CN111667347A - Big data type searching system based on 5G communication technology and searching method thereof - Google Patents
Big data type searching system based on 5G communication technology and searching method thereof Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0609—Buyer or seller confidence or verification
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- G—PHYSICS
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- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
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- H04N1/32—Circuits or arrangements for control or supervision between transmitter and receiver or between image input and image output device, e.g. between a still-image camera and its memory or between a still-image camera and a printer device
- H04N1/32101—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title
- H04N1/32144—Display, printing, storage or transmission of additional information, e.g. ID code, date and time or title embedded in the image data, i.e. enclosed or integrated in the image, e.g. watermark, super-imposed logo or stamp
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- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/35—Services specially adapted for particular environments, situations or purposes for the management of goods or merchandise
Abstract
A big data type searching system based on a 5G communication technology and a searching method thereof belong to the technical field of internet searching, wherein the big data type searching system based on the 5G communication technology comprises user mobile equipment, a 5G communication module and a server system. The invention applies the 5G communication technology to the high-speed transmission of data, applies the 5G communication technology to a picture search system for purchasing commodities, enables a user to transmit pictures of commodities to be purchased in a reciprocating uploading method, namely, the pictures are transmitted in a mode of uploading encryption and then uploading search, can carry out confidential treatment on search information of the user to avoid leakage, meanwhile, carries out matching search in a big data mode after recognizing pictures by taking the whole network resources as the basis, returns search results after determining commodity information and sources, directly recommends the nearest store to the user, facilitates the user to go to consumption, provides an anti-theft function for the user, and facilitates the retrieval of mobile equipment of the user and the capture of lawless persons.
Description
Technical Field
The invention belongs to the technical field of internet search, and particularly relates to a big data type search system based on a 5G communication technology and a search method thereof.
Background
With the development of information technology, especially the rapid rise and popularization of social networks, mobile internet, internet of things and big data application, data generated by the development of human society shows explosive growth. The data created every two days worldwide today is equivalent to the sum of data created by humans from the beginning of human civilization to 2003 and is also growing at a rate of 50% per year. The rapidly expanding data has brought human beings into a brand-new 'big data' era, and the data has become strategic resources and production elements which are as important as natural resources and human resources. In the face of such huge data, how to quickly acquire needed data from massive data and discover needed knowledge is a challenge facing today.
The 5G network refers to a fifth generation network in the development of mobile communication networks, and compared with the previous four generation mobile networks, the 5G network shows more enhanced functions in practical application, and theoretically, the transmission speed can reach tens of GB per second, which is hundreds of times higher than that of the 4G mobile network. For 5G network, the network has more obvious advantages and more powerful functions in the practical application process.
With the development of computers and networks, search functions have become the most common functions, and users can conveniently and quickly acquire target information through search operations. However, with the development of business, the searchable data volume is also larger and larger, the data volume which is continuously increased is called as big data at present, the search operation for the big data is called as the search for the big data, the influence of the big data permeates into various industries, and the technology and economic development in the future is deeply influenced, however, the big data brings convenience, more and more human activities generate PB-level data every month, more and more demands also need to process dozens of PB, hundreds of PB and even EB-level data every day, and due to the extremely large data volume, the information volume which needs to be processed is larger and larger through a search system, so that the search efficiency is lowered, the search efficiency is greatly influenced, and the workload, the time consumption and the equipment loss of a big data center are increased.
Most of the existing search systems adopt a text form for searching, when a user purchases a commodity with unknown information, the text form search is difficult to meet the user requirement, the advantage of picture search is reflected, but the data volume of the picture search is large and far exceeds the search volume of the text form, the commodity purchase industry is encumbrance in a picture-finding mode, the user hopes to directly find a shop in a picture to save the search steps, and therefore the existing text search systems and the existing text search systems are difficult to meet the quick search requirement of the user.
Therefore, there is a need in the art for a new solution to solve this problem.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the big data type search system and the search method thereof based on the 5G communication technology are provided for solving the technical problem that the existing character search system and the character search system are difficult to meet the fast search requirement of a user.
