CN111813972B - Content management method based on big data server - Google Patents
Content management method based on big data server Download PDFInfo
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- CN111813972B CN111813972B CN201911129388.4A CN201911129388A CN111813972B CN 111813972 B CN111813972 B CN 111813972B CN 201911129388 A CN201911129388 A CN 201911129388A CN 111813972 B CN111813972 B CN 111813972B
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Abstract
The invention relates to a content management method based on a big data server, which comprises the step of using a content management system based on the big data server to correct the sequencing serial number of an address book stored by a remote big data server in real time according to the occurrence frequency of people entering a house, so that people can conveniently and quickly find target people.
Description
Technical Field
The invention relates to the field of big data management, in particular to a content management method based on a big data server.
Background
Big data includes structured, semi-structured, and unstructured data, with unstructured data becoming an increasingly dominant part of the data. Survey reports by IDC show: 80% of the data in a business is unstructured and the data grows exponentially by 60% each year. Big data is just a representation or feature of the internet that has progressed to the present stage, and it is not necessary to mythically or otherwise apply to it
Keeping the worries of worship, under the setback of a technical innovation large screen represented by cloud computing, the data which are originally difficult to collect and use are easy to utilize, and through continuous innovation of various industries, the big data can gradually create more value for human beings.
Secondly, to acquire the cognitive big data of the system, it must be decomposed comprehensively and finely, and the development is started from three layers:
the first level is theory, which is the necessary path for cognition and is the baseline for widespread acceptance and dissemination. The overall description and qualification of the industry on the big data are understood from the characteristic definition of the big data; deeply analyzing the rarity of the big data from the discussion of the value of the big data; the development trend of big data is known; the long game between the person and the data is reviewed from this particular and important perspective of big data privacy.
The second level is technology, which is a means and advancing foundation for large data value embodiment. The whole process of big data acquisition, processing, storage and result formation is described herein from the development of cloud computing, distributed processing technology, storage technology and perception technology, respectively.
The third level is practice, which is the ultimate value embodiment of big data. The beautiful scene that the big data already shows and the blueprint to be realized are depicted from the big data of the internet, the big data of the government, the big data of the enterprise and the big data of the individual respectively.
Disclosure of Invention
The invention has at least the following two important points:
(1) a big data server is introduced to manage each address book corresponding to each house, so that the data storage capacity of local equipment is reduced, and the system resources consumed by the local equipment are reduced;
(2) and adaptively correcting the sequencing serial number of the corresponding personnel in the address book corresponding to the house, which is stored by the big data server, according to the frequency of the site personnel entering the house, wherein the higher the frequency of the site personnel entering the house is, the higher the sequencing serial number of the personnel in the address book is.
According to an aspect of the present invention, there is provided a content management method based on a big data server, the method including using a content management system based on a big data server to modify in real time a sequence number of a directory stored in a remote big data server according to an occurrence frequency of a person entering a house, thereby facilitating a person to quickly find a target person, the content management system based on a big data server including:
the data acquisition mechanism is arranged at an entrance of the house and used for performing instant snapshot operation on the entrance position of the house to obtain an instant snapshot image, and outputting the instant snapshot image with the human body outline as an analysis trigger image when the human body outline exists in the instant snapshot image;
the data acquisition mechanism comprises a miniature camera, an infrared transceiver, a content analysis unit and a signal output unit, wherein the infrared transceiver is connected with the miniature camera, and the miniature camera, the content analysis unit and the signal output unit are sequentially connected;
the data judgment equipment is used for receiving the analysis trigger image and analyzing each human body contour in the analysis trigger image to obtain each corresponding person name;
the timing detection device comprises a timing unit and a frequency detection unit, wherein the frequency detection unit is respectively connected with the data judgment device and the timing unit and is used for judging the times of obtaining each personnel name in a preset time interval;
the sequencing control equipment is connected with the big data server through a network and used for correcting the sequencing serial number of the corresponding personnel in the address book corresponding to the house, which is stored by the big data server, in real time based on the number of times of obtaining the name of each personnel within a preset time interval;
the TF memory chip is connected with the data judgment equipment and is used for pre-storing the corresponding relation between the human body outline and the personnel name;
the method for correcting the sequencing sequence number of the corresponding personnel in the address book corresponding to the house, which is stored by the big data server, in real time based on the number of times of obtaining each personnel name within a preset time interval comprises the following steps: the more times each person name is obtained within a preset time interval, the more ahead the sequencing serial number of the corresponding person in the address book corresponding to the house stored by the big data server is corrected in real time in the address book;
the infrared transceiver is arranged at an entrance of the house, connected with the miniature camera and used for detecting whether an object enters the entrance of the house.
