CN111540137A - Library's intelligence system of borrowing books based on big data - Google Patents
Library's intelligence system of borrowing books based on big data Download PDFInfo
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- CN111540137A CN111540137A CN202010324124.0A CN202010324124A CN111540137A CN 111540137 A CN111540137 A CN 111540137A CN 202010324124 A CN202010324124 A CN 202010324124A CN 111540137 A CN111540137 A CN 111540137A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
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- G07G1/0018—Constructional details, e.g. of drawer, printing means, input means
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- G—PHYSICS
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- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
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Abstract
The invention discloses a big data-based library intelligent book borrowing system which comprises an acquisition module, a login module, a verification module, a borrowing module, a database, a monitoring module, an analysis module, a settlement module and intelligent equipment, wherein the acquisition module is used for acquiring a book; the book borrowing system comprises a login module, a verification module and an analysis module, wherein the login module is used for logging in user account information, the user account information comprises account data and password data and is transmitted to the verification module, the database stores recorded account data, recorded password data and user number data, and the verification module acquires the recorded account data and recorded password data from the database.
Description
Technical Field
The invention relates to the technical field of intelligent libraries, in particular to a library intelligent book borrowing system based on big data.
Background
The library is a scientific, cultural and educational structure which is used for arranging and storing documents by a mobile phone and providing readers with the utilization, various book-collection places in ancient China are commonly called book-collection buildings by later people, the word of the library appears at the end of 19 th century, the library is a civilized product of human equipment developed to a certain stage, is political, economic and cultural service of a certain society and is restricted by the later people, and the library can be used for borrowing books and enriching the knowledge plane of people.
The existing libraries are all the same artificial management, people register and record through the manager, thereby borrow books to enrich the knowledge face of self, it is comparatively unchangeable, often can be because the manager appears the mistake when registering, perhaps the record data is too much, and be difficult to look for the whereabouts of books, can appear the picture presentation for this reason and lose the phenomenon such as, when people borrow books, because books are too many to inquire, consume a large amount of time, it is borrowed by other people and leads to borrowing people can't borrow books to appear books often, great influence people borrow the efficiency of books, for this reason, we provide a library intelligence book borrowing system based on big data.
Disclosure of Invention
The invention aims to provide a big data-based intelligent book borrowing system for a library, which can be used for safely verifying account information of a user by setting a login module and a verification module, increasing the safety of the account, improving the borrowing experience of the user and bringing convenience to the user, marking the collected book information by an analysis module, calculating the residual quantity of books according to a borrowing record, calculating the browsing speed by the borrowing module according to the borrowing history of the user, performing book borrowing permission analysis between the users according to the residual quantity of the books and the browsing speed, ensuring the success rate of borrowing the books by the user, increasing the borrowing convenience of the user, saving time and improving the borrowing efficiency, calculating the cost of borrowing the books by the user according to the analysis of a time node of borrowing the books by the user by the calculation module, rapidly paying on an intelligent device and increasing the convenience of the borrowing cost of the user, time is saved, and working efficiency is improved.
The technical problem to be solved by the invention is as follows:
(1) how to carry out security verification on account information of a user through the setting of a login module and a verification module so as to solve the problem that whether an account is safe or not can not be quickly verified in the prior art;
(2) how to mark the collected book information through the analysis module, calculate the book residual amount according to the borrowing record, calculate the browsing speed according to the borrowing history of the user by the borrowing module, and analyze the book borrowing permission between the users according to the book residual amount and the browsing speed, so as to solve the problem that the book borrowing between the users cannot be realized in the prior art;
(3) how to calculate the cost that the user borrowed books through the analysis of the time node of calculating the module to the user borrowed books to pay fast on smart machine, solve among the prior art and can't carry out the problem that the cost was paid for to borrow books fast through smart machine.
