Educational informatization data collection and management method and system based on big data

Abstract

The present invention belongs to the technical field of educational data management, and specifically discloses an educational information technology data collection and management method and system based on big data. The educational information technology data collection and management method comprises: extracting the region, location and library-related book data of a target university; extracting the location and library-related book data of each associated university corresponding to the target university; analyzing the book rotation adaptability corresponding to each associated university; determining the procurement method of the target university and providing feedback; thereby effectively solving the problem of no analysis and management of the early stage procurement of books at present, breaking the limitation of the applicable scenarios of the current analysis method, ensuring the reliability and accuracy of the formulation of book procurement plans, realizing in-depth evaluation of procurement needs of each book category, and greatly improving the pertinence and fit of book procurement, while also effectively promoting the circulation and interactivity of books between universities.

Description

Technical Field

[0001] The present invention belongs to the technical field of educational data management, and relates to a method and system for collecting and managing educational information data based on big data. Background Art

[0002] With the development of educational informatization, the amount of data has increased rapidly, and the ideas, values, concepts and lifestyles of teachers and students in schools are constantly changing. As an important place for developing information resources and independent education, the importance of library book procurement management is self-evident.

[0003] Currently, the procurement management of books in school libraries is mainly used to manage the selection of purchased books, and the management of procurement methods is relatively scarce.

[0004] Prior art, such as a Chinese invention patent application with application publication number CN113065711A, discloses a book purchasing optimization decision system and a book purchasing decision method, which calculates the book efficiency and copy purchase quantity of each book in the preliminary purchase order data according to the author information efficiency algorithm, obtains multiple groups of data such as the book efficiency and copy purchase quantity of the publishing house's single book efficiency data, copy purchase quantity, and subject book efficiency data, and then calculates historical data and data for the past year to obtain the final efficiency value and the final total copy purchase quantity of each book to be purchased, thereby solving the problem of what books to purchase and how many copies of each book to purchase, making the most of the book efficiency with limited procurement funds, and statistically avoiding the phenomenon of mismatch between the number of copies and borrowing demand.

[0005] Regarding the above scheme, the applicant believes that there are certain limitations in selecting books for purchase only at the efficiency level, and the current utilization rate of book data from other libraries is not high. Obviously, the current technology still has the following problems: First, it mainly focuses on further confirmation of books in preliminary orders, which belongs to mid-term book purchase management. There are certain limitations in the applicable scenarios. There is no analysis and management of the early purchases of books, and the reliability and accuracy of the book purchase plan cannot be ensured, which makes the targetedness and fit of book purchases still lacking.

[0006] Second, for school libraries, there are certain similarities in the books they collect. When purchasing books currently, the method of rotating books between schools is not considered, which cannot effectively save procurement costs, nor can it promote the circulation of books. At the same time, it is also impossible to improve the utilization rate of books with poor circulation in the libraries of various universities. Summary of the invention

[0007] In view of this, in order to solve the problems raised in the above background technology, an educational informatization data collection and management method and system based on big data are proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: The first aspect of the present invention provides an educational information technology data collection and management method based on big data, the method comprising the following steps: extracting the region, location and library-related book data of the target university, wherein the relevant book data includes existing book data, historical book borrowing data and historical book access data, and analyzing the target purchase book categories corresponding to the target university.

[0009] The universities in the same region as the target university are recorded as associated universities. The location and library-related book data of each associated university are extracted from the teaching management platform. The circulation evaluation index corresponding to each book category in each associated university is analyzed and recorded as LT ij , i represents the book category number, i=1,2,......n, j represents the associated university number, j=1,2,......u.

[0010] Analyze the book rotation adaptability corresponding to each associated university.

[0011] Determine the procurement method of the target university. If the procurement method is university rotation, proceed to step (1); if the procurement method is regular procurement, proceed to step (2).

[0012] (1) The associated university with the highest book rotation adaptability is selected as the target rotation university, and a rotation request instruction is sent to the target rotation university.

[0013] (2) Send book purchasing instructions to book purchasing managers.

[0014] Preferably, the existing book data includes the number of existing book categories, the location of the reading room corresponding to each book category, the number of books, and the name, number of copies, name of the author, collection time and preservation integrity of each book in each book category.

[0015] The historical book borrowing data includes the book categories corresponding to each borrowed book on each historical borrowing day and the number of defective borrowed books returned on each historical borrowing day.

[0016] The historical book visit data includes the flow of people and the average reading time in each reading room on each open day.

[0017] Preferably, the specific analysis process of the target purchase book categories corresponding to the target university is as follows: extracting the preservation integrity of each book in each book category from the existing book data of the target university, calculating the preservation integrity ratio of each book category, denoted as R i .

