Book issuing and publishing anti-piracy method

Abstract

The invention relates to the technical field of book publishing anti-theft management, and discloses a book issuing and publishing anti-piracy method, which comprises the following steps of 1, acquiring manuscript data of all chapters, operation records of all workers of a publishing house and issuing data of an issuing unit at all time points, classifying to form a manuscript data set, a publishing data set and an issuing data set; 2, according to the manuscript data set and the publication data set, working personnel and equipment numbers corresponding to each chapter are screened out, a corresponding matching data set is generated, and intelligent matching is high in safety; 3, according to the publication data set and the publication data set, analyzing a rejection ratio, an unsalable ratio and a variation trend of the unsalable ratio in a book publication process, and generating a corresponding unsalable index; and 4, setting a proportion threshold value and an index threshold value in a fixed range, judging the piracy risk in the book publishing process and the marketing effect in the issuing process, generating a corresponding early warning signal, and accurately judging the piracy risk.

Description

Technical Field

[0001] The invention relates to the technical field of book publishing anti-theft management, in particular to a book distribution and publishing anti-piracy method. Background Art

[0002] There are many security loopholes in the process of book distribution and publishing, which may threaten the originality of the work, copyright protection and consumer rights. Pirates infringe on the intellectual property rights of authors and publishers by illegally copying and selling books, and also damage the interests of readers. In order to prevent piracy, publishers need to strengthen copyright protection awareness and adopt advanced anti-piracy technologies such as digital watermarking and encryption technology. At the same time, strengthen employee training and education to improve their data protection awareness. Internal management loopholes are also one of the common security issues in the process of book distribution and publishing. For example, employees may leak sensitive information due to negligence or intentional, or there may be loopholes in internal processes that lead to data loss or damage. In order to prevent internal management loopholes, publishers should establish a sound internal management system and process and clarify the responsibilities and authority of employees. These measures can effectively reduce security risks and ensure the smooth progress of the book distribution and publishing process.

[0003] At present, the traditional anti-piracy method of book distribution and publishing mainly relies on packaging anti-counterfeiting technology. Once a security loophole appears within the publishing house, it is difficult to detect and prevent theft such as file downloading and content photography in time. When scrapped books are not destroyed in time, this provides pirates with an opportunity to recycle and utilize them. In the process of book distribution, the phenomenon of pirated books disrupting market order is often difficult to detect in time, which not only harms the interests of consumers, but also affects the sales of genuine books. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a method for preventing piracy in book distribution and publishing, which has the advantages of high security through intelligent matching and keen perception of changes in slow-selling books, and solves the problem of loopholes in the internal security management of publishing houses and difficulty in discovering pirated books occupying the market.

[0005] (II) Technical solution To achieve the above object, the present invention provides the following technical solution: a method for preventing piracy of book distribution and publication, comprising the following steps: Step 1: Connect the text creation platform and monitoring system through the network to obtain the manuscript data of all chapters, the operation records of all staff members of the publishing house, and the distribution data of all time points of the distribution unit, and classify them into manuscript data sets, publishing data sets, and distribution data sets; Step 2: Based on the manuscript dataset and publication dataset, filter out the staff and equipment numbers corresponding to each chapter and generate the corresponding matching data set ; Step 3: Analyze the scrapping ratio , slow-moving ratio and slow-moving ratio in the book distribution process based on the publication dataset and distribution dataset, and generate the corresponding slow-moving index ; Step 4: Set a proportional threshold and an index threshold , and then combine the scrapping ratio , slow-moving ratio and slow-moving index to judge the piracy risk in the book publication process and the marketing effect in the distribution process, and generate the corresponding warning signals.

[0006] Preferably, in the above Step 1, the expression of the manuscript dataset is , to are the manuscript data of the first chapter to the th chapter uploaded by the author to the text creation platform respectively, represents the specific time of manuscript upload.

[0007] Preferably, in the above Step 1, the expression of the publication dataset is , to are the operation records of the first to the th staff members of the publishing house respectively, represents the operation duration of a single staff member, represents the device number used by a single staff member.

[0008] Preferably, in the above Step 1, the expression of the distribution dataset is , to are the distribution data of the first time point to the th time point of the distribution unit. The distribution data includes the printing quantity, distribution quantity, scrapping quantity and sales quantity, represents the specific time of obtaining the distribution data.

