Intelligent book reading desk reservation method and system, electronic equipment and storage medium

Abstract

The invention relates to the technical field of book preview table reservation, and discloses an intelligent book reading table reservation method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining all first users, executing a credit rating strategy, and carrying out the credit rating classification of each first user using the intelligent book reading table reservation system; marking the first user with excellent credit as a second user; obtaining a reservation record of a second user, executing a divided time period frequency classification strategy, and classifying the frequency of the second user for reserving the intelligent book reading desk in each divided time period; for any high-frequency division time period, executing a front reminding strategy, and reminding a second user to reserve an intelligent book reading table before the high-frequency division time period; when the third user reserves the intelligent book reading table, the hidden display strategy is executed, the intelligent book reading table capable of being reserved is selectively displayed for the third user, and more intelligent and convenient reading experience is provided for the user.

Description

Technical Field

[0001] The invention relates to the technical field of book reading table reservation, and in particular to an intelligent book reading table reservation method, system, electronic equipment and storage medium. Background Art

[0002] With the development of information technology, library services are gradually becoming digitalized, and the traditional paper book borrowing method is gradually being replaced by modern service models such as online reservations and e-reading. This trend has greatly improved the utilization efficiency of book resources and user service satisfaction. The current book reservation system mostly relies on the network platform. Users need to make seat reservations and book previews through the library website or mobile application, lacking integrated services and on-site interactive functions. The existing online reservation system often cannot provide real-time feedback on the actual occupancy of the reading area, resulting in low reservation accuracy and affecting the user's reading experience. At the same time, after users make reservations for reading tables, they often reserve seats but do not use them, which greatly affects the efficiency of the preview table. It is also not conducive to maintaining a healthy reading environment.

[0003] This solution proposes an intelligent book reading table reservation method, system, electronic device and storage medium, which have solved the problems mentioned in the above background technology and improved the user's reading experience. Summary of the invention

[0004] The present invention provides an intelligent book reading table reservation method, system, electronic equipment and storage medium, which promote the solution of the problems mentioned in the above background technology.

[0005] The present invention provides the following technical solution: an intelligent book reading table reservation method: comprising: For any user who uses the intelligent book reading table reservation system; Get the user's reservation record and determine whether the reservation record is empty; When the user's reservation record is not empty, the user is recorded as the first user; Obtain all first users, implement the credit rating strategy, and classify the credit rating of each first user who uses the intelligent book reading table reservation system; The credit rating is divided into two categories, namely, excellent credit and good credit; Record the first user with good credit as the second user; For any second user; Divide the 24 hours of a day into 24 time periods in units of one hour; Obtaining the reservation record of the second user, executing the time-dividing frequency classification strategy, and classifying the frequency of the second user reserving the intelligent book reading table in each divided time period; According to the result of the frequency classification strategy of the division period, the division period is divided into a high-frequency division period and a low-frequency division period; For any high-frequency divided time period, a pre-reminder strategy is executed to remind the second user to reserve an intelligent book reading table before the high-frequency divided time period; Record the first user with good credit as the third user; For any third user; When a third user reserves an intelligent book reading table, a hidden display strategy is executed to selectively display the reservable intelligent book reading tables to the third user.

[0006] Preferably, the step of acquiring all first users, executing a credit rating strategy, and classifying the credit rating of each first user who uses the intelligent book reading table reservation system includes: The reservation record includes the reservation start time and reservation end time of each reservation of the intelligent book reading table; Among them, the intelligent book reading table is equipped with intelligent power consumption functions, specifically; Set the power-off determination duration; When it is detected that the first user leaves the intelligent book reading table, the time when the first user leaves is recorded as the first time; The time after the first time interval of the power-off determination time is recorded as the second time; When it is detected that the first user returns to the intelligent book reading table before the second moment, the intelligent book reading table continues to be powered; When it is detected that the first user does not return to the intelligent book reading table after the second moment, power supply to the intelligent book reading table is stopped; Continue to detect whether the first user returns to the intelligent book reading table after the second moment and before the reservation end moment; If the first user returns to the intelligent reading table after the second time and before the reservation end time, the time when the first user is detected to have returned to the intelligent book reading table is recorded as the third time; The duration between the second moment and the third moment is recorded as the idle duration; If the first user does not return to the intelligent reading table until the appointment end time, the duration between the second time and the appointment end time is recorded as the idle duration.