[0018] Extract the collection time of each book in each book category from the existing book data of the target university, and count the number of books to be updated in each book category, which is recorded as D i .

[0019] Extract the book categories corresponding to each borrowed book on each borrowing day from the historical book borrowing data of the target university, and then count the average number of borrowed books corresponding to each book category, denoted as M i .

[0020] Taking the historical borrowing dates as the horizontal axis and the number of borrowed books as the vertical axis, we construct the borrowing curve corresponding to each book category. At the same time, we take the average number of borrowed books as the reference value and construct the reference borrowing curve corresponding to each book category. We analyze the borrowing stability and borrowing demand corresponding to each book category, which are recorded as Δf respectively. i and X i .

[0021] Set the purchase compensation factor corresponding to each book category, denoted as η i .

[0022] Calculate the purchase demand evaluation index corresponding to each book category and record it as CG i , the specific calculation formula is as follows:

[0023] Wherein, a1, a2, a3, a4, and a5 represent the weights of procurement demand assessment corresponding to the preservation ratio, the number of books to be updated, the average number of borrowed books, the borrowing stability, and the borrowing demand, respectively; a2>a1>a3>a5>a4; R′, D′, M′, Δf′, and X′ represent the set reference preservation ratio, the reference number of books to be updated, the reference number of borrowed books, the reference borrowing stability, and the reference borrowing demand, respectively; and e is a natural constant.

[0024] The purchasing demand assessment indexes corresponding to each book category are compared, and the book category with the largest purchasing demand assessment index is selected and used as the target purchasing book category corresponding to the target university.

[0025] Preferably, the specific setting process of the purchase compensation factor corresponding to each book category is as follows: extract the reading room location corresponding to each book category from the existing book data of the target university, and then locate the flow of people and average reading time corresponding to each book category in the reading room on each historical opening day of the library from the historical book access data of the target university, which are recorded as Q i t and t represents the opening day number, t=1,2,......m.

[0026] The highest traffic volume and the highest average reading time are extracted from the traffic volume and the average reading time corresponding to each reading room of each book category on each opening day in the history of the library, and are recorded as Q max i and T max i .

[0027] Calculate the purchase compensation factor η corresponding to each book category i , the specific calculation formula is as follows:

[0028]

[0029] In the formula, m represents the number of historical open days, n represents the number of book categories, ΔQ and ΔT represent the set reference flow deviation and reference reading time deviation, respectively.

[0030] Preferably, the specific analysis process of the circulation evaluation index corresponding to each book category in each associated university is as follows: extract the number of copies of each book in each book category from the library-related book data of each associated university, calculate the copy rate corresponding to each book category of each associated university, and record it as p ij .

[0031] Extract the book categories corresponding to each borrowed book in each historical borrowing day from the library-related book data of each associated university, and count the number of historical borrowing days and the number of borrowed books corresponding to each book category of each associated university, which are recorded as N ij and M 借 ij .

[0032] The reading room locations corresponding to each book category are extracted from the library-related book data of each associated university. The flow of people and the average reading time of each reading room in each book category on each historical open day are extracted from the historical book access data of the libraries of each associated university. The average flow of people and the average reading time of each reading room in each associated university corresponding to each book category are calculated and recorded as and

[0033] Calculate the circulation evaluation index LT corresponding to each book category in each associated university ij , the specific calculation formula is as follows:

[0034] In the formula, c1 and c2 are the weights of circulation evaluation corresponding to the borrowing level and reading level, respectively; k1, k2, k3, and k4 represent the borrowing day ratio, borrowing book ratio, traffic ratio, and reading time ratio of the reference, respectively; p′ is the reference copy rate, and Z jis the number of historical borrowing days of the jth associated university library.

[0035] Preferably, the specific analysis process of the book rotation adaptability corresponding to each associated university includes: setting the book rotation interference factors corresponding to the circulation level and the borrowing level of each associated university, respectively denoted as τ j and

[0036] Analyze the book completeness of the target purchased book categories of each associated university, denoted as W j .

[0037] Extract the location of each related university and compare it with the location of the target university to obtain the distance L between the location of each related university and the location of the target university j .

[0038] Calculate the book rotation fitness corresponding to each associated university and record it as SP j , the specific calculation formula is as follows:

[0039] In the formula, ζ is the set book rotation adaptation evaluation compensation factor, f1 and f2 are the rotation adaptation evaluation weights corresponding to the book completeness and distance, respectively, and h1 and h2 are the interference evaluation compensation factors corresponding to the set circulation level and borrowing level, respectively.