A big data type search system based on 5G communication technology comprises user mobile equipment, a 5G communication module and a server system, wherein the user mobile equipment comprises a photographing module and a restoring module; the server system comprises a big data server, an encryption module, an anti-theft module, an image searching module, a data index base module, a data index module, a data storage module, a data acquisition module and a network positioning module;
the photographing module is used for photographing photos and is connected with the encryption module through the 5G communication module; the encryption module encrypts the shot picture, and is connected with the copy-back module through the 5G communication module; the copy-back module is connected with the picture searching module through the 5G communication module and is used for downloading the encrypted pictures and automatically uploading the pictures to the picture searching module; the picture searching module carries out security authentication and picture recognition on the picture, and sends a searching request to the big data server after the picture recognition is finished; the big data server is respectively connected with the anti-theft module, the picture searching module, the data index base module and the network positioning module, and is used for receiving a searching request, retrieving, sending a positioning command to the network positioning module, matching the similarity between a data index searching result and data in the data storage module, and returning the matched data searching result to the picture searching module; the data index base module is respectively connected with the data index module and the data storage module, wherein the data storage module is used for storing the collected commodity data, the data index module is used for establishing commodity data index number, and the data index base module is used for storing the commodity data index number; the data acquisition module is respectively connected with the data index module and the data storage module, and the data acquisition module is used for acquiring commodity data in a whole network.
The user mobile equipment also comprises a mobile phone retrieving module and a GPS positioning module
The anti-theft module comprises a bright screen snapshot unit, a human face information comparison unit and a switching machine positioning unit.
The photographing module comprises a photographing unit and a front photographing unit.
The image searching module comprises an uploading unit, a safety authentication unit, an image recognizing unit, a result unit and a cache unit.
The image recognizing unit comprises target image feature extraction, image feature information coding and similarity matching operation.
The server system also comprises a user information module, and the user information module stores personal information and search records of the user.
And the big data server performs conventional search, personalized search and custom search of pictures.
A search method of big data type search system based on 5G communication technology is used, the big data type search system based on 5G communication technology comprises the following steps,
s1, acquiring commodity data through a data acquisition module in a whole network;
s2, storing the collected commodity data to a data storage module, and simultaneously establishing an index for the collected commodity data by a data index module;
s3, storing the established index into a database module for calling;
s4, the user opens the search system, the user mobile device shoots pictures through the shooting module or selects pictures stored in the user mobile device to upload the pictures to the encryption module through the 5G communication module for encryption processing, the copy-back module downloads the encrypted pictures and uploads the pictures to the picture search module again, and the 5G communication module is used as a data transmission module for downloading and uploading of the copy-back module;
s5, the picture searching module carries out safety certification to the received picture,
if the security authentication result is failed, rejecting the search request and returning an empty search result to the user,
if the security authentication result is passed, the target picture is identified, and a search request is sent to the big data server after the image identification is completed;
s6, after receiving the search request, the big data server locates the user position by the network locating module to narrow the search range, and searches from the database module;
s7, the big data server matches the data index search result with the data in the data storage module, and returns the data search result with the similarity larger than or equal to the set threshold to the picture search module;
and S8, the picture searching module feeds back the nearest shop-house searching result of the user to the user.
The searching method also comprises the following stolen recovering steps:
p1, after the user mobile equipment is stolen, activating a mobile phone retrieving module of the user mobile equipment through anti-theft software installed on the mobile phone, activating an anti-theft module of a search system through the mobile phone retrieving module, sending a theft instruction to a big data server by the anti-theft module, sending a positioning instruction to a network positioning module by the big data server for network positioning and GPS positioning, and conveniently and quickly retrieving;
p2, when a lawbreaker lights up a screen of the user mobile equipment, a front-facing camera of the user mobile equipment automatically starts secret capture and uploads a picture to a big data server;
and P3, transmitting the picture of the lawbreaker to the intelligent police equipment for identification and identity determination through data transmission between the big data server and the intelligent police equipment, and performing network positioning and GPS positioning on the mobile user equipment bound by the lawbreaker to assist the police in capturing the lawbreaker.
Through the design scheme, the invention can bring the following beneficial effects:
(1) the scheme can lay a foundation for high-speed data transmission by using a 5G communication technology, the data can be applied to a picture searching system for commodity purchase, a user can transmit pictures of commodities to be purchased through a round-trip uploading method, namely, the pictures are transmitted in a mode of uploading encryption and then uploading search, the search information of the user can be kept secret to avoid leakage, meanwhile, matching search is carried out through a big data mode after the pictures are recognized by using the whole network resources, the search result is returned after the commodity information and the source are determined, the nearest shop is directly recommended to the user, the user can go to consume conveniently, an anti-theft function is provided for the user, and the user can find back the mobile equipment and capture lawless persons conveniently.
