CN116052341B - Intelligent file cabinet based on multidimensional data processing - Google Patents
Intelligent file cabinet based on multidimensional data processing Download PDFInfo
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/10—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
- G07F17/12—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/93—Document management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
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Abstract
The invention discloses an intelligent file cabinet based on multidimensional data processing, which is characterized by comprising a cabinet body and a plurality of wearable devices, wherein the wearable devices are used for carrying by staff, a plurality of accommodating cavities are arranged in the cabinet body, an electronic lock is arranged at an opening of each accommodating cavity, and a main control module, a page turning scanning module, a biological identification module and a wireless communication module are also arranged on the cabinet body; the intelligent file cabinet is configured with a file storage strategy, a file fetching strategy and an information query strategy. The file cabinet can judge the confidentiality degree of the file when the file is stored, and the judgment process is not interfered by artificial subjective factors; judging whether the file needs to be kept secret for the staff when the staff wants to take out the file, so that accurate management when the secret file is taken out is realized; and the superior leader can judge the development direction of staff using the file cabinet more comprehensively and accurately through the file cabinet.
Description
Technical Field
The invention relates to the field of file cabinets, in particular to an intelligent file cabinet based on multidimensional data processing.
Background
The filing cabinet is used as a container for storing files, and is widely applied in life. Some secret files and common files generated in the management process are put into a file cabinet by a medium-sized and large-sized enterprise. The common practice is to set up secret filing cabinet and ordinary filing cabinet respectively, secret filing cabinet has the function of locking. The common files are placed in a common file cabinet, so that most staff can access the files. The confidential files are placed in the confidential file cabinet, and only a preselected person with unlocking authority can access the files.
However, whether the document is a document requiring confidentiality is completely judged by a person who stores the document, and there is a possibility that the document requiring confidentiality is stored as a normal document, thereby causing disclosure.
The security document is a security document for different persons, such as a new product recipe document developed by a research and development department of an enterprise, but is not a security document for research and development staff of the research and development department. The existing confidential filing cabinet cannot distinguish staff needing to be confidential for each file, so that management of the confidential files is disordered.
The superior leader of the medium-sized and large-sized enterprises needs to judge the development direction of the subordinate staff regularly, and particularly the development direction of the subordinate staff newly entering the enterprise can be adjusted according to actual conditions. The existing filing cabinet is only used for managing files, has a single function, and cannot provide basis when the upper-level leader judges the development direction of lower-level staff.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide an intelligent file cabinet based on multidimensional data processing, which can judge the confidentiality degree of a file when the file is stored, and the judgment process is not interfered by artificial subjective factors; judging whether the file needs to be kept secret for the staff when the staff wants to take out the file, so that accurate management when the secret file is taken out is realized; the superior leader can judge the development direction of staff using the file cabinet more comprehensively and accurately through the file cabinet.
In order to achieve the above purpose, the present invention provides the following technical solutions: the intelligent file cabinet based on multidimensional data processing comprises a cabinet body and a plurality of wearable devices, wherein the wearable devices are used for being carried by staff, a plurality of accommodating cavities are arranged in the cabinet body, an electronic lock is arranged at an opening of each accommodating cavity, and a main control module, a page turning scanning module, a biological identification module and a wireless communication module are further arranged on the cabinet body;
the intelligent file cabinet is configured with a file storage strategy, and the file storage strategy comprises the following steps of
Step A100, the page turning scanning module scans the file to be stored page by page to obtain a scanning file and sends the scanning file to the main control module;
Step A200, the main control module is configured with a plurality of main classes, a plurality of branch classes are configured under each main class, a plurality of secret classes are configured under each branch class, the main control module performs character recognition on a received scanning file to obtain a recognition text, the main control module compares the recognition text with preset main class keywords to obtain main class comparison data, and the main class comparison data is used for matching the corresponding main class with the scanning file according to the main class comparison data;
step A300, each main class is configured with a plurality of branch class keywords, the main control module compares the identification text with the classification keywords configured by the main class to obtain classification comparison data, and the scanning file is matched with the corresponding classification under the main class according to the classification comparison data;
step A400, each classification is configured with a plurality of security keywords, the main control module compares the identification text with the security keywords configured by the classification to obtain security comparison data, and the security comparison data is used for matching the corresponding security of the scanned file under the classification according to the security comparison data;
step A500, the main control module controls any electronic lock of the accommodating cavity which does not store the file to unlock, and stores the serial number of the accommodating cavity, the scanned file, the main class, the branch class and the security class matched with the scanned file as file storage information;
The intelligent file cabinet is configured with a file fetching strategy, and the file fetching strategy comprises the following steps of
Step B100, when the master control module receives a file taking-out instruction of an employee, acquiring file storage information of a file to be taken out, and sending an identification instruction to the biological identification module;
step B200, the biological recognition module recognizes the biological characteristics of staff after receiving the recognition instruction and sends the biological characteristics to the main control module;
step B300, configuring identity information of a plurality of staff in the main control module, wherein the identity information comprises biological characteristics, work responsibilities and job classes of the staff, numbers of wearable devices of superior leaders and numbers of wearable devices of all subordinate staff, each work responsibilities corresponds to at least one branch class, the job classes correspond to at least one secret class, the main control module obtains the staff identity information by taking the received biological characteristics as indexes, compares the work responsibilities of the staff with the branch class of the file to be obtained, and if the branch class corresponds to the work responsibilities, step B400 is entered; if the branch class does not correspond to the job responsibilities, entering a step B600;
Step B400, the master control module compares the job class of the staff with the security class of the file to be fetched; if the security class corresponds to the job class, entering a step B500; if the security class does not correspond to the job class, entering a step B600;
step B500, the main control module controls unlocking of the electronic lock of the accommodating cavity storing the file to be fetched according to the number of the accommodating cavity in the file storage information;
step B600, the main control module sends unlocking request information to the corresponding wearable equipment through the wireless communication module according to the serial numbers of the wearable equipment of the upper level leader in the identity information, wherein the unlocking request information comprises the identity information of staff and file storage information of the file to be fetched;
step B700, after receiving an unlocking permission instruction of the wearable device of the superior leader through the wireless communication module, the main control module increases the work responsibility corresponding to the branch class of the substituted file to the original work responsibility, increases the job class corresponding to the secret class of the substituted file to the job class of the newly increased work responsibility, and enters step B500; the master control module receives an unlocking refusing instruction of the wearable device of the superior leader through the wireless communication module, and then ends the file taking strategy;
The intelligent file cabinet is configured with an information query strategy, the information query strategy comprises that when the main control module receives a lower-level employee information query instruction sent by the wearable device through the wireless communication module, the number of the wearable device sending the lower-level employee information query instruction is taken as an index, the number of the wearable device of the lower-level employee is obtained, the number of the wearable device of the lower-level employee is taken as an index, identity information of the lower-level employee is obtained, and the identity information is sent to the wearable device sending the lower-level employee information query instruction through the wireless communication module.