[0040] Preferably, the specific setting process of the book rotation interference factors corresponding to the circulation level and the borrowing level of each associated university is as follows: the circulation evaluation index of the target purchase book category is located from the circulation evaluation index corresponding to each book category in each associated university, recorded as HX′ j .

[0041] Calculate the book rotation interference factor τ corresponding to the circulation level of each associated university j , the specific calculation formula is as follows:

[0042] The number of defective borrowed books returned on each borrowing day in history is extracted from the library-related book data of each related university. The number of borrowing days with defective borrowed books and the number of defective borrowed books returned are counted, which are recorded as N 缺 j and M 归 j .

[0043] The historical borrowing days and borrowing books numbers of the target purchased book categories are located from the historical borrowing days and borrowing books numbers of each book category of each associated university, and are recorded as N′ j and .

[0044] Calculate the book rotation interference factor at the corresponding borrowing level of each associated university , the specific calculation formula is as follows:

[0045] In the formula, g1 and g2 represent the borrowing-level assessment weights corresponding to the number of defective borrowing days and the number of defective borrowings, respectively, and k 5 , k 6 They are respectively expressed as the set reference defective loan date ratio and defective loan number ratio.

[0046] Preferably, the specific analysis process of the book completeness of the target purchase book categories of the associated universities is as follows: constructing a book information set of the target purchase book categories of the associated universities and a book information set of the target purchase book categories of the target universities, which are respectively denoted as A j and B.

[0047] The number of books in the target purchase book category of each associated university and target university is recorded as M 关 j and M 目 .

[0048] Extract the preservation integrity of each book in the target purchase book category of each associated university, and calculate the preservation integrity ratio of the target purchase books of each associated university, denoted as R 目 j .

[0049] Calculate the book completeness W of the target purchased book categories of each associated university j , the specific calculation formula is as follows:

[0050] In the formula, r1, r2, and r3 represent the book completeness evaluation weight factors corresponding to the set book similarity, number of books, and book preservation ratio, respectively; χ is the set completeness evaluation correction factor; R′ 目 The books suitable for rotation are well preserved.

[0051] The second aspect of the present invention provides an educational information data collection and management system based on big data, including: a target university information extraction and analysis module, which is used to extract the region, location and library-related book data of the target university, and analyze the target purchase book categories corresponding to the target university.

[0052] The associated university information extraction and analysis module is used to record the universities in the same region as the target university as associated universities, extract the location of each associated university and the relevant book data of the library, and analyze the circulation evaluation index corresponding to each book category in each associated university.

[0053] The university book rotation adaptation analysis module is used to analyze the book rotation adaptation degree corresponding to each related university.

[0054] The university book procurement confirmation feedback terminal is used to determine the procurement method of the target university and provide feedback.

[0055] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention evaluates book procurement needs from four levels: book preservation, collection time, borrowing data, and access data, and intuitively displays the procurement demand status of each book category, thereby achieving in-depth evaluation of the procurement needs of each book category, effectively solving the current problem of no analysis and management of pre-purchase of books, breaking the limitations of the current analysis method in applicable scenarios, thereby ensuring the reliability and accuracy of book procurement plan formulation, and also greatly improving the pertinence and fit of book procurement.

[0056] 2. The present invention evaluates the circulation of each book category in each related university from three dimensions: copy situation, borrowing situation and reading situation, thereby realizing a multi-dimensional evaluation of the circulation of each book category in each related university, highlighting the circulation of each book category, providing a reliable reference basis for the subsequent adaptability analysis of book rotation in each related university, and also improving the reliability of the subsequent adaptability analysis results of book rotation in each related university.

[0057] 3. The present invention improves the utilization rate of book data in the libraries of related universities by analyzing the book rotation adaptability of related universities from the perspectives of book circulation, borrowing, completeness and location distance, fully highlighting the resource sharing concept among universities, not only effectively promoting the circulation of books among universities, but also reducing the purchase cost of books to the greatest extent when rotation is established, and at the same time promoting the utilization rate of books with poor circulation in libraries, thereby improving the purchase value of each book. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0059] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method.

[0060] Figure 2 It is a schematic diagram of the connection of each module of the system of the present invention. DETAILED DESCRIPTION

[0061] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0062] See also Figure 1 As shown, the present invention provides an educational information technology data collection and management method based on big data, the method comprising the following steps: Step 1, extracting the region, location and library-related book data of the target university, wherein the relevant book data includes existing book data, historical book borrowing data and historical book access data, and analyzing the target purchase book categories corresponding to the target university.

[0063] Specifically, the existing book data includes the number of existing book categories, the location of the reading room corresponding to each book category, the number of books, and the name, number of copies, name of the author, collection time and preservation integrity of each book in each book category.