The content management method based on the big data server is simple in logic and stable in operation. The sequencing serial numbers of the address books stored by the remote big data server can be corrected in real time according to the occurrence frequency of the personnel entering the house, so that people can conveniently and quickly find the target personnel.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic external view of a micro camera of a data acquisition mechanism of a content management system based on a big data server according to an embodiment of the present invention.
Detailed Description
Embodiments of a big data server-based content management method according to the present invention will be described in detail with reference to the accompanying drawings.
The data analysis means that a large amount of collected data is analyzed by using a proper statistical analysis method, and the collected data is summarized, understood and digested so as to maximally develop the function of the data and play the role of the data. Data analysis is the process of studying and summarizing data in detail to extract useful information and to form conclusions.
The mathematical basis for data analysis was established in the early 20 th century, but the advent of computers did not make practical operation possible and enabled the spread of data analysis. Data analysis is the product of a combination of mathematics and computer science.
Currently, an address book is generally stored in a mobile terminal such as a mobile phone and is only related to a host, so that on one hand, a large amount of system resources of the mobile terminal are consumed, and on the other hand, the address book of the whole family related to a house is lacked. Even though some management modes of the cloud service platform exist, design, construction and maintenance of the address book of the entire home related to the house are rarely involved.
In order to overcome the defects, the invention builds a content management method based on the big data server, and the method comprises the step of using a content management system based on the big data server to correct the sequencing serial number of the address book stored by the remote big data server in real time according to the occurrence frequency of people entering a house, so that people can conveniently and quickly find target people. The content management system based on the big data server can effectively solve the corresponding technical problems.
The big data server-based content management system shown according to the embodiment of the present invention includes:
the data acquisition mechanism is arranged at an entrance of the house and used for performing instant snapshot operation on the entrance position of the house to obtain an instant snapshot image, and outputting the instant snapshot image with the human body outline as an analysis trigger image when the human body outline exists in the instant snapshot image;
the data acquisition mechanism comprises a miniature camera, an infrared transceiver, a content analysis unit and a signal output unit, wherein the infrared transceiver is connected with the miniature camera, and the miniature camera, the content analysis unit and the signal output unit are sequentially connected;
as shown in fig. 1, the outline structure of the micro camera is shown;
the data judgment equipment is used for receiving the analysis trigger image and analyzing each human body contour in the analysis trigger image to obtain each corresponding person name;
the timing detection device comprises a timing unit and a frequency detection unit, wherein the frequency detection unit is respectively connected with the data judgment device and the timing unit and is used for judging the times of obtaining each personnel name in a preset time interval;
the sequencing control equipment is connected with the big data server through a network and used for correcting the sequencing serial number of the corresponding personnel in the address book corresponding to the house, which is stored by the big data server, in real time based on the number of times of obtaining the name of each personnel within a preset time interval;
the TF memory chip is connected with the data judgment equipment and is used for pre-storing the corresponding relation between the human body outline and the personnel name;
the method for correcting the sequencing sequence number of the corresponding personnel in the address book corresponding to the house, which is stored by the big data server, in real time based on the number of times of obtaining each personnel name within a preset time interval comprises the following steps: the more times each person name is obtained within a preset time interval, the more ahead the sequencing serial number of the corresponding person in the address book corresponding to the house stored by the big data server is corrected in real time in the address book;
the infrared transceiver is arranged at an entrance of the house, connected with the miniature camera and used for detecting whether an object enters the entrance of the house.
