Family book sharing management method and system

Abstract

The present invention relates to the technical field of sharing management, and in particular to a family book sharing management method and system, which divides users to obtain target suppliers and target demanders, and then obtains idle information data of the target suppliers and demand information data of the target demanders respectively; based on the idle information data of the target suppliers and the demand information data of the target demanders, the target suppliers and target demanders are prioritized to construct a set; the set is analyzed to output a shared matching value, the matching degree of the target supplier and the target demander is judged, and a shared matching signal is generated; based on the replenishment signal, the replenishment speed is obtained, and a cloud book platform is controlled to replenish books; the present invention makes further analysis and judgment based on the obtained signal and the set data, takes the estimated rental and leasing time as the analysis object, obtains the replenishment time, and outputs the replenishment speed, so that the borrowing work of the demander can be effectively and orderly guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of sharing management, and in particular to a family book sharing management method and system. Background Art

[0002] Family books refer to books purchased by family members with money to meet the family members' needs for learning, quality improvement, entertainment, etc.

[0003] Chinese patent CN111311349A discloses a community intelligent shared book management system, including a central database and a shared book management platform and a security monitoring platform communicating with the central database. The shared book management platform has an administrator input module, a background management module, a user information registration module, a borrowing and returning registration module, and a book daily arrangement module. The user information registration module inputs the user's personal information. The user information registration module has a user points deduction module and a user points reward module. The first registered user obtains points reward in the user points reward module. The administrator input module inputs book information and registers the points required to borrow books.

[0004] In the existing technology, it is impossible to effectively perform data analysis on the target suppliers and target demanders, accurately judge the degree of matching between them, and based on the imbalance problem, how to use the estimated rental and leasing time as the analysis object and determine the replenishment speed to ensure the stable operation of the cloud book platform. Summary of the invention

[0005] The purpose of the present invention is to provide a family book sharing management method and system. The technical problem solved by the present invention is: how to determine the replenishment speed based on the estimated rental and leasing time to ensure the stable operation of the cloud book platform.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A family book sharing management method comprises the following steps:

[0008] Step 1: Divide users into target suppliers and target demanders, and then obtain the idle information data of the target suppliers and the demand information data of the target demanders respectively;

[0009] Step 2: Based on the idle information data of the target suppliers and the demand information data of the target demanders, the target suppliers and target demanders are prioritized and a set is constructed;

[0010] Step 3: Analyze set A and set B, output a shared matching value, judge the matching degree between the target supplier and the target demander, and generate a shared matching signal;

[0011] Step 4: Based on the replenishment signal, obtain the replenishment speed and control the cloud book platform to replenish books.

[0012] As a further solution of the present invention: in step 1, the idle information data includes the current idle time and the estimated rental time;

[0013] The current idle time is obtained as follows:

[0014] Get the current time and the last borrowing and returning time of the target supplier, calculate the difference between the current time and the last borrowing and returning time, and get the current idle time;

[0015] The estimated rental time can be obtained as follows:

[0016] Obtain the historical rental time of the target supplier each time, calculate the average, and obtain the estimated rental time.

[0017] As a further solution of the present invention: the demand information data includes the current demand time and the estimated rental time;

[0018] The current demand time is obtained as follows:

[0019] Get the current time and reservation time of the book rental of the demander, calculate the difference between the current time and reservation time, and get the current demand time;

[0020] The estimated rental time can be obtained as follows:

[0021] Obtain the historical borrowing time of each target demander, calculate the average, and estimate the rental time.

[0022] As a further solution of the present invention: in step 2, the process of constructing the set including constructing the set A is as follows:

[0023] Obtain the current idle time Tdz and estimated rental time Tyz of the target supplier, and calculate the idle evaluation value ZPz of the target supplier through the formula ZPz=a1*Tdz-a2*Tyz, where a1 and a2 are both proportional coefficients;

[0024] According to the idle evaluation value TPz of the target supplier, all the target suppliers of the cloud library platform are sorted from large to small to construct a set A.