As a further improvement of the present invention, the main control module in the step A200 compares the identification text with a preset main class keyword to obtain main class comparison data, and the main class matching corresponding to the scanned document according to the main class comparison data specifically includes:
the main control module is configured with a main class keyword library, each main class is configured with a main class keyword library, the main class keyword library and the main class keyword library are both configured with the main class keywords, the main class keywords in each main class keyword library are not completely identical, the main class keyword library is a set of each main class keyword library, the main control module compares the identification text with the main class keywords in the main class keyword library to obtain main class pair data, the main class pair data is the occurrence times of each main class keyword in the identification text, and the main control module calculates main class matching values of each main class according to the main class keywords and the main class pair data in each main class keyword library through a preset main class matching algorithm and matches the corresponding main class of the scanning file according to the main class matching values, wherein the main class keywords are the occurrence times of the main class keywords in the identification text.
As a further improvement of the present invention, the identification text includes a cover identification text and a text identification text, the main pair data includes a cover main pair data and a text main pair data, the cover main pair data is the number of times each of the main class keywords appears in the cover identification text, the text main pair data is the number of times each of the main class keywords appears in the text identification text, the main class matching algorithm includes a cover main class matching algorithm and a full text main class matching algorithm, and the main class matching value includes a cover main class matching value and a full text main class matching value;
the main control module calculates cover main class matching values of the main classes through the cover main class matching algorithm, and when the difference between the maximum value and the next largest value of the cover main class matching values is larger than a preset critical difference value, the main class corresponding to the maximum value of the cover main class matching values is used as the main class corresponding to the scanning file; when the difference between the maximum value and the next largest value of the cover main class matching values is not larger than a preset critical difference, the main control module obtains the page number of the scanned file, calculates the full-text main class matching values of the main classes through the full-text main class matching algorithm, and takes the main class corresponding to the maximum value of the full-text main class matching values as the main class corresponding to the scanned file.
As a further improvement of the present invention, the cover main class matching algorithm is configured to
wherein ,a cover main class matching value, n is the number of main class keywords in the main class keyword sub-library,、/>the number of times of occurrence of each main category keyword in the cover identification text is respectively +.>、/>All are preset weights, s is a constant greater than 1;
the full text main class matching algorithm is configured as follows
wherein ,match value for full text main class, +.>、/>The times of each main category keyword in the text recognition text are respectively counted, and t is the text recognition textScanning the page number of the file, ">、/>K are preset weights, and k>1。
As a further improvement of the present invention, in the step a300, the main control module compares the identification text with the classification keywords configured by the main class to obtain classification comparison data, and matches the scan file with the classification corresponding to the main class according to the classification comparison data, where the classification is specifically:
the main class is configured with branch keyword libraries, each branch is configured with branch keyword libraries, the branch keyword libraries and the branch keyword libraries are respectively configured with the branch keywords, the branch keywords in each branch keyword library are not completely the same, the branch keyword libraries are the collection of each branch keyword library, the main control module compares the identification text with the branch keywords in the branch keyword libraries to obtain branch comparison data, the branch comparison data are the times of occurrence of each branch keyword in the identification text, and the main control module calculates the branch matching value of each branch according to the branch keywords in each branch keyword library and the branch comparison data by a preset branch matching algorithm and matches the corresponding branch of the scanning file according to the size of the branch matching value, wherein the branch matching data are the times of occurrence of the branch keywords in the identification text.
As a further improvement of the present invention, the main control module in the step a400 compares the identification text with the classified keyword to obtain security comparison data, and matches the security comparison data with the security corresponding to the scanned document under the classification according to the security comparison data specifically includes:
the security comparison data are the times of occurrence of each security keyword in the identification text, the main control module obtains the number of pages of the scanned file, the main control module calculates a security statistics value according to each security keyword, the security comparison data and the number of pages through a preset security matching algorithm, and matches the scanned file to the corresponding security according to the size of the security statistics value, wherein the times of occurrence of the security keywords in the identification text positively correlates with the security statistics value, and the number of pages inversely correlates with the security statistics value.