The purpose of the invention can be realized by the following technical scheme: an intelligent library book borrowing system based on big data comprises an acquisition module, a login module, a verification module, a borrowing module, a database, a monitoring module, an analysis module, a settlement module and intelligent equipment;
the system comprises a logging module, a borrowing module, a verifying module and a database, wherein the logging module is used for logging in user account information, the user account information comprises account data and password data and is transmitted to the verifying module, the database stores recorded account data, recorded password data and user number data, the verifying module acquires the recorded account data, the recorded password data and the user number data from the database, verifies the recorded account data, the recorded password data and the user number data together with the account data and the password data to obtain account safety information, an account danger signal and a login permission signal, and transmits the account safety information, the account danger signal and the login permission signal to the borrowing module;
the book borrowing system comprises a collection module, an analysis module and a borrowing module, wherein the collection module is used for collecting book information, the book information comprises book name data, book quantity data and borrowing record information, the borrowing record information comprises book name data, book quantity data and borrowing time data, the borrowing record information is transmitted to the analysis module, and the analysis module is used for analyzing the book name data, the book quantity data and the borrowing record information to obtain book residual and transmitting the book residual to the borrowing module;
the monitoring module is used for detecting book ownership information of a user, the book ownership information comprises name data of owned books and owned quantity data and is transmitted to the borrowing module, historical borrowing information of the user is stored in the database, the historical borrowing information comprises word number data of the borrowed books and time data of the borrowed books and is transmitted to the borrowing module;
the borrowing module is used for performing borrowing planning operation on account safety information, a login allowing signal, a danger signal, book surplus, owned book name data, owned quantity data, borrowed book word number data and borrowed book time data to obtain a borrowing signal and a borrowing forbidding signal and transmitting the borrowing signal and the borrowing forbidding signal to the settlement module;
the settlement module is used for calculating the borrowing expense of the user, and specifically comprises the following steps: when the settlement module receives the borrowing signal, acquiring the calculation day time data and the borrowing time data, and bringing the calculation day time data and the borrowing time data into a borrowing fee calculation formula: FY ═ B + [ (T1-JJj) -B ] × 1, where FY denotes the borrowing fee, B denotes the fee basis for a certain period of time, B denotes the time data beyond a certain period of time, and x1 denotes the fee settlement odd number of the time data beyond a certain period of time, and transmits the result of the borrowing fee to the smart device;
and the intelligent equipment reminds the user to pay after receiving the borrowing fee.
As a further improvement of the invention: the specific operation process of the verification operation is as follows:
the method comprises the following steps: account data, password data, record account data, record password data and user number data are obtained and marked as A1i, A2i, B1l, B2l and B3l in sequence, i is 1,2,3.. No. n1, l is 1,2,3.. No. n2, A1i and A2i are in one-to-one correspondence, and B1l, B2l and B3l are in one-to-one correspondence;
step two: comparing the account data with the recorded account data, and when the account data is compared with the recorded account data
If so, judging that the user account does not exist, and if A1i ∈ B1l, judging that the user account exists;
step three: performing a distinguishing operation according to the determination result in the second step, specifically: when the user account does not exist, automatically jumping to an account registration page, registering the account by the user, and when the account exists, acquiring password data and recording the password data, and comparing the password data with the recording password data, wherein the specific steps are as follows: when A2i is matched with B2l, the user account password is judged to be correct, a login permission signal is generated, when A2i is not matched with B2l, the user account password is judged to be wrong, user number data corresponding to the record account is acquired, verification information is sent to the user number, the account correctness is judged according to the verification information input by the user, and account safety information and a danger signal are generated.
As a further improvement of the invention: the specific operation process of the analysis operation is as follows:
k1: acquiring book name data, book quantity data, book borrowing name data, book borrowing quantity data and borrowing time data, and sequentially marking the book name data, the book borrowing number data, the book borrowing quantity data and the book borrowing time data as TMj, TSj, JMj, JJJJJj and JJj, wherein j is 1,2,3.
K2: matching the book name data with the book borrowing name data, namely identifying TMj to JMj, extracting book quantity data JSj and book borrowing quantity data JSj corresponding to the book name data and the book borrowing name data, and bringing the data into a difference calculation formula, thereby obtaining a difference value C1, namely the book residual quantity.
As a further improvement of the invention: the concrete operation process of the borrowing planning operation comprises the following steps:
f1: according to the account safety information, the danger signal and the login permission signal, the permission of the borrowing operation is judged, and the method specifically comprises the following steps: when a danger signal is received, the borrowing operation is not allowed, and when account safety information and a login allowing signal are received, the borrowing operation is allowed;
f2: acquiring name data of the book to be borrowed, quantity data of the book to be borrowed, word number data of the book to be borrowed and time data of the book to be borrowed according to the borrowing operation permission in the F1, and sequentially marking the name data, the quantity data, the word number data of the book to be borrowed and the time data of the book to be borrowed as PMv, PSv, PZv and PJv, wherein v is 1,2,3.