[0007] By setting the intelligent power consumption function, the effect of power off when people leave can be achieved. In this process, there is no rigid restriction that the power will be cut off immediately once the user leaves the reading table. Instead, it is taken into consideration that the user may only leave the reading table for a short time, such as going to the toilet or taking a short rest. At this time, if the power is cut off immediately, then after a short interval, when the user comes back, the power must be supplied. Although this process can save electricity, the operation is cumbersome. Frequent power outages will also cause damage to the reading table, which is often counterproductive. Therefore, setting the power off judgment time and humanized power supply can improve user satisfaction and the service life of the reading table.

[0008] Preferably, the step of acquiring all first users, executing a credit rating strategy, and classifying the credit rating of each first user who uses the intelligent book reading table reservation system includes: For any first user; The time period from the start time of the reservation to the end time of the reservation is recorded as the reservation period; Obtaining each reservation time period of the intelligent book reading table in the reservation record of the first user, adding up the duration of all reservation time periods, and recording the result of the addition as the total reservation duration; Obtain all idle time of the first user during the process of using the intelligent book reading table, add up all the idle time, and record the result of the addition as the total idle time; Calculate the total idle time / total appointment time, and record the result as the level determination ratio; Set the level ratio threshold; comparing the grade determination ratio to the grade ratio threshold; If the level determination ratio is less than the level ratio threshold, the credit rating of the first user is excellent; If the grade determination ratio ≧ the grade ratio threshold, the credit grade of the first user is good.

[0009] By calculating the grade judgment ratio and comparing it with the grade ratio threshold, this is a differentiated classification method. This method aims to provide different services to users with different performances. In this process, users with excellent performance mean more respect and care for the intelligent book reading table. Based on the concept of mutual benefit and win-win, at this time, the system will try its best to provide services to users with excellent credit, and for users with good credit, the service level will be reduced.

[0010] Preferably, the step of obtaining the reservation record of the second user, executing the time-dividing frequency classification strategy, and classifying the frequency of the second user reserving the intelligent book reading table in each divided time period includes: Record the current date as the appointment date; Record the date 30 days before the appointment date as the reference date; Obtain the reservation record of the second user between the reservation date and the reference date, and record it as a reference record; Set the number of appointments, and assume that the initial value of the number of appointments for each time period of the reference date is 0; For any divided time period, determining whether the second user in the reference record has reserved the intelligent book reading table in the divided time period; If the second user makes a reservation for the intelligent book reading table in the divided time period, the number of reservations in the divided time period is increased by 1; If the second user does not make a reservation for the intelligent book reading table within the divided time period, the number of reservations for the divided time period remains unchanged; Set the number of times threshold; Counting the number of appointments in each divided time period in the reference record, and comparing the number of appointments in each divided time period with the number threshold; If the number of appointments is ≧ the number threshold, the time period is a high-frequency time period; If the number of appointments is less than the number threshold, the time period is a low-frequency time period.

[0011] Preferably, the method of executing a pre-reminder strategy for any high-frequency divided time period to remind the second user to reserve an intelligent book reading table before the high-frequency divided time period includes: Set the pre-reminder duration; Obtain all high-frequency time periods in the reservation date, and judge each time period to determine whether the second user has reserved the intelligent book reading table in the high-frequency time period; If the second user has not reserved the intelligent book reading table, the start time of the high-frequency division time period is obtained, and the time before the start time with the leading reminder time is recorded as the fourth time; Obtain all unreserved intelligent book reading tables at the fourth moment and make a judgment; If there are any unreserved intelligent book reading tables at the fourth moment, remind the second user to make a reservation at the fourth moment, and display all unreserved intelligent book reading tables to the user; If all intelligent book reading tables are reserved at the fourth moment, the second user will not be reminded to make a reservation at the fourth moment.