(2) The anti-theft module comprises a bright screen snapshot unit, a human face information comparison unit and a change machine positioning unit, and the front shooting unit is used for snapshot of the face information of a lawbreaker; the mobile phone retrieving module provides remote mobile phone management for the existing functions on the mobile equipment of the user; the bright screen snapshot unit is used for snapshot uploading when a lawbreaker lights the screen; the face information comparison unit is used for locking the identity of the user; the mobile equipment positioning device comprises a mobile equipment positioning unit, a mobile equipment switching unit and a mobile equipment positioning unit, wherein the mobile equipment switching unit is used for switching the positioning of the stolen mobile equipment to the positioning of the lawbreaker mobile equipment, so that the network positioning and the GPS positioning of the stolen mobile equipment are prevented from being invalid, and the lawbreaker is prevented from losing the stolen mobile equipment and being difficult to catch the case.
(3) The picture searching module comprises an uploading unit, a security authentication unit, a picture identifying unit, a result unit and a cache unit, wherein the uploading unit is used for uploading the commodity picture by a user; the safety authentication unit is used for carrying out safety authentication on the picture to prevent a user from purchasing contraband; the image recognizing unit is used for recognizing the commodity image to determine the commodity; the result unit is used for displaying the search result to the user; the cache unit is used for temporarily storing the search result and directly calling the search result in the next search.
(4) The number of pictures uploaded by the uploading unit at the same time is preferably 1-3, at least not less than 1 and at most not more than 5.
(5) The image recognizing unit comprises target image feature extraction, image feature information coding and similarity matching operation.
(6) The caching duration of the caching unit is 15-30 days, the cached data is automatically deleted after the specified duration is reached, the cached data is periodically and automatically cleaned, the data redundancy can be reduced, the running speed of the system is increased, and a user can manually select to clear the cached data.
(7) The server system also comprises a user information module, the user information module stores personal information and search records of the user, the search records only store 100 latest search records, the oldest 1 search record can be automatically covered by the new search record after every 1 search record is exceeded, learning and extension can be carried out according to the search records of the user, and commodities or shops which are interested recently are recommended to the user.
(8) The big data server comprises conventional search, personalized search and custom search, the conventional search is single commodity picture search, and only target search results are returned; the personalized search can return a target search result according to the interest or the demand of the user and simultaneously additionally recommend a similar result or an interested result; the user-defined search is defined by the user.
Drawings
The invention is further described with reference to the following figures and detailed description:
fig. 1 is a block diagram of a big data type search system based on 5G communication technology in the present invention.
Fig. 2 is a flow chart of a big data type searching method based on the 5G communication technology in the present invention.
In the figure, 1-user mobile equipment, 2-5G communication module, 3-server system, 101-photographing module, 102-restore module, 301-big data server, 302-encryption module, 303-anti-theft module, 304-picture searching module, 305-data index base module, 306-data index module, 307-data storage module, 308-data acquisition module and 309-network positioning module.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention; it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by those skilled in the art without any inventive work are within the scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise specifically stated or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are used in a broad sense, and for example, "connected" may be a fixed connection, a detachable connection, an integral connection, a mechanical connection, an electrical connection, a direct connection, an indirect connection through an intermediate medium, and a communication between two elements.