F3: calculating the reading speed of the user for reading the book according to the word number data and the time data of the book, and marking the reading speed as VSpeed measuring deviceThe specific calculation formula is as follows: vSpeed measuring device＝PZv/PJv，；
F4: acquiring the owned quantity data of a user, setting a maximum owned quantity M, comparing the maximum owned quantity M with the owned quantity data of the user, judging that the user has a borrowing space when the owned quantity data of the user is less than M, judging that the borrowing of the user reaches the on-line state when the owned quantity data of the user is equal to M, inputting name data of books required to be borrowed by the user according to the judgment result of the borrowing space of the user, identifying the book residual quantity according to the name data of the books, setting a preset book residual quantity Q1, comparing the preset book residual quantity with a book residual quantity C1, judging that the books in the library are sufficiently stored when the book residual quantity is greater than the preset book residual quantity, allowing the user to borrow the books in the library, determining that the books are not stored enough when the book residual quantity is less than the preset quantity of the book residual quantity, and not allowing the user to borrow, analyzing book borrowing of the user;
f5, obtaining the name data of the book to be borrowed according to the fact that the user is not allowed to borrow the book in the library in the F4, comparing the name data of the book to be borrowed with the name data of the book to be borrowed, specifically, when TMj ∈ PMv, the user is judged to have the book to be borrowed, and when TMj ∈ PMv, the user is judged to have the book to be borrowed
Judging that the user does not own the required book;
f6: acquiring the book that the user does not own in the F5, and borrowing the book to others according to the prohibition, and when acquiring that the user owns the book, allowing the transfer between users, thereby acquiring borrowing time data in the analysis module and the reading speed V in the F3Speed measuring deviceAnd brings it into the calculation formula along with the time of the calculation day: ZZ ═ V (T1-JJj)Speed measuring deviceWherein ZZ is used for calculating word number data read by the user, T1 is used for calculating time of day, difference M2 between ZZ and PZv is calculated, a preset value range Q2 is set, when M2 ∈ Q2, the fact that the reading of the user is finished is judged, a borrowing signal is generated, and when M2 ∈ Q2 is used, the borrowing signal is generated
And if so, judging that the user does not finish reading, and generating a borrow forbidding signal.
The invention has the beneficial effects that:
(1) the login module is used for logging in user account information and transmitting the user account information to the verification module, the database stores recorded account data, recorded password data and user number data, the verification module acquires the recorded account data, the recorded password data and the user number data from the database and carries out verification operation on the recorded account data, the recorded password data and the user number data together with the account data and the password data to obtain account safety information, an account danger signal and a login permission signal, safety verification is carried out on the account information of a user through the login module and the verification module, the safety of the account is improved, the borrowing experience of the user is improved, and meanwhile convenience is brought to the user.
(2) The book borrowing system comprises a collection module, an analysis module, a borrowing module and a book information analysis module, wherein the collection module is used for collecting book information and transmitting the book information to the analysis module; the monitoring module is used for detecting book ownership information of the user and transmitting the book ownership information to the borrowing module, and historical borrowing information of the user is stored in the database and transmitted to the borrowing module; the borrowing module is used for carrying out borrowing planning operation on account safety information, a login permission signal, a danger signal, book surplus, book name data, quantity data, book borrowing word number data and book borrowing time data to obtain a borrowing signal and a borrowing prohibition signal, marking the collected book information through the analysis module, calculating the book surplus according to a borrowing record, calculating the browsing speed according to the borrowing history of a user through the borrowing module, carrying out book borrowing permission analysis between the users according to the borrowing history and the book surplus, ensuring the success rate of borrowing the books of the users, increasing the borrowing convenience of the users, saving time and improving the borrowing efficiency;
(3) the settlement module is used for calculating the borrowing expense of the user, and when the settlement module receives the borrowing signal, the calculation date and time data and the borrowing time data are obtained and are brought into the borrowing expense calculation formula: FY ═ B + [ (T1-JJj) -B ] × 1, where FY denotes the borrowing fee, B denotes the fee basis for a certain period of time, B denotes the time data beyond a certain period of time, and x1 denotes the fee settlement odd number of the time data beyond a certain period of time, and transmits the result of the borrowing fee to the smart device; the intelligent device receives and borrows the expense and then reminds the user to carry out expense payment, calculates the expense of the user borrowing books according to the analysis of the time node of the user borrowing books by the calculation module, and pays quickly on the intelligent device, thereby increasing the convenience of the user for paying the expense of the books borrowing books, saving time and improving the working efficiency.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to a big data-based intelligent library book borrowing system, which is characterized by comprising an acquisition module, a login module, a verification module, a borrowing module, a database, a monitoring module, an analysis module, a settlement module and intelligent equipment;