[0009] Preferably, in the above Step 2, the calculation process of the matching data group is as follows: Extract the manuscript data of the th chapter in the manuscript dataset and mark it as , then extract the manuscript data of the th chapter in the manuscript dataset and mark it as , extract the manuscript data of the th chapter in the manuscript dataset and mark it as , where , ; When allocating the review, editing, and proofreading tasks, according to , screen the operation records of the staff responsible for the review, editing, and proofreading of the manuscript data in the chapter of the publication dataset, and mark the list of staff responsible for the review, editing, and proofreading of the manuscript data in the chapter as the set , and mark the device numbers used by the staff responsible for the review, editing, and proofreading of the manuscript data in the chapter as the set ; ; According to , screen the operation records of the staff responsible for the review, editing, and proofreading of the manuscript data in the chapter of the publication dataset, and mark the list of staff responsible for the review, editing, and proofreading of the manuscript data in the chapter as the set , and mark the device numbers used by the staff responsible for the review, editing, and proofreading of the manuscript data in the chapter as the set ;

[0010] In the formula, represents the matching data group, represents the total list of all staff in the publishing house, represents the list of staff responsible for and in the review, editing, and proofreading, represents the difference set between the total list and the list of staff responsible for and in the review, editing, and proofreading, which is the number of people to be matched, represents the set of device numbers of all working devices in the publishing house, represents the set of device numbers responsible for and in the review, editing, and proofreading, represents the difference set between the set of all working device numbers and the set of device numbers responsible for and in the review, editing, and proofreading, which is the set of device numbers to be matched.

[0011] Preferably, in the third step, the calculation process of the scrap ratio is as follows: Extract the The release data at a time point, and mark the printing quantity at the nd time point as , mark the release quantity at the th time point as , mark the scrapped quantity at the th time point as ;

[0012] In the formula, represents the scrap ratio, represents the difference between the printing quantity and the release quantity, that is, the number of books to be destroyed, represents the ratio of the number of books to be destroyed to the scrap quantity at the th time point, which is the scrap ratio.

[0013] Preferably, in the third step, the unsold ratio is calculated as follows: According to the release data set, count the total release quantity at all time points and mark it as , count the total sales quantity at all time points and mark it as ;

[0014] In the formula, represents the unsold ratio, represents the difference between the total release quantity and the total sales quantity, that is, the number of books to be sold, represents the ratio of the number of books to be sold to the total release quantity, which is the unsold ratio.

[0015] Preferably, in the third step, the unsold index is calculated as follows:

[0016]

[0017] In the formula, represents the unsold index, represents the average unsold ratio during the time points, represents the unsold ratio at the th time point, represents the variance value obtained according to the variance formula, which is the unsold index.

[0018] Preferably, in the fourth step, if the scrap ratio If it is not equal to 1, it indicates that the disposal of the scrapped books is improper and there is a risk of piracy during the book publishing process, generating a corresponding piracy warning signal.

[0019] Preferably, in the fourth step, if the slow-moving ratio exceeds the ratio threshold or the slow-moving index exceeds the index threshold , it indicates that the marketing effect during the book distribution process is poor, generating a corresponding slow-moving warning signal.

[0020] Compared with the prior art, the present invention provides a method for preventing piracy in book distribution and publishing, having the following beneficial effects: 1. The present invention connects the text creation platform and the monitoring system through the network, obtains the manuscript data of all chapters, the operation records of all staff in the publishing house, and the distribution data at all time points of the distribution unit, and classifies and forms a manuscript data set, a publishing data set, and a distribution data set. According to the manuscript data set and the publishing data set, the corresponding staff and equipment numbers for each chapter are screened out, generating a corresponding matching data group , by ensuring that the personnel and equipment responsible for reviewing, editing, and proofreading the manuscript data of Chapter are inconsistent with the relevant personnel and equipment of the manuscript data of Chapter and Chapter , objectively avoiding the risk of internal personnel theft, and having high intelligent matching security.