[0025] As a further solution of the present invention: constructing the set also includes the construction process of set B as follows:

[0026] Obtain the current demand time and estimated rental time of the target demand side, and mark them as Tdx and Tyx respectively. Calculate the target demand side's demand assessment value ZPx through the formula ZPx=b1*Tdx-b2*Tyx, where b1 and b2 are both proportional coefficients;

[0027] According to the target demander's demand evaluation value ZPx, all target demanders of the cloud library platform are sorted from large to small to construct set B.

[0028] As a further solution of the present invention: in step 3, the process of generating the shared matching signal is:

[0029] Obtain the number of subsets in set A and the number of subsets in set B, mark them as the number of target suppliers and the number of target demanders respectively, calculate the ratio of the number of target suppliers to the number of target demanders, and obtain the number matching value;

[0030] Obtain a subset from set A and perform mean calculation to obtain the idle evaluation mean of the target supplier. Then obtain a subset from set B and perform mean calculation to obtain the demand evaluation mean of the target demander. Ratio calculation is performed between the idle evaluation mean and the demand evaluation mean to obtain the supply-demand matching value.

[0031] The number matching value and the supply-demand matching value are summed to obtain the shared matching value;

[0032] If the shared matching value is less than the preset shared matching range value, a replenishment signal is generated, requiring the cloud book platform to provide more books.

[0033] As a further solution of the present invention: in step 4, when the replenishment signal is obtained, the target supplier corresponding to each subset in set A is marked as the analysis supplier, and the target demander corresponding to each subset in set B is marked as the analysis demander;

[0034] Obtain the number of supplies from each analyzed supplier, add them up, and get the total supply. Then obtain the number of demands from each analyzed demander, add them up, and get the total demand.

[0035] Calculate the difference between the total demand and the total supply to get the total supply;

[0036] Then obtain the replenishment time, calculate the ratio of the total replenishment amount to the replenishment time, and get the replenishment speed.

[0037] As a further solution of the present invention: the replenishment time TB is calculated by the formula TB=KC1*TCX1+KC2*TCX3+...+KCi*TCXi;

[0038] Among them, KC i is the impact factor and TCX i is the estimated lease overlap period.

[0039] As a further solution of the present invention: the process of obtaining the impact factor is:

[0040] Compare the estimated rental time of each analyzed demand party to obtain the estimated rental overlap period TCXi, where i represents the number of overlap periods; and obtain the overlap number GXc of each overlap period, and then add up the rental amount corresponding to each overlap number to obtain the total overlap demand value ZXg;

[0041] Then, based on the overlap period TCX i, the overlap number GGc of each analyzed supplier is obtained, and then the supply quantity corresponding to each overlap number is added up to obtain the total overlap supply value ZGc;

[0042] By formula The impact factor KC i of each overlap period is calculated.

[0043] A family book sharing management system, the system comprising:

[0044] Collection module: divide users into target suppliers and target demanders, and then obtain the idle information data of the target suppliers and the demand information data of the target demanders respectively;

[0045] Analysis module: based on the idle information data of the target suppliers and the demand information data of the target demanders, prioritize the target suppliers and target demanders and build a set;

[0046] Judgment module: Analyzes set A and set B, outputs a shared matching value, judges the matching degree between the target supplier and the target demander, and generates a shared matching signal;

[0047] Management and control module: Based on the supply signal, obtain the supply speed and control the cloud book platform to replenish books.

