstract

The invention relates to the field of data processing, in particular to a data mining system for predicting potential users of new services. Cooling tube and bracing piece fixed connection, circulation coolant liquid in the cooling tube can dispel the heat to excavating the subassembly, rolls over a pipe and communicates with the cooling tube, a plurality of first fin with roll over a pipe fixed connection, roll over the coolant liquid in the pipe and make and can fully dispel the heat to first fin through rolling over a pipe, circulating fan drives the gas circulation in the first recess and flows, improves the radiating efficiency. The circulating pump is communicated with the folding pipe, the cooling box is communicated with the circulating pump, cooling liquid is arranged in the cooling box, the circulating pump is started to enable the cooling liquid to flow in a circulating mode, the refrigerator is connected with the cooling box, heat dissipation can be fully performed, the excavating assembly can dissipate heat better, and working efficiency is improved.

Description

Data mining system for predicting new service potential users
Technical Field
The invention relates to the field of data processing, in particular to a data mining system for predicting potential users of new services.
Background
Data mining, also known as knowledge discovery in databases, is a product of combining various disciplines such as artificial intelligence, machine learning, database technology and the like at present, and is a nontrivial process for revealing implicit, previously unknown and potentially valuable information from a large amount of data in a database.
The chip operation is higher in the data mining process, the heat dissipation effect of the existing equipment is not good, and the working frequency of the chip is easily reduced to reduce the working efficiency.
Disclosure of Invention
The invention aims to provide a data mining system for predicting potential users of new services, and aims to solve the problem that the working efficiency is reduced due to poor heat dissipation efficiency of the existing equipment.
In order to achieve the above object, the present invention provides a data mining system for predicting potential users of new businesses, comprising a support assembly, a heat dissipation assembly and a mining assembly, wherein the support assembly comprises a base, a housing, a cover plate and a support rod, the housing is provided with a first groove, the housing is fixedly connected with the base and positioned at one side of the base, the support rod is fixedly connected with the housing and positioned in the first groove, the mining assembly is arranged on the support rod, the cover plate is rotatably connected with the housing and covers the first groove, the heat dissipation assembly comprises a cooling pipe, a folded pipe, a first cooling fin, a cooling box, a circulating pump, a circulating fan and a refrigerator, the cooling pipe is fixedly connected with the support rod and close to the mining assembly, the folded pipe is provided with a plurality of second grooves, and the folded pipe is communicated with the cooling pipe, the first cooling fins are fixedly connected with the folded pipe and are respectively positioned in the second grooves, the circulating fan is arranged in the first groove, the circulating pump is communicated with the folded pipe and is positioned outside the shell, the cooling box is communicated with the circulating pump and is positioned on one side of the shell, and the refrigerator is connected with the cooling box and is positioned on one side of the cooling box.
The supporting assembly further comprises a vibration reduction pad, and the vibration reduction pad is fixedly connected with the base and located on one side of the base.
The vibration from the ground can be reduced through the vibration damping pad, so that the cloud center is more stable.
The first radiating fin is provided with a plurality of through holes, the through holes are distributed on the first radiating fin, and the circulating fan is arranged on one side of the first radiating fin.
The plurality of through holes are convenient for air to pass through, so that the air can pass through the through holes conveniently, and meanwhile, the heat can be better dissipated.
The heat dissipation assembly further comprises a temperature sensor, and the temperature sensor is fixedly connected with the shell and is positioned in the shell.
The temperature sensor is used for detecting the temperature in the shell, so that the circulating pump can be controlled more intelligently to save energy.
The heat dissipation assembly further comprises a second heat dissipation fin, and the second heat dissipation fin is fixedly connected with the shell and located on one side of the shell.
The second heat sink can increase the heat dissipation efficiency of the housing, thereby saving more energy.