[0064] It should be noted that the specific basis for judging the degree of preservation is: collecting surface images of the books, extracting the three-dimensional outline of the books, the number of worn parts of the books, and the overall worn area of ​​the books from the collected surface images.

[0065] Extract the initial 3D outline of the book from the book management platform, and then overlap and compare the 3D outline of the book with its initial 3D outline to obtain the overlapping area of ​​the 3D outline of the book with its initial 3D outline, which is recorded as S 重 .

[0066] The number of worn areas on the book and the total worn area of ​​the book are denoted as M 磨 and S 磨 , by calculating the formula The preservation integrity H is calculated, γ is the set preservation integrity assessment correction coefficient, α1, α2, α3 represent the preservation integrity assessment weights corresponding to the set book deformation, book wear area, and number of book wear locations, respectively, K, S′ and M′ represent the set reference contour overlap, reference wear area and reference wear, respectively, S 轮 is the initial 3D outline area of ​​the book.

[0067] The historical book borrowing data includes the book categories corresponding to each borrowed book on each historical borrowing day and the number of defective borrowed books returned on each historical borrowing day.

[0068] The historical book visit data includes the flow of people and the average reading time in each reading room on each open day.

[0069] Furthermore, the specific analysis process of the target purchased book categories corresponding to the target universities is as follows: Step 1-1, extract the preservation integrity of each book in each book category from the existing book data of the target university, and calculate the preservation integrity ratio of each book category, denoted as R i .

[0070] It should be noted that the specific calculation process for calculating the preservation integrity ratio corresponding to each book category is: compare the preservation integrity of each book corresponding to each book category with the set reference book preservation integrity; if the preservation integrity of a book corresponding to a certain book category is greater than or equal to the set reference book preservation integrity, then the book in the book category is considered a good book, and the number of good books corresponding to each book category is counted.

[0071] Step 1-2: Extract the collection time of each book in each book category from the existing book data of the target university, and count the number of books to be updated in each book category, recorded as D i .

[0072] It should be noted that the specific statistical process for the number of books to be updated in each book category includes: comparing the cumulative collection time of each book corresponding to each book category with the set reference update time corresponding to each book category; if the cumulative collection time of a book in a certain book category is longer than its reference update time, then the book in the book category will be treated as a book to be updated, thereby obtaining the number of books to be updated corresponding to each book category.

[0073] Step 1-3: Extract the book categories corresponding to each borrowed book on each borrowing day from the historical book borrowing data of the target university, and then count the average number of borrowed books corresponding to each book category, denoted as M i .

[0074] It should be noted that the statistical process for calculating the average number of borrowed books corresponding to each book category is as follows: the book categories corresponding to each borrowed book on each historical borrowing day are compared with each other, the number of borrowed books corresponding to each book category on each historical borrowing day is screened out, and the average number of borrowed books corresponding to each book category is calculated by the mean.

[0075] Step 1-4: Use the historical borrowing dates as the horizontal axis and the number of borrowed books as the vertical axis to construct a borrowing curve corresponding to each book category. At the same time, use the average number of borrowed books as a reference value to construct a reference borrowing curve corresponding to each book category. This will analyze the borrowing stability and borrowing demand corresponding to each book category, which are recorded as Δf respectively. i and X i .

[0076] It should be noted that the specific analysis process of the borrowing stability and borrowing demand of each book category includes the following steps: locating the borrowing number amplitude and the number of extreme points corresponding to each book category from the borrowing curve graph corresponding to each book category, recorded as A i and M 极 i .

[0077] Calculate the borrowing stability Δf corresponding to each book category i , the specific calculation formula is as follows: Among them, ω1 and ω2 represent the weights of borrowing stability assessment corresponding to the set amplitude and number of extreme points, respectively, and n represents the number of book categories.

[0078] The number of curve segments located above and below the reference borrowing curve graph in the borrowing curve graph corresponding to each book category is located from the borrowing curve graph corresponding to each book category.

[0079] The curve segment located above the reference borrowing curve is recorded as the ascending curve segment, and the curve segment located below the reference borrowing curve is recorded as the descending curve segment. The total length of the ascending curve segment and the total length of the descending curve segment corresponding to each book category are calculated and recorded as l 上 i and l 下 i .

[0080] Calculate the borrowing demand X corresponding to each book category i , the specific calculation formula is as follows: k 0 is the total length ratio of the reference rising curve.