Next, the detailed configuration of the content management system based on the big data server according to the present invention will be further described.
In the big data server based content management system:
the timing detection device is internally provided with a storage unit used for storing input data and output data of the timing detection device.
In the big data server based content management system:
the sequencing control equipment is connected with the IIC control bus and used for receiving various control instructions sent by the IIC control bus.
In the big data server based content management system:
the timing detection equipment is also connected with a clock generator and used for receiving a timing signal customized for the timing detection equipment by the clock generator.
In the big data server based content management system:
the sequencing control device is implemented using an ASIC chip that includes an online programming interface.
In the big data server based content management system:
the timing detection device and the sequencing control device are positioned on the same printed circuit board and share the same circuit supply device.
In the big data server based content management system:
and the TF memory chip is also connected with the sequencing control equipment and is used for temporarily storing the sequencing serial numbers of the corresponding personnel in the address book corresponding to the house, which are stored by the big data server after real-time correction.
In the big data server based content management system:
in the data determination device, analyzing each human body contour existing in the analysis trigger image to obtain corresponding each person name includes: and analyzing each human body contour existing in the analysis trigger image based on different human imaging characteristics to obtain corresponding human names.
In the big data server based content management system:
the TF memory chip is also connected with the data judgment equipment and used for storing different personnel imaging characteristics.
In addition, an ASIC is considered in the integrated circuit industry as an integrated circuit designed for a specific purpose. Refers to integrated circuits designed and manufactured to meet the needs of a particular user and the needs of a particular electronic system. The ASIC is characterized by facing the requirements of specific users, and compared with a general integrated circuit, the ASIC has the advantages of smaller volume, lower power consumption, improved reliability, improved performance, enhanced confidentiality, reduced cost and the like during batch production.
An integrated circuit is a microelectronic device or component. The elements such as transistor, resistor, capacitor and inductor and wiring required in a circuit are interconnected together by adopting a certain process, manufactured on one or a plurality of small semiconductor wafers or medium substrates, and then packaged in a tube shell to form a micro structure with the required circuit function; all the elements are structurally integrated, so that the electronic elements are greatly miniaturized, low in power consumption, intelligent and high in reliability.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (9)
1. A content management method based on a big data server is characterized in that the method comprises the step of using a content management system based on the big data server to correct the sequencing serial number of an address book stored by a remote big data server in real time according to the occurrence frequency of people entering a house, so that people can conveniently and quickly find target people, and the content management system based on the big data server comprises the following steps:
the data acquisition mechanism is arranged at an entrance of the house and used for performing instant snapshot operation on the entrance position of the house to obtain an instant snapshot image, and outputting the instant snapshot image with the human body outline as an analysis trigger image when the human body outline exists in the instant snapshot image;
the data acquisition mechanism comprises a miniature camera, an infrared transceiver, a content analysis unit and a signal output unit, wherein the infrared transceiver is connected with the miniature camera, and the miniature camera, the content analysis unit and the signal output unit are sequentially connected;
the data judgment equipment is used for receiving the analysis trigger image and analyzing each human body contour in the analysis trigger image to obtain each corresponding person name;
the timing detection device comprises a timing unit and a frequency detection unit, wherein the frequency detection unit is respectively connected with the data judgment device and the timing unit and is used for judging the times of obtaining each personnel name in a preset time interval;
the sequencing control equipment is connected with the big data server through a network and used for correcting the sequencing serial number of the corresponding personnel in the address book corresponding to the house, which is stored by the big data server, in real time based on the number of times of obtaining the name of each personnel within a preset time interval;
the TF memory chip is connected with the data judgment equipment and is used for pre-storing the corresponding relation between the human body outline and the personnel name;
the method for correcting the sequencing sequence number of the corresponding personnel in the address book corresponding to the house, which is stored by the big data server, in real time based on the number of times of obtaining each personnel name within a preset time interval comprises the following steps: the more times each person name is obtained within a preset time interval, the more ahead the sequencing serial number of the corresponding person in the address book corresponding to the house stored by the big data server is corrected in real time in the address book;
the infrared transceiver is arranged at an entrance of the house, connected with the miniature camera and used for detecting whether an object enters the entrance of the house.