The mining assembly comprises a collecting module, a processing module, a counting module, an adjusting module and a distributing module, wherein the processing module is connected with the collecting module, the counting module and the distributing module are respectively connected with the processing module, and the adjusting module is connected with the counting module;
the collection module is used for collecting the customer information at the webpage and the application end;
the processing module is used for processing the client information to obtain target client information and integral client information
The statistical module is used for counting and recording the whole customer information;
the adjusting module is used for adjusting the advertisement putting strategy based on the analysis condition;
and the distribution module is used for distributing the target customer information to the staff for return visit.
The processing module comprises a tag device, a collator and an identifier, wherein the collator is connected with the tag device, and the identifier is connected with the collator; the tag is used for marking the customer information based on the input tag, the collator is used for collating and classifying all customer data, and the identification module is used for identifying the target customer.
The recognizer comprises a setting unit, a training unit and an output unit, wherein the training unit is connected with the setting unit, and the output unit is connected with the training unit; the setting unit is used for setting keywords of a target customer, the training unit is used for training based on big data, and the output unit is used for outputting information of the target customer.
According to the data mining system for predicting the potential users of the new business, the shell is fixedly connected with the base and is positioned on one side of the base, the shell is supported through the base, the supporting rod is fixedly connected with the shell and is positioned in the first groove, the mining assembly is arranged on the supporting rod, the supporting rod can lift the shell away from a certain height, so that the heat dissipation is more sufficient, the cover plate is rotatably connected with the shell and covers the first groove, and the shell is sealed through the cover plate. The cooling assembly comprises a cooling pipe, a folding pipe, a first cooling fin, a cooling box, a circulating pump, a circulating fan and a refrigerator, the cooling pipe is fixedly connected with the supporting rod and close to the excavating assembly, cooling liquid flows through the cooling pipe and can be cooled by the excavating assembly, the folding pipe is provided with a plurality of second grooves, the folding pipe is communicated with the cooling pipe and is located on one side of the cooling pipe, the folding pipe is a plurality of the first cooling fin is fixedly connected with the folding pipe and is respectively located in the second grooves, the cooling liquid flowing through the folding pipe can fully cool the first cooling fin, the circulating fan is arranged in the first grooves, and the circulating fan can drive gas in the first grooves to circularly flow, so that the heat dissipation efficiency is improved. The cooling box is connected with the cooling box and is positioned on one side of the cooling box, so that heat can be fully dissipated, the excavating component can better dissipate heat, the working efficiency is improved, and the problem that the working efficiency is reduced due to poor heat dissipation efficiency of the existing equipment is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a rear block diagram of a data mining system for predicting potential users of new services in accordance with the present invention;
FIG. 2 is a left side block diagram of a data mining system for predicting potential users of new services in accordance with the present invention;
FIG. 3 is a front block diagram of a data mining system for predicting potential users of new services in accordance with the present invention;
FIG. 4 is a schematic cross-sectional view of a data mining system for predicting potential users of new services in accordance with the present invention;
FIG. 5 is a block diagram of the digging assembly of the present invention;
FIG. 6 is a block diagram of a processing module of the present invention.