[0021] 2. The present invention analyzes the scrapping ratio , slow-moving ratio and slow-moving ratio in the book distribution process through the publishing data set and the distribution data set, generating a corresponding slow-moving index . During the actual use process, the number of pages of each book is accurately determined, and then the scrapping ratio is calculated according to the number of pages, which can effectively avoid the recycling behavior of illegal personnel. Set the ratio threshold and index threshold to judge the piracy risk during the book publishing process and the marketing effect during the distribution process. If the scrapping ratio is not equal to 1, it indicates that the disposal of the scrapped books is improper and there is a risk of piracy during the book publishing process, generating a corresponding piracy warning signal. If the slow-moving ratio exceeds the ratio threshold or the slow-moving index exceeds the index threshold , it indicates that the marketing effect during the book distribution process is poor, keenly perceiving the change of slow-moving, and generating a corresponding slow-moving warning signal. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Since the traditional anti-piracy method of book distribution and publication mainly relies on packaging anti-counterfeiting technology, once a security loophole occurs within the publishing house, it is difficult to timely discover and prevent theft behaviors such as file downloading and content sneak shots. When scrapped books are not destroyed in time, this provides pirates with opportunities to recycle and use them. In the process of book distribution, the phenomenon of pirated books disrupting the market order is often difficult to discover in time, which not only harms the interests of consumers, but also affects the sales of genuine books. Therefore, a method for anti-piracy of book distribution and publication is provided. Please refer to Figure 1 , the method comprises the following steps: Step 1: Connect the text creation platform and monitoring system through the network to obtain the manuscript data of all chapters, the operation records of all staff members of the publishing house, and the distribution data of all time points of the distribution unit, and classify them into manuscript data sets, publishing data sets, and distribution data sets; The expression of the manuscript dataset is , to They are the first chapter to the chapter uploaded by the author to the text creation platform. Chapter manuscript data, Indicates the specific time when the manuscript was uploaded and comprehensively records the manuscript data, so as to facilitate the subsequent targeted protection of the serialized content uploaded by the author; The expression of the publication data set is , to The publishers ranked first to Operation records of staff members, Indicates the operation time of a single worker. Indicates the device number used by a single staff member. The monitoring system records the personnel's operation content in real time, which helps managers to promptly discover and prevent theft behaviors such as file downloading and content sneak shots. In actual use, computer equipment used for review, editing and proofreading should be used in a mobile manner to avoid a single staff member using the same computer equipment for a long time, thereby avoiding theft by internal personnel; The expression of the release data set is , to are the distribution data of the publishing unit from the first time point to the th time point. The distribution data includes the printing quantity, distribution quantity, scrapping quantity, and sales quantity. represents the specific time for obtaining the distribution data, which helps to quickly judge the security vulnerabilities in the book distribution process in the follow-up; Step 2: According to the manuscript dataset and the publication dataset, screen out the corresponding staff and equipment numbers for each chapter, and generate the corresponding matching data group , and its calculation process is as follows: Extract the manuscript data of the th chapter in the manuscript dataset and mark it as , then extract the manuscript data of the th chapter in the manuscript dataset and mark it as , extract the manuscript data of the th chapter in the manuscript dataset and mark it as , where , ; When allocating the review, editing, and proofreading tasks of , according to , screen out the operation records of the staff responsible for the review, editing, and proofreading of the manuscript data of the th chapter in the publication dataset, and mark the list of the staff responsible for the review, editing, and proofreading of the manuscript data of the th chapter as the set , and mark the equipment numbers used by the staff responsible for the review, editing, and proofreading of the manuscript data of the th chapter as the set ; According to , screen out the operation records of the staff responsible for the review, editing, and proofreading of the manuscript data of the th chapter in the publication dataset, and mark the list of the staff responsible for the review, editing, and proofreading of the manuscript data of the th chapter as the set , and mark the equipment numbers used by the staff responsible for the review, editing, and proofreading of the manuscript data of the th chapter as the set ;

[0025] In the formula, represents the matching data group, represents the total list of all the staff in the publishing house, represents the list set of the staff responsible for and the review, editing, and proofreading, Indicates the total list and the person in charge and The difference set of the staff list in the review, editing, and proofreading links is the number of people to be matched. Indicates the set of numbers of all working devices in the publishing house. Indicates the person in charge and The set of device numbers in the review, editing, and proofreading links. Indicates the difference set between the set of numbers of all working devices and the set of device numbers in the review, editing, and proofreading links for and which is the set of device numbers to be matched. By ensuring that the personnel and devices responsible for the review, editing, and proofreading of the manuscript data in Chapter are inconsistent with the personnel and devices related to the manuscript data in Chapter and Chapter the risk of internal personnel stealing is objectively avoided, and the intelligent matching has high security. Step 3: Analyze the scrap ratio , unsalable ratio and unsalable ratio in the book distribution process based on the publication dataset and the distribution dataset, and generate the corresponding unsalable index . The calculation process is as follows: Extract the distribution data at the th time point in the distribution dataset, and mark the printing quantity at the th time point as , mark the distribution quantity at the th time point as , and mark the scrap quantity at the th time point as ;