the login module is used for logging in user account information, the user account information comprises account data and password data and is transmitted to the verification module, the database stores recorded account data, recorded password data and user number data, the verification module acquires the recorded account data, the recorded password data and the user number data from the database and carries out verification operation together with the account data and the password data, and the specific operation process of the verification operation is as follows:
the method comprises the following steps: account data, password data, record account data, record password data and user number data are obtained and marked as A1i, A2i, B1l, B2l and B3l in sequence, i is 1,2,3.. No. n1, l is 1,2,3.. No. n2, A1i and A2i are in one-to-one correspondence, and B1l, B2l and B3l are in one-to-one correspondence;
step two: comparing the account data with the recorded account data, and when the account data is compared with the recorded account data
If so, judging that the user account does not exist, and if A1i ∈ B1l, judging that the user account exists;
step three: performing a distinguishing operation according to the determination result in the second step, specifically: when the user account does not exist, automatically jumping to an account registration page, registering the account by the user, and when the account exists, acquiring password data and recording the password data, and comparing the password data with the recording password data, wherein the specific steps are as follows: when A2i is matched with B2l, the password of the user account is judged to be correct, a login permission signal is generated, when A2i is not matched with B2l, the password of the user account is judged to be wrong, user number data corresponding to the recorded account is acquired at the same time, verification information is sent to the user number, the correctness of the account is judged according to the verification information input by the user, account safety information and a danger signal are generated, and the account safety information and the danger signal are transmitted to the borrowing module together with the login permission signal;
the collection module is used for gathering the books information, the books information includes books name data, books quantity data and the record information of borrowing, the record information of borrowing is including borrowing books name data, borrowing books quantity data and borrowing time data to transmit it to analysis module, analysis module is used for carrying out analysis operations to books name data, books quantity data and the record information of borrowing, and analysis operations's concrete operation process does:
k1: acquiring book name data, book quantity data, book borrowing name data, book borrowing quantity data and borrowing time data, and sequentially marking the book name data, the book borrowing number data, the book borrowing quantity data and the book borrowing time data as TMj, TSj, JMj, JJJJJj and JJj, wherein j is 1,2,3.
K2: matching the book name data with the book borrowing name data, namely identifying TMj to JMj, extracting book quantity data JSj and book borrowing quantity data JSj corresponding to the book name data and the book borrowing name data, bringing the book quantity data and the book borrowing quantity data into a difference calculation formula, and obtaining a difference value C1, namely the book residual quantity, and transmitting the difference value C1 to the borrowing module;
the monitoring module is used for detecting book ownership information of a user, the book ownership information comprises name data of owned books and owned quantity data and is transmitted to the borrowing module, historical borrowing information of the user is stored in the database, the historical borrowing information comprises word number data of the borrowed books and time data of the borrowed books and is transmitted to the borrowing module;
the borrowing module is used for borrowing planning operation to account number safety information, allow signal, danger signal, books surplus, possess the books name data, possess quantity data, borrow books word number data and borrow books time data, and the concrete operation process of borrowing planning operation does:
f1: according to the account safety information, the danger signal and the login permission signal, the permission of the borrowing operation is judged, and the method specifically comprises the following steps: when a danger signal is received, the borrowing operation is not allowed, and when account safety information and a login allowing signal are received, the borrowing operation is allowed;
f2: acquiring name data of the book to be borrowed, quantity data of the book to be borrowed, word number data of the book to be borrowed and time data of the book to be borrowed according to the borrowing operation permission in the F1, and sequentially marking the name data, the quantity data, the word number data of the book to be borrowed and the time data of the book to be borrowed as PMv, PSv, PZv and PJv, wherein v is 1,2,3.