[0048] Beneficial effects of the present invention:

[0049] (1) The present invention divides users into target suppliers and target demanders, and then obtains the idle information data of the target suppliers and the demand information data of the target demanders respectively; based on the idle information data of the target suppliers and the demand information data of the target demanders, the target suppliers and the target demanders are prioritized to construct a set; the set A and the set B are analyzed to output a shared matching value, the matching degree of the target supplier and the target demander is judged, and a shared matching signal is generated; the present invention analyzes and processes the target supplier and the target demander in terms of idle time and supply and demand time through a cloud library platform to accurately judge the matching degree of the target supplier and the target demander of the cloud library platform, thereby improving the completion of book sharing and rental work;

[0050] (2) The present invention obtains the replenishment speed based on the replenishment signal and controls the cloud book platform to replenish books. The present invention makes further analysis and judgment based on the obtained signal and the aggregate data, and takes the estimated rental and leasing time as the analysis object to obtain the replenishment time and output the replenishment speed, thereby effectively and orderly ensuring the borrowing work of the demander. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The present invention will be further described below in conjunction with the accompanying drawings.

[0052] Figure 1 is a flowchart of Embodiment 1 of the present invention;

[0053] Figure 2 is a flowchart of Embodiment 2 of the present invention;

[0054] Figure 3 It is a system block diagram of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0055] 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.

[0056] Example 1

[0057] See also Figure 1 As shown, the present invention is a family book sharing management method, comprising the following steps:

[0058] Step 1: Divide users into target suppliers and target demanders, and then obtain the idle information data of the target suppliers and the demand information data of the target demanders respectively;

[0059] Among them, the user classification method is: the users on the cloud library platform are classified according to the rental and leasing behaviors to obtain suppliers (need to rent books) and demanders (need to rent books), and then matched and classified according to the needs of the suppliers and demanders (the classification standard is: the supplier has all the books rented by the demander), and the target suppliers and target demanders are obtained;

[0060] Idle information data includes current idle time and estimated rental time;

[0061] Demand information data includes current demand time and estimated rental time;

[0062] In some implementation schemes, users on the cloud library platform are divided into suppliers and demanders according to their rental and leasing behaviors, and then divided into target suppliers and target demanders according to their mutual needs;

[0063] Obtain the current idle time, future idle time and estimated idle time of the target supplier;

[0064] Obtain the current demand time and estimated demand time of the target demander;

[0065] Among them, for the target suppliers:

[0066] The current idle time is obtained as follows:

[0067] Get the current time and the last borrowing and returning time of the target supplier, calculate the difference between the current time and the last borrowing and returning time, and get the current idle time;

[0068] The estimated rental time can be obtained as follows:

[0069] Obtain the historical rental time of each target supplier (the historical rental time is obtained by calculating the difference between the time when the book was returned and the time when the book was rented out within the historical time), perform average calculation, and obtain the estimated rental time;

[0070] For target demand side:

[0071] The current demand time is obtained as follows:

[0072] Get the current time and reservation time of the book rental of the demander, calculate the difference between the current time and reservation time, and get the current demand time;

[0073] The estimated rental time can be obtained as follows:

[0074] Obtain the historical borrowing time of each target demander (the historical borrowing time is obtained by obtaining the time of book rental and the time of book return in the historical time, and calculating the difference between the two), perform average calculation, and obtain the estimated rental time;

[0075] Step 2: Based on the idle information data of the target suppliers and the demand information data of the target demanders, the target suppliers and target demanders are prioritized and a set is constructed;

[0076] In some implementation schemes, the current idle time and estimated rental time of the target supplier are obtained and marked as Tdz and Tyz respectively. The idle evaluation value ZPz of the target supplier is calculated by the formula ZPz=a1*Tdz-a2*Tyz, wherein a1 and a2 are both proportional coefficients, a1 is 0.67, a2 is 0.33, and the values ​​of a1 and a2 represent the influence proportion of the current idle time and the estimated rental time on the idle evaluation value respectively;

[0077] Sort all target suppliers of the cloud library platform from large to small according to their idle evaluation values ​​TPz, and construct a set A;

[0078] The current demand time and estimated rental time of the target demander are obtained, and marked as Tdx and Tyx respectively. The demand assessment value ZPx of the target demander is calculated by the formula ZPx=b1*Tdx-b2*Tyx, where b1 and b2 are both proportional coefficients, b1 is 0.62, and b2 is 0.38. The values ​​of b1 and b2 represent the influence of the current demand time and the estimated rental time on the demand assessment value respectively.