As a further improvement of the invention, the electronic locks are all connected with the infrared modules, after the electronic locks are closed, the infrared modules scan the accommodating cavities to obtain scanning information and send the scanning information to the main control module, and the main control module confirms whether the corresponding accommodating cavities store files or not according to the scanning information and stores results.
As a further improvement of the invention, the file storage strategy further comprises a step A600, wherein the main control module receives the scanning information of the accommodating cavity unlocked by the electronic lock in the step A500, and deletes the file storage information stored in the step A500 when the accommodating cavity is confirmed to not store the file.
As a further improvement of the present invention, the file taking policy further includes a step B800, where the main control module receives the scanning information of the accommodating cavity unlocked by the electronic lock in the step B500, and deletes the file storage information of the file to be taken in the step B100 when it is confirmed that the file is not stored in the accommodating cavity.
As a further improvement of the present invention, the security level includes a high-security level, the scanned file matched to the high-security level is a file with high security requirement, in the step B300, the main control module judges whether the security level is the high-security level through the file storage information, if yes, before entering the next step, the main control module sends a high-security level prompt and a pick-up verification instruction to the wearable equipment of the staff through the wireless communication module, and after receiving a confirm pick-up instruction of the wearable equipment within a preset time interval, the main control module enters the next step; and if the confirmation fetching instruction of the wearable equipment is not received within a preset time interval, ending the file fetching strategy.
The invention has the beneficial effects that:
through the file storage strategy, the file cabinet automatically determines the security level of the files to be stored when the files are stored each time, unifies the security level standard, eliminates the interference of artificial subjective factors, and enables the judgment of the security level of all the files stored in the file cabinet to be more efficient and accurate. And the main class and the branch class are arranged to realize the step-by-step classification of the files to be stored, so that the classification of the files to be stored is more accurate. The files to be stored are classified and then the security level is determined, so that the influence of different main classes and branch classes on the security level determination is eliminated, and the security level determination of the files to be stored is more accurate and scientific. Meanwhile, the determination of the main class, the branch class and the security class provides a judging basis for whether the file to be fetched can be fetched by the corresponding staff in the file fetching strategy.
Through the file taking-out strategy, when an employee wants to take out the file to be taken out, the main control module judges whether the file to be taken out needs to be kept secret to the employee through the work responsibility and the job level of the employee and the branch class and the security level of the file to be taken out, and when the file to be taken out needs to be kept secret, the upper-level lead of the employee judges whether the employee takes out the file to be taken out, so that accurate and orderly management during taking out of the secret file is realized. Meanwhile, the master control module can update the work responsibility and the job level of the staff in real time through the action of taking out the file of the staff, so that the upper leader can inquire more accurate identity information of the lower staff in the information inquiry strategy.
Through the information inquiry strategy, when the superior leader needs to judge the development direction of the subordinate staff, the identity information of the subordinate staff can be acquired through the wearable equipment, the identity information comprises the work responsibilities and the job levels of the staff updated in real time, and the superior leader can judge the development direction of the staff more comprehensively and accurately according to the current work responsibilities and the job levels of the staff and the changes of the work responsibilities and the job levels.
Drawings
FIG. 1 is a schematic diagram of a frame of the present application;
FIG. 2 is a flow chart of a file storage policy;
FIG. 3 is a flow chart of a file retrieval strategy.
Reference numerals: 1. a cabinet body; 2. a wearable device; 3. an electronic lock; 4. a main control module; 5. a page turning scanning module; 6. a biometric module; 7. a wireless communication module; 8. an infrared module.
Detailed Description
It is noted that all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs unless otherwise indicated. The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
Referring to fig. 1 to 3, an intelligent filing cabinet based on multidimensional data processing in this embodiment includes a cabinet body 1 and a plurality of wearable devices 2, the wearable devices 2 are used for carrying by staff, a plurality of accommodating cavities are arranged in the cabinet body 1, an electronic lock 3 is arranged at an opening of each accommodating cavity, and a main control module 4, a page turning scanning module 5, a biological recognition module 6 and a wireless communication module 7 are further arranged on the cabinet body 1;
specifically, the wearable device 2 is a device that can be carried by an employee and can interact with the wireless communication module 7, and may specifically be a smart phone, a smart watch, or the like. The electronic lock 3 can be arranged on a cabinet door of the cabinet body 1, the main control module 4 controls unlocking, after unlocking, the cabinet door can be opened, and in order to facilitate staff to find the cabinet door which can be opened, a pop-up structure can be arranged on the cabinet door, so that after the electronic lock 3 is unlocked, the cabinet door automatically pops open. When the cabinet door is closed, the electronic lock 3 is automatically closed, and after the electronic lock is closed, the cabinet door cannot be opened. The page turning scanning module 5 has the functions of automatic page turning and scanning, the main body of the page turning scanning module 5 can be arranged in the cabinet body 1 to protect the main body of the page turning scanning module 5, the page turning scanning module 5 can be also arranged in a split mode with the cabinet body 1, and the page turning scanning module 5 and the cabinet body are connected in a wireless or wired mode to realize information interaction. The page turning scanning module 5 may be a full-automatic page turning scanner of aerial (Beijing) image technology limited company. The biometric module 6 is used for identifying the identity of the employee, and may be a device employing a face recognition technique, a fingerprint recognition technique or a human eye recognition technique.
The intelligent file cabinet is configured with file storage strategies, and the file storage strategies comprise
And step A100, the page turning scanning module 5 scans the file to be stored page by page to obtain a scanned file and sends the scanned file to the main control module 4.