Example (b):
referring to fig. 1, a big data type search system based on 5G communication technology includes a server system 3, the server system 3 is connected with a 5G communication module 2, the 5G communication module 2 is connected with a user mobile device 1, the server system 3 includes a big data server 301, an encryption module 302 and an anti-theft module 303,
the big data server 301 provides big data search service for users, and has the advantages of large search range, accurate data and high speed; the encryption module 302 is used for encrypting pictures provided by users, so that search information is prevented from being stolen, and the security and confidentiality of search are improved; the anti-theft module 303 is used for providing an anti-theft function for the user mobile equipment 1 and helping the user to find back, the big data server 301 is connected with a picture searching module 304, the user mobile equipment 1 comprises a photographing module 101 and a copy-back module 102, the photographing module 101 is connected with an encryption module 302, the encryption module 302 is connected with the copy-back module 102, the copy-back module 102 is connected with the picture searching module 304, the photographing module 101 uploads a picture taken by the user to the encryption module 302 for encryption and then downloads the picture to the copy-back module 102, and the picture is automatically uploaded to the picture searching module 304 by the copy-back module 102 for searching, so that the safety of picture searching and the confidentiality of user information are improved, the big data server 301 is connected with a data index library module 305, the big data server 301 is an analysis and processing server based on big data technology and is responsible for receiving the request of the picture searching, searching is carried out from the data index library module 305, meanwhile, a matching result is returned to the picture searching module 304 from the data storage module 307, the data index library module 305 is respectively connected with the data index module 306 and the data storage module 307, and the data index library module 305 is responsible for storing data index information established by the data index module 306 and used by the big data server 301; the data storage module 307 is responsible for storing various data resources acquired by the data acquisition module 308 and supporting the storage of structured data and unstructured data, the data indexing module 306 is connected with the data acquisition module 308, the data indexing module 306 is responsible for indexing the data resources acquired by the data acquisition module 308 according to the attribute information of the data and storing the indexed data to the data indexing library module 305; the data acquisition module 308 is responsible for acquiring data objects to be searched and processing the data into a data format convenient for searching, and the big data server 301 is also connected with a network positioning module 309, so that the positioning speed is high, the positioning precision is high, and the positioning of the user mobile device 1 can be instantly realized under the networking condition.
The photographing module 101 comprises a normal photographing unit and a front photographing unit, the user mobile equipment 1 comprises a mobile phone retrieving module and a GPS positioning module, the anti-theft module 303 comprises a bright screen snapshot unit, a human face information comparison unit and a change machine positioning unit, and the front photographing unit is used for snapshot of the face information of a lawbreaker; the mobile phone retrieving module provides remote mobile phone management for the user for the existing functions on the mobile device 1 of the user; the bright screen snapshot unit is used for snapshot uploading when a lawbreaker lights the screen; the face information comparison unit is used for locking the identity of the user; the switching machine positioning unit is used for transferring the positioning of the stolen user mobile equipment 1 to the positioning of the lawbreaker user mobile equipment 1, so that on one hand, the network positioning and the GPS positioning of the stolen user mobile equipment 1 are prevented from being invalid, and on the other hand, the lawbreaker is prevented from losing the stolen user mobile equipment 1 and being difficult to capture the case.
The picture searching module 304 comprises an uploading unit, a security authentication unit, a picture identifying unit, a result unit and a cache unit, wherein the uploading unit is used for a user to upload commodity pictures; the safety authentication unit is used for carrying out safety authentication on the picture to prevent a user from purchasing contraband; the image recognizing unit is used for recognizing the commodity image to determine the commodity; the result unit is used for displaying the search result to the user; the cache unit is used for temporarily storing the search result and directly calling the search result in the next search; the number of the pictures uploaded by the uploading unit at the same time is preferably 1-3, the minimum number of the pictures can not be less than 1, and the maximum number of the pictures can not exceed 5; the image recognizing unit comprises target image feature extraction, image feature information coding and similarity matching operation; the caching duration of the caching unit is 15-30 days, the cached data is automatically deleted after the specified duration is reached, the cached data is periodically and automatically cleaned, the data redundancy can be reduced, the running speed of the system is increased, and a user can manually select to clear the cached data.
The server system 3 further comprises a user information module, the user information module stores personal information and search records of a user, the search records only store 100 latest search records, the oldest 1 search record which can be automatically covered by a new search record after each search record exceeds 1 search record can be learned and extended according to the search records of the user, latest interested commodities or store owners can be recommended to the user, meanwhile, space occupation of a large amount of expired data is avoided, and tracking of user interest can be updated in real time.
The big data server 301 comprises conventional search, personalized search and custom search, wherein the conventional search is single commodity picture search, and only target search results are returned; the personalized search can return a target search result according to the interest or the demand of the user and simultaneously additionally recommend a similar result or an interested result; the user-defined search is characterized in that the search condition is defined by a user, the search performance can be improved on one hand through the big data technology, on the other hand, due to the characteristics of the big data technology, the processing of structured data and unstructured data has inherent advantages, the scope of search objects of a search system is expanded, on the third hand, the machine learning function is provided, the recommendation and the correlation analysis of potential data search are provided by utilizing the analysis and processing capacity of the big data, and the similarity sequencing is provided for the user to select by the user.