[0026] In the formula, represents the scrap ratio, represents the difference between the printing quantity and the distribution quantity, which is the number of books to be destroyed. represents the ratio of the number of books to be destroyed to the scrap quantity at the th time point, which is the scrap ratio. In actual use, by accurately counting the number of pages of each book and then calculating the scrap ratio according to the number of pages, the recycling behavior of illegal personnel can be effectively avoided; According to the distribution dataset, count the total distribution quantity at all time points and mark it as , count the total sales quantity at all time points and mark it as ;

[0027] In the formula, represents the slow-moving ratio, represents the difference between the total number of copies issued and the total number of copies sold, which is the number of books to be sold, represents the ratio of the number of books to be sold to the total number of copies issued, which is the slow-moving ratio;

[0028]

[0029] In the formula, represents the slow-moving index, represents the average slow-moving ratio during time points, represents the slow-moving ratio at the th time point, represents that according to the variance formula, the obtained variance value is the slow-moving index, and the in the slow-moving index time points are the same as the time points in the distribution dataset; Step Four: Set a proportional threshold with a fixed range and an index threshold , and then combine the scrapping ratio , the slow-moving ratio and the slow-moving index to judge the piracy risk in the book publishing process and the marketing effect in the distribution process. If the scrapping ratio is not equal to 1, it means that the handling of scrapped books is improper and there is a piracy risk in the book publishing process, generating a corresponding piracy warning signal. If the slow-moving ratio exceeds the proportional threshold or the slow-moving index exceeds the index threshold , it means that the marketing effect in the book distribution process is not good, keenly perceive the change in slow-moving, and generate a corresponding slow-moving warning signal.

[0030] Example 1: In this experiment, a suspense novel with the fifth chapter uploaded was selected as the experimental object. After statistics, the list of staff responsible for the manuscript data review, editing, and proofreading of the fourth chapter is and , and the equipment numbers used are 1, 2, and 3. The list of staff responsible for the manuscript data review, editing, and proofreading of the third chapter is and , and the equipment numbers used are 4, 5, and 6. The set of all staff names in the publishing house is The set of all equipment numbers of the publishing house is When assigning the tasks of reviewing, editing, and proofreading the manuscript data of the fifth chapter, match the data set The calculation formula is as follows:

[0031] In the formula, represents the matched data set, represents the difference set between the total list and the list of staff responsible for the review, editing, and proofreading of the third and fourth chapters, that is, the number of people to be matched corresponding to the fifth chapter, represents the difference set between the set of numbers of all working devices and the set of device numbers responsible for the review, editing, and proofreading of the third and fourth chapters, that is, the set of device numbers to be matched corresponding to the fifth chapter.

[0032] Example 2: In this experiment, a book publishing house was selected as the experimental object. After statistics, within a single day, the publishing house printed 100 copies of science fiction novels, the distribution quantity was 95 copies, and the scrapped quantity was 4 copies. The scrap ratio of this publishing house within a single day The calculation formula is as follows:

[0033] In the formula, represents the scrap ratio, and the number of books to be destroyed is copies, represents the scrap ratio of this science fiction novel of the publishing house within a single day. After judgment, 1 scrapped book was improperly handled, and there is a risk of piracy during the book publishing process, generating a corresponding piracy warning signal.

[0034] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for preventing piracy in book distribution and publication, characterized in that: The following steps are involved: Step 1: Connect the text creation platform and monitoring system through the network to obtain the manuscript data of all chapters, the operation records of all staff members of the publishing house, and the distribution data of all time points of the distribution unit, and classify them into manuscript data sets, publishing data sets, and distribution data sets; Step 2: Based on the manuscript dataset and publication dataset, filter out the staff and equipment numbers corresponding to each chapter and generate the corresponding matching data set ; Step 3: Analyze the scrap rate in the book distribution process based on the publishing dataset and the distribution dataset , unsalable ratio and unsalable ratio The changing trend of ; Step 4: Set a fixed range of ratio thresholds and index threshold , combined with the scrap ratio , unsalable ratio and unsalable index , judge the piracy risk in the book publishing process and the marketing effect in the distribution process, and generate corresponding early warning signals.