[0081] Step 1-5: Set the purchase compensation factor corresponding to each book category, denoted as η i The specific setting process is as follows: extract the reading room location corresponding to each book category from the existing book data of the target university, and then locate the flow rate and average reading time corresponding to each book category in the reading room on each historical opening day of the library from the historical book access data of the target university, which are recorded as Q i t and t represents the opening day number, t=1,2,......m.

[0082] The highest traffic volume and the highest average reading time are extracted from the traffic volume and the average reading time corresponding to each reading room of each book category on each opening day in the history of the library, and are recorded as Q max i and Tmax i .

[0083] Calculate the purchase compensation factor η corresponding to each book category i , the specific calculation formula is as follows:

[0084]

[0085] In the formula, m represents the number of historical open days, ΔQ and ΔT represent the set reference flow deviation and reference reading time deviation, respectively.

[0086] Step 1-6: Calculate the purchase demand evaluation index corresponding to each book category and record it as CG i , the specific calculation formula is as follows:

[0087] Wherein, a1, a2, a3, a4, and a5 represent the weights of procurement demand assessment corresponding to the preservation ratio, the number of books to be updated, the average number of borrowed books, the borrowing stability, and the borrowing demand, respectively; a2>a1>a3>a5>a4; R′, D′, M′, Δf′, and X′ represent the set reference preservation ratio, the reference number of books to be updated, the reference number of borrowed books, the reference borrowing stability, and the reference borrowing demand, respectively; and e is a natural constant.

[0088] Steps 1-7: Compare the purchase demand assessment indexes corresponding to each book category, select the book category with the largest purchase demand assessment index, and use it as the target purchase book category corresponding to the target university.

[0089] The embodiment of the present invention evaluates book procurement needs from four levels: book preservation, collection time, borrowing data, and access data, intuitively displays the procurement demand status of each book category, and realizes in-depth evaluation of the procurement needs of each book category, effectively solving the current problem of no analysis and management of pre-purchase of books, breaking the limitations of the applicable scenarios of current analysis methods, thereby ensuring the reliability and accuracy of book procurement plan formulation, and also greatly improving the pertinence and fit of book procurement.

[0090] Step 2: Record all universities in the same region as the target university as related universities, extract the location and library-related book data of each related university from the teaching management platform, and analyze the circulation evaluation index corresponding to each book category in each related university, recorded as LT ij , i represents the book category number, i=1,2,......n, j represents the associated university number, j=1,2,......u.

[0091] Specifically, the specific analysis process of the circulation evaluation index corresponding to each book category in each associated university is as follows: Step 2-1, extract the number of copies of each book in each book category from the library-related book data of each associated university, and calculate the copy rate corresponding to each book category of each associated university, recorded as p ij .

[0092] It should be noted that the specific calculation process of the copy rate of each associated university corresponding to each book category is as follows: Count the number of books with a copy number greater than 0 in each associated university corresponding to each book category, denoted as M 复 ij .

[0093] Calculate the copy rate p of each book category corresponding to each associated university ij , the specific calculation formula is as follows: M 0 ij It indicates the number of books corresponding to the i-th book category of the j-th associated university.

[0094] Step 2-2: Extract the book categories corresponding to each borrowed book in each historical borrowing day from the library-related book data of each associated university, and count the number of historical borrowing days and the number of borrowed books corresponding to each book category of each associated university, which are recorded as N ij and M 借 ij .

[0095] Step 2-3: extract the reading room location corresponding to each book category from the library-related book data of each associated university, and then extract the flow of people and average reading time corresponding to each book category in the reading room on each historical open day from the historical book access data of the library in each associated university, and calculate the average to obtain the average flow of people and average reading time corresponding to each book category in the reading room of each associated university, which are recorded as and

[0096] Step 2-4: Calculate the circulation evaluation index LT corresponding to each book category in each associated university ij , the specific calculation formula is as follows:

[0097] In the formula, c1 and c2 are the weights of circulation evaluation corresponding to the borrowing level and reading level, respectively; k1, k2, k3, and k4 represent the borrowing day ratio, borrowing book ratio, traffic ratio, and reading time ratio of the reference, respectively; p′ is the reference copy rate, and Z j is the number of historical borrowing days of the jth associated university library.

[0098] The embodiment of the present invention evaluates the circulation of each book category in each related college from three dimensions: copy situation, borrowing situation and reading situation, thereby realizing a multi-dimensional evaluation of the circulation of each book category in each related college, highlighting the circulation of each book category, providing a reliable reference basis for the subsequent analysis of the adaptability of book rotation in each related college, and improving the reliability of the subsequent analysis results of the adaptability of book rotation in each related college.