1-supporting component, 2-heat dissipation component, 3-digging component, 11-base, 12-shell, 13-cover plate, 14-supporting rod, 21-cooling pipe, 22-folding pipe, 23-first radiating fin, 24-cooling box, 25-circulating pump, 26-circulating fan, 27-refrigerator, 28-temperature sensor, 29-second radiating fin, 31-collecting module, 32-processing module, 33-statistical module, 34-adjusting module, 35-distributing module, 111-vibration damping pad, 121-first groove, 221-second groove, 231-through hole, 241-box body, 242-clapboard, 321-tag device, 322-collator, 323-recognizer, 2411-water inlet, 2412-a water outlet, 3231-a setting unit, 3232-a training unit and 3233-an output unit.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, and are used merely for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. Further, in the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Referring to fig. 1 to 6, the present invention provides a data mining system for predicting potential users of new services:
including supporting component 1, radiator unit 2 and excavation component 3, supporting component 1 includes base 11, shell 12, apron 13 and bracing piece 14, shell 12 has first recess 121, shell 12 with base 11 fixed connection, and be located one side of base 11, bracing piece 14 with shell 12 fixed connection, and be located in first recess 121, excavation component 3 sets up on bracing piece 14, apron 13 with shell 12 rotates to be connected, and cover first recess 121, radiator unit 2 includes cooling tube 21, dog-leg 22, first fin 23, cooling box 24, circulating pump 25, circulating fan 26 and refrigerator 27, cooling tube 21 with bracing piece 14 fixed connection, and be close to excavation component 3, dog-leg 22 has a plurality of second recesses 221, dog-leg 22 with cooling tube 21 communicates, and is located one side of the cooling pipe 21, the plurality of first cooling fins 23 are fixedly connected with the folded pipe 22 and are respectively located in the plurality of second grooves 221, the circulation fan 26 is disposed in the first groove 121, the circulation pump 25 is communicated with the folded pipe 22 and is located outside the housing 12, the cooling tank 24 is communicated with the circulation pump 25 and is located one side of the housing 12, and the refrigerator 27 is connected with the cooling tank 24 and is located one side of the cooling tank 24.
In this embodiment, the housing 12 is fixedly connected to the base 11 and located at one side of the base 11, the housing 12 is supported by the base 11, the support rod 14 is fixedly connected to the housing 12 and located in the first groove 121, the excavating component 3 is disposed on the support rod 14, the support rod 14 can lift the housing 12 to a certain height, so that heat dissipation is more sufficient, the cover plate 13 is rotatably connected to the housing 12 and covers the first groove 121, and the housing 12 is closed by the cover plate 13. The heat dissipation assembly 2 includes a cooling pipe 21, a folded pipe 22, a first heat sink 23, a cooling box 24, a circulation pump 25, a circulation fan 26 and a refrigerator 27, the cooling pipe 21 is fixedly connected to the support rod 14 and is close to the excavating assembly 3, the cooling pipe 21 is filled with a cooling fluid to dissipate heat of the excavating assembly 3, the folded pipe 22 has a plurality of second grooves 221, the folded pipe 22 is communicated with the cooling pipe 21 and is located at one side of the cooling pipe 21, the plurality of first heat sinks 23 are fixedly connected to the folded pipe 22 and are respectively located in the plurality of second grooves 221, the cooling fluid flowing through the folded pipe 22 is made to sufficiently dissipate heat of the first heat sinks 23 by the folded pipe 22, the circulation fan 26 is located in the first groove 121, the circulation fan 26 can drive the gas in the first groove 121 to circulate, the heat dissipation efficiency is improved. The circulating pump 25 is communicated with the bent pipe 22 and is positioned outside the housing 12, the cooling tank 24 is communicated with the circulating pump 25 and is positioned on one side of the housing 12, cooling liquid is arranged in the cooling tank 24, the circulating pump 25 is started to circulate and flow the cooling liquid, the refrigerator 27 is connected with the cooling tank 24 and is positioned on one side of the cooling tank 24, and the model of the cooler is TEC1-12703, so that heat can be sufficiently dissipated, the excavating assembly 3 can dissipate heat better, the working efficiency is improved, and the problem that the working efficiency is reduced due to poor heat dissipation efficiency of the existing equipment is solved.
Further, the support assembly 1 further includes a vibration damping pad 111, and the vibration damping pad 111 is fixedly connected to the base 11 and is located on one side of the base 11.
In the present embodiment, the vibration from the ground can be reduced by the vibration damping pad 111, so that the cloud center is more stable.
Further, the first heat sink 23 has a plurality of through holes 231, the through holes 231 are distributed on the first heat sink 23, and the circulation fan 26 is disposed at one side of the first heat sink 23; the heat dissipation assembly 2 further comprises a temperature sensor 28, wherein the temperature sensor 28 is fixedly connected with the housing 12 and is located in the housing 12; the heat dissipation assembly 2 further comprises a second heat dissipation fin 29, wherein the second heat dissipation fin 29 is fixedly connected with the housing 12 and is positioned on one side of the housing 12.
