Digital cultural courier station system based on cloud reading platform

Abstract

The invention provides a digital cultural post system based on a cloud reading platform, and the system comprises an identification module which is used for obtaining identification information; the identification construction module is used for processing the identification information and acquiring a personnel identification data set corresponding to the personnel; the data acquisition module is used for acquiring to-be-analyzed data from the big data platform based on the personnel identification data set; the analysis module is used for analyzing the to-be-analyzed data to obtain recommended data; and the output module is used for outputting the recommendation data. According to the digital cultural post system based on the cloud reading platform, readers can find required information resources more accurately and conveniently.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a digital cultural station system based on a cloud reading platform. Background Art

[0002] At present, with the rapid development of database technology and the widespread application of database management systems in libraries, a large amount of historical data on readers' access to resources, book borrowing and returning data, etc. have been accumulated in libraries. There is a lot of important information hidden in these data, and people hope to analyze them so as to better use these data to serve readers. The current library management system cannot predict readers' information needs and lacks the means to mine the knowledge hidden in the data. Therefore, in such an ocean of knowledge as the library, it is difficult for readers to find the information resources they need. Therefore, there is an urgent need for a system that can help readers find the information resources they need more accurately. Summary of the invention

[0003] One of the purposes of the present invention is to provide a digital cultural station system based on a cloud reading platform, so as to facilitate readers to find the information resources they need more accurately.

[0004] An embodiment of the present invention provides a digital cultural station system based on a cloud reading platform, comprising:

[0005] An identification module, used to obtain identification information;

[0006] An identification building module is used to process the identification information and obtain a personnel identification data set corresponding to the personnel;

[0007] A data acquisition module is used to acquire the data to be analyzed from the big data platform based on the personnel identification data set;

[0008] An analysis module is used to analyze the data to be analyzed and obtain recommended data;

[0009] Output module, used to output recommendation data.

[0010] Preferably, the identification module obtains the identification information, including:

[0011] Acquire identification information by analyzing an image captured by an image acquisition device disposed at a preset first position in the museum;

[0012] and / or,

[0013] The identification information is obtained through an identity recognition device configured at a preset second position in the library.

[0014] Preferably, the identity recognition device includes: a fingerprint recognition device, a touch screen, an RFID card reader, an input and display module, or one or more combinations thereof.

[0015] Preferably, the output module outputs the recommended data and performs the following operations:

[0016] Displaying the recommended data via a display screen arranged at a preset third position in the museum;

[0017] and / or,

[0018] The recommendation data is output to the mobile terminal through a communication connection with the user's mobile terminal.

[0019] Preferably, the identification building module processes the identification information to obtain a personnel identification data set corresponding to the personnel, including:

[0020] When the identification information is an image, analyze the age, gender, and occupation of the person in the image;

[0021] Based on the analysis results, a personnel identification dataset is constructed;

[0022] When the identification information is pre-stored identity information, the pre-built and stored personnel identification data set is directly retrieved from the storage module;

[0023] Among them, the personnel identification data set stored in the storage module is constructed based on the name, age, gender, occupation, certificate number, and resume analysis in the identity information.

[0024] Preferably, the data acquisition module acquires the data to be analyzed from the big data platform based on the personnel identification data set, including:

[0025] Parse the personnel identification data set, obtain each identification parameter, and combine all identification parameters to construct search terms;

[0026] Based on the search terms, retrieve the search data from the big data platform;

[0027] When the amount of retrieved data is less than or equal to the preset amount, the search terms are reduced, and then the search is performed again from the big data platform until the amount of retrieved data is greater than the preset amount;

[0028] Integrate the retrieved data into data to be analyzed;

[0029] The order of narrowing down the search terms is as follows:

[0030] First, the identification parameters are deleted one at a time in the ascending order of the preset weights corresponding to the identification parameters, and then the number of deleted identification parameters is gradually increased.