F3: calculating the reading speed of the user for reading the book according to the word number data and the time data of the book, and marking the reading speed as VSpeed measuring deviceThe specific calculation formula is as follows: vSpeed measuring device＝PZv/PJv，；
F4: acquiring the owned quantity data of a user, setting a maximum owned quantity M, comparing the maximum owned quantity M with the owned quantity data of the user, judging that the user has a borrowing space when the owned quantity data of the user is less than M, judging that the borrowing of the user reaches the on-line state when the owned quantity data of the user is equal to M, inputting name data of books required to be borrowed by the user according to the judgment result of the borrowing space of the user, identifying the book residual quantity according to the name data of the books, setting a preset book residual quantity Q1, comparing the preset book residual quantity with a book residual quantity C1, judging that the books in the library are sufficiently stored when the book residual quantity is greater than the preset book residual quantity, allowing the user to borrow the books in the library, determining that the books are not stored enough when the book residual quantity is less than the preset quantity of the book residual quantity, and not allowing the user to borrow, analyzing book borrowing of the user;
f5, obtaining the name data of the book to be borrowed according to the fact that the user is not allowed to borrow the book in the library in the F4, comparing the name data of the book to be borrowed with the name data of the book to be borrowed, specifically, when TMj ∈ PMv, the user is judged to have the book to be borrowed, and when TMj ∈ PMv, the user is judged to have the book to be borrowed
Judging that the user does not own the required book;
f6: obtain that the user in F5 has not owned the ownerWhen the user is required to borrow the book, and the user is forbidden to borrow the book, the borrowing time data in the analysis module and the reading speed V in the F3 are obtained according to the borrowing time data and the borrowing speed VSpeed measuring deviceAnd brings it into the calculation formula along with the time of the calculation day: ZZ ═ V (T1-JJj)Speed measuring deviceWherein ZZ is used for calculating word number data read by the user, T1 is used for calculating time of day, difference M2 between ZZ and PZv is calculated, a preset value range Q2 is set, when M2 ∈ Q2, the fact that the reading of the user is finished is judged, a borrowing signal is generated, and when M2 ∈ Q2 is used, the borrowing signal is generated
If so, judging that the user does not finish reading, generating a borrowing forbidding signal, and transmitting the borrowing forbidding signal and the borrowing forbidding signal to the settlement module;
the settlement module is used for calculating the borrowing expense of the user, and specifically comprises the following steps: when the settlement module receives the borrowing signal, acquiring the calculation day time data and the borrowing time data, and bringing the calculation day time data and the borrowing time data into a borrowing fee calculation formula: FY ═ B + [ (T1-JJj) -B ] × 1, where FY denotes the borrowing fee, B denotes the fee basis for a certain period of time, B denotes the time data beyond a certain period of time, and x1 denotes the fee settlement odd number of the time data beyond a certain period of time, and transmits the result of the borrowing fee to the smart device;
and the intelligent equipment reminds the user to pay after receiving the borrowing fee.
As another embodiment of the present invention: credit degree setting is carried out on book borrowing of a user, and specific positions are as follows: firstly, setting an initial credit G0 of a user, setting a maximum time limit value for book borrowing, calibrating the maximum time limit value as a time limit preset value, analyzing book borrowing time of each time of the user, judging that the user is not on duty when the book borrowing time limit of the user is greater than the time limit preset value, judging that the user is on duty when the book borrowing time limit of the user is less than or equal to the time limit preset value, extracting times of the user on duty and on duty, calculating an off-duty frequency Gv, deducting the credit according to the evaluation rate of the off-duty, and bringing the deduction into a calculation formula: GX is G0-Gv Rc, wherein GX represents the real-time credit of the user, Rc represents the credit influence factor of the non-punctuality frequency, and the book borrowing fee of the user is classified and settled according to the real-time credit of the user, and the specific settlement formula is as follows: FY { B + [ (T1-JJj) -B ] × 1} × GX Ec, where Ec is expressed as a factor of credit impact on the cost of borrowing.
