A book intelligent management system and method based on intelligent bookshelf

Abstract

The present invention discloses an intelligent management system and method for books based on an intelligent bookshelf, and belongs to the field of intelligent management systems. The present invention substitutes the acquired data on book changes during storage into a storage book change abnormality analysis strategy to perform storage book change abnormality analysis, acquires environmental data during storage into a storage environment abnormality analysis strategy to perform storage environment abnormality analysis, performs storage matching analysis on the acquired storage book change abnormality analysis results and storage environment abnormality analysis results, performs storage process early warning according to the storage matching analysis results, reminds management personnel to protect books, comprehensively evaluates the storage book change data during storage, and then comprehensively analyzes the storage book change abnormality analysis results and storage environment abnormality analysis results, performs quantitative analysis on book changes under the influence of storage environment, and improves the preservation capacity of books.

Description

Technical Field

[0001] The invention belongs to the field of intelligent management systems, and in particular to an intelligent book management system and method based on intelligent bookshelves. Background Art

[0002] The storage of books is a process that requires careful attention, because improper storage methods may cause damage to books. First of all, you should choose a dry, well-ventilated place that avoids direct sunlight to store books. The ultraviolet rays in the sun will accelerate the aging of paper and the fading of ink. At the same time, avoid placing books in a humid environment to prevent mildew. Keep the storage environment temperature between 14-24 degrees Celsius and the humidity between 45-60%, which will help prevent paper deformation and mildew. You can use air conditioners, dehumidifiers and other equipment to maintain such an environment;

[0003] In the process of book storage management, the existing technology is unable to comprehensively evaluate the change data of stored books during the storage process, which leads to the inability to comprehensively analyze the abnormal analysis results of stored book changes and storage environment abnormal analysis results, and thus the inability to quantitatively analyze the changes of books under the influence of the storage environment, resulting in poor preservation of books. Most of the existing technologies have the above problems;

[0004] The above patents all have the problems raised by this background technology. In order to solve the problems raised by this background technology, this application designs a book intelligent management system and method based on a smart bookshelf. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention proposes a book intelligent management system and method based on an intelligent bookshelf.

[0006] To achieve the above object, the present invention provides the following technical solution: a smart book management method based on a smart bookshelf, which comprises the following specific steps:

[0007] Acquire the data of book changes and environment during storage at the same interval;

[0008] Substituting the acquired data on the changes in the books during storage into the abnormal analysis strategy for stored book changes to perform abnormal analysis on the changes in stored books;

[0009] Obtain environmental data during storage and substitute it into the storage environment abnormality analysis strategy to perform storage environment abnormality analysis;

[0010] Perform storage matching analysis on the acquired storage book change abnormality analysis results and storage environment abnormality analysis results;

[0011] Based on the storage matching analysis results, early warning of the storage process is issued to remind management personnel to protect the books.

[0012] As a preferred technical solution of a smart book management method based on a smart bookshelf, the specific contents of acquiring the book change data and the environmental data during the storage process at the same interval are:

[0013] S11, setting an interval period, acquiring elastic modulus and image data of books on the smart bookshelf at each interval period, and storing them in a first storage component;

[0014] In this step, the elastic modulus of the book is obtained as follows: To obtain the elastic modulus of the book paper, a method similar to measuring the elastic modulus of the material can be adopted. The prior art can use a simple stretching device to measure the stress and strain relationship of the paper during the stretching process, thereby calculating the elastic modulus;

[0015] The method of obtaining the image data of the book is: using the image acquisition module to take photos of the first page, the middle page and the last page of the book to obtain the image data of the three pages;

[0016] In this step, the advantages of evaluating the quality of paper by image and elasticity mainly include the following aspects:

[0017] Images can intuitively display the appearance, color, texture and other characteristics of paper, making the evaluation process more intuitive and convenient. At the same time, by observing the image, we can find possible flaws, defects or stains on the paper, so as to have a more comprehensive understanding of the quality of the paper. The image and elasticity data are objective and not affected by subjective factors. Evaluating the quality of paper through images and elasticity has the advantages of intuitiveness, objectivity, quantitative analysis and wide application range, which can provide a more comprehensive, accurate and reliable basis for paper quality evaluation.