[0031] Preferably, the analysis module analyzes the data to be analyzed and obtains the recommended data, including:

[0032] Count the objects corresponding to the data to be analyzed and form a list to be recommended;

[0033] According to the unique identification number of each object in the recommended form, the data to be analyzed are grouped to obtain a plurality of grouped data;

[0034] Determine a first recommended value according to the number of data in each group of data;

[0035] Determine the second recommendation value according to the order of each data in each group of data in the search result and the weight of the search term used during the search;

[0036] According to the sum of the first recommendation value and the second recommendation value, the objects in the recommendation table are sorted, and the objects ranked in the front by a preset number of places are used as the recommended objects in the recommendation data;

[0037] The objects include: physical books, video materials, e-book materials, audio materials, or a combination of one or more of these.

[0038] Preferably, the digital cultural station system based on the cloud reading platform also includes:

[0039] The trigger module determines whether a person has entered a pre-configured trigger area by analyzing an image captured by an image acquisition module at a preset fourth position in the museum; if yes, the trigger module triggers the entry into the boot program;

[0040] The guidance analysis module generates guidance tasks by analyzing the people entering the trigger area;

[0041] The guidance instruction module is used to execute guidance tasks.

[0042] Preferably, the guidance analysis module analyzes the personnel entering the trigger area and generates a guidance task, including:

[0043] Perform identity recognition based on the regional image of the person entering the trigger area in the image;

[0044] When an identity is identified, a guidance task is generated according to the location of the region of interest associated with the identity;

[0045] When the identity is not recognized, feature extraction is performed on the regional image to obtain a feature set;

[0046] Retrieving the interest set associated with the feature set in the preset analysis library;

[0047] Based on the interest set, query the area configuration table within the tube to determine the target location;

[0048] Generate a guidance task with the trigger area as the starting point and the target location as the end point.

[0049] Preferably, the guidance indication module comprises: an array of spotlights arranged in the hall; the spotlights are configured to project guidance signs with arrows onto the ground.

[0050] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0051] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0053] Figure 1 A schematic diagram of a digital cultural station system based on a cloud reading platform in an embodiment of the present invention;

[0054] Figure 2 This is a schematic diagram of another digital culture station system based on a cloud reading platform in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] Example 1

[0057] The embodiment of the present invention provides a digital cultural station system based on a cloud reading platform, such as Figure 1 As shown, including:

[0058] Identification module 1, used to obtain identification information;

[0059] Identification building module 2, used to process the identification information and obtain the personnel identification data set corresponding to the personnel;

[0060] Data acquisition module 3, used to acquire the data to be analyzed from the big data platform based on the personnel identification data set;

[0061] Analysis module 4, used to analyze the data to be analyzed and obtain recommended data;

[0062] The output module 5 is used to output the recommendation data.

[0063] Among them, the identification module obtains identification information, including: receiving the identity authentication information entered by the user in the mobile terminal, and retrieving the identification information based on the identity authentication information. At this time, the identification information is generally the user's identity information; the identification construction module processes the user's identity information to obtain a personnel identification data set; such as extracting the user's name, age, gender, occupation, certificate number, membership number, etc. as each identification item in the personnel identification data set; then obtain the data to be analyzed from the big data platform through each identification item in the personnel identification data set, such as retrieving the historical information resource acquisition record of the person based on name, age, number, etc. (reading books, watching videos, searching, etc.); the analysis module analyzes the data to be analyzed to determine the information resources of interest or demand to the user and recommends them through the output module.

[0064] In addition, the digital cultural station system based on the cloud reading platform of the present invention also includes:

[0065] Resource access module, used to access resources from third-party platforms;

[0066] Cloud service module, used to provide various cloud storage, cloud computing and other services;

[0067] User management module, used to manage users;

[0068] Among them, the user management module includes:

[0069] The electronic borrowing card management unit is used to create, modify, and delete electronic borrowing cards. After the reader binds their mobile phone number, ID card, and reader card, an electronic borrowing card is automatically generated. With the electronic borrowing card, the reader can borrow all electronic resources for free. The reader card is connected to the library management system, and the interface is used to determine whether the reader card is valid.