A searching method of a big data type searching system based on a 5G communication technology comprises the following steps:
s1, acquiring commodity data through the data acquisition module 308 in a whole network;
s2, storing the collected commodity data in the data storage module 307, and simultaneously establishing an index for the collected commodity data by the data index module 306;
s3, storing the established index into the database module 305 for calling;
s4, after the user opens the search system, the user jumps to the photographing module 101 through the picture search module 304, selects the picture, uploads the picture to the encryption module 302 for encryption, downloads the picture after encryption, and uploads the picture to the picture search module 304 again;
s5, the picture searching module 304 conducts security authentication on the picture, if the security authentication is not passed, the searching request is refused and an empty searching result is returned to the user, if the security authentication is passed, the target picture is identified, and after the identification is completed, the searching request is sent to the big data server 301;
s6, after receiving the search request, the big data server 301 locates the user position by the network location module 309 to narrow the search range, and searches from the database module 305;
s7, the big data server 301 matches the data index search result with the data in the data storage module 307 for similarity, and returns the matched data search result to the picture search module 304;
s8, the picture search module 304 feeds back the nearest store search result of the user to the user.
The searching method of the big data type searching system based on the 5G communication technology further comprises the following steps:
p1, after the user mobile device 1 is stolen, activating the anti-theft module 303 of the search system through the mobile phone retrieving module, and simultaneously, expanding the network positioning and GPS positioning for convenient and rapid retrieval;
p2, when a lawbreaker lights up the screen of the user mobile device 1, the front camera of the user mobile device 1 automatically starts secret capture and uploads a picture;
and P3, identifying the facial information of the lawbreaker and determining the identity through the big data server 301, and then performing network positioning and GPS positioning on the user mobile equipment 1 bound by the lawbreaker to assist the police to catch the lawbreaker.
The invention applies the 5G communication technology to the high-speed transmission of data, applies the 5G communication technology to a picture search system for purchasing commodities, enables a user to transmit pictures of commodities to be purchased in a reciprocating uploading method, namely, the pictures are transmitted in a mode of uploading encryption and then uploading search, can carry out confidential treatment on search information of the user to avoid leakage, meanwhile, carries out matching search in a mode of big data after recognizing pictures by taking the whole network resources as the basis, returns search results after determining commodity information and sources, directly recommends the nearest store to the user, facilitates the user to go to consumption, provides an anti-theft function for the user, and facilitates the retrieval of the user mobile equipment 1 and the capture of lawless persons.
Claims (10)
1. A big data type search system based on 5G communication technology is characterized in that: the system comprises user mobile equipment (1), a 5G communication module (2) and a server system (3), wherein the user mobile equipment (1) comprises a photographing module (101) and a restoring module (102); the server system (3) comprises a big data server (301), an encryption module (302), an anti-theft module (303), a picture searching module (304), a data index library module (305), a data index module (306), a data storage module (307), a data acquisition module (308) and a network positioning module (309);
the photographing module (101) is used for photographing photos, and the photographing module (101) is connected with the encryption module (302) through the 5G communication module (2); the encryption module (302) encrypts the shot photo, and the encryption module (302) is connected with the copy-back module (102) through the 5G communication module (2); the restoring module (102) is connected with the picture searching module (304) through the 5G communication module (2), and the restoring module (102) is used for downloading the encrypted photos and automatically uploading the encrypted photos to the picture searching module (304); the picture searching module (304) performs security authentication and picture recognition on the picture, and sends a searching request to the big data server (301) after the picture recognition is finished; the big data server (301) is respectively connected with the anti-theft module (303), the picture searching module (304), the data index base module (305) and the network positioning module (309), the big data server (301) is used for receiving a searching request and retrieving, sending a positioning command to the network positioning module (309), matching the data index searching result with the similarity of the data in the data storage module (307), and returning the matched data searching result to the picture searching module (304); the data index library module (305) is respectively connected with the data index module (306) and the data storage module (307), wherein the data storage module (307) is used for storing the acquired commodity data, the data index module (306) is used for establishing commodity data index numbers, and the data index library module (305) is used for storing the commodity data index numbers; the data acquisition module (308) is respectively connected with the data index module (306) and the data storage module (307), and the data acquisition module (308) is used for acquiring commodity data in a whole network.