When the borrowing and borrowing system works, the login module is used for logging in user account information and transmitting the user account information to the verification module, the database stores recorded account data, recorded password data and user number data, the verification module acquires the recorded account data, the recorded password data and the user number data from the database, carries out verification operation on the recorded account data, the recorded password data and the user number data together with the account data and the password data to obtain account safety information, an account danger signal and a login permission signal, and transmits the account safety information, the account danger signal and the login permission signal to the borrowing module; the book borrowing system comprises a collection module, an analysis module, a borrowing module and a book information analysis module, wherein the collection module is used for collecting book information and transmitting the book information to the analysis module; the monitoring module is used for detecting book ownership information of the user and transmitting the book ownership information to the borrowing module, and historical borrowing information of the user is stored in the database and transmitted to the borrowing module; the borrowing module is used for performing borrowing planning operation on account safety information, a login allowing signal, a danger signal, book surplus, name data of owned books, owned quantity data, word data of borrowed books and time data of the borrowed books to obtain a borrowing signal and a borrowing forbidding signal, and transmitting the borrowing signal and the borrowing forbidding signal to the settlement module; the settlement module is used for calculating the borrowing expense of the user, and when the settlement module receives the borrowing signal, the calculation date and time data and the borrowing time data are obtained and are brought into the borrowing expense calculation formula: FY ═ B + [ (T1-JJj) -B ] × 1, where FY denotes the borrowing fee, B denotes the fee basis for a certain period of time, B denotes the time data beyond a certain period of time, and x1 denotes the fee settlement odd number of the time data beyond a certain period of time, and transmits the result of the borrowing fee to the smart device; and after receiving the borrowing fee, the intelligent equipment reminds the user to pay the fee.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. The intelligent library book borrowing system based on big data is characterized by comprising an acquisition module, a login module, a verification module, a borrowing module, a database, a monitoring module, an analysis module, a settlement module and intelligent equipment;
the system comprises a logging module, a borrowing module, a verifying module and a database, wherein the logging module is used for logging in user account information, the user account information comprises account data and password data and is transmitted to the verifying module, the database stores recorded account data, recorded password data and user number data, the verifying module acquires the recorded account data, the recorded password data and the user number data from the database, verifies the recorded account data, the recorded password data and the user number data together with the account data and the password data to obtain account safety information, an account danger signal and a login permission signal, and transmits the account safety information, the account danger signal and the login permission signal to the borrowing module;
the book borrowing system comprises a collection module, an analysis module and a borrowing module, wherein the collection module is used for collecting book information, the book information comprises book name data, book quantity data and borrowing record information, the borrowing record information comprises book name data, book quantity data and borrowing time data, the borrowing record information is transmitted to the analysis module, and the analysis module is used for analyzing the book name data, the book quantity data and the borrowing record information to obtain book residual and transmitting the book residual to the borrowing module;
the monitoring module is used for detecting book ownership information of a user, the book ownership information comprises name data of owned books and owned quantity data and is transmitted to the borrowing module, historical borrowing information of the user is stored in the database, the historical borrowing information comprises word number data of the borrowed books and time data of the borrowed books and is transmitted to the borrowing module;
the borrowing module is used for performing borrowing planning operation on account safety information, a login allowing signal, a danger signal, book surplus, owned book name data, owned quantity data, borrowed book word number data and borrowed book time data to obtain a borrowing signal and a borrowing forbidding signal and transmitting the borrowing signal and the borrowing forbidding signal to the settlement module;
the settlement module is used for calculating the borrowing expense of the user, and specifically comprises the following steps: when the settlement module receives the borrowing signal, acquiring the calculation day time data and the borrowing time data, and bringing the calculation day time data and the borrowing time data into a borrowing fee calculation formula: FY ═ B + [ (T1-JJj) -B ] × 1, where FY denotes the borrowing fee, B denotes the fee basis for a certain period of time, B denotes the time data beyond a certain period of time, and x1 denotes the fee settlement odd number of the time data beyond a certain period of time, and transmits the result of the borrowing fee to the smart device;
and the intelligent equipment reminds the user to pay after receiving the borrowing fee.