[0018] S12, acquiring temperature data and humidity data during storage in real time, and storing them in the second storage component;

[0019] As a preferred technical solution of a smart book management method based on a smart bookshelf, the step of substituting the acquired data on book changes during storage into a storage book change anomaly analysis strategy to perform storage book change anomaly analysis includes the following specific steps:

[0020] S21, obtaining elastic modulus and image data of books on the smart bookshelf, wherein the image data includes pixel value data of each pixel point in the blank area of ​​the image and text stroke image data in the text area;

[0021] S22, importing the obtained elastic modulus into the elastic modulus abnormal value calculation formula to calculate the elastic modulus abnormal value, wherein the elastic modulus abnormal value calculation formula is: , where F is the elastic modulus of the real-time book obtained, Fm is the median value of the set elastic modulus safety range, Fmax is the maximum value of the set elastic modulus safety range, and Fmin is the minimum value of the set elastic modulus safety range;

[0022] S23, obtaining pixel value data of each pixel point in the blank area of ​​the book image and importing it into a pixel abnormal value calculation formula to calculate the pixel abnormal value, wherein the pixel abnormal value calculation formula is: , where n is the number of acquisition pages, mi is the number of pixels in the blank position of the i-th acquisition page, L is the thickness of the book, Lm is the set standard value of the book thickness, Pij is the pixel value of the j-th pixel in the blank position of the i-th acquisition page, and Pis is the standard value of the pixel in the blank position of the i-th acquisition page;

[0023] S24, obtaining the text stroke image data of the text area of ​​the collection page of the book, and importing the text stroke image data of the text area of ​​the collection page of the book into the text abnormal value calculation formula to calculate the text abnormal value, wherein the text abnormal value calculation formula is: , where Gi is the number of characters on the i-th acquisition page, Mic is the stroke image data of the c-th character on the i-th acquisition page, Micv is the standard stroke image data of the c-th character on the i-th acquisition page, and S{} is the number of strokes in brackets;

[0024] S25, obtain the calculated elastic modulus abnormal value, pixel abnormal value and text abnormal value, and substitute them into the book abnormality analysis value calculation formula to calculate the book abnormality analysis value, wherein the book abnormality analysis value calculation formula is: , where a is the pixel anomaly ratio coefficient and exp() is the power of the natural constant e.

[0025] Through this step, the life and preservation status of books can be predicted by long-term monitoring and analysis of the elastic modulus, page pixels, and text stroke images of books, which helps to take timely measures to extend the life of books, such as adjusting the storage environment, repairing damaged parts, etc.;

[0026] As a preferred technical solution of a smart book management method based on a smart bookshelf, the step of substituting the acquired data on book changes during storage into a storage book change anomaly analysis strategy for storage book change anomaly analysis also includes the following specific steps:

[0027] S26, obtain the book abnormality analysis value calculated in the previous cycle and the book abnormality analysis value calculated in this cycle, and substitute them into the storage book change abnormality analysis value calculation formula to calculate the storage book change abnormality analysis value, wherein the storage book change abnormality analysis value calculation formula is: ,in, The abnormal analysis value of books calculated in this cycle, is the book abnormality analysis value calculated in the previous cycle, Set the standard value for the change speed, Td is the standard value for abnormal change analysis, is the ratio of the change rate.

[0028] As a preferred technical solution of a smart book management method based on a smart bookshelf, the acquisition of environmental data during storage and substituting it into a storage environment abnormality analysis strategy for storage environment abnormality analysis includes the following specific contents:

[0029] The real-time environmental data obtained during the book storage process is imported into the environmental anomaly value calculation method to calculate the environmental anomaly value, wherein the environmental anomaly value calculation method is: the environmental data at the corresponding moment is obtained minus the median value of the corresponding environmental data safety range, and the corresponding environmental data difference at the corresponding moment is obtained after taking the absolute value, and the corresponding environmental data standard deviation value at the corresponding moment is obtained by dividing the corresponding environmental data difference value at the corresponding moment by the range value of the corresponding environmental data safety range, and the corresponding environmental data standard deviation value at the corresponding moment of all periods is obtained. The obtained standard deviation value is integrated over time and divided by the period length to obtain the environmental anomaly value of the corresponding environmental type, and the weighted sum of the calculated environmental anomaly values ​​of all environmental types is obtained to obtain the environmental anomaly value.