2. The big data type search system based on 5G communication technology as claimed in claim 1, wherein: the user mobile equipment (1) further comprises a mobile phone retrieving module and a GPS positioning module
3. The big data type search system based on 5G communication technology as claimed in claim 1, wherein: the anti-theft module (303) comprises a bright screen snapshot unit, a human face information comparison unit and a switching positioning unit.
4. The big data type search system based on 5G communication technology as claimed in claim 1, wherein: the photographing module (101) comprises a photographing unit and a front photographing unit.
5. The big data type search system based on 5G communication technology as claimed in claim 1, wherein: the picture searching module (304) comprises an uploading unit, a security authentication unit, a picture identifying unit, a result unit and a caching unit.
6. The big data type search system based on 5G communication technology as claimed in claim 5, wherein: the image recognizing unit comprises target image feature extraction, image feature information coding and similarity matching operation.
7. The big data type search system based on 5G communication technology as claimed in claim 1, wherein: the server system (3) also comprises a user information module, and the user information module stores personal information and search records of a user.
8. The big data type search system based on 5G communication technology as claimed in claim 1, wherein: the big data server (301) performs conventional search, personalized search and custom search of pictures.
9. A search method of a big data type search system based on 5G communication technology, which utilizes the big data type search system based on 5G communication technology as claimed in claim 1, and is characterized in that: comprises the following steps which are sequentially carried out,
s1, acquiring commodity data through a data acquisition module (308) in a whole network;
s2, storing the collected commodity data in a data storage module (307), and simultaneously establishing an index for the collected commodity data by a data index module (306);
s3, storing the established index into a database module (305) to wait for calling;
s4, a user opens a search system, a user mobile device (1) shoots pictures through a shooting module (101) or selects pictures stored in the user mobile device (1) to upload the pictures to an encryption module (302) through a 5G communication module (2) for encryption processing, a copy-back module (102) downloads the encrypted pictures and uploads the pictures to a picture search module (304), and the 5G communication module (2) is used as a data transmission module for downloading and uploading of the copy-back module (102);
s5, the picture searching module (304) carries out security authentication to the received picture,
if the security authentication result is failed, rejecting the search request and returning an empty search result to the user,
if the security authentication result is passed, the target picture is identified, and a search request is sent to the big data server (301) after the identification is completed;
s6, after receiving the search request, the big data server (301) locates the user position by the network locating module (309) to narrow the search range, and searches from the data index library module (305);
s7, the big data server (301) matches the data index search result with the data in the data storage module (307) in similarity, and returns the data search result with the similarity larger than or equal to the set threshold to the picture search module (304);
s8, the picture searching module (304) feeds back the nearest store searching result of the user to the user.
10. The searching method of big data type searching system based on 5G communication technology as claimed in claim 9, wherein: the searching method also comprises the following stolen recovering steps:
p1, after the user mobile equipment (1) is stolen, activating a mobile phone retrieving module of the user mobile equipment (1) through anti-theft software installed on a mobile phone, activating an anti-theft module (303) of a search system through the mobile phone retrieving module, sending a theft instruction to a big data server (301) by the anti-theft module (303), sending a positioning instruction to a network positioning module (309) by the big data server (301) for network positioning and GPS positioning, and conveniently and quickly retrieving;