[0070] The activity management unit manages the registration records of readers' activities. Including reader registration record query, registration confirmation, etc. The administrator can publish activities through the PC background. When the administrator publishes an activity, he needs to provide information such as the activity name, activity time, specific details of the activity, and activity pictures, and select the list of books to be read for the activity in the library. Reading activities provide functions such as "Wonderful Activities" on the homepage, activity list, and activity details page. The mobile homepage provides the "Wonderful Activities" column to display the latest activities. The activity list page displays information such as the activity name, activity time, activity details, and activity pictures. The activity details page displays information such as the activity name, activity time, activity details, activity pictures, activity book list, and activity participants. If users need to participate in the activity, they can click the "I want to participate" button on the activity details page and enter their user name and mobile phone number to participate in the activity. Activity report: After the event is over, the administrator will create a specific activity report page in the background, or link to the report page of other media. Upload photos, videos, and activity results related to the event for storage. Activity statistics: The system automatically generates multi-dimensional statistics based on activity data, and provides annual and monthly activity reports: number of activity sessions, activity time, number of participants, number of registrants, activity funds, and activity crowds.

[0071] The theme book list management unit is used to manage theme book lists; electronic resources on the same topic are collected and displayed to readers, and theme book lists can be formed according to festivals, current events, etc. It supports the integration of all digital resources on the platform.

[0072] Example 2

[0073] The embodiment of the present invention provides a digital cultural station system based on a cloud reading platform, including:

[0074] An identification module, used to obtain identification information;

[0075] An identification building module is used to process the identification information and obtain a personnel identification data set corresponding to the personnel;

[0076] A data acquisition module is used to acquire the data to be analyzed from the big data platform based on the personnel identification data set;

[0077] An analysis module is used to analyze the data to be analyzed and obtain recommended data;

[0078] Output module, used to output recommendation data.

[0079] The identification module obtains identification information, including:

[0080] The identification information is obtained by analyzing the images taken by the image acquisition device arranged at the preset first position in the venue; the first position includes: above the venue entrance, in each reading box arranged at the venue entrance, and above each bar counter arranged in the rest area in the venue;

[0081] and / or,

[0082] The identification information is obtained through the identity recognition device configured at the preset second position in the venue. The second position includes: the entrance side of the venue, each reading box configured at the entrance of the venue, and each bar counter configured in the rest area of ​​the venue;

[0083] The identity recognition device includes: a fingerprint recognition device, a touch screen, an RFID card reader, an input and display module, or one or more combinations thereof.

[0084] Among them, the output module outputs the recommended data and performs the following operations:

[0085] The recommended data is displayed on a display screen at a preset third position in the venue; the third position includes: the venue entrance side, each reading box arranged at the venue entrance, and each bar counter arranged in the rest area in the venue; the display screen can be a touch screen.

[0086] and / or,

[0087] The recommendation data is output to the mobile terminal through a communication connection with the user's mobile terminal.

[0088] Example 3

[0089] Based on Example 1 or 2, the identification construction module of the system provided in this embodiment processes the identification information to obtain a personnel identification data set corresponding to the personnel, including:

[0090] When the identification information is an image, the age, gender, and occupation of the person in the image are analyzed. Identifying age and gender from images is an existing mature technology, and no further explanation is given. Occupation identification mainly depends on the clothing of the person in the image. For example, people wearing work clothes can be judged as having different occupations according to the different types of work clothes. Image identification is obtained through an image acquisition device.

[0091] Based on the analysis results, a personnel identification data set is constructed; that is, each data in the personnel identification data set corresponds to the age, gender, and occupation of the personnel;

[0092] When the identification information is pre-stored identity information, the pre-built and stored personnel identification data set is directly retrieved from the storage module; the identity information is obtained through the identity recognition device or the user's mobile terminal input; the pre-stored identity information is for the registered users of this system, and the personnel identification data set is constructed by the user's registration data and the search, viewing and other operations analysis during the user registration and use process; the personnel identification data set needs to be updated to ensure the accuracy of subsequent analysis and recommendation, and the update can be done by scheduled update or real-time update;

[0093] The personnel identification data set stored in the storage module is constructed based on the name, age, gender, occupation, certificate number, and resume analysis in the identity information. The resume includes education experience, work experience, etc.