2. The method of claim 1, wherein:
the timing detection device is internally provided with a storage unit used for storing input data and output data of the timing detection device.
3. The method of claim 2, wherein:
the sequencing control equipment is connected with the IIC control bus and used for receiving various control instructions sent by the IIC control bus.
4. The method of claim 3, wherein:
the timing detection equipment is also connected with a clock generator and used for receiving a timing signal customized for the timing detection equipment by the clock generator.
5. The method of claim 4, wherein:
the sequencing control device is implemented using an ASIC chip that includes an online programming interface.
6. The method of claim 5, wherein:
the timing detection device and the sequencing control device are positioned on the same printed circuit board and share the same circuit supply device.
7. The method of claim 6, wherein:
and the TF memory chip is also connected with the sequencing control equipment and is used for temporarily storing the sequencing serial numbers of the corresponding personnel in the address book corresponding to the house, which are stored by the big data server after real-time correction.
8. The method of claim 7, wherein:
in the data determination device, analyzing each human body contour existing in the analysis trigger image to obtain corresponding each person name includes: and analyzing each human body contour existing in the analysis trigger image based on different human imaging characteristics to obtain corresponding human names.
9. The method of claim 8, wherein:
the TF memory chip is also connected with the data judgment equipment and used for storing different personnel imaging characteristics.
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Citations (5)
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| EP1187055A2 (en) * | 2000-09-06 | 2002-03-13 | Hitachi, Ltd. | Personal identification device and method |
| CN1612629A (en) * | 2003-10-31 | 2005-05-04 | 英华达(上海)电子有限公司 | Method for arranging telephone directory data according to interpersonal relation index |
| CN102055850A (en) * | 2010-12-31 | 2011-05-11 | 华为终端有限公司 | User based service grouping method and terminal |
| CN103167088A (en) * | 2013-02-04 | 2013-06-19 | 东莞宇龙通信科技有限公司 | Address book ordering method and mobile terminal |
| CN109741499A (en) * | 2018-12-29 | 2019-05-10 | 深圳市多度科技有限公司 | The updating method of user information and device of door access machine |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190130365A1 (en) * | 2017-10-28 | 2019-05-02 | Facebook, Inc. | Generating notifications in a room management system |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1187055A2 (en) * | 2000-09-06 | 2002-03-13 | Hitachi, Ltd. | Personal identification device and method |
| CN1612629A (en) * | 2003-10-31 | 2005-05-04 | 英华达(上海)电子有限公司 | Method for arranging telephone directory data according to interpersonal relation index |
| CN102055850A (en) * | 2010-12-31 | 2011-05-11 | 华为终端有限公司 | User based service grouping method and terminal |
| CN103167088A (en) * | 2013-02-04 | 2013-06-19 | 东莞宇龙通信科技有限公司 | Address book ordering method and mobile terminal |
| CN109741499A (en) * | 2018-12-29 | 2019-05-10 | 深圳市多度科技有限公司 | The updating method of user information and device of door access machine |
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Inventor after: Zhao Futao Inventor after: Chen Junjie Inventor after: Chen Siwei Inventor after: Han Yuzhi Inventor before: Han Yuzhi |
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Effective date of registration: 20210302 Address after: Room 301-13, 3 / F, block C, Vanke building, 2 Jinlong Road, Liangqing District, Nanning City, Guangxi Zhuang Autonomous Region Applicant after: Guangxi Yuyun Network Technology Co.,Ltd. Address before: 226600 No.76 Henglian Road, development zone, Hai'an County, Nantong City, Jiangsu Province Applicant before: Han Yuzhi |
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