[0030] As a preferred technical solution of a smart book management method based on a smart bookshelf, the storage matching analysis of the acquired storage book change abnormality analysis results and storage environment abnormality analysis results includes the following specific contents:

[0031] S41, obtain the calculated storage book change abnormal analysis value and environmental abnormal value, and substitute them into the matching abnormal value calculation formula to calculate the matching abnormal value, wherein the matching abnormal value calculation formula is: , where Sr is the environmental anomaly value, is the coefficient of abnormal analysis of books;

[0032] S42. Obtain the calculated matching anomaly value, and compare the calculated matching anomaly value with the set matching anomaly threshold. If the obtained matching anomaly value is greater than or equal to the set matching anomaly threshold, it means that the stored books do not match the storage environment. If the obtained matching anomaly value is less than the set matching anomaly threshold, it means that the stored books match the storage environment.

[0033] As a preferred technical solution of a smart book management method based on a smart bookshelf, the storage process warning is performed according to the storage matching analysis results obtained by analysis to remind the management personnel to protect the books, which includes the following specific steps:

[0034] The matching result between the stored books and the storage environment obtained by analysis is obtained. If the result obtained is that the stored books and the storage environment do not match, the management personnel is reminded to protect the books. If the result obtained is that the stored books and the storage environment match, the management personnel is not reminded to protect the books.

[0035] A smart book management system based on a smart bookshelf, which is implemented based on the above-mentioned smart book management method based on a smart bookshelf, and specifically includes a data acquisition module, a book change anomaly analysis module, an environmental anomaly analysis module, a storage matching analysis module, a reminder module and a control module;

[0036] Wherein, the data acquisition module is used to acquire the data of book changes during storage and the environmental data during storage at the same interval;

[0037] The book change anomaly analysis module is used to substitute the acquired book change data in the storage process into the storage book change anomaly analysis strategy to perform storage book change anomaly analysis;

[0038] The environment anomaly analysis module is used to obtain the environment data in the storage process and substitute it into the storage environment anomaly analysis strategy to perform storage environment anomaly analysis;

[0039] The storage matching analysis module is used to perform storage matching analysis on the acquired storage book change abnormality analysis results and storage environment abnormality analysis results;

[0040] The reminder module is used to issue a storage process warning based on the storage matching analysis results obtained by analysis, and remind the management personnel to protect the books;

[0041] The control module is used for controlling the operation of the data acquisition module, the book change abnormality analysis module, the environment abnormality analysis module, the storage matching analysis module and the reminder module.

[0042] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0043] The processor executes the above-mentioned intelligent book management method based on the intelligent bookshelf by calling the computer program stored in the memory.

[0044] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned intelligent book management method based on an intelligent bookshelf.

[0045] Compared with the prior art, the beneficial effects of this application are:

[0046] The present application obtains data on book changes during storage and environmental data during storage at the same interval, substitutes the obtained data on book changes during storage into a storage book change anomaly analysis strategy to perform storage book change anomaly analysis, obtains environmental data during storage into a storage environment anomaly analysis strategy to perform storage environment anomaly analysis, performs storage matching analysis on the obtained storage book change anomaly analysis results and storage environment anomaly analysis results, performs storage process warning based on the storage matching analysis results, reminds management personnel to protect books, conducts a comprehensive evaluation of the storage book change data during storage, and then conducts a comprehensive analysis of the storage book change anomaly analysis results and the storage environment anomaly analysis results, conducts a quantitative analysis of book changes under the influence of the storage environment, and improves the ability to preserve books. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 The figure is a schematic diagram of the overall process of a smart book management method based on a smart bookshelf according to the present invention;

[0048] Figure 2 This is a schematic diagram of step S1 of a smart book management method based on a smart bookshelf according to the present invention;

[0049] Figure 3 The figure is a schematic diagram of the overall framework of an intelligent book management system based on an intelligent bookshelf according to the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0051] Example 1