[0012] By obtaining the second user's high-frequency time periods based on reference records, which means that the second user is more likely to reserve a reading table, the system can remind the second user to reserve as early as possible before the high-frequency time periods in order to provide more humane services, thereby avoiding learning interruptions caused by the second user forgetting to reserve a preview table and improving the second user's satisfaction.

[0013] Preferably, when the third user reserves an intelligent book reading table, a hidden display strategy is executed to selectively display the reservable intelligent book reading tables to the third user, including: When the third user reserves the intelligent book reading table on the reservation date, the reservation time of the third user reserving the intelligent book reading table is obtained and recorded as the fifth time; Get the divided time period where the fifth moment is located, and record it as the hidden time period; Acquire all second users whose high-frequency divided time periods for booking intelligent book reading tables are hidden time periods to form a first priority set; Acquire all second users who have not reserved the intelligent book reading table in the first priority set to form a second priority set; Get the number of elements in the second priority set to form the hidden number; Obtain the number of all unreserved intelligent book reading tables at the fifth moment, and record it as the supply quantity; Determine the relationship between the supply quantity and the hidden quantity; When the supply quantity ≦ the hidden quantity, calculate the supply quantity / 2, and the result is recorded as the first screening quantity; Obtain all unreserved intelligent book reading tables at the fifth moment, and select the first filtered number of intelligent book reading tables to display to the third user When the supply quantity > hidden quantity, calculate the supply quantity - hidden quantity, and the result is recorded as the second screening quantity; All unreserved intelligent book reading tables at the fifth moment are obtained, and a second filtered number of intelligent book reading tables are selected to be displayed to the third user.

[0014] By differentiating services between third users with good credit and second users, and providing better services to third users, the purpose is to improve the overall level of users using the intelligent book reading table. At the same time, the third users are also motivated so that they can recognize problems in the process of using the intelligent book reading table and correct them in time. Therefore, the reference records set in this plan are records from 30 days ago. The constantly updated reference records can motivate third users to correct mistakes and create a constantly improving reading environment.

[0015] In a first aspect, the present invention provides an intelligent book reading table reservation system, comprising: Login system, users log in to the intelligent book reading table reservation system with their account and password; Seat reservation system: The seat reservation system displays information of all intelligent book reading tables to users, including those that have not been reserved and those that have been reserved; The user selects the location of the intelligent book reading table to be reserved and the reservation time period through the seat reservation system. After the reservation is successful, the seat reservation system generates a QR code and sends it to the user; Check-in and unsubscribe system, users can check-in at the reserved intelligent book reading table through QR code within the reserved time period; When the user leaves early or ends the use, he / she can cancel the seat through the cancellation system to release the intelligent book reading table; The reservation record information management system records historical reservation records, including reservation time, seat information and check-in status.

[0016] In a second aspect, the present invention provides an electronic device comprising a memory and a processor connected via a data transmission bus, wherein the processor is used to execute program instructions stored in the memory to implement the intelligent book reading table reservation method as described in any one of claims 1 to 6.

[0017] In a third aspect, the present invention provides a computer-readable storage medium having executable program instructions stored thereon, characterized in that when the executable program instructions are executed by a processor, the intelligent book reading desk reservation method described in any one of claims 1 to 6 is implemented.

[0018] The present invention has the following beneficial effects: 1. Because it integrates the reservation optimization method, it can accurately predict seat demand and reasonably allocate resources, effectively solving the problem of tight seats during peak hours and improving user experience and library operating efficiency.