p2, lighting a screen of the user mobile equipment (1) by a lawless person, and starting a hidden snapshot and uploading a picture to a big data server (301) by a front camera of the user mobile equipment (1) by the lawless person;
and P3, transmitting the picture of the lawbreaker to the intelligent police equipment for identification and identity determination through data transmission between the big data server (301) and the intelligent police equipment, and performing network positioning and GPS positioning on the mobile user equipment bound by the lawbreaker to assist the police in capturing the lawbreaker.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112486264A (en) * | 2020-12-10 | 2021-03-12 | 深圳市唯博易科技有限公司 | High and peep-proof portable PDA machine of security |
Citations (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1388461A (en) * | 2001-05-29 | 2003-01-01 | 黄俊诚 | Commodity recommending device and electronic transaction method |
| JP2005192118A (en) * | 2003-12-26 | 2005-07-14 | Kowa Co | Mobile terminal, call management apparatus, call management method, program, and server |
| JP2006352604A (en) * | 2005-06-17 | 2006-12-28 | Sharp Corp | Portable information terminal device |
| US20070027857A1 (en) * | 2005-07-28 | 2007-02-01 | Li Deng | System and method for searching multimedia and download the search result to mobile devices |
| CN101000623A (en) * | 2007-01-08 | 2007-07-18 | 深圳市宜搜科技发展有限公司 | Method for image identification search by mobile phone photographing and device using the method |
| US20110208710A1 (en) * | 2011-04-29 | 2011-08-25 | Lesavich Zachary C | Method and system for creating vertical search engines with cloud computing networks |
| US20120083292A1 (en) * | 2010-09-30 | 2012-04-05 | SECUAPP Co., Ltd. | Mobile phone comprising antitheft function and antitheft method thereof |
| CN102760144A (en) * | 2011-04-26 | 2012-10-31 | 乐活在线（北京）网络技术有限公司 | Information search method and system |
| CN102760174A (en) * | 2012-08-06 | 2012-10-31 | 吴建辉 | Distributed actual condition search engine based on geographic locations and trading system |
| US20120309432A1 (en) * | 2010-09-03 | 2012-12-06 | Huizhou Tcl Mobile Communication Co., Ltd | System and method for tracking stolen communication terminal, and communication terminal |
| CN103347131A (en) * | 2013-07-05 | 2013-10-09 | 张�林 | Intelligent mobile phone anti-theft method and system |
| CN103747008A (en) * | 2014-01-22 | 2014-04-23 | 李南南 | Internet storage device with encryption function and technology of internet storage device |
| US20140162598A1 (en) * | 2010-11-17 | 2014-06-12 | Antony-Euclid C. Villa-Real | Customer-controlled instant-response anti-fraud/anti-identity theft devices (with true- personal identity verification), method and systems for secured global applications in personal/business e-banking, e-commerce, e-medical/health insurance checker, e-education/research/invention, e-disaster advisor, e-immigration, e-airport/aircraft security, e-military/e-law enforcement, with or without NFC component and system, with cellular/satellite phone/internet/multi-media functions |
| CN104700050A (en) * | 2015-03-17 | 2015-06-10 | 上海天奕达电子科技有限公司 | Mobile terminal safety positioning method and device |
| WO2015085942A1 (en) * | 2013-12-13 | 2015-06-18 | 北京奇虎科技有限公司 | Terminal status query method, terminal anti-theft method and corresponding device |
| CN104751086A (en) * | 2015-03-04 | 2015-07-01 | 深圳市金立通信设备有限公司 | Terminal anti-theft method |
| CN105120471A (en) * | 2015-09-15 | 2015-12-02 | 中州大学 | Theft-proof method for dynamically monitoring mobile phone |
| CN105592494A (en) * | 2015-12-24 | 2016-05-18 | 吉林吉大通信设计院股份有限公司 | Method of equalizing pool capacity of mobility management entity |
| CN106412325A (en) * | 2016-11-03 | 2017-02-15 | 罗志华 | Mobile intelligent terminal theft prevention method based on on-off encryption verification |
| WO2017024550A1 (en) * | 2015-08-12 | 2017-02-16 | 刘文婷 | Anti-theft system and method for mobile terminal |
| CN106778390A (en) * | 2016-11-30 | 2017-05-31 | 依偎科技（南昌）有限公司 | A kind of method of terminal anti-theft, device and terminal |
| CN107018509A (en) * | 2017-06-03 | 2017-08-04 | 合肥市闵葵电力工程有限公司 | A kind of system and its application method of theft protection communication terminal |
| CN107679091A (en) * | 2017-09-07 | 2018-02-09 | 北京海融兴通信息安全技术有限公司 | A kind of search system and method based on big data |
| CN109033387A (en) * | 2018-07-26 | 2018-12-18 | 广州大学 | A kind of Internet of Things search system, method and storage medium merging multi-source data |