[0079] Sort all target demand parties of the cloud library platform from large to small according to their demand evaluation values ​​ZPx, and construct set B;

[0080] Step 3: Analyze set A and set B, output a shared matching value, judge the matching degree between the target supplier and the target demander, and generate a shared matching signal;

[0081] Wherein, the shared match signal includes a shared match high signal or a shared match low signal;

[0082] In some implementation schemes, the number of subsets in set A and the number of subsets in set B are obtained, marked as the number of target suppliers and the number of target demanders, respectively, and the ratio of the number of target suppliers to the number of target demanders is calculated to obtain a number matching value;

[0083] Obtain a subset from set A and perform mean calculation to obtain the idle evaluation mean of the target supplier. Then obtain a subset from set B and perform mean calculation to obtain the demand evaluation mean of the target demander. Ratio calculation is performed between the idle evaluation mean and the demand evaluation mean to obtain the supply-demand matching value.

[0084] The number matching value and the supply-demand matching value are summed to obtain the shared matching value;

[0085] Compare the shared matching value with a preset shared matching range value;

[0086] If the shared matching value is within the preset shared matching range, it means that the current target supplier and the target demander have a high matching degree in terms of quantity and time, that is, the rental quantity and rental time of the target supplier can largely meet the rental quantity and rental time requirements of the target demander, and a shared matching high signal is generated;

[0087] If the shared matching value is not within the preset shared matching range, it means that the current target supplier and the target demander have a low matching in terms of quantity and time, that is, the rental quantity and rental time of the target supplier can meet the rental quantity and rental time requirements of the target demander to a small extent, and a shared matching low signal is generated;

[0088] Furthermore, if the shared matching value is less than the preset shared matching range value, a replenishment signal is generated, requiring the cloud book platform to provide more books;

[0089] If the shared matching value is greater than the preset shared matching range value, a traffic signal is generated, and the promotion method or strength can be increased to obtain more rental users;

[0090] The technical solution of the embodiment of the present invention is as follows: users are divided to obtain target suppliers and target demanders, and then the idle information data of the target suppliers and the demand information data of the target demanders are obtained respectively; based on the idle information data of the target suppliers and the demand information data of the target demanders, the target suppliers and the target demanders are prioritized to construct a set; set A and set B are analyzed to output a shared matching value, the matching degree of the target suppliers and the target demanders is judged, and a shared matching signal is generated; the present invention analyzes and processes the target suppliers and the target demanders in terms of idle time and supply and demand time through a cloud library platform to accurately judge the matching degree of the target suppliers and the target demanders of the cloud library platform, thereby improving the completion of book sharing and rental work.

[0091] Example 2

[0092] See also Figure 2 As shown, the present invention is a family book sharing management method, comprising the following steps:

[0093] Step 4: Based on the replenishment signal, obtain the replenishment speed and control the cloud book platform to replenish books;

[0094] In some embodiments, when a replenishment signal is obtained, the target supplier corresponding to each subset in set A is marked as an analysis supplier, and the target demander corresponding to each subset in set B is marked as an analysis demander;

[0095] Obtain the number of supplies from each analyzed supplier, add them up, and get the total supply. Then obtain the number of demands from each analyzed demander, add them up, and get the total demand.

[0096] Calculate the difference between the total demand and the total supply to get the total supply;

[0097] Then obtain the replenishment time, calculate the ratio of the total replenishment amount to the replenishment time, and obtain the replenishment speed;

[0098] The obtained replenishment speed is sent to the cloud book platform, so that the cloud book platform obtains relevant books and uploads the books according to the corresponding replenishment speed;

[0099] Specifically, how to obtain replenishment time:

[0100] First, the estimated rental time of each analyzed demand party is obtained, and the estimated rental time of each analyzed demand party is compared for overlap (i.e., the rental time of each analyzed demand party overlaps), and the estimated rental overlap period TCX i is obtained (the estimated rental overlap time indicates that there are more users who need to rent books during this period), where i represents the number of overlapping periods; and the overlap number GXc of each overlapping period is obtained, and then the rental amount corresponding to each overlap number is added up to obtain the total overlap demand value ZXg;