[0019] 2. Through the use of intelligent power-off mechanism, unnecessary energy consumption is greatly reduced, the implementation of environmental protection concept is promoted, the social responsibility of the library is reflected, and the operating costs are reduced.

[0020] 3. By dividing users' credit levels into two categories, excellent credit and good credit, if the user's credit is excellent, that is, the user is the second user, it is considered that the second user abides by the reservation rules and rarely reserves a reading table but does not use it. Therefore, more convenient services are provided to the second user. When a third user with good credit also reserves a reading table, some reading tables are hidden to prevent insufficient reading tables when the second user makes a reservation, thereby providing better services to the second user with excellent credit.

[0021] 4. For the second user, the time periods of the second user are classified into high-frequency time periods and low-frequency time periods, and it is considered that the probability of the user reserving a reading desk is high during the high-frequency time periods. At this time, it can be determined that the second user will also reserve a reading desk during the high-frequency time periods on the reservation date. If the second user does not reserve a reading desk during the high-frequency time periods, the user is reminded to reserve a reading desk in time to prevent the second user from forgetting to reserve a reading desk, resulting in no vacant reading desks, thereby providing the second user with better service. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 Schematic 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] Embodiment 1, an intelligent book reading table reservation method: comprising: For any user who uses the intelligent book reading table reservation system; Get the user's reservation record and determine whether the reservation record is empty; When the user's reservation record is not empty, the user is recorded as the first user; Obtain all first users, implement the credit rating strategy, and classify the credit rating of each first user who uses the intelligent book reading table reservation system; The credit rating is divided into two categories, namely, excellent credit and good credit; Record the first user with good credit as the second user; For any second user; Divide the 24 hours of a day into 24 time periods in units of one hour; Obtaining the reservation record of the second user, executing the time-dividing frequency classification strategy, and classifying the frequency of the second user reserving the intelligent book reading table in each divided time period; According to the result of the frequency classification strategy of the division period, the division period is divided into a high-frequency division period and a low-frequency division period; For any high-frequency divided time period, a pre-reminder strategy is executed to remind the second user to reserve an intelligent book reading table before the high-frequency divided time period; Record the first user with good credit as the third user; For any third user; When a third user makes a reservation for an intelligent book reading table, a hidden display strategy is executed to selectively display the reservable intelligent book reading tables for the third user.

[0025] The method of acquiring all first users, executing the credit rating strategy, and classifying the credit rating of each first user who uses the intelligent book reading table reservation system includes: The reservation record includes the reservation start time and reservation end time of each reservation of the intelligent book reading table; Among them, the intelligent book reading table is equipped with intelligent power consumption functions, specifically; Set the power-off determination duration; When it is detected that the first user leaves the intelligent book reading table, the time when the first user leaves is recorded as the first time; The time after the first time interval of the power-off determination time is recorded as the second time; When it is detected that the first user returns to the intelligent book reading table before the second moment, the intelligent book reading table continues to be powered; When it is detected that the first user does not return to the intelligent book reading table after the second moment, power supply to the intelligent book reading table is stopped; Continue to detect whether the first user returns to the intelligent book reading table after the second moment and before the reservation end moment; If the first user returns to the intelligent reading table after the second time and before the reservation end time, the time when the first user is detected to have returned to the intelligent book reading table is recorded as the third time; The duration between the second moment and the third moment is recorded as the idle duration; If the first user does not return to the intelligent reading table until the appointment end time, the duration between the second time and the appointment end time is recorded as the idle duration.

[0026] By setting the intelligent power usage function, the effect of power off when people leave can be achieved. The set power off judgment time is the power supply time reserved for the first user. This is used to provide the first user with an interval to go to the toilet or a short rest. If the first user only leaves the intelligent book reading table for a short time, there is no need to cut off the power of the intelligent book reading table. At the same time, if the first user leaves the intelligent book reading table for a long time, cutting off the power of the reading table can achieve the effect of saving electricity. Since it cannot be determined whether the first user will return to the reading table, the reservation status of all reading tables is occupied until the first user cancels the reservation of the reading table. This saves electricity while protecting the first user's reservation rights.