[0052] To solve the technical problem raised in the background technology: in the process of book storage management, the existing technology cannot comprehensively evaluate the change data of stored books during the storage process, which leads to the inability to comprehensively analyze the abnormal analysis results of stored book changes and the abnormal analysis results of storage environment, and thus the inability to quantitatively analyze the changes of books under the influence of storage environment, resulting in poor preservation ability of books;

[0053] The present invention provides a preferred embodiment: Figure 1 - Figure 2 As shown, a smart book management method based on a smart bookshelf includes the following specific steps:

[0054] S1, obtaining the data of book changes and environmental data during storage at the same interval;

[0055] In a specific embodiment, the specific contents of obtaining the book change data and the environment data during storage at the same interval are:

[0056] S11, setting an interval period, acquiring elastic modulus and image data of books on the smart bookshelf at each interval period, and storing them in a first storage component;

[0057] In this step, the elastic modulus of the book is obtained as follows: To obtain the elastic modulus of the book paper, a method similar to measuring the elastic modulus of the material can be adopted. The prior art can use a simple stretching device to measure the stress and strain relationship of the paper during the stretching process, thereby calculating the elastic modulus;

[0058] The method of obtaining the image data of the book is: using the image acquisition module to take photos of the first page, the middle page and the last page of the book to obtain the image data of the three pages;

[0059] In this step, the advantages of evaluating the quality of paper by image and elasticity mainly include the following aspects:

[0060] Images can intuitively display the appearance, color, texture and other characteristics of paper, making the evaluation process more intuitive and convenient. At the same time, by observing the image, we can find possible flaws, defects or stains on the paper, so as to have a more comprehensive understanding of the quality of the paper. The image and elasticity data are objective and not affected by subjective factors. Evaluating the quality of paper through images and elasticity has the advantages of intuitiveness, objectivity, quantitative analysis and wide application range, which can provide a more comprehensive, accurate and reliable basis for paper quality evaluation.

[0061] S12, acquiring temperature data and humidity data during storage in real time, and storing them in the second storage component;

[0062] During the storage of books, the temperature and humidity data have a significant impact on the books.

[0063] First of all, temperature is an important factor affecting the quality of books. High temperature will accelerate the rate of various chemical reactions in books, leading to problems such as paper aging and ink fading. For example, high temperature may cause the ink in books to smudge and decompose, resulting in unclear handwriting, affecting the reading and use of books. In addition, high temperature is also conducive to the growth and reproduction of some harmful organisms such as mold and insects, which will cause physical and chemical damage to books, such as eating away at paper and producing mildew spots.

[0064] Secondly, humidity is also a key factor affecting the quality of books. Paper has strong hygroscopicity and moisture release. When the ambient humidity is greater than the water content of the paper, the paper will absorb moisture, causing the paper to swell, deform, and lose strength. This is called the "flouncing" phenomenon. At the same time, a humid environment will also promote the growth and reproduction of harmful organisms such as mold, causing books to mold and rot. In addition, changes in humidity may also cause the handwriting in the book to fade and blur, because ink and other writing materials are prone to chemical reactions in a humid environment;

[0065] Therefore, in order to keep the books in good condition, the temperature and humidity need to be strictly controlled during storage. Generally speaking, the suitable temperature range for book storage is 14℃-24℃, and the relative humidity is 45%-60%. Within this range, the preservation effect of books is the best, which can effectively delay the aging of paper and the fading of ink. At the same time, it is also necessary to avoid drastic fluctuations in temperature and humidity, as this will cause greater damage to the books;

[0066] S2, substituting the acquired data on the changes of books in the storage process into the storage book change abnormality analysis strategy to perform storage book change abnormality analysis;

[0067] In a specific embodiment, substituting the acquired data on changes in books during storage into the storage book change abnormality analysis strategy to perform storage book change abnormality analysis includes the following specific steps:

[0068] S21, obtaining elastic modulus and image data of books on the smart bookshelf, wherein the image data includes pixel value data of each pixel point in the blank area of ​​the image and text stroke image data in the text area;

[0069] S22, importing the obtained elastic modulus into the elastic modulus abnormal value calculation formula to calculate the elastic modulus abnormal value, wherein the elastic modulus abnormal value calculation formula is: , where F is the elastic modulus of the real-time book obtained, Fm is the median value of the set elastic modulus safety range, Fmax is the maximum value of the set elastic modulus safety range, and Fmin is the minimum value of the set elastic modulus safety range;