2. A method for preventing book distribution and publication from piracy according to claim 1, characterized in that: In step 1, the expression of the manuscript data set is: , to They are the first chapter to the chapter uploaded by the author to the text creation platform. Chapter manuscript data, Indicates the specific time when the manuscript was uploaded.

3. A method for preventing book distribution and publication from piracy according to claim 2, characterized in that: In step 1, the expression of the published data set is: , to The publishers ranked first to Operation records of staff members, Indicates the operation time of a single worker. Indicates the device ID used by a single worker.

4. A method for preventing book distribution and publication from piracy according to claim 3, characterized in that: In step 1, the expression of the released data set is: , to They are the issuing units from the first time point to the The issuance data at a certain point in time includes the number of prints, the number of circulations, the number of scraps and the number of sales. Indicates the specific time when the release data is obtained.

5. A method for preventing book distribution and publication from piracy according to claim 4, characterized in that: In step 2, matching data set The calculation process is as follows: Extract the manuscript data set Chapter manuscript data, and marked as , and then extract the first Chapter manuscript data, and marked as , extract the first Chapter manuscript data, and marked as ,in, , ; distribute When reviewing, editing and proofreading , screened the published data set and was responsible for The operation records of the staff in the review, editing and proofreading of the manuscript data of each chapter will be Chapter Manuscript Data List of reviewers, editors and proofreaders Mark as collection , will be responsible for Chapter Manuscript Data Equipment numbers used by reviewers, editors, and proofreaders are marked as a collection ; according to , screened the published data set and was responsible for The operation records of the staff in the review, editing and proofreading of the manuscript data of each chapter will be Chapter Manuscript Data List of reviewers, editors and proofreaders Mark as collection , will be responsible for Chapter Manuscript Data Equipment numbers used by reviewers, editors, and proofreaders are marked as a collection ; ； In the formula, Represents a matching data set, Represents the total list of all staff members of the publishing house, Responsible and A collection of names of reviewers, editors and proofreaders. Indicates the total list and responsible and The difference between the list of reviewers, editors, and proofreaders is the number of people to be matched. A collection of numbers representing all the working equipment of the publishing house. Responsible and A collection of equipment numbers for review, editing and proofreading. A collection of numbers representing all working equipment and the and The difference between the equipment number sets of the review, editing and proofreading stages is the equipment number set to be matched.

6. A method for preventing book distribution and publication from piracy according to claim 5, characterized in that: In the step 3, the scrap ratio The calculation process is as follows: Extract the first The issuance data at a point in time, and The number of prints at a time point is marked as , will The number of issues at a time point is marked as , will The scrapped quantity at a time point is marked as ; ； In the formula, Represents the scrap ratio, The difference between the number of printed copies and the number of issued copies is the number of books to be destroyed. Indicates the number of books to be destroyed and the The ratio of the scrapped quantity at a certain time point is the scrap ratio.

7. A method for preventing book distribution and publication from piracy according to claim 6, characterized in that: In the step 3, the unsalable ratio The calculation process is as follows: According to the issuance data set, the total issuance quantity at all time points is counted and marked as , count the total sales quantity at all time points and mark it as ; ； In the formula, represents the unsalable ratio, It represents the difference between the total number of publications and the total number of sales, that is, the number of books to be sold. The ratio of the number of books to be sold to the total number of books issued is called the unsalable ratio.

8. A method for preventing book distribution and publication from piracy according to claim 7, characterized in that: In step 3, the unsalable index The calculation formula is as follows: ； ； In the formula, represents the unsalable index, express The average unsalable ratio during the time period , Indicates The unsalable ratio at a certain time point, It means that according to the variance formula, the variance value obtained is the unsalable index.

9. A method for preventing book distribution and publication from piracy according to claim 8, characterized in that: In step 4, if the scrap ratio If it is not equal to 1, it means that the scrapped books are not handled properly, there is a risk of piracy in the book publishing process, and the corresponding piracy warning signal is generated.

10. A method for preventing book distribution and publication from piracy according to claim 9, characterized in that: In the step 4, if the unsalable ratio Exceeding the ratio threshold or unsalable index Exceeding index threshold , indicating that the marketing effect during the book distribution process is not good, and generating a corresponding slow-selling warning signal.

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