[0027] Through the use of the intelligent power-off mechanism, unnecessary energy consumption has been greatly reduced, the implementation of environmental protection concepts has been promoted, the library's sense of social responsibility has been reflected, and operating costs have been reduced.

[0028] The method of acquiring all first users, executing the credit rating strategy, and classifying the credit rating of each first user who uses the intelligent book reading table reservation system includes: For any first user; The time period from the start time of the reservation to the end time of the reservation is recorded as the reservation period; Obtaining each reservation time period of the intelligent book reading table in the reservation record of the first user, adding up the duration of all reservation time periods, and recording the result of the addition as the total reservation duration; Obtain all idle time of the first user during the process of using the intelligent book reading table, add up all the idle time, and record the result of the addition as the total idle time; Calculate the total idle time / total appointment time, and record the result as the level determination ratio; Set the level ratio threshold; comparing the grade determination ratio to the grade ratio threshold; If the level determination ratio is less than the level ratio threshold, the credit rating of the first user is excellent; If the grade determination ratio ≧ the grade ratio threshold, the credit grade of the first user is good.

[0029] By calculating the grade determination ratio, the grade determination ratio is compared with the grade ratio threshold. If the grade determination ratio is less than the grade ratio threshold, it is considered that the first user has fully utilized the intelligent reading desk reserved and the reading desk is rarely occupied, and the user's credit level is recorded as excellent. On the contrary, if the grade determination ratio is greater than or equal to the grade ratio threshold, it is considered that the first user often reserves the reading desk but does not use it. In this case, the user's credit level is considered to be good, which facilitates the subsequent execution of different services based on the user's credit level.

[0030] The step of obtaining the reservation record of the second user, executing the time-dividing frequency classification strategy, and classifying the frequency of the second user reserving the intelligent book reading table in each divided time period includes: Record the current date as the appointment date; Record the date 30 days before the appointment date as the reference date; Obtain the reservation record of the second user between the reservation date and the reference date, and record it as a reference record; Set the number of appointments, and assume that the initial value of the number of appointments for each time period of the reference date is 0; For any divided time period, determining whether the second user in the reference record has reserved the intelligent book reading table in the divided time period; If the second user makes a reservation for the intelligent book reading table in the divided time period, the number of reservations in the divided time period is increased by 1; If the second user does not make a reservation for the intelligent book reading table within the divided time period, the number of reservations for the divided time period remains unchanged; Set the number of times threshold; Counting the number of appointments in each divided time period in the reference record, and comparing the number of appointments in each divided time period with the number threshold; If the number of appointments is ≧ the number threshold, the time period is a high-frequency time period; If the number of appointments is less than the number threshold, the time period is a low-frequency time period.

[0031] The method of executing the pre-reminder strategy for any high-frequency divided time period to remind the second user to reserve the intelligent book reading table before the high-frequency divided time period includes: Set the pre-reminder duration; Obtain all high-frequency time periods in the reservation date, and judge each time period to determine whether the second user has reserved the intelligent book reading table in the high-frequency time period; If the second user has not reserved the intelligent book reading table, the start time of the high-frequency division time period is obtained, and the time before the start time with the leading reminder time is recorded as the fourth time; Obtain all unreserved intelligent book reading tables at the fourth moment and make a judgment; If there are any unreserved intelligent book reading tables at the fourth moment, remind the second user to make a reservation at the fourth moment, and display all unreserved intelligent book reading tables to the user; If all intelligent book reading tables are reserved at the fourth moment, the second user will not be reminded to make a reservation at the fourth moment.