| CN111127153A (en) * | 2019-12-24 | 2020-05-08 | 武汉同创元盛科技有限公司 | One-stop type e-commerce service management platform |
-
2020
- 2020-06-12 CN CN202010532211.5A patent/CN111667347B/en active Active
Patent Citations (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1388461A (en) * | 2001-05-29 | 2003-01-01 | 黄俊诚 | Commodity recommending device and electronic transaction method |
| JP2005192118A (en) * | 2003-12-26 | 2005-07-14 | Kowa Co | Mobile terminal, call management apparatus, call management method, program, and server |
| JP2006352604A (en) * | 2005-06-17 | 2006-12-28 | Sharp Corp | Portable information terminal device |
| US20070027857A1 (en) * | 2005-07-28 | 2007-02-01 | Li Deng | System and method for searching multimedia and download the search result to mobile devices |
| CN101000623A (en) * | 2007-01-08 | 2007-07-18 | 深圳市宜搜科技发展有限公司 | Method for image identification search by mobile phone photographing and device using the method |
| US20120309432A1 (en) * | 2010-09-03 | 2012-12-06 | Huizhou Tcl Mobile Communication Co., Ltd | System and method for tracking stolen communication terminal, and communication terminal |
| US20120083292A1 (en) * | 2010-09-30 | 2012-04-05 | SECUAPP Co., Ltd. | Mobile phone comprising antitheft function and antitheft method thereof |
| US20140162598A1 (en) * | 2010-11-17 | 2014-06-12 | Antony-Euclid C. Villa-Real | Customer-controlled instant-response anti-fraud/anti-identity theft devices (with true- personal identity verification), method and systems for secured global applications in personal/business e-banking, e-commerce, e-medical/health insurance checker, e-education/research/invention, e-disaster advisor, e-immigration, e-airport/aircraft security, e-military/e-law enforcement, with or without NFC component and system, with cellular/satellite phone/internet/multi-media functions |
| CN102760144A (en) * | 2011-04-26 | 2012-10-31 | 乐活在线（北京）网络技术有限公司 | Information search method and system |
| US20110208710A1 (en) * | 2011-04-29 | 2011-08-25 | Lesavich Zachary C | Method and system for creating vertical search engines with cloud computing networks |
| CN102760174A (en) * | 2012-08-06 | 2012-10-31 | 吴建辉 | Distributed actual condition search engine based on geographic locations and trading system |
| CN103347131A (en) * | 2013-07-05 | 2013-10-09 | 张�林 | Intelligent mobile phone anti-theft method and system |
| WO2015085942A1 (en) * | 2013-12-13 | 2015-06-18 | 北京奇虎科技有限公司 | Terminal status query method, terminal anti-theft method and corresponding device |
| CN103747008A (en) * | 2014-01-22 | 2014-04-23 | 李南南 | Internet storage device with encryption function and technology of internet storage device |
| CN104751086A (en) * | 2015-03-04 | 2015-07-01 | 深圳市金立通信设备有限公司 | Terminal anti-theft method |
| CN104700050A (en) * | 2015-03-17 | 2015-06-10 | 上海天奕达电子科技有限公司 | Mobile terminal safety positioning method and device |
| WO2017024550A1 (en) * | 2015-08-12 | 2017-02-16 | 刘文婷 | Anti-theft system and method for mobile terminal |
| CN105120471A (en) * | 2015-09-15 | 2015-12-02 | 中州大学 | Theft-proof method for dynamically monitoring mobile phone |
| CN105592494A (en) * | 2015-12-24 | 2016-05-18 | 吉林吉大通信设计院股份有限公司 | Method of equalizing pool capacity of mobility management entity |
| CN106412325A (en) * | 2016-11-03 | 2017-02-15 | 罗志华 | Mobile intelligent terminal theft prevention method based on on-off encryption verification |
| CN106778390A (en) * | 2016-11-30 | 2017-05-31 | 依偎科技（南昌）有限公司 | A kind of method of terminal anti-theft, device and terminal |
| CN107018509A (en) * | 2017-06-03 | 2017-08-04 | 合肥市闵葵电力工程有限公司 | A kind of system and its application method of theft protection communication terminal |
| CN107679091A (en) * | 2017-09-07 | 2018-02-09 | 北京海融兴通信息安全技术有限公司 | A kind of search system and method based on big data |
| CN109033387A (en) * | 2018-07-26 | 2018-12-18 | 广州大学 | A kind of Internet of Things search system, method and storage medium merging multi-source data |
| CN111127153A (en) * | 2019-12-24 | 2020-05-08 | 武汉同创元盛科技有限公司 | One-stop type e-commerce service management platform |
Non-Patent Citations (2)
| Title |
|---|
| 刘强强等: "基于移动平台的图像检索系统", pages 10 - 13 * |
| 杨剩金;: "浅谈物联网中移动通信技术的应用", 中国新通信, no. 18, pages 34 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112486264A (en) * | 2020-12-10 | 2021-03-12 | 深圳市唯博易科技有限公司 | High and peep-proof portable PDA machine of security |
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