[0070] S23, obtaining pixel value data of each pixel point in the blank area of ​​the book image and importing it into a pixel abnormal value calculation formula to calculate the pixel abnormal value, wherein the pixel abnormal value calculation formula is: , where n is the number of acquisition pages, mi is the number of pixels in the blank position of the i-th acquisition page, L is the thickness of the book, Lm is the set standard value of the book thickness, Pij is the pixel value of the j-th pixel in the blank position of the i-th acquisition page, and Pis is the standard value of the pixel in the blank position of the i-th acquisition page;

[0071] S24, obtaining the text stroke image data of the text area of ​​the collection page of the book, and importing the text stroke image data of the text area of ​​the collection page of the book into the text abnormal value calculation formula to calculate the text abnormal value, wherein the text abnormal value calculation formula is: , where Gi is the number of characters on the i-th acquisition page, Mic is the stroke image data of the c-th character on the i-th acquisition page, Micv is the standard stroke image data of the c-th character on the i-th acquisition page, and S{} is the number of strokes in brackets;

[0072] S25, obtain the calculated elastic modulus abnormal value, pixel abnormal value and text abnormal value, and substitute them into the book abnormality analysis value calculation formula to calculate the book abnormality analysis value, wherein the book abnormality analysis value calculation formula is: , where a is the pixel anomaly ratio coefficient, and exp() is the power of the natural constant e;

[0073] Taking elastic modulus anomalies, page pixel anomalies, and text stroke image anomalies into consideration can provide multifaceted information for evaluating book storage anomalies, thereby providing a more comprehensive understanding of the book's status and preservation. The following are the benefits of taking these anomalies into consideration:

[0074] Comprehensive understanding of the condition of books: Abnormal elastic modulus can reflect changes in the physical properties of paper, such as deformation, aging, etc.; abnormal page pixel values ​​can reveal changes in image quality, such as blurring, fading, etc.; abnormal text stroke images can show the clarity and integrity of handwriting. Taking these abnormalities into consideration, you can fully understand the overall condition of the book, including the preservation of paper, images, and text; Accurately identify storage problems: Different abnormalities may be caused by different storage problems. For example, abnormal elastic modulus may be caused by too high or too low humidity, abnormal page pixel values ​​may be caused by too strong or too weak light, and abnormal text stroke images may be caused by mold contamination or insect bites. Taking these abnormalities into consideration, you can more accurately identify storage problems that cause damage to books, so that corresponding measures can be taken to improve them; Effectively predict the life of books: Through long-term monitoring and analysis of the elastic modulus, page pixels, and text stroke images of books, the life and preservation status of books can be predicted, which helps to take timely measures to extend the life of books, such as adjusting the storage environment, repairing damaged parts, etc.;

[0075] In summary, comprehensive consideration of elastic modulus anomalies, page pixel anomalies, and text stroke image anomalies is of great significance for evaluating book storage anomalies. This helps to fully understand the condition of books, accurately identify storage problems, effectively predict the life of books, and improve the level of storage management;

[0076] S26, obtain the book abnormality analysis value calculated in the previous cycle and the book abnormality analysis value calculated in this cycle, and substitute them into the storage book change abnormality analysis value calculation formula to calculate the storage book change abnormality analysis value, wherein the storage book change abnormality analysis value calculation formula is: ,in, The abnormal analysis value of books calculated in this cycle, is the book abnormality analysis value calculated in the previous cycle, Set the standard value for the change speed, Td is the standard value for abnormal change analysis, is the proportion of change speed;

[0077] S3, obtaining environmental data during storage and substituting it into a storage environment abnormality analysis strategy to perform storage environment abnormality analysis;

[0078] In a specific embodiment, obtaining environmental data during storage and substituting it into a storage environment abnormality analysis strategy to perform storage environment abnormality analysis includes the following specific contents:

[0079] The real-time environmental data obtained during the book storage process is imported into the environmental anomaly value calculation method to calculate the environmental anomaly value, wherein the environmental anomaly value calculation method is: the environmental data at the corresponding moment is obtained minus the median value of the corresponding environmental data safety range, and the corresponding environmental data difference at the corresponding moment is obtained after taking the absolute value, and the corresponding environmental data standard deviation value at the corresponding moment is obtained by dividing the corresponding environmental data difference value at the corresponding moment by the range value of the corresponding environmental data safety range, and the corresponding environmental data standard deviation value at the corresponding moment of all cycles obtained is integrated over time and divided by the cycle length to obtain the environmental anomaly value of the corresponding environmental type, and the environmental anomaly value of all environmental types calculated is weighted summed to obtain the environmental anomaly value;

[0080] S4, performing storage matching analysis on the obtained storage book change abnormality analysis results and storage environment abnormality analysis results;

[0081] In a specific embodiment, performing storage matching analysis on the acquired storage book change abnormality analysis results and storage environment abnormality analysis results includes the following specific contents:

[0082] S41, obtain the calculated storage book change abnormal analysis value and environmental abnormal value, and substitute them into the matching abnormal value calculation formula to calculate the matching abnormal value, wherein the matching abnormal value calculation formula is: , where Sr is the environmental anomaly value, is the coefficient of abnormal analysis of books;

[0083] S42, obtaining the calculated matching abnormality value, and comparing the calculated matching abnormality value with the set matching abnormality threshold. If the obtained matching abnormality value is greater than or equal to the set matching abnormality threshold, it means that the stored books do not match the storage environment. If the obtained matching abnormality value is less than the set matching abnormality threshold, it means that the stored books match the storage environment.

[0084] S5. Provide early warning for the storage process based on the storage matching analysis results, and remind management personnel to protect the books;

[0085] In a specific embodiment, the storage process warning is performed according to the storage matching analysis result obtained by analysis, and the management personnel are reminded to protect the books, which includes the following specific steps:

[0086] The matching result between the stored books and the storage environment obtained by analysis is obtained. If the result obtained is that the stored books and the storage environment do not match, the management personnel is reminded to protect the books. If the result obtained is that the stored books and the storage environment match, the management personnel is not reminded to protect the books.

[0087] It should be noted here that the value-taking method of the book abnormality analysis ratio coefficient, environmental weighting, change speed ratio, change abnormality analysis standard value, change speed setting standard value and pixel abnormality ratio coefficient includes a fitting method, and the preferred value-taking method is: obtaining 500 sets of book change data and environmental data during storage, substituting them into the matching abnormality value calculation formula to calculate the matching abnormality value, obtaining the result of whether the book will be damaged within the set period, importing the result of whether damage will occur and the calculated matching abnormality value into the fitting software, and outputting the book abnormality analysis ratio coefficient, environmental weighting, change speed ratio, change abnormality analysis standard value, change speed setting standard value and pixel abnormality ratio coefficient that meet the maximum damage judgment accuracy.

[0088] The advantages of this embodiment over the prior art are as follows: data on book changes during storage and environmental data during storage are obtained at the same periodic intervals, the obtained data on book changes during storage are substituted into a storage book change anomaly analysis strategy to perform storage book change anomaly analysis, the obtained environmental data during storage is substituted into a storage environment anomaly analysis strategy to perform storage environment anomaly analysis, storage matching analysis is performed on the obtained storage book change anomaly analysis results and storage environment anomaly analysis results, storage process warnings are performed based on the storage matching analysis results, management personnel are reminded to protect books, a comprehensive evaluation is performed on the storage book change data during storage, and then a comprehensive analysis is performed on the storage book change anomaly analysis results and storage environment anomaly analysis results, a quantitative analysis is performed on book changes under the influence of the storage environment, and the ability to preserve books is improved.

[0089] Example 2

[0090] like Figure 3 As shown, a book intelligent management system based on a smart bookshelf is implemented based on the above-mentioned book intelligent management method based on a smart bookshelf, which specifically includes a data acquisition module, a book change abnormality analysis module, an environmental abnormality analysis module, a storage matching analysis module, a reminder module and a control module;

[0091] The data acquisition module is used to acquire the data of book changes and the environmental data during the storage process at the same interval;

[0092] The book change abnormality analysis module is used to substitute the acquired book change data in the storage process into the storage book change abnormality analysis strategy to perform storage book change abnormality analysis;

[0093] An environmental anomaly analysis module is used to obtain environmental data during storage and substitute it into the storage environment anomaly analysis strategy to perform storage environment anomaly analysis;

[0094] A storage matching analysis module is used to perform storage matching analysis on the acquired storage book change abnormality analysis results and storage environment abnormality analysis results;

[0095] The reminder module is used to issue early warnings during the storage process based on the storage matching analysis results, and remind managers to protect books;

[0096] The control module is used for controlling and operating the data acquisition module, the book change anomaly analysis module, the environment anomaly analysis module, the storage matching analysis module and the reminder module.