[0032] By dividing the time periods when the second user uses the intelligent book reading table into high-frequency time periods and low-frequency time periods based on reference records, and determining that the probability of the second user reserving the reading table is high during the high-frequency time periods, the second user can be reminded in advance to increase the success rate of the second user reserving the intelligent book reading table, thereby improving the service satisfaction of the second user.

[0033] When the third user reserves an intelligent book reading table, the hidden display strategy is executed to selectively display the reservable intelligent book reading tables for the third user, including: When the third user reserves the intelligent book reading table on the reservation date, the reservation time of the third user reserving the intelligent book reading table is obtained and recorded as the fifth time; Get the divided time period where the fifth moment is located, and record it as the hidden time period; Acquire all second users whose high-frequency divided time periods for booking intelligent book reading tables are hidden time periods to form a first priority set; Acquire all second users who have not reserved the intelligent book reading table in the first priority set to form a second priority set; Get the number of elements in the second priority set to form the hidden number; Obtain the number of all unreserved intelligent book reading tables at the fifth moment, and record it as the supply quantity; Determine the relationship between the supply quantity and the hidden quantity; When the supply quantity ≦ the hidden quantity, calculate the supply quantity / 2, and the result is recorded as the first screening quantity; Obtain all unreserved intelligent book reading tables at the fifth moment, and select the first filtered number of intelligent book reading tables to display to the third user When the supply quantity > hidden quantity, calculate the supply quantity - hidden quantity, and the result is recorded as the second screening quantity; All unreserved intelligent book reading tables at the fifth moment are obtained, and a second filtered number of intelligent book reading tables are selected to be displayed to the third user.

[0034] When a third user with good credit makes a reservation for an intelligent book reading table, if it is determined that the second user will make a reservation for the intelligent book reading table during the hidden period, the third user's options for reserving the intelligent book reading table will be reduced. Specifically, when the supply quantity is less than or equal to the hidden quantity, half of the intelligent book reading tables in the supply quantity will be displayed to the third user, ensuring that the third user can make a reservation for the reading table while providing the second user with a reservable reading table; when the supply quantity is greater than the hidden quantity, first ensure that the second user has enough reservable reading tables, and reserve some reservable reading tables for the third user, and provide differentiated services, so as to improve the overall level of users using the intelligent book reading tables.

[0035] Because it integrates reservation optimization methods, it can accurately predict seat demand and rationally allocate resources, effectively solving the problem of tight seats during peak hours and improving user experience and the library's operational efficiency.

[0036] Embodiment 2, an intelligent book reading table reservation system, comprising: Login system, users log in to the intelligent book reading table reservation system with their account and password; Seat reservation system: The seat reservation system displays information of all intelligent book reading tables to users, including those that have not been reserved and those that have been reserved; The user selects the location of the intelligent book reading table to be reserved and the reservation time period through the seat reservation system. After the reservation is successful, the seat reservation system generates a QR code and sends it to the user; Check-in and unsubscribe system, users can check-in at the reserved intelligent book reading table through QR code within the reserved time period; When the user leaves early or ends the use, he / she can cancel the seat through the cancellation system to release the intelligent book reading table; The reservation record information management system records historical reservation records, including reservation time, seat information and check-in status.

[0037] Embodiment 3, an electronic device, comprising a memory and a processor connected via a data transmission bus, wherein the processor is used to execute program instructions stored in the memory to implement the intelligent book reading table reservation method as described in any one of claims 1 to 6.

[0038] Embodiment 4, a computer-readable storage medium having executable program instructions stored thereon, characterized in that when the executable program instructions are executed by a processor, the intelligent book reading table reservation method as described in any one of claims 1 to 6 is implemented.

[0039] In this application, the seats configured on the intelligent book reading table have the function of posture correction, which can correct the user's sitting posture and avoid physical damage caused by reading in a non-standard sitting posture for a long time, thereby achieving seamless connection and flexible adjustment of the auxiliary functions of the reading table, greatly improving the user's reading comfort and the library's service efficiency.