Specifically, after the employee puts the file in the page turning scanning module 5, the page turning scanning module 5 starts scanning. After the scanning is finished, the staff can take the substitute file from the page turning scanning module 5.
Step A200, the main control module 4 is configured with a plurality of main classes, a plurality of sub-classes are configured under each main class, a plurality of secret classes are configured under each sub-class, the main control module 4 performs character recognition on the received scanning file to obtain a recognition text, the main control module 4 compares the recognition text with preset main class keywords to obtain main class comparison data, and the main classes corresponding to the scanning file are matched according to the main class comparison data.
Specifically, the main class is preliminary classification of the file class, and the branch class is refined classification of the file class again under the main class. The security class is a classification of the security level of the file under the branch class. For example, for a manufacturing enterprise, a plurality of file materials such as financial reports, labor contracts, sales contracts, purchasing contracts, project acceptance files, design files, enterprise culture files and the like can be generated in production and management, and the main class is preliminary classification of the plurality of files, for example, the main class can be provided with a human major class, a marketing major class, a financial major class, a design major class, an administrative major class and the like. The branch class refines the main class, for example, the main class of supply and sales can be divided into a purchasing branch class, a selling branch class, an inventory branch class and the like. The security class is a classification of security level of the file under the branch class, for example, the security class may be classified into a no-security class, a low-security class, a medium-security class, and a high-security class.
The main control module 4 is configured with a main class keyword total library, each main class is configured with a main class keyword sub library, the main class keyword total library and the main class keyword sub libraries are both configured with main class keywords, the main class keywords in each main class keyword sub library are not identical, the main class keyword total library is a set of each main class keyword sub library, the main control module 4 compares the identification text with the main class keywords in the main class keyword total library to obtain main class pair data, the main class pair data is the number of times that each main class keyword appears in the identification text, and the main control module 4 calculates the main class matching value of each main class according to the main class keywords in each main class keyword sub library and the main class pair data through a preset main class matching algorithm and gives the main class corresponding to the scanned file according to the main class matching value, wherein the number of times that the main class keywords appear in the identification text is positively correlated with the main class matching value.
Specifically, the main class keywords are keywords that are beneficial to dividing different main classes, for example, the main class keywords of the supply and sales main class can be purchasing, selling, stock, etc. The main class keyword total library contains main class keywords of each main class keyword sub-library. Under the same main class, the keywords in the keyword sub-libraries of different main classes can be partially identical, but not completely identical. The number of times of occurrence of each main class keyword in the identification text can be obtained by identifying the main class keyword in the identification text, so that a main class matching value is calculated through a main class matching algorithm and the corresponding main class is matched with the scanned file. By adopting the main category keywords and the identification text, the primary classification of the files is realized, the classification modes are unified, and the classification is more accurate.
The identification text comprises a cover identification text and a text identification text, the main pair data comprise cover main pair data and text main pair data, the cover main pair data are the times of each main keyword in the cover identification text, the text main pair data are the times of each main keyword in the text identification text, the main matching algorithm comprises a cover main matching algorithm and a full text main matching algorithm, and the main matching value comprises a cover main matching value and a full text main matching value.
Specifically, the cover identification text is an identification text obtained by identifying the first page of the scanned file, and the text identification text is an identification text obtained by identifying other pages of the scanned file.
The main control module 4 calculates cover main class matching values of all main classes through a cover main class matching algorithm, and when the difference between the maximum value and the next largest value of the cover main class matching values is larger than a preset critical difference value, the main class corresponding to the maximum value of the cover main class matching values is used as the main class corresponding to the scanning file; when the difference between the maximum value and the next largest value of the cover main class matching values is not greater than the preset critical difference, the main control module 4 obtains the page number of the scanned file, calculates the full-text main class matching values of all main classes through a full-text main class matching algorithm, and takes the main class corresponding to the maximum value of the full-text main class matching values as the main class corresponding to the scanned file.
The cover main class matching algorithm is configured as follows
wherein ,for the matching value of the main class of the cover, n is the number of main class keywords in the main class keyword sub-library, and +.>、The number of times of each main category keyword in the cover identification text is respectively +.>、/>All are preset weights, s is a constant greater than 1;
the full text main class matching algorithm is configured as
wherein ,match value for full text main class, +.>、/>The number of times each main category keyword appears in the text recognition text, t is the number of pages of the scanned file,/and the like>、/>K are preset weights, and k>1。
Specifically, for example, when the keywords of the main category of the marketing main category are produced, sold, purchased, etc., and the keywords of the main category are produced, sold, purchased, etc., respectively appear 0 times, 2 times, 1 time in the cover identification text, and the weights corresponding to the keywords of the main category are 1.2, 1.5, 1.4, respectively, then0->2->1->1.2 @, @>1.5 @, @>1.4, the matching algorithm of the main class of the cover is carried into to calculate the matching value of the main class of the cover for marketing. For example, the matching values of the cover main class of the supply and sales main class, the finance main class and the design main class are respectively 15, 13 and 14.5, the maximum value is 15, the next maximum value is 14.5, the difference value between the two is 0.5, and if the preset critical difference value is 1, the difference value between the maximum value and the next maximum value is not larger than the critical difference value. And calculating full-text main class matching values of all main classes through a full-text main class matching algorithm, and taking the main class corresponding to the maximum value of the full-text main class matching values as the main class corresponding to the scanning file. Full text main class matching value calculating process and cover main class matching The calculation of the values is similar and will not be described in detail here. By distinguishing the cover identification text from the text identification text and determining the corresponding main class by the full-text main class matching value under the condition that the maximum value of the cover main class matching value is too close to the next maximum value, the main class can be determined more accurately.