[0097] Example 3

[0098] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0099] The processor executes the above-mentioned intelligent book management method based on the intelligent bookshelf by calling the computer program stored in the memory.

[0100] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement a smart book management method based on a smart bookshelf provided in the above method embodiment. The electronic device may also include other components for implementing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input / output interface to input and output data. This embodiment will not be described in detail here.

[0101] Example 4

[0102] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0103] When the computer program runs on a computer device, the computer device executes the above-mentioned intelligent book management method based on the intelligent bookshelf.

[0104] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0105] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. A method for intelligent book management based on an intelligent bookshelf, characterized in that: It includes the following specific steps: Acquire the data of book changes and environment during storage at the same interval; Substituting the acquired data on the changes in the books during storage into the abnormal analysis strategy for stored book changes to perform abnormal analysis on the changes in stored books; Obtain environmental data during storage and substitute it into the storage environment abnormality analysis strategy to perform storage environment abnormality analysis; Perform storage matching analysis on the acquired storage book change abnormality analysis results and storage environment abnormality analysis results; According to the storage matching analysis results, early warning of the storage process is carried out to remind management personnel to protect books; Substituting the acquired data on book changes during storage into the storage book change abnormality analysis strategy to perform storage book change abnormality analysis includes the following specific steps: S21, obtaining elastic modulus and image data of books on the smart bookshelf, wherein the image data includes pixel value data of each pixel point in the blank area of ​​the image and text stroke image data in the text area; S22, importing the obtained elastic modulus into the elastic modulus abnormal value calculation formula to calculate the elastic modulus abnormal value, wherein the elastic modulus abnormal value calculation formula is: , where F is the elastic modulus of the real-time book obtained, Fm is the median value of the set elastic modulus safety range, Fmax is the maximum value of the set elastic modulus safety range, and Fmin is the minimum value of the set elastic modulus safety range; S23, obtaining pixel value data of each pixel point in the blank area of ​​the book image and importing it into a pixel abnormal value calculation formula to calculate the pixel abnormal value, wherein the pixel abnormal value calculation formula is: , where n is the number of acquisition pages, mi is the number of pixels in the blank position of the i-th acquisition page, L is the thickness of the book, Lm is the set standard value of the book thickness, Pij is the pixel value of the j-th pixel in the blank position of the i-th acquisition page, and Pis is the standard value of the pixel in the blank position of the i-th acquisition page; S24, obtaining the text stroke image data of the text area of ​​the collection page of the book, and importing the text stroke image data of the text area of ​​the collection page of the book into the text abnormal value calculation formula to calculate the text abnormal value, wherein the text abnormal value calculation formula is: , where Gi is the number of characters on the i-th acquisition page, Mic is the stroke image data of the c-th character on the i-th acquisition page, Micv is the standard stroke image data of the c-th character on the i-th acquisition page, and S{} is the number of strokes in brackets; S25, obtain the calculated elastic modulus abnormal value, pixel abnormal value and text abnormal value, and substitute them into the book abnormality analysis value calculation formula to calculate the book abnormality analysis value, wherein the book abnormality analysis value calculation formula is: , where a is the pixel anomaly ratio coefficient, and exp() is the power of the natural constant e; Substituting the acquired data on book changes during storage into the storage book change abnormality analysis strategy for storage book change abnormality analysis also includes the following specific steps: S26, obtain the book abnormality analysis value calculated in the previous cycle and the book abnormality analysis value calculated in this cycle, and substitute them into the storage book change abnormality analysis value calculation formula to calculate the storage book change abnormality analysis value, wherein the storage book change abnormality analysis value calculation formula is: ,in, The abnormal analysis value of books calculated in this cycle, is the book abnormality analysis value calculated in the previous cycle, Set the standard value for the change speed, Td is the standard value for abnormal change analysis, is the change rate ratio; The acquisition of environmental data during storage and substituting it into the storage environment abnormality analysis strategy for storage environment abnormality analysis includes the following specific contents: The real-time environmental data obtained during the book storage process is imported into the environmental anomaly value calculation method to calculate the environmental anomaly value, wherein the environmental anomaly value calculation method is as follows: the environmental data at the corresponding moment is obtained minus the median value of the corresponding environmental data safety range, and the corresponding environmental data difference at the corresponding moment is obtained after taking the absolute value, and the corresponding environmental data standard deviation value at the corresponding moment is obtained by dividing the corresponding environmental data difference value at the corresponding moment by the range value of the corresponding environmental data safety range, and the corresponding environmental data standard deviation value at the corresponding moment of all periods is obtained. The obtained standard deviation value is integrated over time and divided by the period length to obtain the environmental anomaly value of the corresponding environmental type, and the weighted sum of the calculated environmental anomaly values ​​of all environmental types is obtained to obtain the environmental anomaly value.