[0040] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0041] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An intelligent book reading table reservation method, characterized in that: include: For any user who uses the intelligent book reading table reservation system; Get the user's reservation record and determine whether the reservation record is empty; When the user's reservation record is not empty, the user is recorded as the first user; Obtain all first users, implement the credit rating strategy, and classify the credit rating of each first user who uses the intelligent book reading table reservation system; The credit rating is divided into two categories, namely, excellent credit and good credit; Record the first user with good credit as the second user; For any second user; Divide the 24 hours of a day into 24 time periods in units of one hour; Obtaining the reservation record of the second user, executing the time-dividing frequency classification strategy, and classifying the frequency of the second user reserving the intelligent book reading table in each divided time period; According to the result of the frequency classification strategy of the division period, the division period is divided into a high-frequency division period and a low-frequency division period; For any high-frequency divided time period, a pre-reminder strategy is executed to remind the second user to reserve an intelligent book reading table before the high-frequency divided time period; Record the first user with good credit as the third user; For any third user; When a third user reserves an intelligent book reading table, a hidden display strategy is executed to selectively display the reservable intelligent book reading tables to the third user.

2. The intelligent book reading table reservation method according to claim 1, characterized in that: The method of acquiring all first users, executing the credit rating strategy, and classifying the credit rating of each first user who uses the intelligent book reading table reservation system includes: The reservation record includes the reservation start time and reservation end time of each reservation of the intelligent book reading table; Among them, the intelligent book reading table is equipped with intelligent power consumption functions, specifically; Set the power-off determination duration; When it is detected that the first user leaves the intelligent book reading table, the time when the first user leaves is recorded as the first time; The time after the first time interval of the power-off determination time is recorded as the second time; When it is detected that the first user returns to the intelligent book reading table before the second moment, the intelligent book reading table continues to be powered; When it is detected that the first user does not return to the intelligent book reading table after the second moment, power supply to the intelligent book reading table is stopped; Continue to detect whether the first user returns to the intelligent book reading table after the second moment and before the reservation end moment; If the first user returns to the intelligent reading table after the second time and before the reservation end time, the time when the first user is detected to have returned to the intelligent book reading table is recorded as the third time; The duration between the second moment and the third moment is recorded as the idle duration; If the first user does not return to the intelligent reading table until the appointment end time, the duration between the second time and the appointment end time is recorded as the idle duration.

3. The intelligent book reading table reservation method according to claim 2, characterized in that: The method of acquiring all first users, executing the credit rating strategy, and classifying the credit rating of each first user who uses the intelligent book reading table reservation system includes: For any first user; The time period from the start time of the reservation to the end time of the reservation is recorded as the reservation period; Obtaining each reservation time period of the intelligent book reading table in the reservation record of the first user, adding up the duration of all reservation time periods, and recording the result of the addition as the total reservation duration; Obtain all idle time of the first user during the process of using the intelligent book reading table, add up all the idle time, and record the result of the addition as the total idle time; Calculate the total idle time / total appointment time, and record the result as the level determination ratio; Set the level ratio threshold; comparing the grade determination ratio to the grade ratio threshold; If the level determination ratio is less than the level ratio threshold, the credit rating of the first user is excellent; If the grade determination ratio ≧ the grade ratio threshold, the credit grade of the first user is good.

4. The intelligent book reading table reservation method according to claim 1, characterized in that: The step of obtaining the reservation record of the second user, executing the time-dividing frequency classification strategy, and classifying the frequency of the second user reserving the intelligent book reading table in each divided time period includes: Record the current date as the appointment date; Record the date 30 days before the appointment date as the reference date; Obtain the reservation record of the second user between the reservation date and the reference date, and record it as a reference record; Set the number of appointments, and assume that the initial value of the number of appointments for each time period of the reference date is 0; For any divided time period, determining whether the second user in the reference record has reserved the intelligent book reading table in the divided time period; If the second user makes a reservation for the intelligent book reading table in the divided time period, the number of reservations in the divided time period is increased by 1; If the second user does not make a reservation for the intelligent book reading table within the divided time period, the number of reservations for the divided time period remains unchanged; Set the number of times threshold; Counting the number of appointments in each divided time period in the reference record, and comparing the number of appointments in each divided time period with the number threshold; If the number of appointments is ≧ the number threshold, the time period is a high-frequency time period; If the number of appointments is less than the number threshold, the time period is a low-frequency time period.