And step A300, each main class is configured with a plurality of branch class keywords, the main control module 4 compares the identification text with the classification keywords configured by the main classes to obtain classification comparison data, and the scanning file is matched with the corresponding classification under the main class according to the classification comparison data.
The main class is configured with a branch keyword total library, each branch is configured with a branch keyword sub-library, the branch keyword total library and the branch keyword sub-libraries are respectively configured with branch keywords, the branch keywords in each branch keyword sub-library are not identical, the branch keyword total library is a collection of each branch keyword sub-library, the main control module 4 compares the recognition text with the branch keywords of the branch keyword total library to obtain branch analog pair data, the branch analog pair data are the times of occurrence of each branch keyword in the recognition text, and the main control module 4 calculates branch matching values of each branch according to the branch keywords in each branch keyword sub-library and the branch analog pair data through a preset branch matching algorithm and matches corresponding branches for a scanned file according to the size of the branch matching values, wherein the times of occurrence of the branch keywords in the recognition text are positively correlated with the branch matching values.
The branch matching algorithm can be configured as
wherein ,for branch matching value, ++>For the number of branch keywords in branch keyword sub-library, < ->、/>The number of times of each branch keyword in the identification text is respectively +.>、/>All are preset weights, and c is a constant greater than 1.
Specifically, for example, the main marketing class is classified into sales branch class, stock branch class, purchasing branch class, etc., wherein the keywords of the sales branch class can be sales, unit price, total amount, etc., and the branch matching value of the sales branch class can be calculated by substituting the times of occurrence of each branch keyword in the identification text into the branch matching algorithm. And sequentially calculating the classification matching values of all the branch classes under the supply and marketing main class, and finally taking the branch class with the largest classification matching value as the branch class corresponding to the scanning file.
Branch keywords of branch classes in different main classes often have partial same, if the branch classes are directly branched without dividing the main classes, the calculation result is easy to be distorted, and the branch classes which are finally matched with the scanned file are inaccurate. The method and the device realize step-by-step classification by dividing the main class into sub-branch classes, so that the classification of the files to be stored is more accurate.
And step A400, each classification is configured with a plurality of security keywords, the main control module 4 compares the identification text with the security keywords configured by the classification to obtain security comparison data, and the security comparison data is used for matching the corresponding security under the classification with the scanned file according to the security comparison data.
The security comparison data are the times of occurrence of each security keyword in the identification text, the main control module 4 obtains the number of pages of the scanned file, the main control module 4 calculates the security statistics value according to each security keyword, the security comparison data and the number of pages through a preset security matching algorithm, and the scanned file is matched to the corresponding security according to the size of the security statistics value, wherein the times of occurrence of the security keywords in the identification text are positively correlated with the security statistics value, and the number of pages is inversely correlated with the security statistics value.
The secret matching algorithm is configured as
wherein ,for the security statistics, ++>、/>The number of times each classified keyword appears in the identification text is respectively +.>、/>Are all preset weights greater than 0.
Specifically, for example, the security level keyword of the purchasing branch class may include names of each upstream purchasing party and each downstream customer, the security level may be classified into a no-security level, a low-security level, a medium-security level and a high-security level, security requirements of the corresponding file are sequentially increased, and the corresponding security level weight values may be greater than 0 and less than or equal to 5, greater than or equal to 5 and less than 15, greater than or equal to 15 and less than 50, 50 and more than 50, respectively. If the calculated security level statistic value is 4, the corresponding security level is no security level; if the calculated security level statistic value is 55, the corresponding security level is a high-density level.
And step A500, the main control module 4 controls any electronic lock 3 which does not store the accommodating cavity of the file to unlock, and stores the serial number of the accommodating cavity, the scanned file, the main class, the branch class and the security class matched with the scanned file as file storage information.
Specifically, after the electronic lock 3 is unlocked, staff can put the file to be stored into the unlocked accommodating cavity and close the cabinet door, and the electronic lock 3 is automatically closed. Each holding cabinet all can be used to deposit the file of different main classes, branch class and seal grades, and the main control module 4 all leaves the record to each file that holds the cabinet and store, can every rational utilization hold the cabinet, can not lead to the file to deposit chaotic again simultaneously.
The electronic lock 3 is connected with an infrared module 8, after the electronic lock 3 is closed, the infrared module 8 is triggered and scans the accommodating cavity to obtain scanning information and sends the scanning information to the main control module 4, and the main control module 4 confirms whether the corresponding accommodating cavity stores files or not according to the scanning information and stores results. So that the main control module 4 knows in real time whether each accommodating cavity stores files.
In step a600, the main control module 4 receives the scanning information of the accommodating cavity unlocked by the electronic lock 3 in step a500, and determines that the accommodating cavity does not store the file, at this time, it may be determined that the employee does not put the file to be stored into the accommodating cavity with the corresponding number, and the main control module 4 deletes the file storage information stored in step a500, so as to avoid error of the file storage information stored in the main control module 4.
The intelligent file cabinet is configured with a file fetching strategy, and the file fetching strategy comprises the following steps of
And step B100, when the main control module 4 receives a file taking instruction of an employee, acquiring file storage information of a file to be taken, and sending an identification instruction to the biological identification module 6.
In step B200, the biometric module 6 receives the identification instruction, identifies the biometric feature of the employee, and sends the biometric feature to the main control module 4.