[0099] Step 3: Analyze the book rotation adaptability of each associated university. The specific analysis process is as follows: Step 3-1: Set the book rotation interference factors of the circulation level and the borrowing level of each associated university, which are denoted as τ j and

[0100] Furthermore, the specific setting process of the book rotation interference factors corresponding to the circulation level and the borrowing level of each associated university is as follows: the circulation evaluation index of the target purchased book category is located from the circulation evaluation index corresponding to each book category in each associated university, recorded as HX′ j .

[0101] Calculate the book rotation interference factor τ corresponding to the circulation level of each associated university j , the specific calculation formula is as follows:

[0102] The number of defective borrowed books returned on each borrowing day in history is extracted from the library-related book data of each related university. The number of borrowing days with defective borrowed books and the number of defective borrowed books returned are counted, which are recorded as N 缺 j and M 归 j .

[0103] The historical borrowing days and borrowing books numbers of the target purchased book categories are located from the historical borrowing days and borrowing books numbers of each book category of each associated university, and are recorded as N′ j and

[0104] Calculate the book rotation interference factor at the corresponding borrowing level of each associated university The specific calculation formula is as follows:

[0105] In the formula, g1 and g2 represent the borrowing-level assessment weights corresponding to the number of defective borrowing days and the number of defective borrowings, respectively, and k 5 , k 6 They are respectively expressed as the set reference defective loan date ratio and defective loan number ratio.

[0106] Step 3-2: Analyze the book completeness of the target purchase book category of each associated university, denoted as W j .

[0107] Furthermore, the specific analysis process of the book completeness of the target purchase book categories of each associated university is as follows: construct the book information set of the target purchase book categories of each associated university and the book information set of the target purchase book categories of the target university, which are respectively denoted as A j and B.

[0108] In a specific embodiment, the book information sets corresponding to the target purchased book categories of each associated university and the book information sets corresponding to the target purchased book categories of the target university are constructed in the same principle. The basis for constructing the book information sets corresponding to the target purchased book categories of each associated university is: marking the names and authors' names of each book in the target purchased book categories of the associated university, thereby constructing the book information sets corresponding to the target purchased book categories of each associated university.

[0109] The number of books in the target purchase book category of each associated university and target university is recorded as M 关 j and M 目 .

[0110] Extract the preservation integrity of each book in the target purchase book category of each associated university, and calculate the preservation integrity ratio of the target purchase books of each associated university, denoted as R 目 j .

[0111] Calculate the book completeness W of the target purchased book categories of each associated university j , the specific calculation formula is as follows:

[0112]

[0113] In the formula, r1, r2, and r3 represent the book completeness evaluation weight factors corresponding to the set book similarity, number of books, and book preservation ratio, respectively; χ is the set completeness evaluation correction factor; R′ 目 The books suitable for rotation are well preserved.

[0114] Step 3-3: Extract the location of each associated university and compare it with the location of the target university to obtain the distance L between the location of each associated university and the location of the target university. j .

[0115] Step 3-4: Calculate the book rotation fitness corresponding to each associated university and record it as SP j , the specific calculation formula is as follows:

[0116] In the formula, ζ is the set book rotation adaptation evaluation compensation factor, f1 and f2 are the rotation adaptation evaluation weights corresponding to the book completeness and distance, respectively, and h1 and h2 are the interference evaluation compensation factors corresponding to the set circulation level and borrowing level, respectively.

[0117] The embodiment of the present invention improves the utilization rate of book data in the libraries of each related university by analyzing the book rotation adaptability of each related university from the perspective of book circulation, borrowing, completeness and location distance, fully highlights the resource sharing concept among universities, and not only effectively promotes the circulation of books among universities, but also reduces the purchase cost of books to the greatest extent when rotation is established. At the same time, it also promotes the utilization rate of books with poor circulation in the library and improves the purchase value of each book.

[0118] Step 4: Determine the procurement method of the target university. If the procurement method is university rotation, proceed to step (1); if the procurement method is regular procurement, proceed to step (2).

[0119] (1) The associated university with the highest book rotation adaptability is selected as the target rotation university, and a rotation request instruction is sent to the target rotation university.

[0120] (2) Send book purchasing instructions to book purchasing managers.

[0121] See also Figure 2 As shown, the present invention provides an educational informationization data collection and management system based on big data, which includes: a target university information extraction and analysis module, a related university information extraction and analysis module, a university book rotation adaptation analysis module and a university book procurement determination feedback terminal.

[0122] In the above, the university book rotation adaptation analysis module is respectively connected with the target university information extraction analysis module, the related university information extraction analysis module and the university book procurement determination feedback terminal.

[0123] The target university information extraction and analysis module is used to extract the region, location and library-related book data of the target university, and analyze the target purchase book categories corresponding to the target university.