In the present embodiment, the plurality of through holes 231 facilitate the passage of air, so that air can pass through the through holes 231 conveniently, and heat can be better dissipated. The temperature sensor 28 is used to detect the temperature inside the housing 12 so that the circulation pump 25 can be more intelligently controlled to save energy. The second heat sink 29 can increase the heat dissipation efficiency of the housing 12, thereby saving more energy.
Further, the cooling box 24 includes a box body 241 and a plurality of partitions 242, the box body 241 has a water inlet 2411 and a water outlet 2412, the plurality of partitions 242 are alternately disposed in the box body 241, the water inlet 2411 and the water outlet 2412 are disposed at two sides of the box body 241, and the water inlet 2411 is close to the refrigerator 27.
In this embodiment, the cooling liquid entering from the water outlet 2412 to absorb heat may be closely attached to the refrigerator 27, so that the heat dissipation effect is better, and then further dissipated by the second heat dissipation fins 29 through the spaces partitioned by the plurality of partitions and then enters the water inlet 2411, so that the cooling effect is better.
Further, the mining assembly 3 includes a collecting module 31, a processing module 32, a counting module 33, an adjusting module 34 and a distributing module 35, the processing module 32 is connected to the collecting module 31, the counting module 33 and the distributing module 35 are respectively connected to the processing module 32, and the adjusting module 34 is connected to the counting module 33;
the collection module 31 is used for collecting customer information at a webpage and an application end;
the processing module 32 is used for processing the customer information to obtain the target customer information and the whole customer information
The statistical module 33 is used for counting and recording the whole customer information;
the adjusting module 34 is configured to adjust an advertisement delivery policy based on the analysis condition;
the distribution module 35 is configured to distribute the target customer information to the staff for return visit.
In this embodiment, the web page may be an H5 web page, and the application terminal may be a computer application, an android application, and an apple application. The collected customer information includes information such as name, sex, age, browsing history, etc., the processing module 32 can screen out target customer information based on the customer information, and then the target customer information is distributed to corresponding staff for return visit through the distribution module 35 to improve the transaction rate, in addition, the whole customer information is input to the statistic module 33 for analysis, and the analyzed parameters include conversion rate, accuracy rate, etc., so that the adjustment module 34 can be controlled to readjust the advertisement putting strategy based on the analysis condition to improve the working efficiency.
Further, the processing module 32 includes a tag 321, a collator 322, and an identifier 323, where the collator 322 is connected to the tag 321, and the identifier 323 is connected to the collator 322; the labeler 321 is used for labeling the customer information based on the input label, the collator 322 is used for collating and classifying all the customer data, and the identification module is used for identifying the target customer.
In this embodiment, the tag is set in advance based on the product condition of the enterprise, so that the tag and the customer information can be adopted for analysis and matching, all the customer data can be conveniently classified through the collator 322, the arrangement and distribution in the later period are facilitated, and the identification module can screen out the target customer based on the set target customer tag.
Further, the recognizer 323 comprises a setting unit 3231, a training unit 3232 and an output unit 3233, wherein the training unit 3232 is connected with the setting unit 3231, and the output unit 3233 is connected with the training unit 3232; the setting unit is used for setting keywords of a target client, the training unit 3232 is used for training based on big data, and the output unit 3233 is used for outputting target client information.