Specifically, a display module can be arranged on the cabinet body 1, and staff can select any file stored in the cabinet body 1 through the display module and send a file taking instruction of the file to be taken to the main control module 4. The biometric identification module 6 may be a face identification module, and when the biometric identification module 6 receives the identification instruction, performs face identification on the employee to obtain the biometric characteristics of the employee, and sends the biometric characteristics to the main control module 4.
Step B300, the main control module 4 is internally provided with identity information of a plurality of staff members, the identity information comprises biological characteristics, work responsibilities and job orders of the staff members, the number of the wearable devices 2 of the superior leaders and the number of the wearable devices 2 of the staff members of each lower level, each work responsibilities corresponds to at least one branch, the job orders correspond to at least one secret, the main control module 4 takes the received biological characteristics as indexes to obtain the identity information of the staff members, the work responsibilities of the staff members are compared with the branches of the files to be obtained, and if the branch corresponds to the work responsibilities, the step B400 is entered; if the branch class does not correspond to the job responsibilities, step B600 is entered.
Step B400, the master control module 4 compares the job class of the staff with the security class of the file to be fetched; if the secret level corresponds to the job level, entering a step B500; if the secret level does not correspond to the job level, entering a step B600;
step B500, the main control module 4 controls the unlocking of the electronic lock 3 of the accommodating cavity storing the file to be fetched according to the number of the accommodating cavity in the file storing information;
step B600, the main control module 4 sends unlocking request information to the corresponding wearable device 2 through the wireless communication module 7 according to the serial number of the wearable device 2 of the upper leader in the identity information, wherein the unlocking request information comprises the identity information of staff and file storage information of a file to be fetched;
step B700, after receiving an unlocking permission instruction of the wearable device 2 of the superior leader through the wireless communication module 7, the main control module 4 adds the job responsibilities corresponding to the branch class of the substituted file into the original job responsibilities, adds the job level corresponding to the secret class of the substituted file into the job level of the newly added job responsibilities, and enters the step B500; after receiving the unlocking refusing instruction of the wearable device 2 of the superior leader, the main control module 4 finishes the file taking strategy through the wireless communication module 7;
specifically, the employee may be provided with a plurality of job responsibilities, and each job responsibilities corresponds to a job level, and the job levels between different job responsibilities may be the same or different. For example, when the job duty of a staff is only one and is a sales company product, the job duty can correspond to a sales branch class and an inventory branch class at the same time, and when the staff has a level 3 under the job duty, the staff can correspond to a middle security class and all the security classes below the middle security class, namely, no security class, a low security class and a middle security class. When the files to be fetched belong to sales branch or stock branch, and the security level is no security level, low security level or medium security level, the main control module 4 controls the corresponding electronic lock 3 to unlock, and staff can fetch the files to be fetched. When the file to be fetched does not belong to the sales branch class and the stock branch class, or the file to be fetched belongs to the sales branch class or the stock branch class, but the security class is a high-security class, sending unlocking request information to the wearable equipment 2 of the upper leader of the employee, and ending the file fetching strategy if an unlocking refusing instruction is received; if an unlocking permission instruction is received, the job responsibilities corresponding to the branch class of the file to be fetched are added to the original job responsibilities, the job level corresponding to the security class of the file to be fetched is added to the job level of the newly added job responsibilities, and the corresponding electronic lock 3 is controlled to unlock so that staff can fetch the file to be fetched.
In step B800, the main control module 4 receives the scanning information of the unlock accommodating cavity of the electronic lock 3 in step B500, and determines that the employee has taken the substituted file when confirming that the accommodating cavity does not store the file, and deletes the file storage information of the file to be taken in step B100 at this time, thereby avoiding the error of the file storage information stored in the main control module 4.
In step B300, the main control module 4 judges whether the security level is a high-security level through the file storage information, if yes, the main control module sends a high-security level prompt and a piece taking verification instruction to the wearable device 2 of the staff through the wireless communication module 7 before entering the next step, and after receiving a piece taking confirmation instruction of the wearable device 2 within a preset time interval, the main control module enters the next step; if the instruction of fetching the wearable device 2 is not received within the preset time interval, ending the file fetching strategy.
Specifically, because the scanned files matched with the high-density files are files with high confidentiality requirements, when the high-density files are taken, the identities of the staff and the wearable devices 2 corresponding to the staff are verified, and the high-density files can be taken only through verification, so that the high-density files are further ensured not to be leaked.
Through the file taking-out strategy, when an employee wants to take out the file to be taken out, the main control module 4 judges whether the file to be taken out needs to be kept secret to the employee through the work responsibility and the job level of the employee and the branch class and the security level of the file to be taken out, and when the file to be taken out needs to be kept secret, the upper-level lead of the employee judges whether the employee takes out the file to be taken out, so that accurate and orderly management during taking out of the secret file is realized. Meanwhile, the master control module 4 can update the work responsibilities and job levels of the staff in real time through the action of taking out files of the staff, so that the upper leader can inquire more accurate identity information of the lower staff in the information inquiry strategy.
The intelligent file cabinet is configured with an information query strategy, and the information query strategy comprises that when the main control module 4 receives a lower-level employee information query instruction sent by the wearable device 2 through the wireless communication module 7, the number of the wearable device 2 sending the lower-level employee information query instruction is taken as an index, the number of the wearable device 2 of the lower-level employee is obtained, the number of the wearable device 2 of the lower-level employee is taken as an index, the identity information of the lower-level employee is obtained, and the identity information is sent to the wearable device 2 sending the lower-level employee information query instruction through the wireless communication module 7.