[0124] The associated college information extraction and analysis module is used to record colleges and universities in the same region as the target college as associated colleges and universities, extract the location of each associated college and library-related book data, and analyze the circulation evaluation index corresponding to each book category in each associated college and university.

[0125] The university book rotation adaptation analysis module is used to analyze the book rotation adaptation degree corresponding to each associated university.

[0126] The university book procurement determination feedback terminal is used to determine the procurement method of the target university and provide feedback.

[0127] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A data collection and management method for educational informatization based on big data, characterized by: The method comprises the following steps: Extract the region, location and library-related book data of the target university, where the relevant book data includes existing book data, historical book borrowing data and historical book access data, and analyze the target purchase book categories corresponding to the target university; The universities in the same region as the target university are recorded as associated universities. The location and library-related book data of each associated university are extracted from the teaching management platform. The circulation evaluation index corresponding to each book category in each associated university is analyzed and recorded as LT ij , i represents the book category number, i=1,2,......n, j represents the associated university number, j=1,2,......u; Analyze the book rotation adaptability of each associated university; Determine the target university's procurement method. If the procurement method is university rotation, proceed to step (1); if the procurement method is conventional procurement, proceed to step (2); (1) The associated university with the highest book rotation adaptability is selected as the target rotation university, and a rotation request instruction is sent to the target rotation university; (2) Send book purchasing instructions to book purchasing management personnel; The specific analysis process of the circulation evaluation index corresponding to each book category in each associated university is as follows: Extract the number of copies of each book in each book category from the library-related book data of each associated university, and calculate the copy rate corresponding to each book category of each associated university, denoted as p ij ; Extract the book categories corresponding to each borrowed book in each historical borrowing day from the library-related book data of each associated university, and count the number of historical borrowing days and the number of borrowed books corresponding to each book category of each associated university, which are recorded as N ij and M 借 ij ; The reading room locations corresponding to each book category are extracted from the library-related book data of each associated university. The flow of people and the average reading time of each reading room in each book category on each historical open day are extracted from the historical book access data of the libraries of each associated university. The average is calculated to obtain the average flow of people and the average reading time of each reading room in each associated university corresponding to each book category, which are recorded as and Calculate the circulation evaluation index LT corresponding to each book category in each associated university ij , the specific calculation formula is as follows: In the formula, c1 and c2 are the weights of circulation evaluation corresponding to the borrowing level and reading level, respectively; k1, k2, k3, and k4 represent the borrowing day ratio, borrowing book ratio, traffic ratio, and reading time ratio of the reference, respectively; p′ is the reference copy rate, and Z j is the number of historical borrowing days of the jth associated university library; The specific analysis process of the book rotation adaptability corresponding to each associated university includes: Set the book rotation interference factors corresponding to the circulation level and borrowing level of each associated university, denoted as τ j and Analyze the book completeness of the target purchased book categories of each associated university, denoted as W j ; Extract the location of each related university and compare it with the location of the target university to obtain the distance L between the location of each related university and the location of the target university j ; Calculate the book rotation fitness corresponding to each associated university and record it as SP j , the specific calculation formula is as follows: In the formula, ζ is the set book rotation adaptation evaluation compensation factor, f1 and f2 are the rotation adaptation evaluation weights corresponding to the book completeness and distance, respectively, and h1 and h2 are the interference evaluation compensation factors corresponding to the set circulation level and borrowing level, respectively. The specific setting process of the book rotation interference factors corresponding to the circulation level and the borrowing level of each associated university is as follows: The circulation evaluation index of the target purchased book category is located from the circulation evaluation index corresponding to each book category in each related university, denoted as HX j ′; Calculate the book rotation interference factor τ corresponding to the circulation level of each associated university j , the specific calculation formula is as follows: The number of defective borrowed books returned on each borrowing day in history is extracted from the library-related book data of each related university. The number of borrowing days with defective borrowed books and the number of defective borrowed books returned are counted, which are recorded as N 缺 j and M 归 j ; The historical borrowing days and borrowing books numbers of the target purchased book categories are located from the historical borrowing days and borrowing books numbers of each book category of each associated university, which are recorded as N j ′ and M′ 借 j ; Calculate the book rotation interference factor at the corresponding borrowing level of each associated university The specific calculation formula is as follows: In the formula, g1 and g2 represent the borrowing-level assessment weights corresponding to the set number of defective borrowing days and the number of defective borrowings, respectively; k5 and k6 represent the set reference defective borrowing date ratio and defective borrowing number ratio, respectively.