[0101] Based on the overlap period TCX i, the overlap number GGc of each analyzed supplier is obtained in the overlap period (overlap means that the estimated rental time of the analyzed suppliers overlaps with each other), and then the supply quantity corresponding to each overlap number is added up to obtain the total overlap supply value ZGc;

[0102] By formula Calculate the impact factor KC i of each overlap period;

[0103] Then, the replenishment time TB is calculated by the formula TB=KC1*TCX1+KC2*TCX3+...+KCi*TCXi;

[0104] The technical solution of the embodiment of the present invention is as follows: based on the replenishment signal, the replenishment speed is obtained, and the cloud book platform is controlled to replenish books. The present invention makes further analysis and judgment based on the signal and set data obtained in the embodiment, and takes the estimated rental and leasing time as the analysis object to obtain the replenishment time and output the replenishment speed, so as to effectively and orderly guarantee the borrowing work of the demander.

[0105] Example 3

[0106] See also Figure 3 As shown, the present invention is a family book sharing management system, comprising:

[0107] Collection module: divide users into target suppliers and target demanders, and then obtain the idle information data of the target suppliers and the demand information data of the target demanders respectively;

[0108] Analysis module: based on the idle information data of the target suppliers and the demand information data of the target demanders, prioritize the target suppliers and target demanders and build a set;

[0109] Judgment module: Analyzes set A and set B, outputs a shared matching value, judges the matching degree between the target supplier and the target demander, and generates a shared matching signal;

[0110] Management and control module: Based on the supply signal, obtain the supply speed and control the cloud book platform to replenish books.

[0111] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0112] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A family book sharing management method, characterized in that: The following steps are involved: Step 1: Divide users into target suppliers and target demanders, and then obtain the idle information data of the target suppliers and the demand information data of the target demanders respectively; Step 2: Based on the idle information data of the target suppliers and the demand information data of the target demanders, the target suppliers and target demanders are prioritized and a set is constructed; Step 3: Analyze the set, output the shared matching value, and then judge the matching degree between the target supplier and the target demander to generate a shared matching signal; the shared matching signal includes a replenishment signal; Step 4: Based on the replenishment signal, obtain the replenishment speed and control the cloud book platform to replenish books; In step 2, the process of constructing the set including the set A is as follows: Obtain the current idle time Tdz and estimated rental time Tyz of the target supplier, and calculate the idle evaluation value ZPz of the target supplier through the formula ZPz=a1*Tdz-a2*Tyz, where a1 and a2 are both proportional coefficients; Sort all target suppliers of the cloud library platform from large to small according to their idle evaluation values ​​TPz, and construct a set A; The construction process of building a set also includes set B: Obtain the current demand time Tdx and estimated rental time Tyx of the target demander, and calculate the target demander's demand assessment value ZPx through the formula ZPx=b1*Tdx-b2*Tyx, where b1 and b2 are both proportional coefficients; Sort all target demand parties of the cloud library platform from large to small according to their demand evaluation values ​​ZPx, and construct set B; In step 3, the shared matching signal is generated as follows: Obtain the number of subsets in set A and the number of subsets in set B, mark them as the number of target suppliers and the number of target demanders respectively, calculate the ratio of the number of target suppliers to the number of target demanders, and obtain the number matching value; Obtain a subset from set A and perform mean calculation to obtain the idle evaluation mean of the target supplier. Then obtain a subset from set B and perform mean calculation to obtain the demand evaluation mean of the target demander. Ratio calculation is performed between the idle evaluation mean and the demand evaluation mean to obtain the supply-demand matching value. The number matching value and the supply-demand matching value are summed to obtain the shared matching value; If the shared matching value is less than the preset shared matching range value, a replenishment signal is generated.