Specifically, when the superior leader needs to judge the development direction of the subordinate employee, the wearable device 2 can acquire the identity information of the subordinate employee, the identity information comprises the work responsibility and the job level of the employee updated in real time, and the superior leader can judge the development direction of the employee more comprehensively and accurately according to the current work responsibility and the job level of the employee and the change of the work responsibility and the job level. For example, the work responsibility of the staff is newly increased to sell company products, and when the corresponding job level is higher, the staff is interested in selling company products and has deeper knowledge of the work responsibility, and the staff can be selectively cultivated to a sales post in the follow-up process, so that the file cabinet can provide a basis for the upper-level leader to judge the development direction of the lower-level staff, particularly the new staff.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention are intended to be comprehended within the scope of the present invention.
Claims (10)
1. An intelligent filing cabinet based on multidimensional data processing, its characterized in that: the portable electronic device comprises a cabinet body and a plurality of wearable devices, wherein the wearable devices are used for being carried by staff, a plurality of accommodating cavities are arranged in the cabinet body, an electronic lock is arranged at an opening of each accommodating cavity, and a main control module, a page turning scanning module, a biological identification module and a wireless communication module are further arranged on the cabinet body;
the intelligent file cabinet is configured with a file storage strategy, and the file storage strategy comprises the following steps of
Step A100, the page turning scanning module scans the file to be stored page by page to obtain a scanning file and sends the scanning file to the main control module;
step A200, the main control module is configured with a plurality of main classes, a plurality of branch classes are configured under each main class, a plurality of secret classes are configured under each branch class, the main control module performs character recognition on a received scanning file to obtain a recognition text, the main control module compares the recognition text with preset main class keywords to obtain main class comparison data, and the main class comparison data is used for matching the corresponding main class with the scanning file according to the main class comparison data;
step A300, each main class is configured with a plurality of branch class keywords, the main control module compares the identification text with the classification keywords configured by the main class to obtain classification comparison data, and the scanning file is matched with the corresponding classification under the main class according to the classification comparison data;
Step A400, each classification is configured with a plurality of security keywords, the main control module compares the identification text with the security keywords configured by the classification to obtain security comparison data, and the security comparison data is used for matching the corresponding security of the scanned file under the classification according to the security comparison data;
step A500, the main control module controls any electronic lock of the accommodating cavity which does not store the file to unlock, and stores the serial number of the accommodating cavity, the scanned file, the main class, the branch class and the security class matched with the scanned file as file storage information;
the intelligent file cabinet is configured with a file fetching strategy, and the file fetching strategy comprises the following steps of
Step B100, when the master control module receives a file taking-out instruction of an employee, acquiring file storage information of a file to be taken out, and sending an identification instruction to the biological identification module;
step B200, the biological recognition module recognizes the biological characteristics of staff after receiving the recognition instruction and sends the biological characteristics to the main control module;
step B300, configuring identity information of a plurality of staff in the main control module, wherein the identity information comprises biological characteristics, work responsibilities and job classes of the staff, numbers of wearable devices of superior leaders and numbers of wearable devices of all subordinate staff, each work responsibilities corresponds to at least one branch class, the job classes correspond to at least one secret class, the main control module obtains the staff identity information by taking the received biological characteristics as indexes, compares the work responsibilities of the staff with the branch class of the file to be obtained, and if the branch class corresponds to the work responsibilities, step B400 is entered; if the branch class does not correspond to the job responsibilities, entering a step B600;
Step B400, the master control module compares the job class of the staff with the security class of the file to be fetched; if the security class corresponds to the job class, entering a step B500; if the security class does not correspond to the job class, entering a step B600;
step B500, the main control module controls unlocking of the electronic lock of the accommodating cavity storing the file to be fetched according to the number of the accommodating cavity in the file storage information;
step B600, the main control module sends unlocking request information to the corresponding wearable equipment through the wireless communication module according to the serial numbers of the wearable equipment of the upper level leader in the identity information, wherein the unlocking request information comprises the identity information of staff and file storage information of the file to be fetched;
step B700, after receiving an unlocking permission instruction of the wearable device of the superior leader through the wireless communication module, the main control module increases the work responsibility corresponding to the branch class of the file to be taken to the original work responsibility, increases the job class corresponding to the security class of the file to be taken to the job class of the newly increased work responsibility, and enters step B500; the master control module receives an unlocking refusing instruction of the wearable device of the superior leader through the wireless communication module, and then ends the file taking strategy;
The intelligent file cabinet is configured with an information query strategy, the information query strategy comprises that when the main control module receives a lower-level employee information query instruction sent by the wearable device through the wireless communication module, the number of the wearable device sending the lower-level employee information query instruction is taken as an index, the number of the wearable device of the lower-level employee is obtained, the number of the wearable device of the lower-level employee is taken as an index, identity information of the lower-level employee is obtained, and the identity information is sent to the wearable device sending the lower-level employee information query instruction through the wireless communication module.
2. An intelligent filing cabinet based on multidimensional data processing as claimed in claim 1, wherein: in the step a200, the main control module compares the identification text with a preset main class keyword to obtain main class comparison data, and the main class matching corresponding to the scanned document according to the main class comparison data specifically includes:
the main control module is configured with a main class keyword library, each main class is configured with a main class keyword library, the main class keyword library and the main class keyword library are both configured with the main class keywords, the main class keywords in each main class keyword library are not completely identical, the main class keyword library is a set of each main class keyword library, the main control module compares the identification text with the main class keywords in the main class keyword library to obtain main class pair data, the main class pair data is the occurrence times of each main class keyword in the identification text, and the main control module calculates main class matching values of each main class according to the main class keywords and the main class pair data in each main class keyword library through a preset main class matching algorithm and matches the corresponding main class of the scanning file according to the main class matching values, wherein the main class keywords are the occurrence times of the main class keywords in the identification text.