In this embodiment, the setting unit 3231 may set a keyword of a target customer, and then input the keyword to the training unit 3232 for recognition, and the training unit 3232 performs training in a deep learning manner based on a historical collected sample, and then may output target customer information through the output unit 3233.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (8)

1. A data mining system for predicting potential users of new services,
comprises a supporting component, a radiating component and an excavating component, wherein the supporting component comprises a base, a shell, a cover plate and a supporting rod, the shell is provided with a first groove, the shell is fixedly connected with the base and positioned on one side of the base, the supporting rod is fixedly connected with the shell and positioned in the first groove, the excavating component is arranged on the supporting rod, the cover plate is rotatably connected with the shell and covers the first groove, the radiating component comprises a cooling pipe, a folding pipe, a first radiating fin, a cooling box, a circulating pump, a circulating fan and a refrigerator, the cooling pipe is fixedly connected with the supporting rod and is close to the excavating component, the folding pipe is provided with a plurality of second grooves, the folding pipe is communicated with the cooling pipe and positioned on one side of the cooling pipe, and the first radiating fins are fixedly connected with the folding pipe, and are located a plurality of respectively in the second recess, circulating fan sets up in the first recess, the circulating pump with roll over the pipe intercommunication, and be located the shell is outside, the cooling tank with the circulating pump intercommunication, and be located one side of shell, the refrigerator with the cooling tank is connected, and be located one side of cooling tank.
2. The data mining system for predicting potential users of new services as recited in claim 1,
the supporting component further comprises a vibration reduction pad, and the vibration reduction pad is fixedly connected with the base and is positioned on one side of the base.
3. The data mining system for predicting potential users of new services as recited in claim 1,
the first radiating fin is provided with a plurality of through holes, the through holes are distributed on the first radiating fin, and the circulating fan is arranged on one side of the first radiating fin.
4. A data mining system to predict potential users of new services as claimed in claim 3,
the heat dissipation assembly further comprises a temperature sensor, and the temperature sensor is fixedly connected with the shell and is positioned in the shell.
5. The data mining system for predicting potential users of new services as recited in claim 4,
the heat dissipation assembly further comprises a second heat dissipation fin, and the second heat dissipation fin is fixedly connected with the shell and is located on one side of the shell.
6. The data mining system for predicting potential users of new services as recited in claim 1,
the mining assembly comprises a collecting module, a processing module, a counting module, an adjusting module and a distributing module, wherein the processing module is connected with the collecting module, the counting module and the distributing module are respectively connected with the processing module, and the adjusting module is connected with the counting module;
the collection module is used for collecting the customer information at the webpage and the application end;
the processing module is used for processing the client information to obtain target client information and integral client information
The statistical module is used for counting and recording the whole customer information;
the adjusting module is used for adjusting the advertisement putting strategy based on the analysis condition;
and the distribution module is used for distributing the target customer information to the staff for return visit.
7. The data mining system for predicting potential users of new services as recited in claim 6,
the processing module comprises a tag device, a collator and an identifier, wherein the collator is connected with the tag device, and the identifier is connected with the collator; the tag is used for marking the customer information based on the input tag, the collator is used for collating and classifying all customer data, and the identification module is used for identifying the target customer.
8. The data mining system for predicting potential users of new services as recited in claim 7,
the recognizer comprises a setting unit, a training unit and an output unit, wherein the training unit is connected with the setting unit, and the output unit is connected with the training unit; the setting unit is used for setting keywords of a target customer, the training unit is used for training based on big data, and the output unit is used for outputting information of the target customer.
CN202110868033.8A 2021-07-30 2021-07-30 Data mining system for predicting new service potential users Pending CN113543601A (en)

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Application Number Priority Date Filing Date Title
CN202110868033.8A CN113543601A (en) 2021-07-30 2021-07-30 Data mining system for predicting new service potential users

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110868033.8A CN113543601A (en) 2021-07-30 2021-07-30 Data mining system for predicting new service potential users

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CN112856554A (en) * 2020-12-21 2021-05-28 立可达电器(江苏)有限公司 Remote control method and control equipment for electric fireplace
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CN204697464U (en) * 2015-06-04 2015-10-07 张能力 A kind of novel for giving the heat sink arrangement of pseudo-base station detector cooling
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Application publication date: 20211022