[0094] The data acquisition module obtains the data to be analyzed from the big data platform based on the personnel identification data set, including:

[0095] Parse the personnel identification data set, obtain each identification parameter, and combine all identification parameters to construct search terms;

[0096] Based on the search terms, retrieve the search data from the big data platform;

[0097] When the amount of retrieved data is less than or equal to a preset amount (for example, any value between 100 and 100), the search terms are reduced, and then the search is performed again from the big data platform until the amount of retrieved data is greater than the preset amount; the retrieved data is integrated into the data to be analyzed;

[0098] The order of narrowing down the search terms is as follows:

[0099] First, the identification parameters are deleted one at a time in the ascending order of the preset weights corresponding to the identification parameters, and then the number of deleted identification parameters is gradually increased.

[0100] The more data a search term contains, the fewer and more accurate the search results are; therefore, when the search terms constructed by all the identification parameters are searched, the number of results may be small and fail to meet the analysis requirements. In theory, the larger the amount of data, the closer the analysis results are to the actual situation; therefore, it is necessary to increase the data obtained by the search. In this embodiment, by configuring the corresponding associated weights for each identification parameter in advance, and then reducing one identification parameter based on the weight, the search term obtained in this way will retrieve more data; if, after reducing one identification parameter, the search result still cannot meet the requirements, the number of reduced identification parameters will be increased in turn to obtain more search terms until the amount of data meets the requirements; wherein, when configuring the weights in advance, the weights are configured according to the importance of each identification parameter to the analysis, and the more important the identification parameter is, the greater the weight configured; for example: in the analysis, the analysis guidance significance of the certificate number is greater than that of the name, on this basis, when configuring the weights, the weight corresponding to the certificate number is greater than the weight corresponding to the name; in addition, when calculating the total number of data, it is necessary to eliminate the same data first to avoid repeated counting; when eliminating the same data, its search record is not eliminated;

[0101] The analysis module analyzes the data to be analyzed and obtains recommended data, including:

[0102] Count the objects corresponding to the data to be analyzed and form a list to be recommended;

[0103] According to the unique identification number of each object in the recommended form, the data to be analyzed are grouped to obtain a plurality of grouped data;

[0104] Determine the first recommended value according to the number of data in each group of data; specifically, the first recommended value determination table may be configured, in which the number of data in the first recommended value determination table is associated with the first recommended value in a one-to-one correspondence;

[0105] The second recommended value is determined according to the order of each data in each grouped data in the search results and the weight of the search terms used during the search; the specific process of determining the second recommended value is as follows: according to the preset order scoring table, the search results of each order are scored to obtain the score value; the sum of the product of the score value of each data in each grouped data corresponding to each search and the weight is calculated; then the calculation results are sorted, and the sum of the values ​​of the first preset number of digits (any one of 3 to 10) is extracted as the second recommended value;

[0106] According to the sum of the first recommendation value and the second recommendation value, the objects in the recommendation table are sorted, and the objects ranked in the first preset position (any one of 3 to 10) are taken as the recommended objects in the recommendation data;

[0107] The objects include: physical books, video materials, e-book materials, audio materials, or a combination of one or more of them. The big data platform of this system contains data about objects, such as: XXX watched XXX at XX time, XXX borrowed XXX at XX time, etc. The data collected on the big data platform can be comprehensively analyzed to make accurate recommendations for users.

[0108] Example 4

[0109] The embodiment of the present invention provides a digital cultural station system based on a cloud reading platform, including:

[0110] An identification module, used to obtain identification information;

[0111] An identification building module is used to process the identification information and obtain a personnel identification data set corresponding to the personnel;

[0112] A data acquisition module is used to acquire the data to be analyzed from the big data platform based on the personnel identification data set;

[0113] An analysis module is used to analyze the data to be analyzed and obtain recommended data;

[0114] Output module, used to output recommendation data.

[0115] The identification module obtains identification information, including:

[0116] Acquire identification information by analyzing an image captured by an image acquisition device disposed at a preset first position in the museum;

[0117] and / or,

[0118] The identification information is obtained through an identity recognition device configured at a preset second position in the library.

[0119] The identity recognition device includes: a fingerprint recognition device, a touch screen, an RFID card reader, an input and display module, or one or more combinations thereof.