3. An intelligent filing cabinet based on multidimensional data processing as claimed in claim 2, wherein: the identification text comprises a cover identification text and a text identification text, the main pair data comprise cover main pair data and text main pair data, the cover main pair data are the times of occurrence of each main keyword in the cover identification text, the text main pair data are the times of occurrence of each main keyword in the text identification text, the main matching algorithm comprises a cover main matching algorithm and a full text main matching algorithm, and the main matching value comprises a cover main matching value and a full text main matching value;
the main control module calculates cover main class matching values of the main classes through the cover main class matching algorithm, and when the difference between the maximum value and the next largest value of the cover main class matching values is larger than a preset critical difference value, the main class corresponding to the maximum value of the cover main class matching values is used as the main class corresponding to the scanning file; when the difference between the maximum value and the next largest value of the cover main class matching values is not larger than a preset critical difference, the main control module obtains the page number of the scanned file, calculates the full-text main class matching values of the main classes through the full-text main class matching algorithm, and takes the main class corresponding to the maximum value of the full-text main class matching values as the main class corresponding to the scanned file.
4. A multi-dimensional data processing-based intelligent filing cabinet as claimed in claim 3, wherein: the cover main class matching algorithm is configured as follows； wherein ,match value for cover main class, +.>The number of the main class keywords in the main class keyword sub-library is the number of the main class keywords in the main class keyword sub-library, and the number of the main class keywords is->The number of times of occurrence of each main category keyword in the cover identification text is respectively +.>Are all preset weights->A constant greater than 1;
the full text main class matching algorithm is configured as follows； wherein ,/>Match value for full text main class, +.>The number of times of each main category keyword in the text recognition text is respectively +.>For the number of pages of the scan file, +.>Are all preset weights, and +.>。
5. An intelligent filing cabinet based on multidimensional data processing as claimed in claim 1, wherein: in the step a300, the main control module compares the identification text with the classification keywords configured by the main class to obtain classification comparison data, and the matching of the scan file with the classification corresponding to the main class according to the classification comparison data is specifically as follows:
the main class is configured with branch keyword libraries, each branch is configured with branch keyword libraries, the branch keyword libraries and the branch keyword libraries are respectively configured with the branch keywords, the branch keywords in each branch keyword library are not completely the same, the branch keyword libraries are the collection of each branch keyword library, the main control module compares the identification text with the branch keywords in the branch keyword libraries to obtain branch comparison data, the branch comparison data are the times of occurrence of each branch keyword in the identification text, and the main control module calculates the branch matching value of each branch according to the branch keywords in each branch keyword library and the branch comparison data by a preset branch matching algorithm and matches the corresponding branch of the scanning file according to the size of the branch matching value, wherein the branch matching data are the times of occurrence of the branch keywords in the identification text.
6. An intelligent filing cabinet based on multidimensional data processing as claimed in claim 1, wherein: in the step a400, the main control module compares the identification text with the classified keyword to obtain security comparison data, and matches the security corresponding to the scanned file under the classification according to the security comparison data:
the security comparison data are the times of occurrence of each security keyword in the identification text, the main control module obtains the number of pages of the scanned file, the main control module calculates a security statistics value according to each security keyword, the security comparison data and the number of pages through a preset security matching algorithm, and matches the scanned file to the corresponding security according to the size of the security statistics value, wherein the times of occurrence of the security keywords in the identification text positively correlates with the security statistics value, and the number of pages inversely correlates with the security statistics value.
7. An intelligent filing cabinet based on multidimensional data processing as claimed in claim 1, wherein: the electronic lock is connected with an infrared module, after the electronic lock is closed, the infrared module scans the accommodating cavity to obtain scanning information and sends the scanning information to the main control module, and the main control module confirms whether the corresponding accommodating cavity stores files or not according to the scanning information and stores results.
8. An intelligent filing cabinet based on multidimensional data processing as recited in claim 7, wherein: the file storage strategy further comprises a step A600, wherein the main control module receives the scanning information of the accommodating cavity unlocked by the electronic lock in the step A500, and deletes the file storage information stored in the step A500 when the accommodating cavity is confirmed to not store the file.
9. An intelligent filing cabinet based on multidimensional data processing as recited in claim 7, wherein: the file taking-out strategy further comprises a step B800, wherein the main control module receives the scanning information of the accommodating cavity unlocked by the electronic lock in the step B500, and deletes the file storage information of the file to be taken out in the step B100 when the accommodating cavity is confirmed to not store the file.
10. An intelligent filing cabinet based on multidimensional data processing as claimed in claim 1, wherein: the security level comprises a high-security level, the scanned file matched with the high-security level is a file with high security requirement, in the step B300, the main control module judges whether the security level is the high-security level through the file storage information, if yes, the main control module sends a high-security level prompt and a piece taking verification instruction to the wearable equipment of staff through the wireless communication module before entering the next step, and after receiving the piece taking confirmation instruction of the wearable equipment within a preset time interval, the main control module enters the next step; and if the confirmation fetching instruction of the wearable equipment is not received within a preset time interval, ending the file fetching strategy.
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