2. The method for collecting and managing educational information technology based on big data as claimed in claim 1, characterized in that: The existing book data includes the number of existing book categories, the location of the reading room corresponding to each book category, the number of books, and the name, number of copies, name of the author, collection time and preservation integrity of each book in each book category; The historical book borrowing data includes the book categories corresponding to each borrowed book on each historical borrowing day and the number of defective borrowed books returned on each historical borrowing day; The historical book visit data includes the flow of people and the average reading time in each reading room on each open day.

3. The method for collecting and managing educational information technology based on big data as claimed in claim 2, characterized in that: The specific analysis process of the target purchase book categories corresponding to the target universities is as follows: Extract the preservation degree of each book in each book category from the existing book data of the target university, and calculate the preservation ratio of each book category, denoted as R i ; Extract the collection time of each book in each book category from the existing book data of the target university, and count the number of books to be updated in each book category, which is recorded as D i ; Extract the book categories corresponding to each borrowed book on each borrowing day from the historical book borrowing data of the target university, and then count the average number of borrowed books corresponding to each book category, denoted as M i ; Taking the historical borrowing dates as the horizontal axis and the number of borrowed books as the vertical axis, we construct the borrowing curve corresponding to each book category. At the same time, we take the average number of borrowed books as the reference value and construct the reference borrowing curve corresponding to each book category. We analyze the borrowing stability and borrowing demand corresponding to each book category, which are recorded as Δf respectively. i and X i ; Set the purchase compensation factor corresponding to each book category, denoted as η i ; Calculate the purchase demand evaluation index corresponding to each book category and record it as CG i , the specific calculation formula is as follows: In the formula, a1, a2, a3, a4, and a5 represent the weights of the purchase demand assessment corresponding to the preservation ratio, the number of books to be updated, the average number of borrowed books, the borrowing stability, and the borrowing demand, respectively; a2>a1>a3>a5>a4; R′, D′, M′, Δf′, and X′ represent the reference preservation ratio, the reference number of books to be updated, the reference number of borrowed books, the reference borrowing stability, and the reference borrowing demand, respectively; and e is a natural constant; The purchasing demand assessment indexes corresponding to each book category are compared, and the book category with the largest purchasing demand assessment index is selected and used as the target purchasing book category corresponding to the target university.

4. The method for collecting and managing educational information technology based on big data as claimed in claim 3, characterized in that: The specific setting process of the purchase compensation factor corresponding to each book category is as follows: The location of the reading room corresponding to each book category is extracted from the existing book data of the target university. Based on this, the flow of people and the average reading time corresponding to each book category in the reading room on each historical opening day of the library are located from the historical book access data of the target university, which are recorded as Q i t and t represents the opening day number, t=1,2,......m; The highest traffic volume and the highest average reading time are extracted from the traffic volume and the average reading time corresponding to each reading room of each book category on each opening day in the history of the library, and are recorded as Q max i and T max i ; Calculate the purchase compensation factor η corresponding to each book category i , the specific calculation formula is as follows: In the formula, m represents the number of historical open days, n represents the number of book categories, ΔQ and ΔT represent the set reference flow deviation and reference reading time deviation, respectively.

5. The method for collecting and managing educational information technology based on big data as claimed in claim 1, characterized in that: The specific analysis process of the book completeness of the target purchased book categories of each associated university is as follows: Construct a book information set of the target purchased book categories corresponding to each associated university and a book information set of the target purchased book categories corresponding to the target university, which are denoted as A j and B; The number of books in the target purchase book category of each associated university and target university is recorded as M 关 j and M 目 ; Extract the preservation integrity of each book in the target purchase book category of each associated university, and calculate the preservation integrity ratio of the target purchase books of each associated university, denoted as R 目 j ; Calculate the book completeness W of the target purchased book categories of each associated university j , the specific calculation formula is as follows: In the formula, r1, r2, and r3 represent the book completeness evaluation weight factors corresponding to the set book similarity, book number, and book preservation ratio, respectively; χ is the set completeness evaluation correction factor; R 目 ' is the preservation ratio of the books suitable for rotation.

6. An educational information data collection and management system based on big data, used to execute the method as claimed in claim 1, characterized in that: include: The target university information extraction and analysis module is used to extract the target university’s region, location, and library-related book data, and analyze the target purchase book categories corresponding to the target university; The module for extracting and analyzing the information of related universities is used to record the universities in the same region as the target university as related universities, extract the location of each related university and the relevant book data of the library, and analyze the circulation evaluation index corresponding to each book category in each related university; The university book rotation adaptation analysis module is used to analyze the book rotation adaptation degree corresponding to each related university; The university book procurement confirmation feedback terminal is used to determine the procurement method of the target university and provide feedback.

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