[0120] Among them, the output module outputs the recommended data and performs the following operations:

[0121] Displaying the recommended data via a display screen arranged at a preset third position in the museum;

[0122] and / or,

[0123] The recommendation data is output to the mobile terminal through a communication connection with the user's mobile terminal.

[0124] In order to achieve intelligent guidance for readers, Figure 2 As shown, the digital cultural station system based on the cloud reading platform provided in this embodiment also includes:

[0125] The trigger module 6 determines whether a person has entered a pre-configured trigger area by analyzing an image captured by an image acquisition module at a preset fourth position in the museum; if yes, the trigger module 6 triggers the boot program to be entered;

[0126] The guidance analysis module 7 generates guidance tasks by analyzing the personnel entering the trigger area;

[0127] The guidance instruction module 8 is used to execute the guidance task.

[0128] The guidance analysis module 7 analyzes the personnel entering the trigger area and generates guidance tasks, including:

[0129] Perform identity recognition based on the regional image of the person entering the trigger area in the image;

[0130] When an identity is identified, a guidance task is generated according to the location of the region of interest associated with the identity;

[0131] When the identity is not recognized, feature extraction is performed on the regional image to obtain a feature set;

[0132] Retrieving the interest set associated with the feature set in the preset analysis library;

[0133] Based on the interest set, query the area configuration table within the tube to determine the target location;

[0134] Generate a guidance task with the trigger area as the starting point and the target location as the end point.

[0135] The guidance and indication module includes: an array of spotlights arranged in the hall; the spotlights are configured to project guidance signs with arrows onto the ground. In addition, the guidance and indication module can also be configured as a device that can project guidance signs such as arrows onto the ground inside the hall, for example: a sign projection device arranged on the side wall inside the hall, the sign projection device includes: a dual-axis gimbal and a spotlight arranged on the dual-axis gimbal; this design can achieve tracking projection;

[0136] The digital cultural station system based on the cloud reading platform provided in this embodiment realizes intelligent guidance by configuring a guidance function in libraries and other institutions, making it more convenient for users to accurately find locations of interest.

[0137] A specific configuration scenario is as follows: Taking the library as an example, a trigger area is set on the ground on both sides of the entrance and exit of the library. The trigger area is marked by a logo, which can be a circle with a green background and a "smart guidance trigger area" in the center; image acquisition devices are set on the walls on both sides of the entrance to shoot the trigger area; when a person enters the library and stands on the trigger area, the smart guidance is triggered; the person is identified and guided based on the identified information; so that people can find the books and materials they need or are interested in more conveniently;

[0138] However, in real life, there may be situations where adults bring children into the library. In this case, how to correctly identify the situation and provide correct guidance for the situation, the guidance analysis module of this embodiment further performs the following operations:

[0139] Obtain the first image of the person when he / she enters the museum; the image acquisition device configured on the upper side of the entrance and exit to photograph the person entering and exiting the entrance and exit may be used to obtain the first image of the person when he / she enters the museum;

[0140] Analyzing the first image, determining associations between persons, and constructing person association groups;

[0141] Analyze the information of each person in the personnel association group and determine the target object;

[0142] When any person in the personnel association group enters the trigger area, a guidance task is generated according to the target object;

[0143] The guidance analysis module analyzes the people entering the museum to determine whether they are traveling together, and triggers the trigger without the target object standing in the trigger area; the main thing is to analyze the associated people from the first image; how to accurately analyze the associated people is the basis for ensuring accurate and effective judgment of the associated analysis trigger; in order to accurately analyze the associated people, the first image is analyzed to determine the association between the people, and the person association group is constructed, including:

[0144] Performing contour recognition on the first image to identify contour areas of each person;

[0145] When the number of personnel contour areas is greater than the preset number (any one from 3 to 10), personnel association analysis will not be performed; when too many people enter at the same time, it will inevitably cause the contour areas to overlap and the related personnel will be separated by other personnel. Therefore, when there are too many people, there will definitely be errors in the analysis of related personnel. Therefore, when there are too many people, no analysis will be performed to avoid the occurrence of erroneous analysis;