2. A family book sharing management method according to claim 1, characterized in that: In step 1, the idle information data includes the current idle time and the estimated rental time; The current idle time is obtained as follows: Get the current time and the last borrowing and returning time of the target supplier, calculate the difference between the current time and the last borrowing and returning time, and get the current idle time; The estimated rental time can be obtained as follows: Obtain the historical rental time of each target supplier, calculate the average, and obtain the estimated rental time.

3. A family book sharing management method according to claim 2, characterized in that: Demand information data includes current demand time and estimated rental time; The current demand time is obtained as follows: Get the current time and reservation time of the book rental of the demander, calculate the difference between the current time and reservation time, and get the current demand time; The estimated rental time can be obtained as follows: Obtain the historical borrowing time of each target demander, calculate the average, and obtain the estimated rental time.

4. A family book sharing management method according to claim 1, characterized in that: In step 4, when the replenishment signal is obtained, the target supplier corresponding to each subset in set A is marked as the analysis supplier, and the target demander corresponding to each subset in set B is marked as the analysis demander; Obtain the number of supplies from each analyzed supplier, add them up, and get the total supply. Then obtain the number of demands from each analyzed demander, add them up, and get the total demand. Calculate the difference between the total demand and the total supply to get the total supply; Then obtain the replenishment time, calculate the ratio of the total replenishment amount to the replenishment time, and get the replenishment speed.

5. A family book sharing management method according to claim 4, characterized in that: The replenishment time TB is calculated by the formula TB = KC1*TCX1+KC2*TCX3+...+KCi*TCXi; Among them, KC i is the impact factor, TCX i is the estimated overlapping period of leasing, and i represents the number of overlapping periods.

6. A family book sharing management method according to claim 5, characterized in that: The process of obtaining the impact factor is as follows: Compare the estimated rental time of each analyzed demand party to obtain the estimated rental overlap period TCXi, and obtain the overlap number GXc of each overlap period, and then add up the rental amount corresponding to each overlap number to obtain the total overlap demand value ZXg; Then, based on the overlap period TCXi, the overlap number GGc of each analyzed supplier is obtained, and then the supply quantity corresponding to each overlap number is added together to obtain the total overlap supply value ZGc; By formula The impact factor KC i of each overlap period is calculated.

7. A family book sharing management system, characterized in that: The system is used to execute the method described in any one of claims 1 to 6, and the system comprises: Collection module: divide users into target suppliers and target demanders, and then obtain the idle information data of the target suppliers and the demand information data of the target demanders respectively; Analysis module: based on the idle information data of the target suppliers and the demand information data of the target demanders, prioritize the target suppliers and target demanders and build a set; Judgment module: Analyzes set A and set B, outputs a shared matching value, judges the matching degree between the target supplier and the target demander, and generates a shared matching signal; Control module: Based on the supply signal, obtain the supply speed and control the cloud book platform to replenish books; The construction process of building a set also includes set B: Obtain the current demand time Tdx and estimated rental time Tyx of the target demander, and calculate the target demander's demand assessment value ZPx through the formula ZPx=b1*Tdx-b2*Tyx, where b1 and b2 are both proportional coefficients; Sort all target demand parties of the cloud library platform from large to small according to their demand evaluation values ​​ZPx, and construct set B; The generation process of the shared matching signal is: Obtain the number of subsets in set A and the number of subsets in set B, mark them as the number of target suppliers and the number of target demanders respectively, calculate the ratio of the number of target suppliers to the number of target demanders, and obtain the number matching value; Obtain a subset from set A and perform mean calculation to obtain the idle evaluation mean of the target supplier. Then obtain a subset from set B and perform mean calculation to obtain the demand evaluation mean of the target demander. Ratio calculation is performed between the idle evaluation mean and the demand evaluation mean to obtain the supply-demand matching value. The number matching value and the supply-demand matching value are summed to obtain the shared matching value; If the shared matching value is less than the preset shared matching range value, a replenishment signal is generated.

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