5. The intelligent book reading table reservation method according to claim 4, characterized in that: The method of executing the pre-reminder strategy for any high-frequency divided time period to remind the second user to reserve the intelligent book reading table before the high-frequency divided time period includes: Set the pre-reminder duration; Obtain all high-frequency time periods in the reservation date, and judge each time period to determine whether the second user has reserved the intelligent book reading table in the high-frequency time period; If the second user has not reserved the intelligent book reading table, the start time of the high-frequency division time period is obtained, and the time before the start time with the leading reminder time is recorded as the fourth time; Obtain all unreserved intelligent book reading tables at the fourth moment and make a judgment; If there are any unreserved intelligent book reading tables at the fourth moment, remind the second user to make a reservation at the fourth moment, and display all unreserved intelligent book reading tables to the user; If all intelligent book reading tables are reserved at the fourth moment, the second user will not be reminded to make a reservation at the fourth moment.

6. The intelligent book reading table reservation method according to claim 1, characterized in that: When the third user reserves an intelligent book reading table, the hidden display strategy is executed to selectively display the reservable intelligent book reading tables for the third user, including: When the third user reserves the intelligent book reading table on the reservation date, the reservation time of the third user reserving the intelligent book reading table is obtained and recorded as the fifth time; Get the divided time period where the fifth moment is located, and record it as the hidden time period; Acquire all second users whose high-frequency divided time periods for booking intelligent book reading tables are hidden time periods to form a first priority set; Acquire all second users who have not reserved the intelligent book reading table in the first priority set to form a second priority set; Get the number of elements in the second priority set to form the hidden number; Obtain the number of all unreserved intelligent book reading tables at the fifth moment, and record it as the supply quantity; Determine the relationship between the supply quantity and the hidden quantity; When the supply quantity ≦ the hidden quantity, calculate the supply quantity / 2, and the result is recorded as the first screening quantity; Obtain all unreserved intelligent book reading tables at the fifth moment, and select the first filtered number of intelligent book reading tables to display to the third user When the supply quantity > hidden quantity, calculate the supply quantity - hidden quantity, and the result is recorded as the second screening quantity; All unreserved intelligent book reading tables at the fifth moment are obtained, and a second filtered number of intelligent book reading tables are selected to be displayed to the third user.

7. An intelligent book reading table reservation system, comprising: Login system, users log in to the intelligent book reading table reservation system with their account and password; Seat reservation system: The seat reservation system displays information of all intelligent book reading tables to users, including those that have not been reserved and those that have been reserved; The user selects the location of the intelligent book reading table to be reserved and the reservation time period through the seat reservation system. After the reservation is successful, the seat reservation system generates a QR code and sends it to the user; Check-in and unsubscribe system, users can check-in at the reserved intelligent book reading table through QR code within the reserved time period; When the user leaves early or ends the use, he / she can cancel the seat through the cancellation system to release the intelligent book reading table; The reservation record information management system records historical reservation records, including reservation time, seat information and check-in status.

8. An electronic device, characterized in that: It comprises a memory and a processor connected via a data transmission bus, wherein the processor is used to execute program instructions stored in the memory to implement the intelligent book reading table reservation method according to any one of claims 1 to 6.

9. A computer-readable storage medium having executable program instructions stored thereon, characterized in that: When the executable program instructions are executed by the processor, the intelligent book reading table reservation method according to any one of claims 1 to 6 is implemented.

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