[0146] When the number of personnel contour areas is less than or equal to a preset number (any one of 3 to 10); determining the distance between each personnel contour area, the image of the contour area, and the area overlap; grouping the personnel in pairs, and using the distance between the personnel contour areas corresponding to the personnel, the image of the contour area, and the area overlap as analysis data; extracting features from the analysis data to obtain feature parameters; constructing an analysis data set based on the feature parameters; retrieving corresponding analysis results from a pre-configured analysis library based on the analysis data set; parsing the analysis results to determine whether there is a correlation;

[0147] Based on the two-way related personnel, a personnel association group is constructed; that is, any personnel in the personnel association group must have a related personnel, for example: A is associated with B; B is associated with C; in this case, A, B, and C are all members of the personnel association group;

[0148] Among them, the feature parameters obtained after feature extraction of the analysis data include: feature parameters representing distance conditions such as the minimum value of the distance, the change of the distance, the average value of the distance, feature parameters representing information such as the gender and age of the person in the image of the contour area, feature parameters representing the overlapping position of the area, the size of the overlapping area, etc., and feature parameters representing the time when the two people's sight lines fall on each other; the analysis library is pre-configured, and the analysis results and the analysis data sets in the analysis library are associated one by one; the feature parameters used are all analyzed and used, and the factors such as the distance, information, overlap and sight of the people are comprehensively analyzed to ensure the accuracy of the association determination; for example, without considering other aspects, the characteristics of the distance In the extreme case represented by the feature parameter, when the distance between two people is always less than the first distance threshold (10cm), they can be considered to be associated; when the distance between the two keeps decreasing and the final distance is less than the second distance threshold (30cm), they can also be considered to be associated; the feature parameters representing the gender, age and other information of the people in the image of the contour area are used to determine the first distance threshold and the second distance threshold during the analysis process to assist in the judgment of the distance analysis; in addition, the feature parameters representing the overlapping position of the area, the size of the overlapping area, etc., and the feature parameters representing the time when the two people's sight lines fall on each other are all analyses of the behavior between the people, which can be used to further judge whether the two are associated;

[0149] Analyze the information of each person in the personnel association group and determine the target object, including:

[0150] Extract characteristic parameters of information such as gender and age of people in the image representing the contour area in the analysis data set to construct a target analysis set;

[0151] Based on the target analysis set, the corresponding target analysis results are retrieved from the preset target analysis library; the target analysis library is a pre-analysis configuration, in which the target analysis results are associated with the target analysis set in a one-to-one correspondence; the target analysis results indicate which of the various personnel corresponding to the input target analysis set is the target object; during construction, for example, if a father or mother brings a child into the museum, the child can be configured as the target object; if there is a man and a woman with a small age difference, the woman can be the target object;

[0152] Since the association analysis is constructed by collecting public samples for analysis, for special cases (the determination of the target object does not match some special cases), the personnel can be actively re-triggered to transform the triggering personnel as the guiding object; the specific guiding analysis module also performs the following operations:

[0153] When the guidance instruction module performs the guidance task, the second image including the trigger area is analyzed; when the trigger person moves out of the trigger area and re-enters within a preset time (any one of 4 seconds to 10 seconds), the guidance task is regenerated with the trigger person as the guidance object;

[0154] In order to enable the triggering personnel to determine whether the guidance task meets their needs, so that they can actively trigger the change of guidance objects, relevant information of the target object (name, age, gender, etc.) needs to be added to the guidance sign;

[0155] In addition, in order to avoid the scenario where the same person is frequently triggered, for example, a child finds the performance after being triggered interesting and frequently triggers the guidance, the guidance analysis module also performs the following operations:

[0156] When the same person enters the trigger area multiple times (more than 2 times) within a preset time period (30 seconds to one minute), he / she will be placed in the blacklist; no guidance task will be generated for the person in the blacklist who enters the trigger area.

[0157] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A digital cultural station system based on a cloud reading platform, characterized in that: include: An identification module, used to obtain identification information; An identification building module is used to process the identification information and obtain a personnel identification data set corresponding to the personnel; A data acquisition module is used to acquire the data to be analyzed from the big data platform based on the personnel identification data set; An analysis module is used to analyze the data to be analyzed and obtain recommended data; Output module, used to output recommendation data.