2. The intelligent book management method based on the intelligent bookshelf according to claim 1, characterized in that: The storage matching analysis of the acquired storage book change abnormality analysis results and storage environment abnormality analysis results includes the following specific contents: S41, obtain the calculated storage book change abnormal analysis value and environmental abnormal value, and substitute them into the matching abnormal value calculation formula to calculate the matching abnormal value, wherein the matching abnormal value calculation formula is: , where Sr is the environmental anomaly value, is the coefficient of abnormal analysis of books; S42. Obtain the calculated matching anomaly value, and compare the calculated matching anomaly value with the set matching anomaly threshold. If the obtained matching anomaly value is greater than or equal to the set matching anomaly threshold, it means that the stored books do not match the storage environment. If the obtained matching anomaly value is less than the set matching anomaly threshold, it means that the stored books match the storage environment.

3. The intelligent book management method based on the intelligent bookshelf according to claim 2, characterized in that: The storage process warning is performed according to the storage matching analysis result obtained by analysis to remind the management personnel to protect the books, which includes the following specific steps: The matching result between the stored books and the storage environment obtained by analysis is obtained. If the result obtained is that the stored books and the storage environment do not match, the management personnel is reminded to protect the books. If the result obtained is that the stored books and the storage environment match, the management personnel is not reminded to protect the books.

4. The intelligent book management method based on the intelligent bookshelf according to claim 3, characterized in that: The specific contents of acquiring the book change data and the environment data during storage at the same interval are as follows: S11, setting an interval period, acquiring elastic modulus and image data of books on the smart bookshelf at each interval period, and storing them in a first storage component; S12. Acquire temperature data and humidity data during the storage process in real time, and store them in the second storage component.

5. A book intelligent management system based on a smart bookshelf, which is implemented based on the book intelligent management method based on a smart bookshelf as claimed in any one of claims 1 to 4, characterized in that: It specifically includes a data acquisition module, a book change anomaly analysis module, an environmental anomaly analysis module, a storage matching analysis module, a reminder module and a control module; Wherein, the data acquisition module is used to acquire the data of book changes during storage and the environmental data during storage at the same interval; The book change anomaly analysis module is used to substitute the acquired book change data in the storage process into the storage book change anomaly analysis strategy to perform storage book change anomaly analysis; The environment anomaly analysis module is used to obtain the environment data in the storage process and substitute it into the storage environment anomaly analysis strategy to perform storage environment anomaly analysis; The storage matching analysis module is used to perform storage matching analysis on the acquired storage book change abnormality analysis results and storage environment abnormality analysis results; The reminder module is used to issue a storage process warning based on the storage matching analysis results obtained by analysis, and remind the management personnel to protect the books; The control module is used for controlling the operation of the data acquisition module, the book change abnormality analysis module, the environment abnormality analysis module, the storage matching analysis module and the reminder module.

6. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the intelligent book management method based on the intelligent bookshelf as described in any one of claims 1 to 4 by calling the computer program stored in the memory.

7. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute a smart book management method based on a smart bookshelf as described in any one of claims 1 to 4.

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