2. The big-data-based intelligent library book borrowing system according to claim 1, wherein the verification operation is performed through the specific operation process of:
the method comprises the following steps: account data, password data, record account data, record password data and user number data are obtained and marked as A1i, A2i, B1l, B2l and B3l in sequence, i is 1,2,3.. No. n1, l is 1,2,3.. No. n2, A1i and A2i are in one-to-one correspondence, and B1l, B2l and B3l are in one-to-one correspondence;
step two: comparing the account data with the recorded account data, and when the account data is compared with the recorded account data
If so, judging that the user account does not exist, and if A1i ∈ B1l, judging that the user account exists;
step three: performing a distinguishing operation according to the determination result in the second step, specifically: when the user account does not exist, automatically jumping to an account registration page, registering the account by the user, and when the account exists, acquiring password data and recording the password data, and comparing the password data with the recording password data, wherein the specific steps are as follows: when A2i is matched with B2l, the user account password is judged to be correct, a login permission signal is generated, when A2i is not matched with B2l, the user account password is judged to be wrong, user number data corresponding to the record account is acquired, verification information is sent to the user number, the account correctness is judged according to the verification information input by the user, and account safety information and a danger signal are generated.
3. The big-data-based intelligent library book borrowing system according to claim 1, wherein the specific operation process of the analysis operation is as follows:
k1: acquiring book name data, book quantity data, book borrowing name data, book borrowing quantity data and borrowing time data, and sequentially marking the book name data, the book borrowing number data, the book borrowing quantity data and the book borrowing time data as TMj, TSj, JMj, JJJJJj and JJj, wherein j is 1,2,3.
K2: matching the book name data with the book borrowing name data, namely identifying TMj to JMj, extracting book quantity data JSj and book borrowing quantity data JSj corresponding to the book name data and the book borrowing name data, and bringing the data into a difference calculation formula, thereby obtaining a difference value C1, namely the book residual quantity.
4. The big-data-based intelligent book borrowing system for libraries according to claim 1, wherein the specific operation process of the borrowing planning operation is as follows:
f1: according to the account safety information, the danger signal and the login permission signal, the permission of the borrowing operation is judged, and the method specifically comprises the following steps: when a danger signal is received, the borrowing operation is not allowed, and when account safety information and a login allowing signal are received, the borrowing operation is allowed;
f2: acquiring name data of the book to be borrowed, quantity data of the book to be borrowed, word number data of the book to be borrowed and time data of the book to be borrowed according to the borrowing operation permission in the F1, and sequentially marking the name data, the quantity data, the word number data of the book to be borrowed and the time data of the book to be borrowed as PMv, PSv, PZv and PJv, wherein v is 1,2,3.
F3: calculating the reading speed of the user for reading the book according to the word number data and the time data of the book, and marking the reading speed as VSpeed measuring deviceThe specific calculation formula is as follows: vSpeed measuring device＝PZv/PJv，；
F4: acquiring the owned quantity data of a user, setting a maximum owned quantity M, comparing the maximum owned quantity M with the owned quantity data of the user, judging that the user has a borrowing space when the owned quantity data of the user is less than M, judging that the borrowing of the user reaches the on-line state when the owned quantity data of the user is equal to M, inputting name data of books required to be borrowed by the user according to the judgment result of the borrowing space of the user, identifying the book residual quantity according to the name data of the books, setting a preset book residual quantity Q1, comparing the preset book residual quantity with a book residual quantity C1, judging that the books in the library are sufficiently stored when the book residual quantity is greater than the preset book residual quantity, allowing the user to borrow the books in the library, determining that the books are not stored enough when the book residual quantity is less than the preset quantity of the book residual quantity, and not allowing the user to borrow, analyzing book borrowing of the user;
f5, obtaining the name data of the book to be borrowed according to the fact that the user is not allowed to borrow the book in the library in the F4, comparing the name data of the book to be borrowed with the name data of the book to be borrowed, specifically, when TMj ∈ PMv, the user is judged to have the book to be borrowed, and when TMj ∈ PMv, the user is judged to have the book to be borrowed
Judging that the user does not own the required book;
f6: acquiring the book that the user does not own in the F5, and borrowing the book to others according to the prohibition, and when acquiring that the user owns the book, allowing the transfer between users, thereby acquiring borrowing time data in the analysis module and the reading speed V in the F3Speed measuring deviceAnd brings it into the calculation formula along with the time of the calculation day: ZZ ═ V (T1-JJj)Speed measuring deviceWherein ZZ is expressed as a computing userReading word number data, T1 is represented by calculating time of day, calculating difference M2 between ZZ and PZv, setting a preset value range Q2, when M2 ∈ Q2, judging that the user has finished reading, generating a borrowing signal, and when M2 ∈ Q2, generating a borrowing signal
And if so, judging that the user does not finish reading, and generating a borrow forbidding signal.
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