2. The digital cultural station system based on the cloud reading platform as claimed in claim 1, characterized in that: The identification module obtains identification information, including: Acquire identification information by analyzing an image captured by an image acquisition device disposed at a preset first position in the museum; and / or, The identification information is obtained through an identity recognition device configured at a preset second position in the library.

3. The digital cultural station system based on the cloud reading platform as claimed in claim 2, characterized in that: The identity recognition device includes: a fingerprint recognition device, a touch screen, an RFID card reader, an input and display module, or one or more combinations thereof.

4. The digital cultural station system based on the cloud reading platform as claimed in claim 1, characterized in that: The output module outputs the recommended data and performs the following operations: Displaying the recommended data via a display screen arranged at a preset third position in the museum; and / or, The recommendation data is output to the mobile terminal through a communication connection with the user's mobile terminal.

5. The digital cultural station system based on the cloud reading platform as claimed in claim 1, characterized in that: The identification building module processes the identification information and obtains the personnel identification data set corresponding to the personnel, including: When the identification information is an image, analyze the age, gender, and occupation of the person in the image; Based on the analysis results, a personnel identification dataset is constructed; When the identification information is pre-stored identity information, the pre-built and stored personnel identification data set is directly retrieved from the storage module; Among them, the personnel identification data set stored in the storage module is constructed based on the name, age, gender, occupation, certificate number, and resume analysis in the identity information.

6. The digital cultural station system based on the cloud reading platform as claimed in claim 1, characterized in that: The data acquisition module obtains the data to be analyzed from the big data platform based on the personnel identification data set, including: Parse the personnel identification data set, obtain each identification parameter, and combine all identification parameters to construct search terms; Based on the search terms, retrieve the search data from the big data platform; When the amount of retrieved data is less than or equal to the preset amount, the search terms are reduced, and then the search is performed again from the big data platform until the amount of retrieved data is greater than the preset amount; Integrate the retrieved data into data to be analyzed; The order of narrowing down the search terms is as follows: First, the identification parameters are deleted one at a time in the ascending order of the preset weights corresponding to the identification parameters, and then the number of deleted identification parameters is gradually increased.

7. The digital cultural station system based on the cloud reading platform as claimed in claim 1, characterized in that: The analysis module analyzes the data to be analyzed and obtains recommended data, including: Count the objects corresponding to the data to be analyzed and form a list to be recommended; According to the unique identification number of each object in the recommended form, the data to be analyzed are grouped to obtain a plurality of grouped data; Determine a first recommended value according to the number of data in each group of data; Determine the second recommendation value according to the order of each data in each group of data in the search result and the weight of the search term used during the search; According to the sum of the first recommendation value and the second recommendation value, the objects in the recommendation table are sorted, and the objects ranked in the front by a preset number of places are used as the recommended objects in the recommendation data; The objects include: physical books, video materials, e-book materials, audio materials, or a combination of one or more of these.

8. The digital cultural station system based on the cloud reading platform as claimed in claim 1, characterized in that: Also includes: The trigger module determines whether a person has entered a pre-configured trigger area by analyzing an image captured by an image acquisition module at a preset fourth position in the museum; if yes, the trigger module triggers the entry into the boot program; The guidance analysis module generates guidance tasks by analyzing the people entering the trigger area; The guidance instruction module is used to execute guidance tasks.

9. The digital cultural station system based on the cloud reading platform as claimed in claim 8, characterized in that: The guidance analysis module analyzes the personnel entering the trigger area and generates guidance tasks, including: Perform identity recognition based on the regional image of the person entering the trigger area in the image; When an identity is identified, a guidance task is generated according to the location of the region of interest associated with the identity; When the identity is not recognized, feature extraction is performed on the regional image to obtain a feature set; Retrieving the interest set associated with the feature set in the preset analysis library; Based on the interest set, query the area configuration table within the tube to determine the target location; Generate a guidance task with the trigger area as the starting point and the target location as the end point.

10. The digital cultural station system based on the cloud reading platform as claimed in claim 8, characterized in that: The guidance and indication module includes: an array of spotlights arranged in the hall; the spotlights are configured to project guidance signs with arrows onto the ground.

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